From 65811c11243a22382d83a480e5d1a6d85d83fd83 Mon Sep 17 00:00:00 2001 From: James Falkner Date: Fri, 31 May 2024 16:51:50 -0400 Subject: [PATCH 01/26] move to quarkus --- README.md | 129 +- app/Pipfile | 11 - app/Pipfile.lock | 20 - app/backend/.dockerignore | 4 + app/backend/.gitignore | 44 + app/backend/Containerfile | 31 + app/backend/Pipfile | 32 - app/backend/Pipfile.lock | 2609 ---------- app/backend/README.md | 56 + app/backend/app.py | 230 - app/backend/app_config.py | 51 - app/backend/app_logging.py | 117 - app/backend/chatbot.py | 165 - app/backend/data_classes.py | 91 - app/backend/db_utils.py | 458 -- .../milvus_retriever_with_score_threshold.py | 72 - app/backend/pom.xml | 143 + app/backend/public/.folder_keep | 0 app/backend/requirements.txt | 97 - .../java/org/parasol/ai/ClaimService.java | 30 + .../main/java/org/parasol/model/Claim.java | 25 + .../java/org/parasol/model/ClaimBotQuery.java | 11 + .../parasol/model/ClaimBotQueryResponse.java | 11 + 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OpenShift AI Unleashed: Transforming Claims Processing for Maximum Efficiency! +# Parasol Insurance -## Introduction +A [Quarkus](https://quarkus.io) + [React](https://react.dev/) AI app for managing ficticious insurance claims. -This repository contains the code, instructions, resources and materials associated with the Lab called **OpenShift AI Unleashed: Transforming Claims Processing for Maximum Efficiency!**. +![App](app/frontend/src/app/assets/images/sample.png) -To consult the static version of the instructions, please use [this URL](https://rh-aiservices-bu.github.io/parasol-insurance/) +## Pre-requisites -If you want to participate in the creation and update of this content, please consult the sections below. +- Java 17 or later -- Get it https://adoptium.net/ or install using your favorite package manager. +- Maven 3.9.6 or later -- Get it https://maven.apache.org/download.cgi or install using your favorite package manager. +- Node.js 21 or later -- Get it https://nodejs.org/en/download/package-manager here) or install using your favorite package manager. +- An OpenAI-capable LLM inference server. Get one here with [InstructLab](https://github.com/instructlab/instructlab)! -
- Display Development-centric information +## Configuration -## General Development Information - -### Working with this repo - -- `main` branch is the one used for production. That's where the Prod and Test catalog items from [demo.redhat.com](https://demo.redhat.com) point to (instructions, materials used,...). -- `dev` branch is for development. That's where the Dev catalog item points to. -- Branches are made from `dev` (hot fixes could be made from `main` if really needed). -- When ready, PRs should be made to `dev`. Once all features, bug fixes,... are checked in and tested for a new release, another PR will be made from `dev` to `main`. -- Branches must be prefixed with `/feature` (example `feature/new-pipeline-instructions`), `bugfix`, or other meaningful info. -- Add your name/handle in the branch name if needed to avoid confusion. -- If your development relates to an Issue or a Feature Request, add its reference in the branch name. -- Try to stash your changes before submitting a PR. - -## How to update the **Instructions** - -Useful link: [https://redhat-scholars.github.io/build-course/rhs-build-course/develop.html](https://redhat-scholars.github.io/build-course/rhs-build-course/develop.html) - -### Requirements - -- Podman or Docker - -### Development - -- Add/Modify/Delete content in [content/modules/ROOT](content/modules/ROOT). -- Navigation is handled in `nav.adoc`. -- Content pages are in the `pages` folder. -- To build the site, from the root of the repo, run `./content/utilities/lab-build`. -- To serve the site for previewing, from the root of the repo, run `./content/utilities/lab-serve`. -- The site will be visible at [http://localhost:8443/](http://localhost:8443/) -- When finished, you can stop serving the site by running from the root of the repo `./content/utilities/lab-stop`. - -## How to update the **Application** - -### Requirements - -- Python 3.11 -- Nodejs > 18 -- An existing instance of Hugging Face TGI with a loaded model available at `INFERENCE_SERVER_URL`. This application is based on Mistral-TB Prompt format. You will need to modify this format if you are using a different model. - -### Installation - -Run `npm install` from the main folder. - -If you want to install packages manually: - -- In the `frontend` folder, install the node modules with `npm install`. -- In the `backend` folder, create a venv and install packages with the provided Pipfile/Pipfile.lock files. -- In the `backend` folder, create the file `.env` base on the example `.env.example` and enter the configuration for the Inference server. - -### Development - -From the main folder, launch `npm run dev` or `./start-dev.sh`. This will launch both backend and frontend. - -- Frontend is accessible at `http://localhost:9000` -- Backend is accessible at `http://localhost:5000`, with Swagger API doc at `http://localhost:5000/docs` - -```bash -#!/bin/bash - -# Script to restart all showroom pods - You must be logged in as a cluster admin to run this script - -# Get all namespaces -namespaces=$(oc get namespaces -o jsonpath='{.items[*].metadata.name}' \ - | tr ' ' '\n' \ - | grep '^showroom') - -# Stop all the pods -for namespace in $namespaces; do - # Check if the deployment "showroom" exists in the namespace - if oc -n $namespace get deployment showroom &> /dev/null; then - # If it exists, restart the rollout - # oc -n $namespace rollout restart deployment/showroom - oc -n $namespace scale deploy showroom --replicas=0 - fi -done - - -# wait for them all to fully stop -# start all the pods -for namespace in $namespaces; do - # Check if the deployment "showroom" exists in the namespace - if oc -n $namespace get deployment showroom &> /dev/null; then - # If it exists, restart the rollout - # oc -n $namespace rollout restart deployment/showroom - oc -n $namespace scale deploy showroom --replicas=1 - fi -done +You can change the coordinates (host/port and other stuff) for the LLM and backend in `app/backend/src/main/resources/application.properties`. +## Running ``` +cd app; npm install +cd frontend; npm install +cd ../.. +./start-dev.sh +``` +Frontend web app will open on `localhost:9000`, backend on `localhost:5000`. -## How to graduate code from dev to main - -- From `dev`, create a new branch, like `feature/prepare-for-main-merge`. -- Modify the following files to make their relevant content point to `main`: - - `bootstrap/applicationset/applicationset-bootstrap.yaml` - - `content/antora.yml` - - `content/modules/ROOT/pages/05-03-web-app-deploy-application.adoc` -- Make a pull request from this branch to `main`, review and merge - -
- -
- Links for Summit event environment assignment - -- URL for all labs: [https://one.demo.redhat.com/](https://one.demo.redhat.com/) -- Search for `parasol` - -
diff --git a/app/Pipfile b/app/Pipfile deleted file mode 100644 index 71e4f7cb..00000000 --- a/app/Pipfile +++ /dev/null @@ -1,11 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[packages] - -[dev-packages] - -[requires] -python_version = "3.9" diff --git a/app/Pipfile.lock b/app/Pipfile.lock deleted file mode 100644 index 8aee7e8e..00000000 --- a/app/Pipfile.lock +++ /dev/null @@ -1,20 +0,0 @@ -{ - "_meta": { - "hash": { - "sha256": "a36a5392bb1e8bbc06bfaa0761e52593cf2d83b486696bf54667ba8da616c839" - }, - "pipfile-spec": 6, - "requires": { - "python_version": "3.9" - }, - "sources": [ - { - "name": "pypi", - "url": "https://pypi.org/simple", - "verify_ssl": true - } - ] - }, - "default": {}, - "develop": {} -} diff --git a/app/backend/.dockerignore b/app/backend/.dockerignore new file mode 100644 index 00000000..39775685 --- /dev/null +++ b/app/backend/.dockerignore @@ -0,0 +1,4 @@ +!target/*-runner +!target/*-runner.jar +!target/lib/* +!target/quarkus-app/* diff --git a/app/backend/.gitignore b/app/backend/.gitignore new file mode 100644 index 00000000..36d47ed0 --- /dev/null +++ b/app/backend/.gitignore @@ -0,0 +1,44 @@ +#Maven +target/ +pom.xml.tag +pom.xml.releaseBackup +pom.xml.versionsBackup +release.properties +.flattened-pom.xml + +# Eclipse +.project +.classpath +.settings/ +bin/ + +# IntelliJ +.idea +*.ipr +*.iml +*.iws + +# NetBeans +nb-configuration.xml + +# Visual Studio Code +.vscode +.factorypath + +# OSX +.DS_Store + +# Vim +*.swp +*.swo + +# patch +*.orig +*.rej + +# Local environment +.env + +# Plugin directory +/.quarkus/cli/plugins/ +node_modules/ \ No newline at end of file diff --git a/app/backend/Containerfile b/app/backend/Containerfile new file mode 100644 index 00000000..3b46a57c --- /dev/null +++ b/app/backend/Containerfile @@ -0,0 +1,31 @@ +# FROM registry.access.redhat.com/ubi9/python-311:1-52.1712567218 +# WORKDIR /chat +# COPY requirements.txt . +# RUN pip install --upgrade pip +# RUN pip install --no-cache-dir --upgrade -r /chat/requirements.txt +# COPY chatbot_ui.py . +# EXPOSE 8501 +# ENTRYPOINT [ "streamlit", "run", "chatbot_ui.py" ] + +## Stage 1 : build with maven builder image with native capabilities +FROM registry.access.redhat.com/ubi8/openjdk-21 AS build +COPY pom.xml /home/jboss +WORKDIR /home/jboss/ +RUN mvn -B org.apache.maven.plugins:maven-dependency-plugin:3.1.2:go-offline +COPY src /home/jboss/src +RUN mvn clean package -DskipTests + +## Stage 2 : create the docker final image +FROM registry.access.redhat.com/ubi8/openjdk-21-runtime +WORKDIR /deployments/ +COPY --from=build --chown=185 /home/jboss/target/quarkus-app/lib/ /deployments/lib/ +COPY --from=build --chown=185 /home/jboss/target/quarkus-app/*.jar /deployments/ +COPY --from=build --chown=185 /home/jboss/target/quarkus-app/app/ /deployments/app/ +COPY --from=build --chown=185 /home/jboss/target/quarkus-app/quarkus/ /deployments/quarkus/ + +EXPOSE 8501 +USER 185 +ENV JAVA_OPTS_APPEND="-Dquarkus.http.host=0.0.0.0 -Dquarkus.http.port=8501 -Djava.util.logging.manager=org.jboss.logmanager.LogManager" +ENV JAVA_APP_JAR="/deployments/quarkus-run.jar" + +ENTRYPOINT [ "/opt/jboss/container/java/run/run-java.sh" ] \ No newline at end of file diff --git a/app/backend/Pipfile b/app/backend/Pipfile deleted file mode 100644 index 611d5ab0..00000000 --- a/app/backend/Pipfile +++ /dev/null @@ -1,32 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - 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-import boto3 -import data_classes -import db_utils -import chatbot -import httpx -from app_config import LOG_LEVELS, LOGGING_CONFIG -from dotenv import dotenv_values, load_dotenv -from fastapi import FastAPI, File, HTTPException, Request, UploadFile, WebSocket -from fastapi.middleware.cors import CORSMiddleware -from fastapi.responses import Response, StreamingResponse -from fastapi.staticfiles import StaticFiles -from uvicorn import run -from fastapi import HTTPException -from starlette.exceptions import HTTPException as StarletteHTTPException - -# Load local env vars if present -load_dotenv() - -# Initialize logger -logger = logging.getLogger("app") - -# Get config -config = { - **dotenv_values(".env"), # load shared development variables - **dotenv_values(".env.secret"), # load sensitive variables - **os.environ, # override loaded values with environment variables -} -logger.info(f'Config: INFERENCE_SERVER_URL={config["INFERENCE_SERVER_URL"]}') - -# App creation -app = FastAPI() - -origins = ["*"] -methods = ["*"] -headers = ["*"] - -app.add_middleware( - CORSMiddleware, - allow_origins=origins, - allow_credentials=True, - allow_methods=methods, - allow_headers=headers -) - -# Initialize DB -db = db_utils.Database(config, logger) - -# Initialize S3 -s3 = boto3.client( - 's3', - endpoint_url=config["S3_ENDPOINT_URL"], - aws_access_key_id=config["AWS_ACCESS_KEY_ID"], - aws_secret_access_key=config["AWS_SECRET_ACCESS_KEY"], - use_ssl=config["S3_ENDPOINT_URL"].startswith("https"),) - -# Initialize Chatbot -chatbot = chatbot.Chatbot(config, logger) - -# Status API -@app.get("/health") -async def health(): - """ Basic status """ - return {"message": "Status:OK"} - -@app.get("/api/db/tables") -async def db_list_tables(): - """ - List all the available tables in the Database - """ - tables = db.list_tables() - return tables - -@app.get("/api/db/claims", response_model = List[data_classes.ClaimBaseInfo]) -async def db_list_claims(): - """ - List all the claims - """ - claims = db.list_claims() - return claims - -@app.get("/api/db/claims/{claim_id}", response_model = data_classes.ClaimFullInfo) -async def db_get_claim_info(claim_id): - """ - Returns the full content of a claim - """ - claim_info = db.get_claim_info(claim_id) - return claim_info - -@app.post("/api/db/claims", response_model = data_classes.ClaimBaseInfo) -async def db_create_claim(claim: data_classes.ClaimCreationInfo): - """ - Creates a new claim - """ - claim_id = db.create_claim(claim) - claim_info = db.get_claim_base_info(claim_id) - return claim_info - -@app.post("/api/db/claims/{claim_id}/original_image") -async def db_upload_original_image(claim_id: int, image: UploadFile = File(...)): - """ - Uploads an original image of a claim - """ - # construct new filename with timestamp - timestamp = int(time.time()) - sha256_hash = hashlib.sha256(image.filename.encode()).hexdigest() - image_key = f"original_images/{claim_id}_{timestamp}_{sha256_hash[:8]}_{image.filename}" - - # Upload the image to S3 - s3.put_object( - Bucket=config["IMAGES_BUCKET"], - Key=image_key, - Body=image.file, - ) - # Save image info to DB - db.upload_original_image(claim_id, image.filename, image_key) - - return {"message": f"{image.filename} uploaded as an original image of claim {claim_id}"} - -@app.post("/api/db/claims/{claim_id}/processed_image") -async def db_upload_processed_image(claim_id: int, image: UploadFile = File(...)): - """ - Uploads a processed image of a claim - """ - # construct new filename with timestamp - timestamp = int(time.time()) - sha256_hash = hashlib.sha256(image.filename.encode()).hexdigest() - image_key = f"processed_images/{claim_id}_{timestamp}_{sha256_hash[:8]}_{image.filename}" - - # Upload the image to S3 - s3.put_object( - Bucket=config["IMAGES_BUCKET"], - Key=image_key, - Body=image.file, - ) - # Save image info to DB - db.upload_processed_image(claim_id, image.filename, image_key) - - return {"message": f"{image.filename} uploaded as a processed image of claim {claim_id}"} - -@app.post("/api/db/claims/{claim_id}/summary") -async def db_update_claim_summary(claim_id: int, summary: str): - """ - Updates the summary of a claim - """ - db.update_claim_summary(claim_id, summary) - return {"message": "Summary uploaded"} - -@app.post("/api/db/claims/{claim_id}/time") -async def db_update_claim_time(claim_id: int, time: str): - """ - Updates the time of a claim - """ - db.update_claim_time(claim_id, time) - return {"message": "Time uploaded"} - -@app.post("/api/db/claims/{claim_id}/location") -async def db_update_claim_location(claim_id: int, location: str): - """ - Updates the location of a claim - """ - db.update_claim_location(claim_id, location) - return {"message": "Location uploaded"} - -@app.post("/api/db/claims/{claim_id}/sentiment") -async def db_update_claim_sentiment(claim_id: int, sentiment: str): - """ - Updates the sentiment of a claim - """ - db.update_claim_sentiment(claim_id, sentiment) - return {"message": "Sentiment uploaded"} - -@app.get("/api/images") -async def s3_list_images(): - """ - Returns the list of images - """ - images = s3.list_objects(Bucket=config["IMAGES_BUCKET"]) - return images - -@app.get("/api/images/{image_key:path}") -async def s3_get_image(image_key: str): - """ - Returns the image with the given key - """ - image = s3.get_object(Bucket=config["IMAGES_BUCKET"], Key=image_key) - return StreamingResponse(image["Body"], media_type=image["ContentType"]) - -@app.websocket("/ws/query") -async def websocket_endpoint(websocket: WebSocket): - await websocket.accept() - - while True: - data = await websocket.receive_text() - data = json.loads(data) - for next_item in chatbot.stream(data["query"], data["claim"]): - answer = json.dumps(next_item) - await websocket.send_text(answer) - -# Serve React App -class SPAStaticFiles(StaticFiles): - async def get_response(self, path: str, scope): - if len(sys.argv) > 1 and sys.argv[1] == "dev": - # We are in Dev mode, proxy to the React dev server - async with httpx.AsyncClient() as client: - response = await client.get(f"http://localhost:9000/{path}") - return Response(response.text, status_code=response.status_code) - else: - try: - return await super().get_response(path, scope) - except (HTTPException, StarletteHTTPException) as ex: - if ex.status_code == 404: - return await super().get_response("index.html", scope) - else: - raise ex - -app.mount("/", SPAStaticFiles(directory="public", html=True), name="spa-static-files") - -# Launch the FastAPI server -if __name__ == "__main__": - port = int(os.getenv('PORT', '5000')) - run(app, host="0.0.0.0", port=port) diff --git a/app/backend/app_config.py b/app/backend/app_config.py deleted file mode 100644 index 1d8d4754..00000000 --- a/app/backend/app_config.py +++ /dev/null @@ -1,51 +0,0 @@ -import logging -import logging.config -import app_logging -from typing import ( - Any, - Dict, -) - -LOG_LEVELS: Dict[str, int] = { - "critical": logging.CRITICAL, - "error": logging.ERROR, - "warning": logging.WARNING, - "info": logging.INFO, - "debug": logging.DEBUG, -} - -LOGGING_CONFIG: Dict[str, Any] = { - "version": 1, - "disable_existing_loggers": False, - "formatters": { - "default": { - "()": "app_logging.DefaultFormatter", - "fmt": "%(levelprefix)s %(message)s", - "use_colors": None, - }, - "access": { - "()": "app_logging.AccessFormatter", - "fmt": '%(levelprefix)s %(client_addr)s - "%(request_line)s" %(status_code)s', # noqa: E501 - }, - }, - "handlers": { - "default": { - "formatter": "default", - "class": "logging.StreamHandler", - "stream": "ext://sys.stderr", - }, - "access": { - "formatter": "access", - "class": "logging.StreamHandler", - "stream": "ext://sys.stdout", - }, - }, - "loggers": { - "app": {"handlers": ["default"], "level": "INFO", "propagate": False}, - "app.error": {"level": "INFO"}, - "app.access": {"handlers": ["access"], "level": "INFO", "propagate": False}, - }, -} - -LOGGING_CONFIG["formatters"]["default"]["use_colors"] = True -logging.config.dictConfig(LOGGING_CONFIG) \ No newline at end of file diff --git a/app/backend/app_logging.py b/app/backend/app_logging.py deleted file mode 100644 index c88d5fe5..00000000 --- a/app/backend/app_logging.py +++ /dev/null @@ -1,117 +0,0 @@ -import http -import logging -import sys -from copy import copy -from typing import Literal, Optional - -import click - -TRACE_LOG_LEVEL = 5 - - -class ColourizedFormatter(logging.Formatter): - """ - A custom log formatter class that: - - * Outputs the LOG_LEVEL with an appropriate color. - * If a log call includes an `extras={"color_message": ...}` it will be used - for formatting the output, instead of the plain text message. - """ - - level_name_colors = { - TRACE_LOG_LEVEL: lambda level_name: click.style(str(level_name), fg="blue"), - logging.DEBUG: lambda level_name: click.style(str(level_name), fg="cyan"), - logging.INFO: lambda level_name: click.style(str(level_name), fg="green"), - logging.WARNING: lambda level_name: click.style(str(level_name), fg="yellow"), - logging.ERROR: lambda level_name: click.style(str(level_name), fg="red"), - logging.CRITICAL: lambda level_name: click.style( - str(level_name), fg="bright_red" - ), - } - - def __init__( - self, - fmt: Optional[str] = None, - datefmt: Optional[str] = None, - style: Literal["%", "{", "$"] = "%", - use_colors: Optional[bool] = None, - ): - if use_colors in (True, False): - self.use_colors = use_colors - else: - self.use_colors = sys.stdout.isatty() - super().__init__(fmt=fmt, datefmt=datefmt, style=style) - - def color_level_name(self, level_name: str, level_no: int) -> str: - def default(level_name: str) -> str: - return str(level_name) # pragma: no cover - - func = self.level_name_colors.get(level_no, default) - return func(level_name) - - def should_use_colors(self) -> bool: - return True # pragma: no cover - - def formatMessage(self, record: logging.LogRecord) -> str: - recordcopy = copy(record) - levelname = recordcopy.levelname - seperator = " " * (8 - len(recordcopy.levelname)) - if self.use_colors: - levelname = self.color_level_name(levelname, recordcopy.levelno) - if "color_message" in recordcopy.__dict__: - recordcopy.msg = recordcopy.__dict__["color_message"] - recordcopy.__dict__["message"] = recordcopy.getMessage() - recordcopy.__dict__["levelprefix"] = levelname + ":" + seperator - return super().formatMessage(recordcopy) - - -class DefaultFormatter(ColourizedFormatter): - def should_use_colors(self) -> bool: - return sys.stderr.isatty() # pragma: no cover - - -class AccessFormatter(ColourizedFormatter): - status_code_colours = { - 1: lambda code: click.style(str(code), fg="bright_white"), - 2: lambda code: click.style(str(code), fg="green"), - 3: lambda code: click.style(str(code), fg="yellow"), - 4: lambda code: click.style(str(code), fg="red"), - 5: lambda code: click.style(str(code), fg="bright_red"), - } - - def get_status_code(self, status_code: int) -> str: - try: - status_phrase = http.HTTPStatus(status_code).phrase - except ValueError: - status_phrase = "" - status_and_phrase = "%s %s" % (status_code, status_phrase) - if self.use_colors: - - def default(code: int) -> str: - return status_and_phrase # pragma: no cover - - func = self.status_code_colours.get(status_code // 100, default) - return func(status_and_phrase) - return status_and_phrase - - def formatMessage(self, record: logging.LogRecord) -> str: - recordcopy = copy(record) - ( - client_addr, - method, - full_path, - http_version, - status_code, - ) = recordcopy.args # type: ignore[misc] - status_code = self.get_status_code(int(status_code)) # type: ignore[arg-type] - request_line = "%s %s HTTP/%s" % (method, full_path, http_version) - if self.use_colors: - request_line = click.style(request_line, bold=True) - recordcopy.__dict__.update( - { - "client_addr": client_addr, - "request_line": request_line, - "status_code": status_code, - } - ) - return super().formatMessage(recordcopy) diff --git a/app/backend/chatbot.py b/app/backend/chatbot.py deleted file mode 100644 index 8c46cefb..00000000 --- a/app/backend/chatbot.py +++ /dev/null @@ -1,165 +0,0 @@ -import time -import os -from collections.abc import Generator -from langchain.callbacks.base import BaseCallbackHandler -from langchain.chains import RetrievalQA -from langchain.embeddings.huggingface import HuggingFaceEmbeddings -from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler -from langchain_community.llms import VLLMOpenAI -from langchain.prompts import PromptTemplate -from langchain_community.vectorstores import Milvus -from milvus_retriever_with_score_threshold import MilvusRetrieverWithScoreThreshold -from queue import Empty, Queue -from threading import Thread - - -class QueueCallback(BaseCallbackHandler): - """Callback handler for streaming LLM responses to a queue.""" - - def __init__(self, q, logger): - self.q = q - self.logger = logger - - def on_llm_new_token(self, token: str, **kwargs: any) -> None: - data = {"type": "token", "token": token} - self.q.put(data) - - def on_llm_end(self, *args, **kwargs: any) -> None: - return self.q.empty() - - -class Chatbot: - def __init__(self, config, logger): - os.environ["TOKENIZERS_PARALLELISM"] = "false" - self.logger = logger - self.config = config - - self.model_kwargs = {"trust_remote_code": True} - self.embeddings = HuggingFaceEmbeddings( - model_name="nomic-ai/nomic-embed-text-v1", - model_kwargs=self.model_kwargs, - show_progress=False, - ) - - self.rag_template = """[INST] <> - You are a helpful, respectful and honest assistant named "Parasol Assistant". - You will be given a claim summary, references to provide you with information, and a question. You must answer the question based as much as possible on this claim with the help of the references. - Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. - - If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information. - <> - - Claim Summary: - {claim} - - References: - {{context}} - - Question: {{question}} [/INST]""" - - self.rag_template_no_summary = """[INST] <> - You are a helpful, respectful and honest assistant named "Parasol Assistant". - You will be given a context to provide you with information, and a question. You must answer the question based as much as possible on this context. Please don't mention you are using a context in your response. - Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. - - If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information. - <> - - Context: - {context} - - Question: {question} [/INST]""" - - - def format_sources(self, input_list): - sources = "" - if len(input_list) != 0: - sources += input_list[0].metadata["source"] + ', page: ' + str(input_list[0].metadata["page"]) - page_list = [input_list[0].metadata["page"]] - for item in input_list: - if item.metadata["page"] not in page_list: # Avoid duplicates - page_list.append(item.metadata["page"]) - sources += ', ' + str(item.metadata["page"]) - return sources - - def stream(self, query, claim) -> Generator: - # A Queue is needed for Streaming implementation - q = Queue() - job_done = object() - - llm = VLLMOpenAI( - openai_api_key="EMPTY", - openai_api_base=self.config["INFERENCE_SERVER_URL"], - model_name=self.config["MODEL_NAME"], - max_tokens=int(self.config["MAX_TOKENS"]), - top_p=float(self.config["TOP_P"]), - temperature=float(self.config["TEMPERATURE"]), - presence_penalty=float(self.config["PRESENCE_PENALTY"]), - streaming=True, - verbose=False, - callbacks=[QueueCallback(q, self.logger)], - ) - - """ conversation_chain = ConversationChain( - llm=llm, - prompt=self.PROMPT, - verbose=True - ) """ - - retriever = MilvusRetrieverWithScoreThreshold( - embedding_function=self.embeddings, - collection_name=self.config["MILVUS_COLLECTION"], - collection_description="", - collection_properties=None, - connection_args={ - "host": self.config.get("MILVUS_HOST", "default_host"), - "port": self.config.get("MILVUS_PORT", "default_port"), - "user": self.config.get("MILVUS_USERNAME", "default_username"), - "password": self.config.get("MILVUS_PASSWORD", "default_password"), - }, - consistency_level="Session", - search_params=None, - k=int(self.config.get("MAX_RETRIEVED_DOCS", 4)), - score_threshold=float(self.config.get("SCORE_THRESHOLD", 0.99)), - metadata_field="metadata", - text_field="page_content", - ) - - # Inject claim summary into the prompt - if claim != "": - prompt_template = self.rag_template.format(claim=claim) - else: - prompt_template = self.rag_template_no_summary - prompt = PromptTemplate.from_template(prompt_template) - - # Instantiate RAG chain - rag_chain = RetrievalQA.from_chain_type( - llm, - retriever=retriever, - chain_type_kwargs={"prompt": prompt}, - return_source_documents=True, - ) - - # Create a function to call - this will run in a thread - def task(): - resp = rag_chain.invoke({"query": query, "claim": claim}) - sources = self.format_sources(resp['source_documents']) - if len(sources) != 0: - data = {"type": "source", "source": sources} - q.put(data) - q.put(job_done) - - # Create a thread and start the function - t = Thread(target=task) - t.start() - - # Get each new item from the queue and yield for our generator - while True: - try: - next_item = q.get(True, timeout=1) - if next_item is job_done: - break - if isinstance(next_item, dict): - yield next_item - except Empty: - continue diff --git a/app/backend/data_classes.py b/app/backend/data_classes.py deleted file mode 100644 index 02135892..00000000 --- a/app/backend/data_classes.py +++ /dev/null @@ -1,91 +0,0 @@ -from pydantic import BaseModel -from typing import List, Optional - -# Data classes -class ClaimImage(BaseModel): - """Image related to a claim""" - image_name: str = "" - image_key: str = "" - -class ClaimBaseInfo(BaseModel): - """Basic information about a claim""" - id: int = "" - claim_number: Optional[str] = "" - category: Optional[str] = "" - policy_number: Optional[str] = "" - client_name: Optional[str] = "" - subject: str = "" - summary: Optional[str] = "" - - model_config = { - "json_schema_extra": { - "examples": [ - { - "id": 1, - "subject": "Claim for Recent Car Accident - Policy Number: ABC12345", - "summary": "I was driving on the highway when a car hit me from behind. I was not injured but my car was damaged.", - } - ] - } - } - -class ClaimCreationInfo(BaseModel): - """Basic information needed to create a claim""" - id: int = "" - subject: str = "" - body: str = "" - - model_config = { - "json_schema_extra": { - "examples": [ - { - "id": 1, - "subject": "Claim for Recent Car Accident - Policy Number: ABC12345", - "summary": "I was driving on the highway when a car hit me from behind. I was not injured but my car was damaged.", - } - ] - } - } - -class ClaimFullInfo(BaseModel): - """All information about a claim""" - id: int = "" - claim_number: str = "" - category: str = "" - policy_number: str = "" - client_name: str = "" - subject: str = "" - body: str = "" - summary: Optional[str] = "" - sentiment: Optional[str] = "" - location: Optional[str]= "" - time: Optional[str] = "" - original_images: Optional[List[ClaimImage]] = [] - processed_images: Optional[List[ClaimImage]] = [] - - model_config = { - "json_schema_extra": { - "examples": [ - { - "id": 1, - "subject": "Claim for Recent Car Accident - Policy Number: ABC12345", - "body": "

Dear XYZ Insurance Company,

...", - "sentiment": "positive", - "location": "New York, NY", - "time": "2020-10-10 10:10:10", - "original_images": [ - { - "image_name": "car1.png", - "image_key": "original-images/car1.png" - } - ], - "processed_images": [ - { - "image_name": "car1.png", - "image_key": "processed-images/new_car1.png" - } - ] - } - ] - } - } \ No newline at end of file diff --git a/app/backend/db_utils.py b/app/backend/db_utils.py deleted file mode 100644 index ce6eed9f..00000000 --- a/app/backend/db_utils.py +++ /dev/null @@ -1,458 +0,0 @@ -import psycopg2 -from psycopg2.extras import RealDictCursor -import sys -import logging - -class Database: - def __init__(self, config, logger): - self.logger = logger - self.conn = self.connect(config) - - def connect(self, config): - """ - Connect to the PostgreSQL database using the provided configuration and return the connection object. - - Args: - config (dict): A dictionary containing the configuration parameters for the database connection. - - Returns: - conn (psycopg2.extensions.connection): A connection object representing the database connection. - """ - self.logger.info(f"Connecting to PostgreSQL Database...") - try: - conn = psycopg2.connect( - host = config["POSTGRES_HOST"], - dbname = config["POSTGRES_DB"], - user = config["POSTGRES_USER"], - password = config["POSTGRES_PASSWORD"], - port = config["POSTGRES_PORT"] - ) - self.logger.info(f"Connection successful!") - except psycopg2.OperationalError as e: - self.logger.info(f"Could not connect to Database: {e}") - - return conn - - def list_tables(self): - """ - Returns a list of table names in the 'claims' schema of the database. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - cur.execute("SELECT tablename from pg_catalog.pg_tables WHERE schemaname='claims';") - result = cur.fetchall() - self.conn.commit() - return result - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def list_claims(self): - """ - Returns a list of all claims in the database. - - Returns: - list: A list of dictionaries representing each claim, with keys 'id' and 'subject'. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - SELECT claims.id, claims.claim_number, claims.category, claims.policy_number, claims.client_name, claims.subject, claims.summary - FROM claims - ORDER BY claims.id - """ - cur.execute(query) - result = cur.fetchall() - self.conn.commit() - return result - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def list_claims_unprocessed(self): - """ - Returns a list of all claims in the database that have an empty summary. - - Returns: - list: A list of dictionaries representing each claim, with keys 'id' and 'subject'. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - SELECT claims.id, claims.subject - FROM claims - WHERE claims.summary IS NULL OR claims.summary = '' - """ - cur.execute(query) - result = cur.fetchall() - self.conn.commit() - return result - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def get_claim_base_info(self, claim_id): - """ - Retrieves base information about a claim from the database. - - Args: - claim_id (int): The ID of the claim to retrieve. - - Returns: - dict: A dictionary containing information about the claim, including its ID, subject, and summary. - - Example: - { - "id": 1, - "subject": "Car accident", - "summary": "I was involved in a car accident on the highway.", - } - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - SELECT claims.id, claims.subject, claims.summary - FROM claims WHERE claims.id = %s; - """ - cur.execute(query, (claim_id,)) - result = cur.fetchone() - self.conn.commit() - return result - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def get_claim_info(self, claim_id): - """ - Retrieves information about a claim from the database. - - Args: - claim_id (int): The ID of the claim to retrieve. - - Returns: - dict: A dictionary containing information about the claim, including its ID, subject, body, sentiment, and images. - - Example: - { - "id": 1, - "subject": "Car accident", - "body": "I was involved in a car accident on the highway.", - "sentiment": "positive", - "location": "New York", - "time": "2020-10-10 10:10:10", - "original_images": [ - {"image_name": "image1.jpg", "image_key": "key1"}, - {"image_name": "image2.jpg", "image_key": "key2"} - ], - "processed_images": [ - {"image_name": "image1.png", "image_key": "key1"}, - {"image_name": "image2.png", "image_key": "key2"} - ] - } - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - SELECT claims.id, claims.claim_number, claims.category, claims.policy_number, claims.client_name, claims.subject, claims.body, claims.sentiment, claims.summary, claims.location, claims.time, - (SELECT json_agg( - json_build_object('image_name',original_images.image_name,'image_key',original_images.image_key)) AS original_images - FROM original_images WHERE claim_id = claims.id - ), - (SELECT json_agg( - json_build_object('image_name',processed_images.image_name,'image_key',processed_images.image_key)) AS processed_images - FROM processed_images WHERE claim_id = claims.id - ) - FROM claims WHERE claims.id = %s; - """ - cur.execute(query, (claim_id,)) - result = cur.fetchone() - self.conn.commit() - return result - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def create_claim(self, subject, body): - """ - Creates a new claim in the database. - - Args: - subject (str): The subject of the claim. - body (str): The body of the claim. - - Returns: - int: The ID of the claim that was created. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - INSERT INTO claims (subject, body) VALUES (%s, %s) RETURNING id; - """ - cur.execute(query, (subject, body)) - result = cur.fetchone() - self.conn.commit() - return result["id"] - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def update_claim_summary(self, claim_id, summary): - """ - Updates the summary of a claim in the database. - - Args: - claim_id (int): The ID of the claim to update. - summary (str): The summary to update the claim with. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - UPDATE claims SET summary = %s WHERE id = %s; - """ - cur.execute(query, (summary, claim_id)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def update_claim_location(self, claim_id, location): - """ - Updates the location of a claim in the database. - - Args: - claim_id (int): The ID of the claim to update. - location (str): The location to update the claim with. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - UPDATE claims SET location = %s WHERE id = %s; - """ - cur.execute(query, (location, claim_id)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def update_claim_time(self, claim_id, time): - """ - Updates the time of a claim in the database. - - Args: - claim_id (int): The ID of the claim to update. - time (str): The time to update the claim with. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - UPDATE claims SET time = %s WHERE id = %s; - """ - cur.execute(query, (time, claim_id)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def update_claim_body(self, claim_id, body): - """ - Updates the body of a claim in the database. - - Args: - claim_id (int): The ID of the claim to update. - body (str): The body to update the claim with. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - UPDATE claims SET body = %s WHERE id = %s; - """ - cur.execute(query, (body, claim_id)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def update_claim_subject(self, claim_id, subject): - """ - Updates the subject of a claim in the database. - - Args: - claim_id (int): The ID of the claim to update. - subject (str): The subject to update the claim with. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - UPDATE claims SET subject = %s WHERE id = %s; - """ - cur.execute(query, (subject, claim_id)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def update_claim_sentiment(self, claim_id, sentiment): - """ - Updates the sentiment of a claim in the database. - - Args: - claim_id (int): The ID of the claim to update. - sentiment (str): The sentiment to update the claim with. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - UPDATE claims SET sentiment = %s WHERE id = %s; - """ - cur.execute(query, (sentiment, claim_id)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def delete_claim(self, claim_id): - """ - Deletes a claim from the database. - - Args: - claim_id (int): The ID of the claim to delete. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - DELETE FROM claims WHERE id = %s; - """ - cur.execute(query, (claim_id,)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def upload_original_image(self, claim_id, image_name, image_key): - """ - Creates a new original image in the database. - - Args: - claim_id (int): The ID of the claim the image belongs to. - image_name (str): The name of the image. - image_key (str): The key of the image. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - INSERT INTO original_images (claim_id, image_name, image_key) VALUES (%s, %s, %s); - """ - cur.execute(query, (claim_id, image_name, image_key)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def upload_processed_image(self, claim_id, image_name, image_key): - """ - Creates a new processed image in the database. - - Args: - claim_id (int): The ID of the claim the image belongs to. - image_name (str): The name of the image. - image_key (str): The key of the image. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - INSERT INTO processed_images (claim_id, image_name, image_key) VALUES (%s, %s, %s); - """ - cur.execute(query, (claim_id, image_name, image_key)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def delete_original_image(self, claim_id, image_key): - """ - Deletes an original image from the database. - - Args: - claim_id (int): The ID of the claim the image belongs to. - image_key (str): The key of the image. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - DELETE FROM original_images WHERE claim_id = %s AND image_key = %s; - """ - cur.execute(query, (claim_id, image_key)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def delete_processed_image(self, claim_id, image_key): - """ - Deletes a processed image from the database. - - Args: - claim_id (int): The ID of the claim the image belongs to. - image_key (str): The key of the image. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - DELETE FROM processed_images WHERE claim_id = %s AND image_key = %s; - """ - cur.execute(query, (claim_id, image_key)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - diff --git a/app/backend/milvus_retriever_with_score_threshold.py b/app/backend/milvus_retriever_with_score_threshold.py deleted file mode 100644 index ec43f421..00000000 --- a/app/backend/milvus_retriever_with_score_threshold.py +++ /dev/null @@ -1,72 +0,0 @@ -"""Milvus Retriever with Score Threshold""" -import warnings -from typing import Any, Dict, List, Optional - -from langchain_core.callbacks import CallbackManagerForRetrieverRun -from langchain_core.documents import Document -from langchain_core.embeddings import Embeddings -from langchain_core.pydantic_v1 import root_validator -from langchain_community.vectorstores import Milvus -from langchain_core.retrievers import BaseRetriever - -from langchain_community.vectorstores.milvus import Milvus - -class MilvusRetrieverWithScoreThreshold(BaseRetriever): - """`Milvus API` retriever.""" - - embedding_function: Embeddings - collection_name: str = "LangChainCollection" - collection_description: str = "" - collection_properties: Optional[Dict[str, Any]] = None - connection_args: Optional[Dict[str, Any]] = None - consistency_level: str = "Session" - search_params: Optional[dict] = None - k: int = 4 - score_threshold: float = 0.99 - metadata_field: str = "metadata" - text_field: str = "page_content" - - store: Milvus - retriever: BaseRetriever - - @root_validator(pre=True) - def create_retriever(cls, values: Dict) -> Dict: - """Create the Milvus store and retriever.""" - values["store"] = Milvus( - embedding_function=values["embedding_function"], - collection_name=values["collection_name"], - collection_description=values["collection_description"], - collection_properties=values["collection_properties"], - connection_args=values["connection_args"], - consistency_level=values["consistency_level"], - metadata_field="metadata", - text_field="page_content" - ) - values["retriever"] = values["store"].as_retriever( - search_kwargs={"param": values["search_params"]} - ) - return values - - def add_texts( - self, texts: List[str], metadatas: Optional[List[dict]] = None - ) -> None: - """Add text to the Milvus store - - Args: - texts (List[str]): The text - metadatas (List[dict]): Metadata dicts, must line up with existing store - """ - self.store.add_texts(texts, metadatas) - - def _get_relevant_documents( - self, - query: str, - *, - run_manager: CallbackManagerForRetrieverRun, - **kwargs: Any, - ) -> List[Document]: - docs_and_scores = self.store.similarity_search_with_score(query, k=self.k, return_metadata=True) - docs_and_scores = [(doc, score) for doc, score in docs_and_scores if score < self.score_threshold] - for doc, score in docs_and_scores: - doc.metadata = {**doc.metadata, **{"score": score}} - return [doc for (doc, _) in docs_and_scores] diff --git a/app/backend/pom.xml b/app/backend/pom.xml new file mode 100644 index 00000000..971ffead --- /dev/null +++ b/app/backend/pom.xml @@ -0,0 +1,143 @@ + + + 4.0.0 + org.parasol + insurance-app + 1.0.0-SNAPSHOT + + 3.12.1 + 17 + UTF-8 + UTF-8 + 1.5.1 + quarkus-bom + io.quarkus.platform + 3.11.0 + true + 3.2.5 + + + + + ${quarkus.platform.group-id} + ${quarkus.platform.artifact-id} + ${quarkus.platform.version} + pom + import + + + + + + io.quarkus + quarkus-arc + + + io.quarkus + quarkus-rest-jackson + + + io.quarkus + quarkus-rest-jackson + + + io.quarkiverse.langchain4j + quarkus-langchain4j-openai + 0.13.1 + + + io.quarkus + quarkus-websockets-next + + + io.quarkus + quarkus-jdbc-h2 + + + io.quarkus + quarkus-hibernate-orm-panache + + + io.quarkus + quarkus-junit5 + test + + + io.rest-assured + rest-assured + test + + + + + + ${quarkus.platform.group-id} + quarkus-maven-plugin + ${quarkus.platform.version} + true + + + + build + generate-code + generate-code-tests + + + + + + maven-compiler-plugin + ${compiler-plugin.version} + + + -parameters + + + + + maven-surefire-plugin + ${surefire-plugin.version} + + + org.jboss.logmanager.LogManager + ${maven.home} + + + + + maven-failsafe-plugin + ${surefire-plugin.version} + + + + integration-test + verify + + + + + + ${project.build.directory}/${project.build.finalName}-runner + org.jboss.logmanager.LogManager + ${maven.home} + + + + + + + + native + + + native + + + + false + native + + + + diff --git a/app/backend/public/.folder_keep b/app/backend/public/.folder_keep deleted file mode 100644 index e69de29b..00000000 diff --git a/app/backend/requirements.txt b/app/backend/requirements.txt deleted file mode 100644 index fab43b6b..00000000 --- a/app/backend/requirements.txt +++ /dev/null @@ -1,97 +0,0 @@ --i https://pypi.org/simple ---extra-index-url https://download.pytorch.org/whl/cpu -aiohttp==3.9.4; python_version >= '3.8' -aiosignal==1.3.1; python_version >= '3.7' -annotated-types==0.6.0; python_version >= '3.8' -anyio==4.3.0; python_version >= '3.8' -argon2-cffi==23.1.0; python_version >= '3.7' -argon2-cffi-bindings==21.2.0; python_version >= '3.6' -attrs==23.2.0; python_version >= '3.7' -azure-core==1.30.1; python_version >= '3.7' -azure-storage-blob==12.19.1; python_version >= '3.7' -boto3==1.34.84; python_version >= '3.8' -botocore==1.34.84; python_version >= '3.8' -certifi==2024.2.2; python_version >= '3.6' -cffi==1.16.0; platform_python_implementation != 'PyPy' -charset-normalizer==3.3.2; python_full_version >= '3.7.0' -click==8.1.7; python_version >= '3.7' -cryptography==42.0.5; python_version >= '3.7' -dataclasses-json==0.6.4; python_version >= '3.7' and python_version < '4.0' -distro==1.9.0; python_version >= '3.6' -einops==0.7.0; python_version >= '3.8' -environs==9.5.0; python_version >= '3.6' -fastapi==0.110.1; python_version >= '3.8' -filelock==3.13.4; python_version >= '3.8' -frozenlist==1.4.1; python_version >= '3.8' -fsspec==2024.3.1; python_version >= '3.8' -greenlet==3.0.3; platform_machine == 'aarch64' or (platform_machine == 'ppc64le' or (platform_machine == 'x86_64' or (platform_machine == 'amd64' or (platform_machine == 'AMD64' or (platform_machine == 'win32' or platform_machine == 'WIN32'))))) -grpcio==1.60.0; python_version >= '3.7' -h11==0.14.0; python_version >= '3.7' -httpcore==1.0.5; python_version >= '3.8' -httpx==0.27.0; python_version >= '3.8' -huggingface-hub==0.22.2; python_full_version >= '3.8.0' -idna==3.7; python_version >= '3.5' -isodate==0.6.1 -jinja2==3.1.3; python_version >= '3.7' -jmespath==1.0.1; python_version >= '3.7' -joblib==1.4.0; python_version >= '3.8' -jsonpatch==1.33; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6' -jsonpointer==2.4; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6' -langchain==0.1.15; python_version < '4.0' and python_full_version >= '3.8.1' -langchain-community==0.0.32; python_version < '4.0' and python_full_version >= '3.8.1' -langchain-core==0.1.42; python_version < '4.0' and python_full_version >= '3.8.1' -langchain-text-splitters==0.0.1; python_version < '4.0' and python_full_version >= '3.8.1' -langsmith==0.1.47; python_version < '4.0' and python_full_version >= '3.8.1' -markupsafe==2.1.5; python_version >= '3.7' -marshmallow==3.21.1; python_version >= '3.8' -minio==7.2.5 -mpmath==1.3.0 -multidict==6.0.5; python_version >= '3.7' -mypy-extensions==1.0.0; python_version >= '3.5' -networkx==3.3; python_version >= '3.10' -numpy==1.26.4; python_version >= '3.9' -openai==1.17.0; python_full_version >= '3.7.1' -orjson==3.10.0; python_version >= '3.8' -packaging==23.2; python_version >= '3.7' -pandas==2.2.2; python_version >= '3.9' -pillow==10.3.0; python_version >= '3.8' -protobuf==5.26.1; python_version >= '3.8' -psycopg2-binary==2.9.9; python_version >= '3.7' -pyarrow==15.0.2; python_version >= '3.8' -pycparser==2.22; python_version >= '3.8' -pycryptodome==3.20.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -pydantic==2.7.0; python_version >= '3.8' -pydantic-core==2.18.1; python_version >= '3.8' -pymilvus==2.4.0; python_version >= '3.8' -python-dateutil==2.9.0.post0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -python-dotenv==1.0.1; python_version >= '3.8' -python-multipart==0.0.9; python_version >= '3.8' -pytz==2024.1 -pyyaml==6.0.1; python_version >= '3.6' -regex==2023.12.25; python_version >= '3.7' -requests==2.31.0; python_version >= '3.7' -s3transfer==0.10.1; python_version >= '3.8' -safetensors==0.4.3; python_version >= '3.7' -scikit-learn==1.4.2; python_version >= '3.9' -scipy==1.13.0; python_version >= '3.9' -sentence-transformers==2.6.1; python_full_version >= '3.8.0' -setuptools==69.5.1; python_version >= '3.8' -six==1.16.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -sniffio==1.3.1; python_version >= '3.7' -sqlalchemy==2.0.29; python_version >= '3.7' -starlette==0.37.2; python_version >= '3.8' -sympy==1.12; python_version >= '3.8' -tenacity==8.2.3; python_version >= '3.7' -threadpoolctl==3.4.0; python_version >= '3.8' -tokenizers==0.15.2; python_version >= '3.7' -torch==2.2.2+cpu -tqdm==4.66.2; python_version >= '3.7' -transformers==4.39.3; python_full_version >= '3.8.0' -typing-extensions==4.11.0; python_version >= '3.8' -typing-inspect==0.9.0 -tzdata==2024.1; python_version >= '2' -ujson==5.9.0; python_version >= '3.8' -urllib3==2.2.1; python_version >= '3.10' -uvicorn==0.29.0; python_version >= '3.8' -websockets==12.0; python_version >= '3.8' -yarl==1.9.4; python_version >= '3.7' diff --git a/app/backend/src/main/java/org/parasol/ai/ClaimService.java b/app/backend/src/main/java/org/parasol/ai/ClaimService.java new file mode 100644 index 00000000..1c96a119 --- /dev/null +++ b/app/backend/src/main/java/org/parasol/ai/ClaimService.java @@ -0,0 +1,30 @@ +package org.parasol.ai; + +import org.parasol.model.ClaimBotQuery; +import org.parasol.model.ClaimBotQueryResponse; + +import dev.langchain4j.service.SystemMessage; +import dev.langchain4j.service.UserMessage; +import io.quarkiverse.langchain4j.RegisterAiService; +import io.smallrye.mutiny.Multi; +import jakarta.enterprise.context.SessionScoped; + +@RegisterAiService +@SessionScoped +public interface ClaimService { + @SystemMessage(""" + You are a helpful, respectful and honest assistant named "Parasol Assistant". + You will be given a claim summary, references to provide you with information, and a question. You must answer the question based as much as possible on this claim with the help of the references. + Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. + + If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information. + """ + ) + @UserMessage(""" + Claim Summary: + {{claim}} + + Question: {{query}} + """) + Multi chat(String claim, String query); +} diff --git a/app/backend/src/main/java/org/parasol/model/Claim.java b/app/backend/src/main/java/org/parasol/model/Claim.java new file mode 100644 index 00000000..460a3d4b --- /dev/null +++ b/app/backend/src/main/java/org/parasol/model/Claim.java @@ -0,0 +1,25 @@ +package org.parasol.model; + +import io.quarkus.hibernate.orm.panache.PanacheEntity; +import jakarta.persistence.Column; +import jakarta.persistence.Entity; + +@Entity +public class Claim extends PanacheEntity { + + public String claim_number; + public String category; + public String policy_number; + public String client_name; + public String subject; + @Column(length = 5000) + public String body; + @Column(length = 5000) + public String summary; + public String location; + @Column(name = "claim_time") + public String time; + @Column(length = 5000) + public String sentiment; + +} diff --git a/app/backend/src/main/java/org/parasol/model/ClaimBotQuery.java b/app/backend/src/main/java/org/parasol/model/ClaimBotQuery.java new file mode 100644 index 00000000..5dd020fd --- /dev/null +++ b/app/backend/src/main/java/org/parasol/model/ClaimBotQuery.java @@ -0,0 +1,11 @@ +package org.parasol.model; + +import com.fasterxml.jackson.annotation.JsonCreator; + +public record ClaimBotQuery(String claim, String query) { + + @JsonCreator + public ClaimBotQuery { + } + +} diff --git a/app/backend/src/main/java/org/parasol/model/ClaimBotQueryResponse.java b/app/backend/src/main/java/org/parasol/model/ClaimBotQueryResponse.java new file mode 100644 index 00000000..8a8a278a --- /dev/null +++ b/app/backend/src/main/java/org/parasol/model/ClaimBotQueryResponse.java @@ -0,0 +1,11 @@ +package org.parasol.model; + +import com.fasterxml.jackson.annotation.JsonCreator; + +public record ClaimBotQueryResponse(String type, String token, String source) { + + @JsonCreator + public ClaimBotQueryResponse { + } + +} diff --git a/app/backend/src/main/java/org/parasol/resources/ClaimResource.java b/app/backend/src/main/java/org/parasol/resources/ClaimResource.java new file mode 100644 index 00000000..e00256d4 --- /dev/null +++ b/app/backend/src/main/java/org/parasol/resources/ClaimResource.java @@ -0,0 +1,27 @@ +package org.parasol.resources; + +import java.util.List; + +import org.parasol.model.Claim; + +import jakarta.ws.rs.GET; +import jakarta.ws.rs.Path; +import jakarta.ws.rs.PathParam; +import jakarta.ws.rs.Produces; +import jakarta.ws.rs.core.MediaType; + +@Produces(MediaType.APPLICATION_JSON) +@Path("/api/db/claims") +public class ClaimResource { + + @GET + public List getall() { + return Claim.listAll(); + } + + @GET + @Path("/{id}") + public Claim getone(@PathParam("id") int id) { + return Claim.findById(id); + } +} diff --git a/app/backend/src/main/java/org/parasol/resources/ClaimWebsocketChatBot.java b/app/backend/src/main/java/org/parasol/resources/ClaimWebsocketChatBot.java new file mode 100644 index 00000000..77a6b1bb --- /dev/null +++ b/app/backend/src/main/java/org/parasol/resources/ClaimWebsocketChatBot.java @@ -0,0 +1,32 @@ +package org.parasol.resources; + +import org.parasol.ai.ClaimService; +import org.parasol.model.ClaimBotQuery; +import org.parasol.model.ClaimBotQueryResponse; + +import io.quarkus.websockets.next.OnOpen; +import io.quarkus.websockets.next.OnTextMessage; +import io.quarkus.websockets.next.WebSocket; +import io.smallrye.mutiny.Multi; + +@WebSocket(path = "/ws/query") +public class ClaimWebsocketChatBot { + private final ClaimService bot; + + public ClaimWebsocketChatBot(ClaimService bot) { + this.bot = bot; + } + + @OnOpen + public void onOpen() { + System.out.println("Websocket opened"); + } + @OnTextMessage + public Multi onMessage(ClaimBotQuery query) { + return bot.chat(query.claim(), query.query()).map(resp -> { + return new ClaimBotQueryResponse("token", resp, ""); + }); + } +} + + diff --git a/app/backend/src/main/java/org/parasol/resources/GreetingResource.java b/app/backend/src/main/java/org/parasol/resources/GreetingResource.java new file mode 100644 index 00000000..992cbcd4 --- /dev/null +++ b/app/backend/src/main/java/org/parasol/resources/GreetingResource.java @@ -0,0 +1,16 @@ +package org.parasol.resources; + +import jakarta.ws.rs.GET; +import jakarta.ws.rs.Path; +import jakarta.ws.rs.Produces; +import jakarta.ws.rs.core.MediaType; + +@Path("/hello") +public class GreetingResource { + + @GET + @Produces(MediaType.TEXT_PLAIN) + public String hello() { + return "Hello from Quarkus REST"; + } +} diff --git a/app/backend/src/main/resources/application.properties b/app/backend/src/main/resources/application.properties new file mode 100644 index 00000000..944aea1d --- /dev/null +++ b/app/backend/src/main/resources/application.properties @@ -0,0 +1,22 @@ +# RAG +# quarkus.langchain4j.easy-rag.path=src/main/resources/catalog + +# OpenAI +quarkus.langchain4j.openai.chat-model.temperature=0.3 +quarkus.langchain4j.openai.timeout=600s +quarkus.langchain4j.openai.chat-model.model-name=merlinite-7b-lab-Q4_K_M +quarkus.langchain4j.openai.chat-model.response-format=json_object +quarkus.langchain4j.openai.base-url=http://localhost:8000/v1 +quarkus.langchain4j.openai.log-requests=true +quarkus.langchain4j.openai.log-responses=true + +# Ollama +# quarkus.langchain4j.ollama.timeout=600s +# quarkus.langchain4j.ollama.base-url=http://127.0.0.1:11434 +# quarkus.langchain4j.ollama.log-requests=true +# quarkus.langchain4j.ollama.log-responses=true +# quarkus.langchain4j.ollama.model-id=llama3 +# quarkus.langchain4j.ollama.chat-model.temperature=0.3 +quarkus.http.port=5000 +quarkus.http.cors=true +%dev.quarkus.http.cors.origins=/.*/ diff --git a/bootstrap/ic-shared-database/sql-script-configmap.yaml b/app/backend/src/main/resources/import.sql similarity index 72% rename from bootstrap/ic-shared-database/sql-script-configmap.yaml rename to app/backend/src/main/resources/import.sql index 47ddfbde..46c498aa 100644 --- a/bootstrap/ic-shared-database/sql-script-configmap.yaml +++ b/app/backend/src/main/resources/import.sql @@ -1,132 +1,7 @@ -apiVersion: v1 -kind: ConfigMap -metadata: - name: sql-script-configmap - annotations: - argocd.argoproj.io/sync-wave: "1" -data: - script.sql: | - CREATE SCHEMA IF NOT EXISTS claims - AUTHORIZATION claimdb; - - DROP TABLE IF EXISTS claims.claims CASCADE; - DROP TABLE IF EXISTS claims.original_images CASCADE; - DROP TABLE IF EXISTS claims.processed_images CASCADE; - DROP SEQUENCE IF EXISTS claims.claims_id_seq CASCADE; - DROP SEQUENCE IF EXISTS claims.original_images_id_seq CASCADE; - DROP SEQUENCE IF EXISTS claims.processed_images_id_seq CASCADE; - - -- SEQUENCE: claims.claims_id_seq - - CREATE SEQUENCE IF NOT EXISTS claims.claims_id_seq - INCREMENT 1 - START 1 - MINVALUE 1 - MAXVALUE 2147483647 - CACHE 1; - - -- Table: claims.claims - - CREATE TABLE IF NOT EXISTS claims.claims - ( - id integer NOT NULL DEFAULT nextval('claims.claims_id_seq'::regclass), - claim_number text COLLATE pg_catalog."default", - category text COLLATE pg_catalog."default", - policy_number text COLLATE pg_catalog."default", - client_name text COLLATE pg_catalog."default", - subject text COLLATE pg_catalog."default", - body text COLLATE pg_catalog."default", - summary text COLLATE pg_catalog."default", - location text COLLATE pg_catalog."default", - "time" text COLLATE pg_catalog."default", - sentiment text COLLATE pg_catalog."default", - CONSTRAINT claims_pkey PRIMARY KEY (id) - ) - WITH ( - OIDS = FALSE - ) - TABLESPACE pg_default; - - -- Link Table to Sequence - - ALTER SEQUENCE claims.claims_id_seq - OWNED BY claims.claims.id; - - -- SEQUENCE: claims.original_images_id_seq - - CREATE SEQUENCE IF NOT EXISTS claims.original_images_id_seq - INCREMENT 1 - START 1 - MINVALUE 1 - MAXVALUE 2147483647 - CACHE 1; - - -- Table: claims.original_images - - CREATE TABLE IF NOT EXISTS claims.original_images - ( - id integer NOT NULL DEFAULT nextval('claims.original_images_id_seq'::regclass), - image_name text COLLATE pg_catalog."default" NOT NULL, - image_key text COLLATE pg_catalog."default" NOT NULL, - claim_id integer NOT NULL, - CONSTRAINT original_images_pkey PRIMARY KEY (id), - CONSTRAINT fk_claim_id FOREIGN KEY (claim_id) - REFERENCES claims.claims (id) MATCH SIMPLE - ON UPDATE CASCADE - ON DELETE CASCADE - ) - WITH ( - OIDS = FALSE - ) - TABLESPACE pg_default; - - -- Link Table to Sequence - - ALTER SEQUENCE claims.original_images_id_seq - OWNED BY claims.original_images.id; - - -- SEQUENCE: claims.processed_images_id_seq - - CREATE SEQUENCE IF NOT EXISTS claims.processed_images_id_seq - INCREMENT 1 - START 1 - MINVALUE 1 - MAXVALUE 2147483647 - CACHE 1; - - -- Table: claims.processed_images - - CREATE TABLE IF NOT EXISTS claims.processed_images - ( - id integer NOT NULL DEFAULT nextval('claims.processed_images_id_seq'::regclass), - image_name text COLLATE pg_catalog."default" NOT NULL, - image_key text COLLATE pg_catalog."default" NOT NULL, - claim_id integer NOT NULL, - CONSTRAINT processed_images_pkey PRIMARY KEY (id), - CONSTRAINT fk_claim_id FOREIGN KEY (claim_id) - REFERENCES claims.claims (id) MATCH SIMPLE - ON UPDATE CASCADE - ON DELETE CASCADE - ) - WITH ( - OIDS = FALSE - ) - TABLESPACE pg_default; - - -- Link Table to Sequence - - ALTER SEQUENCE claims.processed_images_id_seq - OWNED BY claims.processed_images.id; - - ----- - -- INSERTS - ----- - -- CLAIM1 - - INSERT INTO claims.claims (claim_number, category, policy_number, client_name, subject, body, summary, location, time, sentiment) - VALUES ('CLM202401', 'Multiple vehicle', 'AC-987654321', 'Sarah Turner','Claim for Recent Car Accident - Policy Number: AC-987654321', ' +INSERT INTO claim(id, claim_number,category,policy_number,client_name,subject, body, summary, location, claim_time, sentiment) + VALUES (1, 'CLM202401', 'Multiple vehicle', 'AC-987654321', 'Sarah Turner','Claim for Recent Car Accident - Policy Number: AC-987654321', ' Dear Parasol Insurance, - + I hope this email finds you well. My name is Sarah Turner, and I am writing to file a claim for a recent car accident that occurred on January 2nd, 2024, at approximately 3:30 PM. My policy number is AC-987654321. The accident took place at the intersection of Birch Street and Willow Avenue in the city of Evergreen. I was driving my vehicle, a black Toyota Camry with license plate number DEF-456, heading south on Birch Street. At the intersection, the traffic signal was green, and I proceeded through the intersection. @@ -163,10 +38,8 @@ data: 'The sender, Sarah Turner, expresses a polite and professional tone in her email. She is respectful and detailed in her description of the car accident and the subsequent steps she took to file a claim. She requests prompt attention to the matter and provides all necessary documentation. Overall, her sentiment is one of being proactive and cooperative in the claims process.' ); - -- CLAIM2 - - INSERT INTO claims.claims (claim_number, category, policy_number, client_name, subject, body, summary, location, time, sentiment) - VALUES ('CLM202402', 'Multiple vehicle', 'PT-567890', 'John T. Anderson','Urgent: Unacceptable Delay and Lack of Communication Regarding Claim #XYZ789', ' +INSERT INTO claim(id, claim_number,category,policy_number,client_name,subject, body, summary, location, claim_time, sentiment) + VALUES (2, 'CLM202402', 'Multiple vehicle', 'PT-567890', 'John T. Anderson','Urgent: Unacceptable Delay and Lack of Communication Regarding Claim #XYZ789', ' Dear Parasol Insurances, I am writing to express my extreme dissatisfaction with the appalling service I have received concerning my recent claim, reference number #XYZ789. The lack of communication and delayed response from your company is utterly unacceptable, and I demand immediate attention to rectify this matter. @@ -196,11 +69,8 @@ data: 'January 15, 2024, at approximately 3:45 PM', 'The sender of this claim is expressing extreme dissatisfaction with the handling of their insurance claim by Parasol Insurances. They are frustrated with the lack of communication and the significant delay in processing their claim. The tone of the message is demanding and assertive, with the sender threatening to escalate the matter if their concerns are not addressed promptly.' ); - - -- CLAIM3 - - INSERT INTO claims.claims (claim_number, category, policy_number, client_name, subject, body, summary, location, time, sentiment) - VALUES ('CLM502803', 'Multiple vehicle', 'AC-987654', 'Jane Doe','Urgent: Car Accident Claim Assistance Needed', ' +INSERT INTO claim(id, claim_number,category,policy_number,client_name,subject, body, summary, location, claim_time, sentiment) + VALUES (3, 'CLM502803', 'Multiple vehicle', 'AC-987654', 'Jane Doe','Urgent: Car Accident Claim Assistance Needed', ' Dear Parasol Inc., I hope this email finds you well. I''m writing to, uh, inform you about, well, something that happened recently. It''s, um, about a car accident, and I''m not really sure how to, you know, go about all this. I''m kinda anxious and confused, to be honest. @@ -230,10 +100,8 @@ data: '' ); - -- CLAIM4 - - INSERT INTO claims.claims (claim_number, category, policy_number, client_name, subject, body, summary, location, time, sentiment) - VALUES ('CLM202415', 'Single vehicle', 'BK-5165426', 'Dominic Toretto','Claim for Car Accident - Policy #: BK-5165426', ' +INSERT INTO claim(id, claim_number,category,policy_number,client_name,subject, body, summary, location, claim_time, sentiment) + VALUES (4, 'CLM202415', 'Single vehicle', 'BK-5165426', 'Dominic Toretto','Claim for Car Accident - Policy #: BK-5165426', ' Dear Parasol Insurance Team, I hope this email finds you well. I''m reaching out to file a claim regarding a recent incident involving my car, which is covered under my policy with Parasol. The accident occurred last night on the streets of Los Angeles, and I wanted to provide you with all the necessary details. @@ -265,10 +133,8 @@ data: 'The person sending the claim, identified as Dominic Toretto, expresses a positive sentiment towards Parasol Insurance and his expectation of them handling his claim efficiently. However, the tone of the email is also boastful and exaggerated, describing an unlikely series of events involving a car accident and a high-speed chase. Despite the unconventional circumstances, Dominic expresses confidence in Parasol''s ability to help him get his car repaired.' ); - -- CLAIM5 - - INSERT INTO claims.claims (claim_number, category, policy_number, client_name, subject, body, summary, location, time, sentiment) - VALUES ('CLM52125', 'Multiple vehicle', 'AC-418324', 'Saul Goodman', 'Where is My Money? Urgent Attention Needed for My Car Accident Claim', ' +INSERT INTO claim(id, claim_number,category,policy_number,client_name,subject, body, summary, location, claim_time, sentiment) + VALUES (5, 'CLM52125', 'Multiple vehicle', 'AC-418324', 'Saul Goodman', 'Where is My Money? Urgent Attention Needed for My Car Accident Claim', ' Dear Stoneheart Insurance Claims Department, I am absolutely *thrilled* (read: infuriated) to be writing yet another heartfelt missive to the void that is your customer service. My recent car accident claim has vanished into the ether, much like my patience and the professionalism I expected from your company. How about we resolve this before the next ice age? @@ -293,8 +159,8 @@ data: 'The sentiment of the person sending this claim is one of frustration and urgency. They are expressing dissatisfaction with the delay in processing their car accident claim and threatening further action if it is not resolved promptly.' ); - INSERT INTO claims.claims (claim_number, category, policy_number, client_name, subject, body, summary, location, time, sentiment) - VALUES ('CLM605208', 'Multiple vehicle', 'AC-768901', 'Tyrion Lannister', 'Urgent Claim Review Required: Collision in King''s Landing', ' +INSERT INTO claim(id, claim_number,category,policy_number,client_name,subject, body, summary, location, claim_time, sentiment) + VALUES (6, 'CLM605208', 'Multiple vehicle', 'AC-768901', 'Tyrion Lannister', 'Urgent Claim Review Required: Collision in King''s Landing', ' Dear Westeros Insurance Claims Department, This correspondence is from Tyrion Lannister, currently not in a tavern but rather dealing with the aftermath of an unpleasant vehicular incident. As a man known for resolving conflicts, I find myself ironically embroiled in one that requires your immediate attention. @@ -319,19 +185,7 @@ data: '' ); - -- IMAGES - INSERT INTO claims.original_images (image_name, image_key, claim_id) VALUES ('car0.jpg', 'original_images/car0.jpg', 1); - INSERT INTO claims.original_images (image_name, image_key, claim_id) VALUES ('car1.jpg', 'original_images/car1.jpg', 1); - INSERT INTO claims.original_images (image_name, image_key, claim_id) VALUES ('car2.jpg', 'original_images/car2.jpg', 2); - INSERT INTO claims.original_images (image_name, image_key, claim_id) VALUES ('car3.jpg', 'original_images/car3.jpg', 3); - INSERT INTO claims.original_images (image_name, image_key, claim_id) VALUES ('car5.jpg', 'original_images/car5.jpg', 3); - INSERT INTO claims.original_images (image_name, image_key, claim_id) VALUES ('car6.jpg', 'original_images/car6.jpg', 3); - INSERT INTO claims.processed_images (image_name, image_key, claim_id) VALUES ('car0-processed.jpg', 'processed_images/car0-processed.jpg', 1); - INSERT INTO claims.processed_images (image_name, image_key, claim_id) VALUES ('car1-processed.jpg', 'processed_images/car1-processed.jpg', 1); - INSERT INTO claims.processed_images (image_name, image_key, claim_id) VALUES ('car2-processed.jpg', 'processed_images/car2-processed.jpg', 2); - INSERT INTO claims.processed_images (image_name, image_key, claim_id) VALUES ('car3-processed.jpg', 'processed_images/car3-processed.jpg', 3); - INSERT INTO claims.processed_images (image_name, image_key, claim_id) VALUES ('car5-processed.jpg', 'processed_images/car5-processed.jpg', 3); - INSERT INTO claims.processed_images (image_name, image_key, claim_id) VALUES ('car6-processed.jpg', 'processed_images/car6-processed.jpg', 3); +ALTER SEQUENCE claim_seq RESTART WITH 7; \ No newline at end of file diff --git a/app/backend/startdev.sh b/app/backend/startdev.sh index 3709f5b8..8b889bdd 100755 --- a/app/backend/startdev.sh +++ b/app/backend/startdev.sh @@ -1,2 +1,2 @@ #!/bin/bash -watchmedo auto-restart --pattern "*.py" --recursive --signal SIGTERM python app.py \ No newline at end of file +watchmedo auto-restart --pattern "*.py" --recursive --signal SIGTERM quarkus dev \ No newline at end of file diff --git a/app/claim-images/policy.json b/app/claim-images/policy.json deleted file mode 100644 index b484c041..00000000 --- a/app/claim-images/policy.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "Version": "2012-10-17", - "Statement": [ - { - "Effect": "Allow", - "Action": [ - "s3:*" - ], - "Resource": [ - "arn:aws:s3:::claim-images", - "arn:aws:s3:::claim-images/*" - ] - } - ] -} \ No newline at end of file diff --git a/app/claimdb/01-claimdb_creation.sql b/app/claimdb/01-claimdb_creation.sql deleted file mode 100644 index 00454109..00000000 --- a/app/claimdb/01-claimdb_creation.sql +++ /dev/null @@ -1,13 +0,0 @@ --- Database: claimdb - --- DROP DATABASE IF EXISTS claimdb; - -CREATE DATABASE claimdb - WITH - OWNER = claimdb - ENCODING = 'UTF8' - LC_COLLATE = 'en_US.utf8' - LC_CTYPE = 'en_US.utf8' - TABLESPACE = pg_default - CONNECTION LIMIT = -1 - IS_TEMPLATE = False; \ No newline at end of file diff --git a/app/claimdb/02-claims_schema_creation.sql b/app/claimdb/02-claims_schema_creation.sql deleted file mode 100644 index 05ecf244..00000000 --- a/app/claimdb/02-claims_schema_creation.sql +++ /dev/null @@ -1,6 +0,0 @@ --- SCHEMA: claims - --- DROP SCHEMA IF EXISTS claims ; - -CREATE SCHEMA IF NOT EXISTS claims - AUTHORIZATION claimdb; \ No newline at end of file diff --git a/app/claimdb/03-claims_table_creation.sql b/app/claimdb/03-claims_table_creation.sql deleted file mode 100644 index a755fa74..00000000 --- a/app/claimdb/03-claims_table_creation.sql +++ /dev/null @@ -1,40 +0,0 @@ --- Table: claims.claims - --- DROP TABLE and SEQUENCE (with CASCADE) - --- DROP TABLE IF EXISTS claims.claims CASCADE; - --- SEQUENCE: claims.claims_id_seq - -CREATE SEQUENCE IF NOT EXISTS claims.claims_id_seq - INCREMENT 1 - START 1 - MINVALUE 1 - MAXVALUE 2147483647 - CACHE 1; - - - OWNED BY claims.id; - --- Table: claims.claims - -CREATE TABLE IF NOT EXISTS claims.claims -( - id integer NOT NULL DEFAULT nextval('claims.claims_id_seq'::regclass), - subject text COLLATE pg_catalog."default", - body text COLLATE pg_catalog."default", - summary text COLLATE pg_catalog."default", - location text COLLATE pg_catalog."default", - "time" text COLLATE pg_catalog."default", - sentiment text COLLATE pg_catalog."default", - CONSTRAINT claims_pkey PRIMARY KEY (id) -) -WITH ( - OIDS = FALSE -) -TABLESPACE pg_default; - --- Link Table to Sequence - -ALTER SEQUENCE claims.claims_id_seq - OWNED BY claims.id; \ No newline at end of file diff --git a/app/claimdb/04-original_images_table_creation.sql b/app/claimdb/04-original_images_table_creation.sql deleted file mode 100644 index 351fc13d..00000000 --- a/app/claimdb/04-original_images_table_creation.sql +++ /dev/null @@ -1,38 +0,0 @@ --- Table: claims.original_images - --- DROP TABLE and SEQUENCE (with CASCADE) - --- DROP TABLE IF EXISTS claims.original_images CASCADE; - --- SEQUENCE: claims.original_images_id_seq - -CREATE SEQUENCE IF NOT EXISTS claims.original_images_id_seq - INCREMENT 1 - START 1 - MINVALUE 1 - MAXVALUE 2147483647 - CACHE 1; - --- Table: claims.original_images - -CREATE TABLE IF NOT EXISTS claims.original_images -( - id integer NOT NULL DEFAULT nextval('claims.original_images_id_seq'::regclass), - image_name text COLLATE pg_catalog."default" NOT NULL, - image_key text COLLATE pg_catalog."default" NOT NULL, - claim_id integer NOT NULL, - CONSTRAINT original_images_pkey PRIMARY KEY (id), - CONSTRAINT fk_claim_id FOREIGN KEY (claim_id) - REFERENCES claims.claims (id) MATCH SIMPLE - ON UPDATE CASCADE - ON DELETE CASCADE -) -WITH ( - OIDS = FALSE -) -TABLESPACE pg_default; - --- Link Table to Sequence - -ALTER SEQUENCE claims.original_images_id_seq - OWNED BY claims.original_images.id; \ No newline at end of file diff --git a/app/claimdb/05-processed_images_table_creation.sql b/app/claimdb/05-processed_images_table_creation.sql deleted file mode 100644 index 85ab7335..00000000 --- a/app/claimdb/05-processed_images_table_creation.sql +++ /dev/null @@ -1,38 +0,0 @@ --- Table: claims.processed_images - --- DROP TABLE and SEQUENCE (with CASCADE) - --- DROP TABLE IF EXISTS claims.processed_images CASCADE; - --- SEQUENCE: claims.processed_images_id_seq - -CREATE SEQUENCE IF NOT EXISTS claims.processed_images_id_seq - INCREMENT 1 - START 1 - MINVALUE 1 - MAXVALUE 2147483647 - CACHE 1; - --- Table: claims.processed_images - -CREATE TABLE IF NOT EXISTS claims.processed_images -( - id integer NOT NULL DEFAULT nextval('claims.processed_images_id_seq'::regclass), - image_name text COLLATE pg_catalog."default" NOT NULL, - image_key text COLLATE pg_catalog."default" NOT NULL, - claim_id integer NOT NULL, - CONSTRAINT processed_images_pkey PRIMARY KEY (id), - CONSTRAINT fk_claim_id FOREIGN KEY (claim_id) - REFERENCES claims.claims (id) MATCH SIMPLE - ON UPDATE CASCADE - ON DELETE CASCADE -) -WITH ( - OIDS = FALSE -) -TABLESPACE pg_default; - --- Link Table to Sequence - -ALTER SEQUENCE claims.processed_images_id_seq - OWNED BY claims.processed_images.id; \ No newline at end of file diff --git a/app/claimdb/06-create_base_claims.sql b/app/claimdb/06-create_base_claims.sql deleted file mode 100644 index 7a2b4522..00000000 --- a/app/claimdb/06-create_base_claims.sql +++ /dev/null @@ -1,146 +0,0 @@ --- --- Data for Name: claims; Type: TABLE DATA; Schema: claims; Owner: - --- - -INSERT INTO claims.claims (subject, body) VALUES ('Claim for Recent Car Accident - Policy Number: ABC12345', '

Dear XYZ Insurance Company,

-

I hope this email finds you well. I am writing to report a recent car accident in - which I was involved, and I would like to initiate a claim under my policy with your company. My policy - number is ABC12345, and my name is John Smith.

-

Accident Details:

-

Date and Time: The accident occurred on October 15, 2023, at approximately 2:30 - PM.

-

Location: The accident took place at the intersection of Elm Street and Maple Avenue, - near Smith Park, in Springfield, Illinois. The exact coordinates are 39.7476° N, 89.6960° W. -

-

Circumstances:

-

1. Weather Conditions: On the day of the accident, the weather was overcast with - light rain. The road was wet.

-

2. Traffic Conditions: Traffic was moderate at the time, with vehicles traveling in - all directions. I was driving at the posted speed limit of 35 mph.

-

3. Vehicle Involved: I was driving my Honda Accord at the time of the accident. The - other party involved was driving a Ford Escape.

-

4. Sequence of Events: While I was proceeding through the intersection with a green - light, the other vehicle, which was coming from the north, ran a red light and collided with the front - passenger side of my vehicle. I had no time to react to avoid the collision.

-

5. Injuries: Thankfully, there were no serious injuries, but both vehicles sustained - significant damage. The police were called to the scene, and a report was filed. The officer's badge - number is 12345, and I can provide a copy of the accident report upon request.

-

6. Witness Information: There were a few witnesses to the accident, and I have their - contact information. Their names are Sarah Johnson, Mark Williams, and Lisa Anderson.

-

7. Photos: I have taken several photos of the accident scene, including the damage to - both vehicles, the traffic signals, and road conditions. I can provide these photos to assist with the - claim.

-

8. Other Party's Information: The driver of the other vehicle provided me with - their insurance information and contact details, which I can share with you.

-

Claim Request:

-

I would like to request that you initiate a claim under my policy for the damages to - my vehicle. I would appreciate it if you could provide me with the next steps and the claim process. Please - let me know what documentation or information you require from me to process this claim efficiently. -

-

I understand that accidents happen, and I trust in your company's ability to - assist me during this challenging time. Your prompt attention to this matter is greatly appreciated. -

-

Please contact me at (555) 123-4567 or john.smith@email.com to discuss this further - or to request any additional information you may need.

-

Thank you for your assistance in this matter, and I look forward to your prompt - response.

-

Sincerely,

-

John Smith

'); -INSERT INTO claims.claims (subject, body) VALUES ('URGENT - Car Accident Claim - Policy Number: ABC12345', '

To Whom It May Concern at XYZ Insurance Company,

-

I can't believe I have to go through the hassle of contacting you regarding a car - accident claim, but I guess that's why I pay for insurance, right? My policy number is ABC12345, and my - name is John Smith.

-

Accident Details:

-

Date and Time: This whole nightmare happened on October 15, 2023, at around 2:30 - PM.

-

Location: The accident took place at the intersection of Elm Street and Maple Avenue, - near Smith Park in Springfield, Illinois. I even provided the exact coordinates: 39.7476° N, - 89.6960° W. The least you could do is use a map.

-

Circumstances:

-

1. Weather Conditions: The weather? Oh, it was just lovely. Overcast with some light - rain. The road? It was wet, alright.

-

2. Traffic Conditions: I had the privilege of navigating through moderate traffic, - with vehicles going in all directions. I was going exactly 35 mph, in case you care.

-

3. Vehicle Involved: My beloved Honda Accord was involved. The other party was - driving a Ford Escape.

-

4. Sequence of Events: Listen up – I was cruising through the intersection with - a green light, minding my own business. Then, this genius coming from the north decided that red lights - don't apply to them and plowed into my passenger side. I didn't have time to react, thanks to their - stupidity.

-

5. Injuries: Thankfully, we all walked away without injuries, but the vehicles? They - weren't so lucky. Of course, the police showed up and filed a report. Badge number 12345, as if that - means anything to me. Get me the report if you want it so badly.

-

6. Witness Information: Yeah, there were witnesses. Sarah Johnson, Mark Williams, and - Lisa Anderson, to be exact. Get in touch with them, not me!

-

7. Photos: I went the extra mile to document everything. I've got photos of the - accident scene, the vehicle damage, traffic lights – you name it. You can't accuse me of not being - prepared.

-

8. Other Party's Information: The other driver handed over their insurance info - and contact details. I suppose you want that too?

-

Claim Request:

-

I don't have time for games. I want to initiate a claim for the damage to my car, - and I want it done yesterday. Tell me the process, give me the paperwork, and let's get this over with. - I've got a life to live, and this accident is just a roadblock.

-

I trust you'll act swiftly to address this matter. I don't want excuses; I - want results. Reach me at (555) 123-4567 or john.smith@email.com. I don't care if it's after hours - – make it happen.

-

I'm not here to make friends. I'm here for the insurance I've been paying - for, so get your act together and give me a prompt response.

-

Sincerely,

-

John Smith

'); -INSERT INTO claims.claims (subject, body) VALUES ('I Need Help with Car Accident Claim - My Policy is ABC12345', '

Hi there, XYZ Insurance Company,

-

I hope this email is okay and finds you okay. I had an accident, and I'm not - exactly sure how to go about this, but I think it's something to do with a car accident claim, and my - policy number is ABC12345, I think.

-

Okay, so here's what happened:

-

Accident Stuff:

-

Date and Time: Um, so this accident thing happened on, like, October 15th, 2023, at, - um, 2:30 PM, I think.

-

Location: So, it happened at this place, um, the intersection of Elm Street and Maple - Avenue, near Smith Park in Springfield, Illinois. I heard you might need some coordinates? They're like - 39.7476° N and 89.6960° W or something. Hope that helps.

-

The Accidenty Part:

-

Weather Conditions: Well, the weather was kinda not great, I guess. It was like, - cloudy and a bit rainy. And the road was wet, you know?

-

Traffic Conditions: There were some cars around, like, moderate traffic, I guess. And - I was driving, like, the speed limit, which is, um, 35 mph, I think.

-

Car Details: So, my car is a Honda Accord, I think, and the other car involved was a - Ford Escape. Yeah, that's right.

-

What Happened: So, I had the green light, and I was driving through the intersection, - you know? But the other car, coming from the north or something, ran a red light and hit the front of my car - on the passenger side. I didn't really have time to react or anything.

-

Injuries: Good news, no one got hurt really bad, but our cars got pretty messed up. - The police came and made a report, and the officer had a badge number, I guess, it's 12345. I can get - you the report if you need it.

-

Witness Stuff: There were a few people who saw this happen, and I got their names. - It's Sarah Johnson, Mark Williams, and Lisa Anderson.

-

Photos: I took some pictures at the scene, like of the cars, the traffic lights, and - the road and stuff. If you want to see them, just let me know.

-

Other Driver Info: The other driver gave me their insurance info and contact stuff, - so I can share that with you too.

-

Now, um, about the claim:

-

I guess I need to do something about this, right? Can you help me with the steps and - what I need to give you? I don't really know how these things work.

-

I know accidents happen, and, uh, I hope you can help me through this. Can you reply - quickly, please? I'd really appreciate it.

-

You can call me at (555) 123-4567 or email me at john.smith@email.com. I'm not - really good at this stuff, so, you know, thanks for your help.

-

Sincerely,

-

John Smith

'); - - --- --- Name: claims_id_seq; Type: SEQUENCE SET; Schema: claims; Owner: - --- - -SELECT pg_catalog.setval('claims.claims_id_seq', 3, true); - - --- --- Name: claims claims_pkey; Type: CONSTRAINT; Schema: claims; Owner: - --- - -ALTER TABLE ONLY claims.claims - ADD CONSTRAINT claims_pkey PRIMARY KEY (id); - - diff --git a/app/frontend/LICENSE b/app/frontend/LICENSE deleted file mode 100644 index 46a7d044..00000000 --- a/app/frontend/LICENSE +++ /dev/null @@ -1,21 +0,0 @@ -MIT License - -Copyright (c) 2018 Red Hat - -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. diff --git a/app/frontend/__mocks__/fileMock.js b/app/frontend/__mocks__/fileMock.js deleted file mode 100644 index 86059f36..00000000 --- a/app/frontend/__mocks__/fileMock.js +++ /dev/null @@ -1 +0,0 @@ -module.exports = 'test-file-stub'; diff --git a/app/frontend/__mocks__/styleMock.js b/app/frontend/__mocks__/styleMock.js deleted file mode 100644 index f053ebf7..00000000 --- a/app/frontend/__mocks__/styleMock.js +++ /dev/null @@ -1 +0,0 @@ -module.exports = {}; diff --git a/app/frontend/src/app/__snapshots__/app.test.tsx.snap b/app/frontend/src/app/__snapshots__/app.test.tsx.snap deleted file mode 100644 index 7ab0af94..00000000 --- a/app/frontend/src/app/__snapshots__/app.test.tsx.snap +++ /dev/null @@ -1,211 +0,0 @@ -// Jest Snapshot v1, https://goo.gl/fbAQLP - -exports[`App tests should render default App component 1`] = ` - -
-
- - Skip to Content - -
-
- - - -
- - Patterfly Logo - -
-
-
-
- -
-
-
-
-

- Dashboard Page Title! -

-
-
-
- -`; diff --git a/bootstrap/ic-shared-database/images/processed_images/car0-processed.jpg b/app/frontend/src/app/assets/images/car0-processed.jpg similarity index 100% rename from bootstrap/ic-shared-database/images/processed_images/car0-processed.jpg rename to app/frontend/src/app/assets/images/car0-processed.jpg diff --git a/bootstrap/ic-shared-database/images/processed_images/car1-processed.jpg b/app/frontend/src/app/assets/images/car1-processed.jpg similarity index 100% rename from bootstrap/ic-shared-database/images/processed_images/car1-processed.jpg rename to app/frontend/src/app/assets/images/car1-processed.jpg diff --git a/bootstrap/ic-shared-database/images/processed_images/car2-processed.jpg b/app/frontend/src/app/assets/images/car2-processed.jpg similarity index 100% rename from bootstrap/ic-shared-database/images/processed_images/car2-processed.jpg rename to app/frontend/src/app/assets/images/car2-processed.jpg diff --git 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z_4n5gkmIAJJ2mN31G{E+c^bh_&_-10vH>m9CL&*ioyL8I{*lnj5)+A0xBvmyHb4*^ zdX~*W_~!>(A_GF?&~Kms_%9TIjbh-Fw$ = () => { React.useEffect(() => { axios.get(config.backend_api_url + `/db/claims/${claim_id}`) .then((response) => { + response.data.original_images = [{image_name: `images/original_car${claim_id}.jpg`, image_key: `src/app/assets/images/original_car${claim_id}.jpg`, claim_id: `${claim_id}`}]; + response.data.processed_images = [{image_name: `images/car${claim_id}-processed.jpg`, image_key: `src/app/assets/images/car${claim_id}-processed.jpg`, claim_id: `${claim_id}`}]; + //image_name, image_key, claim_id + console.log(`images for ${claim_id}`); + console.log(response.data); setClaim(response.data); }) .catch(error => { diff --git a/app/frontend/src/app/components/ImageCarousel/ImageCarousel.tsx b/app/frontend/src/app/components/ImageCarousel/ImageCarousel.tsx index 88cb5c86..376ae522 100644 --- a/app/frontend/src/app/components/ImageCarousel/ImageCarousel.tsx +++ b/app/frontend/src/app/components/ImageCarousel/ImageCarousel.tsx @@ -14,13 +14,14 @@ interface ImageCarouselProps { const ImageCarousel: React.FunctionComponent = ({ images }) => { const transformedImages = images.map(image => ({ - original: config.backend_api_url + "/images/" + image.image_key, - thumbnail: config.backend_api_url + "/images/" + image.image_key, + original: "/images/" + image.image_key, + thumbnail: "/images/" + image.image_key, thumbnailClass: "image-gallery-thumbnail", originalClass: "image-gallery-original", originalAlt: image.image_key, thumbnailAlt: image.image_key, })); + console.log("transformed images: " + transformedImages); return ( ); diff --git a/app/frontend/src/app/components/OriginalApp/OriginalApp.tsx b/app/frontend/src/app/components/OriginalApp/OriginalApp.tsx index 8a5e5831..66ad33e8 100644 --- a/app/frontend/src/app/components/OriginalApp/OriginalApp.tsx +++ b/app/frontend/src/app/components/OriginalApp/OriginalApp.tsx @@ -3,6 +3,20 @@ import { Page, PageSection, TextContent, Text, TextVariants, Title, Tabs, Tab } import car1 from '@app/assets/images/car1.jpg'; import car2 from '@app/assets/images/car2.jpg'; import car3 from '@app/assets/images/car3.jpg'; +import ocar0 from '@app/assets/images/original_car0.jpg'; +import ocar1 from '@app/assets/images/original_car1.jpg'; +import ocar2 from '@app/assets/images/original_car2.jpg'; +import ocar3 from '@app/assets/images/original_car3.jpg'; +import ocar4 from '@app/assets/images/original_car4.jpg'; +import ocar5 from '@app/assets/images/original_car5.jpg'; +import ocar6 from '@app/assets/images/original_car6.jpg'; +import pcar0 from '@app/assets/images/car0-processed.jpg'; +import pcar1 from '@app/assets/images/car1-processed.jpg'; +import pcar2 from '@app/assets/images/car2-processed.jpg'; +import pcar3 from '@app/assets/images/car3-processed.jpg'; +import pcar4 from '@app/assets/images/car4-processed.jpg'; +import pcar5 from '@app/assets/images/car5-processed.jpg'; +import pcar6 from '@app/assets/images/car6-processed.jpg'; const OriginalApp: React.FunctionComponent = () => { const [activeTabKey, setActiveTabKey] = React.useState(0); @@ -179,6 +193,20 @@ const OriginalApp: React.FunctionComponent = () => { Attached images: + + + + + + + + + + + + + + diff --git a/app/frontend/src/app/config.tsx b/app/frontend/src/app/config.tsx index 196d6889..6e67bc64 100644 --- a/app/frontend/src/app/config.tsx +++ b/app/frontend/src/app/config.tsx @@ -1,5 +1,5 @@ const config = { - backend_api_url: process.env.BACKEND_API_URL || window.location.protocol + '//' + window.location.hostname + '/api', + backend_api_url: process.env.BACKEND_API_URL || 'http://localhost:5000/api', }; export default config; \ No newline at end of file diff --git a/app/frontend/webpack.common.js b/app/frontend/webpack.common.js index 98636bd5..140d22e0 100644 --- a/app/frontend/webpack.common.js +++ b/app/frontend/webpack.common.js @@ -76,7 +76,7 @@ module.exports = (env) => { include: [ path.resolve(__dirname, 'src/app/assets/images'), ], - use: + use: { loader: 'file-loader', options: { diff --git a/app/package-lock.json b/app/package-lock.json index 497630e5..cad88337 100644 --- a/app/package-lock.json +++ b/app/package-lock.json @@ -13,7 +13,8 @@ "dotenv": "^8.2.0", "dotenv-expand": "^5.1.0", "npm-run-all": "^4.1.5", - "prettier": "^2.2.1" + "prettier": "^2.2.1", + "run-p": "^0.0.0" }, "engines": { "node": ">=18.0.0" @@ -1029,6 +1030,11 @@ "url": "https://github.com/sponsors/ljharb" } }, + "node_modules/run-p": { + "version": "0.0.0", + "resolved": "https://registry.npmjs.org/run-p/-/run-p-0.0.0.tgz", + "integrity": "sha512-ZLiUUVOXJcM/S1hMnm6Ooc1zAgAx98Mmn1qyA+y3WNeK7hOTGAusVR5r3uOQJ0NuUxZt7J9vNusYNNVgKPSbww==" + }, "node_modules/safe-array-concat": { "version": "1.1.2", "resolved": "https://registry.npmjs.org/safe-array-concat/-/safe-array-concat-1.1.2.tgz", diff --git a/app/package.json b/app/package.json index 39e6f91b..1e00140c 100644 --- a/app/package.json +++ b/app/package.json @@ -21,7 +21,7 @@ "build:backend": "cd ./backend && export PATH=$PATH:/opt/app-root/src/.local/bin && python3 -m ensurepip --upgrade && pip3 install -r requirements.txt", "build:frontend": "cd ./frontend && npm run build && cp -r ./dist/* ../backend/public", "dev": "run-p -l dev:*", - "dev:backend": "cd ./backend && source ./.venv/bin/activate && nodemon app.py dev", + "dev:backend": "cd ./backend && quarkus dev", "dev:frontend": "cd ./frontend && npm run start:dev", "format": "prettier --write \"backend/**/*.ts\" \"frontend/**/*.ts\" \"frontend/**/*.tsx\"", "make": "make", @@ -31,7 +31,6 @@ "make:undeploy": "make undeploy", "make:push": "make push", "postinstall": "run-p postinstall:*", - "postinstall:backend": "echo \"backend venv needs to be activated\"", "postinstall:frontend": "cd ./frontend && npm install", "start": "run-p start:*", "start:backend": "cd ./backend && python3 app.py", @@ -51,6 +50,7 @@ "dotenv": "^8.2.0", "dotenv-expand": "^5.1.0", "npm-run-all": "^4.1.5", - "prettier": "^2.2.1" + "prettier": "^2.2.1", + "run-p": "^0.0.0" } } diff --git a/bootstrap/applicationset/applicationset-bootstrap.yaml b/bootstrap/applicationset/applicationset-bootstrap.yaml deleted file mode 100644 index bbb58d0e..00000000 --- a/bootstrap/applicationset/applicationset-bootstrap.yaml +++ /dev/null @@ -1,70 +0,0 @@ -apiVersion: argoproj.io/v1alpha1 -kind: ApplicationSet -metadata: - name: bootstrap - namespace: openshift-gitops -spec: - generators: - - list: - elements: - - cluster: in-cluster - name: ic-shared-minio-app - repoURL: https://github.com/rh-aiservices-bu/parasol-insurance.git - targetRevision: dev - path: bootstrap/ic-shared-minio - - cluster: in-cluster - name: ic-shared-database-app - repoURL: https://github.com/rh-aiservices-bu/parasol-insurance.git - targetRevision: dev - path: bootstrap/ic-shared-database - - cluster: in-cluster - name: ic-shared-llm-app - repoURL: https://github.com/rh-aiservices-bu/parasol-insurance.git - targetRevision: dev - path: bootstrap/ic-shared-llm - - cluster: in-cluster - name: ic-shared-img-det - repoURL: https://github.com/rh-aiservices-bu/parasol-insurance.git - targetRevision: dev - path: bootstrap/ic-shared-img-det - - cluster: in-cluster - name: ic-rhoai-configuration - repoURL: https://github.com/rh-aiservices-bu/parasol-insurance.git - targetRevision: dev - path: bootstrap/ic-rhoai-configuration - - cluster: in-cluster - name: ic-user-projects - repoURL: https://github.com/rh-aiservices-bu/parasol-insurance.git - targetRevision: dev - path: bootstrap/ic-user-projects - - cluster: in-cluster - name: ic-shared-milvus - repoURL: https://github.com/rh-aiservices-bu/parasol-insurance.git - targetRevision: dev - path: bootstrap/ic-shared-milvus - - cluster: in-cluster - name: ic-shared-app - repoURL: https://github.com/rh-aiservices-bu/parasol-insurance.git - targetRevision: dev - path: bootstrap/ic-shared-app - template: - metadata: - name: '{{name}}' - namespace: openshift-gitops - labels: - component: bootstrap - purpose: '{{name}}' - spec: - project: default - source: - repoURL: '{{repoURL}}' - targetRevision: '{{targetRevision}}' - path: '{{path}}' - destination: - server: 'https://kubernetes.default.svc' - syncPolicy: - automated: - prune: true - selfHeal: true - syncOptions: - - RespectIgnoreDifferences=true \ No newline at end of file diff --git a/bootstrap/bootstrap.md b/bootstrap/bootstrap.md deleted file mode 100644 index a18c4c6b..00000000 --- a/bootstrap/bootstrap.md +++ /dev/null @@ -1,20 +0,0 @@ -manually - -```bash -GITEA_INT_URL="http://gitea.gitea.svc:3000/" -GITEA_REPO="opentlc-mgr/parasol-insurance-mirror/" -GITEA_BRANCH="dev/" -GITEA_APP_PATH="bootstrap/applications/ic-shared-minio-app.yaml" - -CMD=" oc apply -f ${GITEA_INT_URL}${GITEA_REPO}raw/branch/${GITEA_BRANCH}${GITEA_APP_PATH}" - -echo ${CMD} - -oc apply -f ./bootstrap/applicationset/applicationset-bootstrap.yaml - -``` - - \ No newline at end of file diff --git a/bootstrap/ic-rhoai-configuration/accelerator-profile.yaml b/bootstrap/ic-rhoai-configuration/accelerator-profile.yaml deleted file mode 100644 index 9cb23a9c..00000000 --- a/bootstrap/ic-rhoai-configuration/accelerator-profile.yaml +++ /dev/null @@ -1,15 +0,0 @@ -apiVersion: dashboard.opendatahub.io/v1 -kind: AcceleratorProfile -metadata: - name: migrated-gpu - namespace: redhat-ods-applications - annotations: - argocd.argoproj.io/sync-wave: "1" -spec: - displayName: NVIDIA GPU - enabled: true - identifier: nvidia.com/gpu - tolerations: - - effect: NoSchedule - key: nvidia.com/gpu - operator: Exists \ No newline at end of file diff --git a/bootstrap/ic-rhoai-configuration/ceph-rbd-set-default.yaml b/bootstrap/ic-rhoai-configuration/ceph-rbd-set-default.yaml deleted file mode 100644 index cbf1c63a..00000000 --- a/bootstrap/ic-rhoai-configuration/ceph-rbd-set-default.yaml +++ /dev/null @@ -1,7 +0,0 @@ -kind: StorageClass -apiVersion: storage.k8s.io/v1 -metadata: - name: ocs-storagecluster-ceph-rbd - annotations: - storageclass.kubernetes.io/is-default-class: 'true' - argocd.argoproj.io/sync-wave: "0" diff --git a/bootstrap/ic-rhoai-configuration/gp3-remove-default.yaml b/bootstrap/ic-rhoai-configuration/gp3-remove-default.yaml deleted file mode 100644 index 520d3c28..00000000 --- a/bootstrap/ic-rhoai-configuration/gp3-remove-default.yaml +++ /dev/null @@ -1,7 +0,0 @@ -kind: StorageClass -apiVersion: storage.k8s.io/v1 -metadata: - name: gp3-csi - annotations: - storageclass.kubernetes.io/is-default-class: 'false' - argocd.argoproj.io/sync-wave: "0" diff --git a/bootstrap/ic-rhoai-configuration/images-puller.yaml b/bootstrap/ic-rhoai-configuration/images-puller.yaml deleted file mode 100644 index 336515c1..00000000 --- a/bootstrap/ic-rhoai-configuration/images-puller.yaml +++ /dev/null @@ -1,206 +0,0 @@ ---- -apiVersion: apps/v1 -kind: DaemonSet -metadata: - name: image-puller-workbench - namespace: rhods-notebooks - labels: - k8s-app: image-puller - annotations: - argocd.argoproj.io/sync-wave: "2" -spec: - selector: - matchLabels: - name: image-puller - template: - metadata: - labels: - name: image-puller - spec: - containers: - - name: ic-workbench - image: image-registry.openshift-image-registry.svc:5000/redhat-ods-applications/ic-workbench:2.1.2 - command: ["tail"] - args: ["-f", "/dev/null"] - resources: - limits: - memory: 20Mi - requests: - cpu: 10m - memory: 10Mi - - name: vscode - image: image-registry.openshift-image-registry.svc:5000/redhat-ods-applications/ic-workbench-vscode:2023c - command: ["tail"] - args: ["-f", "/dev/null"] - resources: - limits: - memory: 20Mi - requests: - cpu: 10m - memory: 10Mi ---- -apiVersion: apps/v1 -kind: DaemonSet -metadata: - name: image-puller-ovms - namespace: rhods-notebooks - labels: - k8s-app: image-puller -spec: - selector: - matchLabels: - name: image-puller - template: - metadata: - labels: - name: image-puller - spec: - containers: - - name: oauth-proxy - image: registry.redhat.io/openshift4/ose-oauth-proxy@sha256:4bef31eb993feb6f1096b51b4876c65a6fb1f4401fee97fa4f4542b6b7c9bc46 - command: ["tail"] - args: ["-f", "/dev/null"] - resources: - limits: - memory: 20Mi - requests: - cpu: 10m - memory: 10Mi - - name: model-server - image: quay.io/modh/openvino_model_server@sha256:5d04d405526ea4ce5b807d0cd199ccf7f71bab1228907c091e975efa770a4908 - command: ["tail"] - args: ["-f", "/dev/null"] - resources: - limits: - memory: 20Mi - requests: - cpu: 10m - memory: 10Mi - - name: runtime-adapter - image: registry.redhat.io/rhoai/odh-modelmesh-runtime-adapter-rhel8@sha256:5762982131a5381e582a8952a3ba336b68a1e46257f552a087da6d5a900b8bdf - command: ["tail"] - args: ["-f", "/dev/null"] - resources: - limits: - memory: 20Mi - requests: - cpu: 10m - memory: 10Mi - - name: modelmesh - image: registry.redhat.io/rhoai/odh-modelmesh-rhel8@sha256:b20c29b1a81e8200a81aab2361af2863889eaa3ea68f4fb19335b97949276a1b - command: ["tail"] - args: ["-f", "/dev/null"] - resources: - limits: - memory: 20Mi - requests: - cpu: 10m - memory: 10Mi ---- -apiVersion: apps/v1 -kind: DaemonSet -metadata: - name: image-puller-pipelines - namespace: rhods-notebooks - labels: - k8s-app: image-puller -spec: - selector: - matchLabels: - name: image-puller - template: - metadata: - labels: - name: image-puller - spec: - containers: - - name: mariadb - image: registry.redhat.io/rhel8/mariadb-103@sha256:3d30992e60774f887c4e7959c81b0c41b0d82d042250b3b56f05ab67fd4cdee1 - command: ["tail"] - args: ["-f", "/dev/null"] - resources: - limits: - memory: 20Mi - requests: - cpu: 10m - memory: 10Mi - - name: ds-pipeline-scheduledworkflow-pipelines-definition - image: registry.redhat.io/rhoai/odh-ml-pipelines-scheduledworkflow-rhel8@sha256:3edce9aaa66f349c2291a161686349e0068017c7ad084146f41878f27a6eae74 - command: ["tail"] - args: ["-f", "/dev/null"] - resources: - limits: - memory: 20Mi - requests: - cpu: 10m - memory: 10Mi - - name: ds-pipeline-pipelines-definition - image: registry.redhat.io/rhoai/odh-ml-pipelines-api-server-rhel8@sha256:07954372e0e4dff0109d8d2551d059832ad87fb1fe8fbb8a54fa1c0f7878dbc1 - command: ["tail"] - args: ["-f", "/dev/null"] - resources: - limits: - memory: 20Mi - requests: - cpu: 10m - memory: 10Mi - - name: oauth-proxy - image: registry.redhat.io/openshift4/ose-oauth-proxy@sha256:ab112105ac37352a2a4916a39d6736f5db6ab4c29bad4467de8d613e80e9bb33 - command: ["tail"] - args: ["-f", "/dev/null"] - resources: - limits: - memory: 20Mi - requests: - cpu: 10m - memory: 10Mi - - name: ds-pipeline-persistenceagent-pipelines-definition - image: registry.redhat.io/rhoai/odh-ml-pipelines-persistenceagent-rhel8@sha256:6fdf2b754aea6732ae0757e099ec69fac1cb32e633342a160546ee5b99604af7 - command: ["tail"] - args: ["-f", "/dev/null"] - resources: - limits: - memory: 20Mi - requests: - cpu: 10m - memory: 10Mi - - name: ds-pipeline-runtime-image-confidence - image: quay.io/rh-aiservices-bu/rhoai-lab-insurance-claim-confidence-pipeline:1.1 - command: ["tail"] - args: ["-f", "/dev/null"] - resources: - limits: - memory: 20Mi - requests: - cpu: 10m - memory: 10Mi ---- -apiVersion: apps/v1 -kind: DaemonSet -metadata: - name: image-puller-app - namespace: rhods-notebooks - labels: - k8s-app: image-puller - annotations: - argocd.argoproj.io/sync-wave: "2" -spec: - selector: - matchLabels: - name: image-puller - template: - metadata: - labels: - name: image-puller - spec: - containers: - - name: ic-app - image: quay.io/rh-aiservices-bu/rhoai-lab-insurance-claim-app:2.1.2 - command: ["tail"] - args: ["-f", "/dev/null"] - resources: - limits: - memory: 20Mi - requests: - cpu: 10m - memory: 10Mi diff --git a/bootstrap/ic-rhoai-configuration/kustomization.yaml b/bootstrap/ic-rhoai-configuration/kustomization.yaml deleted file mode 100644 index 04407b77..00000000 --- a/bootstrap/ic-rhoai-configuration/kustomization.yaml +++ /dev/null @@ -1,21 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization - -commonLabels: - component: ic-rhoai-configuration - -resources: -# wave 0 -- gp3-remove-default.yaml -- ceph-rbd-set-default.yaml -# wave 1 -- workbench-imagestream.yaml -- workbench-vscode-is.yaml -- odhdashboardconfig.yaml -- accelerator-profile.yaml -# wave 2 -- images-puller.yaml - - - diff --git a/bootstrap/ic-rhoai-configuration/odhdashboardconfig.yaml b/bootstrap/ic-rhoai-configuration/odhdashboardconfig.yaml deleted file mode 100644 index c5786482..00000000 --- a/bootstrap/ic-rhoai-configuration/odhdashboardconfig.yaml +++ /dev/null @@ -1,33 +0,0 @@ -apiVersion: opendatahub.io/v1alpha -kind: OdhDashboardConfig -metadata: - name: odh-dashboard-config - namespace: redhat-ods-applications - annotations: - argocd.argoproj.io/sync-wave: "1" -spec: - modelServerSizes: - - name: Standard - resources: - limits: - cpu: '1' - memory: 1Gi - requests: - cpu: '1' - memory: 1Gi - notebookController: - enabled: true - notebookNamespace: rhods-notebooks - pvcSize: 5Gi - notebookSizes: - - name: Standard - resources: - limits: - cpu: '2' - memory: 8Gi - requests: - cpu: '1' - memory: 6Gi - templateOrder: [] - - diff --git a/bootstrap/ic-rhoai-configuration/workbench-imagestream.yaml b/bootstrap/ic-rhoai-configuration/workbench-imagestream.yaml deleted file mode 100644 index 985949ff..00000000 --- a/bootstrap/ic-rhoai-configuration/workbench-imagestream.yaml +++ /dev/null @@ -1,38 +0,0 @@ -kind: ImageStream -apiVersion: image.openshift.io/v1 -metadata: - annotations: - opendatahub.io/notebook-image-creator: admin - opendatahub.io/notebook-image-desc: >- - Jupyter notebook image with all the libraries needed for the OpenShift AI Insurance Claim Lab. - opendatahub.io/notebook-image-name: CUSTOM - Insurance Claim Processing Lab Workbench - opendatahub.io/notebook-image-order: '01' - opendatahub.io/notebook-image-url: >- - https://github.com/rh-aiservices-bu/parasol-insurance/tree/main/bootstrap/workbench-image - opendatahub.io/recommended-accelerators: '[]' - argocd.argoproj.io/sync-wave: "1" - name: ic-workbench - namespace: redhat-ods-applications - labels: - app.kubernetes.io/created-by: byon - opendatahub.io/dashboard: 'true' - opendatahub.io/notebook-image: 'true' -spec: - lookupPolicy: - local: true - tags: - - name: '2.1.2' - annotations: - opendatahub.io/notebook-python-dependencies: >- - [{"name":"PyTorch","version":"2.2.2"},{"name":"Langchain","version":"0.1.12"},{"name":"Ultralytics","version":"8.1.47"},] - opendatahub.io/notebook-software: >- - [{"name":"Python","version":"v3.11"}] - openshift.io/imported-from: quay.io/rh-aiservices-bu/rhoai-lab-insurance-claim-workbench - from: - kind: DockerImage - name: >- - quay.io/rh-aiservices-bu/rhoai-lab-insurance-claim-workbench:2.1.2 - importPolicy: - importMode: Legacy - referencePolicy: - type: Source diff --git a/bootstrap/ic-rhoai-configuration/workbench-vscode-is.yaml b/bootstrap/ic-rhoai-configuration/workbench-vscode-is.yaml deleted file mode 100644 index e633c784..00000000 --- a/bootstrap/ic-rhoai-configuration/workbench-vscode-is.yaml +++ /dev/null @@ -1,40 +0,0 @@ -kind: ImageStream -apiVersion: image.openshift.io/v1 -metadata: - annotations: - opendatahub.io/notebook-image-order: '02' - opendatahub.io/notebook-image-url: >- - https://github.com/opendatahub-io-contrib/workbench-images - internal.config.kubernetes.io/previousNamespaces: default - internal.config.kubernetes.io/previousKinds: ImageStream - opendatahub.io/notebook-image-name: CUSTOM - VSCode for Insurance Claim Processing Lab - internal.config.kubernetes.io/previousNames: CUSTOM - VSCode for Insurance Claim Processing Lab - opendatahub.io/recommended-accelerators: '["nvidia.com/gpu"]' - opendatahub.io/notebook-image-desc: >- - VSCode image for the OpenShift AI Insurance Claim Lab. - argocd.argoproj.io/sync-wave: "1" - name: ic-workbench-vscode - namespace: redhat-ods-applications - labels: - app.kubernetes.io/part-of: workbenches - app.opendatahub.io/workbenches: 'true' - component.opendatahub.io/name: notebooks - opendatahub.io/component: 'true' - opendatahub.io/notebook-image: 'true' -spec: - lookupPolicy: - local: true - tags: - - name: '2023c' - annotations: - opendatahub.io/notebook-software: >- - [{"name":"VSCode","version":"4.16.1"},{"name":"Python","version":"v3.11"}] - openshift.io/imported-from: quay.io/opendatahub-contrib/workbench-images - from: - kind: DockerImage - name: >- - quay.io/opendatahub-contrib/workbench-images:vscode-datascience-c9s-py311_2023c_latest - importPolicy: - importMode: Legacy - referencePolicy: - type: Source diff --git a/bootstrap/ic-shared-app/deployment-app.yaml b/bootstrap/ic-shared-app/deployment-app.yaml deleted file mode 100644 index 3135ea52..00000000 --- a/bootstrap/ic-shared-app/deployment-app.yaml +++ /dev/null @@ -1,105 +0,0 @@ ---- -apiVersion: apps/v1 -kind: Deployment -metadata: - name: ic-app - annotations: - argocd.argoproj.io/sync-wave: "1" -spec: - replicas: 1 - selector: - matchLabels: - app: ic-app - template: - metadata: - creationTimestamp: null - labels: - app: ic-app - deployment: ic-app - spec: - containers: - - name: insurance-claim-app - image: quay.io/rh-aiservices-bu/rhoai-lab-insurance-claim-app:2.1.2 - ports: - - containerPort: 5000 - protocol: TCP - env: - - name: NAMESPACE - valueFrom: - fieldRef: - fieldPath: metadata.namespace - - name: INFERENCE_SERVER_URL - value: http://llm.ic-shared-llm.svc.cluster.local:8000/v1 - - name: MODEL_NAME - value: 'mistralai/Mistral-7B-Instruct-v0.2' - - name: MAX_TOKENS - value: '512' - - name: TOP_P - value: '0.95' - - name: TEMPERATURE - value: '0.01' - - name: PRESENCE_PENALTY - value: '1.03' - - name: POSTGRES_HOST - value: claimdb.ic-shared-db.svc.cluster.local - - name: POSTGRES_DB - valueFrom: - secretKeyRef: - name: claimdb - key: database-name - - name: POSTGRES_USER - valueFrom: - secretKeyRef: - name: claimdb - key: database-user - - name: POSTGRES_PASSWORD - valueFrom: - secretKeyRef: - name: claimdb - key: database-password - - name: POSTGRES_PORT - value: '5432' - - name: S3_ENDPOINT_URL - value: http://minio.ic-shared-minio.svc.cluster.local:9000 - - name: IMAGES_BUCKET - value: claim-images - - name: AWS_ACCESS_KEY_ID - valueFrom: - secretKeyRef: - name: secret-minio - key: aws_access_key_id - - name: AWS_SECRET_ACCESS_KEY - valueFrom: - secretKeyRef: - name: secret-minio - key: aws_secret_access_key - - name: MILVUS_HOST - value: vectordb-milvus.ic-shared-milvus.svc.cluster.local - - name: MILVUS_PORT - value: '19530' - - name: MILVUS_USERNAME - value: root - - name: MILVUS_PASSWORD - value: Milvus - - name: SCORE_THRESHOLD - value: '0.90' - - name: MILVUS_COLLECTION - value: california_driver_handbook_1_0 - - name: MAX_RETRIEVED_DOCS - value: '4' - resources: {} - terminationMessagePath: /dev/termination-log - terminationMessagePolicy: File - imagePullPolicy: Always - restartPolicy: Always - terminationGracePeriodSeconds: 30 - dnsPolicy: ClusterFirst - securityContext: {} - schedulerName: default-scheduler - strategy: - type: RollingUpdate - rollingUpdate: - maxUnavailable: 25% - maxSurge: 25% - revisionHistoryLimit: 10 - progressDeadlineSeconds: 600 \ No newline at end of file diff --git a/bootstrap/ic-shared-app/kustomization.yaml b/bootstrap/ic-shared-app/kustomization.yaml deleted file mode 100644 index 640ccdc3..00000000 --- a/bootstrap/ic-shared-app/kustomization.yaml +++ /dev/null @@ -1,18 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization - -namespace: ic-shared-app - -commonLabels: - component: ic-claim-app - -resources: -# wave 0 -- namespace.yaml -- secret-db.yaml -- secret-minio.yaml -# wave 1 -- deployment-app.yaml -- service-app.yaml -- route-app.yaml diff --git a/bootstrap/ic-shared-app/namespace.yaml b/bootstrap/ic-shared-app/namespace.yaml deleted file mode 100644 index 8b63c9eb..00000000 --- a/bootstrap/ic-shared-app/namespace.yaml +++ /dev/null @@ -1,11 +0,0 @@ ---- -apiVersion: v1 -kind: Namespace -metadata: - name: ic-shared-app - labels: - app: ic-shared-app - argocd.argoproj.io/managed-by: openshift-gitops - annotations: - openshift.io/display-name: "Shared Demo Application" - argocd.argoproj.io/sync-wave: "0" diff --git a/bootstrap/ic-shared-app/route-app.yaml b/bootstrap/ic-shared-app/route-app.yaml deleted file mode 100644 index c3963e9e..00000000 --- a/bootstrap/ic-shared-app/route-app.yaml +++ /dev/null @@ -1,20 +0,0 @@ ---- -kind: Route -apiVersion: route.openshift.io/v1 -metadata: - name: ic-app - labels: - app: ic-app - annotations: - argocd.argoproj.io/sync-wave: "1" -spec: - to: - kind: Service - name: ic-app - weight: 100 - port: - targetPort: http - tls: - termination: edge - insecureEdgeTerminationPolicy: Redirect - wildcardPolicy: None diff --git a/bootstrap/ic-shared-app/secret-db.yaml b/bootstrap/ic-shared-app/secret-db.yaml deleted file mode 100644 index 12966855..00000000 --- a/bootstrap/ic-shared-app/secret-db.yaml +++ /dev/null @@ -1,14 +0,0 @@ ---- -kind: Secret -apiVersion: v1 -metadata: - name: claimdb - labels: - app: claimdb - annotations: - argocd.argoproj.io/sync-wave: "0" -stringData: - database-name: claimdb - database-password: claimdb - database-user: claimdb -type: Opaque \ No newline at end of file diff --git a/bootstrap/ic-shared-app/secret-minio.yaml b/bootstrap/ic-shared-app/secret-minio.yaml deleted file mode 100644 index 75553db4..00000000 --- a/bootstrap/ic-shared-app/secret-minio.yaml +++ /dev/null @@ -1,13 +0,0 @@ ---- -kind: Secret -apiVersion: v1 -metadata: - name: secret-minio - labels: - app: ic-app-minio - annotations: - argocd.argoproj.io/sync-wave: "0" -stringData: - aws_access_key_id: minio - aws_secret_access_key: minio123 -type: Opaque \ No newline at end of file diff --git a/bootstrap/ic-shared-app/service-app.yaml b/bootstrap/ic-shared-app/service-app.yaml deleted file mode 100644 index c8bba3c8..00000000 --- a/bootstrap/ic-shared-app/service-app.yaml +++ /dev/null @@ -1,19 +0,0 @@ ---- -apiVersion: v1 -kind: Service -metadata: - name: ic-app - labels: - app: ic-app - annotations: - argocd.argoproj.io/sync-wave: "1" -spec: - ports: - - name: http - protocol: TCP - port: 5000 - targetPort: 5000 - selector: - app: ic-app - sessionAffinity: None - type: ClusterIP diff --git a/bootstrap/ic-shared-database/db-init-job.yaml b/bootstrap/ic-shared-database/db-init-job.yaml deleted file mode 100644 index eecd8fa4..00000000 --- a/bootstrap/ic-shared-database/db-init-job.yaml +++ /dev/null @@ -1,51 +0,0 @@ -apiVersion: batch/v1 -kind: Job -metadata: - name: db-init-job - annotations: - argocd.argoproj.io/sync-wave: "2" -spec: - template: - spec: - initContainers: - - name: wait-for-db - image: busybox:1.28 - command: ['sh', '-c', 'until nc -z -v -w30 $POSTGRESQL_DATABASE 5432; do echo "Waiting for database connection..."; sleep 2; done;'] - env: - - name: POSTGRESQL_DATABASE - value: claimdb.ic-shared-db.svc.cluster.local - containers: - - name: postgresql - image: registry.redhat.io/rhel9/postgresql-13:latest - env: - - name: POSTGRESQL_DATABASE - valueFrom: - secretKeyRef: - name: claimdb - key: database-name - - name: POSTGRESQL_USER - valueFrom: - secretKeyRef: - name: claimdb - key: database-user - - name: PGPASSWORD - valueFrom: - secretKeyRef: - name: claimdb - key: database-password - - name: POSTGRESQL_DATABASE_HOST - value: claimdb.ic-shared-db.svc.cluster.local - command: ["/bin/bash", "-c"] - args: - - | - echo "Running SQL script" - psql -h $POSTGRESQL_DATABASE_HOST -p 5432 -U $POSTGRESQL_USER -d $POSTGRESQL_DATABASE -f /sql-script/script.sql - volumeMounts: - - name: sql-script-volume - mountPath: /sql-script - restartPolicy: Never - volumes: - - name: sql-script-volume - configMap: - name: sql-script-configmap - backoffLimit: 4 \ No newline at end of file diff --git a/bootstrap/ic-shared-database/deployment.yaml b/bootstrap/ic-shared-database/deployment.yaml deleted file mode 100644 index c359be16..00000000 --- a/bootstrap/ic-shared-database/deployment.yaml +++ /dev/null @@ -1,76 +0,0 @@ -apiVersion: apps/v1 -kind: Deployment -metadata: - namespace: ic-shared-db - name: ic-shared-db - annotations: - argocd.argoproj.io/sync-wave: "1" -spec: - selector: - matchLabels: - app: ic-shared-db - replicas: 1 - template: - metadata: - labels: - app: ic-shared-db - spec: - containers: - - name: postgresql - image: registry.redhat.io/rhel9/postgresql-13:latest - resources: - limits: - memory: 512Mi - readinessProbe: - exec: - command: - - /usr/libexec/check-container - initialDelaySeconds: 5 - timeoutSeconds: 1 - periodSeconds: 10 - successThreshold: 1 - failureThreshold: 3 - livenessProbe: - exec: - command: - - /usr/libexec/check-container - - '--live' - initialDelaySeconds: 120 - timeoutSeconds: 10 - periodSeconds: 10 - successThreshold: 1 - failureThreshold: 3 - env: - - name: POSTGRESQL_USER - valueFrom: - secretKeyRef: - name: claimdb - key: database-user - - name: POSTGRESQL_PASSWORD - valueFrom: - secretKeyRef: - name: claimdb - key: database-password - - name: POSTGRESQL_DATABASE - valueFrom: - secretKeyRef: - name: claimdb - key: database-name - securityContext: - capabilities: {} - privileged: false - ports: - - containerPort: 5432 - protocol: TCP - imagePullPolicy: IfNotPresent - terminationMessagePath: /dev/termination-log - terminationMessagePolicy: File - volumeMounts: - - name: claimdb-data - mountPath: /var/lib/pgsql/data - volumes: - - name: claimdb-data - persistentVolumeClaim: - claimName: claimdb - strategy: - type: Recreate diff --git a/bootstrap/ic-shared-database/kustomization.yaml b/bootstrap/ic-shared-database/kustomization.yaml deleted file mode 100644 index 31539b16..00000000 --- a/bootstrap/ic-shared-database/kustomization.yaml +++ /dev/null @@ -1,22 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization - -namespace: ic-shared-db - -commonLabels: - component: ic-shared-db - -resources: -# wave 0 -- namespace.yaml -# wave 1 -- pvc.yaml -- secret.yaml -- secret-minio.yaml -- deployment.yaml -- service.yaml -- sql-script-configmap.yaml -# wave 2 -- db-init-job.yaml -- populate-images.yaml diff --git a/bootstrap/ic-shared-database/namespace.yaml b/bootstrap/ic-shared-database/namespace.yaml deleted file mode 100644 index f57dfb18..00000000 --- a/bootstrap/ic-shared-database/namespace.yaml +++ /dev/null @@ -1,11 +0,0 @@ ---- -apiVersion: v1 -kind: Namespace -metadata: - name: ic-shared-db - labels: - app: ic-shared-db - argocd.argoproj.io/managed-by: openshift-gitops - annotations: - openshift.io/display-name: "Shared PostgreSQL Database" - argocd.argoproj.io/sync-wave: "0" diff --git a/bootstrap/ic-shared-database/populate-images.yaml b/bootstrap/ic-shared-database/populate-images.yaml deleted file mode 100644 index 924abad4..00000000 --- a/bootstrap/ic-shared-database/populate-images.yaml +++ /dev/null @@ -1,59 +0,0 @@ ---- -apiVersion: batch/v1 -kind: Job -metadata: - name: populate-images - annotations: - argocd.argoproj.io/sync-wave: "2" -spec: - backoffLimit: 4 - template: - spec: - initContainers: - - name: wait-for-minio - image: busybox:1.28 - command: ['sh', '-c', 'until nc -z -v -w30 $MINIO_ENDPOINT 9000; do echo "Waiting for Minio connection..."; sleep 2; done;'] - env: - - name: MINIO_ENDPOINT - value: minio.ic-shared-minio.svc.cluster.local - containers: - - name: add-images-to-bucket - image: image-registry.openshift-image-registry.svc:5000/redhat-ods-applications/s2i-generic-data-science-notebook:1.2 - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - git clone https://github.com/rh-aiservices-bu/parasol-insurance.git - - cat << 'EOF' | python3 - import boto3, os, botocore - - s3 = boto3.client("s3", - endpoint_url=os.getenv("AWS_S3_ENDPOINT"), - aws_access_key_id=os.getenv("AWS_ACCESS_KEY_ID"), - aws_secret_access_key=os.getenv("AWS_SECRET_ACCESS_KEY")) - - # Create image bucket - bucket_name = "claim-images" - try: - s3.head_bucket(Bucket=bucket_name) - except botocore.exceptions.ClientError as e: - if e.response['Error']['Code'] == '404': - s3.create_bucket(Bucket=bucket_name) - - # Upload original images to minio - for filename in os.listdir("parasol-insurance/bootstrap/ic-shared-database/images/original_images"): - with open(f"parasol-insurance/bootstrap/ic-shared-database/images/original_images/{filename}", "rb") as f: - s3.upload_fileobj(f, bucket_name, f"original_images/{filename}") - - # Upload processed images to minio - for filename in os.listdir("parasol-insurance/bootstrap/ic-shared-database/images/processed_images"): - with open(f"parasol-insurance/bootstrap/ic-shared-database/images/processed_images/{filename}", "rb") as f: - s3.upload_fileobj(f, bucket_name, f"processed_images/{filename}") - - EOF - envFrom: - - secretRef: - name: secret-minio - restartPolicy: Never diff --git a/bootstrap/ic-shared-database/pvc.yaml b/bootstrap/ic-shared-database/pvc.yaml deleted file mode 100644 index 77f8c1f8..00000000 --- a/bootstrap/ic-shared-database/pvc.yaml +++ /dev/null @@ -1,16 +0,0 @@ ---- -apiVersion: v1 -kind: PersistentVolumeClaim -metadata: - name: claimdb - namespace: ic-shared-db - labels: - app: ic-shared-db - annotations: - argocd.argoproj.io/sync-wave: "1" -spec: - accessModes: - - ReadWriteOnce - resources: - requests: - storage: 10Gi diff --git a/bootstrap/ic-shared-database/secret-minio.yaml b/bootstrap/ic-shared-database/secret-minio.yaml deleted file mode 100644 index 8558f9fb..00000000 --- a/bootstrap/ic-shared-database/secret-minio.yaml +++ /dev/null @@ -1,14 +0,0 @@ -kind: Secret -apiVersion: v1 -metadata: - name: secret-minio - namespace: ic-shared-db - labels: - app: ic-shared-db - annotations: - argocd.argoproj.io/sync-wave: "1" -stringData: - AWS_S3_ENDPOINT: http://minio.ic-shared-minio.svc.cluster.local:9000 - AWS_ACCESS_KEY_ID: minio - AWS_SECRET_ACCESS_KEY: minio123 -type: Opaque \ No newline at end of file diff --git a/bootstrap/ic-shared-database/secret.yaml b/bootstrap/ic-shared-database/secret.yaml deleted file mode 100644 index d663dd1d..00000000 --- a/bootstrap/ic-shared-database/secret.yaml +++ /dev/null @@ -1,14 +0,0 @@ -kind: Secret -apiVersion: v1 -metadata: - name: claimdb - namespace: ic-shared-db - labels: - app: ic-shared-db - annotations: - argocd.argoproj.io/sync-wave: "1" -stringData: - database-name: claimdb - database-password: claimdb - database-user: claimdb -type: Opaque \ No newline at end of file diff --git a/bootstrap/ic-shared-database/service.yaml b/bootstrap/ic-shared-database/service.yaml deleted file mode 100644 index da668a7d..00000000 --- a/bootstrap/ic-shared-database/service.yaml +++ /dev/null @@ -1,20 +0,0 @@ ---- -apiVersion: v1 -kind: Service -metadata: - name: claimdb - namespace: ic-shared-db - labels: - app: ic-shared-db - annotations: - argocd.argoproj.io/sync-wave: "1" -spec: - ports: - - name: postgresql - protocol: TCP - port: 5432 - targetPort: 5432 - selector: - app: ic-shared-db - sessionAffinity: None - type: ClusterIP diff --git a/bootstrap/ic-shared-img-det/add-model-job.yaml b/bootstrap/ic-shared-img-det/add-model-job.yaml deleted file mode 100644 index 81e9d381..00000000 --- a/bootstrap/ic-shared-img-det/add-model-job.yaml +++ /dev/null @@ -1,54 +0,0 @@ ---- -apiVersion: batch/v1 -kind: Job -metadata: - name: add-model-job - annotations: - argocd.argoproj.io/sync-wave: "2" -spec: - backoffLimit: 4 - template: - spec: - serviceAccount: sa-img-det-gitops-setup - serviceAccountName: sa-img-det-gitops-setup - initContainers: - # - name: wait-for-imagestream - # image: image-registry.openshift-image-registry.svc:5000/openshift/tools:latest - # imagePullPolicy: IfNotPresent - # command: ["/bin/bash"] - # args: - # - -ec - # - |- - # echo -n 'Waiting for RHODS to deploy ImageStreams' - # while ! oc get istag -n redhat-ods-applications 2>/dev/null | grep -qF s2i-generic-data-science-notebook:1.2; do - # echo -n . - # sleep 5 - # done; echo - containers: - - name: add-model - image: image-registry.openshift-image-registry.svc:5000/redhat-ods-applications/s2i-generic-data-science-notebook:1.2 - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - # in case we need to add more models, we can do it here too. - echo -n "not doing anything right now" - # curl -LO https://ai-on-openshift.io/odh-rhods/img-triton/card.fraud.detection.onnx - # cat << 'EOF' | python3 - # filename = "card.fraud.detection.onnx" - # import boto3, os - # s3 = boto3.client("s3", - # endpoint_url=os.getenv("AWS_S3_ENDPOINT"), - # aws_access_key_id=os.getenv("AWS_ACCESS_KEY_ID"), - # aws_secret_access_key=os.getenv("AWS_SECRET_ACCESS_KEY")) - # bucket = os.getenv("AWS_S3_BUCKET") - # if bucket not in [bu["Name"] for bu in s3.list_buckets()["Buckets"]]: - # s3.create_bucket(Bucket=bucket) - # with open(filename, "rb") as f: - # s3.upload_fileobj(f, bucket, f'fraud/{filename}') - # EOF - envFrom: - - secretRef: - name: aws-connection-minio - restartPolicy: Never diff --git a/bootstrap/ic-shared-img-det/create-data-connection.yaml b/bootstrap/ic-shared-img-det/create-data-connection.yaml deleted file mode 100644 index cdb01dfa..00000000 --- a/bootstrap/ic-shared-img-det/create-data-connection.yaml +++ /dev/null @@ -1,51 +0,0 @@ ---- -apiVersion: batch/v1 -kind: Job -metadata: - name: create-data-connection - annotations: - argocd.argoproj.io/sync-wave: "1" - argocd.argoproj.io/hook: Sync - argocd.argoproj.io/hook-delete-policy: BeforeHookCreation -spec: - backoffLimit: 4 - template: - spec: - serviceAccount: sa-img-det-gitops-setup - serviceAccountName: sa-img-det-gitops-setup - containers: - - name: create-data-connection - image: image-registry.openshift-image-registry.svc:5000/openshift/tools:latest - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - echo -n "Waiting for minio-root-user." - while [ -z "$(oc get secret -n ic-shared-minio minio-root-user -oname 2>/dev/null)" ]; do - echo -n '.' - sleep 1 - done; echo - id=$(oc get secret -n ic-shared-minio minio-root-user -ogo-template='{{.data.MINIO_ROOT_USER|base64decode}}') - secret=$(oc get secret -n ic-shared-minio minio-root-user -ogo-template='{{.data.MINIO_ROOT_PASSWORD|base64decode}}') - echo "Creating secret for ${id}" - cat << EOF | oc apply -f- - apiVersion: v1 - kind: Secret - metadata: - name: aws-connection-minio - labels: - opendatahub.io/dashboard: "true" - opendatahub.io/managed: "true" - annotations: - opendatahub.io/connection-type: s3 - openshift.io/display-name: MinIO - type: Opaque - stringData: - AWS_ACCESS_KEY_ID: ${id} - AWS_SECRET_ACCESS_KEY: ${secret} - AWS_DEFAULT_REGION: us - AWS_S3_ENDPOINT: http://minio.ic-shared-minio.svc:9000 - AWS_S3_BUCKET: models - EOF - restartPolicy: Never diff --git a/bootstrap/ic-shared-img-det/kustomization.yaml b/bootstrap/ic-shared-img-det/kustomization.yaml deleted file mode 100644 index e82ccc3b..00000000 --- a/bootstrap/ic-shared-img-det/kustomization.yaml +++ /dev/null @@ -1,18 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization - -commonLabels: - component: model - -namespace: ic-shared-img-det - -resources: -- project.yaml -- setup-serviceaccount.yaml -- create-data-connection.yaml -- add-model-job.yaml -- runtime.yaml -- model.yaml -# pinger is not ready yet -# - pinger.yaml diff --git a/bootstrap/ic-shared-img-det/model.yaml b/bootstrap/ic-shared-img-det/model.yaml deleted file mode 100644 index e3a8df64..00000000 --- a/bootstrap/ic-shared-img-det/model.yaml +++ /dev/null @@ -1,44 +0,0 @@ -# --- -# apiVersion: serving.kserve.io/v1beta1 -# kind: InferenceService -# metadata: -# annotations: -# openshift.io/display-name: accident -# serving.kserve.io/deploymentMode: ModelMesh -# argocd.argoproj.io/sync-wave: "3" -# argocd.argoproj.io/sync-options: SkipDryRunOnMissingResource=true -# labels: -# name: accident -# opendatahub.io/dashboard: "true" -# name: accident -# spec: -# predictor: -# model: -# modelFormat: -# name: onnx -# version: "1" -# runtime: triton -# storage: -# key: aws-connection-minio -# path: accident/ ---- -apiVersion: serving.kserve.io/v1beta1 -kind: InferenceService -metadata: - annotations: - openshift.io/display-name: img-det - serving.kserve.io/deploymentMode: ModelMesh - labels: - name: "img-det" - opendatahub.io/dashboard: 'true' - name: "img-det" -spec: - predictor: - model: - modelFormat: - name: onnx - version: '1' - runtime: ovms - storage: - key: aws-connection-minio - path: accident/ \ No newline at end of file diff --git a/bootstrap/ic-shared-img-det/pinger.yaml b/bootstrap/ic-shared-img-det/pinger.yaml deleted file mode 100644 index 2745534a..00000000 --- a/bootstrap/ic-shared-img-det/pinger.yaml +++ /dev/null @@ -1,134 +0,0 @@ ---- -apiVersion: apps/v1 -kind: Deployment -metadata: - name: model-pinger - labels: - app: model-pinger -spec: - replicas: 1 - revisionHistoryLimit: 3 - selector: - matchLabels: - app: model-pinger - strategy: - type: RollingUpdate - rollingUpdate: - maxSurge: 1 - maxUnavailable: 100% - template: - metadata: - labels: - app: model-pinger - spec: - containers: - - name: pinger - image: quay.io/rh-aiservices-bu/rhoai-lab-insurance-claim-small-datascience:1.0 - command: - - python - - -u - - /ping_model.py - env: - - name: MM_SERVING_HOST - value: modelmesh-serving:8008 - - name: MM_MODEL_NAME - # value: fraud-4 - value: fraud-latest - - name: SLEEP_TIME - value: "5" - resources: - limits: - cpu: "0.2" - memory: 256Mi - volumeMounts: - - name: pinger-config - subPath: ping_model.py - mountPath: /ping_model.py - volumes: - - name: pinger-config - configMap: - name: model-pinger - ---- -apiVersion: v1 -kind: ConfigMap -metadata: - name: model-pinger -data: - ping_model.py: | - import os - import time - from datetime import datetime - import random - - # MM_SERVING_HOST = os.environ.get("MM_SERVING_HOST", "modelmesh-serving:8008") - # MM_MODEL_NAME = os.environ.get("MM_MODEL_NAME", "fraud-latest") - - # # deployed_model_name = "fraud-latest" - # # rest_url = "http://modelmesh-serving:8008" - # deployed_model_name = MM_MODEL_NAME - # rest_url = f"http://{MM_SERVING_HOST}" - # infer_url = f"{rest_url}/v2/models/{deployed_model_name}/infer" - # print(infer_url) - - # import requests - - # def rest_request(data): - # json_data = { - # "inputs": [ - # { - # "name": "dense_input", - # "shape": [1, 5], - # "datatype": "FP32", - # "data": data - # } - # ] - # } - - # response = requests.post(infer_url, json=json_data) - # response_dict = response.json() - # return response_dict['outputs'][0]['data'] - - - # MM_SERVING_HOST = os.environ.get("MM_SERVING_HOST", "modelmesh-serving:8033") - # MM_MODEL_NAME = os.environ.get("MM_MODEL_NAME", "ansible-model-pinger") - - # SLEEP_TIME = os.environ.get("SLEEP_TIME", "3") - # SLEEP_TIME = int(SLEEP_TIME) - - - # while True: - # now = datetime.now() - # time_string = now.strftime("%Y-%m-%d %H:%M:%S") - - # print("--------------------------------------") - # print("Sending Request at",time_string) - - # start = time.time() - # try: - # random_dist = round(random.uniform(0, 50), 2) - # data = [random_dist, 1.9459399775518593, 1.0, 0.0, 0.0] - # print("Data sent to model ("+deployed_model_name+"):") - # print(data) - - # # Start the timer - # start_time = time.time() - - # prediction = rest_request(data) - - # # End the timer - # end_time = time.time() - - # # Calculate the elapsed time in milliseconds - # response_time_ms = (end_time - start_time) * 1000 - - # # prediction - # print("Likelyhood of fraud") - # print(str(prediction[0]*100)+"%") - - # print("Prediction took ", response_time_ms, "milliseconds") - - # except Exception as e: - # print(f"Errored after {time.time() - start}s: {e}") - - # time.sleep(SLEEP_TIME) \ No newline at end of file diff --git a/bootstrap/ic-shared-img-det/project.yaml b/bootstrap/ic-shared-img-det/project.yaml deleted file mode 100644 index f0a9c731..00000000 --- a/bootstrap/ic-shared-img-det/project.yaml +++ /dev/null @@ -1,14 +0,0 @@ ---- -apiVersion: project.openshift.io/v1 -kind: Project -metadata: - annotations: - openshift.io/description: Project created to demonstrate custom serving runtime - openshift.io/display-name: Shared Image Detection Model - argocd.argoproj.io/sync-wave: "0" - argocd.argoproj.io/managed-by: openshift-gitops - labels: - kubernetes.io/metadata.name: ic-shared-img-det - modelmesh-enabled: "true" - opendatahub.io/dashboard: "true" - name: ic-shared-img-det diff --git a/bootstrap/ic-shared-img-det/runtime.yaml b/bootstrap/ic-shared-img-det/runtime.yaml deleted file mode 100644 index 4753e594..00000000 --- a/bootstrap/ic-shared-img-det/runtime.yaml +++ /dev/null @@ -1,146 +0,0 @@ -# --- -# apiVersion: serving.kserve.io/v1alpha1 -# kind: ServingRuntime -# metadata: -# annotations: -# enable-auth: "false" -# enable-route: "false" -# maxLoadingConcurrency: "2" -# opendatahub.io/template-display-name: Triton runtime 23.11 -# opendatahub.io/template-name: triton-23.11-20231217 -# openshift.io/display-name: "Triton 23.11 - added on 20231217" -# argocd.argoproj.io/sync-wave: "3" -# argocd.argoproj.io/sync-options: SkipDryRunOnMissingResource=true -# labels: -# name: triton -# opendatahub.io/dashboard: "true" -# name: triton -# spec: -# builtInAdapter: -# memBufferBytes: 134217728 -# modelLoadingTimeoutMillis: 90000 -# runtimeManagementPort: 8001 -# serverType: triton -# containers: -# - args: -# - -c -# - 'mkdir -p /models/_triton_models; chmod 777 /models/_triton_models; exec tritonserver -# "--model-repository=/models/_triton_models" "--model-control-mode=explicit" -# "--strict-model-config=false" "--strict-readiness=false" "--allow-http=true" -# "--allow-sagemaker=false" ' -# command: -# - /bin/sh -# image: nvcr.io/nvidia/tritonserver:23.11-py3 -# livenessProbe: -# exec: -# command: -# - curl -# - --fail -# - --silent -# - --show-error -# - --max-time -# - "9" -# - http://localhost:8000/v2/health/live -# initialDelaySeconds: 5 -# periodSeconds: 30 -# timeoutSeconds: 10 -# name: triton -# resources: -# limits: -# cpu: "1" -# memory: 8Gi -# requests: -# cpu: "1" -# memory: 2Gi -# grpcDataEndpoint: port:8001 -# grpcEndpoint: port:8085 -# multiModel: true -# protocolVersions: -# - grpc-v2 -# replicas: 1 -# supportedModelFormats: -# - autoSelect: true -# name: keras -# version: "2" -# - autoSelect: true -# name: onnx -# version: "1" -# - autoSelect: true -# name: pytorch -# version: "1" -# - autoSelect: true -# name: tensorflow -# version: "1" -# - autoSelect: true -# name: tensorflow -# version: "2" -# - autoSelect: true -# name: tensorrt -# version: "7" ---- -apiVersion: serving.kserve.io/v1alpha1 -kind: ServingRuntime -metadata: - annotations: - enable-route: 'true' - opendatahub.io/accelerator-name: '' - opendatahub.io/template-display-name: OpenVINO Model Server - opendatahub.io/template-name: ovms - openshift.io/display-name: ovms - name: ovms - namespace: ic-shared-img-det - labels: - name: ovms - opendatahub.io/dashboard: 'true' -spec: - supportedModelFormats: - - autoSelect: true - name: openvino_ir - version: opset1 - - autoSelect: true - name: onnx - version: '1' - - autoSelect: true - name: tensorflow - version: '2' - builtInAdapter: - env: - - name: OVMS_FORCE_TARGET_DEVICE - value: AUTO - memBufferBytes: 134217728 - modelLoadingTimeoutMillis: 90000 - runtimeManagementPort: 8888 - serverType: ovms - multiModel: true - containers: - - args: - - '--port=8001' - - '--rest_port=8888' - - '--config_path=/models/model_config_list.json' - - '--file_system_poll_wait_seconds=0' - - '--grpc_bind_address=127.0.0.1' - - '--rest_bind_address=127.0.0.1' - image: >- - quay.io/opendatahub/openvino_model_server@sha256:2cbe8a48ab0bc6fe7fb76919bf33253e83a6218a9c4b486b744c3dcf30679616 - name: ovms - resources: - limits: - cpu: '1' - memory: 1Gi - requests: - cpu: '1' - memory: 1Gi - volumeMounts: - - mountPath: /dev/shm - name: shm - protocolVersions: - - grpc-v1 - grpcEndpoint: 'port:8085' - volumes: - - emptyDir: - medium: Memory - sizeLimit: 2Gi - name: shm - replicas: 1 - tolerations: [] - grpcDataEndpoint: 'port:8001' diff --git a/bootstrap/ic-shared-img-det/setup-serviceaccount.yaml b/bootstrap/ic-shared-img-det/setup-serviceaccount.yaml deleted file mode 100644 index 0fde498c..00000000 --- a/bootstrap/ic-shared-img-det/setup-serviceaccount.yaml +++ /dev/null @@ -1,22 +0,0 @@ ---- -apiVersion: v1 -kind: ServiceAccount -metadata: - name: sa-img-det-gitops-setup - annotations: - argocd.argoproj.io/sync-wave: "1" ---- -apiVersion: rbac.authorization.k8s.io/v1 -kind: ClusterRoleBinding -metadata: - name: sa-img-det-gitops-setup-cluster-reader - annotations: - argocd.argoproj.io/sync-wave: "1" -roleRef: - apiGroup: rbac.authorization.k8s.io - kind: ClusterRole - name: cluster-admin -subjects: -- kind: ServiceAccount - name: sa-img-det-gitops-setup - namespace: ic-shared-img-det diff --git a/bootstrap/ic-shared-llm/deployment-hftgi.yaml b/bootstrap/ic-shared-llm/deployment-hftgi.yaml deleted file mode 100644 index 32d9d93f..00000000 --- a/bootstrap/ic-shared-llm/deployment-hftgi.yaml +++ /dev/null @@ -1,107 +0,0 @@ -kind: Deployment -apiVersion: apps/v1 -metadata: - name: llm-flant5 - namespace: ic-shared-llm - labels: - app: llm-flant5 -spec: - replicas: 1 - selector: - matchLabels: - app: llm-flant5 - template: - metadata: - creationTimestamp: null - labels: - app: llm-flant5 - spec: - restartPolicy: Always - schedulerName: default-scheduler - affinity: {} - terminationGracePeriodSeconds: 120 - securityContext: {} - containers: - - resources: - limits: - cpu: '4' - memory: 8Gi - requests: - cpu: '2' - memory: 6Gi - readinessProbe: - httpGet: - path: /health - port: http - scheme: HTTP - timeoutSeconds: 5 - periodSeconds: 30 - successThreshold: 1 - failureThreshold: 3 - terminationMessagePath: /dev/termination-log - name: server - livenessProbe: - httpGet: - path: /health - port: http - scheme: HTTP - timeoutSeconds: 8 - periodSeconds: 100 - successThreshold: 1 - failureThreshold: 3 - env: - - name: MODEL_ID - value: google/flan-t5-large - - name: MAX_INPUT_LENGTH - value: '416' - - name: MAX_TOTAL_TOKENS - value: '512' - - name: HUGGINGFACE_HUB_CACHE - value: /models-cache - - name: PORT - value: '3000' - - name: HOSTNAME - value: '0.0.0.0' - securityContext: - capabilities: - drop: - - ALL - runAsNonRoot: true - allowPrivilegeEscalation: false - seccompProfile: - type: RuntimeDefault - ports: - - name: http - containerPort: 3000 - protocol: TCP - imagePullPolicy: IfNotPresent - startupProbe: - httpGet: - path: /health - port: http - scheme: HTTP - timeoutSeconds: 1 - periodSeconds: 30 - successThreshold: 1 - failureThreshold: 24 - initialDelaySeconds: 60 - volumeMounts: - - name: models-cache - mountPath: /models-cache - - name: shm - mountPath: /dev/shm - terminationMessagePolicy: File - image: 'ghcr.io/huggingface/text-generation-inference:1.3' - volumes: - - name: models-cache - persistentVolumeClaim: - claimName: models-cache-hftgi - - name: shm - emptyDir: - medium: Memory - sizeLimit: 1Gi - dnsPolicy: ClusterFirst - strategy: - type: Recreate - revisionHistoryLimit: 10 - progressDeadlineSeconds: 600 \ No newline at end of file diff --git a/bootstrap/ic-shared-llm/deployment.yaml b/bootstrap/ic-shared-llm/deployment.yaml deleted file mode 100644 index 973cc7ce..00000000 --- a/bootstrap/ic-shared-llm/deployment.yaml +++ /dev/null @@ -1,111 +0,0 @@ -kind: Deployment -apiVersion: apps/v1 -metadata: - name: llm - namespace: ic-shared-llm - labels: - app: llm -spec: - replicas: 1 - selector: - matchLabels: - app: llm - template: - metadata: - creationTimestamp: null - labels: - app: llm - spec: - restartPolicy: Always - schedulerName: default-scheduler - affinity: {} - terminationGracePeriodSeconds: 120 - securityContext: {} - containers: - - resources: - limits: - cpu: '8' - memory: 24Gi - nvidia.com/gpu: '1' - requests: - cpu: '6' - readinessProbe: - httpGet: - path: /health - port: http - scheme: HTTP - timeoutSeconds: 5 - periodSeconds: 30 - successThreshold: 1 - failureThreshold: 3 - terminationMessagePath: /dev/termination-log - name: server - livenessProbe: - httpGet: - path: /health - port: http - scheme: HTTP - timeoutSeconds: 8 - periodSeconds: 100 - successThreshold: 1 - failureThreshold: 3 - env: - - name: HUGGING_FACE_HUB_TOKEN - valueFrom: - secretKeyRef: - name: hftoken - key: token - args: [ - "--model", - "mistralai/Mistral-7B-Instruct-v0.2", - "--download-dir", - "/models-cache", - "--dtype", "float16", - "--max-model-len", "6144" ] - securityContext: - capabilities: - drop: - - ALL - runAsNonRoot: true - allowPrivilegeEscalation: false - seccompProfile: - type: RuntimeDefault - ports: - - name: http - containerPort: 8000 - protocol: TCP - imagePullPolicy: IfNotPresent - startupProbe: - httpGet: - path: /health - port: http - scheme: HTTP - timeoutSeconds: 1 - periodSeconds: 30 - successThreshold: 1 - failureThreshold: 24 - initialDelaySeconds: 60 - volumeMounts: - - name: models-cache - mountPath: /models-cache - - name: shm - mountPath: /dev/shm - terminationMessagePolicy: File - image: 'quay.io/rh-aiservices-bu/vllm-openai-ubi9:0.4.0' - volumes: - - name: models-cache - persistentVolumeClaim: - claimName: models-cache - - name: shm - emptyDir: - medium: Memory - sizeLimit: 1Gi - dnsPolicy: ClusterFirst - tolerations: - - key: nvidia.com/gpu - operator: Exists - effect: NoSchedule - strategy: - type: Recreate - revisionHistoryLimit: 10 - progressDeadlineSeconds: 600 \ No newline at end of file diff --git a/bootstrap/ic-shared-llm/fix-odf-config.yaml b/bootstrap/ic-shared-llm/fix-odf-config.yaml deleted file mode 100644 index c2e6284a..00000000 --- a/bootstrap/ic-shared-llm/fix-odf-config.yaml +++ /dev/null @@ -1,10 +0,0 @@ -kind: ConfigMap -apiVersion: v1 -metadata: - name: rook-ceph-operator-config - namespace: openshift-storage -data: - CSI_PLUGIN_TOLERATIONS: | - - key: nvidia.com/gpu - operator: Exists - effect: NoSchedule diff --git a/bootstrap/ic-shared-llm/kustomization.yaml b/bootstrap/ic-shared-llm/kustomization.yaml deleted file mode 100644 index 46daabff..00000000 --- a/bootstrap/ic-shared-llm/kustomization.yaml +++ /dev/null @@ -1,20 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization - -commonLabels: - component: ic-shared-llm - -resources: -# wave 0 -- namespace.yaml -- fix-odf-config.yaml -- token.yaml -# wave 1 -- pvc.yaml -- pvc-hftgi.yaml -- deployment.yaml -- service.yaml -- deployment-hftgi.yaml -- service-hftgi.yaml -# wave 2 diff --git a/bootstrap/ic-shared-llm/namespace.yaml b/bootstrap/ic-shared-llm/namespace.yaml deleted file mode 100644 index 78efba5b..00000000 --- a/bootstrap/ic-shared-llm/namespace.yaml +++ /dev/null @@ -1,11 +0,0 @@ ---- -apiVersion: v1 -kind: Namespace -metadata: - name: ic-shared-llm - labels: - app: ic-shared-llm - argocd.argoproj.io/managed-by: openshift-gitops - annotations: - openshift.io/display-name: "Shared LLM" - argocd.argoproj.io/sync-wave: "0" diff --git a/bootstrap/ic-shared-llm/pvc-hftgi.yaml b/bootstrap/ic-shared-llm/pvc-hftgi.yaml deleted file mode 100644 index 0a1950bb..00000000 --- a/bootstrap/ic-shared-llm/pvc-hftgi.yaml +++ /dev/null @@ -1,18 +0,0 @@ ---- -apiVersion: v1 -kind: PersistentVolumeClaim -metadata: - name: models-cache-hftgi - namespace: ic-shared-llm - labels: - app: ic-shared-llm - annotations: - argocd.argoproj.io/sync-wave: "0" -spec: - accessModes: - - ReadWriteMany - resources: - requests: - storage: 10Gi - storageClassName: ocs-storagecluster-cephfs - volumeMode: Filesystem \ No newline at end of file diff --git a/bootstrap/ic-shared-llm/pvc.yaml b/bootstrap/ic-shared-llm/pvc.yaml deleted file mode 100644 index be8f7a86..00000000 --- a/bootstrap/ic-shared-llm/pvc.yaml +++ /dev/null @@ -1,18 +0,0 @@ ---- -apiVersion: v1 -kind: PersistentVolumeClaim -metadata: - name: models-cache - namespace: ic-shared-llm - labels: - app: ic-shared-llm - annotations: - argocd.argoproj.io/sync-wave: "0" -spec: - accessModes: - - ReadWriteMany - resources: - requests: - storage: 50Gi - storageClassName: ocs-storagecluster-cephfs - volumeMode: Filesystem \ No newline at end of file diff --git a/bootstrap/ic-shared-llm/service-hftgi.yaml b/bootstrap/ic-shared-llm/service-hftgi.yaml deleted file mode 100644 index 08b3b8ba..00000000 --- a/bootstrap/ic-shared-llm/service-hftgi.yaml +++ /dev/null @@ -1,21 +0,0 @@ -kind: Service -apiVersion: v1 -metadata: - name: llm-flant5 - namespace: ic-shared-llm - labels: - app: llm-flant5 -spec: - clusterIP: None - ipFamilies: - - IPv4 - ports: - - name: http - protocol: TCP - port: 3000 - targetPort: http - type: ClusterIP - ipFamilyPolicy: SingleStack - sessionAffinity: None - selector: - app: llm-flant5 \ No newline at end of file diff --git a/bootstrap/ic-shared-llm/service.yaml b/bootstrap/ic-shared-llm/service.yaml deleted file mode 100644 index 10a107a9..00000000 --- a/bootstrap/ic-shared-llm/service.yaml +++ /dev/null @@ -1,21 +0,0 @@ -kind: Service -apiVersion: v1 -metadata: - name: llm - namespace: ic-shared-llm - labels: - app: llm -spec: - clusterIP: None - ipFamilies: - - IPv4 - ports: - - name: http - protocol: TCP - port: 8000 - targetPort: http - type: ClusterIP - ipFamilyPolicy: SingleStack - sessionAffinity: None - selector: - app: llm \ No newline at end of file diff --git a/bootstrap/ic-shared-llm/token.yaml b/bootstrap/ic-shared-llm/token.yaml deleted file mode 100644 index 8f369bc5..00000000 --- a/bootstrap/ic-shared-llm/token.yaml +++ /dev/null @@ -1,8 +0,0 @@ -kind: Secret -apiVersion: v1 -metadata: - name: hftoken - namespace: ic-shared-llm -data: - token: aGZfV0ZhcVhUYmFBSmJEbmhjamhYYXRORmFteEtvaEdvU0tOTg== -type: Opaque \ No newline at end of file diff --git a/bootstrap/ic-shared-milvus/backup.tar.gz b/bootstrap/ic-shared-milvus/backup.tar.gz deleted file mode 100644 index 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=H-+S!X#_c&Ao}L#y!Fb5zLu*w^t~fx;mLq*6gt045a9cn>L7v*N zq%?PFm3oN`+(CddF7dhE(hpVd@=2~px>UxlKw#r2Fw0?eaF!Jx@-v2m1GUv=YZv4R}6RlJmn zOLxKbhpC2YE+HQ)o z9RvJ8!_MM7{cE`x4TCk~56tj(r_c#E2Oo=j;>rt7GV4Ft0|E`FA3PRFoZ=A`@OIrl zrhWID!7zF5i%-}wfM(ndZL!e5pL~vrz9tJ?d%WHQ3iRx2e_N;OBFGdt4Lhh)?}=Y^ zaBAlzp`Q+-!&oUWoU~syZ;t$l;_tKdQpW%is4B*1E2{5IF%HV=(u%N7nK4ZQ*))6O zWmXjGHLueMf|Ow2R0M06%4T|t*N6`4boi`tS`|g!DA>$4;A&k+fW|xRLxEHh*ilJy zP}?h|5CcEr=OF}H2sMl8^+_}%>*XNwcln2{4cqPQ{`KB&ox-FhW4vTW)(guS@^cDy z^&6&x?7bf&H=bQ+FsS}*sTQf>vk}T~0?we3Nfm8GSjwhfA zMfG%ma^DcTUjCt;f{cC~+Q_?oGb~G6(mBb|< zaIP~BO=jSxes$aE8Spuc_)+|6tva(@jk9Ds0#4#Fg0@+QHIWFYfw@tYOQlteHAS}O z*!ICk$Is$k=nl2*K!Iju1kBx|(#SdfhP0D(*8q$dN}q9O63O(ICX8el+Z_3;YgUe= z?kR7^k6DP_>s+})XzDQ6UzLT}oRT7DcfyFxDDiXsMbX2pGo_yjJemu5A_j1AUMv)o zT6kXqpm}lDH=8Cr-l15$GG^6x7gBL|2ZKZgl~H3DQ}{&g%s-GJi~)YL368!J`Kr$? z*=P9~jS5%AGN0trcUzQN8MV?%JEnVHX8Nb|4AiGJOsMz~I8&ffgs zjPE?|kx5QXkbO(x-g~}LnV1_zXlWmr?Uz;wh*BO|YrWCX)cLru|9eSAMZdJEGB9#OB>Yb}^n8FJ+g6?%W~gfjO+OQUonX3rPUy&g zEDLlT4pcxP%yB;V#qhT{diBdbTBET&4`- - log: - level: info - console: true - file: - rootPath: "/var/log/milvus-backup/logs" - - http: - simpleResponse: true - - milvus: - address: vectordb-milvus.ic-shared-milvus.svc.cluster.local - port: 19530 - authorizationEnabled: true - tlsMode: 0 - user: "root" - password: "Milvus" - - minio: - storageType: "minio" - address: minio.ic-shared-minio.svc.cluster.local - port: 9000 - accessKeyID: minio - secretAccessKey: minio123 - useSSL: false - useIAM: false - iamEndpoint: "" - bucketName: "milvus-bucket" - rootPath: "file" - backupBucketName: "milvus-backup-bucket" - backupRootPath: "backup" - - backup: - maxSegmentGroupSize: 2G - - parallelism: - backupCollection: 4 - copydata: 128 - restoreCollection: 2 - - keepTempFiles: false - - gcPause: - enable: true - seconds: 7200 - address: http://vectordb-milvus.ic-shared-milvus.svc.cluster.local:9091 - \ No newline at end of file diff --git a/bootstrap/ic-shared-milvus/milvus-backup-deployment.yaml b/bootstrap/ic-shared-milvus/milvus-backup-deployment.yaml deleted file mode 100644 index ac4f3c32..00000000 --- a/bootstrap/ic-shared-milvus/milvus-backup-deployment.yaml +++ /dev/null @@ -1,111 +0,0 @@ -apiVersion: apps/v1 -kind: Deployment -metadata: - name: milvus-backup - annotations: - argocd.argoproj.io/sync-wave: "2" - labels: - app: ic-shared-milvus - argocd.argoproj.io/managed-by: openshift-gitops - component: milvus-backup -spec: - replicas: 1 - selector: - matchLabels: - app: milvus-backup - component: milvus - strategy: - type: Recreate - template: - metadata: - labels: - app: milvus-backup - spec: - initContainers: - - name: wait-for-minio - image: image-registry.openshift-image-registry.svc:5000/openshift/tools:latest - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - echo -n "Waiting for minio pod in ic-shared-minio namespace" - while ! nc -z minio.ic-shared-minio.svc.cluster.local 9000; do - echo -n '.' - sleep 1 - done - echo "Minio pod is running in ic-shared-minio namespace" - - name: wait-for-milvus - image: image-registry.openshift-image-registry.svc:5000/openshift/tools:latest - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - echo -n "Waiting for milvus pod in ic-shared-milvus namespace" - while ! nc -z vectordb-milvus.ic-shared-milvus.svc.cluster.local 19530; do - echo -n '.' - sleep 1 - done - echo "Milvus pod is running in ic-shared-milvus namespace" - containers: - - name: milvus-backup - image: quay.io/rh-aiservices-bu/milvus-backup:v0.4.12 - imagePullPolicy: Always - args: - - server - - '--config=/opt/app-root/src/milvus-backup/configs/backup.yaml' - - '-p' - - '8080' - securityContext: - capabilities: - drop: - - ALL - runAsNonRoot: true - allowPrivilegeEscalation: false - seccompProfile: - type: RuntimeDefault - ports: - - name: http - containerPort: 8080 - protocol: TCP - resources: - limits: - cpu: '2' - memory: 4Gi - requests: - cpu: '1' - memory: 2Gi - readinessProbe: - httpGet: - path: / - port: http - scheme: HTTP - timeoutSeconds: 5 - periodSeconds: 30 - successThreshold: 1 - failureThreshold: 3 - livenessProbe: - httpGet: - path: / - port: http - scheme: HTTP - timeoutSeconds: 8 - periodSeconds: 100 - successThreshold: 1 - failureThreshold: 3 - terminationMessagePath: /dev/termination-log - terminationMessagePolicy: File - volumeMounts: - - name: config-volume - mountPath: /opt/app-root/src/milvus-backup/configs/backup.yaml - subPath: backup.yaml - readOnly: true - restartPolicy: Always - volumes: - - name: config-volume - configMap: - name: milvus-backup-configmap - items: - - key: backup.yaml - path: backup.yaml \ No newline at end of file diff --git a/bootstrap/ic-shared-milvus/milvus-backup-service.yaml b/bootstrap/ic-shared-milvus/milvus-backup-service.yaml deleted file mode 100644 index 06658e0d..00000000 --- a/bootstrap/ic-shared-milvus/milvus-backup-service.yaml +++ /dev/null @@ -1,20 +0,0 @@ ---- -apiVersion: v1 -kind: Service -metadata: - name: milvus-backup - labels: - app.kubernetes.io/name: milvus-backup - argocd.argoproj.io/managed-by: openshift-gitops - annotations: - argocd.argoproj.io/sync-wave: "2" -spec: - type: ClusterIP - ports: - - name: milvus-backup - port: 8080 - protocol: TCP - targetPort: http - selector: - app: milvus-backup - component: milvus diff --git a/bootstrap/ic-shared-milvus/milvus-config.yaml b/bootstrap/ic-shared-milvus/milvus-config.yaml deleted file mode 100644 index 86d76a0e..00000000 --- a/bootstrap/ic-shared-milvus/milvus-config.yaml +++ /dev/null @@ -1,107 +0,0 @@ ---- -apiVersion: v1 -kind: ConfigMap -metadata: - name: vectordb-milvus - labels: - app: ic-shared-milvus - argocd.argoproj.io/managed-by: openshift-gitops - annotations: - argocd.argoproj.io/sync-wave: "1" -data: - default.yaml: |- - # Copyright (C) 2019-2021 Zilliz. All rights reserved. - # - # Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance - # with the License. You may obtain a copy of the License at - # - # http://www.apache.org/licenses/LICENSE-2.0 - # - # Unless required by applicable law or agreed to in writing, software distributed under the License - # is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express - # or implied. See the License for the specific language governing permissions and limitations under the License. - - etcd: - endpoints: - - vectordb-etcd:2379 - - metastore: - type: etcd - - minio: - address: minio.ic-shared-minio.svc.cluster.local - port: 9000 - accessKeyID: minio - secretAccessKey: minio123 - useSSL: false - bucketName: milvus-bucket - rootPath: file - useIAM: false - iamEndpoint: - region: - useVirtualHost: false - - mq: - type: rocksmq - - messageQueue: rocksmq - - rootCoord: - address: localhost - port: 53100 - enableActiveStandby: false # Enable rootcoord active-standby - - proxy: - port: 19530 - internalPort: 19529 - - queryCoord: - address: localhost - port: 19531 - enableActiveStandby: false # Enable querycoord active-standby - - queryNode: - port: 21123 - enableDisk: true # Enable querynode load disk index, and search on disk index - - indexCoord: - address: localhost - port: 31000 - enableActiveStandby: false # Enable indexcoord active-standby - - indexNode: - port: 21121 - enableDisk: true # Enable index node build disk vector index - - dataCoord: - address: localhost - port: 13333 - enableActiveStandby: false # Enable datacoord active-standby - - dataNode: - port: 21124 - - log: - level: info - file: - rootPath: "" - maxSize: 300 - maxAge: 10 - maxBackups: 20 - format: text - - user.yaml: |- - # For example enable rest http for milvus proxy - # proxy: - # http: - # enabled: true - ## Enable tlsMode and set the tls cert and key - # tls: - # serverPemPath: /etc/milvus/certs/tls.crt - # serverKeyPath: /etc/milvus/certs/tls.key - # common: - # security: - # tlsMode: 1 - common: - security: - authorizationEnabled: true \ No newline at end of file diff --git a/bootstrap/ic-shared-milvus/milvus-deployment.yaml b/bootstrap/ic-shared-milvus/milvus-deployment.yaml deleted file mode 100644 index d7cdca77..00000000 --- a/bootstrap/ic-shared-milvus/milvus-deployment.yaml +++ /dev/null @@ -1,259 +0,0 @@ ---- -# Source: milvus/templates/standalone-deployment.yaml -apiVersion: apps/v1 -kind: Deployment -metadata: - name: vectordb-milvus-standalone - labels: - app.kubernetes.io/name: milvus - app.kubernetes.io/instance: vectordb - app.kubernetes.io/version: "2.4.0" - argocd.argoproj.io/managed-by: openshift-gitops - component: "standalone" - annotations: - argocd.argoproj.io/sync-wave: "2" -spec: - replicas: 1 - strategy: - type: Recreate - selector: - matchLabels: - app.kubernetes.io/name: milvus - app.kubernetes.io/instance: vectordb - component: "standalone" - template: - metadata: - labels: - app.kubernetes.io/name: milvus - app.kubernetes.io/instance: vectordb - component: "standalone" - annotations: - checksum/config: 525c25e4e18f4d7ba4c1679a2bb6626f70ce2dd3369bfe106601ee09e8eee274 - spec: - serviceAccountName: default - initContainers: - - name: wait-for-minio - image: image-registry.openshift-image-registry.svc:5000/openshift/tools:latest - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - echo -n "Waiting for minio pod in ic-shared-minio namespace" - while ! nc -z minio.ic-shared-minio.svc.cluster.local 9000; do - echo -n '.' - sleep 1 - done - echo "Minio pod is running in ic-shared-minio namespace" - - name: config - command: - - /cp - - /run-helm.sh,/merge - - /milvus/tools/run-helm.sh,/milvus/tools/merge - image: "milvusdb/milvus-config-tool:v0.1.2" - imagePullPolicy: IfNotPresent - volumeMounts: - - mountPath: /milvus/tools - name: tools - containers: - - name: standalone - image: "quay.io/rh-data-services/milvus-openshift:v2.3.10" - imagePullPolicy: IfNotPresent - args: ["/milvus/tools/run-helm.sh", "milvus", "run", "standalone"] - ports: - - name: milvus - containerPort: 19530 - protocol: TCP - - name: metrics - containerPort: 9091 - protocol: TCP - livenessProbe: - httpGet: - path: /healthz - port: metrics - initialDelaySeconds: 90 - periodSeconds: 30 - timeoutSeconds: 5 - successThreshold: 1 - failureThreshold: 5 - readinessProbe: - httpGet: - path: /healthz - port: metrics - initialDelaySeconds: 90 - periodSeconds: 10 - timeoutSeconds: 5 - successThreshold: 1 - failureThreshold: 5 - resources: {} - env: - volumeMounts: - - mountPath: /milvus/tools - name: tools - - name: milvus-config - mountPath: /milvus/configs/default.yaml - subPath: default.yaml - readOnly: true - - name: milvus-config - mountPath: /milvus/configs/user.yaml - subPath: user.yaml - readOnly: true - - name: milvus-data-disk - mountPath: "/var/lib/milvus" - subPath: - - mountPath: /var/lib/milvus/data - name: disk - volumes: - - emptyDir: {} - name: tools - - name: milvus-config - configMap: - name: vectordb-milvus - - name: milvus-data-disk - persistentVolumeClaim: - claimName: vectordb-milvus - - name: disk - emptyDir: {} ---- -apiVersion: apps/v1 -kind: StatefulSet -metadata: - name: vectordb-etcd - labels: - app.kubernetes.io/name: etcd - app.kubernetes.io/instance: vectordb - argocd.argoproj.io/managed-by: openshift-gitops - annotations: - argocd.argoproj.io/sync-wave: "2" -spec: - replicas: 1 - selector: - matchLabels: - app.kubernetes.io/name: etcd - app.kubernetes.io/instance: vectordb - serviceName: vectordb-etcd-headless - podManagementPolicy: Parallel - updateStrategy: - type: RollingUpdate - template: - metadata: - labels: - app.kubernetes.io/name: etcd - helm.sh/chart: etcd-6.3.3 - app.kubernetes.io/instance: vectordb - app.kubernetes.io/managed-by: Helm - annotations: - spec: - affinity: - podAffinity: - podAntiAffinity: - preferredDuringSchedulingIgnoredDuringExecution: - - podAffinityTerm: - labelSelector: - matchLabels: - app.kubernetes.io/name: etcd - app.kubernetes.io/instance: vectordb - namespaces: - - "ic-shared-milvus" - topologyKey: kubernetes.io/hostname - weight: 1 - nodeAffinity: - securityContext: {} - serviceAccountName: "default" - containers: - - name: etcd - image: docker.io/milvusdb/etcd:3.5.5-r4 - imagePullPolicy: "IfNotPresent" - securityContext: - capabilities: - drop: - - ALL - runAsNonRoot: true - allowPrivilegeEscalation: false - env: - - name: BITNAMI_DEBUG - value: "false" - - name: MY_POD_IP - valueFrom: - fieldRef: - fieldPath: status.podIP - - name: MY_POD_NAME - valueFrom: - fieldRef: - fieldPath: metadata.name - - name: ETCDCTL_API - value: "3" - - name: ETCD_ON_K8S - value: "yes" - - name: ETCD_START_FROM_SNAPSHOT - value: "no" - - name: ETCD_DISASTER_RECOVERY - value: "no" - - name: ETCD_NAME - value: "$(MY_POD_NAME)" - - name: ETCD_DATA_DIR - value: "/bitnami/etcd/data" - - name: ETCD_LOG_LEVEL - value: "info" - - name: ALLOW_NONE_AUTHENTICATION - value: "yes" - - name: ETCD_ADVERTISE_CLIENT_URLS - value: "http://$(MY_POD_NAME).vectordb-etcd-headless.ic-shared-milvus.svc.cluster.local:2379" - - name: ETCD_LISTEN_CLIENT_URLS - value: "http://0.0.0.0:2379" - - name: ETCD_INITIAL_ADVERTISE_PEER_URLS - value: "http://$(MY_POD_NAME).vectordb-etcd-headless.ic-shared-milvus.svc.cluster.local:2380" - - name: ETCD_LISTEN_PEER_URLS - value: "http://0.0.0.0:2380" - - name: ETCD_AUTO_COMPACTION_MODE - value: "revision" - - name: ETCD_AUTO_COMPACTION_RETENTION - value: "1000" - - name: ETCD_QUOTA_BACKEND_BYTES - value: "4294967296" - - name: ETCD_HEARTBEAT_INTERVAL - value: "500" - - name: ETCD_ELECTION_TIMEOUT - value: "2500" - envFrom: - ports: - - name: client - containerPort: 2379 - protocol: TCP - - name: peer - containerPort: 2380 - protocol: TCP - livenessProbe: - exec: - command: - - /opt/bitnami/scripts/etcd/healthcheck.sh - initialDelaySeconds: 60 - periodSeconds: 30 - timeoutSeconds: 10 - successThreshold: 1 - failureThreshold: 5 - readinessProbe: - exec: - command: - - /opt/bitnami/scripts/etcd/healthcheck.sh - initialDelaySeconds: 60 - periodSeconds: 20 - timeoutSeconds: 10 - successThreshold: 1 - failureThreshold: 5 - resources: - limits: {} - requests: {} - volumeMounts: - - name: data - mountPath: /bitnami/etcd - volumes: - volumeClaimTemplates: - - metadata: - name: data - spec: - accessModes: - - "ReadWriteOnce" - resources: - requests: - storage: "10Gi" diff --git a/bootstrap/ic-shared-milvus/milvus-pvc.yaml b/bootstrap/ic-shared-milvus/milvus-pvc.yaml deleted file mode 100644 index 7a8f24eb..00000000 --- a/bootstrap/ic-shared-milvus/milvus-pvc.yaml +++ /dev/null @@ -1,18 +0,0 @@ ---- -apiVersion: v1 -kind: PersistentVolumeClaim -metadata: - name: vectordb-milvus - annotations: - argocd.argoproj.io/sync-wave: "1" - labels: - app.kubernetes.io/name: milvus - app.kubernetes.io/instance: vectordb - app.kubernetes.io/version: "2.4.0" - argocd.argoproj.io/managed-by: openshift-gitops -spec: - accessModes: - - "ReadWriteOnce" - resources: - requests: - storage: 50Gi \ No newline at end of file diff --git a/bootstrap/ic-shared-milvus/milvus-services.yaml b/bootstrap/ic-shared-milvus/milvus-services.yaml deleted file mode 100644 index 35ee0581..00000000 --- a/bootstrap/ic-shared-milvus/milvus-services.yaml +++ /dev/null @@ -1,79 +0,0 @@ ---- -apiVersion: v1 -kind: Service -metadata: - name: vectordb-etcd-headless - labels: - app.kubernetes.io/name: etcd - app.kubernetes.io/instance: vectordb - argocd.argoproj.io/managed-by: openshift-gitops - annotations: - service.alpha.kubernetes.io/tolerate-unready-endpoints: "true" - argocd.argoproj.io/sync-wave: "2" -spec: - type: ClusterIP - clusterIP: None - publishNotReadyAddresses: true - ports: - - name: "client" - port: 2379 - targetPort: client - - name: "peer" - port: 2380 - targetPort: peer - selector: - app.kubernetes.io/name: etcd - app.kubernetes.io/instance: vectordb ---- -apiVersion: v1 -kind: Service -metadata: - name: vectordb-etcd - labels: - app.kubernetes.io/name: etcd - app.kubernetes.io/instance: vectordb - argocd.argoproj.io/managed-by: openshift-gitops - annotations: - argocd.argoproj.io/sync-wave: "2" -spec: - type: ClusterIP - ports: - - name: "client" - port: 2379 - targetPort: client - nodePort: null - - name: "peer" - port: 2380 - targetPort: peer - nodePort: null - selector: - app.kubernetes.io/name: etcd - app.kubernetes.io/instance: vectordb ---- -apiVersion: v1 -kind: Service -metadata: - name: vectordb-milvus - labels: - app.kubernetes.io/name: milvus - app.kubernetes.io/instance: vectordb - app.kubernetes.io/version: "2.4.0" - argocd.argoproj.io/managed-by: openshift-gitops - component: "standalone" - annotations: - argocd.argoproj.io/sync-wave: "2" -spec: - type: ClusterIP - ports: - - name: milvus - port: 19530 - protocol: TCP - targetPort: milvus - - name: metrics - protocol: TCP - port: 9091 - targetPort: metrics - selector: - app.kubernetes.io/name: milvus - app.kubernetes.io/instance: vectordb - component: "standalone" \ No newline at end of file diff --git a/bootstrap/ic-shared-milvus/namespace.yml b/bootstrap/ic-shared-milvus/namespace.yml deleted file mode 100644 index 3c854f48..00000000 --- a/bootstrap/ic-shared-milvus/namespace.yml +++ /dev/null @@ -1,11 +0,0 @@ ---- -apiVersion: v1 -kind: Namespace -metadata: - name: ic-shared-milvus - labels: - app: ic-shared-milvus - argocd.argoproj.io/managed-by: openshift-gitops - annotations: - openshift.io/display-name: "Milvus" - argocd.argoproj.io/sync-wave: "0" diff --git a/bootstrap/ic-shared-milvus/restore-collection.yaml b/bootstrap/ic-shared-milvus/restore-collection.yaml deleted file mode 100644 index f8f5a291..00000000 --- a/bootstrap/ic-shared-milvus/restore-collection.yaml +++ /dev/null @@ -1,111 +0,0 @@ ---- -apiVersion: batch/v1 -kind: Job -metadata: - name: restore-collection - annotations: - argocd.argoproj.io/sync-wave: "3" - argocd.argoproj.io/hook: Sync - argocd.argoproj.io/hook-delete-policy: BeforeHookCreation -spec: - backoffLimit: 4 - template: - spec: - initContainers: - - name: wait-for-milvus-backup - image: image-registry.openshift-image-registry.svc:5000/openshift/tools:latest - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - echo -n "Waiting for milvus-backup pod in ic-shared-milvus namespace" - while ! nc -z milvus-backup.ic-shared-milvus.svc.cluster.local 8080; do - echo -n '.' - sleep 1 - done - echo "Milvus-backup pod is running in ic-shared-milvus namespace" - containers: - - name: add-model - image: image-registry.openshift-image-registry.svc:5000/redhat-ods-applications/s2i-generic-data-science-notebook:1.2 - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - # Retrieve the backup from the S3 bucket - curl -LO https://rhods-public.s3.amazonaws.com/parasol-insurance-handbook-backup/backup.tar.gz - mkdir -p backup && tar xvzf backup.tar.gz -C ./backup - - # Install the pymilvus package - pip install -q pymilvus==2.3.7 - - cat << 'EOF' | python3 - import boto3, os, requests - from pymilvus import MilvusClient - - # Connect to the object storage - s3 = boto3.client("s3", - endpoint_url="http://minio.ic-shared-minio.svc.cluster.local:9000", - aws_access_key_id="minio", - aws_secret_access_key="minio123") - - # Create the milvus buckets - milvus_bucket_name = "milvus-bucket" - if milvus_bucket_name not in [bu["Name"] for bu in s3.list_buckets()["Buckets"]]: - s3.create_bucket(Bucket=milvus_bucket_name) - - milvus_backup_bucket_name = "milvus-backup-bucket" - if milvus_backup_bucket_name not in [bu["Name"] for bu in s3.list_buckets()["Buckets"]]: - s3.create_bucket(Bucket=milvus_backup_bucket_name) - - def upload_to_s3(bucket_name, directory_name): - - for root, dirs, files in os.walk(directory_name): - for file in files: - s3.upload_file(os.path.join(root, file), bucket_name, os.path.join(root, file).lstrip('/')) - - # Upload the backup to the S3 bucket - upload_to_s3('milvus-backup-bucket', 'backup') - - # Restore the collection from the backup - url = 'http://milvus-backup.ic-shared-milvus.svc.cluster.local:8080/api/v1/restore' - headers = {'Content-Type': 'application/json'} - data = { - "async": True, - "collection_names": [ - "california_driver_handbook_1_0" - ], - "backup_name": "california_driver_handbook_1_0" - } - - response = requests.post(url, headers=headers, json=data) - - client = MilvusClient( - uri="http://vectordb-milvus.ic-shared-milvus.svc.cluster.local:19530", - token="root:Milvus", - db_name="default" - ) - - # Create the index - index_params = client.prepare_index_params() - - index_params.add_index( - field_name="vector", - index_type="AUTOINDEX", - metric_type="L2", - params={} - ) - - client.create_index( - collection_name='california_driver_handbook_1_0', - index_params=index_params - ) - - client.load_collection( - collection_name='california_driver_handbook_1_0' - ) - - EOF - - restartPolicy: Never diff --git a/bootstrap/ic-shared-minio/create-buckets.yaml b/bootstrap/ic-shared-minio/create-buckets.yaml deleted file mode 100644 index b243c959..00000000 --- a/bootstrap/ic-shared-minio/create-buckets.yaml +++ /dev/null @@ -1,68 +0,0 @@ ---- -apiVersion: batch/v1 -kind: Job -metadata: - name: create-buckets - annotations: - argocd.argoproj.io/sync-wave: "3" - argocd.argoproj.io/hook: Sync - argocd.argoproj.io/hook-delete-policy: BeforeHookCreation -spec: - backoffLimit: 4 - template: - spec: - serviceAccount: minio-manage - serviceAccountName: minio-manage - initContainers: - - name: wait-for-minio - image: image-registry.openshift-image-registry.svc:5000/openshift/tools:latest - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - echo -n "Waiting for minio pod in ic-shared-minio namespace" - while [ -z "$(oc get pod -n ic-shared-minio -l app=minio -o name 2>/dev/null)" ]; do - echo -n '.' - sleep 1 - done - echo "Minio pod is running in ic-shared-minio namespace" - containers: - - name: add-model - image: image-registry.openshift-image-registry.svc:5000/redhat-ods-applications/s2i-generic-data-science-notebook:1.2 - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - curl -LO https://rhods-public.s3.amazonaws.com/demo-models/ic-models/accident/accident_detect.onnx - - cat << 'EOF' | python3 - import boto3, os - - s3 = boto3.client("s3", - endpoint_url=os.getenv("AWS_S3_ENDPOINT"), - aws_access_key_id=os.getenv("AWS_ACCESS_KEY_ID"), - aws_secret_access_key=os.getenv("AWS_SECRET_ACCESS_KEY")) - - # Create user buckets - for i in range(1, 101): - bucket_name = f"user{i}" - if bucket_name not in [bu["Name"] for bu in s3.list_buckets()["Buckets"]]: - s3.create_bucket(Bucket=bucket_name) - - # Create the models bucket - models_bucket_name = "models" - if models_bucket_name not in [bu["Name"] for bu in s3.list_buckets()["Buckets"]]: - s3.create_bucket(Bucket=models_bucket_name) - - # uploading to minio - filename = "accident_detect.onnx" - with open(filename, "rb") as f: - s3.upload_fileobj(f, "models", f'accident/{filename}') - - EOF - envFrom: - - secretRef: - name: aws-connection-minio - restartPolicy: Never diff --git a/bootstrap/ic-shared-minio/create-data-connection.yml b/bootstrap/ic-shared-minio/create-data-connection.yml deleted file mode 100644 index 14cc7af3..00000000 --- a/bootstrap/ic-shared-minio/create-data-connection.yml +++ /dev/null @@ -1,55 +0,0 @@ ---- -apiVersion: batch/v1 -kind: Job -metadata: - name: create-data-connection - # generateName: create-dc- - annotations: - argocd.argoproj.io/sync-wave: "2" - argocd.argoproj.io/hook: Sync - argocd.argoproj.io/hook-delete-policy: BeforeHookCreation -spec: - backoffLimit: 4 - template: - spec: - serviceAccount: minio-manage - serviceAccountName: minio-manage - containers: - - name: create-data-connection - image: image-registry.openshift-image-registry.svc:5000/openshift/tools:latest - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - echo -n "Waiting for minio-root-user to exist" - while [ -z "$(oc get secret -n ic-shared-minio minio-root-user -oname 2>/dev/null)" ]; do - echo -n '.' - sleep 1 - done; echo - id=$(oc get secret -n ic-shared-minio minio-root-user -ogo-template='{{.data.MINIO_ROOT_USER|base64decode}}') - secret=$(oc get secret -n ic-shared-minio minio-root-user -ogo-template='{{.data.MINIO_ROOT_PASSWORD|base64decode}}') - echo "Minio Console : https://$(oc get route -n ic-shared-minio minio-console -ojsonpath='{.status.ingress[0].host}')/ " - echo "Minio user: ${id}" - echo "Minio pass: ${secret}" - echo "Internal service url: http://minio.ic-shared-minio.svc.cluster.local:9000/" - cat << EOF | oc apply -f- - apiVersion: v1 - kind: Secret - metadata: - name: aws-connection-minio - labels: - opendatahub.io/dashboard: "true" - opendatahub.io/managed: "true" - annotations: - opendatahub.io/connection-type: s3 - openshift.io/display-name: MinIO - type: Opaque - stringData: - AWS_ACCESS_KEY_ID: ${id} - AWS_SECRET_ACCESS_KEY: ${secret} - AWS_DEFAULT_REGION: us - AWS_S3_ENDPOINT: http://minio.ic-shared-minio.svc:9000 - AWS_S3_BUCKET: bucket-placeholder - EOF - restartPolicy: Never diff --git a/bootstrap/ic-shared-minio/create-root-user-job.yml b/bootstrap/ic-shared-minio/create-root-user-job.yml deleted file mode 100644 index 56aadfe9..00000000 --- a/bootstrap/ic-shared-minio/create-root-user-job.yml +++ /dev/null @@ -1,46 +0,0 @@ ---- -apiVersion: batch/v1 -kind: Job -metadata: - name: create-minio-root-user - annotations: - argocd.argoproj.io/sync-wave: "1" -spec: - backoffLimit: 4 - template: - spec: - serviceAccount: minio-manage - serviceAccountName: minio-manage - containers: - - name: create-minio-root-user - image: image-registry.openshift-image-registry.svc:5000/openshift/tools:latest - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - if [ -n "$(oc get secret minio-root-user -oname 2>/dev/null)" ]; then - echo "Secret already exists. Skipping." >&2 - exit 0 - fi - genpass() { - < /dev/urandom tr -dc _A-Z-a-z-0-9 | head -c"${1:-32}" - } - #id=$(genpass 16) - #secret=$(genpass) - - # hard-code id and secret instead - id="minio" - secret="minio123" - - cat << EOF | oc apply -f- - apiVersion: v1 - kind: Secret - metadata: - name: minio-root-user - type: Opqaue - stringData: - MINIO_ROOT_USER: ${id} - MINIO_ROOT_PASSWORD: ${secret} - EOF - restartPolicy: Never diff --git a/bootstrap/ic-shared-minio/deployment.yml b/bootstrap/ic-shared-minio/deployment.yml deleted file mode 100644 index 40e9f444..00000000 --- a/bootstrap/ic-shared-minio/deployment.yml +++ /dev/null @@ -1,53 +0,0 @@ ---- -apiVersion: apps/v1 -kind: Deployment -metadata: - name: minio - labels: - app: minio - annotations: - argocd.argoproj.io/sync-wave: "1" -spec: - replicas: 1 - selector: - matchLabels: - app: minio - strategy: - type: Recreate - template: - metadata: - labels: - app: minio - spec: - containers: - - name: minio - args: - - minio server /data --console-address :9090 - command: - - /bin/bash - - -c - image: quay.io/minio/minio:RELEASE.2023-06-19T19-52-50Z - envFrom: - - secretRef: - name: minio-root-user - ports: - - containerPort: 9000 - protocol: TCP - name: api - - containerPort: 9090 - protocol: TCP - name: console - resources: - requests: - cpu: 200m - memory: 1Gi - limits: - cpu: 2 - memory: 2Gi - volumeMounts: - - mountPath: /data - name: minio - volumes: - - persistentVolumeClaim: - claimName: minio - name: minio diff --git a/bootstrap/ic-shared-minio/kustomization.yml b/bootstrap/ic-shared-minio/kustomization.yml deleted file mode 100644 index 26fe90dc..00000000 --- a/bootstrap/ic-shared-minio/kustomization.yml +++ /dev/null @@ -1,22 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization - -namespace: ic-shared-minio - -commonLabels: - component: minio - -resources: -# wave 0 -- namespace.yml -# wave 1 -- pvc.yml -- serviceaccount.yml -- create-root-user-job.yml -- deployment.yml -- service.yml -- route.yml -# wave 2 -- create-data-connection.yml -- create-buckets.yaml \ No newline at end of file diff --git a/bootstrap/ic-shared-minio/namespace.yml b/bootstrap/ic-shared-minio/namespace.yml deleted file mode 100644 index 043b2d7b..00000000 --- a/bootstrap/ic-shared-minio/namespace.yml +++ /dev/null @@ -1,11 +0,0 @@ ---- -apiVersion: v1 -kind: Namespace -metadata: - name: ic-shared-minio - labels: - app: ic-shared-minio - argocd.argoproj.io/managed-by: openshift-gitops - annotations: - openshift.io/display-name: "MinIO Object Storage" - argocd.argoproj.io/sync-wave: "0" diff --git a/bootstrap/ic-shared-minio/pvc.yml b/bootstrap/ic-shared-minio/pvc.yml deleted file mode 100644 index 9e9c4d1a..00000000 --- a/bootstrap/ic-shared-minio/pvc.yml +++ /dev/null @@ -1,15 +0,0 @@ ---- -apiVersion: v1 -kind: PersistentVolumeClaim -metadata: - name: minio - labels: - app: minio - annotations: - argocd.argoproj.io/sync-wave: "1" -spec: - accessModes: - - ReadWriteOnce - resources: - requests: - storage: 50Gi diff --git a/bootstrap/ic-shared-minio/route.yml b/bootstrap/ic-shared-minio/route.yml deleted file mode 100644 index 9a6409e4..00000000 --- a/bootstrap/ic-shared-minio/route.yml +++ /dev/null @@ -1,40 +0,0 @@ ---- -apiVersion: route.openshift.io/v1 -kind: Route -metadata: - name: minio-console - labels: - app: minio - annotations: - argocd.argoproj.io/sync-wave: "1" -spec: - port: - targetPort: console - tls: - insecureEdgeTerminationPolicy: Redirect - termination: edge - to: - kind: Service - name: minio - weight: 100 - wildcardPolicy: None ---- -apiVersion: route.openshift.io/v1 -kind: Route -metadata: - name: minio-s3 - labels: - app: minio - annotations: - argocd.argoproj.io/sync-wave: "1" -spec: - port: - targetPort: api - tls: - insecureEdgeTerminationPolicy: Redirect - termination: edge - to: - kind: Service - name: minio - weight: 100 - wildcardPolicy: None diff --git a/bootstrap/ic-shared-minio/service.yml b/bootstrap/ic-shared-minio/service.yml deleted file mode 100644 index cd6d54fb..00000000 --- a/bootstrap/ic-shared-minio/service.yml +++ /dev/null @@ -1,21 +0,0 @@ ---- -apiVersion: v1 -kind: Service -metadata: - name: minio - labels: - app: minio - annotations: - argocd.argoproj.io/sync-wave: "1" -spec: - ports: - - name: api - port: 9000 - targetPort: api - - name: console - port: 9090 - targetPort: 9090 - selector: - app: minio - sessionAffinity: None - type: ClusterIP diff --git a/bootstrap/ic-shared-minio/serviceaccount.yml b/bootstrap/ic-shared-minio/serviceaccount.yml deleted file mode 100644 index cdf61f7d..00000000 --- a/bootstrap/ic-shared-minio/serviceaccount.yml +++ /dev/null @@ -1,21 +0,0 @@ ---- -apiVersion: v1 -kind: ServiceAccount -metadata: - name: minio-manage - annotations: - argocd.argoproj.io/sync-wave: "1" ---- -apiVersion: rbac.authorization.k8s.io/v1 -kind: RoleBinding -metadata: - name: minio-secrets - annotations: - argocd.argoproj.io/sync-wave: "1" -roleRef: - apiGroup: rbac.authorization.k8s.io - kind: ClusterRole - name: admin -subjects: -- kind: ServiceAccount - name: minio-manage diff --git a/bootstrap/ic-user-projects/create-projects-and-resources-job.yaml b/bootstrap/ic-user-projects/create-projects-and-resources-job.yaml deleted file mode 100644 index e3b6868b..00000000 --- a/bootstrap/ic-user-projects/create-projects-and-resources-job.yaml +++ /dev/null @@ -1,526 +0,0 @@ -apiVersion: batch/v1 -kind: Job -metadata: - name: create-and-apply-resources - namespace: ic-user-projects - annotations: - argocd.argoproj.io/sync-wave: "1" - argocd.argoproj.io/hook: Sync - argocd.argoproj.io/hook-delete-policy: BeforeHookCreation - argocd.argoproj.io/compare-options: IgnoreExtraneous -spec: - backoffLimit: 4 - template: - spec: - serviceAccount: project-creator - serviceAccountName: project-creator - containers: - - name: create-and-apply-resources - image: image-registry.openshift-image-registry.svc:5000/openshift/tools:latest - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - # Get user count - user_count=$(oc get namespaces | grep showroom | wc -l) - - echo -n 'Waiting for minio-root-user secret' - while [ -z "\$(oc get secret -n ic-shared-minio minio-root-user -oname 2>/dev/null)" ]; do - echo -n . - sleep 5 - done; echo - - echo -n 'Waiting for rhods-dashboard route' - while [ -z "\$(oc get route -n redhat-ods-applications rhods-dashboard -oname 2>/dev/null)" ]; do - echo -n . - sleep 5 - done; echo - - # Get needed variables - MINIO_ROOT_USER=$(oc get secret minio-root-user -n ic-shared-minio -o template --template '{{.data.MINIO_ROOT_USER|base64decode}}') - MINIO_ROOT_PASSWORD=$(oc get secret minio-root-user -n ic-shared-minio -o template --template '{{.data.MINIO_ROOT_PASSWORD|base64decode}}') - MINIO_HOST=https://$(oc get route minio-s3 -n ic-shared-minio -o template --template '{{.spec.host}}') - DASHBOARD_ROUTE=https://$(oc get route rhods-dashboard -n redhat-ods-applications -o jsonpath='{.spec.host}') - - # Define some variables - WORKBENCH_NAME="my-workbench" - WORKBENCH_IMAGE="ic-workbench:2.1.2" - PIPELINE_ENGINE="Tekton" - - for i in $(seq 1 $user_count); - do - # Construct dynamic variables - USER_NAME="user$i" - USER_PROJECT="user$i" - - echo "Generating and apply resources for $USER_NAME..." - - # Create projects - cat << EOF | oc apply -f- - apiVersion: project.openshift.io/v1 - kind: Project - metadata: - annotations: - openshift.io/description: '' - openshift.io/display-name: $USER_PROJECT - labels: - kubernetes.io/metadata.name: $USER_PROJECT - # modelmesh-enabled: 'true' - opendatahub.io/dashboard: 'true' - name: $USER_PROJECT - spec: - finalizers: - - kubernetes - EOF - - # Apply role bindings - cat << EOF | oc apply -f- - apiVersion: rbac.authorization.k8s.io/v1 - kind: RoleBinding - metadata: - name: admin - namespace: $USER_PROJECT - roleRef: - apiGroup: rbac.authorization.k8s.io - kind: ClusterRole - name: admin - subjects: - - apiGroup: rbac.authorization.k8s.io - kind: User - name: $USER_NAME - --- - apiVersion: v1 - kind: ServiceAccount - metadata: - name: demo-setup - namespace: $USER_PROJECT - --- - apiVersion: rbac.authorization.k8s.io/v1 - kind: RoleBinding - metadata: - name: demo-setup-edit - namespace: $USER_PROJECT - roleRef: - apiGroup: rbac.authorization.k8s.io - kind: ClusterRole - name: edit - subjects: - - kind: ServiceAccount - name: demo-setup - --- - kind: ClusterRoleBinding - apiVersion: rbac.authorization.k8s.io/v1 - metadata: - name: demo-setup-route-reader-binding-$USER_PROJECT - subjects: - - kind: ServiceAccount - name: demo-setup - namespace: $USER_PROJECT - roleRef: - kind: ClusterRole - name: route-reader - apiGroup: rbac.authorization.k8s.io - --- - kind: RoleBinding - apiVersion: rbac.authorization.k8s.io/v1 - metadata: - name: elyra-pipelines-$WORKBENCH_NAME - namespace: $USER_PROJECT - labels: - opendatahub.io/dashboard: 'true' - subjects: - - kind: ServiceAccount - name: $WORKBENCH_NAME - roleRef: - apiGroup: rbac.authorization.k8s.io - kind: Role - name: ds-pipeline-user-access-pipelines-definition - EOF - - # Create Data Science Connections - cat << EOF | oc apply -f- - apiVersion: batch/v1 - kind: Job - metadata: - name: create-ds-connections - namespace: $USER_PROJECT - spec: - selector: {} - template: - spec: - containers: - - args: - - -ec - - |- - echo "Minio user: $MINIO_ROOT_USER" - echo "Minio pass: $MINIO_ROOT_PASSWORD" - echo "Internal service url: http://minio.ic-shared-minio.svc.cluster.local:9000/" - cat << EOF | oc apply -f- - apiVersion: v1 - kind: Secret - metadata: - name: aws-connection-shared-minio---pipelines - labels: - opendatahub.io/dashboard: "true" - opendatahub.io/managed: "true" - annotations: - opendatahub.io/connection-type: s3 - openshift.io/display-name: Shared Minio - pipelines - type: Opaque - stringData: - AWS_ACCESS_KEY_ID: $MINIO_ROOT_USER - AWS_SECRET_ACCESS_KEY: $MINIO_ROOT_PASSWORD - AWS_DEFAULT_REGION: us - AWS_S3_ENDPOINT: http://minio.ic-shared-minio.svc:9000 - AWS_S3_BUCKET: $USER_NAME - EOF - command: - - /bin/bash - image: quay.io/openshift-release-dev/ocp-v4.0-art-dev@sha256:95b359257a7716b5f8d3a672081a84600218d8f58ca720f46229f7bb893af2ab - imagePullPolicy: IfNotPresent - name: create-ds-connections - restartPolicy: Never - serviceAccount: demo-setup - serviceAccountName: demo-setup - EOF - - # Set up the pipeline server - cat << EOF | oc apply -f- - apiVersion: datasciencepipelinesapplications.opendatahub.io/v1alpha1 - kind: DataSciencePipelinesApplication - metadata: - finalizers: - - datasciencepipelinesapplications.opendatahub.io/finalizer - name: pipelines-definition - namespace: $USER_PROJECT - spec: - apiServer: - applyTektonCustomResource: true - archiveLogs: false - autoUpdatePipelineDefaultVersion: true - collectMetrics: true - dbConfigConMaxLifetimeSec: 120 - deploy: true - enableOauth: true - enableSamplePipeline: false - injectDefaultScript: true - stripEOF: true - terminateStatus: Cancelled - trackArtifacts: true - database: - mariaDB: - deploy: true - pipelineDBName: mlpipeline - pvcSize: 10Gi - username: mlpipeline - objectStorage: - externalStorage: - bucket: $USER_NAME - host: minio.ic-shared-minio.svc.cluster.local:9000 - port: '' - s3CredentialsSecret: - accessKey: AWS_ACCESS_KEY_ID - secretKey: AWS_SECRET_ACCESS_KEY - secretName: aws-connection-shared-minio---pipelines - scheme: http - secure: false - persistenceAgent: - deploy: true - numWorkers: 2 - scheduledWorkflow: - cronScheduleTimezone: UTC - deploy: true - EOF - - # Create the Elyra secret - cat << EOF | oc apply -f- - apiVersion: batch/v1 - kind: Job - metadata: - name: create-pipeline-secret - namespace: $USER_PROJECT - spec: - selector: {} - template: - spec: - containers: - - args: - - -ec - - |- - echo -n 'Waiting for ds-pipeline-pipelines-definition route' - while ! oc get route ds-pipeline-pipelines-definition 2>/dev/null; do - echo -n . - sleep 5 - done; echo - - PIPELINE_ROUTE=https://\$(oc get route ds-pipeline-pipelines-definition -o jsonpath='{.spec.host}') - - cat << EOF | oc apply -f- - apiVersion: v1 - kind: Secret - metadata: - name: ds-pipeline-config - namespace: $USER_PROJECT - stringData: - odh_dsp.json: '{"display_name": "Data Science Pipeline", "metadata": {"tags": [], - "display_name": "Data Science Pipeline", "engine": "$PIPELINE_ENGINE", "auth_type": "KUBERNETES_SERVICE_ACCOUNT_TOKEN", - "api_endpoint": "\$PIPELINE_ROUTE", - "public_api_endpoint": "$DASHBOARD_ROUTE/pipelineRuns/$USER_PROJECT/pipelineRun/view/", - "cos_auth_type": "KUBERNETES_SECRET", "cos_secret": "aws-connection-shared-minio---pipelines", - "cos_endpoint": "$MINIO_HOST", "cos_bucket": "$USER_NAME", - "cos_username": "$MINIO_ROOT_USER", "cos_password": "$MINIO_ROOT_PASSWORD", - "runtime_type": "KUBEFLOW_PIPELINES"}, "schema_name": "kfp"}' - type: Opaque - EOF - command: - - /bin/bash - image: quay.io/openshift-release-dev/ocp-v4.0-art-dev@sha256:95b359257a7716b5f8d3a672081a84600218d8f58ca720f46229f7bb893af2ab - imagePullPolicy: IfNotPresent - name: create-ds-connections - restartPolicy: Never - serviceAccount: demo-setup - serviceAccountName: demo-setup - EOF - - # Create the workbench PVC - cat << EOF | oc apply -f- - kind: PersistentVolumeClaim - apiVersion: v1 - metadata: - annotations: - openshift.io/description: '' - openshift.io/display-name: My Workbench - volume.beta.kubernetes.io/storage-provisioner: openshift-storage.rbd.csi.ceph.com - volume.kubernetes.io/storage-provisioner: openshift-storage.rbd.csi.ceph.com - name: $WORKBENCH_NAME - namespace: $USER_PROJECT - finalizers: - - kubernetes.io/pvc-protection - labels: - opendatahub.io/dashboard: 'true' - spec: - accessModes: - - ReadWriteOnce - resources: - requests: - storage: 5Gi - storageClassName: ocs-storagecluster-ceph-rbd - volumeMode: Filesystem - EOF - - # Create the workbench - cat << EOF | oc apply -f- - apiVersion: kubeflow.org/v1 - kind: Notebook - metadata: - annotations: - notebooks.opendatahub.io/inject-oauth: 'true' - opendatahub.io/image-display-name: CUSTOM - Insurance Claim Processing Lab Workbench - notebooks.opendatahub.io/oauth-logout-url: >- - $DASHBOARD_ROUTE/projects/$USER_PROJECT?notebookLogout=$WORKBENCH_NAME - opendatahub.io/accelerator-name: '' - openshift.io/description: '' - openshift.io/display-name: My Workbench - notebooks.opendatahub.io/last-image-selection: '$WORKBENCH_IMAGE' - notebooks.opendatahub.io/last-size-selection: Standard - opendatahub.io/username: $USER_NAME - name: $WORKBENCH_NAME - namespace: $USER_PROJECT - labels: - app: $WORKBENCH_NAME - opendatahub.io/dashboard: 'true' - opendatahub.io/odh-managed: 'true' - opendatahub.io/user: $USER_NAME - spec: - template: - spec: - affinity: {} - containers: - - resources: - limits: - cpu: '2' - memory: 8Gi - requests: - cpu: '1' - memory: 6Gi - readinessProbe: - failureThreshold: 3 - httpGet: - path: /notebook/$USER_PROJECT/$WORKBENCH_NAME/api - port: notebook-port - scheme: HTTP - initialDelaySeconds: 10 - periodSeconds: 5 - successThreshold: 1 - timeoutSeconds: 1 - name: $WORKBENCH_NAME - livenessProbe: - failureThreshold: 3 - httpGet: - path: /notebook/$USER_PROJECT/$WORKBENCH_NAME/api - port: notebook-port - scheme: HTTP - initialDelaySeconds: 10 - periodSeconds: 5 - successThreshold: 1 - timeoutSeconds: 1 - env: - - name: NOTEBOOK_ARGS - value: |- - --ServerApp.port=8888 - --ServerApp.token='' - --ServerApp.password='' - --ServerApp.base_url=/notebook/$USER_PROJECT/$WORKBENCH_NAME - --ServerApp.quit_button=False - --ServerApp.tornado_settings={"user":"$USER_NAME","hub_host":"$DASHBOARD_ROUTE","hub_prefix":"/projects/$USER_PROJECT"} - - name: JUPYTER_IMAGE - value: >- - image-registry.openshift-image-registry.svc:5000/redhat-ods-applications/$WORKBENCH_IMAGE - ports: - - containerPort: 8888 - name: notebook-port - protocol: TCP - imagePullPolicy: Always - volumeMounts: - - mountPath: /opt/app-root/src - name: $WORKBENCH_NAME - - mountPath: /opt/app-root/runtimes - name: elyra-dsp-details - - mountPath: /dev/shm - name: shm - image: >- - image-registry.openshift-image-registry.svc:5000/redhat-ods-applications/$WORKBENCH_IMAGE - workingDir: /opt/app-root/src - - resources: - limits: - cpu: 100m - memory: 64Mi - requests: - cpu: 100m - memory: 64Mi - readinessProbe: - failureThreshold: 3 - httpGet: - path: /oauth/healthz - port: oauth-proxy - scheme: HTTPS - initialDelaySeconds: 5 - periodSeconds: 5 - successThreshold: 1 - timeoutSeconds: 1 - name: oauth-proxy - livenessProbe: - failureThreshold: 3 - httpGet: - path: /oauth/healthz - port: oauth-proxy - scheme: HTTPS - initialDelaySeconds: 30 - periodSeconds: 5 - successThreshold: 1 - timeoutSeconds: 1 - env: - - name: NAMESPACE - valueFrom: - fieldRef: - fieldPath: metadata.namespace - ports: - - containerPort: 8443 - name: oauth-proxy - protocol: TCP - imagePullPolicy: Always - volumeMounts: - - mountPath: /etc/oauth/config - name: oauth-config - - mountPath: /etc/tls/private - name: tls-certificates - image: >- - registry.redhat.io/openshift4/ose-oauth-proxy@sha256:4bef31eb993feb6f1096b51b4876c65a6fb1f4401fee97fa4f4542b6b7c9bc46 - args: - - '--provider=openshift' - - '--https-address=:8443' - - '--http-address=' - - '--openshift-service-account=$WORKBENCH_NAME' - - '--cookie-secret-file=/etc/oauth/config/cookie_secret' - - '--cookie-expire=24h0m0s' - - '--tls-cert=/etc/tls/private/tls.crt' - - '--tls-key=/etc/tls/private/tls.key' - - '--upstream=http://localhost:8888' - - '--upstream-ca=/var/run/secrets/kubernetes.io/serviceaccount/ca.crt' - - '--email-domain=*' - - '--skip-provider-button' - - >- - --openshift-sar={"verb":"get","resource":"notebooks","resourceAPIGroup":"kubeflow.org","resourceName":"$WORKBENCH_IMAGE","namespace":"$USER_PROJECT"} - - >- - --logout-url=$DASHBOARD_ROUTE/projects/$USER_PROJECT?notebookLogout=$WORKBENCH_IMAGE - enableServiceLinks: false - serviceAccountName: $WORKBENCH_NAME - tolerations: - - effect: NoSchedule - key: notebooksonly - operator: Exists - volumes: - - name: $WORKBENCH_NAME - persistentVolumeClaim: - claimName: $WORKBENCH_NAME - - name: elyra-dsp-details - secret: - secretName: ds-pipeline-config - - emptyDir: - medium: Memory - name: shm - - name: oauth-config - secret: - defaultMode: 420 - secretName: $WORKBENCH_NAME-oauth-config - - name: tls-certificates - secret: - defaultMode: 420 - secretName: $WORKBENCH_NAME-tls - readyReplicas: 1 - EOF - - # Git clone job - cat << EOF | oc apply -f- - apiVersion: batch/v1 - kind: Job - metadata: - name: clone-repo - namespace: $USER_PROJECT - spec: - backoffLimit: 4 - template: - spec: - serviceAccount: demo-setup - serviceAccountName: demo-setup - initContainers: - - name: wait-for-workbench - image: image-registry.openshift-image-registry.svc:5000/openshift/tools:latest - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - echo -n "Waiting for workbench pod in $USER_PROJECT namespace" - while [ -z "\$(oc get pods -n $USER_PROJECT -l app=$WORKBENCH_NAME -o custom-columns=STATUS:.status.phase --no-headers | grep Running 2>/dev/null)" ]; do - echo -n '.' - sleep 1 - done - echo "Workbench pod is running in $USER_PROJECT namespace" - containers: - - name: git-clone - image: image-registry.openshift-image-registry.svc:5000/openshift/tools:latest - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - pod_name=\$(oc get pods --selector=app=$WORKBENCH_NAME -o jsonpath='{.items[0].metadata.name}') && oc exec \$pod_name -- git clone https://github.com/rh-aiservices-bu/parasol-insurance - restartPolicy: Never - EOF - - sleep 20 - - done - restartPolicy: Never \ No newline at end of file diff --git a/bootstrap/ic-user-projects/create-projects-and-resources.bash b/bootstrap/ic-user-projects/create-projects-and-resources.bash deleted file mode 100644 index 537a496b..00000000 --- a/bootstrap/ic-user-projects/create-projects-and-resources.bash +++ /dev/null @@ -1,503 +0,0 @@ -#!/bin/bash -# Get user count -user_count=$(oc get namespaces | grep showroom | wc -l) - -echo -n 'Waiting for minio-root-user secret' -while [ -z "\$(oc get secret -n ic-shared-minio minio-root-user -oname 2>/dev/null)" ]; do - echo -n . - sleep 5 -done; echo - -echo -n 'Waiting for rhods-dashboard route' -while [ -z "\$(oc get route -n redhat-ods-applications rhods-dashboard -oname 2>/dev/null)" ]; do - echo -n . - sleep 5 -done; echo - -# Get needed variables -MINIO_ROOT_USER=$(oc get secret minio-root-user -n ic-shared-minio -o template --template '{{.data.MINIO_ROOT_USER|base64decode}}') -MINIO_ROOT_PASSWORD=$(oc get secret minio-root-user -n ic-shared-minio -o template --template '{{.data.MINIO_ROOT_PASSWORD|base64decode}}') -MINIO_HOST=https://$(oc get route minio-s3 -n ic-shared-minio -o template --template '{{.spec.host}}') -DASHBOARD_ROUTE=https://$(oc get route rhods-dashboard -n redhat-ods-applications -o jsonpath='{.spec.host}') - -# Define some variables -WORKBENCH_NAME="my-workbench" -WORKBENCH_IMAGE="ic-workbench:2.1.2" -PIPELINE_ENGINE="Tekton" - -for i in $(seq 1 $user_count); -do - -# Construct dynamic variables -USER_NAME="user$i" -USER_PROJECT="user$i" - -echo "Generating and apply resources for $USER_NAME..." - -# Create projects -cat << EOF | oc apply -f- -apiVersion: project.openshift.io/v1 -kind: Project -metadata: - annotations: - openshift.io/description: '' - openshift.io/display-name: $USER_PROJECT - labels: - kubernetes.io/metadata.name: $USER_PROJECT - # modelmesh-enabled: 'true' - opendatahub.io/dashboard: 'true' - name: $USER_PROJECT -spec: - finalizers: - - kubernetes -EOF - -# Apply role bindings -cat << EOF | oc apply -f- -apiVersion: rbac.authorization.k8s.io/v1 -kind: RoleBinding -metadata: - name: admin - namespace: $USER_PROJECT -roleRef: - apiGroup: rbac.authorization.k8s.io - kind: ClusterRole - name: admin -subjects: -- apiGroup: rbac.authorization.k8s.io - kind: User - name: $USER_NAME ---- -apiVersion: v1 -kind: ServiceAccount -metadata: - name: demo-setup - namespace: $USER_PROJECT ---- -apiVersion: rbac.authorization.k8s.io/v1 -kind: RoleBinding -metadata: - name: demo-setup-edit - namespace: $USER_PROJECT -roleRef: - apiGroup: rbac.authorization.k8s.io - kind: ClusterRole - name: edit -subjects: -- kind: ServiceAccount - name: demo-setup ---- -kind: ClusterRoleBinding -apiVersion: rbac.authorization.k8s.io/v1 -metadata: - name: demo-setup-route-reader-binding-$USER_PROJECT -subjects: -- kind: ServiceAccount - name: demo-setup - namespace: $USER_PROJECT -roleRef: - kind: ClusterRole - name: route-reader - apiGroup: rbac.authorization.k8s.io ---- -kind: RoleBinding -apiVersion: rbac.authorization.k8s.io/v1 -metadata: - name: elyra-pipelines-$WORKBENCH_NAME - namespace: $USER_PROJECT - labels: - opendatahub.io/dashboard: 'true' -subjects: - - kind: ServiceAccount - name: $WORKBENCH_NAME -roleRef: - apiGroup: rbac.authorization.k8s.io - kind: Role - name: ds-pipeline-user-access-pipelines-definition -EOF - -# Create Data Science Connections -cat << EOF | oc apply -f- -apiVersion: batch/v1 -kind: Job -metadata: - name: create-ds-connections - namespace: $USER_PROJECT -spec: - selector: {} - template: - spec: - containers: - - args: - - -ec - - |- - echo "Minio user: $MINIO_ROOT_USER" - echo "Minio pass: $MINIO_ROOT_PASSWORD" - echo "Internal service url: http://minio.ic-shared-minio.svc.cluster.local:9000/" - cat << EOF | oc apply -f- - apiVersion: v1 - kind: Secret - metadata: - name: aws-connection-shared-minio---pipelines - labels: - opendatahub.io/dashboard: "true" - opendatahub.io/managed: "true" - annotations: - opendatahub.io/connection-type: s3 - openshift.io/display-name: Shared Minio - pipelines - type: Opaque - stringData: - AWS_ACCESS_KEY_ID: $MINIO_ROOT_USER - AWS_SECRET_ACCESS_KEY: $MINIO_ROOT_PASSWORD - AWS_DEFAULT_REGION: us - AWS_S3_ENDPOINT: http://minio.ic-shared-minio.svc:9000 - AWS_S3_BUCKET: $USER_NAME - EOF - command: - - /bin/bash - image: quay.io/openshift-release-dev/ocp-v4.0-art-dev@sha256:95b359257a7716b5f8d3a672081a84600218d8f58ca720f46229f7bb893af2ab - imagePullPolicy: IfNotPresent - name: create-ds-connections - restartPolicy: Never - serviceAccount: demo-setup - serviceAccountName: demo-setup -EOF - -# Set up the pipeline server -cat << EOF | oc apply -f- -apiVersion: datasciencepipelinesapplications.opendatahub.io/v1alpha1 -kind: DataSciencePipelinesApplication -metadata: - finalizers: - - datasciencepipelinesapplications.opendatahub.io/finalizer - name: pipelines-definition - namespace: $USER_PROJECT -spec: - apiServer: - applyTektonCustomResource: true - archiveLogs: false - autoUpdatePipelineDefaultVersion: true - collectMetrics: true - dbConfigConMaxLifetimeSec: 120 - deploy: true - enableOauth: true - enableSamplePipeline: false - injectDefaultScript: true - stripEOF: true - terminateStatus: Cancelled - trackArtifacts: true - database: - mariaDB: - deploy: true - pipelineDBName: mlpipeline - pvcSize: 10Gi - username: mlpipeline - objectStorage: - externalStorage: - bucket: $USER_NAME - host: minio.ic-shared-minio.svc.cluster.local:9000 - port: '' - s3CredentialsSecret: - accessKey: AWS_ACCESS_KEY_ID - secretKey: AWS_SECRET_ACCESS_KEY - secretName: aws-connection-shared-minio---pipelines - scheme: http - secure: false - persistenceAgent: - deploy: true - numWorkers: 2 - scheduledWorkflow: - cronScheduleTimezone: UTC - deploy: true -EOF - -# Create the Elyra secret -cat << EOF | oc apply -f- -apiVersion: batch/v1 -kind: Job -metadata: - name: create-pipeline-secret - namespace: $USER_PROJECT -spec: - selector: {} - template: - spec: - containers: - - args: - - -ec - - |- - echo -n 'Waiting for ds-pipeline-pipelines-definition route' - while ! oc get route ds-pipeline-pipelines-definition 2>/dev/null; do - echo -n . - sleep 5 - done; echo - - PIPELINE_ROUTE=https://\$(oc get route ds-pipeline-pipelines-definition -o jsonpath='{.spec.host}') - - cat << EOF | oc apply -f- - apiVersion: v1 - kind: Secret - metadata: - name: ds-pipeline-config - namespace: $USER_PROJECT - stringData: - odh_dsp.json: '{"display_name": "Data Science Pipeline", "metadata": {"tags": [], - "display_name": "Data Science Pipeline", "engine": "$PIPELINE_ENGINE", "auth_type": "KUBERNETES_SERVICE_ACCOUNT_TOKEN", - "api_endpoint": "\$PIPELINE_ROUTE", - "public_api_endpoint": "$DASHBOARD_ROUTE/pipelineRuns/$USER_PROJECT/pipelineRun/view/", - "cos_auth_type": "KUBERNETES_SECRET", "cos_secret": "aws-connection-shared-minio---pipelines", - "cos_endpoint": "$MINIO_HOST", "cos_bucket": "$USER_NAME", - "cos_username": "$MINIO_ROOT_USER", "cos_password": "$MINIO_ROOT_PASSWORD", - "runtime_type": "KUBEFLOW_PIPELINES"}, "schema_name": "kfp"}' - type: Opaque - EOF - command: - - /bin/bash - image: quay.io/openshift-release-dev/ocp-v4.0-art-dev@sha256:95b359257a7716b5f8d3a672081a84600218d8f58ca720f46229f7bb893af2ab - imagePullPolicy: IfNotPresent - name: create-ds-connections - restartPolicy: Never - serviceAccount: demo-setup - serviceAccountName: demo-setup -EOF - -# Create the workbench PVC -cat << EOF | oc apply -f- -kind: PersistentVolumeClaim -apiVersion: v1 -metadata: - annotations: - openshift.io/description: '' - openshift.io/display-name: My Workbench - volume.beta.kubernetes.io/storage-provisioner: openshift-storage.rbd.csi.ceph.com - volume.kubernetes.io/storage-provisioner: openshift-storage.rbd.csi.ceph.com - name: $WORKBENCH_NAME - namespace: $USER_PROJECT - finalizers: - - kubernetes.io/pvc-protection - labels: - opendatahub.io/dashboard: 'true' -spec: - accessModes: - - ReadWriteOnce - resources: - requests: - storage: 5Gi - storageClassName: ocs-storagecluster-ceph-rbd - volumeMode: Filesystem -EOF - -# Create the workbench -cat << EOF | oc apply -f- -apiVersion: kubeflow.org/v1 -kind: Notebook -metadata: - annotations: - notebooks.opendatahub.io/inject-oauth: 'true' - opendatahub.io/image-display-name: CUSTOM - Insurance Claim Processing Lab Workbench - notebooks.opendatahub.io/oauth-logout-url: >- - $DASHBOARD_ROUTE/projects/$USER_PROJECT?notebookLogout=$WORKBENCH_NAME - opendatahub.io/accelerator-name: '' - openshift.io/description: '' - openshift.io/display-name: My Workbench - notebooks.opendatahub.io/last-image-selection: '$WORKBENCH_IMAGE' - notebooks.opendatahub.io/last-size-selection: Standard - opendatahub.io/username: $USER_NAME - name: $WORKBENCH_NAME - namespace: $USER_PROJECT - labels: - app: $WORKBENCH_NAME - opendatahub.io/dashboard: 'true' - opendatahub.io/odh-managed: 'true' - opendatahub.io/user: $USER_NAME -spec: - template: - spec: - affinity: {} - containers: - - resources: - limits: - cpu: '2' - memory: 8Gi - requests: - cpu: '1' - memory: 6Gi - readinessProbe: - failureThreshold: 3 - httpGet: - path: /notebook/$USER_PROJECT/$WORKBENCH_NAME/api - port: notebook-port - scheme: HTTP - initialDelaySeconds: 10 - periodSeconds: 5 - successThreshold: 1 - timeoutSeconds: 1 - name: $WORKBENCH_NAME - livenessProbe: - failureThreshold: 3 - httpGet: - path: /notebook/$USER_PROJECT/$WORKBENCH_NAME/api - port: notebook-port - scheme: HTTP - initialDelaySeconds: 10 - periodSeconds: 5 - successThreshold: 1 - timeoutSeconds: 1 - env: - - name: NOTEBOOK_ARGS - value: |- - --ServerApp.port=8888 - --ServerApp.token='' - --ServerApp.password='' - --ServerApp.base_url=/notebook/$USER_PROJECT/$WORKBENCH_NAME - --ServerApp.quit_button=False - --ServerApp.tornado_settings={"user":"$USER_NAME","hub_host":"$DASHBOARD_ROUTE","hub_prefix":"/projects/$USER_PROJECT"} - - name: JUPYTER_IMAGE - value: >- - image-registry.openshift-image-registry.svc:5000/redhat-ods-applications/$WORKBENCH_IMAGE - ports: - - containerPort: 8888 - name: notebook-port - protocol: TCP - imagePullPolicy: Always - volumeMounts: - - mountPath: /opt/app-root/src - name: $WORKBENCH_NAME - - mountPath: /opt/app-root/runtimes - name: elyra-dsp-details - - mountPath: /dev/shm - name: shm - image: >- - image-registry.openshift-image-registry.svc:5000/redhat-ods-applications/$WORKBENCH_IMAGE - workingDir: /opt/app-root/src - - resources: - limits: - cpu: 100m - memory: 64Mi - requests: - cpu: 100m - memory: 64Mi - readinessProbe: - failureThreshold: 3 - httpGet: - path: /oauth/healthz - port: oauth-proxy - scheme: HTTPS - initialDelaySeconds: 5 - periodSeconds: 5 - successThreshold: 1 - timeoutSeconds: 1 - name: oauth-proxy - livenessProbe: - failureThreshold: 3 - httpGet: - path: /oauth/healthz - port: oauth-proxy - scheme: HTTPS - initialDelaySeconds: 30 - periodSeconds: 5 - successThreshold: 1 - timeoutSeconds: 1 - env: - - name: NAMESPACE - valueFrom: - fieldRef: - fieldPath: metadata.namespace - ports: - - containerPort: 8443 - name: oauth-proxy - protocol: TCP - imagePullPolicy: Always - volumeMounts: - - mountPath: /etc/oauth/config - name: oauth-config - - mountPath: /etc/tls/private - name: tls-certificates - image: >- - registry.redhat.io/openshift4/ose-oauth-proxy@sha256:4bef31eb993feb6f1096b51b4876c65a6fb1f4401fee97fa4f4542b6b7c9bc46 - args: - - '--provider=openshift' - - '--https-address=:8443' - - '--http-address=' - - '--openshift-service-account=$WORKBENCH_NAME' - - '--cookie-secret-file=/etc/oauth/config/cookie_secret' - - '--cookie-expire=24h0m0s' - - '--tls-cert=/etc/tls/private/tls.crt' - - '--tls-key=/etc/tls/private/tls.key' - - '--upstream=http://localhost:8888' - - '--upstream-ca=/var/run/secrets/kubernetes.io/serviceaccount/ca.crt' - - '--email-domain=*' - - '--skip-provider-button' - - >- - --openshift-sar={"verb":"get","resource":"notebooks","resourceAPIGroup":"kubeflow.org","resourceName":"$WORKBENCH_IMAGE","namespace":"$USER_PROJECT"} - - >- - --logout-url=$DASHBOARD_ROUTE/projects/$USER_PROJECT?notebookLogout=$WORKBENCH_IMAGE - enableServiceLinks: false - serviceAccountName: $WORKBENCH_NAME - tolerations: - - effect: NoSchedule - key: notebooksonly - operator: Exists - volumes: - - name: $WORKBENCH_NAME - persistentVolumeClaim: - claimName: $WORKBENCH_NAME - - name: elyra-dsp-details - secret: - secretName: ds-pipeline-config - - emptyDir: - medium: Memory - name: shm - - name: oauth-config - secret: - defaultMode: 420 - secretName: $WORKBENCH_NAME-oauth-config - - name: tls-certificates - secret: - defaultMode: 420 - secretName: $WORKBENCH_NAME-tls - readyReplicas: 1 -EOF - -# Git clone job -cat << EOF | oc apply -f- -apiVersion: batch/v1 -kind: Job -metadata: - name: clone-repo - namespace: $USER_PROJECT -spec: - backoffLimit: 4 - template: - spec: - serviceAccount: demo-setup - serviceAccountName: demo-setup - initContainers: - - name: wait-for-workbench - image: image-registry.openshift-image-registry.svc:5000/openshift/tools:latest - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - echo -n "Waiting for workbench pod in $USER_PROJECT namespace" - while [ -z "\$(oc get pods -n $USER_PROJECT -l app=$WORKBENCH_NAME -o custom-columns=STATUS:.status.phase --no-headers | grep Running 2>/dev/null)" ]; do - echo -n '.' - sleep 1 - done - echo "Workbench pod is running in $USER_PROJECT namespace" - containers: - - name: git-clone - image: image-registry.openshift-image-registry.svc:5000/redhat-ods-applications/s2i-generic-data-science-notebook:1.2 - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - pod_name=\$(oc get pods --selector=app=$WORKBENCH_NAME -o jsonpath='{.items[0].metadata.name}') && oc exec \$pod_name -- git clone https://github.com/rh-aiservices-bu/parasol-insurance - restartPolicy: Never -EOF - -sleep 20 - -done \ No newline at end of file diff --git a/bootstrap/ic-user-projects/kustomization.yaml b/bootstrap/ic-user-projects/kustomization.yaml deleted file mode 100644 index 80508f50..00000000 --- a/bootstrap/ic-user-projects/kustomization.yaml +++ /dev/null @@ -1,14 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization - -namespace: ic-user-projects - -commonLabels: - component: projects - -resources: -# wave 0 -- project-manager.yaml -# wave 1 -- create-projects-and-resources-job.yaml \ No newline at end of file diff --git a/bootstrap/ic-user-projects/project-manager.yaml b/bootstrap/ic-user-projects/project-manager.yaml deleted file mode 100644 index 30605497..00000000 --- a/bootstrap/ic-user-projects/project-manager.yaml +++ /dev/null @@ -1,42 +0,0 @@ -apiVersion: v1 -kind: Namespace -metadata: - name: ic-user-projects - labels: - app: ic-user-projects - argocd.argoproj.io/managed-by: openshift-gitops - annotations: - openshift.io/display-name: "Project Manager" - argocd.argoproj.io/sync-wave: "0" ---- -apiVersion: v1 -kind: ServiceAccount -metadata: - name: project-creator - namespace: ic-user-projects ---- -apiVersion: rbac.authorization.k8s.io/v1 -kind: ClusterRoleBinding -metadata: - name: project-creator-binding -subjects: -- kind: ServiceAccount - name: project-creator - namespace: ic-user-projects -roleRef: - apiGroup: rbac.authorization.k8s.io - kind: ClusterRole - name: cluster-admin ---- -kind: ClusterRole -apiVersion: rbac.authorization.k8s.io/v1 -metadata: - name: route-reader -rules: -- apiGroups: ["route.openshift.io"] - resources: ["routes"] - verbs: ["get", "list", "watch"] -- apiGroups: [""] - resources: ["secrets"] - verbs: ["get", "list", "watch"] ---- \ No newline at end of file diff --git a/bootstrap/ic-user-projects/tools/check-and-recreate-projects.sh b/bootstrap/ic-user-projects/tools/check-and-recreate-projects.sh deleted file mode 100644 index 1f20611b..00000000 --- a/bootstrap/ic-user-projects/tools/check-and-recreate-projects.sh +++ /dev/null @@ -1,525 +0,0 @@ -#!/bin/bash -user_count=$(oc get namespaces | grep showroom | wc -l) - -MINIO_ROOT_USER=$(oc get secret minio-root-user -n ic-shared-minio -o template --template '{{.data.MINIO_ROOT_USER|base64decode}}') -MINIO_ROOT_PASSWORD=$(oc get secret minio-root-user -n ic-shared-minio -o template --template '{{.data.MINIO_ROOT_PASSWORD|base64decode}}') -MINIO_HOST=https://$(oc get route minio-s3 -n ic-shared-minio -o template --template '{{.spec.host}}') -DASHBOARD_ROUTE=https://$(oc get route rhods-dashboard -n redhat-ods-applications -o jsonpath='{.spec.host}') - -# Define some variables -WORKBENCH_NAME="my-workbench" -WORKBENCH_IMAGE="ic-workbench:2.1.2" -PIPELINE_ENGINE="Tekton" -projects_without_running_pods=() - -for i in $(seq 1 $user_count); -do - -# Construct dynamic variables -USER_NAME="user$i" -USER_PROJECT="user$i" - -if [ -z "$(oc get pods -n $USER_PROJECT -l app=$WORKBENCH_NAME -o custom-columns=STATUS:.status.phase --no-headers | grep Running)" ]; then - echo "$USER_PROJECT workbench is not running." - projects_without_running_pods+=("$USER_PROJECT") -fi - -done - -while true; do - read -p "Do you want to recreate the above users? (y/n) " yn - case $yn in - [Yy]* ) break;; - [Nn]* ) exit;; - * ) echo "Please answer yes or no.";; - esac -done - - -for USER_PROJECT in "${projects_without_running_pods[@]}"; -do - -# Assume username and user project is the same -USER_NAME=$USER_PROJECT - -echo "Deleting user $USER_PROJECT..." -oc delete project $USER_PROJECT -echo "Waiting for project $USER_PROJECT to be deleted..." -while oc get project "$USER_PROJECT" &> /dev/null; do - echo -n '.' - sleep 5 -done - -echo "Generating and apply resources for $USER_NAME..." - -# Create projects -cat << EOF | oc apply -f- -apiVersion: project.openshift.io/v1 -kind: Project -metadata: - annotations: - openshift.io/description: '' - openshift.io/display-name: $USER_PROJECT - labels: - kubernetes.io/metadata.name: $USER_PROJECT - # modelmesh-enabled: 'true' - opendatahub.io/dashboard: 'true' - name: $USER_PROJECT -spec: - finalizers: - - kubernetes -EOF - -# Apply role bindings -cat << EOF | oc apply -f- -apiVersion: rbac.authorization.k8s.io/v1 -kind: RoleBinding -metadata: - name: admin - namespace: $USER_PROJECT -roleRef: - apiGroup: rbac.authorization.k8s.io - kind: ClusterRole - name: admin -subjects: -- apiGroup: rbac.authorization.k8s.io - kind: User - name: $USER_NAME ---- -apiVersion: v1 -kind: ServiceAccount -metadata: - name: demo-setup - namespace: $USER_PROJECT ---- -apiVersion: rbac.authorization.k8s.io/v1 -kind: RoleBinding -metadata: - name: demo-setup-edit - namespace: $USER_PROJECT -roleRef: - apiGroup: rbac.authorization.k8s.io - kind: ClusterRole - name: edit -subjects: -- kind: ServiceAccount - name: demo-setup ---- -kind: ClusterRoleBinding -apiVersion: rbac.authorization.k8s.io/v1 -metadata: - name: demo-setup-route-reader-binding-$USER_PROJECT -subjects: -- kind: ServiceAccount - name: demo-setup - namespace: $USER_PROJECT -roleRef: - kind: ClusterRole - name: route-reader - apiGroup: rbac.authorization.k8s.io ---- -kind: RoleBinding -apiVersion: rbac.authorization.k8s.io/v1 -metadata: - name: elyra-pipelines-$WORKBENCH_NAME - namespace: $USER_PROJECT - labels: - opendatahub.io/dashboard: 'true' -subjects: - - kind: ServiceAccount - name: $WORKBENCH_NAME -roleRef: - apiGroup: rbac.authorization.k8s.io - kind: Role - name: ds-pipeline-user-access-pipelines-definition -EOF - -# Create Data Science Connections -cat << EOF | oc apply -f- -apiVersion: batch/v1 -kind: Job -metadata: - name: create-ds-connections - namespace: $USER_PROJECT -spec: - selector: {} - template: - spec: - containers: - - args: - - -ec - - |- - echo -n "Waiting for minio-root-user to exist" - while [ -z "\$(oc get secret -n ic-shared-minio minio-root-user -oname 2>/dev/null)" ]; do - echo -n '.' - sleep 1 - done; echo - - echo "Minio user: $MINIO_ROOT_USER" - echo "Minio pass: $MINIO_ROOT_PASSWORD" - echo "Internal service url: http://minio.ic-shared-minio.svc.cluster.local:9000/" - cat << EOF | oc apply -f- - apiVersion: v1 - kind: Secret - metadata: - name: aws-connection-shared-minio---pipelines - labels: - opendatahub.io/dashboard: "true" - opendatahub.io/managed: "true" - annotations: - opendatahub.io/connection-type: s3 - openshift.io/display-name: Shared Minio - pipelines - type: Opaque - stringData: - AWS_ACCESS_KEY_ID: $MINIO_ROOT_USER - AWS_SECRET_ACCESS_KEY: $MINIO_ROOT_PASSWORD - AWS_DEFAULT_REGION: us - AWS_S3_ENDPOINT: http://minio.ic-shared-minio.svc:9000 - AWS_S3_BUCKET: $USER_NAME - EOF - command: - - /bin/bash - image: quay.io/openshift-release-dev/ocp-v4.0-art-dev@sha256:95b359257a7716b5f8d3a672081a84600218d8f58ca720f46229f7bb893af2ab - imagePullPolicy: IfNotPresent - name: create-ds-connections - restartPolicy: Never - serviceAccount: demo-setup - serviceAccountName: demo-setup -EOF - -# Set up the pipeline server -cat << EOF | oc apply -f- -apiVersion: datasciencepipelinesapplications.opendatahub.io/v1alpha1 -kind: DataSciencePipelinesApplication -metadata: - finalizers: - - datasciencepipelinesapplications.opendatahub.io/finalizer - name: pipelines-definition - namespace: $USER_PROJECT -spec: - apiServer: - applyTektonCustomResource: true - archiveLogs: false - autoUpdatePipelineDefaultVersion: true - collectMetrics: true - dbConfigConMaxLifetimeSec: 120 - deploy: true - enableOauth: true - enableSamplePipeline: false - injectDefaultScript: true - stripEOF: true - terminateStatus: Cancelled - trackArtifacts: true - database: - mariaDB: - deploy: true - pipelineDBName: mlpipeline - pvcSize: 10Gi - username: mlpipeline - objectStorage: - externalStorage: - bucket: $USER_NAME - host: minio.ic-shared-minio.svc.cluster.local:9000 - port: '' - s3CredentialsSecret: - accessKey: AWS_ACCESS_KEY_ID - secretKey: AWS_SECRET_ACCESS_KEY - secretName: aws-connection-shared-minio---pipelines - scheme: http - secure: false - persistenceAgent: - deploy: true - numWorkers: 2 - scheduledWorkflow: - cronScheduleTimezone: UTC - deploy: true -EOF - -# Create the Elyra secret -cat << EOF | oc apply -f- -apiVersion: batch/v1 -kind: Job -metadata: - name: create-pipeline-secret - namespace: $USER_PROJECT -spec: - selector: {} - template: - spec: - containers: - - args: - - -ec - - |- - echo -n 'Waiting for ds-pipeline-pipelines-definition route' - while ! oc get route ds-pipeline-pipelines-definition 2>/dev/null; do - echo -n . - sleep 5 - done; echo - - PIPELINE_ROUTE=https://\$(oc get route ds-pipeline-pipelines-definition -o jsonpath='{.spec.host}') - - cat << EOF | oc apply -f- - apiVersion: v1 - kind: Secret - metadata: - name: ds-pipeline-config - namespace: $USER_PROJECT - stringData: - odh_dsp.json: '{"display_name": "Data Science Pipeline", "metadata": {"tags": [], - "display_name": "Data Science Pipeline", "engine": "$PIPELINE_ENGINE", "auth_type": "KUBERNETES_SERVICE_ACCOUNT_TOKEN", - "api_endpoint": "\$PIPELINE_ROUTE", - "public_api_endpoint": "$DASHBOARD_ROUTE/pipelineRuns/$USER_PROJECT/pipelineRun/view/", - "cos_auth_type": "KUBERNETES_SECRET", "cos_secret": "aws-connection-shared-minio---pipelines", - "cos_endpoint": "$MINIO_HOST", "cos_bucket": "$USER_NAME", - "cos_username": "$MINIO_ROOT_USER", "cos_password": "$MINIO_ROOT_PASSWORD", - "runtime_type": "KUBEFLOW_PIPELINES"}, "schema_name": "kfp"}' - type: Opaque - EOF - command: - - /bin/bash - image: quay.io/openshift-release-dev/ocp-v4.0-art-dev@sha256:95b359257a7716b5f8d3a672081a84600218d8f58ca720f46229f7bb893af2ab - imagePullPolicy: IfNotPresent - name: create-ds-connections - restartPolicy: Never - serviceAccount: demo-setup - serviceAccountName: demo-setup -EOF - -# Create the workbench PVC -cat << EOF | oc apply -f- -kind: PersistentVolumeClaim -apiVersion: v1 -metadata: - annotations: - openshift.io/description: '' - openshift.io/display-name: My Workbench - volume.beta.kubernetes.io/storage-provisioner: openshift-storage.rbd.csi.ceph.com - volume.kubernetes.io/storage-provisioner: openshift-storage.rbd.csi.ceph.com - name: $WORKBENCH_NAME - namespace: $USER_PROJECT - finalizers: - - kubernetes.io/pvc-protection - labels: - opendatahub.io/dashboard: 'true' -spec: - accessModes: - - ReadWriteOnce - resources: - requests: - storage: 5Gi - storageClassName: ocs-storagecluster-ceph-rbd - volumeMode: Filesystem -EOF - -# Create the workbench -cat << EOF | oc apply -f- -apiVersion: kubeflow.org/v1 -kind: Notebook -metadata: - annotations: - notebooks.opendatahub.io/inject-oauth: 'true' - opendatahub.io/image-display-name: CUSTOM - Insurance Claim Processing Lab Workbench - notebooks.opendatahub.io/oauth-logout-url: >- - $DASHBOARD_ROUTE/projects/$USER_PROJECT?notebookLogout=$WORKBENCH_NAME - opendatahub.io/accelerator-name: '' - openshift.io/description: '' - openshift.io/display-name: My Workbench - notebooks.opendatahub.io/last-image-selection: '$WORKBENCH_IMAGE' - notebooks.opendatahub.io/last-size-selection: Standard - opendatahub.io/username: $USER_NAME - name: $WORKBENCH_NAME - namespace: $USER_PROJECT - labels: - app: $WORKBENCH_NAME - opendatahub.io/dashboard: 'true' - opendatahub.io/odh-managed: 'true' - opendatahub.io/user: $USER_NAME -spec: - template: - spec: - affinity: {} - containers: - - resources: - limits: - cpu: '2' - memory: 8Gi - requests: - cpu: '1' - memory: 6Gi - readinessProbe: - failureThreshold: 3 - httpGet: - path: /notebook/$USER_PROJECT/$WORKBENCH_NAME/api - port: notebook-port - scheme: HTTP - initialDelaySeconds: 10 - periodSeconds: 5 - successThreshold: 1 - timeoutSeconds: 1 - name: $WORKBENCH_NAME - livenessProbe: - failureThreshold: 3 - httpGet: - path: /notebook/$USER_PROJECT/$WORKBENCH_NAME/api - port: notebook-port - scheme: HTTP - initialDelaySeconds: 10 - periodSeconds: 5 - successThreshold: 1 - timeoutSeconds: 1 - env: - - name: NOTEBOOK_ARGS - value: |- - --ServerApp.port=8888 - --ServerApp.token='' - --ServerApp.password='' - --ServerApp.base_url=/notebook/$USER_PROJECT/$WORKBENCH_NAME - --ServerApp.quit_button=False - --ServerApp.tornado_settings={"user":"$USER_NAME","hub_host":"$DASHBOARD_ROUTE","hub_prefix":"/projects/$USER_PROJECT"} - - name: JUPYTER_IMAGE - value: >- - image-registry.openshift-image-registry.svc:5000/redhat-ods-applications/$WORKBENCH_IMAGE - ports: - - containerPort: 8888 - name: notebook-port - protocol: TCP - imagePullPolicy: Always - volumeMounts: - - mountPath: /opt/app-root/src - name: $WORKBENCH_NAME - - mountPath: /opt/app-root/runtimes - name: elyra-dsp-details - - mountPath: /dev/shm - name: shm - image: >- - image-registry.openshift-image-registry.svc:5000/redhat-ods-applications/$WORKBENCH_IMAGE - workingDir: /opt/app-root/src - - resources: - limits: - cpu: 100m - memory: 64Mi - requests: - cpu: 100m - memory: 64Mi - readinessProbe: - failureThreshold: 3 - httpGet: - path: /oauth/healthz - port: oauth-proxy - scheme: HTTPS - initialDelaySeconds: 5 - periodSeconds: 5 - successThreshold: 1 - timeoutSeconds: 1 - name: oauth-proxy - livenessProbe: - failureThreshold: 3 - httpGet: - path: /oauth/healthz - port: oauth-proxy - scheme: HTTPS - initialDelaySeconds: 30 - periodSeconds: 5 - successThreshold: 1 - timeoutSeconds: 1 - env: - - name: NAMESPACE - valueFrom: - fieldRef: - fieldPath: metadata.namespace - ports: - - containerPort: 8443 - name: oauth-proxy - protocol: TCP - imagePullPolicy: Always - volumeMounts: - - mountPath: /etc/oauth/config - name: oauth-config - - mountPath: /etc/tls/private - name: tls-certificates - image: >- - registry.redhat.io/openshift4/ose-oauth-proxy@sha256:4bef31eb993feb6f1096b51b4876c65a6fb1f4401fee97fa4f4542b6b7c9bc46 - args: - - '--provider=openshift' - - '--https-address=:8443' - - '--http-address=' - - '--openshift-service-account=$WORKBENCH_NAME' - - '--cookie-secret-file=/etc/oauth/config/cookie_secret' - - '--cookie-expire=24h0m0s' - - '--tls-cert=/etc/tls/private/tls.crt' - - '--tls-key=/etc/tls/private/tls.key' - - '--upstream=http://localhost:8888' - - '--upstream-ca=/var/run/secrets/kubernetes.io/serviceaccount/ca.crt' - - '--email-domain=*' - - '--skip-provider-button' - - >- - --openshift-sar={"verb":"get","resource":"notebooks","resourceAPIGroup":"kubeflow.org","resourceName":"$WORKBENCH_IMAGE","namespace":"$USER_PROJECT"} - - >- - --logout-url=$DASHBOARD_ROUTE/projects/$USER_PROJECT?notebookLogout=$WORKBENCH_IMAGE - enableServiceLinks: false - serviceAccountName: $WORKBENCH_NAME - tolerations: - - effect: NoSchedule - key: notebooksonly - operator: Exists - volumes: - - name: $WORKBENCH_NAME - persistentVolumeClaim: - claimName: $WORKBENCH_NAME - - name: elyra-dsp-details - secret: - secretName: ds-pipeline-config - - emptyDir: - medium: Memory - name: shm - - name: oauth-config - secret: - defaultMode: 420 - secretName: $WORKBENCH_NAME-oauth-config - - name: tls-certificates - secret: - defaultMode: 420 - secretName: $WORKBENCH_NAME-tls - readyReplicas: 1 -EOF - -# Git clone job -cat << EOF | oc apply -f- -apiVersion: batch/v1 -kind: Job -metadata: - name: clone-repo - namespace: $USER_PROJECT -spec: - backoffLimit: 4 - template: - spec: - serviceAccount: demo-setup - serviceAccountName: demo-setup - initContainers: - - name: wait-for-workbench - image: image-registry.openshift-image-registry.svc:5000/openshift/tools:latest - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - echo -n "Waiting for workbench pod in $USER_PROJECT namespace" - while [ -z "\$(oc get pods -n $USER_PROJECT -l app=$WORKBENCH_NAME -o custom-columns=STATUS:.status.phase --no-headers | grep Running 2>/dev/null)" ]; do - echo -n '.' - sleep 1 - done - echo "Workbench pod is running in $USER_PROJECT namespace" - containers: - - name: git-clone - image: image-registry.openshift-image-registry.svc:5000/openshift/tools:latest - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - pod_name=\$(oc get pods --selector=app=$WORKBENCH_NAME -o jsonpath='{.items[0].metadata.name}') && oc exec \$pod_name -- git clone https://github.com/rh-aiservices-bu/parasol-insurance - restartPolicy: Never -EOF - -done \ No newline at end of file diff --git a/bootstrap/ic-user-projects/tools/check-projects.sh b/bootstrap/ic-user-projects/tools/check-projects.sh deleted file mode 100644 index ba34abe0..00000000 --- a/bootstrap/ic-user-projects/tools/check-projects.sh +++ /dev/null @@ -1,16 +0,0 @@ -user_count=$(oc get namespaces | grep showroom | wc -l) - -WORKBENCH_NAME="my-workbench" - -for i in $(seq 1 $user_count); -do - -# Construct dynamic variables -USER_NAME="user$i" -USER_PROJECT="user$i" - -if [ -z "$(oc get pods -n $USER_PROJECT -l app=$WORKBENCH_NAME -o custom-columns=STATUS:.status.phase --no-headers | grep Running)" ]; then - echo "$USER_PROJECT workbench is not running." -fi - -done \ No newline at end of file diff --git a/bootstrap/ic-user-projects/tools/create-single-user-project.sh b/bootstrap/ic-user-projects/tools/create-single-user-project.sh deleted file mode 100644 index 2dd5ec6d..00000000 --- a/bootstrap/ic-user-projects/tools/create-single-user-project.sh +++ /dev/null @@ -1,497 +0,0 @@ -#!/bin/bash -while true; do - echo "Creating an individual user..." - read -p "Please enter the username: " USER_NAME - read -p "Please enter the projectname: " USER_PROJECT - echo "" - - read -p "Is this correct? (y/n) " yn - case $yn in - [Yy]* ) break;; - [Nn]* ) ;; - * ) echo "Please answer yes or no.";; - esac -done - - -MINIO_ROOT_USER=$(oc get secret minio-root-user -n ic-shared-minio -o template --template '{{.data.MINIO_ROOT_USER|base64decode}}') -MINIO_ROOT_PASSWORD=$(oc get secret minio-root-user -n ic-shared-minio -o template --template '{{.data.MINIO_ROOT_PASSWORD|base64decode}}') -MINIO_HOST=https://$(oc get route minio-s3 -n ic-shared-minio -o template --template '{{.spec.host}}') -DASHBOARD_ROUTE=https://$(oc get route rhods-dashboard -n redhat-ods-applications -o jsonpath='{.spec.host}') - -# Define some variables -WORKBENCH_NAME="my-workbench" -WORKBENCH_IMAGE="ic-workbench:2.1.2" -PIPELINE_ENGINE="Tekton" - -echo "Generating and apply resources for $USER_NAME..." - -# Create projects -cat << EOF | oc apply -f- -apiVersion: project.openshift.io/v1 -kind: Project -metadata: - annotations: - openshift.io/description: '' - openshift.io/display-name: $USER_PROJECT - labels: - kubernetes.io/metadata.name: $USER_PROJECT - # modelmesh-enabled: 'true' - opendatahub.io/dashboard: 'true' - name: $USER_PROJECT -spec: - finalizers: - - kubernetes -EOF - -# Apply role bindings -cat << EOF | oc apply -f- -apiVersion: rbac.authorization.k8s.io/v1 -kind: RoleBinding -metadata: - name: admin - namespace: $USER_PROJECT -roleRef: - apiGroup: rbac.authorization.k8s.io - kind: ClusterRole - name: admin -subjects: -- apiGroup: rbac.authorization.k8s.io - kind: User - name: $USER_NAME ---- -apiVersion: v1 -kind: ServiceAccount -metadata: - name: demo-setup - namespace: $USER_PROJECT ---- -apiVersion: rbac.authorization.k8s.io/v1 -kind: RoleBinding -metadata: - name: demo-setup-edit - namespace: $USER_PROJECT -roleRef: - apiGroup: rbac.authorization.k8s.io - kind: ClusterRole - name: edit -subjects: -- kind: ServiceAccount - name: demo-setup ---- -kind: ClusterRoleBinding -apiVersion: rbac.authorization.k8s.io/v1 -metadata: - name: demo-setup-route-reader-binding-$USER_PROJECT -subjects: -- kind: ServiceAccount - name: demo-setup - namespace: $USER_PROJECT -roleRef: - kind: ClusterRole - name: route-reader - apiGroup: rbac.authorization.k8s.io ---- -kind: RoleBinding -apiVersion: rbac.authorization.k8s.io/v1 -metadata: - name: elyra-pipelines-$WORKBENCH_NAME - namespace: $USER_PROJECT - labels: - opendatahub.io/dashboard: 'true' -subjects: - - kind: ServiceAccount - name: $WORKBENCH_NAME -roleRef: - apiGroup: rbac.authorization.k8s.io - kind: Role - name: ds-pipeline-user-access-pipelines-definition -EOF - -# Create Data Science Connections -cat << EOF | oc apply -f- -apiVersion: batch/v1 -kind: Job -metadata: - name: create-ds-connections - namespace: $USER_PROJECT -spec: - selector: {} - template: - spec: - containers: - - args: - - -ec - - |- - echo -n "Waiting for minio-root-user to exist" - while [ -z "\$(oc get secret -n ic-shared-minio minio-root-user -oname 2>/dev/null)" ]; do - echo -n '.' - sleep 1 - done; echo - - echo "Minio user: $MINIO_ROOT_USER" - echo "Minio pass: $MINIO_ROOT_PASSWORD" - echo "Internal service url: http://minio.ic-shared-minio.svc.cluster.local:9000/" - cat << EOF | oc apply -f- - apiVersion: v1 - kind: Secret - metadata: - name: aws-connection-shared-minio---pipelines - labels: - opendatahub.io/dashboard: "true" - opendatahub.io/managed: "true" - annotations: - opendatahub.io/connection-type: s3 - openshift.io/display-name: Shared Minio - pipelines - type: Opaque - stringData: - AWS_ACCESS_KEY_ID: $MINIO_ROOT_USER - AWS_SECRET_ACCESS_KEY: $MINIO_ROOT_PASSWORD - AWS_DEFAULT_REGION: us - AWS_S3_ENDPOINT: http://minio.ic-shared-minio.svc:9000 - AWS_S3_BUCKET: $USER_NAME - EOF - command: - - /bin/bash - image: quay.io/openshift-release-dev/ocp-v4.0-art-dev@sha256:95b359257a7716b5f8d3a672081a84600218d8f58ca720f46229f7bb893af2ab - imagePullPolicy: IfNotPresent - name: create-ds-connections - restartPolicy: Never - serviceAccount: demo-setup - serviceAccountName: demo-setup -EOF - -# Set up the pipeline server -cat << EOF | oc apply -f- -apiVersion: datasciencepipelinesapplications.opendatahub.io/v1alpha1 -kind: DataSciencePipelinesApplication -metadata: - finalizers: - - datasciencepipelinesapplications.opendatahub.io/finalizer - name: pipelines-definition - namespace: $USER_PROJECT -spec: - apiServer: - applyTektonCustomResource: true - archiveLogs: false - autoUpdatePipelineDefaultVersion: true - collectMetrics: true - dbConfigConMaxLifetimeSec: 120 - deploy: true - enableOauth: true - enableSamplePipeline: false - injectDefaultScript: true - stripEOF: true - terminateStatus: Cancelled - trackArtifacts: true - database: - mariaDB: - deploy: true - pipelineDBName: mlpipeline - pvcSize: 10Gi - username: mlpipeline - objectStorage: - externalStorage: - bucket: $USER_NAME - host: minio.ic-shared-minio.svc.cluster.local:9000 - port: '' - s3CredentialsSecret: - accessKey: AWS_ACCESS_KEY_ID - secretKey: AWS_SECRET_ACCESS_KEY - secretName: aws-connection-shared-minio---pipelines - scheme: http - secure: false - persistenceAgent: - deploy: true - numWorkers: 2 - scheduledWorkflow: - cronScheduleTimezone: UTC - deploy: true -EOF - -# Create the Elyra secret -cat << EOF | oc apply -f- -apiVersion: batch/v1 -kind: Job -metadata: - name: create-pipeline-secret - namespace: $USER_PROJECT -spec: - selector: {} - template: - spec: - containers: - - args: - - -ec - - |- - echo -n 'Waiting for ds-pipeline-pipelines-definition route' - while ! oc get route ds-pipeline-pipelines-definition 2>/dev/null; do - echo -n . - sleep 5 - done; echo - - PIPELINE_ROUTE=https://\$(oc get route ds-pipeline-pipelines-definition -o jsonpath='{.spec.host}') - - cat << EOF | oc apply -f- - apiVersion: v1 - kind: Secret - metadata: - name: ds-pipeline-config - namespace: $USER_PROJECT - stringData: - odh_dsp.json: '{"display_name": "Data Science Pipeline", "metadata": {"tags": [], - "display_name": "Data Science Pipeline", "engine": "$PIPELINE_ENGINE", "auth_type": "KUBERNETES_SERVICE_ACCOUNT_TOKEN", - "api_endpoint": "\$PIPELINE_ROUTE", - "public_api_endpoint": "$DASHBOARD_ROUTE/pipelineRuns/$USER_PROJECT/pipelineRun/view/", - "cos_auth_type": "KUBERNETES_SECRET", "cos_secret": "aws-connection-shared-minio---pipelines", - "cos_endpoint": "$MINIO_HOST", "cos_bucket": "$USER_NAME", - "cos_username": "$MINIO_ROOT_USER", "cos_password": "$MINIO_ROOT_PASSWORD", - "runtime_type": "KUBEFLOW_PIPELINES"}, "schema_name": "kfp"}' - type: Opaque - EOF - command: - - /bin/bash - image: quay.io/openshift-release-dev/ocp-v4.0-art-dev@sha256:95b359257a7716b5f8d3a672081a84600218d8f58ca720f46229f7bb893af2ab - imagePullPolicy: IfNotPresent - name: create-ds-connections - restartPolicy: Never - serviceAccount: demo-setup - serviceAccountName: demo-setup -EOF - -# Create the workbench PVC -cat << EOF | oc apply -f- -kind: PersistentVolumeClaim -apiVersion: v1 -metadata: - annotations: - openshift.io/description: '' - openshift.io/display-name: My Workbench - volume.beta.kubernetes.io/storage-provisioner: openshift-storage.rbd.csi.ceph.com - volume.kubernetes.io/storage-provisioner: openshift-storage.rbd.csi.ceph.com - name: $WORKBENCH_NAME - namespace: $USER_PROJECT - finalizers: - - kubernetes.io/pvc-protection - labels: - opendatahub.io/dashboard: 'true' -spec: - accessModes: - - ReadWriteOnce - resources: - requests: - storage: 5Gi - storageClassName: ocs-storagecluster-ceph-rbd - volumeMode: Filesystem -EOF - -# Create the workbench -cat << EOF | oc apply -f- -apiVersion: kubeflow.org/v1 -kind: Notebook -metadata: - annotations: - notebooks.opendatahub.io/inject-oauth: 'true' - opendatahub.io/image-display-name: CUSTOM - Insurance Claim Processing Lab Workbench - notebooks.opendatahub.io/oauth-logout-url: >- - $DASHBOARD_ROUTE/projects/$USER_PROJECT?notebookLogout=$WORKBENCH_NAME - opendatahub.io/accelerator-name: '' - openshift.io/description: '' - openshift.io/display-name: My Workbench - notebooks.opendatahub.io/last-image-selection: '$WORKBENCH_IMAGE' - notebooks.opendatahub.io/last-size-selection: Standard - opendatahub.io/username: $USER_NAME - name: $WORKBENCH_NAME - namespace: $USER_PROJECT - labels: - app: $WORKBENCH_NAME - opendatahub.io/dashboard: 'true' - opendatahub.io/odh-managed: 'true' - opendatahub.io/user: $USER_NAME -spec: - template: - spec: - affinity: {} - containers: - - resources: - limits: - cpu: '2' - memory: 8Gi - requests: - cpu: '1' - memory: 6Gi - readinessProbe: - failureThreshold: 3 - httpGet: - path: /notebook/$USER_PROJECT/$WORKBENCH_NAME/api - port: notebook-port - scheme: HTTP - initialDelaySeconds: 10 - periodSeconds: 5 - successThreshold: 1 - timeoutSeconds: 1 - name: $WORKBENCH_NAME - livenessProbe: - failureThreshold: 3 - httpGet: - path: /notebook/$USER_PROJECT/$WORKBENCH_NAME/api - port: notebook-port - scheme: HTTP - initialDelaySeconds: 10 - periodSeconds: 5 - successThreshold: 1 - timeoutSeconds: 1 - env: - - name: NOTEBOOK_ARGS - value: |- - --ServerApp.port=8888 - --ServerApp.token='' - --ServerApp.password='' - --ServerApp.base_url=/notebook/$USER_PROJECT/$WORKBENCH_NAME - --ServerApp.quit_button=False - --ServerApp.tornado_settings={"user":"$USER_NAME","hub_host":"$DASHBOARD_ROUTE","hub_prefix":"/projects/$USER_PROJECT"} - - name: JUPYTER_IMAGE - value: >- - image-registry.openshift-image-registry.svc:5000/redhat-ods-applications/$WORKBENCH_IMAGE - ports: - - containerPort: 8888 - name: notebook-port - protocol: TCP - imagePullPolicy: Always - volumeMounts: - - mountPath: /opt/app-root/src - name: $WORKBENCH_NAME - - mountPath: /opt/app-root/runtimes - name: elyra-dsp-details - - mountPath: /dev/shm - name: shm - image: >- - image-registry.openshift-image-registry.svc:5000/redhat-ods-applications/$WORKBENCH_IMAGE - workingDir: /opt/app-root/src - - resources: - limits: - cpu: 100m - memory: 64Mi - requests: - cpu: 100m - memory: 64Mi - readinessProbe: - failureThreshold: 3 - httpGet: - path: /oauth/healthz - port: oauth-proxy - scheme: HTTPS - initialDelaySeconds: 5 - periodSeconds: 5 - successThreshold: 1 - timeoutSeconds: 1 - name: oauth-proxy - livenessProbe: - failureThreshold: 3 - httpGet: - path: /oauth/healthz - port: oauth-proxy - scheme: HTTPS - initialDelaySeconds: 30 - periodSeconds: 5 - successThreshold: 1 - timeoutSeconds: 1 - env: - - name: NAMESPACE - valueFrom: - fieldRef: - fieldPath: metadata.namespace - ports: - - containerPort: 8443 - name: oauth-proxy - protocol: TCP - imagePullPolicy: Always - volumeMounts: - - mountPath: /etc/oauth/config - name: oauth-config - - mountPath: /etc/tls/private - name: tls-certificates - image: >- - registry.redhat.io/openshift4/ose-oauth-proxy@sha256:4bef31eb993feb6f1096b51b4876c65a6fb1f4401fee97fa4f4542b6b7c9bc46 - args: - - '--provider=openshift' - - '--https-address=:8443' - - '--http-address=' - - '--openshift-service-account=$WORKBENCH_NAME' - - '--cookie-secret-file=/etc/oauth/config/cookie_secret' - - '--cookie-expire=24h0m0s' - - '--tls-cert=/etc/tls/private/tls.crt' - - '--tls-key=/etc/tls/private/tls.key' - - '--upstream=http://localhost:8888' - - '--upstream-ca=/var/run/secrets/kubernetes.io/serviceaccount/ca.crt' - - '--email-domain=*' - - '--skip-provider-button' - - >- - --openshift-sar={"verb":"get","resource":"notebooks","resourceAPIGroup":"kubeflow.org","resourceName":"$WORKBENCH_IMAGE","namespace":"$USER_PROJECT"} - - >- - --logout-url=$DASHBOARD_ROUTE/projects/$USER_PROJECT?notebookLogout=$WORKBENCH_IMAGE - enableServiceLinks: false - serviceAccountName: $WORKBENCH_NAME - tolerations: - - effect: NoSchedule - key: notebooksonly - operator: Exists - volumes: - - name: $WORKBENCH_NAME - persistentVolumeClaim: - claimName: $WORKBENCH_NAME - - name: elyra-dsp-details - secret: - secretName: ds-pipeline-config - - emptyDir: - medium: Memory - name: shm - - name: oauth-config - secret: - defaultMode: 420 - secretName: $WORKBENCH_NAME-oauth-config - - name: tls-certificates - secret: - defaultMode: 420 - secretName: $WORKBENCH_NAME-tls - readyReplicas: 1 -EOF - -# Git clone job -cat << EOF | oc apply -f- -apiVersion: batch/v1 -kind: Job -metadata: - name: clone-repo - namespace: $USER_PROJECT -spec: - backoffLimit: 4 - template: - spec: - serviceAccount: demo-setup - serviceAccountName: demo-setup - initContainers: - - name: wait-for-workbench - image: image-registry.openshift-image-registry.svc:5000/openshift/tools:latest - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - echo -n "Waiting for workbench pod in $USER_PROJECT namespace" - while [ -z "\$(oc get pods -n $USER_PROJECT -l app=$WORKBENCH_NAME -o custom-columns=STATUS:.status.phase --no-headers | grep Running 2>/dev/null)" ]; do - echo -n '.' - sleep 1 - done - echo "Workbench pod is running in $USER_PROJECT namespace" - containers: - - name: git-clone - image: image-registry.openshift-image-registry.svc:5000/openshift/tools:latest - imagePullPolicy: IfNotPresent - command: ["/bin/bash"] - args: - - -ec - - |- - pod_name=\$(oc get pods --selector=app=$WORKBENCH_NAME -o jsonpath='{.items[0].metadata.name}') && oc exec \$pod_name -- git clone https://github.com/rh-aiservices-bu/parasol-insurance - restartPolicy: Never -EOF diff --git a/bootstrap/milvus-backup-image/Containerfile b/bootstrap/milvus-backup-image/Containerfile deleted file mode 100644 index 3afe94bd..00000000 --- a/bootstrap/milvus-backup-image/Containerfile +++ /dev/null @@ -1,16 +0,0 @@ -FROM --platform=linux/amd64 registry.access.redhat.com/ubi9:latest -ARG MILVUS_BACKUP_VERSION=v0.4.12 - -USER 0 - -RUN curl -LO https://github.com/zilliztech/milvus-backup/releases/download/${MILVUS_BACKUP_VERSION}/milvus-backup_Linux_x86_64.tar.gz && \ - tar -zxvf milvus-backup_Linux_x86_64.tar.gz && \ - mv milvus-backup /usr/local/bin/milvus-backup && \ - rm -rf milvus-backup_Linux_x86_64.tar.gz && \ - mkdir -p /var/log/milvus-backup && \ - chown -R 1001:0 /var/log/milvus-backup && \ - chmod -R g=u /var/log/milvus-backup - -USER 1001 - -ENTRYPOINT ["/usr/local/bin/milvus-backup"] diff --git a/bootstrap/workbench-image/Containerfile b/bootstrap/workbench-image/Containerfile deleted file mode 100644 index c8d03325..00000000 --- a/bootstrap/workbench-image/Containerfile +++ /dev/null @@ -1,93 +0,0 @@ -FROM quay.io/sclorg/python-311-c9s:c9s - -########################### -# Deploy OS Packages # -########################### - -USER 0 - -WORKDIR /opt/app-root/bin/ - -COPY --chown=1001:0 os-ide/os-packages.txt ./os-ide/os-packages.txt - -RUN echo "tsflags=nodocs" | tee -a /etc/yum.conf && \ - yum -y update && \ - yum install -y yum-utils && \ - yum-config-manager --enable crb && \ - yum install -y https://download.fedoraproject.org/pub/epel/epel-release-latest-9.noarch.rpm && \ - yum install -y $(cat os-ide/os-packages.txt) && \ - rm -f os-ide/os-packages.txt && \ - yum -y clean all --enablerepo='*' && \ - rm -rf /var/cache/dnf && \ - find /var/log -type f -name "*.log" -exec rm -f {} \; - -############################################# -# End of OS Packages # -############################################# - -###################################### -# Deploy Python packages and Jupyter # -###################################### - -USER 1001 - -WORKDIR /opt/app-root/bin - -# Copy packages list -COPY --chown=1001:0 requirements.txt ./ - -# Copy notebook launcher and utils -COPY --chown=1001:0 utils utils/ -COPY --chown=1001:0 start-notebook.sh ./ - -# Copy Elyra setup to utils so that it's sourced at startup -COPY --chown=1001:0 setup-elyra.sh ./utils/ - -# Install packages and cleanup -# (all commands are chained to minimize layer size) -RUN echo "Installing softwares and packages" && \ - # Install Python packages \ - pip install --no-cache-dir --no-dependencies -r requirements.txt && \ - # setup path for runtime configuration \ - mkdir /opt/app-root/runtimes && \ - # switch to Data Science Pipeline \ - cp utils/pipeline-flow.svg /opt/app-root/lib/python3.11/site-packages/elyra/static/icons/kubeflow.svg && \ - sed -i "s/Kubeflow Pipelines/Data Science/g" /opt/app-root/lib/python3.11/site-packages/elyra/pipeline/runtime_type.py && \ - sed -i "s/Kubeflow Pipelines/Data Science Pipelines/g" /opt/app-root/lib/python3.11/site-packages/elyra/metadata/schemas/kfp.json && \ - sed -i "s/kubeflow-service/data-science-pipeline-service/g" /opt/app-root/lib/python3.11/site-packages/elyra/metadata/schemas/kfp.json && \ - sed -i "s/\"default\": \"Argo\",/\"default\": \"Tekton\",/g" /opt/app-root/lib/python3.11/site-packages/elyra/metadata/schemas/kfp.json && \ - # Workaround for passing ssl_sa_cert and to ensure that Elyra redirects to a correct pipeline run URL \ - patch /opt/app-root/lib/python3.11/site-packages/elyra/pipeline/kfp/kfp_authentication.py -i utils/kfp_authentication.patch && \ - patch /opt/app-root/lib/python3.11/site-packages/elyra/pipeline/kfp/processor_kfp.py -i utils/processor_kfp.patch && \ - # switch to Data Science Pipeline in component catalog \ - DIR_COMPONENT="/opt/app-root/lib/python3.11/site-packages/elyra/metadata/schemas/local-directory-catalog.json" && \ - FILE_COMPONENT="/opt/app-root/lib/python3.11/site-packages/elyra/metadata/schemas/local-file-catalog.json" && \ - URL_COMPONENT="/opt/app-root/lib/python3.11/site-packages/elyra/metadata/schemas/url-catalog.json" && \ - tmp=$(mktemp) && \ - jq '.properties.metadata.properties.runtime_type = input' $DIR_COMPONENT utils/component_runtime.json > "$tmp" && mv "$tmp" $DIR_COMPONENT && \ - jq '.properties.metadata.properties.runtime_type = input' $FILE_COMPONENT utils/component_runtime.json > "$tmp" && mv "$tmp" $FILE_COMPONENT && \ - jq '.properties.metadata.properties.runtime_type = input' $URL_COMPONENT utils/component_runtime.json > "$tmp" && mv "$tmp" $URL_COMPONENT && \ - sed -i "s/metadata.metadata.runtime_type/\"DATA_SCIENCE_PIPELINES\"/g" /opt/app-root/share/jupyter/labextensions/@elyra/pipeline-editor-extension/static/lib_index_js.*.js && \ - # Remove Elyra logo from JupyterLab because this is not a pure Elyra image \ - sed -i "s/widget\.id === \x27jp-MainLogo\x27/widget\.id === \x27jp-MainLogo\x27 \&\& false/" /opt/app-root/share/jupyter/labextensions/@elyra/theme-extension/static/lib_index_js.*.js && \ - # Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x.y \ - sed -i -e "s/Python.*/$(python --version | cut -d '.' -f-2)\",/" /opt/app-root/share/jupyter/kernels/python3/kernel.json && \ - # Remove default Elyra runtime-images \ - rm /opt/app-root/share/jupyter/metadata/runtime-images/*.json && \ - # Fix permissions to support pip in OpenShift environments \ - chmod -R g+w /opt/app-root/lib/python3.11/site-packages && \ - fix-permissions /opt/app-root -P - -# Copy Elyra runtime-images definitions and set the version -COPY --chown=1001:0 runtime-images/ /opt/app-root/share/jupyter/metadata/runtime-images/ -RUN sed -i "s/RELEASE/2023c/" /opt/app-root/share/jupyter/metadata/runtime-images/*.json - -# Jupyter Server config to allow hidden files/folders in explorer. Ref: https://jupyterlab.readthedocs.io/en/latest/user/files.html#displaying-hidden-files -# Jupyter Lab config to hide disabled exporters (WebPDF, Qtpdf, Qtpng) -COPY --chown=1001:0 etc/ /opt/app-root/etc/jupyter/ - -WORKDIR /opt/app-root/src - -ENTRYPOINT ["start-notebook.sh"] - - diff --git a/bootstrap/workbench-image/Pipfile b/bootstrap/workbench-image/Pipfile deleted file mode 100644 index 20b5468b..00000000 --- a/bootstrap/workbench-image/Pipfile +++ /dev/null @@ -1,65 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[[source]] -url = "https://download.pytorch.org/whl/cpu" -verify_ssl = false -name = "pytorch" - -[dev-packages] - -[packages] -# Basic datascience packages and useful extensions -boto3 = "~=1.34.65" -kubernetes = "~=25.3.0" # Fixed by kfp@1.8.22 needed by elyra@3.15.0 -matplotlib = "~=3.8.3" -numpy = "~=1.26.4" -pandas = "~=2.2.1" -plotly = "~=5.20.0" -scikit-learn = "~=1.4.1.post1" -scipy = "~=1.12.0" - -# PyTorch -torch = {version = "==2.2.2+cpu", index = "pytorch"} - -# LLM section - Langchain -langchain = "==0.1.12" -openai = "==1.14.1" -text_generation = "==0.6.1" -sentence_transformers = "==2.6.1" -pymilvus = "==2.3.7" -einops = "==0.7.0" - -# Image recognition section - YOLO -Flask = "~=3.0.2" -gunicorn = "~=21.2.0" -onnx = "~=1.15.0" -onnxruntime = "~=1.17.1" -opencv-python-headless = "~=4.9.0.80" -ultralytics = "~=8.1.29" - - -# Base packages -pip = "~=24.0" -setuptools = "~=69.2.0" -wheel = "~=0.43.0" - -# JupyterLab packages -elyra-pipeline-editor-extension = "~=3.15.0" -elyra-python-editor-extension = "~=3.15.0" -elyra-code-snippet-extension = "~=3.15.0" -kfp-tekton = "<1.6.0" -jupyterlab = "~=3.6.7" -jupyter-bokeh = "~=3.0.7" -jupyter-resource-usage = "~=1.0.2" -jupyter-server-proxy = "~=4.1.2" -jupyter-server-terminals = "~=0.5.3" -jupyterlab-git = "~=0.44.0" -jupyterlab-lsp = "~=4.3.0" -jupyterlab-widgets = "~=3.0.10" -nbdime = "~=3.2.1" - -[requires] -python_version = "3.11" \ No newline at end of file diff --git a/bootstrap/workbench-image/Pipfile.lock b/bootstrap/workbench-image/Pipfile.lock deleted file mode 100644 index 8a86fdaf..00000000 --- a/bootstrap/workbench-image/Pipfile.lock +++ /dev/null @@ -1,4511 +0,0 @@ -{ - 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} - }, - "develop": {} -} diff --git a/bootstrap/workbench-image/README.md b/bootstrap/workbench-image/README.md deleted file mode 100644 index 907557fe..00000000 --- a/bootstrap/workbench-image/README.md +++ /dev/null @@ -1,17 +0,0 @@ -# Important notes - -OpenCV for Python comes in two flavors, standard and headless. The Headless version is the one required inside a container image, otherwise the command `import cv2` will fail. - -That's because the standard version has dependencies on OS packages related to display, which you obviously don't have in a container. However, it i listed as a dependency by several other libraries which expect you to run on a desktop/laptop! Therefore we need to make sure only the headless version is installed. - -The `requirements.txt` file used to build the container image is generated in this way: - -- Create a Pipfile with the needed packages -- Lock the packages (`pipenv lock`) -- Create the requirement.txt with `pipenv requirements > requirements.txt` -- Edit `requirements.txt` and remove the package `opencv-python` (which has been "injected" as a dependency), it was not in the Pipfile, but keep `opencv-python-headless` -- `requirements.txt` content will be installed when the container is built with the option `no-dependencies` to avoid unwanted packages to come back... This option is really needed, otherwise pip will install the standard opencv version again as a dependency... - -## Build the image - -`podman build -t rhoai-lab-insurance-claim-workbench:x.y .` diff --git a/bootstrap/workbench-image/etc/jupyter_notebook_config.py b/bootstrap/workbench-image/etc/jupyter_notebook_config.py deleted file mode 100644 index 243a1161..00000000 --- a/bootstrap/workbench-image/etc/jupyter_notebook_config.py +++ /dev/null @@ -1,3 +0,0 @@ -c.WebPDFExporter.enabled = False -c.QtPDFExporter.enabled = False -c.QtPNGExporter.enabled = False diff --git a/bootstrap/workbench-image/etc/jupyter_server_config.py b/bootstrap/workbench-image/etc/jupyter_server_config.py deleted file mode 100644 index 3421ff31..00000000 --- a/bootstrap/workbench-image/etc/jupyter_server_config.py +++ /dev/null @@ -1 +0,0 @@ -c.ContentsManager.allow_hidden = True diff --git a/bootstrap/workbench-image/os-ide/os-packages.txt b/bootstrap/workbench-image/os-ide/os-packages.txt deleted file mode 100644 index f6341642..00000000 --- a/bootstrap/workbench-image/os-ide/os-packages.txt +++ /dev/null @@ -1,42 +0,0 @@ -diffutils -git-lfs -hdf5 -jq -lcms2 -llvm -llvm-devel -lz4 -nano -pandoc -postgresql -texlive-adjustbox -texlive-bibtex -texlive-charter -texlive-ec -texlive-euro -texlive-eurosym -texlive-fpl -texlive-jknapltx -texlive-knuth-local -texlive-lm-math -texlive-marvosym -texlive-mathpazo -texlive-mflogo-font -texlive-parskip -texlive-plain -texlive-pxfonts -texlive-rsfs -texlive-tcolorbox -texlive-times -texlive-titling -texlive-txfonts -texlive-ulem -texlive-upquote -texlive-utopia -texlive-wasy -texlive-wasy-type1 -texlive-wasysym -texlive-xetex -tk -unixODBC -zstd \ No newline at end of file diff --git a/bootstrap/workbench-image/requirements.txt b/bootstrap/workbench-image/requirements.txt deleted file mode 100644 index 77a92fdb..00000000 --- a/bootstrap/workbench-image/requirements.txt +++ /dev/null @@ -1,283 +0,0 @@ --i https://pypi.org/simple ---extra-index-url https://download.pytorch.org/whl/cpu -absl-py==1.4.0; python_version >= '3.6' -aiofiles==22.1.0; python_version >= '3.7' and python_version < '4.0' -aiohttp==3.9.5; python_version >= '3.8' -aiosignal==1.3.1; python_version >= '3.7' -aiosqlite==0.20.0; python_version >= '3.8' -anyio==4.3.0; python_version >= '3.8' -argon2-cffi==23.1.0; python_version >= '3.7' -argon2-cffi-bindings==21.2.0; python_version >= '3.6' -arrow==1.3.0; python_version >= '3.8' -astroid==3.1.0; python_full_version >= '3.8.0' -asttokens==2.4.1 -attrs==23.2.0; python_version >= '3.7' -autopep8==2.0.4; python_version >= '3.6' -azure-core==1.30.1; python_version >= '3.7' -azure-storage-blob==12.19.1; python_version >= '3.7' -babel==2.14.0; python_version >= '3.7' -beautifulsoup4==4.12.3; python_full_version >= '3.6.0' -black==24.4.0; python_version >= '3.8' -bleach==6.1.0; python_version >= '3.8' -blinker==1.7.0; python_version >= '3.8' -bokeh==3.4.1; python_version >= '3.9' -boto3==1.34.87; python_version >= '3.8' -botocore==1.34.87; python_version >= '3.8' -cachetools==5.3.3; python_version >= '3.7' -certifi==2024.2.2; python_version >= '3.6' -cffi==1.16.0; platform_python_implementation != 'PyPy' -charset-normalizer==3.3.2; python_full_version >= '3.7.0' -click==8.1.7; python_version >= '3.7' -cloudpickle==2.2.1; python_version >= '3.6' -colorama==0.4.6; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6' -coloredlogs==15.0.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -comm==0.2.2; python_version >= '3.8' -contourpy==1.2.1; python_version >= '3.9' -cryptography==42.0.5; python_version >= '3.7' -cycler==0.12.1; python_version >= '3.8' -dataclasses-json==0.6.4; python_version >= '3.7' and python_version < '4.0' -debugpy==1.8.1; python_version >= '3.8' -decorator==5.1.1; python_version >= '3.5' -defusedxml==0.7.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -deprecated==1.2.14; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -deprecation==2.1.0 -dill==0.3.8; python_version >= '3.11' -distro==1.9.0; python_version >= '3.6' -docstring-parser==0.16; python_version >= '3.6' and python_version < '4.0' -docstring-to-markdown==0.15; python_version >= '3.6' -einops==0.7.0; python_version >= '3.8' -elyra-code-snippet-extension==3.15.0 -elyra-pipeline-editor-extension==3.15.0 -elyra-python-editor-extension==3.15.0 -elyra-server==3.15.0; python_version >= '3.8' -entrypoints==0.4; python_version >= '3.6' -environs==9.5.0; python_version >= '3.6' -executing==2.0.1; python_version >= '3.5' -fastjsonschema==2.19.1 -filelock==3.13.4; python_version >= '3.8' -fire==0.6.0 -flake8==7.0.0 -flask==3.0.3; python_version >= '3.8' -flatbuffers==24.3.25 -fonttools==4.51.0; python_version >= '3.8' -fqdn==1.5.1 -frozenlist==1.4.1; python_version >= '3.8' -fsspec==2024.3.1; python_version >= '3.8' -gitdb==4.0.11; python_version >= '3.7' -gitpython==3.1.43; python_version >= '3.7' -google-api-core==2.18.0; python_version >= '3.7' -google-api-python-client==1.12.11; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -google-auth==2.29.0; python_version >= '3.7' -google-auth-httplib2==0.2.0 -google-cloud-core==2.4.1; python_version >= '3.7' -google-cloud-storage==2.16.0; python_version >= '3.7' -google-crc32c==1.5.0; python_version >= '3.7' -google-resumable-media==2.7.0; python_version >= '3.7' -googleapis-common-protos==1.63.0; python_version >= '3.7' -greenlet==3.0.3; platform_machine == 'aarch64' or (platform_machine == 'ppc64le' or (platform_machine == 'x86_64' or (platform_machine == 'amd64' or (platform_machine == 'AMD64' or (platform_machine == 'win32' or platform_machine == 'WIN32'))))) -grpcio==1.60.0; python_version >= '3.7' -gunicorn==21.2.0; python_version >= '3.5' -h11==0.14.0; python_version >= '3.7' -httpcore==1.0.5; python_version >= '3.8' -httplib2==0.22.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -httpx==0.27.0; python_version >= '3.8' -huggingface-hub==0.22.2; python_full_version >= '3.8.0' -humanfriendly==10.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -idna==3.7; python_version >= '3.5' -importlib-metadata==7.1.0; python_version >= '3.8' -ipykernel==6.29.4; python_version >= '3.8' -ipython==8.23.0; python_version >= '3.10' -ipython-genutils==0.2.0 -ipywidgets==8.1.2; python_version >= '3.7' -isodate==0.6.1 -isoduration==20.11.0 -isort==5.13.2; python_full_version >= '3.8.0' -itsdangerous==2.2.0; python_version >= '3.8' -jedi==0.19.1; python_version >= '3.6' -jinja2==3.1.3; python_version >= '3.7' -jmespath==1.0.1; python_version >= '3.7' -joblib==1.4.0; python_version >= '3.8' -json5==0.9.25; python_version >= '3.8' -jsonpatch==1.33; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6' -jsonpointer==2.4; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6' -jsonschema[format-nongpl]==4.21.1; python_version >= '3.8' -jsonschema-specifications==2023.12.1; python_version >= '3.8' -jupyter-bokeh==3.0.7; python_version >= '3.8' -jupyter-client==7.4.9; python_version >= '3.7' -jupyter-core==5.7.2; python_version >= '3.8' -jupyter-events==0.10.0; python_version >= '3.8' -jupyter-lsp==2.2.5; python_version >= '3.8' -jupyter-packaging==0.12.3; python_version >= '3.7' -jupyter-resource-usage==1.0.2; python_version >= '3.8' -jupyter-server==2.14.0; python_version >= '3.8' -jupyter-server-fileid==0.9.2; python_version >= '3.7' -jupyter-server-mathjax==0.2.6; python_version >= '3.7' -jupyter-server-proxy==4.1.2; python_version >= '3.8' -jupyter-server-terminals==0.5.3; python_version >= '3.8' -jupyter-server-ydoc==0.8.0; python_version >= '3.7' -jupyter-ydoc==0.2.5; python_version >= '3.7' -jupyterlab==3.6.7; python_version >= '3.7' -jupyterlab-git==0.44.0; python_version >= '3.7' -jupyterlab-lsp==4.3.0; python_version >= '3.8' -jupyterlab-pygments==0.3.0; python_version >= '3.8' -jupyterlab-server==2.26.0; python_version >= '3.8' -jupyterlab-widgets==3.0.10; python_version >= '3.7' -kfp==1.8.22; python_full_version >= '3.6.1' -kfp-pipeline-spec==0.1.16; python_full_version >= '3.7.0' -kfp-server-api==1.8.5 -kfp-tekton==1.5.10; python_full_version >= '3.6.1' -kiwisolver==1.4.5; python_version >= '3.7' -kubernetes==25.3.0; python_version >= '3.6' -langchain==0.1.12; python_version < '4.0' and python_full_version >= '3.8.1' -langchain-community==0.0.33; python_version < '4.0' and python_full_version >= '3.8.1' -langchain-core==0.1.44; python_version < '4.0' and python_full_version >= '3.8.1' -langchain-text-splitters==0.0.1; python_version < '4.0' and python_full_version >= '3.8.1' -langsmith==0.1.48; python_version < '4.0' and python_full_version >= '3.8.1' -markdown-it-py==3.0.0; python_version >= '3.8' -markupsafe==2.1.5; python_version >= '3.7' -marshmallow==3.21.1; python_version >= '3.8' -matplotlib==3.8.4; python_version >= '3.9' -matplotlib-inline==0.1.7; python_version >= '3.8' -mccabe==0.7.0 -mdurl==0.1.2; python_version >= '3.7' -minio==7.2.5 -mistune==3.0.2; python_version >= '3.7' -mpmath==1.3.0 -multidict==6.0.5; python_version >= '3.7' -mypy-extensions==1.0.0; python_version >= '3.5' -nbclassic==1.0.0; python_version >= '3.7' -nbclient==0.10.0; python_full_version >= '3.8.0' -nbconvert==7.16.3; python_version >= '3.8' -nbdime==3.2.1; python_version >= '3.6' -nbformat==5.10.4; python_version >= '3.8' -nest-asyncio==1.6.0; python_version >= '3.5' -networkx==3.3; python_version >= '3.10' -notebook==6.5.6; python_version >= '3.7' -notebook-shim==0.2.4; python_version >= '3.7' -numpy==1.26.4; python_version >= '3.9' -oauthlib==3.2.2; python_version >= '3.6' -onnx==1.15.0; python_version >= '3.8' -onnxruntime==1.17.3 -openai==1.14.1; python_full_version >= '3.7.1' -opencv-python-headless==4.9.0.80; python_version >= '3.6' -orjson==3.10.1; python_version >= '3.8' -overrides==7.7.0; python_version >= '3.6' -packaging==23.2; python_version >= '3.7' -pandas==2.2.2; python_version >= '3.9' -pandocfilters==1.5.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -papermill==2.5.0; python_version >= '3.8' -parso==0.8.4; python_version >= '3.6' -pathspec==0.12.1; python_version >= '3.8' -pexpect==4.9.0 -pillow==10.3.0; python_version >= '3.8' -pip==24.0; python_version >= '3.7' -platformdirs==4.2.0; python_version >= '3.8' -plotly==5.20.0; python_version >= '3.8' -pluggy==1.4.0; python_version >= '3.8' -prometheus-client==0.20.0; python_version >= '3.8' -prompt-toolkit==3.0.43; python_full_version >= '3.7.0' -proto-plus==1.23.0; python_version >= '3.6' -protobuf==3.20.3; python_version >= '3.7' -psutil==5.9.8; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5' -ptyprocess==0.7.0 -pure-eval==0.2.2 -py-cpuinfo==9.0.0 -pyarrow==15.0.2; python_version >= '3.8' -pyasn1==0.6.0; python_version >= '3.8' -pyasn1-modules==0.4.0; python_version >= '3.8' -pycodestyle==2.11.1; python_version >= '3.8' -pycparser==2.22; python_version >= '3.8' -pycryptodome==3.20.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -pydantic==1.10.15; python_version >= '3.7' -pydocstyle==6.3.0 -pyflakes==3.2.0 -pygithub==2.3.0; python_version >= '3.7' -pygments==2.17.2; python_version >= '3.7' -pyjwt[crypto]==2.8.0; python_version >= '3.7' -pylint==3.1.0 -pymilvus==2.3.7; python_version >= '3.8' -pynacl==1.5.0; python_version >= '3.6' -pyparsing==3.1.2; python_full_version >= '3.6.8' -python-dateutil==2.9.0.post0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -python-dotenv==1.0.1; python_version >= '3.8' -python-json-logger==2.0.7; python_version >= '3.6' -python-lsp-jsonrpc==1.1.2; python_version >= '3.8' -python-lsp-server[all]==1.11.0; python_version >= '3.8' -pytoolconfig[global]==1.3.1; python_version >= '3.8' -pytz==2024.1 -pyyaml==6.0.1; python_version >= '3.6' -pyzmq==24.0.1; python_version >= '3.6' -referencing==0.34.0; python_version >= '3.8' -regex==2024.4.16; python_version >= '3.7' -requests==2.31.0; python_version >= '3.7' -requests-oauthlib==2.0.0; python_version >= '3.4' -requests-toolbelt==0.10.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -rfc3339-validator==0.1.4; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -rfc3986-validator==0.1.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -rich==13.7.1; python_full_version >= '3.7.0' -rope==1.13.0 -rpds-py==0.18.0; python_version >= '3.8' -rsa==4.9; python_version >= '3.6' and python_version < '4' -s3transfer==0.10.1; python_version >= '3.8' -safetensors==0.4.3; python_version >= '3.7' -scikit-learn==1.4.2; python_version >= '3.9' -scipy==1.12.0; python_version >= '3.9' -seaborn==0.13.2; python_version >= '3.8' -send2trash==1.8.3; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5' -sentence-transformers==2.6.1; python_full_version >= '3.8.0' -setuptools==69.2.0; python_version >= '3.8' -shellingham==1.5.4; python_version >= '3.7' -simpervisor==1.0.0; python_version >= '3.8' -six==1.16.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -smmap==5.0.1; python_version >= '3.7' -sniffio==1.3.1; python_version >= '3.7' -snowballstemmer==2.2.0 -soupsieve==2.5; python_version >= '3.8' -sqlalchemy==2.0.29; python_version >= '3.7' -stack-data==0.6.3 -strip-hints==0.1.10 -sympy==1.12; python_version >= '3.8' -tabulate==0.9.0; python_version >= '3.7' -tenacity==8.2.3; python_version >= '3.7' -termcolor==2.3.0; python_version >= '3.7' -terminado==0.18.1; python_version >= '3.8' -text-generation==0.6.1; python_version >= '3.7' and python_version < '4.0' -thop==0.1.1.post2209072238 -threadpoolctl==3.4.0; python_version >= '3.8' -tinycss2==1.2.1; python_version >= '3.7' -tokenizers==0.19.1; python_version >= '3.7' -tomli==2.0.1; python_version >= '3.7' -tomlkit==0.12.4; python_version >= '3.7' -torch==2.2.2+cpu -torchvision==0.17.2; python_version >= '3.8' -tornado==6.4; python_version >= '3.8' -tqdm==4.66.2; python_version >= '3.7' -traitlets==5.14.2; python_version >= '3.8' -transformers==4.40.0; python_full_version >= '3.8.0' -typer==0.12.3; python_version >= '3.7' -types-python-dateutil==2.9.0.20240316; python_version >= '3.8' -typing-extensions==4.11.0; python_version >= '3.8' -typing-inspect==0.9.0 -tzdata==2024.1; python_version >= '2' -ujson==5.9.0; python_version >= '3.8' -ultralytics==8.1.47; python_version >= '3.8' -uri-template==1.3.0 -uritemplate==3.0.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -urllib3==1.26.18; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5' -watchdog==4.0.0; python_version >= '3.8' -wcwidth==0.2.13 -webcolors==1.13 -webencodings==0.5.1 -websocket-client==1.7.0; python_version >= '3.8' -werkzeug==3.0.2; python_version >= '3.8' -whatthepatch==1.0.5 -wheel==0.43.0; python_version >= '3.8' -widgetsnbextension==4.0.10; python_version >= '3.7' -wrapt==1.16.0; python_version >= '3.6' -xyzservices==2024.4.0; python_version >= '3.8' -y-py==0.6.2 -yapf==0.40.2 -yarl==1.9.4; python_version >= '3.7' -yaspin==3.0.2; python_version >= '3.9' and python_version < '4.0' -ypy-websocket==0.8.4; python_version >= '3.7' -zipp==3.18.1; python_version >= '3.8' diff --git a/bootstrap/workbench-image/runtime-images/cuda-datascience-c9s-py311.json b/bootstrap/workbench-image/runtime-images/cuda-datascience-c9s-py311.json deleted file mode 100644 index 0a2a3e04..00000000 --- a/bootstrap/workbench-image/runtime-images/cuda-datascience-c9s-py311.json +++ /dev/null @@ -1,9 +0,0 @@ -{ - "display_name": "CUDA Datascience with Python 3.11 (CentOS Stream 9)", - "metadata": { - "tags": [], - "display_name": "CUDA Datascience with Python 3.11 (CentOS Stream 9)", - "image_name": "quay.io/opendatahub-contrib/workbench-images:cuda-runtime-datascience-c9s-py39_RELEASE_latest" - }, - "schema_name": "runtime-image" -} \ No newline at end of file diff --git a/bootstrap/workbench-image/runtime-images/cuda-pytorch-c9s-py311.json b/bootstrap/workbench-image/runtime-images/cuda-pytorch-c9s-py311.json deleted file mode 100644 index 0854745e..00000000 --- a/bootstrap/workbench-image/runtime-images/cuda-pytorch-c9s-py311.json +++ /dev/null @@ -1,9 +0,0 @@ -{ - "display_name": "CUDA PyTorch with Python 3.11 (CentOS Stream 9)", - "metadata": { - "tags": [], - "display_name": "CUDA PyTorch with Python 3.11 (CentOS Stream 9)", - "image_name": "quay.io/opendatahub-contrib/workbench-images:cuda-runtime-pytorch-c9s-py39_RELEASE_latest" - }, - "schema_name": "runtime-image" -} \ No newline at end of file diff --git a/bootstrap/workbench-image/runtime-images/cuda-tensorflow-c9s-py311.json b/bootstrap/workbench-image/runtime-images/cuda-tensorflow-c9s-py311.json deleted file mode 100644 index 08173601..00000000 --- a/bootstrap/workbench-image/runtime-images/cuda-tensorflow-c9s-py311.json +++ /dev/null @@ -1,9 +0,0 @@ -{ - "display_name": "CUDA Tensorflow with Python 3.11 (CentOS Stream 9)", - "metadata": { - "tags": [], - "display_name": "CUDA Tensorflow with Python 3.11 (CentOS Stream 9)", - "image_name": "quay.io/opendatahub-contrib/workbench-images:cuda-runtime-tensorflow-c9s-py39_RELEASE_latest" - }, - "schema_name": "runtime-image" -} \ No newline at end of file diff --git a/bootstrap/workbench-image/runtime-images/datascience-c9s-py311.json b/bootstrap/workbench-image/runtime-images/datascience-c9s-py311.json deleted file mode 100644 index a6dbc1da..00000000 --- a/bootstrap/workbench-image/runtime-images/datascience-c9s-py311.json +++ /dev/null @@ -1,9 +0,0 @@ -{ - "display_name": "Datascience with Python 3.11 (CentOS Stream 9)", - "metadata": { - "tags": [], - "display_name": "Datascience with Python 3.11 (CentOS Stream 9)", - "image_name": "quay.io/opendatahub-contrib/workbench-images:runtime-datascience-c9s-py311_RELEASE_latest" - }, - "schema_name": "runtime-image" -} \ No newline at end of file diff --git a/bootstrap/workbench-image/runtime-images/datascience-ubi9-py39.json b/bootstrap/workbench-image/runtime-images/datascience-ubi9-py39.json deleted file mode 100644 index 0ba87878..00000000 --- a/bootstrap/workbench-image/runtime-images/datascience-ubi9-py39.json +++ /dev/null @@ -1,9 +0,0 @@ -{ - "display_name": "Datascience with Python 3.9 (UBI9)", - "metadata": { - "tags": [], - "display_name": "Datascience with Python 3.9 (UBI9)", - "image_name": "quay.io/opendatahub/workbench-images:runtime-datascience-ubi9-python-3.9-6a6098d" - }, - "schema_name": "runtime-image" -} \ No newline at end of file diff --git a/bootstrap/workbench-image/runtime-images/pytorch-ubi9-py39.json b/bootstrap/workbench-image/runtime-images/pytorch-ubi9-py39.json deleted file mode 100644 index 4f2d3957..00000000 --- a/bootstrap/workbench-image/runtime-images/pytorch-ubi9-py39.json +++ /dev/null @@ -1,9 +0,0 @@ -{ - "display_name": "PyTorch with CUDA and Python 3.9 (UBI9)", - "metadata": { - "tags": [], - "display_name": "PyTorch with CUDA and Python 3.9 (UBI9)", - "image_name": "quay.io/opendatahub/workbench-images:runtime-pytorch-ubi9-python-3.9-6a6098d" - }, - "schema_name": "runtime-image" -} \ No newline at end of file diff --git a/bootstrap/workbench-image/runtime-images/r-c9s-py311.json b/bootstrap/workbench-image/runtime-images/r-c9s-py311.json deleted file mode 100644 index d2dac43d..00000000 --- a/bootstrap/workbench-image/runtime-images/r-c9s-py311.json +++ /dev/null @@ -1,9 +0,0 @@ -{ - "display_name": "R 4.3.1 with Python 3.11 (CentOS Stream 9)", - "metadata": { - "tags": [], - "display_name": "R 4.3.1 with Python 3.11 (CentOS Stream 9)", - "image_name": "quay.io/opendatahub-contrib/workbench-images:runtime-r-c9s-py311_RELEASE_latest" - }, - "schema_name": "runtime-image" -} \ No newline at end of file diff --git a/bootstrap/workbench-image/runtime-images/spark-c9s-py311.json b/bootstrap/workbench-image/runtime-images/spark-c9s-py311.json deleted file mode 100644 index fc7ec1a0..00000000 --- a/bootstrap/workbench-image/runtime-images/spark-c9s-py311.json +++ /dev/null @@ -1,9 +0,0 @@ -{ - "display_name": "Spark/PySpark 3.4.1 with Hadoop 3.3.6 + Datascience with Python 3.11 (CentOS Stream 9)", - "metadata": { - "tags": [], - "display_name": "Spark/PySpark 3.4.1 with Hadoop 3.3.6 + Datascience with Python 3.11 (CentOS Stream 9)", - "image_name": "quay.io/opendatahub-contrib/workbench-images:runtime-spark-c9s-py311_RELEASE_latest" - }, - "schema_name": "runtime-image" -} \ No newline at end of file diff --git a/bootstrap/workbench-image/runtime-images/tensorflow-ubi9-py39.json b/bootstrap/workbench-image/runtime-images/tensorflow-ubi9-py39.json deleted file mode 100644 index 2a9ead25..00000000 --- a/bootstrap/workbench-image/runtime-images/tensorflow-ubi9-py39.json +++ /dev/null @@ -1,9 +0,0 @@ -{ - "display_name": "TensorFlow with CUDA and Python 3.9 (UBI9)", - "metadata": { - "tags": [], - "display_name": "TensorFlow with CUDA and Python 3.9 (UBI9)", - "image_name": "quay.io/opendatahub/workbench-images:runtime-cuda-tensorflow-ubi9-python-3.9-6a6098d" - }, - "schema_name": "runtime-image" -} \ No newline at end of file diff --git a/bootstrap/workbench-image/runtime-images/ubi9-py39.json b/bootstrap/workbench-image/runtime-images/ubi9-py39.json deleted file mode 100644 index 9b4567ab..00000000 --- a/bootstrap/workbench-image/runtime-images/ubi9-py39.json +++ /dev/null @@ -1,9 +0,0 @@ -{ - "display_name": "Python 3.9 (UBI9)", - "metadata": { - "tags": [], - "display_name": "Python 3.9 (UBI9)", - "image_name": "quay.io/opendatahub/workbench-images:runtime-minimal-ubi9-python-3.9-6a6098d" - }, - "schema_name": "runtime-image" -} \ No newline at end of file diff --git a/bootstrap/workbench-image/setup-elyra.sh b/bootstrap/workbench-image/setup-elyra.sh deleted file mode 100644 index d9b08b39..00000000 --- a/bootstrap/workbench-image/setup-elyra.sh +++ /dev/null @@ -1,24 +0,0 @@ -#!/bin/bash -set -x - -# Set the elyra config on the right path -jupyter elyra --generate-config -cp /opt/app-root/bin/utils/jupyter_elyra_config.py /opt/app-root/src/.jupyter/ - -# create the elyra runtime directory if not present -if [ ! -d $(jupyter --data-dir)/metadata/runtimes/ ]; then - mkdir -p $(jupyter --data-dir)/metadata/runtimes/ -fi -# Set elyra runtime config from volume mount -if [ "$(ls -A /opt/app-root/runtimes/)" ]; then - cp -r /opt/app-root/runtimes/..data/*.json $(jupyter --data-dir)/metadata/runtimes/ -fi - -# Environment vars set for accessing ssl_sa_certs and sa_token -# export PIPELINES_SSL_SA_CERTS="/var/run/secrets/kubernetes.io/serviceaccount/ca.crt" -export KF_PIPELINES_SA_TOKEN_ENV="/var/run/secrets/kubernetes.io/serviceaccount/token" -export KF_PIPELINES_SA_TOKEN_PATH="/var/run/secrets/kubernetes.io/serviceaccount/token" -# Environment vars set for accessing following dependencies for air-gapped enviroment -export ELYRA_BOOTSTRAP_SCRIPT_URL="file:///opt/app-root/bin/utils/bootstrapper.py" -export ELYRA_PIP_CONFIG_URL="file:///opt/app-root/bin/utils/pip.conf" -export ELYRA_REQUIREMENTS_URL="file:///opt/app-root/bin/utils/requirements-elyra.txt" \ No newline at end of file diff --git a/bootstrap/workbench-image/start-notebook.sh b/bootstrap/workbench-image/start-notebook.sh deleted file mode 100755 index da656907..00000000 --- a/bootstrap/workbench-image/start-notebook.sh +++ /dev/null @@ -1,45 +0,0 @@ -#!/usr/bin/env bash - -# Load bash libraries -SCRIPT_DIR=/opt/app-root/bin -source ${SCRIPT_DIR}/utils/process.sh - -if [ -f "${SCRIPT_DIR}/utils/setup-elyra.sh" ]; then - source ${SCRIPT_DIR}/utils/setup-elyra.sh -fi - -# Initialize notebooks arguments variable -NOTEBOOK_PROGRAM_ARGS="" - -# Set default ServerApp.port value if NOTEBOOK_PORT variable is defined -if [ -n "${NOTEBOOK_PORT}" ]; then - NOTEBOOK_PROGRAM_ARGS+="--ServerApp.port=${NOTEBOOK_PORT} " -fi - -# Set default ServerApp.base_url value if NOTEBOOK_BASE_URL variable is defined -if [ -n "${NOTEBOOK_BASE_URL}" ]; then - NOTEBOOK_PROGRAM_ARGS+="--ServerApp.base_url=${NOTEBOOK_BASE_URL} " -fi - -# Set default ServerApp.root_dir value if NOTEBOOK_ROOT_DIR variable is defined -if [ -n "${NOTEBOOK_ROOT_DIR}" ]; then - NOTEBOOK_PROGRAM_ARGS+="--ServerApp.root_dir=${NOTEBOOK_ROOT_DIR} " -else - NOTEBOOK_PROGRAM_ARGS+="--ServerApp.root_dir=${HOME} " -fi - -# Add additional arguments if NOTEBOOK_ARGS variable is defined -if [ -n "${NOTEBOOK_ARGS}" ]; then - NOTEBOOK_PROGRAM_ARGS+=${NOTEBOOK_ARGS} -fi - -# Add .bashrc for custom promt if not present -if [ ! -f "/opt/app-root/src/.bashrc" ]; then - echo 'PS1="\[\033[34;1m\][\$(pwd)]\[\033[0m\]\n\[\033[1;0m\]$ \[\033[0m\]"' > /opt/app-root/src/.bashrc -fi - -# Start the JupyterLab notebook -start_process jupyter lab ${NOTEBOOK_PROGRAM_ARGS} \ - --ServerApp.ip=0.0.0.0 \ - --ServerApp.allow_origin="*" \ - --ServerApp.open_browser=False diff --git a/bootstrap/workbench-image/utils/component_runtime.json b/bootstrap/workbench-image/utils/component_runtime.json deleted file mode 100644 index a1e84196..00000000 --- a/bootstrap/workbench-image/utils/component_runtime.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "title": "Runtime Type", - "description": "The type of runtime associated with this Component Catalog", - "type": "string", - "enum": ["KUBEFLOW_PIPELINES"], - "default": "KUBEFLOW_PIPELINES", - "uihints": { - "hidden": true - } -} \ No newline at end of file diff --git a/bootstrap/workbench-image/utils/jupyter_elyra_config.py b/bootstrap/workbench-image/utils/jupyter_elyra_config.py deleted file mode 100644 index caa1981d..00000000 --- a/bootstrap/workbench-image/utils/jupyter_elyra_config.py +++ /dev/null @@ -1,11 +0,0 @@ -# Configuration file for elyra. -# Pre-generated via `jupyter elyra --generate-config` -# Editted out the rest of the content, use the above command to get additional config sections. - -c = get_config() #noqa - -#------------------------------------------------------------------------------ -# PipelineProcessorRegistry(SingletonConfigurable) configuration -#------------------------------------------------------------------------------ - -c.PipelineProcessorRegistry.runtimes = ['kfp'] \ No newline at end of file diff --git a/bootstrap/workbench-image/utils/kfp_authentication.patch b/bootstrap/workbench-image/utils/kfp_authentication.patch deleted file mode 100644 index 3b4b776d..00000000 --- a/bootstrap/workbench-image/utils/kfp_authentication.patch +++ /dev/null @@ -1,18 +0,0 @@ ---- a/kfp_authentication.py 2023-06-09 10:13:11.412910808 -0400 -+++ b/kfp_authentication.py 2023-06-09 10:14:39.879565175 -0400 -@@ -230,6 +230,7 @@ - """ - - kf_url = urlsplit(api_endpoint)._replace(path="").geturl() -+ kf_pipelines_ssl_sa_cert = os.getenv("PIPELINES_SSL_SA_CERTS", None) - - # return data structure for successful requests - auth_info = { -@@ -239,6 +240,7 @@ - "cookies": None, # passed to KFP SDK client as "cookies" param value - "credentials": None, # passed to KFP SDK client as "credentials" param value - "existing_token": None, # passed to KFP SDK client as "existing_token" param value -+ "ssl_ca_cert": kf_pipelines_ssl_sa_cert, # passed to KFP SDK Client as "ssl_ca_cert" param value - } - - try: diff --git a/bootstrap/workbench-image/utils/pipeline-flow.svg b/bootstrap/workbench-image/utils/pipeline-flow.svg deleted file mode 100644 index d265fe8b..00000000 --- a/bootstrap/workbench-image/utils/pipeline-flow.svg +++ /dev/null @@ -1,7 +0,0 @@ - - - - - - \ No newline at end of file diff --git a/bootstrap/workbench-image/utils/process.sh b/bootstrap/workbench-image/utils/process.sh deleted file mode 100755 index 6b69254b..00000000 --- a/bootstrap/workbench-image/utils/process.sh +++ /dev/null @@ -1,19 +0,0 @@ -#!/usr/bin/env bash - -function start_process() { - trap stop_process TERM INT - - echo "Running command: $@" - "$@" & - - PID=$! - wait $PID - trap - TERM INT - wait $PID - STATUS=$? - exit $STATUS -} - -function stop_process() { - kill -TERM $PID -} \ No newline at end of file diff --git a/bootstrap/workbench-image/utils/processor_kfp.patch b/bootstrap/workbench-image/utils/processor_kfp.patch deleted file mode 100644 index 1f341daf..00000000 --- a/bootstrap/workbench-image/utils/processor_kfp.patch +++ /dev/null @@ -1,38 +0,0 @@ ---- a/processor_kfp.py 2023-06-09 10:19:08.882563609 -0400 -+++ b/processor_kfp.py 2023-07-13 19:31:43.572407879 -0400 -@@ -213,6 +213,7 @@ - credentials=auth_info.get("credentials", None), - existing_token=auth_info.get("existing_token", None), - namespace=user_namespace, -+ ssl_ca_cert=auth_info.get("ssl_ca_cert", None), - ) - else: - client = ArgoClient( -@@ -416,7 +417,7 @@ - - # create pipeline run (or specified pipeline version) - run = client.run_pipeline( -- experiment_id=experiment.id, job_name=job_name, pipeline_id=pipeline_id, version_id=version_id -+ experiment_id=experiment.id, job_name=job_name, pipeline_id=pipeline_id, version_id=pipeline_id - ) - - except Exception as ex: -@@ -435,7 +436,7 @@ - - self.log_pipeline_info( - pipeline_name, -- f"pipeline submitted: {public_api_endpoint}/#/runs/details/{run.id}", -+ f"pipeline submitted: {public_api_endpoint}/{run.id}", - duration=time.time() - t0, - ) - -@@ -451,7 +452,7 @@ - - return KfpPipelineProcessorResponse( - run_id=run.id, -- run_url=f"{public_api_endpoint}/#/runs/details/{run.id}", -+ run_url=f"{public_api_endpoint}/{run.id}", - object_storage_url=object_storage_url, - object_storage_path=object_storage_path, - - ) diff --git a/bootstrap/workbench-image/utils/test_notebook.ipynb b/bootstrap/workbench-image/utils/test_notebook.ipynb deleted file mode 100644 index a61c0d81..00000000 --- a/bootstrap/workbench-image/utils/test_notebook.ipynb +++ /dev/null @@ -1,35 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "d9d5de4c-07a0-46dd-a60d-6c8f688cc80c", - "metadata": {}, - "outputs": [], - "source": [ - "print('It works!')" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/content/antora.yml b/content/antora.yml deleted file mode 100644 index 51eeccb7..00000000 --- a/content/antora.yml +++ /dev/null @@ -1,41 +0,0 @@ -name: modules -title: Navigation -version: ~ -nav: - - modules/ROOT/nav.adoc - -asciidoc: - attributes: - release-version: dev - page-pagination: true - experimental: - numbered: - lab_name: "OpenShift AI Unleashed: Transforming Claims Processing for Maximum Efficiency!" - guid: my-guid - ssh_user: lab-user - ssh_password: lab-user - ssh_command: ssh lab-user@bastion.{guid}.example.opentlc.com - minio-user: minio - minio-pass: minio123 - minio-endpoint: http://minio.ic-shared-minio.svc.cluster.local:9000/ - git-clone-repo-url: https://github.com/rh-aiservices-bu/parasol-insurance.git - git-clone-repo-branch: dev - user: userX - password: openshift - openshift_console_url: https://PLACEHOLDER-URL.com/ - openshift_cluster_ingress_domain: PLACEHOLDER-URL.com - rhoai_dashboard_url: https://rhods-dashboard-redhat-ods-applications.{openshift_cluster_ingress_domain}/ - login_command: oc login --insecure-skip-tls-verify=false -u userX -p openshift https://api.MYCLUSTER.com:6443" - rhoai: "Red Hat OpenShift AI" - rhoai-short: "RHOAI" - ocp: "OpenShift Container Platform" - ocp-short: "OpenShift" - argocd: "ArgoCD" - ocp-gitops: "OpenShift GitOps" - company-name: "Parasol Insurance" - ic-lab: 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target, attrs) => { - const contents = require('child_process').execFileSync('curl', ['--silent', '-L', target], { encoding: 'utf8' }) - reader.pushInclude(contents, target, target, 1, attrs) - }) - }) - } - \ No newline at end of file diff --git a/content/lib/tab-block.js b/content/lib/tab-block.js deleted file mode 100644 index 972dc9eb..00000000 --- a/content/lib/tab-block.js +++ /dev/null @@ -1,99 +0,0 @@ -/* Copyright (c) 2018 OpenDevise, Inc. - * - * This Source Code Form is subject to the terms of the Mozilla Public - * License, v. 2.0. If a copy of the MPL was not distributed with this - * file, You can obtain one at http://mozilla.org/MPL/2.0/. */ - -/** - * Extends the AsciiDoc syntax to support a tabset. The tabset is created from - * a dlist enclosed in an example block that is marked with the tabs style. - * - * Usage: - * - * [tabs] - * ==== - * Tab A:: - * + - * -- - * Contents of tab A. - * -- - * Tab B:: - * + - * -- - * Contents of tab B. - * -- - * ==== - * - * @author Dan Allen - */ -const IdSeparatorCh = "-"; -const ExtraIdSeparatorsRx = /^-+|-+$|-(-)+/g; -const InvalidIdCharsRx = /[^a-zA-Z0-9_]/g; -const List = Opal.const_get_local(Opal.module(null, "Asciidoctor"), "List"); -const ListItem = Opal.const_get_local( - Opal.module(null, "Asciidoctor"), - "ListItem" -); - -const generateId = (str, idx) => - `tabset${idx}_${str - .toLowerCase() - .replace(InvalidIdCharsRx, IdSeparatorCh) - .replace(ExtraIdSeparatorsRx, "$1")}`; - -function tabsBlock() { - this.onContext("example"); - this.process((parent, reader, attrs) => { - const createHtmlFragment = html => this.createBlock(parent, "pass", html); - const tabsetIdx = parent.getDocument().counter("idx-tabset"); - const nodes = []; - nodes.push(createHtmlFragment('

')); - const container = this.parseContent( - this.createBlock(parent, "open"), - reader - ); - const sourceTabs = container.getBlocks()[0]; - if ( - !( - sourceTabs && - sourceTabs.getContext() === "dlist" && - sourceTabs.getItems().length - ) - ) - return; - const tabs = List.$new(parent, "ulist"); - tabs.addRole("tabs"); - const panes = {}; - sourceTabs.getItems().forEach(([[title], details]) => { - const tab = ListItem.$new(tabs); - tabs.$append(tab); - const id = generateId(title.getText(), tabsetIdx); - tab.text = `[[${id}]]${title.text}`; - let blocks = details.getBlocks(); - const numBlocks = blocks.length; - if (numBlocks) { - if (blocks[0].context === "open" && numBlocks === 1) - blocks = blocks[0].getBlocks(); - panes[id] = blocks.map(block => (block.parent = parent) && block); - } - }); - nodes.push(tabs); - nodes.push(createHtmlFragment('
')); - Object.entries(panes).forEach(([id, blocks]) => { - nodes.push( - createHtmlFragment(`
`) - ); - nodes.push(...blocks); - nodes.push(createHtmlFragment("
")); - }); - nodes.push(createHtmlFragment("
")); - nodes.push(createHtmlFragment("
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    LLM Server
    LLM Server
    Claims Database
    (PostgreSQL)
    Claims Database...
    Application Backend
    (Python)
    Application Backend...
    Application Frontend
    (React)
    Application Frontend...
    Claims Images
    (S3 Storage)
    Claims Images...
    VectorDB
    (Milvus)
    VectorDB...    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"Hello World" \ No newline at end of file diff --git a/content/modules/ROOT/gen.py b/content/modules/ROOT/gen.py deleted file mode 100644 index eebb6732..00000000 --- a/content/modules/ROOT/gen.py +++ /dev/null @@ -1,38 +0,0 @@ -#%% -import re -import os - -def extract_file_names(content): - pattern = r'xref:(.*?)[\[\*]' - matches = re.findall(pattern, content) - # print(matches) - return matches -#%% - - -def create_files(file_names): - for name in file_names: - name = "pages/"+name - file_path = f"{name}" - print(file_path) - if not os.path.exists(file_path): - with open(file_path, "w") as file: - file.write(f"= {name}\n\n") - else: - print(f"File '{file_path}' already exists. Skipping.") - - -#%% - -def main(): - with open("nav.adoc", "r") as nav_file: - content = nav_file.read() - - file_names = extract_file_names(content) - - create_files(file_names) -#%% - -if __name__ == "__main__": - main() -# %% diff --git a/content/modules/ROOT/nav.adoc b/content/modules/ROOT/nav.adoc deleted file mode 100644 index 2128b594..00000000 --- a/content/modules/ROOT/nav.adoc +++ /dev/null @@ -1,45 +0,0 @@ -* 1. Background -** xref:01-01-setting-stage.adoc[1.1 Setting the stage] -** xref:01-02-current-process.adoc[1.2 Current Process] -** xref:01-03-proposed-improvements.adoc[1.3 Proposed Improvements] -** xref:01-04-examples-from-prototype.adoc[1.4 Examples from prototype] -** xref:01-05-results.adoc[1.5 Results and Next Steps] - -* 2. Connection and Setup ({user}) -** xref:02-01-getting-connected.adoc[2.1 Getting connected] -** xref:02-02-auto-created-project.adoc[2.2 Pre-Created project and pipeline server] -// ** xref:02-02-diy-creating-project.adoc[2.2 (DIY) Creating your project and pipeline server] -** xref:02-03-auto-created-workbench.adoc[2.3 Pre-Created workbench] -// ** xref:02-03-diy-creating-workbench.adoc[2.3 (DIY) Creating your workbench] -** xref:02-04-first-jupyter-notebook.adoc[2.4 Your first Jupyter Notebook] -** xref:02-05-validating-env.adoc[2.5 Validating the environment] - -* 3. Working with an LLM -** xref:03-01-notebook-based-llm.adoc[3.1 Notebook-Based LLM Example] -** xref:03-02-summarization.adoc[3.2 Text Summarization] -** xref:03-03-information-extractions.adoc[3.3 Information Extraction] -** xref:03-04-comparing-model-servers.adoc[3.4 Comparing Model Servers] -** xref:03-05-retrieval-augmented-generation.adoc[3.5 Retrieval-Augmented Generation] -** xref:03-06-confidence-check.adoc[3.6 Confidence-check pipeline] -** xref:03-07-prompt-engineering.adoc[3.7 Prompt Engineering Exercise (Optional)] - -* 4. Image Processing -** xref:04-01-over-approach.adoc[4.1 Overall Approach] -** xref:04-02-car-recog.adoc[4.2 Car recognition (Optional)] -** xref:04-03-model-retraining.adoc[4.3 Model retraining (Optional)] -** xref:04-04-accident-recog.adoc[4.4 Accident/Damage recognition (Optional)] -** xref:04-05-model-serving.adoc[4.5 Model Serving] - -* 5. Web App Deployment -** xref:05-01-application.adoc[5.1 Application overview] -** xref:05-02-openshift-terminal.adoc[5.2 OpenShift Terminal] -** xref:05-03-web-app-deploy-application.adoc[5.3 Deploying the application via GitOps] -** xref:05-04-web-app-validating.adoc[5.4 Validating the application] -** xref:05-05-process-claims.adoc[5.5 Process claims with a pipeline] - -* 6. Productization and Extrapolations -** xref:06-01-potential-imp-ref.adoc[6.1 Potential improvements and refinements] -** xref:06-02-applicability-other.adoc[6.2 Applicability to other industries] - -* 7. End of Lab -** xref:07-01-end-of-lab.adoc[7.1 Thanks] diff --git a/content/modules/ROOT/pages/01-01-setting-stage.adoc b/content/modules/ROOT/pages/01-01-setting-stage.adoc deleted file mode 100644 index fbb2870f..00000000 --- a/content/modules/ROOT/pages/01-01-setting-stage.adoc +++ /dev/null @@ -1,18 +0,0 @@ -= Setting the stage -include::_attributes.adoc[] - -In order to make this {ic-lab} seem more realistic, we will be describing this imaginary scenario. - -== Situation -:slide: - -* We all work for a large multi-national insurance company called "{company-name}": -** {company-name} is in the midst of digital transformation -** It is looking at modernizing practices and leveraging new technologies -* A small team was asked to: -** Review the way insurance claims are currently being processed -** Provide advice on potential improvements -* That team is currently very small (about 4 people): -** Findings will be presented to the board -** If they are convincing, the team will be granted the resources to implement the recommendations -* The next sections in this chapter are the materials that were presented to the board diff --git a/content/modules/ROOT/pages/01-02-current-process.adoc b/content/modules/ROOT/pages/01-02-current-process.adoc deleted file mode 100644 index 4f013a86..00000000 --- a/content/modules/ROOT/pages/01-02-current-process.adoc +++ /dev/null @@ -1,19 +0,0 @@ -= Review of current claims processing -include::_attributes.adoc[] -:slide: - -* Claims can come in from multiple mediums: -** email -** fax -** phone -** web form -* All formats will have to be transcribed into the web form for better uniformity - -* Claims have to be processed by (human) claims adjusters -** They spend an aggregated average of 7 hours/claim -** We estimate that human errors account for $2.5M/year in lost revenue -** Another $3.5M/year is likely lost due to insurance fraud -* There are a lot of inefficiencies! -** Adjusters report "workload-fatigue", i.e. making mistakes due to the repetitive nature of the work. -** It also takes a long time to train new adjusters into the specific policies of the companies. -** Encoding some of that tribal knowledge into a software product is highly desirable. diff --git a/content/modules/ROOT/pages/01-03-proposed-improvements.adoc b/content/modules/ROOT/pages/01-03-proposed-improvements.adoc deleted file mode 100644 index 7be541a7..00000000 --- a/content/modules/ROOT/pages/01-03-proposed-improvements.adoc +++ /dev/null @@ -1,20 +0,0 @@ -= Proposed Improvements -include::_attributes.adoc[] -:slide: - - -* Recommendations: -** Progressive, step-wise, implementation -** Use various AI/ML tools and techniques to **assist** the adjusters -** Provide support for low-level, repetitive tasks -*** Point out areas in need of review -*** Help with parsing and data extraction -*** Reduce repetition fatigue -* Goals: -** Bring average processing time from 7h/claim down to 2h/claim -** Reduce human error by 80% -** Improve fraud detection by 25% -* Requirements: -** More precise measurements of performance: -**** At baseline -**** After every change/improvement diff --git a/content/modules/ROOT/pages/01-04-examples-from-prototype.adoc b/content/modules/ROOT/pages/01-04-examples-from-prototype.adoc deleted file mode 100644 index 7b5172b5..00000000 --- a/content/modules/ROOT/pages/01-04-examples-from-prototype.adoc +++ /dev/null @@ -1,46 +0,0 @@ -= Examples from prototyping work -include::_attributes.adoc[] - -The examples below are what we hope to achieve through our prototype version of the improved process. - -== Using an LLM for text summarization - -* Allows for faster reading by the claims adjuster: -+ -[.bordershadow] -image::01/proto-summary.png[test image] - -== Using an LLM for information extraction - -* Extract key pieces of information for better population of database: -+ -[.bordershadow] -image::01/proto-info-extract.png[ info extraction] - -== Using an LLM for sentiment analysis - -* Detect tone of text, and potentially act on it: -+ -[.bordershadow] -image::01/proto-sentiment-analysis.png[] - -== Using image recognition to frame vehicle(s) in pictures - -* Analyse images provided by customer: -+ -[.bordershadow] -image::01/proto-car-recog.png[] - -== Using image recognition to detect damage - -* Assessment of damage based on picture: -+ -[.bordershadow] -image::01/proto-accident-grading.png[] - -== Web Application to review/process claims - -* Have an application that ties in these tools together and enables users to process the incoming claims more efficiently: -+ -[.bordershadow] -image::01/proto-claims-processing-app.png[] diff --git a/content/modules/ROOT/pages/01-05-results.adoc b/content/modules/ROOT/pages/01-05-results.adoc deleted file mode 100644 index 72760369..00000000 --- a/content/modules/ROOT/pages/01-05-results.adoc +++ /dev/null @@ -1,17 +0,0 @@ -= Results -include::_attributes.adoc[] - -== Board was convinced! -:slide: - -* Great news! The {company-name} has decided to fully fund this project! -* We can now move from the prototyping phase to the production phase! -* We have decided to hire all of you fine people to be part of the team that will build and implement the complete solution - -== Next steps - -We know that you all have various background and responsibilities (Coders, IT, DevOps, Data Scientists, etc..). - -But before you start working in your narrow area of specialization, we want you all to have a decent understanding of all the work that was done during the prototype phase. - -The next 75 minutes is your official training session, for you to ramp up and gain an understanding of the various technologies involved during the prototype phase. diff --git a/content/modules/ROOT/pages/02-01-getting-connected.adoc b/content/modules/ROOT/pages/02-01-getting-connected.adoc deleted file mode 100644 index ecb4fd47..00000000 --- a/content/modules/ROOT/pages/02-01-getting-connected.adoc +++ /dev/null @@ -1,55 +0,0 @@ -= Getting connected -include::_attributes.adoc[] - -For the purposes of this training session, we have provisioned a single {ocp} cluster, with {rhoai} deployed on it. - -Each person attending this lab will have a unique user account in which to do their work. - -== Environment information - -If you are using the customized version of the instructions, the information below will render properly. If not, you will see placeholder values instead. - -* Your account id: `{user}` -* Your password: `{password}` - -In a new window or tab, open the following URL and log in: - -* The {rhoai} Dashboard URL for our shared environment: -** https://rhods-dashboard-redhat-ods-applications.{openshift_cluster_ingress_domain}/[https://rhods-dashboard-redhat-ods-applications.{openshift_cluster_ingress_domain}/,window=_blank] -* Click on the `Login with OpenShift` button: -+ -[.bordershadow] -image::02/02-01-login3.png[width=50%] -* Enter your credentials (as detailed above) -* The result should look like: -+ -[.bordershadow] -image::02/02-01-login1.png[width=50%] - -* Because the password is so simple (`{password}`), your browser might display a scary message such as: -+ -[.bordershadow] -image::02/02-01-login-scary.png[] -* It is safe here to ignore this message when it pops up. - -* After you authenticate, the result should look like: -+ -[.bordershadow] -image::02/02-01-rhoai-front-page.png[] - -If you got this far and saw all that, congratulations, you properly connected to the {rhoai} Dashboard Application! - -We are now ready to start the {ic}. - -== Getting Support during Red Hat Summit - -* In the room: -** Some very kind colleagues of ours will be walking around in the room, to help and/or answer questions. -** If you run into a particular issue, call out to one of them and quietly explain what the issue is. - -// ** If they are unsure or if it's likely to be a long explanation, they might ask you to "post the question in slack" instead. (see below) -// * Over Slack: -// ** We have a dedicated Slack Channel where more colleagues (who kindly agreed to stay up late) will try to answer questions. -// ** Head over to the slack channel called https://redhat.enterprise.slack.com/archives/C066EQ8LWBS[#rh1-insurance-claims-lab,window=_blank] -// ** Post a message such as `I am userX and I have an issue with exercise number 2.4` -// ** Use the https://slack.com/help/articles/115000769927-Use-threads-to-organize-discussions-[threads,window=_blank] feature in slack to then post a screenshot of a description of the issue, in-thread. diff --git a/content/modules/ROOT/pages/02-02-auto-created-project.adoc b/content/modules/ROOT/pages/02-02-auto-created-project.adoc deleted file mode 100644 index b145547d..00000000 --- a/content/modules/ROOT/pages/02-02-auto-created-project.adoc +++ /dev/null @@ -1,26 +0,0 @@ -= Pre-Created project and pipeline server -include::_attributes.adoc[] - -In order to give you a feel for what "day 2" experience would be like, we have pre-created a Project for you, and started to populate it with various artifacts. - -// If you want to learn more about the product and go deeper, the next ("DIY") section will walk you through the steps required to create all this from scratch instead. - -== Go to your project - -* First, in the {rhoai} Dashboard application, navigate to the Data Science Projects menu on the left: -+ -[.bordershadow] -image::02/02-02-ds-proj-nav.png[] - -* Then, open the project called {user}. - -* Inside the project you should see a few items that already have been pre-created: -+ -[.bordershadow] -image::02/02-02-pre-created-components.png[] - -* These components are as follows: -1. A Workbench - this is your environment that you can experiment and train in. -2. A Cluster storage - this is a persistent storage for your workbench. -3. A Data Connection - it contains all the information needed to talk with an existing S3 storage, we use that to store models and pipeline artifacts. -4. A Pipeline Server - the pipeline server has already been set up here so you can import or run data science pipelines right away. diff --git a/content/modules/ROOT/pages/02-02-diy-creating-project.adoc b/content/modules/ROOT/pages/02-02-diy-creating-project.adoc deleted file mode 100644 index 1c917137..00000000 --- a/content/modules/ROOT/pages/02-02-diy-creating-project.adoc +++ /dev/null @@ -1,121 +0,0 @@ -= Creating your project and pipeline server -include::_attributes.adoc[] - -IMPORTANT: If you've used the auto-created project, you do not need to perform this section. Only do so if you are interested in how a project and pipeline server are created. - -As a preliminary step, each of you is going to: - -. Create a Data Science project: -** this will help keep your things together - -. Create a Data Connection: -** we need that for the pipeline server to store its artifacts - -. Deploy a Data Science Pipeline Server: -** we will need one, and it's better to create it from the start - -. Launch a Workbench: -** we will use it to review content and notebooks - -. Clone the git repo into your Workbench: -** this contains all the code from the prototype - -The instructions below will guide you through these steps. Follow them carefully. - -== Create a project - -* First, in the {rhoai} Dashboard application, navigate to the Data Science Projects menu on the left: -+ -[.bordershadow] -image::02/02-02-ds-proj-nav.png[] - -* Create a project with the **same name** as your user id -** You have been assigned a unique user ID: `{user}` -** You need to now create a project with the exact same name: `{user}` -+ -IMPORTANT: Your assigned user is {user}. Don't mess that up or things will break later on - -* Leave the resource name unchanged -* Optionally, enter your first and last name in the description of the project. -* It should look like this: -+ -[.bordershadow] -image::02/02-02-create-project.png[] -+ -IMPORTANT: It should **NOT** be `userX` like in the screenshot. (for you, `X` should be a number instead) - -== Create a Data Connection for the pipeline server - -* We have deployed an instance of Minio in the cluster to act as a simple Object Storage for our purposes. -* You will need to **Add data connection** that points to it. -+ -[.bordershadow] -image::02/02-02-add-dc.png[] - -* Here is the information you need to enter: -** Name: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -Shared Minio - pipelines -** Access Key: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -{minio-user} -** Secret Key: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -{minio-pass} -** Endpoint: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -{minio-endpoint} -** Region: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -none -** Bucket: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -{user} -+ -IMPORTANT: Once again, the bucket you will use has to match with the user ID you were provided - -* The result should look like: -+ -[.bordershadow] -image::02/data-connection.png[] - -== Create a Pipeline Server - -It is highly recommended to create your pipeline server before creating a workbench. So let's do that now! - -* In your Data Science Project (DSP), click on **Configure pipeline Server** -+ -[.bordershadow] -image::02/02-02-pipelineserver01.png[] - -* Select the Key Drop-Down with the option of *"Populate the form with credentials from your selected data connection"* using the Data Connection created earlier (**Shared Minio - pipelines**) and click the **Configure pipeline server** button: -+ -[.bordershadow] -image::02/02-02-pipelineserver02.png[] - -* When your pipeline server is ready, your screen will look like the following: -+ -[.bordershadow] -image::02/02-02-pipelineserver03.png[] - -At this point, your pipeline server is ready and deployed. - -IMPORTANT: You need to **wait** until that screen is ready. If it's still spinning, wait for it to complete. If you continue and create your workbench **before** the pipeline server is ready, your workbench will not be able to submit Data Science pipelines to it. diff --git a/content/modules/ROOT/pages/02-03-auto-created-workbench.adoc b/content/modules/ROOT/pages/02-03-auto-created-workbench.adoc deleted file mode 100644 index a47ff714..00000000 --- a/content/modules/ROOT/pages/02-03-auto-created-workbench.adoc +++ /dev/null @@ -1,33 +0,0 @@ -= Pre-Created workbench -include::_attributes.adoc[] - -One of the components that was pre-created for you is the workbench. - -* If you click on the arrow next to the workbench, you can see some of the libraries included in it as well as how much resources it has been given. -+ -[.bordershadow] -image::02/02-03-pre-created-workbench-info.png[] - -* To connect to the workbench, click the **Open** link: -+ -[.bordershadow] -image::02/02-03-open-link.png[] - -* Then: - -** Authenticate with the same credentials as earlier: -*** Your account id: `{user}` -*** Your password: `{password}` -* You will be asked to accept the following settings: -+ -[.bordershadow] -image::02/02-02-accept.png[] - -* Click on *Allow selected permissions* -* You should now see this: -+ -[.bordershadow] -image::02/02-03-pre-created-jupyter.png[] - -* Note the extra folder called **parasol-insurance**. + -* This folder has been cloned from github for you and will be the main working folder for this lab. \ No newline at end of file diff --git a/content/modules/ROOT/pages/02-03-diy-creating-workbench.adoc b/content/modules/ROOT/pages/02-03-diy-creating-workbench.adoc deleted file mode 100644 index 92e94672..00000000 --- a/content/modules/ROOT/pages/02-03-diy-creating-workbench.adoc +++ /dev/null @@ -1,62 +0,0 @@ -= Creating a workbench -include::_attributes.adoc[] - -IMPORTANT: If you've used the pre-created workbench, you do not need to perform this section. Only do so if you are interested in how a workbench is created. - -== Launch a Workbench - -* Once the Data Connection and Pipeline Server are fully created, create a Workbench: -+ -[.bordershadow] -image::02/02-03-create-wb.png[] -* Make sure it has the following characteristics: -** Choose a name for it, like: `My Workbench` -** Image Selection: `CUSTOM - {ic} Workbench` -** Container Size: `Standard` -** Accelerator: `None` -* That should look like: -+ -[.bordershadow] -image::02/02-02-launch-workbench-01.png[] -NOTE: You should **not** need to modify any other Workbench settings (such as Storage) -* Wait for your workbench to be fully started -* Once it is, click the **Open** Link to connect to it: -+ -[.bordershadow] -image::02/02-03-open-link.png[] - -* Authenticate with the same credentials as earlier -* You will be asked to accept the following settings: -+ -[.bordershadow] -image::02/02-02-accept.png[] - -* Click on *Allow selected permissions* -* You should now see this: -+ -[.bordershadow] -image::02/02-02-jupyter.png[] - -== Git-Clone the common repo - -We will clone the content of our Git repo so that you can access all the materials that were created as part of our prototyping exercise. - -* Using the Git UI: -** Open the Git UI in Jupyter: -+ -[.bordershadow] -image::02/git-clone-1.png[] -+ -** Enter the URL of the Git repo: -+ -[.console-input] -[source,adoc] -[subs=attributes+] ----- -{git-clone-repo-url} ----- -+ -[.bordershadow] -image::02/git-clone-2.png[] - -At this point, your project is ready for the work we want to do in it. diff --git a/content/modules/ROOT/pages/02-04-first-jupyter-notebook.adoc b/content/modules/ROOT/pages/02-04-first-jupyter-notebook.adoc deleted file mode 100644 index 32f72aae..00000000 --- a/content/modules/ROOT/pages/02-04-first-jupyter-notebook.adoc +++ /dev/null @@ -1,63 +0,0 @@ -= Running code in a notebook -include::_attributes.adoc[] - -NOTE: If you're already at ease with Jupyter Notebooks, you can skip to the next section. - -A notebook is an environment where you have _cells_ that can display formatted text or code. - -This is an empty cell: - -[.bordershadow] -image::02/02-05-cell.png[Jupyter Cell] - -This is a cell with some code: - -[.bordershadow] -image::02/02-05-cell_code.png[Jupyter Cell Code] - -Code cells contain Python code that you can run interactively. You can modify the code and then run it. The code does not run on your computer or in the browser, but directly in the environment that you are connected to, *{rhoai}* in our case. - -You can run a code cell from the notebook interface or from the keyboard: - -* *From the user interface:* Select the cell (by clicking inside the cell or to the left side of the cell) and then click *Run* from the toolbar. -+ -[.bordershadow] -image::02/02-05-run_button.png[Jupyter Run] - -* *From the keyboard:* Press `CTRL`+`ENTER` to run a cell or press `SHIFT`+`ENTER` to run the cell and automatically select the next one. - -After you run a cell, you can see the result of its code as well as information about when the cell was run, as shown in this example: - -[.bordershadow] -image::02/02-05-cell_run.png[Jupyter run cell] - -When you save a notebook, the code and the results are saved. You can reopen the notebook to look at the results without having to run the program again, while still having access to the code. - -Notebooks are so named because they are like a physical _notebook_: you can take notes about your experiments (which you will do), along with the code itself, including any parameters that you set. You can see the output of the experiment inline (this is the result from a cell after it's run), along with all the notes that you want to take (to do that, from the menu switch the cell type from `Code` to `Markdown`). - -== Try It - -Now that you know the basics, give it a try! - -=== Procedure - -In your workbench: - -. In the left hand navigation menu, navigate to the folder called: `parasol-insurance/lab-materials/02` - -. Open the notebook called `02-04-first-jupyter-notebook.ipynb` - -. Experiment by, for example, running the existing cells, adding more cells and creating functions. -+ -You can do what you want - it's your environment and there is no risk of breaking anything or impacting other users. This environment isolation is also a great advantage brought by {rhoai}. -. Optionally, create a new notebook in which the code cells are run by using a Python 3 kernel: -.. Create a new notebook by either selecting *File ->New ->Notebook* or by clicking the Python 3 tile in the Notebook section of the launcher window: -+ -[.bordershadow] -image::02/02-05-new_notebook.png[alt text] - -You can use different kernels, with different languages or versions, to run in your notebook. - -.Additional resource - -* If you want to learn more about notebooks, go to https://jupyter.org/[the Jupyter site,window=_blank]. \ No newline at end of file diff --git a/content/modules/ROOT/pages/02-05-validating-env.adoc b/content/modules/ROOT/pages/02-05-validating-env.adoc deleted file mode 100644 index ddb12b19..00000000 --- a/content/modules/ROOT/pages/02-05-validating-env.adoc +++ /dev/null @@ -1,45 +0,0 @@ -= Validating the environment -include::_attributes.adoc[] - -Now that you are connected to your workbench, let's make sure that all the expected services are responding properly in the cluster. - -In your workbench: - -. In the left hand navigation menu, navigate to the folder called: `parasol-insurance/lab-materials/02` - -. Open the notebook called `02-05-validating.ipynb` - -. If you have never executed Cells in a Jupyter Notebook before, here is what you need to do: - -.. Click on the **Restart kernel and Run all Cells** link: -+ -[.bordershadow] -image::02/02-05-restart-and-run.png[] -.. Click **Restart** : -+ -[.bordershadow] -image::02/02-05-restart-kernel.png[] -+ -. Running these cells will confirm that all the lab-required services are responding. - -The output should look as follows: - -[source,console] ----- -Success: Minio is reachable on minio.ic-shared-minio.svc.cluster.local:9000 -Success: Gitea is reachable on gitea.gitea.svc.cluster.local:3000 -Success: Postgres Database is reachable on claimdb.ic-shared-db.svc.cluster.local:5432 -Success: LLM Service is reachable on llm.ic-shared-llm.svc.cluster.local:8000 -Success: LLM Service-FlanT5 is reachable on llm-flant5.ic-shared-llm.svc.cluster.local:3000 -Success: ModelMesh is reachable on modelmesh-serving.ic-shared-img-det.svc.cluster.local:8033 -Success: Milvus Vector DB is reachable on vectordb-milvus.ic-shared-milvus.svc.cluster.local:19530 ----- - -If the output of this notebook looks suspicious, please inform the people leading the {ic}. - -== Overall view - -This is a summarized visualization of how the environment is laid out: - -[.bordershadow] -image::02/ic-eng-diag.drawio.svg[] diff --git a/content/modules/ROOT/pages/03-01-notebook-based-llm.adoc b/content/modules/ROOT/pages/03-01-notebook-based-llm.adoc deleted file mode 100644 index b0135fd2..00000000 --- a/content/modules/ROOT/pages/03-01-notebook-based-llm.adoc +++ /dev/null @@ -1,8 +0,0 @@ -= Notebook-Based LLM Example -include::_attributes.adoc[] - -In this exercise, we will use a notebook to investigate how LLMs can be used. - -From the `parasol-insurance/lab-materials/03` folder, please open the notebook called `03-01-nb-llm-example.ipynb` and follow the instructions. - -When done, you can close the notebook and head to the next page. diff --git a/content/modules/ROOT/pages/03-02-summarization.adoc b/content/modules/ROOT/pages/03-02-summarization.adoc deleted file mode 100644 index 3a0b2766..00000000 --- a/content/modules/ROOT/pages/03-02-summarization.adoc +++ /dev/null @@ -1,8 +0,0 @@ -= Text Summarization -include::_attributes.adoc[] - -As part of our claim processing, we want to summarize the text of a claim. In the next notebook we will investigate how the LLM can be used to do this task. - -From the `parasol-insurance/lab-materials/03` folder, please open the notebook called `03-02-summarization.ipynb` and follow the instructions. - -When done, you can close the notebook and head to the next page. diff --git a/content/modules/ROOT/pages/03-03-information-extractions.adoc b/content/modules/ROOT/pages/03-03-information-extractions.adoc deleted file mode 100644 index 587331f5..00000000 --- a/content/modules/ROOT/pages/03-03-information-extractions.adoc +++ /dev/null @@ -1,8 +0,0 @@ -= Information Extraction -include::_attributes.adoc[] - -As part of our claim processing, we want to extract some information from the text of a claim. In the next notebook we will investigate how the LLM can be used to do this task. - -From the `parasol-insurance/lab-materials/03` folder, please open the notebook called `03-03-information-extraction.ipynb` and follow the instructions. - -When done, you can close the notebook and head to the next page. diff --git a/content/modules/ROOT/pages/03-04-comparing-model-servers.adoc b/content/modules/ROOT/pages/03-04-comparing-model-servers.adoc deleted file mode 100644 index 3dfdca63..00000000 --- a/content/modules/ROOT/pages/03-04-comparing-model-servers.adoc +++ /dev/null @@ -1,10 +0,0 @@ -= Comparing two LLMs -include::_attributes.adoc[] - -So far, for this {ic-lab}, we have used the model https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2[Mistral-7B Instruct v2,window=_blank]. Although lighter than other models, it is still quite heavy and we need a large GPU to run it. Would we get as good results with a smaller model running on a CPU only? Let's try! - -In this exercise, we'll pitch our previous model against a much smaller LLM called https://huggingface.co/google/flan-t5-small[flan-t5-large,window=_blank]. We'll compare the results and see if the smaller model is good enough for our use case. - -From the `parasol-insurance/lab-materials/03` folder, please open the notebook called `03-04-comparing-model-servers.ipynb` and follow the instructions. - -When done, you can close the notebook and head to the next page. diff --git a/content/modules/ROOT/pages/03-05-retrieval-augmented-generation.adoc b/content/modules/ROOT/pages/03-05-retrieval-augmented-generation.adoc deleted file mode 100644 index b9755f03..00000000 --- a/content/modules/ROOT/pages/03-05-retrieval-augmented-generation.adoc +++ /dev/null @@ -1,18 +0,0 @@ -= Retrieval-Augmented Generation - Extending the capabilities of our model -include::_attributes.adoc[] - -An LLM is a very capable tool, but only to the extent of the knowledge or information it has been trained on. After all, you only know what you know, right? But what if you need to ask a question that is not in the training data? Or what if you need to ask a question that is not in the training data, but is related to it? - -There are different ways to solve this problem, depending on the resources you have and the time or money you can spend on it. Here are a few options: - -- Fully retrain the model to include the information you need. For an LLM, it's only possible for a handful of companies in the world that can afford literally thousands of GPUs running for weeks. -- Fine-tune the model with this new information. This requires way less resources, and can usually be done in a few hours or minutes (depending on the size of the model). However as it does not fully retrain the model, the new information may not be completely integrated in the answers. Fine-tuning excels at giving a better understanding of a specific context or vocabulary, a little bit less on injecting new knowledge. Plus you have to retrain and redeploy the model anyway any time you want to add more information. -- Put this new information in a database and have the parts relevant to the query retrieved and added to this query as a context before sending it to the LLM. This technique is called **Retrieval Augmented Generation, or RAG**. It is interesting as you don't have to retrain or fine-tune the model to benefit of this new knowledge, that you can easily update at any time. - -We have already prepared a Vector Database using https://milvus.io/[Milvus,window=_blank], where we have stored (in the form of https://www.ibm.com/topics/embedding[Embeddings,window=_blank]) the content of the https://www.dmv.ca.gov/portal/handbook/california-driver-handbook/[California Driver's Handbook,window=_blank]. - -In this exercise, we are going to use the RAG technique to **make some queries about a Claim** and see how this new knowledge can help without having to modify our LLM. - -From the `parasol-insurance/lab-materials/03` folder, please open the notebook called `03-05-retrieval-augmented-generation.ipynb` and follow the instructions. - -When done, you can close the notebook and head to the next page. diff --git a/content/modules/ROOT/pages/03-06-confidence-check.adoc b/content/modules/ROOT/pages/03-06-confidence-check.adoc deleted file mode 100644 index 53ff5191..00000000 --- a/content/modules/ROOT/pages/03-06-confidence-check.adoc +++ /dev/null @@ -1,73 +0,0 @@ -= Confidence-Check Pipeline -include::_attributes.adoc[] - -== What will the pipeline do? -To make sure that everything works as we would expect it to, and that the model has not been tampered with, we will create a confidence-check pipeline that tests the model through its endpoint. + -We will test the response time, the response quality, and that the model hash has not changed. + -And to make sure it stays the same over time, we'll schedule that pipeline. - -== Deploy a confidence-check pipeline - -In the `parasol-insurance/lab-materials/03/06` folder there are two pipeline files, one `confidence_check.pipeline` and one `confidence_check.yaml` file. - -The `.pipeline` file can be opened in Elyra to be visually modified and executed, while the `.yaml` file can be imported into the pipeline server through the RHOAI Dashboard. + -Here we will be running the pipeline through Elyra. - -== What is Elyra? - -Elyra is a visual interface to build out pipelines. Think of it as your standard code editor, but drag-and-drop. This also means that we won't execute anything in/with Elyra, but just produce some code (or more specifically, a json in the case of Elyra) that later will be sent elsewhere for execution. - -In Elyra, you can drag-and-drop in Python, notebook, or R files into the dashboard and then connect them up into a workflow. + -You also have a button on the top-right side that allows you to expand additional settings for the pipeline and each step. + -[.bordershadow] -image::03/06-elyra-menu.png[] - -Using Elyra, you can get started quicly with prototyping and running pipelines. - -== Ad-Hoc execution - -Running it through Elyra is the same as doing an ad-hoc execution of the pipeline, as opposed to importing the pipeline which won't automatically execute it. - -. Start by going to your running workbench -. Navigate to the folder `parasol-insurance/lab-materials/03/06` -. Open up the `confidence_check.pipeline` file -. Here we can see that the pipeline consists of 3 checks: -.. response quality check -.. response time check -.. security check -. Feel free to peek into each of the python files by double clicking on the nodes to see what they do. + -. After the tests have been run, we have a final function that will summarize the results and log them. -. To run the pipeline, press the Play button in the menu bar. -+ -[.bordershadow] -image::03/07-elyra-pipeline.png[elyra confidence pipeline] -. You may get a warning that the pipeline is unsaved, this is normal, just press **Save and Submit** if this happens. -+ -[.bordershadow] -image::03/03-06-unsaved-changes.png[] -. In the next popup, leave the name unchanged and click **OK**: -+ -[.bordershadow] -image::03/03-07-run-pipeline-ok.png[] - -. When you get a popup that says **Job submission to Data Science Pipelines succeeded**, click the link **Run details** to see how the pipeline is progressing. - -== Schedule execution - -We can also **schedule** an execution so that the confidence check is executed at regular intervals. + -To do that: - -. Go back to the {rhoai} Data Science Project -. Find the pipeline you just ran -. Click the 3 dots at the very end of the line, and click "Create run". -+ -[.bordershadow] -image::03/07-create-run.png[create run] - -. On the next screen, choose a name, select a Periodic run to trigger every **Day** and click **Create**: -+ -[.bordershadow] -image::03/03-06-dailyrun.png[] - -. We can now leave the confidence-check pipeline alone. -. It will run daily, and will inform us if anything goes wrong with our LLM. \ No newline at end of file diff --git a/content/modules/ROOT/pages/03-07-prompt-engineering.adoc b/content/modules/ROOT/pages/03-07-prompt-engineering.adoc deleted file mode 100644 index 3d971a37..00000000 --- a/content/modules/ROOT/pages/03-07-prompt-engineering.adoc +++ /dev/null @@ -1,32 +0,0 @@ -= Prompt Engineering exercise (optional) -include::_attributes.adoc[] - -NOTE: This part of the {ic} is marked as optional. It can therefore be skipped without effect on the other parts of the lab. You can always come back to it later at the end of the {ic-lab} if you have time to spare. - -IMPORTANT: When you interact with ChatGPT or other commercial services, a lot of guardrails are in place to prevent you from getting unwanted or not suitable for work results. In our {ic} exercises, we are using a model that is not protected by those guardrails, and we will be modifying its settings. Therefore, it is your responsibility to do it in a safe way, and to make sure that the results you get are suitable for you and/or your audience. The authors of this {ic} cannot be held responsible for any inappropriate results you may get. - -As you have seen in the previous sections, there are different factors that will influence the results you can get from your model: the model parameters, the prompt, the query, and of course the data itself... - -Let's see how we can adjust those different factors to get the best results. - -== Modifying the settings - -Go back to the notebook `03-01-nb-llm-example.ipynb` and try changing: - -- The llm parameters, like the `temperature`, to make the model more creative -- The `prompt template`, to make the model behave differently, like giving the answer in the form of a poem. Or more useful in an enterprise context, give answers like it was addressing different types of audience: for example 5 years old children, or people without technical knowledge, or the opposite... -- The `query` itself which you can use to override certain aspects of the prompt. This will show you why it's important to have guardrails in place against "prompt injection", like pre-filtering user queries - -== Modifying the data - -Go back to the notebook `03-02-summarization.ipynb` and try changing: - -- Edit or create new claims, making them harder to understand. (Note: to edit the json file in Jupyter, right click on it and select "Open With > Editor") -- Experiment with different languages - -== Modifying the prompt - -Go back to the notebook `03-03-information-extraction.ipynb` and try changing: - -- Edit or create new claims, making them harder to understand -- Try to have the model more precise and concise in date and time extraction, like making it respect a specific format diff --git a/content/modules/ROOT/pages/04-01-over-approach.adoc b/content/modules/ROOT/pages/04-01-over-approach.adoc deleted file mode 100644 index ec3606f0..00000000 --- a/content/modules/ROOT/pages/04-01-over-approach.adoc +++ /dev/null @@ -1,23 +0,0 @@ -= Overall Approach -include::_attributes.adoc[] - -As part of this prototype, we investigated the use of the YOLOv8 model. -This model can be found online at https://www.yolov8.com[yolov8,window=_blank] and downloaded. - -== Image Processing Sections - -. We will first review its out-of-the-box capabilities. -. We will then fine-tune it to allow it to do more specialized work for us. -. Once we have a new, customized version of the model, we will deploy it in {rhoai} Model Serving. -. Once that is done, we will send queries to it. - -== Image Processing Out-of-the-box capabilities - -Let's start by looking at a YOLOv8 model and explore how it works on static car images. - -[.bordershadow] -image::04/sample-car-image.png[car image] - -- In your running workbench, navigate to the folder `parasol-insurance/lab-materials/04`. -- Look for (and open) the notebook called `04-01-over-approach.ipynb`. -- Execute the cells of the notebook, and ensure you understand what is happening. \ No newline at end of file diff --git a/content/modules/ROOT/pages/04-02-car-recog.adoc b/content/modules/ROOT/pages/04-02-car-recog.adoc deleted file mode 100644 index 33e4ad29..00000000 --- a/content/modules/ROOT/pages/04-02-car-recog.adoc +++ /dev/null @@ -1,32 +0,0 @@ -= Car recognition -include::_attributes.adoc[] - -== Introduction - -In our last notebook we confirmed that the YOLO model could identify cars in a photograph. - -[.bordershadow] -image::04/sample-car-image.png[car image] - -We discovered that YOLO is able to detect multiple cars in an image. However, we did not see which cars were identified. - -[.bordershadow] -image::04/multiple-car-images.png[multiple cars] - -[.bordershadow] -image::04/model-prediction-results.png[predict cars] - -In the above image, the yolo model identified 17 cars and 1 truck. - -Therefore we need to write some code that will draw boxes around the cars identified by the YOLO model. - -[.bordershadow] -image::04/box-identified-cars.png[identify cars] - -== (Optional) Detailed code and execution - -If you want to dig deeper into this section, follow the instructions below. If you are pressed for time, you can skip to the next section. - -- In your running workbench, navigate to the folder `parasol-insurance/lab-materials/04`. -- Look for (and open) the notebook called `04-02-car-recognition.ipynb` -- Execute the cells of the notebook, and ensure you understand what is happening diff --git a/content/modules/ROOT/pages/04-03-model-retraining.adoc b/content/modules/ROOT/pages/04-03-model-retraining.adoc deleted file mode 100644 index 2eddb15c..00000000 --- a/content/modules/ROOT/pages/04-03-model-retraining.adoc +++ /dev/null @@ -1,62 +0,0 @@ -= Model Retraining -include::_attributes.adoc[] - -== Introduction - -To retrain the YOLO model we need a prepared dataset of car images with moderate and severe accident labels. We have such a dataset (from https://universe.roboflow.com/accident-detection-ffdrf/accident-detection-8dvh5/dataset/1[RoboFlow,window=_blank] ) that has annotated images and has split them into training and validation datasets. We will use this training set to retrain our current YOLO model. - -[.bordershadow] -image::04/roboflow-test-images.png[roboflow images] - -== Our training data - -[%collapsible] -==== -1. The encode classes of objects we want to teach our model to detect is 0-'moderate' and 1-'severe'. -2. We have created a folder for the dataset (data) and have have 2 subfolders in it: 'train' and 'valid'. Within each subfolder we have created 2 subfolders: 'images' and 'labels'. -3. Each image has an annotation text file in the 'labels' subfolder. The annotation text files have the same names as the image files. -==== - -== (Optional) Detailed code and execution - -If you want to dig deeper into this section, follow the instructions below. If you are pressed for time, you can skip to the next section. - -We have provided the following training data set, available as a zip file, and located in an S3 bucket: `accident-sample.zip` (as we don,t have time in this {ic-lab} to fully retrain the model, we will use a sample of the training data set). - -- In your running workbench, navigate to the folder `parasol-insurance/lab-materials/04`. -- Look for (and open) the notebook called `04-03-model-retraining.ipynb` -- Execute the cells of the notebook. - -== Interpreting the Model re-Training Results -[%collapsible] -==== -The following training run shows the results for the full dataset. - -Let's start by understanding what an 'epoch' is. Machine learning models are trained with specific datasets passed through the algorithm. Each time a dataset passes through an algorithm, it is said to have completed an epoch. Therefore, epoch, in machine learning, refers to the one entire passing of training data through the algorithm - -In the training run below you can see a training run of 7 epochs with a batch size of 32 (meaning 32 images were analyzed simultaneously), that were set through the following code snippet: -results = model.train(data='./datasets/accident-full/data.yaml', epochs=7, imgsz=640, batch=32) - -In the training run, each epoch shows a summary for both the training and validation phases: lines 1 and 2 show results of the training phase and lines 3 and 4 show the results of the validation phase for each epoch. - -image::04/model-retraining-summary.png[retraining summary] - -The training phase includes a calculation of the amount of error in a loss function, so the most valuable metrics here are box_loss and cls_loss: - -* box_loss shows the amount of errors in detected bounding boxes. -* cls_loss shows the amount of errors in detected object classes. - -If the model really learns something from the data, we should see that these values decrease from epoch to epoch. + -In the previous screenshot the box_loss decreased from 1.219 on the first epoch to 0.8386 in the last, and the cls_loss decreased from 1.875 to 0.9001. - -The other valuable quality metric is mAP50-95, which is Mean Average Precision. If the model learns and improves, the precision should grow from epoch to epoch. + -In the previous screenshot mAP50-95 increased from 0.423 (epoch1) to 0.755 (epoch7). - -We can also see that throughout the training, the GPU was used, with a memory consumption of a little bit more than 13GB. - -If after the last epoch you did not get acceptable precision, you can increase the number of epochs and run the training again. Also, you can tune other parameters like batch, lr0, lrf or change the optimizer you're using. - -During training we export the trained model, after each epoch, to the /runs/detect/train/weights/last.pt file and the model with the highest precision to the /runs/detect/train/weights/best.pt file. So, after training is finished, you can get the best.pt file to use in production. - -Note: In real world problems, you need to run many more epochs than we have shown here, and be prepared to wait hours or days until training finishes, and not a mere 16 minutes as we did in this example. -==== diff --git a/content/modules/ROOT/pages/04-04-accident-recog.adoc b/content/modules/ROOT/pages/04-04-accident-recog.adoc deleted file mode 100644 index 9b6fc445..00000000 --- a/content/modules/ROOT/pages/04-04-accident-recog.adoc +++ /dev/null @@ -1,21 +0,0 @@ -= Accident Recognition -include::_attributes.adoc[] - -== Introduction - -Now that we have retrained our model we can test it against some sample images. - -We have converted our model to onnx format and placed a copy within an S3 bucket. We will test this version against some sample test images. - -Using the re-trained model, we will see that we are able to identify a severe car crash with 88% certainty, like in the below picture: - -[.bordershadow] -image::04/retrained-model-results.png[retrained modelresults] - -== (Optional) Detailed code and execution - -If you want to dig deeper into this section, follow the instructions below. If you are pressed for time, you can skip to the next section. - -- In your workbench, navigate to the folder `parasol-insurance/lab-materials/04`. -- Look for (and open) the notebook called `04-04-accident-recog.ipynb` -- Execute the cells of the notebook. diff --git a/content/modules/ROOT/pages/04-05-model-serving.adoc b/content/modules/ROOT/pages/04-05-model-serving.adoc deleted file mode 100644 index 418fd5ab..00000000 --- a/content/modules/ROOT/pages/04-05-model-serving.adoc +++ /dev/null @@ -1,190 +0,0 @@ -= Model Serving -include::_attributes.adoc[] - -. At this point, we need to deploy the model into {rhoai-short} model serving. -. We will create another Data Connection... -.. With almost identical information -.. But we will change the bucket name from `{user}` to `models` - -== Create a Data Connection - -* In your Data Science project, create a Data Connection that refers to the shared MinIO. -* Here is the info you need to enter: -** Name: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -Shared Minio - model -** Access Key: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -{minio-user} -** Secret Key: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -{minio-pass} -** Endpoint: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -{minio-endpoint} -** Region: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -none -** Bucket: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -models - -* The result should look like: -+ -[.bordershadow] -image::04/model-data-connection.png[model connection] - -== Create a Model Server - -In your project create a model server: - -* In the "Multi-model serving platform" type of model, click **Add model server**: -+ -[.bordershadow] -image::04/add-model-server.png[] - -* Here is the info you need to enter: - -** Model server name: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -My first Model Server -** Serving runtime: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -OpenVINO Model Server -** Number of model server replicas to deploy: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -1 -** Model server size -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -Standard -** Accelerator -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -None -** Model route -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -unchecked -** Token authorization -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -unchecked - - -* The result should look like: -+ -[.bordershadow] -image::04/add-model-server-config.png[] - -* You can click on **Add** to create the model server. - -== Deploy the Model - -In your project, under **Models and model servers** select **Deploy model**. - -* Click **Deploy model**: -+ -[.bordershadow] -image::04/select-deploy-model.png[] - -* Here is the information you will need to enter: - -** Model name: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -My first Model -** Model server -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -My first Model Server -** Model server - Model framework -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -onnx-1 -** Existing data connection - Name -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -Shared Minio - model -** Existing data connection - Path -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -accident/ - -* The result should look like: -+ -[.bordershadow] -image::04/deploy-a-model.png[] - -* Click on **Deploy**. -* If the model is successfully deployed you will see its status as green after 15 to 30 seconds. -+ -[.bordershadow] -image::04/model-deployed-success.png[] - -We will now confirm that the model is indeed working by querying it! - -== Querying the served Model - -Once the model is served, we can use it as an endpoint that can be queried. We'll send a request to it, and get a result. And unlike our earlier notebook-based version, this applies to anyone working within our cluster. This could either be colleagues, or applications. - -* First, we need to get the URL of the model server. -* To do this, click on the **Internal Service** link under the **Inference endpoint** column. -* In the popup, you will see a few URLs for our model server. -+ -[.bordershadow] -image::04/inference-url.png[] - -* Note or copy the **RestUrl**, which should be something like `\http://modelmesh-serving.{user}:8008` - -We will now use this URL to query the model. - -- In your running workbench, navigate to the folder `parasol-insurance/lab-materials/04`. -- Look for (and open) the notebook called `04-05-model-serving.ipynb`. -- Execute the cells of the notebook, and ensure you understand what is happening. - diff --git a/content/modules/ROOT/pages/05-01-application.adoc b/content/modules/ROOT/pages/05-01-application.adoc deleted file mode 100644 index ec881218..00000000 --- a/content/modules/ROOT/pages/05-01-application.adoc +++ /dev/null @@ -1,73 +0,0 @@ -= Application Overview -include::_attributes.adoc[] - -== Architecture - -Here is a simplified architecture diagram of the application: - -[.bordershadow] -image::05/application-architecture.drawio.svg[] - - -The different components are: - -- The **frontend**: the application itself, developed using the Patternfly framework (React, Typescript), running in the browser of the user. -- The **backend**: a Python FastAPI application, running in a container on {ocp}. It handles the communication with the database, the LLM, and the Object storage. It handles the communication with the frontend by exposing a REST API. -- The **database**: a PostgreSQL database, running in a container on {ocp}. It stores the claims. -- The **LLM**: the language model used to summarize and extract information from the claims. It is consumed by the backend through its API. -- The **VectorDB**: the vector database used to store documents for retrieval in the RAG part. It's based on Milvus. -- The **Object storage**: an S3-compatible object storage. It stores the claim images. - -== Application Code - -If you want to have a look at the code of the application, you can do it directly from {rhoai}! - -- Close the different Jupyter tabs that may still be opened in your browser. -- Go back to the {rhoai} Dashboard. -- Stop your Workbench by using the toggle. - -+ -[.bordershadow] -image::05/05-toggle-off-workbench.jpg[] - - - --- You should probably give it 5 or 10 seconds to fully stop. -- Edit the Workbench configuration by clicking the 3 vertical dots on the right, then choose the **Edit workbench** button. -+ -[.bordershadow] -image::05/stop-workbench.png[] - -- In the image section, change the image to `CUSTOM - VSCode for {ic}`: -+ -[.bordershadow] -image::05/05-change-to-vscode.jpg[] -- Note that this is a Custom-built image added in this particular {ic-lab} to illustrate the flexibility of the {rhoai} platform. Not everyone wants to use Jupyter Notebooks for everything. - -- Then click on `Update workbench` at the bottom of the page: -+ -[.bordershadow] -image::05/update-workbench.png[] - -- You can now start your Workbench again by using the toggle. -- Once the Workbench is started, click on the **Open** Link. -- You will be redirected to the VSCode IDE. -- After logging in and accepting the authorization, VSCode will open. -- The first time you connect to it, you must indicate that you trust the workspace. -- Click on the **Yes, I trust the authors** button. -+ -[.bordershadow] -image::05/trust-vscode.png[] - -* You can also close the Welcome tab, and you are in a familiar VSCode environment. -* Your Persistent Volume has been automatically reconnected to this new environment. -** Therefore, all the data you created in the Jupyter environment is still available -** You can see more files because VSCode displays hidden files by default, which Jupyter does not do. -* If you want, you can now explore the code of the application, in the `app` folder: -+ -[.bordershadow] -image::05/app-code.png[] - -Of course, this is a complete VSCode environment, so you can configure it in the same way as you would do for a local VSCode installation. You can install extensions that will be persisted when you stop and restart the Workbench, you can configure your own keybindings, etc. - -The application has already been built as a container image that we are now ready to deploy using GitOps. You can head to the next section. \ No newline at end of file diff --git a/content/modules/ROOT/pages/05-02-openshift-terminal.adoc b/content/modules/ROOT/pages/05-02-openshift-terminal.adoc deleted file mode 100644 index 16600ca2..00000000 --- a/content/modules/ROOT/pages/05-02-openshift-terminal.adoc +++ /dev/null @@ -1,29 +0,0 @@ -= Working with the {ocp} Terminal -include::_attributes.adoc[] - -To deploy the application, you will use the {ocp} Web Terminal. + -This is a web-based terminal that allows you to execute commands on the {ocp-short} cluster from the {ocp-short} Console. - -== Opening the {ocp} Console - -- Access the {ocp-short} Console via this link: -+ -[.bordershadow] -image::05/01-openshift-console.png[] - -- When prompted, enter your credentials. - -== Open a Web Terminal - -- On the {ocp-short} Console, click on the Web Terminal icon in the top right corner: -+ -[.bordershadow] -image::05/web-term-1.png[] - -- Then, choose your existing project and click start: -+ -[.bordershadow] -image::05/web-term-2.png[] - -- After a few seconds, a Terminal interface will open. -- This is where you will execute the commands in the next steps. diff --git a/content/modules/ROOT/pages/05-03-web-app-deploy-application.adoc b/content/modules/ROOT/pages/05-03-web-app-deploy-application.adoc deleted file mode 100644 index afa58ef1..00000000 --- a/content/modules/ROOT/pages/05-03-web-app-deploy-application.adoc +++ /dev/null @@ -1,131 +0,0 @@ -= Deploying the application via GitOps -include::_attributes.adoc[] - -== Deploy your instance of {argocd} - -We will start by deploying an instance of ArgoCD in your namespace. + -This will be used to deploy the application. - -- Copy the following text, and paste it in the {ocp-short} Terminal to deploy {argocd}. -+ -[.lines_space] -[.console-input] -[source, text] -cat < **PersistentVolumeClaims** -+ -[.bordershadow] -image::05/05-PVC.png[go to PVC] - -* Make sure you are in the right project (your username) and then press **Create PersistentVolumeClaim** -+ -[.bordershadow] -image::05/05-create-pvc-button.jpg[Create PVC] - -* Use these settings: -** StorageClass: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -ocs-storagecluster-cephfs -** PersistentVolumeClaim name: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -processing-pipeline-storage -** Access mode: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -Shared access (RWX) -** Size: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -1 GiB - -* it should look like: -+ -[.bordershadow] -image::05/05-PVC-settings.png[PVC settings] - -* Then press **Create** - -== Import the pipeline - -To import the pipeline, start by downloading the `process_claims.yaml` file locally. -Navigate to `parasol-insurance/lab-materials/05/05-05` to find it. - - -// * To do this, Select the menu in the top left of the VSCode environment and navigate to *File -> Save As...*. -// [.bordershadow] -// image::05/05-download-process-yaml.png[download process claims yaml] -// Then go to your Data Science project and press Import Pipeline. - -* Start by downloading the `process_claims.yaml` file locally to your laptop -** In your VSCode Workbench, right-click on the file, and select **Download** -** Save the file somewhere on your laptop -* Then go to the {rhoai} Dashboard -* Select your Data Science project -* Scroll down until you see the **Pipelines** section -* Click **Import Pipeline** -+ -[.bordershadow] -image::05/05-import-pipeline.jpg[import pipeline] - -* Now upload the `process_claims.yaml` file, either by drag-and-dropping or using the Upload button -* Then make sure to give your pipeline a good name like `Process Claims Pipeline` -* It should look something like this afterwards: -+ -[.bordershadow] -image::05/05-import-pipeline-highlighted.jpg[imported pipeline] - -* Click **Import Pipeline** and you should see it appear under the pipelines section of your Project - -== Run the pipeline - -* Now go into the settings at the right side -* Click **Create Run** to create a new run of the pipeline you just added -+ -[.bordershadow] -image::05/05-create-run.jpg[create run] - -* Use these settings: -** Name: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -Process Claim Run -** Run type: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -Run once immediately after creation -** claim_id: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -0 -** detection_endpoint: -[.lines_space] -[.console-input] -[source, text] -[subs=attributes+] -http://modelmesh-serving.{user}:8008 - -This is the same route to the object detection endpoint that was used earlier in the workshop. - -* When done it should look something like this: -+ -[.bordershadow] -image::05/05-run-settings-create-pipeline.png[run settings] - -* Note that by changing claim_id you can change which claim to process. We set it to 0 to process all unprocessed claims - -* Click **Create** and watch it run -+ -[.bordershadow] -image::05/05-process-claims.jpg[process] - -== Check the results - -* After the pipeline has finished running, you can go to the app and take a look at the claims -* You will now see that all the claims are processed -+ -[.bordershadow] -image::05/05-process-claim3-app.jpg[claim3processed] - -* Click on the last claim -* Instead of just a long body, you will now see a summary, a location field, an accident time field, and a sentiment field -* You can also see that we have new image(s) which have bounding boxes where the damage is -+ -[.bordershadow] -image::05/05-processed-claim.jpg[claim3processed] \ No newline at end of file diff --git a/content/modules/ROOT/pages/06-01-potential-imp-ref.adoc b/content/modules/ROOT/pages/06-01-potential-imp-ref.adoc deleted file mode 100644 index 3154f0aa..00000000 --- a/content/modules/ROOT/pages/06-01-potential-imp-ref.adoc +++ /dev/null @@ -1,51 +0,0 @@ -= Potential Improvements and Refinements -include::_attributes.adoc[] - -== To the {ic} materials - -If you have any feedback regarding this {ic}, please use https://github.com/rh-aiservices-bu/parasol-insurance/issues[Issues,window=_blank] and https://github.com/rh-aiservices-bu/parasol-insurance/pulls[Pull Requests,window=_blank]. - -But this section of the {ic} is not meant for Improvements and Refinements **to the lab**. Instead it is about... - -== To the presented prototype - -What we have shown in this {ic} is a very rough prototype, put together very quickly, in order to demonstrate: - -* Which improvements could be done -* How long it would take to do them - -In such a situation, it is common to go fast and make short-term decisions since there is no guarantee that this will become a real project. - -Therefore, now, we need to review what was done, and make suggestions along these axes. - -* What **other** tools and techniques could be used in order to make the experience of our claims adjusters even better, more streamlined? - -* Is our current application robust enough? Describe what scenarios might make it harder to use? - -* How efficiently are we going to be able to make updates to its components if we need to? Is there a chance that making a change to the LLM model, the YOLOV8 model, the database, the application, will introduce breaking changes? - -* If that is the case, what would we want to do to avoid those risks? - -* Which parts seem to still be manual and time-consuming, and how could we automate them better, to avoid human errors if we can. - -**Think about these questions first** - -If you want to read what **we** thought could be improved, read below! (responses are not exhaustive) -[%collapsible] -==== - -* We could have something that analyzes the images and checks for discrepancies with the customer data, such as: -** Not the same make or color car as what is on file. -** Mismatch in license plate, if visible in the picture. -* We've only scratched the surface with gitops and Data Science pipelines here -** There was no performance testing done. If too many users connect at the same time, it might overwhelm either the app, the database, the LLM, etc... -* Currently, most simple changes would probably end up breaking the application. And the person who, for example decides to change Mistral7B for Flan-T5-Small would not necessarily realize that. -** It would be critical to have multiple instances (Dev/Test/UAT/Prod) of the application. -** It would also be required to have integration pipelines run in these environments to confirm that changes made do not break the overall application. -* We could ask the LLM to start writing a response to the customer. -** It could be just to ask for missing details. -** or it could be to let them know whether the claim is accepted or denied. -* However, to do this, the LLM would have to be aware of the policies that the {company-name} uses to make those determinations. -** This could be an interesting use-case for the https://research.ibm.com/blog/retrieval-augmented-generation-RAG[RAG,window=_blank] approach. - -==== diff --git a/content/modules/ROOT/pages/06-02-applicability-other.adoc b/content/modules/ROOT/pages/06-02-applicability-other.adoc deleted file mode 100644 index f3b12761..00000000 --- a/content/modules/ROOT/pages/06-02-applicability-other.adoc +++ /dev/null @@ -1,39 +0,0 @@ -= Applicability to other industries -include::_attributes.adoc[] - -Now, the examples we've shown throughout this {ic} are specific to the Insurance industry, and within that, claims processing. - -However, none of the techniques we used here are inherently related to this industry or this use-case. - -So let's take some examples, and discuss what we **could** do using the same techniques against **other** use-cases. - -== Industries - -* Healthcare -* Retail -* Automotive -* Agriculture -* Finance -* Manufacturing -* Education - -== Use cases - -1. Healthcare - - Medical imaging analysis - - Patient record summarization - -2. Automotive - - Object recognition for autonomous vehicles - -3. Agriculture - - Crop disease analysis - -4. Finance - - Loan application paperwork analysis - -5. Manufacturing - - Quality control through visual inspection of products - -6. Education - - LLM as a teaching assistant diff --git a/content/modules/ROOT/pages/07-01-end-of-lab.adoc b/content/modules/ROOT/pages/07-01-end-of-lab.adoc deleted file mode 100644 index e28ed35a..00000000 --- a/content/modules/ROOT/pages/07-01-end-of-lab.adoc +++ /dev/null @@ -1,12 +0,0 @@ -= Thank you for your participation -include::_attributes.adoc[] - -We hope that the materials we used during this time together were useful and gave you a better appreciation and understanding of what goes into an intelligent application. - -If you notice https://github.com/rh-aiservices-bu/parasol-insurance/issues[issues,window=_blank] with the content and/or want to send us a https://github.com/rh-aiservices-bu/parasol-insurance/pulls[pull request,window=_blank], we'll appreciate it very much. - -The instructions of this {ic} are always available at https://rh-aiservices-bu.github.io/parasol-insurance/[https://rh-aiservices-bu.github.io/parasol-insurance/,window=_blank]. Make note of this URL as it will be updated with new content as we continue to improve the {ic-lab}. - -== Acknowledgements - -Thanks to everyone who helped create this {ic}, https://github.com/rh-aiservices-bu/parasol-insurance/graphs/contributors[contributors,window=_blank] and reviewers! diff --git a/content/modules/ROOT/pages/_attributes.adoc b/content/modules/ROOT/pages/_attributes.adoc deleted file mode 100644 index 28eaf00b..00000000 --- a/content/modules/ROOT/pages/_attributes.adoc +++ /dev/null @@ -1,12 +0,0 @@ -:experimental: -:source-highlighter: highlightjs -:deliverable: lab -//:deliverable: tutorial -//:productname-long: Red Hat OpenShift Data Science -//:productname-short: OpenShift Data Science -:productname-long: Red Hat OpenShift AI -:productname-short: OpenShift AI -:page-user: {user} -:page-openshift_console_url: {openshift_console_url} -:page-rhoai_dashboard_url: {rhoai_dashboard_url} -:imagesdir: ../assets/images diff --git a/content/modules/ROOT/pages/index.adoc b/content/modules/ROOT/pages/index.adoc deleted file mode 100644 index 777ab6de..00000000 --- a/content/modules/ROOT/pages/index.adoc +++ /dev/null @@ -1,62 +0,0 @@ -= {lab_name} -include::_attributes.adoc[] - -== {ic} Overview - -This {ic-lab} will illustrate how the use of various AI/ML technologies can be combined to produce a valuable solution to a business problem. - -The information, code, models and techniques it contains are illustrations of what a first prototype could look like. It is not the definitive way of addressing the stated requirements. - -== Disclaimer - -This {ic-lab} is an example of what a customer could build using {rhoai}. {rhoai} itself has no specific feature related to Insurance Claim Processing. - -This {ic-lab} makes use of large language models (LLM) and image processing models. These models are not included in the {rhoai} product. They are provided as a convenience for this {ic-lab}. - -The quality of these models is enough for a prototype. Choosing the right model to use in a production environment is a complex task that requires a lot of experimentation and tuning. This {ic-lab} does not cover this aspect. - -== Timetable - -This is a tentative timetable for the materials that will be presented. - -[width="90%",cols="3,^2,^2,10",options="header"] -|========================================================= -| Name |Duration |Type |Description - -|Background |5 | Presentation -a|- We describe what the desired end state looks like. -- Describe overall user experience and underlying architecture. -- Share mockups for better visualization - -|Connection and Setup |5 | Hands-On -a|- Attendees get connected -- help validate environment health -- access the playpen project - -|LLM |20 | Hands-On -a|- summarization check -- sentiment check -- Model Comparison check and choice -- prompt engineering exercise -- confidence-check pipeline - -|Image Processing |20 | Hands-On -a|- car recognition checks -- re-training exercise -- model deployment - -|Web App |20 | Hands-On -a|- deployment -- update -- RAG - -|Productization |5 | Presentation + discussion -a|- What else could we add that would have value? -- What else could we do following the same patterns? - -|========================================================= - - -== Contributing - -If you are interested in contributing to this project, consult this GitHub Repo: https://github.com/rh-aiservices-bu/parasol-insurance/[https://github.com/rh-aiservices-bu/parasol-insurance/,window=_blank] diff --git a/content/modules/ROOT/partials/exec_pod.adoc b/content/modules/ROOT/partials/exec_pod.adoc deleted file mode 100644 index 73c8950a..00000000 --- a/content/modules/ROOT/partials/exec_pod.adoc +++ /dev/null @@ -1,25 +0,0 @@ -Check that the pod is up and running: - -[.lines_space] -[.console-input] -[source,bash, subs="+macros,+attributes"] ----- -kubectl get pods ----- - -[.console-output] -[source,bash,subs="+macros,+attributes"] ----- -NAME READY STATUS RESTARTS AGE -{podname} 1/1 Running 0 5s ----- - -Then let's go into the running pod to execute some commands: - -[.console-input] -[source,bash, subs="+macros,+attributes"] ----- -kubectl exec -ti {podname} /bin/bash ----- - -NOTE: Change the pod name with your pod name. \ No newline at end of file diff --git a/content/supplemental-ui/.nojekyll b/content/supplemental-ui/.nojekyll deleted file mode 100644 index e69de29b..00000000 diff --git a/content/supplemental-ui/css/site-extra.css b/content/supplemental-ui/css/site-extra.css deleted file mode 100644 index 5f269495..00000000 --- a/content/supplemental-ui/css/site-extra.css +++ /dev/null @@ -1,35 +0,0 @@ -/* left align items inside imageblock */ -.doc .imageblock { - align-items: flex-start; - } - -/* add a shadow to the image container */ -.doc .bordershadow .content{ - border: solid 1px black; - box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.2), 0 6px 20px 0 rgba(0, 0, 0, 0.19); -} - -/*custom video css*/ -video { - border: solid 1px black; - box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.2), 0 6px 20px 0 rgba(0, 0, 0, 0.19); -} - -/* allow for wider screens */ -.doc { - max-width: none; -} - -.navbar-item-right-dropdown { - float: right!important; -} - -.navbar-dropdown-right { - right: 0; - left: auto; -} - -.navbar-item-right-content { - width: 100%; - background-color: #131313; -} \ No newline at end of file diff --git a/content/supplemental-ui/img/favicon.ico b/content/supplemental-ui/img/favicon.ico deleted file mode 100644 index 11c5cd26196c0bb5ad2c06c13e15449f7cc500bf..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 4427 zcmchb^-~j$`@q=-Lu#l9j2=ptl!OY5lI{kTA&hPiq=cy;?WALrPygO0X_>80NMk1OCy8EX}r zbg5{3wQT|@DCn;L2Vipf`Ckf(tLHizs^-ryyUX^8=2l$PKlU|WM77}2NwQd+saXp) z-OH4Nr+!($OV&#$;dXbLn&YIP`0ruXTXqJChtZk_r)wY(G%2njp(UG|H?{J*5?r1yuGc)Y+)F1GKd=hsz6)}JDPL7gj%6m!$0JR)EeB)N`3Y9Bhn zxGWOhF;J8Nb_mB1Lv6T=h+nwCVOmT)YDZN(egL2kl$>^@$621#83NkVj;WRHC%@0b zBDen#dp%i3zk`j%zqgnL(>t-Y2<4=SG`AdBi97y7SrH=5;=br%%TKz>{Aj*tlh+YY zLn`QyTnW(P-fw*9(;GPRd_oVfcWxvmAcwHvFNGHO_k`GXP?}XfZFwcxdY3=ar=_CO zNDn&n3fPksXf9$%A|b@%%P2VYm4sGlXh?}KW;gi3(nTzqG9Wp#FhAYXQW;ST&g{u7 ziLb1EFmhbCbZ)ca6PTuW{OH4#BI3&@c`5PX4@h*p#qB}nZL^?47RfK-MnTueFB0gP}jfzM6TX~+oQsI5Ep(`@EO-fH- zc(x&$Jg+g9Rzwf0Dz)ipa=95}h0s$QU-b7EGzG7^d49pkGUg@MzEu^-od=ynYts~2 z4e4>(aJ^s3guWM>qqRwR7eQZ4Tb)J2D{mucR#4>7_z9E3pQuXPI4q*_!Q}*{dC<5e1}y@o6jymmCXiRr%Mz+rYKKQUv|O^IkI%wY2(Uid zVNzwTehVf&X<>y{3Vmi;z-yJ&y>%ds+$t>u3WF#Yf4`hPVX^R$CFbCu z;{;S7eO2*l>#6hxIRb{fk&OCXz-l4=>aqlPs6hC$%p%H^zirE}6?N)B!YVNCpHRql zRmuKkS}CzH#+_qsZ3*y|gahWuMTU{3Sk5wCPA!R#eg&eJc>pP$wwSE|SjV)8zTwfW z5A-FnRvp(A^{dge4R>P_Q0B2H`q^0gVnY`lpZv{Kyv5`o?J!xJzT_rm59Xp}`@t3p zBTUPiG74!hv(_0M)u=Ug=w_r6EbD+L5Kh`KL%fS^ zVC(IPv!YK+`x{5&3GfGmIE1%G8S>#n*FC*xPkK@p1f!=^gjSq=^IHTxh?*cW(Xxp; z&A%hHI3<<(52BuCM!o;OALrjot4N6_ar11yebekzkPUJP*h7C}4>m9!OB z=x?d(kXC1_=~knAK*AP2YRdkLghV1uP(ld(aGere+7-dJ?1s-{r$UaKA zIpv^iIs@FFJ@s_or;^*Ft}Ww6A3f}F=%|D1Uaj&E9{AUITjK-$L!*dBtumuwWAJdC zfJYfT=byvnWb?&_nb{ks1V`mkpXBNb@uXu@iR!=7?NMnTkOvfyGVY9>r-jmAS6wsa zlqjq3jU$7Kev}W3So|!>0L8X#na{6K)`Os13$rkVhReYpF&efcpmjHzgEDpONf9t-^K4ZZ}RA)T4q3o_W zITxcV(f3jCYul*7eN861Bsf&@pJnWwg%=MNTX{r#hVjK%j>|n?PybT=Tl@%U_3VCZ zCrhSWcU9mmbfaA_mT7U1LN48czlJsHFc@?T(-vq|a;$OS6dm~M-PCr>=frA!*Or1& zd%ze^?jz}CRGKD*;YyOjX$tjg^BPZ?88M+_yEuXix!|w5NhiFpLA8TLv+S;NK`0r0 zhV&v!?o!rrf|ciRy*bkhGxSKMdg?RnQeeu&L8=ypa1Tl zCvLu$zAn66zheM1m^#$L^%Gz6N}h?c=|?g?qEya73tr}?*UEK#xeW}vx*u6h26>}SOM11!((T4uk%N&t8RW7B$ z%xxSe!NCv&{R1-+bawcAgzA5dGT`cd<^QK*htv=xn_HjZ_92Ubd8$`=eF+cmK^d!A zI@|{k^MRIrPOSK)ws%&4m1()_QEIcD}CIUkR`h|ZDTHt?)? 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    - -
    diff --git a/content/supplemental-ui/partials/nav-explore.hbs b/content/supplemental-ui/partials/nav-explore.hbs deleted file mode 100644 index 41e503cd..00000000 --- a/content/supplemental-ui/partials/nav-explore.hbs +++ /dev/null @@ -1,24 +0,0 @@ -
    - {{#if page.component}} -
    - {{!-- {{page.component.title}} - {{page.componentVersion.displayVersion}} --}} -
    - {{/if}} -
      - {{#each site.components}} -
    • - {{{./title}}} - -
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    diff --git a/content/supplemental-ui/partials/toolbar.hbs b/content/supplemental-ui/partials/toolbar.hbs deleted file mode 100644 index d891041d..00000000 --- a/content/supplemental-ui/partials/toolbar.hbs +++ /dev/null @@ -1,11 +0,0 @@ - diff --git a/content/supplemental-ui/ui.yml b/content/supplemental-ui/ui.yml deleted file mode 100644 index 079c1fcf..00000000 --- a/content/supplemental-ui/ui.yml +++ /dev/null @@ -1,2 +0,0 @@ -static_files: -- .nojekyll \ No newline at end of file diff --git a/content/utilities/lab-build b/content/utilities/lab-build deleted file mode 100755 index 7f2abafe..00000000 --- a/content/utilities/lab-build +++ /dev/null @@ -1,40 +0,0 @@ -#!/usr/bin/env bash -# - -# Check if podman is available -if command -v podman &> /dev/null; then - container_runtime="podman" -# If podman is not available, check if docker is available -elif command -v docker &> /dev/null; then - container_runtime="docker" -else - echo "Error: Neither docker nor podman is installed. Exiting." - exit 1 -fi - -echo "Starting build process..." -echo "Removing old site..." -rm -rf ./content/www/* - -echo "Building new site..." -mkdir -p ./content/www - -${container_runtime} run --rm --name showroom-builder \ - --platform linux/amd64 \ - -v "${PWD}:/antora" \ - docker.io/antora/antora default-site.yml - -echo "Build process complete. Check the ./content/www folder for the generated site." -echo "To view the site locally, run the following command: utilities/lab-serve" -echo "If already running then browse to http://localhost:8443/index.html" - -# ${container_runtime} run \ -# --rm\ -# -it\ -# --name showroom-builder \ -# --platform linux/amd64 \ -# -v "${PWD}:/antora" \ -# --entrypoint=sh \ -# docker.io/antora/antora - - diff --git a/content/utilities/lab-clean b/content/utilities/lab-clean deleted file mode 100755 index 1d497f2e..00000000 --- a/content/utilities/lab-clean +++ /dev/null @@ -1,6 +0,0 @@ -#!/usr/bin/env bash -# - -echo "Removing old site..." -rm -rf ./content/www/* -echo "Old site removed" diff --git a/content/utilities/lab-reload b/content/utilities/lab-reload deleted file mode 100755 index 9924db71..00000000 --- a/content/utilities/lab-reload +++ /dev/null @@ -1,80 +0,0 @@ -#!/usr/bin/env bash -# - -# On Mac run with -# fswatch -e ./content/www/ -o ./ | xargs -n1 -I{} ./content/utilities/lab-reload - -# Check if podman is available -if command -v podman &> /dev/null; then - container_runtime="podman" -# If podman is not available, check if docker is available -elif command -v docker &> /dev/null; then - container_runtime="docker" -else - echo "Error: Neither docker nor podman is installed. Exiting." - exit 1 -fi - - -# If the color table file exists, -if [[ -f "${coltable}" ]]; then - # source it - source "${coltable}" -# Otherwise, -else - # Set these values so the installer can still run in color - COL_NC='\e[0m' # No Color - COL_LIGHT_GREEN='\e[1;32m' - COL_LIGHT_RED='\e[1;31m' - TICK="[${COL_LIGHT_GREEN}✓${COL_NC}]" - CROSS="[${COL_LIGHT_RED}✗${COL_NC}]" - INFO="[i]" - # shellcheck disable=SC2034 - DONE="${COL_LIGHT_GREEN} done!${COL_NC}" - OVER="\\r\\033[K" -fi - -# printf " %b Stopping Serving container %s\\n" "${INFO}" -# ${container_runtime} container stop showroom-httpd -# printf "%b %b %s\\n" "${OVER}" "${TICK}" "Container stopped " - -printf " %b Cleaning site %s\\n" "${INFO}" -rm -rf ./content/www/* -printf "%b %b %s\\n" "${OVER}" "${TICK}" "Site Cleaned " - -printf " %b Rebuilding site %s\\n" "${INFO}" -mkdir -p ./content/www - -time \ -${container_runtime} run --rm --name showroom-builder \ - --platform linux/amd64 \ - -v "${PWD}:/antora" \ - docker.io/antora/antora default-site.yml -printf "%b %b %s\\n" "${OVER}" "${TICK}" "Site Rebuilt " - -# printf " %b Caching site %s\\n" "${INFO}" -# rm -rf ./content/www-cache/ -# cp -rp ./content/www/ \ -# ./content/www-cache/ - -printf " %b (Re-)Starting serving container %s\\n" "${INFO}" - -CONTAINER_NAME="showroom-httpd" - -if ${container_runtime} inspect --format '{{.State.Running}}' $CONTAINER_NAME &>/dev/null; then - ${container_runtime} restart $CONTAINER_NAME - printf "%b %b %s\\n" "${OVER}" "${TICK}" "container restarted " -else - ${container_runtime} run --rm \ - -d \ - --name showroom-httpd \ - -p 8443:80 \ - -v "${PWD}/content/www:/usr/local/apache2/htdocs/" \ - docker.io/httpd:2.4 - printf "%b %b %s\\n" "${OVER}" "${TICK}" "container started " -fi - -printf "%b %b %s\\n" "${OVER}" "${TICK}" "Site is served! " -printf "%b %b %s\\n" "${OVER}" "${TICK}" "Click on this link: http://localhost:8443/index.html " -printf "%-100s\n" | tr ' ' '-' - diff --git a/content/utilities/lab-serve b/content/utilities/lab-serve deleted file mode 100755 index 3fefe6e0..00000000 --- a/content/utilities/lab-serve +++ /dev/null @@ -1,26 +0,0 @@ -#!/usr/bin/env bash -# - -# Check if podman is available -if command -v podman &> /dev/null; then - container_runtime="podman" -# If podman is not available, check if docker is available -elif command -v docker &> /dev/null; then - container_runtime="docker" -else - echo "Error: Neither docker nor podman is installed. Exiting." - exit 1 -fi - - -echo "Starting serve process..." -# TODO: Add case statement to allow stopping, starting, and restarting -# TODO: Add logic to detect both podman and docker, if both are installed, use podman as default "first found" -# TODO: Move to RHEL image -${container_runtime} run -it --rm \ - --name showroom-httpd \ - -p 8443:80 \ - -v "${PWD}/content/www:/usr/local/apache2/htdocs/" \ - docker.io/httpd:2.4 - -echo "Serving lab content on http://localhost:8443/index.html" \ No newline at end of file diff --git a/content/utilities/lab-stop b/content/utilities/lab-stop deleted file mode 100755 index dd6dc930..00000000 --- a/content/utilities/lab-stop +++ /dev/null @@ -1,18 +0,0 @@ -#!/usr/bin/env bash -# - - -# Check if podman is available -if command -v podman &> /dev/null; then - container_runtime="podman" -# If podman is not available, check if docker is available -elif command -v docker &> /dev/null; then - container_runtime="docker" -else - echo "Error: Neither docker nor podman is installed. Exiting." - exit 1 -fi - -echo "Stopping serve process..." -${container_runtime} kill showroom-httpd -echo "Stopped serve process." \ No newline at end of file diff --git a/default-site.yml b/default-site.yml deleted file mode 100644 index f6dd34df..00000000 --- a/default-site.yml +++ /dev/null @@ -1,21 +0,0 @@ -site: - title: "OpenShift AI Unleashed: Transforming Claims Processing for Maximum Efficiency!" - url: https://redhat-scholars.github.io/course-template - start_page: modules::index.adoc - -ui: - bundle: - url: ./content/docs-ui/ui-bundle.zip - supplemental_files: ./content/supplemental-ui - -content: - edit_url: 'https://github.com/rh-aiservices-bu/parasol-insurance/edit/dev/{path}' - sources: - - url: ./ - start_path: content - -output: - dir: ./content/www - -runtime: - cache_dir: ./content/.cache/antora diff --git a/lab-materials/02/02-04-first-jupyter-notebook.ipynb b/lab-materials/02/02-04-first-jupyter-notebook.ipynb deleted file mode 100644 index 9002f320..00000000 --- a/lab-materials/02/02-04-first-jupyter-notebook.ipynb +++ /dev/null @@ -1,112 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "991808d0-7d79-47f2-b8cc-764fe86a6156", - "metadata": { - "tags": [] - }, - "source": [ - "# Your First Jupyter Notebook\n", - "\n", - "NOTE: **If you are already familiar with Jupyter Notebook**, and you understand how to edit and run cells, and how to use other Jupyter features, you can skip this notebook and continue to the next one.\n", - "\n", - "## What are Jupyter notebooks?\n", - "\n", - "This is a [Jupyter](https://jupyter.org/) notebook. You need to know only a few things to get started.\n", - "\n", - "* Jupyter notebooks are made up of _cells_ that can contain prose, executable code, or interactive UI elements. This cell is a prose cell.\n", - "\n", - "* You can edit and execute cells. To edit a cell, double-click until the frame around it is highlighted. To execute a cell (whether you've edited it or not), click the play button at the top of the file window or select the cell and then press SHIFT+ENTER.\n", - "\n", - "
    \n", - " missing\n", - "
    \n", - " \n", - " Jupyter executes the code in the cell, records the code output, and advances to the next cell. \n", - "\n", - "* While a cell is executing, an asterisk shows in the margin, for example: `In: [*]`. After a cell completes executing, the asterisk is replaced with a sequence number.\n", - "\n", - "\n", - "Let's try it out now! Try executing the next cell" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3b4dc1f1-8d6e-4869-ade8-cafc22baa817", - "metadata": {}, - "outputs": [], - "source": [ - "def print_some_text(entered_text):\n", - " print(\"This is what you entered: \\n\" + entered_text)\n", - " \n", - "my_text = \"This cell is for code. You can execute code by clicking on the play button above or hitting SHIFT+ENTER.\"\n", - "\n", - "print_some_text(my_text)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "70c9ed5e-60e1-42dd-b9c3-87fcfc79493e", - "metadata": {}, - "outputs": [], - "source": [ - "new_text = \"Next, let's see how you would write narrative text or documentation.\"\n", - "\n", - "# previously defined functions from another cell are still accessible.\n", - "print_some_text(new_text)" - ] - }, - { - "cell_type": "markdown", - "id": "92bc6513-dbe5-4128-9399-d4d3ab9be845", - "metadata": {}, - "source": [ - "## This is a markdown cell\n", - "### Chapter 1\n", - "You can use **markdown formatting** to enter your text.\n", - "\n", - "*Double-click* on a cell to modify it.\n", - "\n", - "[Markdown reference](https://www.markdownguide.org/basic-syntax/)" - ] - }, - { - "cell_type": "markdown", - "id": "edaf739c-ff87-457b-914e-5d74428fa8ed", - "metadata": {}, - "source": [ - "## More Information\n", - "\n", - "For more information about Jupyter, click the **Help menu** in the Jupyter window's menu bar.\n", - "\n", - "
    \n", - " missing\n", - "
    " - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.9", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.16" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/lab-materials/02/02-05-validating.ipynb b/lab-materials/02/02-05-validating.ipynb deleted file mode 100644 index 7dec031a..00000000 --- a/lab-materials/02/02-05-validating.ipynb +++ /dev/null @@ -1,103 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "tags": [] - }, - "source": [ - "# Define functions" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "import socket\n", - "\n", - "def check_service_connection(host, port, name):\n", - " try:\n", - " # Create a socket object\n", - " s = socket.create_connection((host, port), timeout=5)\n", - " s.close()\n", - " return True\n", - " except socket.timeout:\n", - " return False\n", - " except ConnectionRefusedError:\n", - " return False\n", - " except socket.gaierror as e:\n", - " return f\"Error: {name} - {e}\"\n", - "\n", - "def check_services(services):\n", - " for service in services:\n", - " host, port, name = service\n", - " result = check_service_connection(host, port, name)\n", - " if result is True:\n", - " print(f\"Success: {name} is reachable on {host}:{port}\")\n", - " elif result is False:\n", - " print(f\"Failure: {name} is NOT reachable on {host}:{port}\")\n", - " else:\n", - " print(result)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "tags": [] - }, - "source": [ - "# Execute checks" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Confirm that services are reachable\n", - "if __name__ == \"__main__\":\n", - " # List of services to check\n", - " services_to_check = [\n", - " (\"minio.ic-shared-minio.svc.cluster.local\", 9000, \"Minio\"),\n", - " (\"gitea.gitea.svc.cluster.local\", 3000, \"Gitea\"),\n", - " (\"claimdb.ic-shared-db.svc.cluster.local\", 5432, \"Postgres Database\"),\n", - " (\"llm.ic-shared-llm.svc.cluster.local\", 8000, \"LLM Service\"),\n", - " (\"llm-flant5.ic-shared-llm.svc.cluster.local\", 3000, \"LLM Service-FlanT5\"),\n", - " (\"modelmesh-serving.ic-shared-img-det.svc.cluster.local\", 8033, \"ModelMesh\"),\n", - " (\"vectordb-milvus.ic-shared-milvus.svc.cluster.local\", 19530, \"Milvus Vector DB\"),\n", - " # Add more services as needed\n", - " ]\n", - "\n", - " check_services(services_to_check)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.11", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.7" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/lab-materials/03/03-01-nb-llm-example.ipynb b/lab-materials/03/03-01-nb-llm-example.ipynb deleted file mode 100644 index 8b0da84a..00000000 --- a/lab-materials/03/03-01-nb-llm-example.ipynb +++ /dev/null @@ -1,198 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "4ad2cc4e-31ec-4648-b0fe-6632f2bdbc36", - "metadata": {}, - "source": [ - "## Working with an LLM programmatically\n", - "\n", - "You have certainly interacted before with a Large Language Model (LLM) like ChatGPT. This is usually done through a UI or an application.\n", - "\n", - "In this Notebook, we are going to use Python to connect and query an LLM directly through its API. For this Lab we have selected the model **Mistral-7B Instruct v2**.(https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2). This is a fully Open Source model (Apache 2.0 license), that although much lighter than other commercial or open source models is very capable, especially with the tasks we intend to use it for.\n", - "\n", - "This model has already been deployed on the Lab cluster because even if it's a smaller model, it still needs a GPU with 24GB of RAM to run..." - ] - }, - { - "cell_type": "markdown", - "id": "2a4e2b81-0e10-4390-a7b8-5ddfda53a3e3", - "metadata": {}, - "source": [ - "### Requirements and Imports\n", - "\n", - "If you have selected the right workbench image to launch as per the Lab's instructions, you should already have all the needed libraries. If not uncomment the first line in the next cell to install all the right packages. We will then import the libraries we need." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d61c595d-967e-47de-a598-02b5d1ccec85", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# !pip install --no-cache-dir --no-dependencies --disable-pip-version-check -r requirements.txt # Uncomment only if you have not selected the right workbench image\n", - "\n", - "import json\n", - "import os\n", - "from os import listdir\n", - "from os.path import isfile, join\n", - "from langchain.chains import LLMChain\n", - "from langchain_community.llms import VLLMOpenAI\n", - "from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler\n", - "from langchain.prompts import PromptTemplate" - ] - }, - { - "cell_type": "markdown", - "id": "c428fbad-2345-4536-b687-72416d6b9b15", - "metadata": {}, - "source": [ - "### Langchain\n", - "\n", - "Langchain (https://www.langchain.com/) is a framework for developing applications powered by language models. It will take care for us of all the boilerplate code we would have to manually write to properly query an LLM.\n", - "\n", - "We will start by creating an **llm** instance, defined by the location where the LLM API can be queried and some parameters that will be applied to the model. For example, `max_new_tokens` will instruct the model to answer with a maximum of 512 tokens (words or parts of words). `temperature`, set really low here, will instruct the model to stay truth-grounded, and not try to be too \"creative\". After all, we're not trying to write a fancy poem here!" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "77f95a70-89fb-4e21-a51c-24e862b7953e", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# LLM Inference Server URL\n", - "inference_server_url = \"http://llm.ic-shared-llm.svc.cluster.local:8000\"\n", - "\n", - "# LLM definition\n", - "llm = VLLMOpenAI( # we are using the vLLM OpenAI-compatible API client. But the Model is running on OpenShift, not OpenAI.\n", - " openai_api_key=\"EMPTY\", # and that is why we don't need an OpenAI key for this.\n", - " openai_api_base= f\"{inference_server_url}/v1\",\n", - " model_name=\"mistralai/Mistral-7B-Instruct-v0.2\",\n", - " top_p=0.92,\n", - " temperature=0.01,\n", - " max_tokens=512,\n", - " presence_penalty=1.03,\n", - " streaming=True,\n", - " callbacks=[StreamingStdOutCallbackHandler()]\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "20b950bc-4d73-49e5-a35b-083a784edd50", - "metadata": {}, - "source": [ - "We also need a **template** to be applied to every request we are sending to the model (the \"Prompt\").\n", - "\n", - "When querying a model, you almost never want to send directly what the user has typed. On top of this entry, you need to give proper instructions to the model so that it knows how to handle it: what and how to answer, what NOT to answer, the tone it must use..." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f8bb7517-faa2-43ed-a95d-835de975f916", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "template=\"\"\"[INST]<>\n", - "You are a helpful, respectful and honest assistant. Always be as helpful as possible, while being safe.\n", - "You will be asked a question, to which you must give an answer.\n", - "Your answer should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content.\n", - "Please ensure that your responses are socially unbiased and positive in nature.\n", - "If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct.\n", - "If you don't know the answer to a question, answer \"I don't know\".\n", - "<>\n", - "\n", - "### QUESTION:\n", - "{input}\n", - "\n", - "### ANSWER:\n", - "[/INST]\n", - "\"\"\"\n", - "PROMPT = PromptTemplate(input_variables=[\"input\"], template=template)" - ] - }, - { - "cell_type": "markdown", - "id": "9cbe2119-2128-4432-aed1-126e9c8c034f", - "metadata": {}, - "source": [ - "Langchain allows us to now easily \"stitch\" those elements together and create a **conversation** object that we will use to query the model." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0e6d9f32-d4ae-4c2f-b513-d520413d2cc8", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "conversation = LLMChain(llm=llm,\n", - " prompt=PROMPT,\n", - " verbose=False\n", - " )" - ] - }, - { - "cell_type": "markdown", - "id": "849fbd67-220c-4a02-8e4e-7e0d1aa91588", - "metadata": {}, - "source": [ - "We are now ready to query the model!" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ca714bca-7cec-4afc-b275-fa389c05a993", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "query = \"What is Artificial Intelligence?\"\n", - "\n", - "conversation.predict(input=query); # \";\" at the end of the line hides final output (repetion of the streamed answer)" - ] - }, - { - "cell_type": "markdown", - "id": "c0089476-bba0-4093-8be8-1469780afaba", - "metadata": {}, - "source": [ - "You can come back to this notebook at section 3.7 for some optional exercises if you want." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.11", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.7" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/lab-materials/03/03-02-summarization.ipynb b/lab-materials/03/03-02-summarization.ipynb deleted file mode 100644 index 16e31f0f..00000000 --- a/lab-materials/03/03-02-summarization.ipynb +++ /dev/null @@ -1,222 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "4ad2cc4e-31ec-4648-b0fe-6632f2bdbc36", - "metadata": {}, - "source": [ - "## Summarizing a text using an LLM\n", - "\n", - "As an LLM \"understands\" a language, it can be suited for tasks like translation or summarization.\n", - "\n", - "In this Notebook, we are going to use our LLM to summarize some texts, especially claims examples." - ] - }, - { - "cell_type": "markdown", - "id": "2a4e2b81-0e10-4390-a7b8-5ddfda53a3e3", - "metadata": {}, - "source": [ - "### Requirements and Imports\n", - "\n", - "If you have selected the right workbench image to launch as per the Lab's instructions, you should already have all the needed libraries. If not uncomment the first line in the next cell to install all the right packages." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d61c595d-967e-47de-a598-02b5d1ccec85", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# !pip install --no-cache-dir --no-dependencies --disable-pip-version-check -r requirements.txt # Uncomment only if you have not selected the right workbench image\n", - "\n", - "import json\n", - "import os\n", - "from os import listdir\n", - "from os.path import isfile, join\n", - "from langchain.chains import LLMChain\n", - "from langchain_community.llms import VLLMOpenAI\n", - "from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler\n", - "from langchain.prompts import PromptTemplate" - ] - }, - { - "cell_type": "markdown", - "id": "c428fbad-2345-4536-b687-72416d6b9b15", - "metadata": {}, - "source": [ - "### Langchain pipeline\n", - "\n", - "Again, we are going to use Langchain to define our summarization pipeline." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "77f95a70-89fb-4e21-a51c-24e862b7953e", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# LLM Inference Server URL\n", - "inference_server_url = \"http://llm.ic-shared-llm.svc.cluster.local:8000\"\n", - "\n", - "# LLM definition\n", - "llm = VLLMOpenAI( # we are using the vLLM OpenAI-compatible API client. But the Model is running on OpenShift, not OpenAI.\n", - " openai_api_key=\"EMPTY\", # and that is why we don't need an OpenAI key for this.\n", - " openai_api_base= f\"{inference_server_url}/v1\",\n", - " model_name=\"mistralai/Mistral-7B-Instruct-v0.2\",\n", - " top_p=0.92,\n", - " temperature=0.01,\n", - " max_tokens=512,\n", - " presence_penalty=1.03,\n", - " streaming=True,\n", - " callbacks=[StreamingStdOutCallbackHandler()]\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "20b950bc-4d73-49e5-a35b-083a784edd50", - "metadata": {}, - "source": [ - "The **template** we will use is now formatted for this specific summarization task." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f8bb7517-faa2-43ed-a95d-835de975f916", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "template=\"\"\"[INST]\n", - "You are a helpful, respectful and honest assistant.\n", - "Always assist with care, respect, and truth. Respond with utmost utility yet securely.\n", - "Avoid harmful, unethical, prejudiced, or negative content. Ensure replies promote fairness and positivity.\n", - "I will give you a text that you must summarize as best as you can.\n", - "\n", - "### TEXT:\n", - "{input}\n", - "\n", - "### SUMMARY:\n", - "[/INST]\n", - "\"\"\"\n", - "PROMPT = PromptTemplate(input_variables=[\"input\"], template=template)" - ] - }, - { - "cell_type": "markdown", - "id": "9cbe2119-2128-4432-aed1-126e9c8c034f", - "metadata": {}, - "source": [ - "And we can now create the **conversation** object that we will use to query the model." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0e6d9f32-d4ae-4c2f-b513-d520413d2cc8", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "conversation = LLMChain(llm=llm,\n", - " prompt=PROMPT,\n", - " verbose=False\n", - " )" - ] - }, - { - "cell_type": "markdown", - "id": "849fbd67-220c-4a02-8e4e-7e0d1aa91588", - "metadata": {}, - "source": [ - "We are now ready to query the model!\n", - "\n", - "In the `claims` folder we have JSON files with examples of claims that could be received. We are going to read those files, display them, then the summary that the LLM made." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ca714bca-7cec-4afc-b275-fa389c05a993", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Read the claims and populate a dictionary\n", - "claims_path = 'claims'\n", - "onlyfiles = [f for f in listdir(claims_path) if isfile(join(claims_path, f))]\n", - "\n", - "claims = {}\n", - "\n", - "for filename in onlyfiles:\n", - " # Opening JSON file\n", - " with open(os.path.join(claims_path, filename), 'r') as file:\n", - " data = json.load(file)\n", - " claims[filename] = data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dac009d5-d558-4258-9735-4fb0de46c309", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "for filename in onlyfiles:\n", - " print(f\"***************************\")\n", - " print(f\"* Claim: {filename}\")\n", - " print(f\"***************************\")\n", - " print(\"Original content:\")\n", - " print(\"-----------------\")\n", - " print(f\"Subject: {claims[filename]['subject']}\\nContent:\\n{claims[filename]['content']}\\n\\n\")\n", - " print('Summary:')\n", - " print(\"--------\")\n", - " summary_input = f\"Subject: {claims[filename]['subject']}\\nContent:\\n{claims[filename]['content']}\"\n", - " conversation.predict(input=summary_input);\n", - " print(\"\\n\\n ----====----\\n\")" - ] - }, - { - "cell_type": "markdown", - "id": "6e28a5b0-6c93-42ba-84dd-42e17746d11d", - "metadata": {}, - "source": [ - "You can come back to this notebook at section 3.7 for some optional exercises if you want." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.11", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.7" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/lab-materials/03/03-03-information-extraction.ipynb b/lab-materials/03/03-03-information-extraction.ipynb deleted file mode 100644 index ef21d0b8..00000000 --- a/lab-materials/03/03-03-information-extraction.ipynb +++ /dev/null @@ -1,236 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "4ad2cc4e-31ec-4648-b0fe-6632f2bdbc36", - "metadata": {}, - "source": [ - "## Extracting information from a text using an LLM\n", - "\n", - "As an LLM \"understands\" a language, it can be suited for tasks like sentiment analysis or information extraction.\n", - "\n", - "In this Notebook, we are going to use our LLM to analyze the claims to find the state of mind of the person writing, and the location and time of the accident." - ] - }, - { - "cell_type": "markdown", - "id": "2a4e2b81-0e10-4390-a7b8-5ddfda53a3e3", - "metadata": {}, - "source": [ - "### Requirements and Imports\n", - "\n", - "If you have selected the right workbench image to launch as per the Lab's instructions, you should already have all the needed libraries. If not uncomment the first line in the next cell to install all the right packages." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d61c595d-967e-47de-a598-02b5d1ccec85", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# !pip install --no-cache-dir --no-dependencies --disable-pip-version-check -r requirements.txt # Uncomment only if you have not selected the right workbench image\n", - "\n", - "import json\n", - "import os\n", - "from os import listdir\n", - "from os.path import isfile, join\n", - "from langchain.chains import LLMChain\n", - "from langchain_community.llms import VLLMOpenAI\n", - "from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler\n", - "from langchain.prompts import PromptTemplate" - ] - }, - { - "cell_type": "markdown", - "id": "c428fbad-2345-4536-b687-72416d6b9b15", - "metadata": {}, - "source": [ - "### Langchain pipeline\n", - "\n", - "Again, we are going to use Langchain to define our task pipeline." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "77f95a70-89fb-4e21-a51c-24e862b7953e", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# LLM Inference Server URL\n", - "inference_server_url = \"http://llm.ic-shared-llm.svc.cluster.local:8000\"\n", - "\n", - "# LLM definition\n", - "llm = VLLMOpenAI( # we are using the vLLM OpenAI-compatible API client. But the Model is running on OpenShift, not OpenAI.\n", - " openai_api_key=\"EMPTY\", # and that is why we don't need an OpenAI key for this.\n", - " openai_api_base= f\"{inference_server_url}/v1\",\n", - " model_name=\"mistralai/Mistral-7B-Instruct-v0.2\",\n", - " top_p=0.92,\n", - " temperature=0.01,\n", - " max_tokens=512,\n", - " presence_penalty=1.03,\n", - " streaming=True,\n", - " callbacks=[StreamingStdOutCallbackHandler()]\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "20b950bc-4d73-49e5-a35b-083a784edd50", - "metadata": {}, - "source": [ - "We will now define a **template** to use specifically with the different tasks." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f8bb7517-faa2-43ed-a95d-835de975f916", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "template=\"\"\"[INST]\n", - "You are a helpful, respectful and honest assistant.\n", - "Always assist with care, respect, and truth. Respond with utmost utility yet securely.\n", - "Avoid harmful, unethical, prejudiced, or negative content. Ensure replies promote fairness and positivity.\n", - "I will give you a text, then ask a question about it. Give a precise and as concise as possible answer to this question.\n", - "\n", - "### TEXT:\n", - "{text}\n", - "\n", - "### QUESTION:\n", - "{query}\n", - "\n", - "### ANSWER:\n", - "[/INST]\n", - "\"\"\"\n", - "PROMPT = PromptTemplate(input_variables=[\"input\"], template=template)" - ] - }, - { - "cell_type": "markdown", - "id": "9cbe2119-2128-4432-aed1-126e9c8c034f", - "metadata": {}, - "source": [ - "And we can now create the **conversation** object that we will use to query the model." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0e6d9f32-d4ae-4c2f-b513-d520413d2cc8", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "conversation = LLMChain(llm=llm,\n", - " prompt=PROMPT,\n", - " verbose=False\n", - " )" - ] - }, - { - "cell_type": "markdown", - "id": "849fbd67-220c-4a02-8e4e-7e0d1aa91588", - "metadata": {}, - "source": [ - "We are now ready to query the model!\n", - "\n", - "In the `claims` folder we have JSON files with examples of claims that could be received. We are going to read those files, display them, then the analysis that the LLM made." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ca714bca-7cec-4afc-b275-fa389c05a993", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Read the claims and populate a dictionary\n", - "\n", - "claims_path = 'claims'\n", - "onlyfiles = [f for f in listdir(claims_path) if isfile(join(claims_path, f))]\n", - "\n", - "claims = {}\n", - "\n", - "for filename in onlyfiles:\n", - " # Opening JSON file\n", - " with open(os.path.join(claims_path, filename), 'r') as file:\n", - " data = json.load(file)\n", - " claims[filename] = data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dac009d5-d558-4258-9735-4fb0de46c309", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Analyze the claims\n", - "\n", - "for filename in onlyfiles:\n", - " print(f\"***************************\")\n", - " print(f\"* Claim: {filename}\")\n", - " print(f\"***************************\")\n", - " print(\"Original content:\")\n", - " print(\"-----------------\")\n", - " print(f\"Subject: {claims[filename]['subject']}\\nContent:\\n{claims[filename]['content']}\\n\\n\")\n", - " print('Analysis:')\n", - " print(\"--------\")\n", - " text_input = f\"Subject: {claims[filename]['subject']}\\nContent:\\n{claims[filename]['content']}\"\n", - " sentiment_query = \"What is the sentiment of the person sending this claim?\"\n", - " location_query = \"Where does the event the claim is related to happen?\"\n", - " time_query = \"When does the event the claim is related to happen? If possible, specify the date and the time.\"\n", - " print(f\"- Sentiment: \")\n", - " conversation.predict(text=text_input, query=sentiment_query);\n", - " print(\"\\n- Location: \")\n", - " conversation.predict(text=text_input, query=location_query);\n", - " print(\"\\n- Time: \")\n", - " conversation.predict(text=text_input, query=time_query);\n", - " print(\"\\n\\n ----====----\\n\")" - ] - }, - { - "cell_type": "markdown", - "id": "6e28a5b0-6c93-42ba-84dd-42e17746d11d", - "metadata": {}, - "source": [ - "You can come back to this notebook at section 3.7 for some optional exercises if you want." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.11", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.7" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/lab-materials/03/03-04-comparing-model-servers.ipynb b/lab-materials/03/03-04-comparing-model-servers.ipynb deleted file mode 100644 index 2aab4d42..00000000 --- a/lab-materials/03/03-04-comparing-model-servers.ipynb +++ /dev/null @@ -1,269 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "4ad2cc4e-31ec-4648-b0fe-6632f2bdbc36", - "metadata": {}, - "source": [ - "## Comparing models for our different tasks\n", - "\n", - "In this Notebook, we are going to use another model, Flan-T5-large in parallel to Mistral-7B and see how it behaves.\n", - "\n", - "Flan-T5-Large is indeed smaller, will run without GPU and use only 4 GB of RAM, but is it up to the task?" - ] - }, - { - "cell_type": "markdown", - "id": "2a4e2b81-0e10-4390-a7b8-5ddfda53a3e3", - "metadata": {}, - "source": [ - "### Requirements and Imports\n", - "\n", - "If you have selected the right workbench image to launch as per the Lab's instructions, you should already have all the needed libraries. If not uncomment the first line in the next cell to install all the right packages." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d61c595d-967e-47de-a598-02b5d1ccec85", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# !pip install --no-cache-dir --no-dependencies --disable-pip-version-check -r requirements.txt # Uncomment only if you have not selected the right workbench image\n", - "\n", - "import json\n", - "import os\n", - "from os import listdir\n", - "from os.path import isfile, join\n", - "from langchain.chains import LLMChain\n", - "from langchain_community.llms import VLLMOpenAI, HuggingFaceTextGenInference\n", - "from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler\n", - "from langchain.prompts import PromptTemplate" - ] - }, - { - "cell_type": "markdown", - "id": "c428fbad-2345-4536-b687-72416d6b9b15", - "metadata": {}, - "source": [ - "### Langchain pipeline\n", - "\n", - "We are now going to define two different LLM endpoints, and two different Langchain pipelines." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "77f95a70-89fb-4e21-a51c-24e862b7953e", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# LLM Inference Server URL\n", - "inference_server_url = \"http://llm.ic-shared-llm.svc.cluster.local:8000\"\n", - "\n", - "# LLM definition\n", - "llm = VLLMOpenAI( # we are using the vLLM OpenAI-compatible API client. But the Model is running on OpenShift, not OpenAI.\n", - " openai_api_key=\"EMPTY\", # and that is why we don't need and OpenAI key for this.\n", - " openai_api_base= f\"{inference_server_url}/v1\",\n", - " model_name=\"mistralai/Mistral-7B-Instruct-v0.2\",\n", - " top_p=0.92,\n", - " temperature=0.01,\n", - " max_tokens=512,\n", - " presence_penalty=1.03,\n", - " streaming=True,\n", - " callbacks=[StreamingStdOutCallbackHandler()]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "782046b7-f0a4-487c-86fc-3131e668c6c0", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings(\"ignore\")\n", - "\n", - "# Flan-T5-Small LLM Inference Server URL\n", - "inference_server_url_flan_t5 = \"http://llm-flant5.ic-shared-llm.svc.cluster.local:3000/\"\n", - "\n", - "# LLM definition\n", - "llm_flant5 = HuggingFaceTextGenInference(\n", - " inference_server_url=inference_server_url_flan_t5,\n", - " max_new_tokens=96,\n", - " top_k=10,\n", - " top_p=0.95,\n", - " typical_p=0.95,\n", - " temperature=0.01,\n", - " repetition_penalty=1.03,\n", - " streaming=True,\n", - " callbacks=[StreamingStdOutCallbackHandler()]\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "20b950bc-4d73-49e5-a35b-083a784edd50", - "metadata": {}, - "source": [ - "The **template** will be the same for both models." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f8bb7517-faa2-43ed-a95d-835de975f916", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "template=\"\"\"[INST]\n", - "You are a helpful, respectful and honest assistant.\n", - "Always assist with care, respect, and truth. Respond with utmost utility yet securely.\n", - "Avoid harmful, unethical, prejudiced, or negative content. Ensure replies promote fairness and positivity.\n", - "I will give you a text, then ask a question about it. Give a precise and as concise as possible answer to this question.\n", - "\n", - "### TEXT:\n", - "{text}\n", - "\n", - "### QUESTION:\n", - "{query}\n", - "\n", - "### ANSWER:\n", - "[/INST]\n", - "\"\"\"\n", - "PROMPT = PromptTemplate(input_variables=[\"input\"], template=template)" - ] - }, - { - "cell_type": "markdown", - "id": "9cbe2119-2128-4432-aed1-126e9c8c034f", - "metadata": {}, - "source": [ - "And we can now create two **conversation** objects that we will use to query the two models." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0e6d9f32-d4ae-4c2f-b513-d520413d2cc8", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "conversation = LLMChain(llm=llm,\n", - " prompt=PROMPT,\n", - " verbose=False\n", - " )\n", - "conversation_flant5 = LLMChain(llm=llm_flant5,\n", - " prompt=PROMPT,\n", - " verbose=False\n", - " )" - ] - }, - { - "cell_type": "markdown", - "id": "849fbd67-220c-4a02-8e4e-7e0d1aa91588", - "metadata": {}, - "source": [ - "We are now ready to query the models!\n", - "\n", - "In this example, we are only going to query one claim and see what happens. Of course, feel free to try with different ones." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dac009d5-d558-4258-9735-4fb0de46c309", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "filename = 'claims/claim1.json'\n", - "\n", - "# Opening JSON file\n", - "claims = {}\n", - "with open(filename, 'r') as file:\n", - " data = json.load(file)\n", - "claims[filename] = data\n", - "\n", - "# Analyze the claim\n", - "print(f\"***************************\")\n", - "print(f\"* Claim: {filename}\")\n", - "print(f\"***************************\")\n", - "print(\"Original content:\")\n", - "print(\"-----------------\")\n", - "print(f\"Subject: {claims[filename]['subject']}\\nContent:\\n{claims[filename]['content']}\\n\\n\")\n", - "print('Analysis with Mistral-7B:')\n", - "print(\"--------\")\n", - "text_input = f\"Subject: {claims[filename]['subject']}\\nContent:\\n{claims[filename]['content']}\"\n", - "sentiment_query = \"What is the sentiment of the person sending this claim?\"\n", - "location_query = \"Where does the event the claim is related to happen?\"\n", - "time_query = \"When does the event the claim is related to happen? If possible, specify the date and the time.\"\n", - "print(f\"- Sentiment: \")\n", - "conversation.predict(text=text_input, query=sentiment_query);\n", - "print(\"\\n- Location: \")\n", - "conversation.predict(text=text_input, query=location_query);\n", - "print(\"\\n- Time: \")\n", - "conversation.predict(text=text_input, query=time_query);\n", - "print(\"\\n\\n ----====----\\n\")\n", - "print('Analysis with Flan-T5-Large:')\n", - "print(\"--------\")\n", - "text_input = f\"Subject: {claims[filename]['subject']}\\nContent:\\n{claims[filename]['content']}\"\n", - "sentiment_query = \"What is the sentiment of the person sending this claim?\"\n", - "location_query = \"Where does the event the claim is related to happen?\"\n", - "time_query = \"When does the event the claim is related to happen? If possible, specify the date and the time.\"\n", - "print(f\"- Sentiment: \")\n", - "conversation_flant5.predict(text=text_input, query=sentiment_query);\n", - "print(\"\\n- Location: \")\n", - "conversation_flant5.predict(text=text_input, query=location_query);\n", - "print(\"\\n- Time: \")\n", - "conversation_flant5.predict(text=text_input, query=time_query);\n", - "print(\"\\n\\n ----====----\\n\")" - ] - }, - { - "cell_type": "markdown", - "id": "6e28a5b0-6c93-42ba-84dd-42e17746d11d", - "metadata": {}, - "source": [ - "As you can see, Flan-T5-Large is faster to produce some of the results as it's a 770 Million parameters model only. However those results are less accurate or detailed. So it works to some extent, but the results are nowhere near the ones from Mistral-7B, which is a 7 Billion parameter.\n", - "\n", - "The art of working with LLM is to find the right balance between the performance and accuracy you require, and the resources it takes along with the involved costs.\n", - "\n", - "Therefore it's important to have confidence checks in place to make sure that as your data changes, or your model evolves, you always get the behaviour you expected." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.11", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.7" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/lab-materials/03/03-05-retrieval-augmented-generation.ipynb b/lab-materials/03/03-05-retrieval-augmented-generation.ipynb deleted file mode 100644 index 4228d352..00000000 --- a/lab-materials/03/03-05-retrieval-augmented-generation.ipynb +++ /dev/null @@ -1,353 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "4ad2cc4e-31ec-4648-b0fe-6632f2bdbc36", - "metadata": { - "tags": [] - }, - "source": [ - "## Extending the capabilities of our model\n", - "\n", - "An LLM is a very capable tool, but only to the extent of the knowledge or information it has been trained on. After all, you only know what you know, right? But what if you need to ask a question that is not in the training data? Or what if you need to ask a question that is not in the training data, but is related to it?\n", - "\n", - "There are different ways to solve this problem, depending on the resources you have and the time or money you can spend on it. Here are a few options:\n", - "\n", - "- Fully retrain the model to include the information you need. For an LLM, it's only possible for a handful of companies in the world that can afford literally thousands of GPUs running for weeks.\n", - "- Fine-tune the model with this new information. This requires way less resources, and can usually be done in a few hours or minutes (depending on the size of the model). However as it does not fully retrain the model, the new information may not be completely integrated in the answers. Fine-tuning excels at giving a better understanding of a specific context or vocabulary, a little bit less on injecting new knowledge. Plus you have to retrain and redeploy the model anyway any time you want to add more information.\n", - "- Put this new information in a database and have the parts relevant to the query retrieved and added to this query as a context before sending it to the LLM. This technique is called **Retrieval Augmented Generation, or RAG**. It is interesting as you don't have to retrain or fine-tune the model to benefit of this new knowledge, that you can easily update at any time.\n", - "\n", - "We have already prepared a Vector Database using [Milvus](https://milvus.io/), where we have stored (in the form of [Embeddings](https://www.ibm.com/topics/embedding)) the content of the [California Driver's Handbook](https://www.dmv.ca.gov/portal/handbook/california-driver-handbook/).\n", - "\n", - "In this Notebook, we are going to use RAG to **make some queries about a Claim** and see how this new knowledge can help without having to modify our LLM." - ] - }, - { - "cell_type": "markdown", - "id": "2a4e2b81-0e10-4390-a7b8-5ddfda53a3e3", - "metadata": {}, - "source": [ - "### Requirements and Imports\n", - "\n", - "If you have selected the right workbench image to launch as per the Lab's instructions, you should already have all the needed libraries. If not uncomment the first line in the next cell to install all the right packages." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d61c595d-967e-47de-a598-02b5d1ccec85", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# !pip install --no-cache-dir --no-dependencies --disable-pip-version-check -r requirements.txt # Uncomment only if you have not selected the right workbench image\n", - "\n", - "import json\n", - "import os\n", - "from os import listdir\n", - "from os.path import isfile, join\n", - "from langchain.chains import LLMChain\n", - "from langchain.chains import LLMChain, RetrievalQA\n", - "from langchain.embeddings.huggingface import HuggingFaceEmbeddings\n", - "from langchain_community.llms import VLLMOpenAI\n", - "from langchain_community.vectorstores import Milvus\n", - "from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler\n", - "from langchain.prompts import PromptTemplate\n", - "from milvus_retriever_with_score_threshold import MilvusRetrieverWithScoreThreshold\n", - "\n", - "#Turn off warnings when downloading the embedding model\n", - "import transformers\n", - "transformers.logging.set_verbosity_error()" - ] - }, - { - "cell_type": "markdown", - "id": "c428fbad-2345-4536-b687-72416d6b9b15", - "metadata": {}, - "source": [ - "### Langchain elements\n", - "\n", - "Again, we are going to use Langchain to define our task pipeline.\n", - "\n", - "First, the **LLM** where we will send our queries." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "77f95a70-89fb-4e21-a51c-24e862b7953e", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# LLM Inference Server URL\n", - "inference_server_url = \"http://llm.ic-shared-llm.svc.cluster.local:8000\"\n", - "\n", - "# LLM definition\n", - "llm = VLLMOpenAI( # we are using the vLLM OpenAI-compatible API client. But the Model is running on OpenShift, not OpenAI.\n", - " openai_api_key=\"EMPTY\", # and that is why we don't need an OpenAI key for this.\n", - " openai_api_base= f\"{inference_server_url}/v1\",\n", - " model_name=\"mistralai/Mistral-7B-Instruct-v0.2\",\n", - " top_p=0.92,\n", - " temperature=0.01,\n", - " max_tokens=512,\n", - " presence_penalty=1.03,\n", - " streaming=True,\n", - " callbacks=[StreamingStdOutCallbackHandler()]\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "4fa13907-14f1-4995-9756-8778c19a2101", - "metadata": {}, - "source": [ - "Then the connection to the **vector database** where we have prepared and stored the California Driver Handbook." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f849c1a0-7fe5-425f-853d-6a9e67a38971", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# First we define the embeddings that we used to process the Handbook\n", - "model_kwargs = {\"trust_remote_code\": True}\n", - "embeddings = HuggingFaceEmbeddings(\n", - " model_name=\"nomic-ai/nomic-embed-text-v1\",\n", - " model_kwargs=model_kwargs,\n", - " show_progress=False,\n", - " )\n", - "\n", - "# Then we define the retriever that will fetch the relevant data from the Milvus vector store\n", - "retriever = MilvusRetrieverWithScoreThreshold(\n", - " embedding_function=embeddings,\n", - " collection_name=\"california_driver_handbook_1_0\",\n", - " collection_description=\"\",\n", - " collection_properties=None,\n", - " connection_args={\n", - " \"host\": \"vectordb-milvus.ic-shared-milvus.svc.cluster.local\",\n", - " \"port\": \"19530\",\n", - " \"user\": \"root\",\n", - " \"password\": \"Milvus\",\n", - " },\n", - " consistency_level=\"Session\",\n", - " search_params=None,\n", - " k=4,\n", - " score_threshold=0.99,\n", - " metadata_field=\"metadata\",\n", - " text_field=\"page_content\",\n", - " )" - ] - }, - { - "cell_type": "markdown", - "id": "20b950bc-4d73-49e5-a35b-083a784edd50", - "metadata": {}, - "source": [ - "We will now define the **template** to use to make our query. Note that this template now contains a **References** section. That's were the documents returned from the vector database will be injected." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f8bb7517-faa2-43ed-a95d-835de975f916", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "template=\"\"\"[INST]\n", - "You are a helpful, respectful and honest assistant named \"Parasol Assistant\".\n", - "You will be given a claim summary, references to provide you with information, and a question.\n", - "You must answer the question based as much as possible on this claim with the help of the references.\n", - "Always answer as helpfully as possible, while being safe.\n", - "Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content.\n", - "Please ensure that your responses are socially unbiased and positive in nature.\n", - "\n", - "If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct.\n", - "If you don't know the answer to a question, please don't share false information.\n", - "<>\n", - "\n", - "Claim Summary:\n", - "{claim}\n", - "\n", - "References:\n", - "{{context}}\n", - "\n", - "Question: {{question}} [/INST]\n", - "\"\"\"" - ] - }, - { - "cell_type": "markdown", - "id": "849fbd67-220c-4a02-8e4e-7e0d1aa91588", - "metadata": {}, - "source": [ - "We are now ready to query the model!\n", - "\n", - "In the `claims` folder we have JSON files with examples of claims that could be received. We are going to read the first claim and ask a question related to it." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ca714bca-7cec-4afc-b275-fa389c05a993", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Read the claim and put its content in the \"claim\" variable\n", - "\n", - "filename = 'claims/claim1.json'\n", - "\n", - "# Opening JSON file\n", - "with open(filename, 'r') as file:\n", - " data = json.load(file)\n", - "claim = data[\"content\"]" - ] - }, - { - "cell_type": "markdown", - "id": "6c4cde40-3571-4e3c-9b05-78389765c98f", - "metadata": {}, - "source": [ - "### First test, no additional knowledge\n", - "\n", - "Let's start with a first query about the claim, but without help from our vector database." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3ac398b4-d555-45e5-aab9-d9b319f07108", - "metadata": {}, - "outputs": [], - "source": [ - "# Create and send our query.\n", - "\n", - "query = \"Was Daniel allowed to pass at the red light?\"\n", - "\n", - "# Quick hack to reuse the same template with a different type of query.\n", - "prompt_template = template.format(claim=claim).format(context=\"\", question=query)\n", - "prompt = PromptTemplate.from_template(prompt_template)\n", - "conversation = LLMChain(\n", - " llm=llm,\n", - " prompt=prompt,\n", - " verbose=False\n", - " )\n", - "resp = conversation.predict(input=\"\")" - ] - }, - { - "cell_type": "markdown", - "id": "2a0f714d-c6e7-4220-a16b-fc65dbae91fb", - "metadata": {}, - "source": [ - "We can see that the answer is valid. Here the model is using its general understanding of traffic regulation." - ] - }, - { - "cell_type": "markdown", - "id": "4f4e9a93-9b81-424a-96a9-f447e417c8c1", - "metadata": {}, - "source": [ - "### Second test, with added knowledge\n", - "\n", - "We will use the same prompt and query, but this time the model will have access to some references from the California's Driver Handbook." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dac009d5-d558-4258-9735-4fb0de46c309", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Create and send our query.\n", - "\n", - "query = \"Was Daniel allowed to pass at the red light?\"\n", - "\n", - "prompt_template = template.format(claim=claim)\n", - "prompt = PromptTemplate.from_template(prompt_template)\n", - "rag_chain = RetrievalQA.from_chain_type(\n", - " llm,\n", - " retriever=retriever,\n", - " chain_type_kwargs={\"prompt\": prompt},\n", - " return_source_documents=True,\n", - " )\n", - "resp = rag_chain.invoke({\"query\": query})" - ] - }, - { - "cell_type": "markdown", - "id": "8c5659f0-a27f-4b9e-8dd1-e05f37671c8f", - "metadata": {}, - "source": [ - "That is pretty neat! Now the model refers directly to a source stating that **a red traffic signal light means \"STOP.\"**.\n", - "\n", - "But where did we get this information from? We can look into the sources associated with the answers from the vector database." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6e424c52-9a1a-4425-a105-4e0744ec0da6", - "metadata": {}, - "outputs": [], - "source": [ - "def format_sources(input_list):\n", - " sources = \"\"\n", - " if len(input_list) != 0:\n", - " sources += input_list[0].metadata[\"source\"] + ', page: ' + str(input_list[0].metadata[\"page\"])\n", - " page_list = [input_list[0].metadata[\"page\"]]\n", - " for item in input_list:\n", - " if item.metadata[\"page\"] not in page_list: # Avoid duplicates\n", - " page_list.append(item.metadata[\"page\"])\n", - " sources += ', ' + str(item.metadata[\"page\"])\n", - " return sources\n", - "\n", - "results = format_sources(resp['source_documents'])\n", - "\n", - "print(results)" - ] - }, - { - "cell_type": "markdown", - "id": "daf8cd32-0bdb-484d-a8bd-fb108ce2f131", - "metadata": {}, - "source": [ - "That's it! We now know how to complement our LLM with some external knowledge!" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.11", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.7" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/lab-materials/03/06/Dockerfile b/lab-materials/03/06/Dockerfile deleted file mode 100644 index 1072bf2c..00000000 --- a/lab-materials/03/06/Dockerfile +++ /dev/null @@ -1,4 +0,0 @@ -FROM quay.io/modh/runtime-images@sha256:8b962c575adfdb46a9aa3e3fc30fdbe470d049b0ff69f68c5c9f950496ae26c5 - -COPY requirements.txt ./ -RUN pip install -r requirements.txt \ No newline at end of file diff --git a/lab-materials/03/06/README.md b/lab-materials/03/06/README.md deleted file mode 100644 index 188c65ca..00000000 --- a/lab-materials/03/06/README.md +++ /dev/null @@ -1,3 +0,0 @@ -# 04 - -Instructions for how to run the confidence pipeline... \ No newline at end of file diff --git a/lab-materials/03/06/confidence-check.pipeline b/lab-materials/03/06/confidence-check.pipeline deleted file mode 100644 index 17135701..00000000 --- a/lab-materials/03/06/confidence-check.pipeline +++ /dev/null @@ -1,292 +0,0 @@ -{ - "doc_type": "pipeline", - "version": "3.0", - "json_schema": "http://api.dataplatform.ibm.com/schemas/common-pipeline/pipeline-flow/pipeline-flow-v3-schema.json", - "id": "elyra-auto-generated-pipeline", - "primary_pipeline": "primary", - "pipelines": [ - { - "id": "primary", - "nodes": [ - { - "id": "d0510f0c-fc50-42fc-a598-97e26b34ed88", - "type": "execution_node", - "op": "execute-python-node", - "app_data": { - "component_parameters": { - "dependencies": [ - "llm_usage.py", - "summary_template.txt", - "example_text.txt" - ], - "include_subdirectories": false, - "outputs": [ - "quality_result.json" - ], - "env_vars": [], - "kubernetes_pod_annotations": [], - 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annotations: - elyra/node-file-name: parasol-insurance/lab-materials/03/06/test_responsetime.py - elyra/pipeline-source: confidence-check.pipeline - pipelines.kubeflow.org/task_display_name: test_responsetime - pipelines.kubeflow.org/component_spec_digest: '{"name": "Run a file", - "outputs": [], "version": "Run a file@sha256=fbcb6cccb2393e957b4b042a22dffff6d92d28a73efb5775c07bb82b7973cdf3"}' - - name: run-a-file-3 - taskSpec: - steps: - - name: main - args: - - | - sh -c "mkdir -p ./jupyter-work-dir && cd ./jupyter-work-dir" - sh -c "echo 'Downloading file:///opt/app-root/bin/utils/bootstrapper.py' && curl --fail -H 'Cache-Control: no-cache' -L file:///opt/app-root/bin/utils/bootstrapper.py --output bootstrapper.py" - sh -c "echo 'Downloading file:///opt/app-root/bin/utils/requirements-elyra.txt' && curl --fail -H 'Cache-Control: no-cache' -L file:///opt/app-root/bin/utils/requirements-elyra.txt --output requirements-elyra.txt" - sh -c "python3 -m pip install packaging && python3 -m pip freeze > requirements-current.txt && python3 bootstrapper.py --pipeline-name 'confidence-check' --cos-endpoint 'http://minio.ic-shared-minio.svc:9000' --cos-bucket 'pipeline-bucket' --cos-directory 'confidence-check-0109084010' --cos-dependencies-archive 'test_security-6b595dc7-afb8-46bb-bf52-7cd695ddafb8.tar.gz' --file 'parasol-insurance/lab-materials/03/06/test_security.py' --outputs 'security_result.json' " - command: - - sh - - -c - env: - - name: AWS_ACCESS_KEY_ID - valueFrom: - secretKeyRef: - key: AWS_ACCESS_KEY_ID - name: aws-connection-shared-minio---pipelines - - name: AWS_SECRET_ACCESS_KEY - valueFrom: - secretKeyRef: - key: AWS_SECRET_ACCESS_KEY - name: aws-connection-shared-minio---pipelines - - name: ELYRA_RUNTIME_ENV - value: kfp - - name: ELYRA_ENABLE_PIPELINE_INFO - value: "True" - - name: ELYRA_WRITABLE_CONTAINER_DIR - value: /tmp - - name: ELYRA_RUN_NAME - valueFrom: - fieldRef: - fieldPath: metadata.annotations['pipelines.kubeflow.org/run_name'] - image: quay.io/rh-aiservices-bu/rhoai-lab-insurance-claim-confidence-pipeline:1.1 - stepTemplate: - volumeMounts: - - name: mlpipeline-metrics - mountPath: /tmp - volumes: - - name: mlpipeline-metrics - emptyDir: {} - metadata: - labels: - elyra/node-type: notebook-script - elyra/pipeline-name: confidence-check - elyra/pipeline-version: '' - elyra/experiment-name: '' - elyra/node-name: test_security - pipelines.kubeflow.org/cache_enabled: "true" - annotations: - elyra/node-file-name: parasol-insurance/lab-materials/03/06/test_security.py - elyra/pipeline-source: confidence-check.pipeline - pipelines.kubeflow.org/task_display_name: test_security - pipelines.kubeflow.org/component_spec_digest: '{"name": "Run a file", - "outputs": [], "version": "Run a file@sha256=911e07386ce6fbae48167dee9e6eb42f31497bc01b0ef69e3d3b40b4d203a6d0"}' - - name: run-a-file-4 - taskSpec: - steps: - - name: main - args: - - | - sh -c "mkdir -p ./jupyter-work-dir && cd ./jupyter-work-dir" - sh -c "echo 'Downloading file:///opt/app-root/bin/utils/bootstrapper.py' && curl --fail -H 'Cache-Control: no-cache' -L file:///opt/app-root/bin/utils/bootstrapper.py --output bootstrapper.py" - sh -c "echo 'Downloading file:///opt/app-root/bin/utils/requirements-elyra.txt' && curl --fail -H 'Cache-Control: no-cache' -L file:///opt/app-root/bin/utils/requirements-elyra.txt --output requirements-elyra.txt" - sh -c "python3 -m pip install packaging && python3 -m pip freeze > requirements-current.txt && python3 bootstrapper.py --pipeline-name 'confidence-check' --cos-endpoint 'http://minio.ic-shared-minio.svc:9000' --cos-bucket 'pipeline-bucket' --cos-directory 'confidence-check-0109084010' --cos-dependencies-archive 'summarize_results-6b99ceae-d124-4758-904a-03e1a49fe56d.tar.gz' --file 'parasol-insurance/lab-materials/03/06/summarize_results.py' --inputs 'responsetime_result.json;security_result.json;quality_result.json' --outputs 'results.json' " - command: - - sh - - -c - env: - - name: AWS_ACCESS_KEY_ID - valueFrom: - secretKeyRef: - key: AWS_ACCESS_KEY_ID - name: aws-connection-shared-minio---pipelines - - name: AWS_SECRET_ACCESS_KEY - valueFrom: - secretKeyRef: - key: AWS_SECRET_ACCESS_KEY - name: aws-connection-shared-minio---pipelines - - name: ELYRA_RUNTIME_ENV - value: kfp - - name: ELYRA_ENABLE_PIPELINE_INFO - value: "True" - - name: ELYRA_WRITABLE_CONTAINER_DIR - value: /tmp - - name: ELYRA_RUN_NAME - valueFrom: - fieldRef: - fieldPath: metadata.annotations['pipelines.kubeflow.org/run_name'] - image: quay.io/rh-aiservices-bu/rhoai-lab-insurance-claim-confidence-pipeline:1.1 - stepTemplate: - volumeMounts: - - name: mlpipeline-metrics - mountPath: /tmp - volumes: - - name: mlpipeline-metrics - emptyDir: {} - metadata: - labels: - elyra/node-type: notebook-script - elyra/pipeline-name: confidence-check - elyra/pipeline-version: '' - elyra/experiment-name: '' - elyra/node-name: summarize_results - pipelines.kubeflow.org/cache_enabled: "true" - annotations: - elyra/node-file-name: parasol-insurance/lab-materials/03/06/summarize_results.py - elyra/pipeline-source: confidence-check.pipeline - pipelines.kubeflow.org/task_display_name: summarize_results - pipelines.kubeflow.org/component_spec_digest: '{"name": "Run a file", - "outputs": [], "version": "Run a file@sha256=710a8e5ea145ddcf52ee1df00cbb79bc030fb9b139970cea9676a461974dcd0e"}' - runAfter: - - run-a-file - - run-a-file-2 - - run-a-file-3 diff --git a/lab-materials/03/06/example_text.txt b/lab-materials/03/06/example_text.txt deleted file mode 100644 index 276b6d45..00000000 --- a/lab-materials/03/06/example_text.txt +++ /dev/null @@ -1,43 +0,0 @@ -Subject: Claim for Recent Car Accident - Policy Number: ABC12345 - -Dear XYZ Insurance Company, - -I hope this email finds you well. I am writing to report a recent car accident in which I was involved, and I would like to initiate a claim under my policy with your company. My policy number is ABC12345, and my name is John Smith. - -Accident Details: - -Date and Time: The accident occurred on October 15, 2023, at approximately 2:30 PM. - -Location: The accident took place at the intersection of Elm Street and Maple Avenue, near Smith Park, in Springfield, Illinois. The exact coordinates are 39.7476° N, 89.6960° W. - -Circumstances: - -1. Weather Conditions: On the day of the accident, the weather was overcast with light rain. The road was wet. - -2. Traffic Conditions: Traffic was moderate at the time, with vehicles traveling in all directions. I was driving at the posted speed limit of 35 mph. - -3. Vehicle Involved: I was driving my Honda Accord at the time of the accident. The other party involved was driving a Ford Escape. - -4. Sequence of Events: While I was proceeding through the intersection with a green light, the other vehicle, which was coming from the north, ran a red light and collided with the front passenger side of my vehicle. I had no time to react to avoid the collision. - -5. Injuries: Thankfully, there were no serious injuries, but both vehicles sustained significant damage. The police were called to the scene, and a report was filed. The officer's badge number is 12345, and I can provide a copy of the accident report upon request. - -6. Witness Information: There were a few witnesses to the accident, and I have their contact information. Their names are Sarah Johnson, Mark Williams, and Lisa Anderson. - -7. Photos: I have taken several photos of the accident scene, including the damage to both vehicles, the traffic signals, and road conditions. I can provide these photos to assist with the claim. - -8. Other Party's Information: The driver of the other vehicle provided me with their insurance information and contact details, which I can share with you. - -Claim Request: - -I would like to request that you initiate a claim under my policy for the damages to my vehicle. I would appreciate it if you could provide me with the next steps and the claim process. Please let me know what documentation or information you require from me to process this claim efficiently. - -I understand that accidents happen, and I trust in your company's ability to assist me during this challenging time. Your prompt attention to this matter is greatly appreciated. - -Please contact me at (555) 123-4567 or john.smith@email.com to discuss this further or to request any additional information you may need. - -Thank you for your assistance in this matter, and I look forward to your prompt response. - -Sincerely, - -John Smith \ No newline at end of file diff --git a/lab-materials/03/06/llm_usage.py b/lab-materials/03/06/llm_usage.py deleted file mode 100644 index 212ffb8e..00000000 --- a/lab-materials/03/06/llm_usage.py +++ /dev/null @@ -1,46 +0,0 @@ -from langchain.llms import VLLMOpenAI -from langchain.chains.combine_documents.stuff import StuffDocumentsChain -from langchain.chains import LLMChain -from langchain.prompts import PromptTemplate -from langchain.evaluation import load_evaluator -from langchain.embeddings import HuggingFaceEmbeddings - -INFERENCE_SERVER_URL = "http://llm.ic-shared-llm.svc.cluster.local:8000" -MAX_NEW_TOKENS = 512 -TOP_P = 0.95 -TEMPERATURE = 0.01 -PRESENCE_PENALTY = 1.03 - -def infer_with_template(input_text, template): - llm = VLLMOpenAI( - openai_api_key="EMPTY", - openai_api_base= f"{INFERENCE_SERVER_URL}/v1", - model_name="mistralai/Mistral-7B-Instruct-v0.2", - max_tokens=MAX_NEW_TOKENS, - top_p=TOP_P, - temperature=TEMPERATURE, - presence_penalty=PRESENCE_PENALTY, - streaming=False, - verbose=False, - ) - - PROMPT = PromptTemplate.from_template(template) - - llm_chain = LLMChain(llm=llm, prompt=PROMPT) - - return llm_chain.run(input_text) - -def similarity_metric(predicted_text, reference_text): - embedding_model = HuggingFaceEmbeddings() - evaluator = load_evaluator("embedding_distance", embeddings=embedding_model) - distance_score = evaluator.evaluate_strings(prediction=predicted_text, reference=reference_text) - return 1-distance_score["score"] - -if __name__ == '__main__': - with open('example_text.txt') as f: - input_text = f.read() - - with open('template.txt') as f: - template = f.read() - - infer_with_template(input_text, template) \ No newline at end of file diff --git a/lab-materials/03/06/requirements.txt b/lab-materials/03/06/requirements.txt deleted file mode 100644 index 1fa8000c..00000000 --- a/lab-materials/03/06/requirements.txt +++ /dev/null @@ -1,4 +0,0 @@ -langchain==0.0.340 -text_generation==0.6.1 -sentence_transformers==2.2.2 -openai==1.13.3 \ No newline at end of file diff --git a/lab-materials/03/06/summarize_results.py b/lab-materials/03/06/summarize_results.py deleted file mode 100644 index 0b4fa302..00000000 --- a/lab-materials/03/06/summarize_results.py +++ /dev/null @@ -1,16 +0,0 @@ -import json - -def summarize_results(): - results = {} - with open('responsetime_result.json') as f1, open("security_result.json") as f2, open("quality_result.json") as f3: - results.update(json.load(f1)) - results.update(json.load(f2)) - results.update(json.load(f3)) - - print(results) - - with open("results.json", "w") as f: - json.dump(results, f) - -if __name__ == '__main__': - summarize_results() \ No newline at end of file diff --git a/lab-materials/03/06/summary_template.txt b/lab-materials/03/06/summary_template.txt deleted file mode 100644 index f47252fe..00000000 --- a/lab-materials/03/06/summary_template.txt +++ /dev/null @@ -1,5 +0,0 @@ -[INST] <> -Summarize the below car insurance claim: -<> -{car_claim} -[/INST] \ No newline at end of file diff --git a/lab-materials/03/06/test_response_quality.py b/lab-materials/03/06/test_response_quality.py deleted file mode 100644 index 28a115b9..00000000 --- a/lab-materials/03/06/test_response_quality.py +++ /dev/null @@ -1,32 +0,0 @@ -from llm_usage import infer_with_template, similarity_metric -import json - - -def test_response_quality(): - with open('example_text.txt') as f: - input_text = f.read() - - with open('summary_template.txt') as f: - template = f.read() - - expected_response = """On October 15, 2023, at around 2:30 PM, John Smith was involved in a car accident at the intersection of Elm Street and Maple Avenue in Springfield, Illinois (coordinates: 39.7476° N, 89.6960° W). He was driving his Honda Accord with a green light when a Ford Escape, which ran a red light, collided with the front passenger side of his vehicle. The accident occurred in overcast weather with light rain, and the road was wet. No serious injuries were reported, but both vehicles sustained significant damage. A police report was filed, and the officer's badge number is 12345. Witnesses to the accident include Sarah Johnson, Mark Williams, and Lisa Anderson, and their contact information has been provided. Photos of the accident scene, including the damage to both vehicles, traffic signals, and road conditions, have also been taken. John is requesting that a claim be initiated under his policy (ABC12345) for the damages to his vehicle and is asking for guidance on the claim process and required documentation.""" - - response = infer_with_template(input_text, template) - print(f"Response: {response}") - - similarity = similarity_metric(response, expected_response) - print(similarity) - - if similarity <= 0.8: - raise Exception("Output is not similar enough to expected output") - - print("Response Quality OK") - - with open("quality_result.json", "w") as f: - json.dump({ - "quality_test_response": response, - "quality_test_similarity": similarity - }, f) - -if __name__ == '__main__': - test_response_quality() \ No newline at end of file diff --git a/lab-materials/03/06/test_responsetime.py b/lab-materials/03/06/test_responsetime.py deleted file mode 100644 index 4e01c69d..00000000 --- a/lab-materials/03/06/test_responsetime.py +++ /dev/null @@ -1,34 +0,0 @@ -from llm_usage import infer_with_template -import requests -import json -import time - -max_response_time = 3 - -def send_request(endpoint): - response = requests.get(endpoint) - return response - -def test_responsetime(): - TEMPLATE = """[INST] <> -Answer below truthfully and in less than 10 words: -<> -{silly_question} -[/INST]""" - - start = time.perf_counter() - response = infer_with_template("Who saw a saw saw a salsa?", TEMPLATE) - response_time = time.perf_counter() - start - - if response_time>max_response_time: - raise Exception(f"Response took {response_time} which is greater than {max_response_time}") - - print(f"Response time was OK at {response_time} seconds") - - with open("responsetime_result.json", "w") as f: - json.dump({ - "response_time": response_time - }, f) - -if __name__ == '__main__': - test_responsetime() \ No newline at end of file diff --git a/lab-materials/03/06/test_security.py b/lab-materials/03/06/test_security.py deleted file mode 100644 index ecbc30cf..00000000 --- a/lab-materials/03/06/test_security.py +++ /dev/null @@ -1,26 +0,0 @@ -import os -import requests -import json - -def test_security(endpoint, expected_id,): - response = requests.get(endpoint) - - if response.status_code==200: - response_json = response.json() - else: - raise Exception(f"Response status code is {response.status_code}") - - if expected_id not in response_json["data"][0]["permission"][0]["id"]: - raise Exception(f"Model ID has changed, model may have been tampered with") - - print(f"Security check OK") - - with open("security_result.json", "w") as f: - json.dump({ - "model_id_match": expected_id in response_json["data"][0]["permission"][0]["id"], - }, f) - -if __name__ == '__main__': - info_endpoint = "http://llm.ic-shared-llm.svc.cluster.local:8000" + "/v1/models" - expected_id = "modelperm" #This is just for the demo, in a real scenario you would input the model id here - test_security(info_endpoint, expected_id) \ No newline at end of file diff --git a/lab-materials/03/claims/claim1.json b/lab-materials/03/claims/claim1.json deleted file mode 100644 index 7a111686..00000000 --- a/lab-materials/03/claims/claim1.json +++ /dev/null @@ -1,5 +0,0 @@ -{ - "claim-number": 1, - "subject": "Claim for Recent Car Accident - Policy Number: AC-987654321", - "content": "Dear Parasol Insurance,\n\nI hope this email finds you well. My name is Sarah Turner, and I am writing to file a claim for a recent car accident that occurred on January 2nd, 2024, at approximately 3:30 PM. My policy number is AC-987654321.\n\nThe accident took place at the intersection of Birch Street and Willow Avenue in the city of Evergreen. I was driving my vehicle, a black Toyota Camry with license plate number DEF-456, heading south on Birch Street. At the intersection, the traffic signal was green, and I proceeded through the intersection.\n\nAt the same time, another vehicle, a blue Chevrolet Traverse with license plate number GHI-789, was traveling west on Willow Avenue. Unfortunately, the driver failed to stop at the red traffic signal, resulting in a collision with the front passenger side of my vehicle.\n\nThe impact caused significant damage to both vehicles. The front bumper and right headlight of my Toyota Camry are extensively damaged, and there are also damages to the front driver's side of the Chevrolet Traverse. Fortunately, no injuries were sustained during the accident, and both drivers were able to move their vehicles to the side of the road.\n\nI promptly exchanged information with the other driver, Mr. Daniel Reynolds, including our names, phone numbers, insurance details, and a brief description of the accident. Additionally, I took photos of the accident scene, including the damages to both vehicles and the position of the traffic signal.\n\nI have attached the necessary documents to this email, including the photos, a copy of the police report filed at the Evergreen Police Department, and the estimate for the repair costs from Evergreen Auto Repair, where I have taken my vehicle for assessment.\n\nI kindly request your prompt attention to this matter and would appreciate any guidance on the next steps in the claims process. If you require any additional information or documentation, please do not hesitate to contact me at (555) 123-4567 or sarah.turner@email.com.\n\nThank you for your assistance, and I look forward to a swift resolution of this claim.\n\nSincerely,\n\nSarah Turner\n123 Oak Street\nEvergreen, CA 98765\n(555) 123-4567\nsarah.turner@email.com" -} diff --git a/lab-materials/03/claims/claim2.json b/lab-materials/03/claims/claim2.json deleted file mode 100644 index 12585da8..00000000 --- a/lab-materials/03/claims/claim2.json +++ /dev/null @@ -1,5 +0,0 @@ -{ - "claim-number": 2, - "subject": "Urgent: Unacceptable Delay and Lack of Communication Regarding Claim #XYZ789", - "content": "Dear Prestige Insurances,\n\nI am writing to express my extreme dissatisfaction with the appalling service I have received concerning my recent claim, reference number #XYZ789. The lack of communication and delayed response from your company is utterly unacceptable, and I demand immediate attention to rectify this matter.\n\nThe accident occurred on January 15, 2024, at approximately 3:45 PM, near the intersection of Maple Street and Oak Avenue in Rivertown. My vehicle, a Silver Hawk GT, was struck by another driver, identified as Samantha Reynolds, who ran a red light at the aforementioned intersection. This incident resulted in substantial damage to the front end of my car, including severe structural damage and airbag deployment.\n\nI reported the claim immediately after the accident, providing all necessary details, witness information, and a detailed description of the events leading up to the collision. However, the response—or lack thereof—from your company has been absolutely deplorable. I have yet to receive any updates on the status of my claim, and my attempts to contact your claims department have been met with prolonged hold times and unhelpful representatives.\n\nI insist on a thorough investigation into this matter and demand an explanation for the unreasonable delay. It is my right as a policyholder to receive timely updates on the progress of my claim and to be treated with the respect and urgency that this situation demands.\n\nFurthermore, the lack of transparency and communication from your company is not only unprofessional but also exacerbates the stress and inconvenience caused by the accident itself. I expect immediate action to be taken to expedite the processing of my claim and provide me with the information I am entitled to as a paying customer.\n\nI am appalled at the disregard for customer satisfaction and the apparent negligence displayed by your company in handling my claim. If my concerns are not addressed promptly and to my satisfaction, I will have no choice but to escalate this matter to the appropriate regulatory authorities and consider legal action.\n\nI demand a comprehensive update on the status of my claim within the next 48 hours. Failing to meet this deadline will only reinforce my belief that your company values its bottom line over the well-being of its customers.\n\nI trust that you will treat this matter with the urgency and seriousness it deserves.\n\nSincerely,\n\nJohn T. Anderson\nPolicy Number: PT567890" -} diff --git a/lab-materials/03/claims/claim3.json b/lab-materials/03/claims/claim3.json deleted file mode 100644 index 2bfd49c7..00000000 --- a/lab-materials/03/claims/claim3.json +++ /dev/null @@ -1,5 +0,0 @@ -{ - "claim-number": 3, - "subject": "Urgent: Car Accident Claim Assistance Needed", - "content": "Dear Parasol Insurance,\n\nI hope this email finds you well. I'm writing to, uh, inform you about, well, something that happened recently. It's, um, about a car accident, and I'm not really sure how to, you know, go about all this. I'm kinda anxious and confused, to be honest.\n\nSo, the accident, uh, occurred on January 15, 2024, at around 3:30 PM. I was driving, or, um, attempting to drive, my car at the intersection of Maple Street and Elm Avenue. It's kinda close to, um, a gas station and a, uh, coffee shop called Brew Haven? I'm not sure if that matters, but, yeah.\n\nSo, I was just, you know, driving along, and suddenly, out of nowhere, another car, a Blue Crest Sedan, crashed into the, uh, driver's side of my car. It was like, whoa, what just happened, you know? There was this screeching noise and, uh, some honking from other cars, and I just felt really, uh, overwhelmed.\n\nThe weather was, um, kinda cloudy that day, but I don't think it was raining. I mean, I can't really remember. Sorry if that's important. Anyway, the road, or, well, maybe the intersection, was kinda busy, with cars going in different directions. I guess that's, you know, a detail you might need?\n\nAs for damages, my car has, uh, significant damage on the driver's side. The front door is all dented, and the side mirror is, like, hanging by a thread. It's not really drivable in its current, uh, state. The Blue Crest Sedan also had some damage, but I'm not exactly sure what because, you know, everything happened so fast.\n\nI did manage to exchange information with the other driver. Their name is Sarah Johnson, and I got their phone number (555-1234), license plate number (ABC123), and insurance information. So, yeah, I hope that's helpful.\n\nI'm not sure what, um, steps I should take now. Do I need to go to a specific, uh, repair shop? Should I get a quote for the repairs? And, uh, how do I, you know, proceed with the insurance claim? I'm kinda lost here, and any guidance or assistance you can provide would be really, um, appreciated.\n\nSorry if this email is a bit all over the place. I'm just really, uh, anxious about the whole situation. Thank you for your understanding.\n\nSincerely,\n\nJane Doe\nPolicy Number: AC987654" -} diff --git a/lab-materials/03/milvus_retriever_with_score_threshold.py b/lab-materials/03/milvus_retriever_with_score_threshold.py deleted file mode 100644 index ec43f421..00000000 --- a/lab-materials/03/milvus_retriever_with_score_threshold.py +++ /dev/null @@ -1,72 +0,0 @@ -"""Milvus Retriever with Score Threshold""" -import warnings -from typing import Any, Dict, List, Optional - -from langchain_core.callbacks import CallbackManagerForRetrieverRun -from langchain_core.documents import Document -from langchain_core.embeddings import Embeddings -from langchain_core.pydantic_v1 import root_validator -from langchain_community.vectorstores import Milvus -from langchain_core.retrievers import BaseRetriever - -from langchain_community.vectorstores.milvus import Milvus - -class MilvusRetrieverWithScoreThreshold(BaseRetriever): - """`Milvus API` retriever.""" - - embedding_function: Embeddings - collection_name: str = "LangChainCollection" - collection_description: str = "" - collection_properties: Optional[Dict[str, Any]] = None - connection_args: Optional[Dict[str, Any]] = None - consistency_level: str = "Session" - search_params: Optional[dict] = None - k: int = 4 - score_threshold: float = 0.99 - metadata_field: str = "metadata" - text_field: str = "page_content" - - store: Milvus - retriever: BaseRetriever - - @root_validator(pre=True) - def create_retriever(cls, values: Dict) -> Dict: - """Create the Milvus store and retriever.""" - values["store"] = Milvus( - embedding_function=values["embedding_function"], - collection_name=values["collection_name"], - collection_description=values["collection_description"], - collection_properties=values["collection_properties"], - connection_args=values["connection_args"], - consistency_level=values["consistency_level"], - metadata_field="metadata", - text_field="page_content" - ) - values["retriever"] = values["store"].as_retriever( - search_kwargs={"param": values["search_params"]} - ) - return values - - def add_texts( - self, texts: List[str], metadatas: Optional[List[dict]] = None - ) -> None: - """Add text to the Milvus store - - Args: - texts (List[str]): The text - metadatas (List[dict]): Metadata dicts, must line up with existing store - """ - self.store.add_texts(texts, metadatas) - - def _get_relevant_documents( - self, - query: str, - *, - run_manager: CallbackManagerForRetrieverRun, - **kwargs: Any, - ) -> List[Document]: - docs_and_scores = self.store.similarity_search_with_score(query, k=self.k, return_metadata=True) - docs_and_scores = [(doc, score) for doc, score in docs_and_scores if score < self.score_threshold] - for doc, score in docs_and_scores: - doc.metadata = {**doc.metadata, **{"score": score}} - return [doc for (doc, _) in docs_and_scores] diff --git a/lab-materials/03/optional_claims/claim4.json b/lab-materials/03/optional_claims/claim4.json deleted file mode 100644 index e5ebb626..00000000 --- a/lab-materials/03/optional_claims/claim4.json +++ /dev/null @@ -1,5 +0,0 @@ -{ - "claim-number": 4, - "subject": "Claim for Car Accident - Policy #: BK-5165426", - "content": "Dear Parasol Insurance Team,\n\nI hope this email finds you well. I'm reaching out to file a claim regarding a recent incident involving my car, which is covered under my policy with Parasol. The accident occurred last night on the streets of Los Angeles, and I wanted to provide you with all the necessary details.\n\nLocation: The accident took place at the intersection of Sunset Boulevard and Vine Street in downtown Los Angeles. It was one of those crazy nights, where the streets were alive with the sound of engines and the glow of neon lights.\n\nCircumstances: So, here's the deal. I was out cruising with the crew, enjoying the vibe of the city, when suddenly we found ourselves in the middle of a high-speed chase. There was this dude, let's call him Johnny Tran for the sake of this email, who thought he could outmaneuver us. Little did he know, we don't play by the rules.\n\nAnyway, Johnny pulled some slick moves, cutting through traffic like a bat outta hell. Naturally, being the king of the streets that I am, I had to show him what real speed looks like. So, I hit the nitrous and went full throttle.\n\nBut then, outta nowhere, this semi-truck decided to make a left turn without signaling. I had to make a split-second decision, and I ended up launching my car off a ramp, trying to clear the truck like we're in one of those crazy action flicks. It was like something straight outta the movies, I tell ya.\n\nLong story short, the stunt didn't exactly go as planned. My car ended up crashing into a billboard, flipping over a couple of times before finally coming to a stop. Yeah, it was a total wreck. But hey, at least we walked away without a scratch, just a little shaken, not stirred, if you catch my drift.\n\nDamage: As for the damage to my car, let's just say it's gonna need more than a few wrenches and some duct tape to fix this baby up. The front end is smashed in, the windows are shattered, and I'm pretty sure the chassis is twisted beyond recognition. It's gonna take a miracle to get her back on the road.\n\nI understand that accidents happen, but I'm counting on Parasol to have my back in times like these. I've been a loyal customer for years, and I trust that you'll handle my claim with the same speed and precision that I handle my rides.\n\nPlease let me know what steps I need to take to get the ball rolling on this claim. I'm ready to do whatever it takes to get my car back in top shape and back on the streets where it belongs.\n\nLooking forward to hearing from you soon.\n\nSincerely,\n Dominic Toretto" -} \ No newline at end of file diff --git a/lab-materials/03/optional_claims/claim5.json b/lab-materials/03/optional_claims/claim5.json deleted file mode 100644 index ad7f2a50..00000000 --- a/lab-materials/03/optional_claims/claim5.json +++ /dev/null @@ -1,5 +0,0 @@ -{ - "claim-number": 5, - "subject": "Where is My Money? Urgent Attention Needed for My Car Accident Claim", - "content": "Dear Parasol Insurance,\n\nI am absolutely *thrilled* (read: infuriated) to be writing yet another heartfelt missive to the void that is your customer service. My recent car accident claim has vanished into the ether, much like my patience and the professionalism I expected from your company. How about we resolve this before the next ice age?\n\nLet's recap the blockbuster event:\nOn March 28, 2023, at around 4:15 PM, at the intersection of 5th Avenue and Main St in Springfield, my car was passionately sideswiped by another vehicle. Why? Because the other driver blasted through a red light and T-boned my car's passenger side. It was a harrowing scene, made worse by your glacial pace of response.\n\nIt's been over two weeks, and your commitment to delay is almost impressive. I demand a comprehensive review and prompt update on my claim within the next 24 hours. This isn't just a request—it's a necessity driven by sheer frustration and the urgent need for resolution.\n\nPlease treat this matter with the urgency it clearly deserves. I expect a detailed plan of action and a swift response, or be assured, further actions including legal recourse will be considered.\n\nLooking forward to an expedited resolution,\nSaul Goodman\n\nCC: My 17 Twitter Followers\n\nAttach: Police Report No. 12345, Photos of the Incident, Documented Calls and Emails" -} \ No newline at end of file diff --git a/lab-materials/03/optional_claims/claim6.json b/lab-materials/03/optional_claims/claim6.json deleted file mode 100644 index ae37e895..00000000 --- a/lab-materials/03/optional_claims/claim6.json +++ /dev/null @@ -1,5 +0,0 @@ -{ - "claim-number": 6, - "subject": "Urgent Claim Review Required: Collision in King's Landing", - "content": "Dear Parasol Insurance,\nThis correspondence is from Tyrion Lannister, currently not in a tavern but rather dealing with the aftermath of an unpleasant vehicular incident. As a man known for resolving conflicts, I find myself ironically embroiled in one that requires your immediate attention.\n\nHere are the distressing details:\nOn April 15, 2023, at about noon, within the confines of King's Landing, my car was struck by another. As I navigated through the bustling streets near the marketplace, a distracted driver—likely admiring the view of the Blackwater Bay instead of the road—rammed into my car's side. This not only caused significant damage to the vehicle but also disrupted my travel plans significantly.\n\nNearly a month has elapsed since the accident, and yet, I've seen more action in the Small Council meetings than in the progress of my claim. Your lack of promptness in handling this matter is both noted and distressing. I require an exhaustive review and a swift update on my claim within the next 48 hours. This is not a mere request, but a necessity fueled by urgent needs and dwindling patience.\n\nPlease address this claim with the seriousness it merits. I expect a detailed response and a rapid resolution, or rest assured, further actions, potentially involving the Crown, will be considered.\n\nI await your expedited action,\nTyrion Lannister\n\nCC: Master of Coin\n\nAttach: Car Damage Photos, Eyewitness Accounts, Incident Report No. KL509" -} \ No newline at end of file diff --git a/lab-materials/03/requirements.txt b/lab-materials/03/requirements.txt deleted file mode 100644 index 77a92fdb..00000000 --- a/lab-materials/03/requirements.txt +++ /dev/null @@ -1,283 +0,0 @@ --i https://pypi.org/simple ---extra-index-url https://download.pytorch.org/whl/cpu -absl-py==1.4.0; python_version >= '3.6' -aiofiles==22.1.0; python_version >= '3.7' and python_version < '4.0' -aiohttp==3.9.5; python_version >= '3.8' -aiosignal==1.3.1; python_version >= '3.7' -aiosqlite==0.20.0; python_version >= '3.8' -anyio==4.3.0; python_version >= '3.8' -argon2-cffi==23.1.0; python_version >= '3.7' -argon2-cffi-bindings==21.2.0; python_version >= '3.6' -arrow==1.3.0; python_version >= '3.8' -astroid==3.1.0; python_full_version >= '3.8.0' -asttokens==2.4.1 -attrs==23.2.0; python_version >= '3.7' -autopep8==2.0.4; python_version >= '3.6' -azure-core==1.30.1; python_version >= '3.7' -azure-storage-blob==12.19.1; python_version >= '3.7' -babel==2.14.0; python_version >= '3.7' -beautifulsoup4==4.12.3; python_full_version >= '3.6.0' -black==24.4.0; python_version >= '3.8' -bleach==6.1.0; python_version >= '3.8' -blinker==1.7.0; python_version >= '3.8' -bokeh==3.4.1; python_version >= '3.9' -boto3==1.34.87; python_version >= '3.8' -botocore==1.34.87; python_version >= '3.8' -cachetools==5.3.3; python_version >= '3.7' -certifi==2024.2.2; python_version >= '3.6' -cffi==1.16.0; platform_python_implementation != 'PyPy' -charset-normalizer==3.3.2; python_full_version >= '3.7.0' -click==8.1.7; python_version >= '3.7' -cloudpickle==2.2.1; python_version >= '3.6' -colorama==0.4.6; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6' -coloredlogs==15.0.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -comm==0.2.2; python_version >= '3.8' -contourpy==1.2.1; python_version >= '3.9' -cryptography==42.0.5; python_version >= '3.7' -cycler==0.12.1; python_version >= '3.8' -dataclasses-json==0.6.4; python_version >= '3.7' and python_version < '4.0' -debugpy==1.8.1; python_version >= '3.8' -decorator==5.1.1; python_version >= '3.5' -defusedxml==0.7.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -deprecated==1.2.14; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -deprecation==2.1.0 -dill==0.3.8; python_version >= '3.11' -distro==1.9.0; python_version >= '3.6' -docstring-parser==0.16; python_version >= '3.6' and python_version < '4.0' -docstring-to-markdown==0.15; python_version >= '3.6' -einops==0.7.0; python_version >= '3.8' -elyra-code-snippet-extension==3.15.0 -elyra-pipeline-editor-extension==3.15.0 -elyra-python-editor-extension==3.15.0 -elyra-server==3.15.0; python_version >= '3.8' -entrypoints==0.4; python_version >= '3.6' -environs==9.5.0; python_version >= '3.6' -executing==2.0.1; python_version >= '3.5' -fastjsonschema==2.19.1 -filelock==3.13.4; python_version >= '3.8' -fire==0.6.0 -flake8==7.0.0 -flask==3.0.3; python_version >= '3.8' -flatbuffers==24.3.25 -fonttools==4.51.0; python_version >= '3.8' -fqdn==1.5.1 -frozenlist==1.4.1; python_version >= '3.8' -fsspec==2024.3.1; python_version >= '3.8' -gitdb==4.0.11; python_version >= '3.7' -gitpython==3.1.43; python_version >= '3.7' -google-api-core==2.18.0; python_version >= '3.7' -google-api-python-client==1.12.11; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -google-auth==2.29.0; python_version >= '3.7' -google-auth-httplib2==0.2.0 -google-cloud-core==2.4.1; python_version >= '3.7' -google-cloud-storage==2.16.0; python_version >= '3.7' -google-crc32c==1.5.0; python_version >= '3.7' -google-resumable-media==2.7.0; python_version >= '3.7' -googleapis-common-protos==1.63.0; python_version >= '3.7' -greenlet==3.0.3; platform_machine == 'aarch64' or (platform_machine == 'ppc64le' or (platform_machine == 'x86_64' or (platform_machine == 'amd64' or (platform_machine == 'AMD64' or (platform_machine == 'win32' or platform_machine == 'WIN32'))))) -grpcio==1.60.0; python_version >= '3.7' -gunicorn==21.2.0; python_version >= '3.5' -h11==0.14.0; python_version >= '3.7' -httpcore==1.0.5; python_version >= '3.8' -httplib2==0.22.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -httpx==0.27.0; python_version >= '3.8' -huggingface-hub==0.22.2; python_full_version >= '3.8.0' -humanfriendly==10.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -idna==3.7; python_version >= '3.5' -importlib-metadata==7.1.0; python_version >= '3.8' -ipykernel==6.29.4; python_version >= '3.8' -ipython==8.23.0; python_version >= '3.10' -ipython-genutils==0.2.0 -ipywidgets==8.1.2; python_version >= '3.7' -isodate==0.6.1 -isoduration==20.11.0 -isort==5.13.2; python_full_version >= '3.8.0' -itsdangerous==2.2.0; python_version >= '3.8' -jedi==0.19.1; python_version >= '3.6' -jinja2==3.1.3; python_version >= '3.7' -jmespath==1.0.1; python_version >= '3.7' -joblib==1.4.0; python_version >= '3.8' -json5==0.9.25; python_version >= '3.8' -jsonpatch==1.33; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6' -jsonpointer==2.4; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6' -jsonschema[format-nongpl]==4.21.1; python_version >= '3.8' -jsonschema-specifications==2023.12.1; python_version >= '3.8' -jupyter-bokeh==3.0.7; python_version >= '3.8' -jupyter-client==7.4.9; python_version >= '3.7' -jupyter-core==5.7.2; python_version >= '3.8' -jupyter-events==0.10.0; python_version >= '3.8' -jupyter-lsp==2.2.5; python_version >= '3.8' -jupyter-packaging==0.12.3; python_version >= '3.7' -jupyter-resource-usage==1.0.2; python_version >= '3.8' -jupyter-server==2.14.0; python_version >= '3.8' -jupyter-server-fileid==0.9.2; python_version >= '3.7' -jupyter-server-mathjax==0.2.6; python_version >= '3.7' -jupyter-server-proxy==4.1.2; python_version >= '3.8' -jupyter-server-terminals==0.5.3; python_version >= '3.8' -jupyter-server-ydoc==0.8.0; python_version >= '3.7' -jupyter-ydoc==0.2.5; python_version >= '3.7' -jupyterlab==3.6.7; python_version >= '3.7' -jupyterlab-git==0.44.0; python_version >= '3.7' -jupyterlab-lsp==4.3.0; python_version >= '3.8' -jupyterlab-pygments==0.3.0; python_version >= '3.8' -jupyterlab-server==2.26.0; python_version >= '3.8' -jupyterlab-widgets==3.0.10; python_version >= '3.7' -kfp==1.8.22; python_full_version >= '3.6.1' -kfp-pipeline-spec==0.1.16; python_full_version >= '3.7.0' -kfp-server-api==1.8.5 -kfp-tekton==1.5.10; python_full_version >= '3.6.1' -kiwisolver==1.4.5; python_version >= '3.7' -kubernetes==25.3.0; python_version >= '3.6' -langchain==0.1.12; python_version < '4.0' and python_full_version >= '3.8.1' -langchain-community==0.0.33; python_version < '4.0' and python_full_version >= '3.8.1' -langchain-core==0.1.44; python_version < '4.0' and python_full_version >= '3.8.1' -langchain-text-splitters==0.0.1; python_version < '4.0' and python_full_version >= '3.8.1' -langsmith==0.1.48; python_version < '4.0' and python_full_version >= '3.8.1' -markdown-it-py==3.0.0; python_version >= '3.8' -markupsafe==2.1.5; python_version >= '3.7' -marshmallow==3.21.1; python_version >= '3.8' -matplotlib==3.8.4; python_version >= '3.9' -matplotlib-inline==0.1.7; python_version >= '3.8' -mccabe==0.7.0 -mdurl==0.1.2; python_version >= '3.7' -minio==7.2.5 -mistune==3.0.2; python_version >= '3.7' -mpmath==1.3.0 -multidict==6.0.5; python_version >= '3.7' -mypy-extensions==1.0.0; python_version >= '3.5' -nbclassic==1.0.0; python_version >= '3.7' -nbclient==0.10.0; python_full_version >= '3.8.0' -nbconvert==7.16.3; python_version >= '3.8' -nbdime==3.2.1; python_version >= '3.6' -nbformat==5.10.4; python_version >= '3.8' -nest-asyncio==1.6.0; python_version >= '3.5' -networkx==3.3; python_version >= '3.10' -notebook==6.5.6; python_version >= '3.7' -notebook-shim==0.2.4; python_version >= '3.7' -numpy==1.26.4; python_version >= '3.9' -oauthlib==3.2.2; python_version >= '3.6' -onnx==1.15.0; python_version >= '3.8' -onnxruntime==1.17.3 -openai==1.14.1; python_full_version >= '3.7.1' -opencv-python-headless==4.9.0.80; python_version >= '3.6' -orjson==3.10.1; python_version >= '3.8' -overrides==7.7.0; python_version >= '3.6' -packaging==23.2; python_version >= '3.7' -pandas==2.2.2; python_version >= '3.9' -pandocfilters==1.5.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -papermill==2.5.0; python_version >= '3.8' -parso==0.8.4; python_version >= '3.6' -pathspec==0.12.1; python_version >= '3.8' -pexpect==4.9.0 -pillow==10.3.0; python_version >= '3.8' -pip==24.0; python_version >= '3.7' -platformdirs==4.2.0; python_version >= '3.8' -plotly==5.20.0; python_version >= '3.8' -pluggy==1.4.0; python_version >= '3.8' -prometheus-client==0.20.0; python_version >= '3.8' -prompt-toolkit==3.0.43; python_full_version >= '3.7.0' -proto-plus==1.23.0; python_version >= '3.6' -protobuf==3.20.3; python_version >= '3.7' -psutil==5.9.8; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5' -ptyprocess==0.7.0 -pure-eval==0.2.2 -py-cpuinfo==9.0.0 -pyarrow==15.0.2; python_version >= '3.8' -pyasn1==0.6.0; python_version >= '3.8' -pyasn1-modules==0.4.0; python_version >= '3.8' -pycodestyle==2.11.1; python_version >= '3.8' -pycparser==2.22; python_version >= '3.8' -pycryptodome==3.20.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -pydantic==1.10.15; python_version >= '3.7' -pydocstyle==6.3.0 -pyflakes==3.2.0 -pygithub==2.3.0; python_version >= '3.7' -pygments==2.17.2; python_version >= '3.7' -pyjwt[crypto]==2.8.0; python_version >= '3.7' -pylint==3.1.0 -pymilvus==2.3.7; python_version >= '3.8' -pynacl==1.5.0; python_version >= '3.6' -pyparsing==3.1.2; python_full_version >= '3.6.8' -python-dateutil==2.9.0.post0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -python-dotenv==1.0.1; python_version >= '3.8' -python-json-logger==2.0.7; python_version >= '3.6' -python-lsp-jsonrpc==1.1.2; python_version >= '3.8' -python-lsp-server[all]==1.11.0; python_version >= '3.8' -pytoolconfig[global]==1.3.1; python_version >= '3.8' -pytz==2024.1 -pyyaml==6.0.1; python_version >= '3.6' -pyzmq==24.0.1; python_version >= '3.6' -referencing==0.34.0; python_version >= '3.8' -regex==2024.4.16; python_version >= '3.7' -requests==2.31.0; python_version >= '3.7' -requests-oauthlib==2.0.0; python_version >= '3.4' -requests-toolbelt==0.10.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -rfc3339-validator==0.1.4; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -rfc3986-validator==0.1.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -rich==13.7.1; python_full_version >= '3.7.0' -rope==1.13.0 -rpds-py==0.18.0; python_version >= '3.8' -rsa==4.9; python_version >= '3.6' and python_version < '4' -s3transfer==0.10.1; python_version >= '3.8' -safetensors==0.4.3; python_version >= '3.7' -scikit-learn==1.4.2; python_version >= '3.9' -scipy==1.12.0; python_version >= '3.9' -seaborn==0.13.2; python_version >= '3.8' -send2trash==1.8.3; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5' -sentence-transformers==2.6.1; python_full_version >= '3.8.0' -setuptools==69.2.0; python_version >= '3.8' -shellingham==1.5.4; python_version >= '3.7' -simpervisor==1.0.0; python_version >= '3.8' -six==1.16.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -smmap==5.0.1; python_version >= '3.7' -sniffio==1.3.1; python_version >= '3.7' -snowballstemmer==2.2.0 -soupsieve==2.5; python_version >= '3.8' -sqlalchemy==2.0.29; python_version >= '3.7' -stack-data==0.6.3 -strip-hints==0.1.10 -sympy==1.12; python_version >= '3.8' -tabulate==0.9.0; python_version >= '3.7' -tenacity==8.2.3; python_version >= '3.7' -termcolor==2.3.0; python_version >= '3.7' -terminado==0.18.1; python_version >= '3.8' -text-generation==0.6.1; python_version >= '3.7' and python_version < '4.0' -thop==0.1.1.post2209072238 -threadpoolctl==3.4.0; python_version >= '3.8' -tinycss2==1.2.1; python_version >= '3.7' -tokenizers==0.19.1; python_version >= '3.7' -tomli==2.0.1; python_version >= '3.7' -tomlkit==0.12.4; python_version >= '3.7' -torch==2.2.2+cpu -torchvision==0.17.2; python_version >= '3.8' -tornado==6.4; python_version >= '3.8' -tqdm==4.66.2; python_version >= '3.7' -traitlets==5.14.2; python_version >= '3.8' -transformers==4.40.0; python_full_version >= '3.8.0' -typer==0.12.3; python_version >= '3.7' -types-python-dateutil==2.9.0.20240316; python_version >= '3.8' -typing-extensions==4.11.0; python_version >= '3.8' -typing-inspect==0.9.0 -tzdata==2024.1; python_version >= '2' -ujson==5.9.0; python_version >= '3.8' -ultralytics==8.1.47; python_version >= '3.8' -uri-template==1.3.0 -uritemplate==3.0.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -urllib3==1.26.18; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5' -watchdog==4.0.0; python_version >= '3.8' -wcwidth==0.2.13 -webcolors==1.13 -webencodings==0.5.1 -websocket-client==1.7.0; python_version >= '3.8' -werkzeug==3.0.2; python_version >= '3.8' -whatthepatch==1.0.5 -wheel==0.43.0; python_version >= '3.8' -widgetsnbextension==4.0.10; python_version >= '3.7' -wrapt==1.16.0; python_version >= '3.6' -xyzservices==2024.4.0; python_version >= '3.8' -y-py==0.6.2 -yapf==0.40.2 -yarl==1.9.4; python_version >= '3.7' -yaspin==3.0.2; python_version >= '3.9' and python_version < '4.0' -ypy-websocket==0.8.4; python_version >= '3.7' -zipp==3.18.1; python_version >= '3.8' diff --git a/lab-materials/04/04-01-over-approach.ipynb b/lab-materials/04/04-01-over-approach.ipynb deleted file mode 100644 index 96f567a1..00000000 --- a/lab-materials/04/04-01-over-approach.ipynb +++ /dev/null @@ -1,160 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "508be7fd-7c1d-46b1-945d-d0da8ed19c82", - "metadata": {}, - "source": [ - "# Overview of approach used for detecting car crashes\n", - "\n", - "We have been tasked with developing an application which can identify if an insurance claim contains a car accident displayed in a static image. If an accident is detected, the claim is forwarded to the correct claims processing department. Let's start by learning how to use a YOLO model. \n", - "\n", - "Note: YOLO stands for 'You Only Look Once'.\n", - "\n", - "In this notebook we use a pre-trained machine learning model, YOLOv8m and explore how it works on static images. If it can detect a car then we can retrain the model to detect car accidents. \n", - "\n", - "To begin, we will install the ultralytics package for YOLO models and import some python packages:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "952e0a5e-e038-46bc-b7a2-16ca7ec64af5", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# If you did not use the Workbench image designed for this Lab, you can uncomment and run the following line to install the required packages.\n", - "# !pip install --no-cache-dir --no-dependencies -r requirements.txt\n", - "\n", - "import cv2\n", - "from ultralytics import YOLO\n", - "from PIL import Image" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ff63f26e-1a19-4409-ad99-d0abb45d74aa", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# We are going to use the YOLOv8m model for object detection\n", - "model = YOLO('yolov8m.pt')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "568460ea-b6b2-48b6-87fb-2a7d2f8091e0", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Display the image we wish to test\n", - "Image.open(\"images/carImage0.jpg\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c4c129c0-e309-45e3-b094-ee4ee999dd7d", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Test that the YOLO model can identify a car object in the given photo\n", - "results = model.predict(\"images/carImage0.jpg\")" - ] - }, - { - "cell_type": "markdown", - "id": "86e1bd1b-123c-4fac-ab18-da40323cc97e", - "metadata": {}, - "source": [ - "We see that YOLO has determined that there is '1 car' in the provided photo. This is great news for us. We can test out a few more photos to make certain YOLO is detecting car objects. Then we can write some code to draw boxes around the car YOLO detected for us." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c00d4d9a-7b03-479a-9995-f0a0cddbf1e1", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# List all the images in our folder. We can then pick one of those images for our tests.\n", - "!ls -al images" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1c920270-62a0-41be-a8e3-0ccf57771fcc", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Choose a car image, eg , and see if yolo can determine if the image contains an automobile.\n", - "img = Image.open('images/carImage4.jpg')\n", - "img_resized = img.resize((500, 300))\n", - "display(img_resized)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "26771df8-1e76-4aee-893d-1200b9871fff", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Obtain the results for the model prediction\n", - "results = model.predict(img)" - ] - }, - { - "cell_type": "markdown", - "id": "24a0c24c-9847-4ab0-a242-ca236fffda3e", - "metadata": {}, - "source": [ - "If we look at the results for , we see that yolo has determined that there are 17 cars and 1 truck. This result is interesting. We have confirmed that the yolo model can identify multiple 'cars' in an image that contains multiple vehicles.\n", - "\n", - "However, with so many vehicles displayed in the image, it may now be difficult for us, 'the humans', to accurately count all of the vehicles!\n", - "\n", - "Therefore let's write some code that will draw boxes around the cars that the yolo model identifies within an image.\n", - "\n", - "**Please open the notebook `04-02-car-recog.ipynb`**." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.11", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/lab-materials/04/04-02-car-recognition.ipynb b/lab-materials/04/04-02-car-recognition.ipynb deleted file mode 100644 index ef06aac8..00000000 --- a/lab-materials/04/04-02-car-recognition.ipynb +++ /dev/null @@ -1,277 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "917ad428-9d47-46eb-aa7b-b0cbd485f2ce", - "metadata": {}, - "source": [ - "# Detect a car and place bounding boxes around it\n", - "\n", - "In this notebook we will learn how to draw boxes around the cars that have been detected by the Yolo model.\n", - "\n", - "To begin, we will import the YOLO package." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "03c4c9cc-1e3a-43a4-92cf-44af26573030", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# If you did not use the Workbench image designed for this Lab, you can uncomment and run the following line to install the required packages.\n", - "# !pip install --no-cache-dir --no-dependencies -r requirements.txt\n", - "\n", - "from ultralytics import YOLO\n", - "from PIL import Image" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0aa262cd-c629-45a5-a718-de61a585b710", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# We are going to use the YOLOv8m model for object detection\n", - "\n", - "model = YOLO(\"yolov8m.pt\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "576ca31b-b8f1-45a9-ae12-2f5420e5fbbe", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Obtain the results for the model prediction on a test images\n", - "\n", - "img = \"images/carImage0.jpg\"\n", - "results = model.predict(img)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f7516db3-b51c-4699-b63b-4c1d9c307a73", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# With YOLO you can submit an array of images, not just one, and you get an array of results.\n", - "# As we submitted only one image, we need to retrieve only the first (and only) element from our array of results.\n", - "\n", - "result = results[0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "720e6638-cced-440c-afb1-6270b74f3bb6", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Detect how many boxes were found\n", - "\n", - "len(result.boxes)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "243d234e-8c90-4c0e-a78d-d304faabee71", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Analyze the box\n", - "\n", - "box = result.boxes[0]\n", - "print(\"Object type:\", box.cls)\n", - "print(\"Coordinates:\", box.xyxy)\n", - "print(\"Probability:\", box.conf)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6922f2d3-0849-4567-9c5d-2232b19eeae4", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Unpack the actual values from the Tensor\n", - "\n", - "cords = box.xyxy[0].tolist()\n", - "class_id = box.cls[0].item()\n", - "conf = box.conf[0].item()\n", - "print(\"Object type:\", class_id)\n", - "print(\"Coordinates:\", cords)\n", - "print(\"Probability:\", conf)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9bfe8462-eec5-4769-ba8a-cf0fec8dfea2", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# COCO is the dataset on which the YOLO model has been trained. The objects it has been trained to detect are organized in classes. This is the info we got with the \"Object type\" field.\n", - "# The YOLOv8 result object also contains the 'names' property for these classes.\n", - "\n", - "print(result.names)" - ] - }, - { - "cell_type": "markdown", - "id": "cb88c825-0144-49e7-9434-02ffdc2212c6", - "metadata": {}, - "source": [ - "\n", - "We see that class number '2' correspond to a 'car' object. So the bounding box in our result corresponds to a detected 'car'.\n", - "Let's draw the box on the image!\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f5c4d962-1f36-40ac-b399-e819023a4a05", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# First, put the coordinates in a list, and round them.\n", - "# Then get the name of the detected object class by ID using the result.names dictionary.\n", - "\n", - "cords = box.xyxy[0].tolist()\n", - "cords = [round(x) for x in cords]\n", - "class_id = result.names[box.cls[0].item()]\n", - "conf = round(box.conf[0].item(), 2)\n", - "print(\"Object type:\", class_id)\n", - "print(\"Coordinates:\", cords)\n", - "print(\"Probability:\", conf)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "76cc667b-779d-4bbd-a2d4-3fb8b7c4ff22", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Let's loop over all the boxes to extract the information.\n", - "\n", - "for box in result.boxes:\n", - " class_id = result.names[box.cls[0].item()]\n", - " cords = box.xyxy[0].tolist()\n", - " cords = [round(x) for x in cords]\n", - " conf = round(box.conf[0].item(), 2)\n", - " print(\"Object type:\", class_id)\n", - " print(\"Coordinates:\", cords)\n", - " print(\"Probability:\", conf)\n", - " print(\"---\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "79374798-8dc6-4235-9d4e-dc1c0e397bf5", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# On the image, draw the box, the name of the class, and the probability (how much the model is sure about the detection).\n", - "\n", - "Image.fromarray(result.plot()[:,:,::-1])" - ] - }, - { - "cell_type": "markdown", - "id": "7b83cb59-33b2-42dc-b001-b7e1af41d064", - "metadata": {}, - "source": [ - "Now, let's go back to the multiple car image (carImage4.jpg) that we tested in the last notebook, and determine if yolo is indeed able to identify all the 'cars' in the image." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b946358d-727a-4d08-9f9b-5c7cd9ee9c29", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# This is the same code we used in the previous cells, but in one pass\n", - "\n", - "results = model.predict(\"images/carImage4.jpg\")\n", - "\n", - "result = results[0]\n", - "\n", - "for box in result.boxes:\n", - " class_id = result.names[box.cls[0].item()]\n", - " cords = box.xyxy[0].tolist()\n", - " cords = [round(x) for x in cords]\n", - " conf = round(box.conf[0].item(), 2)\n", - " print(\"Object type:\", class_id)\n", - " print(\"Coordinates:\", cords)\n", - " print(\"Probability:\", conf)\n", - " print(\"---\")\n", - "\n", - "Image.fromarray(result.plot()[:,:,::-1])" - ] - }, - { - "cell_type": "markdown", - "id": "e285a42c-1763-427b-9806-943bf94aa219", - "metadata": {}, - "source": [ - "We can see that the YOLO model did miss some cars that are in the 'far back' of the image. But overall, the model did a great job of identifying multiple cars in this image. And more importantly we can see that the identified cars are surrounded by a 'bounding box'!\n", - "\n", - "Now that we are able to place bounding boxes around the car(s) recognized by the yolo model, we can re-train our YOLO model to identify a car 'crash'. \n", - "\n", - "**Please open the notebook `04-03-model-retraining.ipynb`.**" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.11", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/lab-materials/04/04-03-model-retraining.ipynb b/lab-materials/04/04-03-model-retraining.ipynb deleted file mode 100644 index 5056255d..00000000 --- a/lab-materials/04/04-03-model-retraining.ipynb +++ /dev/null @@ -1,202 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "f8cbdac0-3371-48af-aaa9-c40bbbcb62ff", - "metadata": {}, - "source": [ - "# Retrain the YOLO model\n", - "\n", - "To retrain the YOLO model we need a prepared dataset of car images with moderate and severe accident labels. We have such a dataset (obtained from RoboFlow) that already contains annotated images, splitted into training and validation datasets. We will use these training/validation sets to retrain our current YOLO model. A few info on the data structure needed for training:\n", - "\n", - "1. The encode classes of objects we want to teach our model to detect is 0-`moderate` and 1-`severe`.\n", - "2. The dataset will be in its own folder, with 2 subfolders in it: `train` and `valid`. Within each subfolder there will be 2 subfolders: `images` and `labels`.\n", - "3. Each image has a corresponding annotation text file in the `labels` subfolder. The annotation text files have the same names as the image files.\n", - "4. A dataset descriptor YAML file (data.yaml) points to the datasets and describes the object classes in them. This YAML file is passed to the `train` method of the model to start the training process.\n", - "\n", - "Let's get started!" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "602e0c59-42b1-4de4-9de2-d0875cf597c8", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# If you did not use the Workbench image designed for this Lab, you can uncomment and run the following line to install the required packages.\n", - "# !pip install --no-cache-dir --no-dependencies -r requirements.txt\n", - "\n", - "import os\n", - "import requests\n", - "import zipfile\n", - "from tqdm.notebook import tqdm\n", - "from ultralytics import YOLO" - ] - }, - { - "cell_type": "markdown", - "id": "cc755b4b-db03-4b43-9da9-80ed8298417b", - "metadata": {}, - "source": [ - "Next let's load a YOLO model 'yolo8m.pt'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6e595eb2-0e11-4dce-9d5c-2a2025ddcd6d", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Load model\n", - "model = YOLO('yolov8m.pt') # load a pretrained model (recommended for training)" - ] - }, - { - "cell_type": "markdown", - "id": "37d43616-2d25-419b-bd30-47a5aafb0d33", - "metadata": { - "tags": [] - }, - "source": [ - "## Get the training data\n", - "\n", - "We have provided the following 2 training data sets, available as zip files: \n", - "1) `accident-full.zip` - to be used to fully re-train the model.\n", - "2) `accident-sample.zip` - to be used to partially re-train the model when we don't have the time to fully re-train the model.\n", - "\n", - "During the workshop we will only use the sample dataset." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2657ceae-db2d-4d65-ae1c-e807254ee71b", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Function to retrieve a specific dataset\n", - "def retrieve_dataset(dataset_type):\n", - "\n", - " # Check if the directory exists, if not, create it\n", - " if not os.path.exists(\"./datasets/\"):\n", - " os.makedirs(\"./datasets/\")\n", - "\n", - " URL = f\"https://rhods-public.s3.amazonaws.com/sample-data/accident-data/accident-{dataset_type}.zip\"\n", - "\n", - " # Check if the file exists, if not, download and unzip it\n", - " if not os.path.exists(f\"./datasets/accident-{dataset_type}.zip\"):\n", - " print(\"Downloading file...\")\n", - " response = requests.get(URL, stream=True)\n", - " total_size = int(response.headers.get('content-length', 0))\n", - " block_size = 1024\n", - " t = tqdm(total=total_size, unit='iB', unit_scale=True)\n", - " with open(f'./datasets/accident-{dataset_type}.zip', 'wb') as f:\n", - " for data in response.iter_content(block_size):\n", - " t.update(len(data))\n", - " f.write(data)\n", - " t.close()\n", - " if os.path.exists(f\"./datasets/accident-{dataset_type}.zip\"):\n", - " print(\"Unzipping file...\")\n", - " with zipfile.ZipFile(f'./datasets/accident-{dataset_type}.zip', 'r') as zip_ref:\n", - " zip_ref.extractall(path='./datasets/')\n", - " print(\"Done!\")\n", - "\n", - "\n", - "dataset_type = 'sample'\n", - "# dataset_type = 'full' # Use this line instead if you want to retrieve the full dataset\n", - "retrieve_dataset(dataset_type)" - ] - }, - { - "cell_type": "markdown", - "id": "93e7d5b4-4c29-4eff-b1ba-a9dddf382173", - "metadata": { - "tags": [] - }, - "source": [ - "## Re-training our YOLO model\n", - "\n", - "Let's start by understanding what an 'epoch' is. Machine learning models are trained with specific datasets passed through an algorithm. Each time the full dataset passes through the algorithm, it is said to have completed an **epoch**. Each **epoch** will further refine the training of the model.\n", - "\n", - "In the training code below we will set various parameters: \n", - "**results = model.train(data='./datasets/accident-sample/data.yaml', epochs=1, imgsz=640, batch=2)**\n", - "\n", - "- epochs: as we want to only demo the process, we will use only 1 epoch.\n", - "- imgsz: this is the size of the images the model has to be fed with.\n", - "- batch: this is the number of images that the algorithm will process simultaneously. The more the better results, but the more memory it consumes. As we are on constrained resources in this workshop, and this is only a training example, we keep it intentionally low at 2.\n", - "\n", - "In your training run, each **epoch<** will show a summary for both the training and validation phases: lines 1 and 2 show results of the training phase and lines 3 and 4 show the results of the validation phase for each epoch. \n", - "\n", - "Execute the following cell to start re-training the model!" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "22954895-0c26-4ae0-93c1-259efd18e47e", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Train the model\n", - "\n", - "results = model.train(data='./datasets/accident-sample/data.yaml', epochs=1, imgsz=640, batch=2)" - ] - }, - { - "cell_type": "markdown", - "id": "45050c91-fb6c-4f14-a4d1-e72d3a40538f", - "metadata": {}, - "source": [ - "**Note**: after a standard re-training, if we are happy with the results, we could export our model to the ONNX format. \n", - "(you would replace trainX by the traininig session you want to use in the following command)\n", - "\n", - "`ObjDetOXModel = YOLO(\"runs/detect/trainX/weights/best.pt\").export(format=\"onnx\")`" - ] - }, - { - "cell_type": "markdown", - "id": "cd0f7412-0b9b-46d1-b2f6-ded479b20cb7", - "metadata": {}, - "source": [ - "## Interpreting our Training Results\n", - "\n", - "A full description of the process and the results for a training against the **full dataset** is available in the Lab instructions.\n", - "\n", - "Now that we have retrained our model let's test it against images with car accidents!\n", - "\n", - "**Please open the notebook `04-04-accident-recog.ipynb`**." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.11", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/lab-materials/04/04-04-accident-recog.ipynb b/lab-materials/04/04-04-accident-recog.ipynb deleted file mode 100644 index aa5990e7..00000000 --- a/lab-materials/04/04-04-accident-recog.ipynb +++ /dev/null @@ -1,155 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "70bedcd9-6e54-4fe7-951f-807c6ab2f0e9", - "metadata": {}, - "source": [ - "# Test the retrained YOLO model\n", - "\n", - "Now that we have retrained our model we can test it against our 'test' images." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cb59c2a5-7de8-48b2-8f32-a83b4b42a7ab", - "metadata": {}, - "outputs": [], - "source": [ - "# If you did not use the Workbench image designed for this Lab, you can uncomment and run the following line to install the required packages.\n", - "# !pip install --no-cache-dir --no-dependencies -r requirements.txt\n", - "\n", - "from ultralytics import YOLO\n", - "from PIL import Image\n", - "import numpy as np\n", - "import cv2\n", - "from matplotlib import pyplot as plt\n", - "\n", - "import remote_infer" - ] - }, - { - "cell_type": "markdown", - "id": "5c5cc11d-54eb-4f95-a92a-4b9f6cf1fac6", - "metadata": {}, - "source": [ - "In the last notebook we saw how to re-trained the model. As this is a time-consuming tasks that would require GPUs to be efficient, we cannot really do it during the workshop.\n", - "\n", - "So for your convenience, an already re-trained model, exported in the ONNX format, is available." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1a927c99-c8d0-44d2-94ce-be033b8ca0de", - "metadata": {}, - "outputs": [], - "source": [ - "# Get the newly trained model.\n", - "\n", - "model = YOLO(\"https://rhods-public.s3.amazonaws.com/demo-models/ic-models/accident/accident_detect.onnx\", task=\"detect\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "bdab1fa5-1d47-4060-b32a-e53f52a7a993", - "metadata": {}, - "outputs": [], - "source": [ - "# Test the model against a car accident image\n", - "image_path = \"images/carImage3.jpg\" # We know that Image3 represents a severe accident with over 86% certainty.\n", - "\n", - "_, scale, original_image = remote_infer.preprocess(image_path)\n", - "\n", - "original_image: np.ndarray = cv2.imread(image_path)\n", - "blob = cv2.dnn.blobFromImage(original_image, size=(640, 640), swapRB=False)\n", - "blob = np.ascontiguousarray(blob[0].transpose((1,2,0)))\n", - "results = model.predict(blob)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "04757541-e559-4a12-9f99-98ca183452d7", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Extract all the information from the result (type, bounding box, probability)\n", - "\n", - "detections = []\n", - "result = results[0]\n", - "for box in result.boxes:\n", - " class_id = int(box.cls.item())\n", - " score = box.conf.item()\n", - " unscaled_cords = box.xyxy.squeeze().tolist()\n", - " cords = [round(unscaled_cords[0] * scale[1]), round(unscaled_cords[1] * scale[0]), round(unscaled_cords[2] * scale[1]), round(unscaled_cords[3] * scale[0])]\n", - " detection = {\n", - " 'class_id': class_id,\n", - " 'class_name': result.names[class_id],\n", - " 'confidence': score,\n", - " 'box': cords,\n", - " 'scale': scale}\n", - " detections.append(detection)\n", - " print(detection)\n", - " remote_infer.draw_bounding_box(original_image, class_id, score, cords[0], cords[1], cords[2], cords[3])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cefc9691-0cd5-446f-b4b6-fc02112ef2fa", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# On the image, draw the box, the name of the class, and the probability (how much the model is sure about the detection).\n", - "\n", - "img = cv2.cvtColor(original_image, cv2.COLOR_BGR2RGB)\n", - "fig = plt.gcf()\n", - "fig.set_size_inches(6, 3)\n", - "plt.axis('off')\n", - "plt.imshow(img)" - ] - }, - { - "cell_type": "markdown", - "id": "1784c664-01ea-4787-acd7-631854caa9fd", - "metadata": {}, - "source": [ - "In examining 'carImage3.jpg' the re-trainined YOLO model correctly predicts a 'car accident' with 86% confidence. A box is then drawn around the car accident and labelled with `severe 0.86`.\n", - "\n", - "Now that we have a model which can detect accident severity, let's create a predict function and serve our model with ModelMesh.\n", - "\n", - "**Go back to the Instructions of the Lab, to learn how to do that.**\n", - "\n", - "**DO NOT open notebook `04-05-model-serving.ipynb` yet**." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.11", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/lab-materials/04/04-05-model-serving.ipynb b/lab-materials/04/04-05-model-serving.ipynb deleted file mode 100644 index 41964749..00000000 --- a/lab-materials/04/04-05-model-serving.ipynb +++ /dev/null @@ -1,157 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "e4f4dada-51a8-4f06-9618-0f2deda72bee", - "metadata": { - "tags": [] - }, - "source": [ - "# Model Serving \n", - "\n", - "In notebook '04-04-accident-recognition' we were able to use the retrained model to predict a 'severe' or 'moderate' car accident within an image. \n", - "\n", - "Now we will determine if we can query the model directly from the model server we have created. This will be done through an API call.\n", - "\n", - "**Important**: First, enter the inference endpoint URL you got after deploying the model server." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e38338ba-d858-4096-92a1-284d35679005", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Normally, this should be\n", - "# RestURL = 'http://modelmesh-serving.userX:8008' , with userX being replaced by the user you have been assigned.\n", - "# CHANGE the value below, or nothing will work!\n", - "RestURL = 'http://modelmesh-serving.userX:8008'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "03c4c9cc-1e3a-43a4-92cf-44af26573030", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# If you did not use the Workbench image designed for this Lab, you can uncomment and run the following line to install the required packages.\n", - "#!pip install --no-cache-dir --no-dependencies -r requirements.txt" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "930247ab-2e10-4db4-888c-517ca3a4cec8", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "import cv2\n", - "from matplotlib import pyplot as plt\n", - "from PIL import Image\n", - "## note that to keep the notebook readable, a lot of code was moved into the file remote_infer.py.\n", - "## if you are curious, open it to see the various functions required around this prediction\n", - "from remote_infer import process_image" - ] - }, - { - "cell_type": "markdown", - "id": "c5e84546-979c-4dc2-9fc7-21d997001beb", - "metadata": {}, - "source": [ - "## We will define the inference URL, the model name, the YAML file with your classes" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "329ac64a-76a4-4630-8da3-0174fbdf54cd", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "infer_url = f'{RestURL}/v2/models/my-first-model/infer'" - ] - }, - { - "cell_type": "markdown", - "id": "e74d67e4-1933-4957-80fd-c4b143d14279", - "metadata": { - "tags": [] - }, - "source": [ - "## Now we set the parameters for the inference" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "31725659-710d-4fdc-b195-4d56b299f419", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# 1. The image you want to analyze\n", - "image_path = 'images/carImage3.jpg' # You can replace this with an image you upload" - ] - }, - { - "cell_type": "markdown", - "id": "326d21db-0f7b-4f89-86bd-84f4c04b7c44", - "metadata": {}, - "source": [ - "## Launch the inference and show the result" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c15e0ccd-5c65-4dc7-80bc-2e583223ac59", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Launch the inference by calling the remote model server\n", - "img = process_image(image_path, infer_url)\n", - "\n", - "# Display the result\n", - "img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n", - "fig = plt.gcf()\n", - "fig.set_size_inches(6, 3)\n", - "plt.axis('off')\n", - "plt.imshow(img)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.11", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/lab-materials/04/README.md b/lab-materials/04/README.md deleted file mode 100644 index 8ae28edf..00000000 --- a/lab-materials/04/README.md +++ /dev/null @@ -1,19 +0,0 @@ -# car-accident-detection -car accident detection model - -Simple, unstructured and unopinionated project for data science. The purpose is to allow data science exploration to easily transition into deployed services and applications on the Red Hat OpenShift AI platform. - -We are working with the YOLO8 object detection model. - -## Project Organization - -```text -├── README.md -├── requirements.txt <- Used to install packages for model training and notebook usage -├── 04-01-over-approach.ipynb <- Notebook to explore un-trained YOLO8 model -├── 04-02-car-recognition.ipynb <- Notebook to show how detect the car and place information and bounding boxes on the image -├── 04-03-model-retraining.ipynb <- Notebook used to retrain YOLO8 model with Roboflow accident detection dataset -├── 04-04-accident-recog.ipynb <- Notebook used to test the retrained YOLO8 model -├── 04-05-serving-manual.ipynb <- Notebook used to query the model served from RHOAI --------- -``` diff --git a/lab-materials/04/classes.yaml b/lab-materials/04/classes.yaml deleted file mode 100644 index 1fc58ee5..00000000 --- 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dee8117b..00000000 --- a/lab-materials/04/remote_infer.py +++ /dev/null @@ -1,131 +0,0 @@ -import requests - -import cv2.dnn -import numpy as np - -CLASSES = { - 0: "moderate", - 1: "severe" -} -colors = np.random.uniform(0, 255, size=(len(CLASSES), 3)) - - -def preprocess(image_path): - original_image: np.ndarray = cv2.imread(image_path) - [height, width, _] = original_image.shape - - # Calculate scale factor - scale = (height/640, width/640) - - # Preprocess the image and prepare blob for model - blob = cv2.dnn.blobFromImage(original_image, scalefactor=1 / 255, size=(640, 640), swapRB=True) - - return blob, scale, original_image - - -def draw_bounding_box(img, class_id, confidence, x, y, x_plus_w, y_plus_h): - """ - Draws bounding boxes on the input image based on the provided arguments. - - Args: - img (numpy.ndarray): The input image to draw the bounding box on. - class_id (int): Class ID of the detected object. - confidence (float): Confidence score of the detected object. - x (int): X-coordinate of the top-left corner of the bounding box. - y (int): Y-coordinate of the top-left corner of the bounding box. - x_plus_w (int): X-coordinate of the bottom-right corner of the bounding box. - y_plus_h (int): Y-coordinate of the bottom-right corner of the bounding box. - """ - font = cv2.FONT_HERSHEY_SIMPLEX, - text_color_bg = colors[class_id] - label = f'{CLASSES[class_id]} {confidence:.2f}' - (label_width, label_height), _ = cv2.getTextSize(label, cv2.FONT_HERSHEY_SIMPLEX, 0.5, 1) - cv2.rectangle(img, (x, y), (x_plus_w, y_plus_h), text_color_bg, 2) # Box - cv2.rectangle(img, (x, y-label_height), (x+label_width, y), text_color_bg, cv2.FILLED) # Background label - cv2.putText(img, label, (x, y), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255,255,255), 1, cv2.LINE_AA) - -def postprocess(response, scale, original_image): - outputs = np.array([cv2.transpose(response[0])]) - rows = outputs.shape[1] - - boxes = [] - scores = [] - class_ids = [] - - # Iterate through output to collect bounding boxes, confidence scores, and class IDs - for i in range(rows): - classes_scores = outputs[0][i][4:] - (minScore, maxScore, minClassLoc, (x, maxClassIndex)) = cv2.minMaxLoc(classes_scores) - if maxScore >= 0.25: - box = [ - outputs[0][i][0] - (0.5 * outputs[0][i][2]), outputs[0][i][1] - (0.5 * outputs[0][i][3]), - outputs[0][i][2], outputs[0][i][3]] - boxes.append(box) - scores.append(maxScore) - class_ids.append(maxClassIndex) - result_boxes = cv2.dnn.NMSBoxes(boxes, scores, 0.25, 0.45, 0.5) - - detections = [] - - # Iterate through NMS results to draw bounding boxes and labels - for i in range(len(result_boxes)): - index = result_boxes[i] - box = boxes[index] - detection = { - 'class_id': class_ids[index], - 'class_name': CLASSES[class_ids[index]], - 'confidence': scores[index], - 'box': box, - 'scale': scale} - detections.append(detection) - draw_bounding_box(original_image, class_ids[index], scores[index], round(box[0] * scale[1]), round(box[1] * scale[0]), - round((box[0] + box[2]) * scale[1]), round((box[1] + box[3]) * scale[0])) - return original_image - - -def _serialize(image): - payload = { - 'inputs': [ - { - 'name': 'images', - 'shape': [1, 3, 640, 640], - 'datatype': 'FP32', - 'data': image.flatten().tolist(), - }, - ] - } - return payload - - -def _unpack(response_item): - return np.array(response_item['data']).reshape(response_item['shape']) - - -def send_request(image, endpoint): - payload = _serialize(image) - raw_response = requests.post(endpoint, json = payload) - try: - response = raw_response.json() - except: - print(f'Failed to deserialize service response.\n' - f'Status code: {raw_response.status_code}\n' - f'Response body: {raw_response.text}') - raise - - try: - model_output = response['outputs'] - except: - print(f'Failed to extract model output from service response.\n' - f'Service response: {response}') - raise - - unpacked_output = [_unpack(item) for item in model_output] - return unpacked_output - - -def process_image(image_path, endpoint): - preprocessed, scale, original_image = preprocess(image_path) - response = send_request(preprocessed, endpoint) - new_image = postprocess(response[0], scale, original_image) - - return new_image diff --git a/lab-materials/04/requirements.txt b/lab-materials/04/requirements.txt deleted file mode 100644 index 77a92fdb..00000000 --- a/lab-materials/04/requirements.txt +++ /dev/null @@ -1,283 +0,0 @@ --i https://pypi.org/simple ---extra-index-url https://download.pytorch.org/whl/cpu -absl-py==1.4.0; python_version >= '3.6' -aiofiles==22.1.0; python_version >= '3.7' and python_version < '4.0' -aiohttp==3.9.5; python_version >= '3.8' -aiosignal==1.3.1; python_version >= '3.7' -aiosqlite==0.20.0; python_version >= '3.8' -anyio==4.3.0; python_version >= '3.8' -argon2-cffi==23.1.0; python_version >= '3.7' -argon2-cffi-bindings==21.2.0; python_version >= '3.6' -arrow==1.3.0; python_version >= '3.8' -astroid==3.1.0; python_full_version >= '3.8.0' -asttokens==2.4.1 -attrs==23.2.0; python_version >= '3.7' -autopep8==2.0.4; python_version >= '3.6' -azure-core==1.30.1; python_version >= '3.7' -azure-storage-blob==12.19.1; python_version >= '3.7' -babel==2.14.0; python_version >= '3.7' -beautifulsoup4==4.12.3; python_full_version >= '3.6.0' -black==24.4.0; python_version >= '3.8' -bleach==6.1.0; python_version >= '3.8' -blinker==1.7.0; python_version >= '3.8' -bokeh==3.4.1; python_version >= '3.9' -boto3==1.34.87; python_version >= '3.8' -botocore==1.34.87; python_version >= '3.8' -cachetools==5.3.3; python_version >= '3.7' -certifi==2024.2.2; python_version >= '3.6' -cffi==1.16.0; platform_python_implementation != 'PyPy' -charset-normalizer==3.3.2; python_full_version >= '3.7.0' -click==8.1.7; python_version >= '3.7' -cloudpickle==2.2.1; python_version >= '3.6' -colorama==0.4.6; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6' -coloredlogs==15.0.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -comm==0.2.2; python_version >= '3.8' -contourpy==1.2.1; python_version >= '3.9' -cryptography==42.0.5; python_version >= '3.7' -cycler==0.12.1; python_version >= '3.8' -dataclasses-json==0.6.4; python_version >= '3.7' and python_version < '4.0' -debugpy==1.8.1; python_version >= '3.8' -decorator==5.1.1; python_version >= '3.5' -defusedxml==0.7.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -deprecated==1.2.14; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -deprecation==2.1.0 -dill==0.3.8; python_version >= '3.11' -distro==1.9.0; python_version >= '3.6' -docstring-parser==0.16; python_version >= '3.6' and python_version < '4.0' -docstring-to-markdown==0.15; python_version >= '3.6' -einops==0.7.0; python_version >= '3.8' -elyra-code-snippet-extension==3.15.0 -elyra-pipeline-editor-extension==3.15.0 -elyra-python-editor-extension==3.15.0 -elyra-server==3.15.0; python_version >= '3.8' -entrypoints==0.4; python_version >= '3.6' -environs==9.5.0; python_version >= '3.6' -executing==2.0.1; python_version >= '3.5' -fastjsonschema==2.19.1 -filelock==3.13.4; python_version >= '3.8' -fire==0.6.0 -flake8==7.0.0 -flask==3.0.3; python_version >= '3.8' -flatbuffers==24.3.25 -fonttools==4.51.0; python_version >= '3.8' -fqdn==1.5.1 -frozenlist==1.4.1; python_version >= '3.8' -fsspec==2024.3.1; python_version >= '3.8' -gitdb==4.0.11; python_version >= '3.7' -gitpython==3.1.43; python_version >= '3.7' -google-api-core==2.18.0; python_version >= '3.7' -google-api-python-client==1.12.11; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -google-auth==2.29.0; python_version >= '3.7' -google-auth-httplib2==0.2.0 -google-cloud-core==2.4.1; python_version >= '3.7' -google-cloud-storage==2.16.0; python_version >= '3.7' -google-crc32c==1.5.0; python_version >= '3.7' -google-resumable-media==2.7.0; python_version >= '3.7' -googleapis-common-protos==1.63.0; python_version >= '3.7' -greenlet==3.0.3; platform_machine == 'aarch64' or (platform_machine == 'ppc64le' or (platform_machine == 'x86_64' or (platform_machine == 'amd64' or (platform_machine == 'AMD64' or (platform_machine == 'win32' or platform_machine == 'WIN32'))))) -grpcio==1.60.0; python_version >= '3.7' -gunicorn==21.2.0; python_version >= '3.5' -h11==0.14.0; python_version >= '3.7' -httpcore==1.0.5; python_version >= '3.8' -httplib2==0.22.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -httpx==0.27.0; python_version >= '3.8' -huggingface-hub==0.22.2; python_full_version >= '3.8.0' -humanfriendly==10.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -idna==3.7; python_version >= '3.5' -importlib-metadata==7.1.0; python_version >= '3.8' -ipykernel==6.29.4; python_version >= '3.8' -ipython==8.23.0; python_version >= '3.10' -ipython-genutils==0.2.0 -ipywidgets==8.1.2; python_version >= '3.7' -isodate==0.6.1 -isoduration==20.11.0 -isort==5.13.2; python_full_version >= '3.8.0' -itsdangerous==2.2.0; python_version >= '3.8' -jedi==0.19.1; python_version >= '3.6' -jinja2==3.1.3; python_version >= '3.7' -jmespath==1.0.1; python_version >= '3.7' -joblib==1.4.0; python_version >= '3.8' -json5==0.9.25; python_version >= '3.8' -jsonpatch==1.33; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6' -jsonpointer==2.4; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6' -jsonschema[format-nongpl]==4.21.1; python_version >= '3.8' -jsonschema-specifications==2023.12.1; python_version >= '3.8' -jupyter-bokeh==3.0.7; python_version >= '3.8' -jupyter-client==7.4.9; python_version >= '3.7' -jupyter-core==5.7.2; python_version >= '3.8' -jupyter-events==0.10.0; python_version >= '3.8' -jupyter-lsp==2.2.5; python_version >= '3.8' -jupyter-packaging==0.12.3; python_version >= '3.7' -jupyter-resource-usage==1.0.2; python_version >= '3.8' -jupyter-server==2.14.0; python_version >= '3.8' -jupyter-server-fileid==0.9.2; python_version >= '3.7' -jupyter-server-mathjax==0.2.6; python_version >= '3.7' -jupyter-server-proxy==4.1.2; python_version >= '3.8' -jupyter-server-terminals==0.5.3; python_version >= '3.8' -jupyter-server-ydoc==0.8.0; python_version >= '3.7' -jupyter-ydoc==0.2.5; python_version >= '3.7' -jupyterlab==3.6.7; python_version >= '3.7' -jupyterlab-git==0.44.0; python_version >= '3.7' -jupyterlab-lsp==4.3.0; python_version >= '3.8' -jupyterlab-pygments==0.3.0; python_version >= '3.8' -jupyterlab-server==2.26.0; python_version >= '3.8' -jupyterlab-widgets==3.0.10; python_version >= '3.7' -kfp==1.8.22; python_full_version >= '3.6.1' -kfp-pipeline-spec==0.1.16; python_full_version >= '3.7.0' -kfp-server-api==1.8.5 -kfp-tekton==1.5.10; python_full_version >= '3.6.1' -kiwisolver==1.4.5; python_version >= '3.7' -kubernetes==25.3.0; python_version >= '3.6' -langchain==0.1.12; python_version < '4.0' and python_full_version >= '3.8.1' -langchain-community==0.0.33; python_version < '4.0' and python_full_version >= '3.8.1' -langchain-core==0.1.44; python_version < '4.0' and python_full_version >= '3.8.1' -langchain-text-splitters==0.0.1; python_version < '4.0' and python_full_version >= '3.8.1' -langsmith==0.1.48; python_version < '4.0' and python_full_version >= '3.8.1' -markdown-it-py==3.0.0; python_version >= '3.8' -markupsafe==2.1.5; python_version >= '3.7' -marshmallow==3.21.1; python_version >= '3.8' -matplotlib==3.8.4; python_version >= '3.9' -matplotlib-inline==0.1.7; python_version >= '3.8' -mccabe==0.7.0 -mdurl==0.1.2; python_version >= '3.7' -minio==7.2.5 -mistune==3.0.2; python_version >= '3.7' -mpmath==1.3.0 -multidict==6.0.5; python_version >= '3.7' -mypy-extensions==1.0.0; python_version >= '3.5' -nbclassic==1.0.0; python_version >= '3.7' -nbclient==0.10.0; python_full_version >= '3.8.0' -nbconvert==7.16.3; python_version >= '3.8' -nbdime==3.2.1; python_version >= '3.6' -nbformat==5.10.4; python_version >= '3.8' -nest-asyncio==1.6.0; python_version >= '3.5' -networkx==3.3; python_version >= '3.10' -notebook==6.5.6; python_version >= '3.7' -notebook-shim==0.2.4; python_version >= '3.7' -numpy==1.26.4; python_version >= '3.9' -oauthlib==3.2.2; python_version >= '3.6' -onnx==1.15.0; python_version >= '3.8' -onnxruntime==1.17.3 -openai==1.14.1; python_full_version >= '3.7.1' -opencv-python-headless==4.9.0.80; python_version >= '3.6' -orjson==3.10.1; python_version >= '3.8' -overrides==7.7.0; python_version >= '3.6' -packaging==23.2; python_version >= '3.7' -pandas==2.2.2; python_version >= '3.9' -pandocfilters==1.5.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -papermill==2.5.0; python_version >= '3.8' -parso==0.8.4; python_version >= '3.6' -pathspec==0.12.1; python_version >= '3.8' -pexpect==4.9.0 -pillow==10.3.0; python_version >= '3.8' -pip==24.0; python_version >= '3.7' -platformdirs==4.2.0; python_version >= '3.8' -plotly==5.20.0; python_version >= '3.8' -pluggy==1.4.0; python_version >= '3.8' -prometheus-client==0.20.0; python_version >= '3.8' -prompt-toolkit==3.0.43; python_full_version >= '3.7.0' -proto-plus==1.23.0; python_version >= '3.6' -protobuf==3.20.3; python_version >= '3.7' -psutil==5.9.8; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5' -ptyprocess==0.7.0 -pure-eval==0.2.2 -py-cpuinfo==9.0.0 -pyarrow==15.0.2; python_version >= '3.8' -pyasn1==0.6.0; python_version >= '3.8' -pyasn1-modules==0.4.0; python_version >= '3.8' -pycodestyle==2.11.1; python_version >= '3.8' -pycparser==2.22; python_version >= '3.8' -pycryptodome==3.20.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -pydantic==1.10.15; python_version >= '3.7' -pydocstyle==6.3.0 -pyflakes==3.2.0 -pygithub==2.3.0; python_version >= '3.7' -pygments==2.17.2; python_version >= '3.7' -pyjwt[crypto]==2.8.0; python_version >= '3.7' -pylint==3.1.0 -pymilvus==2.3.7; python_version >= '3.8' -pynacl==1.5.0; python_version >= '3.6' -pyparsing==3.1.2; python_full_version >= '3.6.8' -python-dateutil==2.9.0.post0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -python-dotenv==1.0.1; python_version >= '3.8' -python-json-logger==2.0.7; python_version >= '3.6' -python-lsp-jsonrpc==1.1.2; python_version >= '3.8' -python-lsp-server[all]==1.11.0; python_version >= '3.8' -pytoolconfig[global]==1.3.1; python_version >= '3.8' -pytz==2024.1 -pyyaml==6.0.1; python_version >= '3.6' -pyzmq==24.0.1; python_version >= '3.6' -referencing==0.34.0; python_version >= '3.8' -regex==2024.4.16; python_version >= '3.7' -requests==2.31.0; python_version >= '3.7' -requests-oauthlib==2.0.0; python_version >= '3.4' -requests-toolbelt==0.10.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -rfc3339-validator==0.1.4; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -rfc3986-validator==0.1.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -rich==13.7.1; python_full_version >= '3.7.0' -rope==1.13.0 -rpds-py==0.18.0; python_version >= '3.8' -rsa==4.9; python_version >= '3.6' and python_version < '4' -s3transfer==0.10.1; python_version >= '3.8' -safetensors==0.4.3; python_version >= '3.7' -scikit-learn==1.4.2; python_version >= '3.9' -scipy==1.12.0; python_version >= '3.9' -seaborn==0.13.2; python_version >= '3.8' -send2trash==1.8.3; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5' -sentence-transformers==2.6.1; python_full_version >= '3.8.0' -setuptools==69.2.0; python_version >= '3.8' -shellingham==1.5.4; python_version >= '3.7' -simpervisor==1.0.0; python_version >= '3.8' -six==1.16.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -smmap==5.0.1; python_version >= '3.7' -sniffio==1.3.1; python_version >= '3.7' -snowballstemmer==2.2.0 -soupsieve==2.5; python_version >= '3.8' -sqlalchemy==2.0.29; python_version >= '3.7' -stack-data==0.6.3 -strip-hints==0.1.10 -sympy==1.12; python_version >= '3.8' -tabulate==0.9.0; python_version >= '3.7' -tenacity==8.2.3; python_version >= '3.7' -termcolor==2.3.0; python_version >= '3.7' -terminado==0.18.1; python_version >= '3.8' -text-generation==0.6.1; python_version >= '3.7' and python_version < '4.0' -thop==0.1.1.post2209072238 -threadpoolctl==3.4.0; python_version >= '3.8' -tinycss2==1.2.1; python_version >= '3.7' -tokenizers==0.19.1; python_version >= '3.7' -tomli==2.0.1; python_version >= '3.7' -tomlkit==0.12.4; python_version >= '3.7' -torch==2.2.2+cpu -torchvision==0.17.2; python_version >= '3.8' -tornado==6.4; python_version >= '3.8' -tqdm==4.66.2; python_version >= '3.7' -traitlets==5.14.2; python_version >= '3.8' -transformers==4.40.0; python_full_version >= '3.8.0' -typer==0.12.3; python_version >= '3.7' -types-python-dateutil==2.9.0.20240316; python_version >= '3.8' -typing-extensions==4.11.0; python_version >= '3.8' -typing-inspect==0.9.0 -tzdata==2024.1; python_version >= '2' -ujson==5.9.0; python_version >= '3.8' -ultralytics==8.1.47; python_version >= '3.8' -uri-template==1.3.0 -uritemplate==3.0.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -urllib3==1.26.18; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5' -watchdog==4.0.0; python_version >= '3.8' -wcwidth==0.2.13 -webcolors==1.13 -webencodings==0.5.1 -websocket-client==1.7.0; python_version >= '3.8' -werkzeug==3.0.2; python_version >= '3.8' -whatthepatch==1.0.5 -wheel==0.43.0; python_version >= '3.8' -widgetsnbextension==4.0.10; python_version >= '3.7' -wrapt==1.16.0; python_version >= '3.6' -xyzservices==2024.4.0; python_version >= '3.8' -y-py==0.6.2 -yapf==0.40.2 -yarl==1.9.4; python_version >= '3.7' -yaspin==3.0.2; python_version >= '3.9' and python_version < '4.0' -ypy-websocket==0.8.4; python_version >= '3.7' -zipp==3.18.1; python_version >= '3.8' diff --git a/lab-materials/05/05-05/.pipeline-envs b/lab-materials/05/05-05/.pipeline-envs deleted file mode 100644 index 0a23c8d0..00000000 --- a/lab-materials/05/05-05/.pipeline-envs +++ /dev/null @@ -1,8 +0,0 @@ -LLM_ENDPOINT=http://llm.ic-shared-llm.svc.cluster.local:8000 -POSTGRES_DB=claimdb -POSTGRES_USER=claimdb -POSTGRES_PASSWORD=claimdb -POSTGRES_PORT=5432 -DB_S3_ENDPOINT_URL=http://minio.ic-shared-minio.svc.cluster.local:9000 -DB_AWS_ACCESS_KEY_ID=minio -DB_AWS_SECRET_ACCESS_KEY=minio123 \ No newline at end of file diff --git a/lab-materials/05/05-05/Dockerfile b/lab-materials/05/05-05/Dockerfile deleted file mode 100644 index 1072bf2c..00000000 --- a/lab-materials/05/05-05/Dockerfile +++ /dev/null @@ -1,4 +0,0 @@ -FROM quay.io/modh/runtime-images@sha256:8b962c575adfdb46a9aa3e3fc30fdbe470d049b0ff69f68c5c9f950496ae26c5 - -COPY requirements.txt ./ -RUN pip install -r requirements.txt \ No newline at end of file diff --git a/lab-materials/05/05-05/db_utils.py b/lab-materials/05/05-05/db_utils.py deleted file mode 100644 index 529e2f19..00000000 --- a/lab-materials/05/05-05/db_utils.py +++ /dev/null @@ -1,458 +0,0 @@ -import psycopg2 -from psycopg2.extras import RealDictCursor -import sys -import logging - -class Database: - def __init__(self, config, logger): - self.logger = logger - self.conn = self.connect(config) - - def connect(self, config): - """ - Connect to the PostgreSQL database using the provided configuration and return the connection object. - - Args: - config (dict): A dictionary containing the configuration parameters for the database connection. - - Returns: - conn (psycopg2.extensions.connection): A connection object representing the database connection. - """ - self.logger.info(f"Connecting to PostgreSQL Database...") - # try: - conn = psycopg2.connect( - host = config["POSTGRES_HOST"], - dbname = config["POSTGRES_DB"], - user = config["POSTGRES_USER"], - password = config["POSTGRES_PASSWORD"], - port = config["POSTGRES_PORT"] - ) - self.logger.info(f"Connection successful!") - # except psycopg2.OperationalError as e: - # self.logger.info(f"Could not connect to Database: {e}") - - return conn - - def list_tables(self): - """ - Returns a list of table names in the 'claims' schema of the database. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - cur.execute("SELECT tablename from pg_catalog.pg_tables WHERE schemaname='claims';") - result = cur.fetchall() - self.conn.commit() - return result - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def list_claims(self): - """ - Returns a list of all claims in the database. - - Returns: - list: A list of dictionaries representing each claim, with keys 'id' and 'subject'. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - SELECT claims.id, claims.subject, claims.summary - FROM claims - ORDER BY claims.id - """ - cur.execute(query) - result = cur.fetchall() - self.conn.commit() - return result - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def list_claims_unprocessed(self): - """ - Returns a list of all claims in the database that have an empty summary. - - Returns: - list: A list of dictionaries representing each claim, with keys 'id' and 'subject'. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - SELECT claims.id, claims.subject - FROM claims - WHERE claims.summary IS NULL OR claims.summary = '' - """ - cur.execute(query) - result = cur.fetchall() - self.conn.commit() - return result - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def get_claim_base_info(self, claim_id): - """ - Retrieves base information about a claim from the database. - - Args: - claim_id (int): The ID of the claim to retrieve. - - Returns: - dict: A dictionary containing information about the claim, including its ID, subject, and summary. - - Example: - { - "id": 1, - "subject": "Car accident", - "summary": "I was involved in a car accident on the highway.", - } - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - SELECT claims.id, claims.subject, claims.summary - FROM claims WHERE claims.id = %s; - """ - cur.execute(query, (claim_id,)) - result = cur.fetchone() - self.conn.commit() - return result - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def get_claim_info(self, claim_id): - """ - Retrieves information about a claim from the database. - - Args: - claim_id (int): The ID of the claim to retrieve. - - Returns: - dict: A dictionary containing information about the claim, including its ID, subject, body, sentiment, and images. - - Example: - { - "id": 1, - "subject": "Car accident", - "body": "I was involved in a car accident on the highway.", - "sentiment": "positive", - "location": "New York", - "time": "2020-10-10 10:10:10", - "original_images": [ - {"image_name": "image1.jpg", "image_key": "key1"}, - {"image_name": "image2.jpg", "image_key": "key2"} - ], - "processed_images": [ - {"image_name": "image1.png", "image_key": "key1"}, - {"image_name": "image2.png", "image_key": "key2"} - ] - } - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - SELECT claims.id, claims.subject, claims.body, claims.sentiment, claims.summary, claims.location, claims.time, - (SELECT json_agg( - json_build_object('image_name',original_images.image_name,'image_key',original_images.image_key)) AS original_images - FROM original_images WHERE claim_id = claims.id - ), - (SELECT json_agg( - json_build_object('image_name',processed_images.image_name,'image_key',processed_images.image_key)) AS processed_images - FROM processed_images WHERE claim_id = claims.id - ) - FROM claims WHERE claims.id = %s; - """ - cur.execute(query, (claim_id,)) - result = cur.fetchone() - self.conn.commit() - return result - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def create_claim(self, subject, body): - """ - Creates a new claim in the database. - - Args: - subject (str): The subject of the claim. - body (str): The body of the claim. - - Returns: - int: The ID of the claim that was created. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - INSERT INTO claims (subject, body) VALUES (%s, %s) RETURNING id; - """ - cur.execute(query, (subject, body)) - result = cur.fetchone() - self.conn.commit() - return result["id"] - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def update_claim_summary(self, claim_id, summary): - """ - Updates the summary of a claim in the database. - - Args: - claim_id (int): The ID of the claim to update. - summary (str): The summary to update the claim with. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - UPDATE claims SET summary = %s WHERE id = %s; - """ - cur.execute(query, (summary, claim_id)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def update_claim_location(self, claim_id, location): - """ - Updates the location of a claim in the database. - - Args: - claim_id (int): The ID of the claim to update. - location (str): The location to update the claim with. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - UPDATE claims SET location = %s WHERE id = %s; - """ - cur.execute(query, (location, claim_id)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def update_claim_time(self, claim_id, time): - """ - Updates the time of a claim in the database. - - Args: - claim_id (int): The ID of the claim to update. - time (str): The time to update the claim with. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - UPDATE claims SET time = %s WHERE id = %s; - """ - cur.execute(query, (time, claim_id)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def update_claim_body(self, claim_id, body): - """ - Updates the body of a claim in the database. - - Args: - claim_id (int): The ID of the claim to update. - body (str): The body to update the claim with. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - UPDATE claims SET body = %s WHERE id = %s; - """ - cur.execute(query, (body, claim_id)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def update_claim_subject(self, claim_id, subject): - """ - Updates the subject of a claim in the database. - - Args: - claim_id (int): The ID of the claim to update. - subject (str): The subject to update the claim with. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - UPDATE claims SET subject = %s WHERE id = %s; - """ - cur.execute(query, (subject, claim_id)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def update_claim_sentiment(self, claim_id, sentiment): - """ - Updates the sentiment of a claim in the database. - - Args: - claim_id (int): The ID of the claim to update. - sentiment (str): The sentiment to update the claim with. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - UPDATE claims SET sentiment = %s WHERE id = %s; - """ - cur.execute(query, (sentiment, claim_id)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def delete_claim(self, claim_id): - """ - Deletes a claim from the database. - - Args: - claim_id (int): The ID of the claim to delete. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - DELETE FROM claims WHERE id = %s; - """ - cur.execute(query, (claim_id,)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def upload_original_image(self, claim_id, image_name, image_key): - """ - Creates a new original image in the database. - - Args: - claim_id (int): The ID of the claim the image belongs to. - image_name (str): The name of the image. - image_key (str): The key of the image. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - INSERT INTO original_images (claim_id, image_name, image_key) VALUES (%s, %s, %s); - """ - cur.execute(query, (claim_id, image_name, image_key)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def upload_processed_image(self, claim_id, image_name, image_key): - """ - Creates a new processed image in the database. - - Args: - claim_id (int): The ID of the claim the image belongs to. - image_name (str): The name of the image. - image_key (str): The key of the image. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - INSERT INTO processed_images (claim_id, image_name, image_key) VALUES (%s, %s, %s); - """ - cur.execute(query, (claim_id, image_name, image_key)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def delete_original_image(self, claim_id, image_key): - """ - Deletes an original image from the database. - - Args: - claim_id (int): The ID of the claim the image belongs to. - image_key (str): The key of the image. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - DELETE FROM original_images WHERE claim_id = %s AND image_key = %s; - """ - cur.execute(query, (claim_id, image_key)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - - def delete_processed_image(self, claim_id, image_key): - """ - Deletes a processed image from the database. - - Args: - claim_id (int): The ID of the claim the image belongs to. - image_key (str): The key of the image. - """ - cur = self.conn.cursor(cursor_factory=RealDictCursor) - try: - query = """ - SET schema 'claims'; - DELETE FROM processed_images WHERE claim_id = %s AND image_key = %s; - """ - cur.execute(query, (claim_id, image_key)) - self.conn.commit() - except Exception as e: - self.conn.rollback() - raise e - finally: - cur.close() - diff --git a/lab-materials/05/05-05/detect_objects.py b/lab-materials/05/05-05/detect_objects.py deleted file mode 100644 index c802798a..00000000 --- a/lab-materials/05/05-05/detect_objects.py +++ /dev/null @@ -1,111 +0,0 @@ -import os -import requests -import json -import time -import hashlib - -import logging -import boto3 -from dotenv import dotenv_values, load_dotenv - -from process_image import process_image -import db_utils - -# Initialize logger -logger = logging.getLogger("app") - -# Get config -config = { - **dotenv_values(".env"), # load shared development variables - **dotenv_values(".env.secret"), # load sensitive variables - **os.environ, # override loaded values with environment variables - **dotenv_values(".pipeline-envs"), # load pipeline-specific vars -} - -db = db_utils.Database(config, logger) - -s3 = boto3.client( - 's3', - endpoint_url=config["DB_S3_ENDPOINT_URL"], - aws_access_key_id=config["DB_AWS_ACCESS_KEY_ID"], - aws_secret_access_key=config["DB_AWS_SECRET_ACCESS_KEY"], - use_ssl=config["LLM_ENDPOINT"].startswith("https"),) - -detection_endpoint = os.environ.get("detection_endpoint") - -def download_images(claim_id): - claim_info = db.get_claim_info(claim_id) - images = claim_info["original_images"] - - downloaded_images = [] - failed_downloads = [] - - if not images: - return None - - for image in images: - image_name = image["image_name"] - image_key = image["image_key"] - - image = s3.get_object(Bucket=config["IMAGES_BUCKET"], Key=image_key) - image_content = image["Body"].read() - - with open(f"{image_name}", 'wb') as file: - file.write(image_content) - - downloaded_images.append(image_name) - - if failed_downloads: - raise Exception(f"Not all images were downloaded. Successfully downloaded these: {downloaded_images}\nFailed to download these: {failed_downloads}") - - return downloaded_images - -def upload_image(claim_id, image): - filename = os.path.basename(image) - timestamp = int(time.time()) - sha256_hash = hashlib.sha256(filename.encode()).hexdigest() - image_key = f"processed_images/{claim_id}_{timestamp}_{sha256_hash[:8]}_{filename}" - # Upload the image to S3 - s3.put_object( - Bucket=config["IMAGES_BUCKET"], - Key=image_key, - Body=open(image, 'rb'), - ) - # Save image info to DB - db.upload_processed_image(claim_id, filename, image_key) - -def upload_images(claim_id, images): - for image in images: - upload_image(claim_id, image) - # files = {'image': (image, open(image, 'rb'), 'image/jpeg')} - # response = requests.post(upload_endpoint, files=files) - -def process_images(images): - processed_images = [] - for image in images: - processed_image = process_image(image, detection_endpoint) - processed_images.append(processed_image) - return processed_images - -def detect_objects(claim_id = None): - claim_id = claim_id or int(os.environ.get("claim_id")) - - downloaded_images = download_images(claim_id) - if not downloaded_images: - print(f"skipping claim {claim_id} as there were no images attached") - return - processed_images = process_images(downloaded_images) - upload_images(claim_id, processed_images) - -def batch_detect_objects(claim_ids = None): - if not claim_ids: - with open('claims.json') as f: - claim_ids = json.load(f)["claim_ids"] - - print(f"processing claims: {claim_ids}") - - for claim_id in claim_ids: - detect_objects(claim_id) - -if __name__ == '__main__': - batch_detect_objects() \ No newline at end of file diff --git a/lab-materials/05/05-05/get_accident_time.py b/lab-materials/05/05-05/get_accident_time.py deleted file mode 100644 index 63a4ab41..00000000 --- a/lab-materials/05/05-05/get_accident_time.py +++ /dev/null @@ -1,50 +0,0 @@ -import requests -import os -import json - -import logging -from dotenv import dotenv_values, load_dotenv - -from llm_usage import infer_with_template -import db_utils - -# Initialize logger -logger = logging.getLogger("app") - -# Get config -config = { - **dotenv_values(".env"), # load shared development variables - **dotenv_values(".env.secret"), # load sensitive variables - **os.environ, # override loaded values with environment variables - **dotenv_values(".pipeline-envs"), # load pipeline-specific vars -} - -db = db_utils.Database(config, logger) - -def upload_accident_time(claim_id, accident_time): - db.update_claim_time(claim_id, accident_time) - -def get_accident_time(claim_id = None): - claim_info = db.get_claim_info(claim_id) - claim_body = claim_info["body"] - - with open('templates/time_template.txt') as f: - template = f.read() - - accident_time = infer_with_template(claim_body, template) - print(accident_time) - upload_accident_time(claim_id, accident_time) - - -def batch_get_accident_time(claim_ids = None): - if not claim_ids: - with open('claims.json') as f: - claim_ids = json.load(f)["claim_ids"] - - print(f"processing claims: {claim_ids}") - - for claim_id in claim_ids: - get_accident_time(claim_id) - -if __name__ == '__main__': - sentiment = batch_get_accident_time() \ No newline at end of file diff --git a/lab-materials/05/05-05/get_claims.py b/lab-materials/05/05-05/get_claims.py deleted file mode 100644 index c016a800..00000000 --- a/lab-materials/05/05-05/get_claims.py +++ /dev/null @@ -1,50 +0,0 @@ -import os -import requests -import json - -import logging -from dotenv import dotenv_values, load_dotenv - -import db_utils - -# Initialize logger -logger = logging.getLogger("app") - -# Get config -config = { - **dotenv_values(".env"), # load shared development variables - **dotenv_values(".env.secret"), # load sensitive variables - **os.environ, # override loaded values with environment variables - **dotenv_values(".pipeline-envs"), # load pipeline-specific vars -} - -db = db_utils.Database(config, logger) - -def get_unprocessed_claims(): - claims_info = db.list_claims() - - unprocessed_list = [] - for claim in claims_info: - if not claim["summary"]: - unprocessed_list.append(claim["id"]) - print(f"Found unprocessed claims: {unprocessed_list}") - return unprocessed_list - -def get_claims(claim_ids=None): - claim_ids = claim_ids or int(os.environ.get("claim_id")) - - if not claim_ids: - claim_ids = get_unprocessed_claims() - else: - claim_ids = [claim_ids] - - with open('claims.json', 'w') as f: - json.dump({ - "claim_ids": claim_ids, - }, f) - - print(f"Will process claims: {claim_ids}") - return claim_ids - -if __name__ == '__main__': - get_claims() \ No newline at end of file diff --git a/lab-materials/05/05-05/get_location.py b/lab-materials/05/05-05/get_location.py deleted file mode 100644 index 65648a75..00000000 --- a/lab-materials/05/05-05/get_location.py +++ /dev/null @@ -1,50 +0,0 @@ -import requests -import os -import json - -import logging -from dotenv import dotenv_values, load_dotenv - -from llm_usage import infer_with_template -import db_utils - -# Initialize logger -logger = logging.getLogger("app") - -# Get config -config = { - **dotenv_values(".env"), # load shared development variables - **dotenv_values(".env.secret"), # load sensitive variables - **os.environ, # override loaded values with environment variables - **dotenv_values(".pipeline-envs"), # load pipeline-specific vars -} - -db = db_utils.Database(config, logger) - -def upload_location(claim_id, location): - db.update_claim_location(claim_id, location) - -def get_location(claim_id = None): - claim_info = db.get_claim_info(claim_id) - claim_body = claim_info["body"] - - with open('templates/location_template.txt') as f: - template = f.read() - - location = infer_with_template(claim_body, template) - print(location) - upload_location(claim_id, location) - - -def batch_get_location(claim_ids = None): - if not claim_ids: - with open('claims.json') as f: - claim_ids = json.load(f)["claim_ids"] - - print(f"processing claims: {claim_ids}") - - for claim_id in claim_ids: - get_location(claim_id) - -if __name__ == '__main__': - location = batch_get_location() \ No newline at end of file diff --git a/lab-materials/05/05-05/get_sentiment.py b/lab-materials/05/05-05/get_sentiment.py deleted file mode 100644 index 892d5605..00000000 --- a/lab-materials/05/05-05/get_sentiment.py +++ /dev/null @@ -1,50 +0,0 @@ -import requests -import os -import json - -import logging -from dotenv import dotenv_values, load_dotenv - -from llm_usage import infer_with_template -import db_utils - -# Initialize logger -logger = logging.getLogger("app") - -# Get config -config = { - **dotenv_values(".env"), # load shared development variables - **dotenv_values(".env.secret"), # load sensitive variables - **os.environ, # override loaded values with environment variables - **dotenv_values(".pipeline-envs"), # load pipeline-specific vars -} - -db = db_utils.Database(config, logger) - -def upload_sentiment(claim_id, sentiment): - db.update_claim_sentiment(claim_id, sentiment) - -def get_claim_sentiment(claim_id = None): - claim_info = db.get_claim_info(claim_id) - claim_body = claim_info["body"] - - with open('templates/sentiment_template.txt') as f: - template = f.read() - - sentiment = infer_with_template(claim_body, template) - print(sentiment) - upload_sentiment(claim_id, sentiment) - - -def batch_get_claim_sentiment(claim_ids = None): - if not claim_ids: - with open('claims.json') as f: - claim_ids = json.load(f)["claim_ids"] - - print(f"processing claims: {claim_ids}") - - for claim_id in claim_ids: - get_claim_sentiment(claim_id) - -if __name__ == '__main__': - sentiment = batch_get_claim_sentiment() \ No newline at end of file diff --git a/lab-materials/05/05-05/llm_usage.py b/lab-materials/05/05-05/llm_usage.py deleted file mode 100644 index a01bb109..00000000 --- a/lab-materials/05/05-05/llm_usage.py +++ /dev/null @@ -1,39 +0,0 @@ -import os - -from langchain.llms import VLLMOpenAI -from langchain.chains.combine_documents.stuff import StuffDocumentsChain -from langchain.chains import LLMChain -from langchain.prompts import PromptTemplate -from langchain.evaluation import load_evaluator -from langchain.embeddings import HuggingFaceEmbeddings - -INFERENCE_SERVER_URL = "http://llm.ic-shared-llm.svc.cluster.local:8000" -MAX_NEW_TOKENS = 512 -TOP_P = 0.95 -TEMPERATURE = 0.01 -PRESENCE_PENALTY = 1.03 - -def infer_with_template(input_text, template): - llm = VLLMOpenAI( - openai_api_key="EMPTY", - openai_api_base= f"{INFERENCE_SERVER_URL}/v1", - model_name="mistralai/Mistral-7B-Instruct-v0.2", - max_tokens=MAX_NEW_TOKENS, - top_p=TOP_P, - temperature=TEMPERATURE, - presence_penalty=PRESENCE_PENALTY, - streaming=False, - verbose=False, - ) - - PROMPT = PromptTemplate.from_template(template) - - llm_chain = LLMChain(llm=llm, prompt=PROMPT) - - return llm_chain.run(input_text) - -def similarity_metric(predicted_text, reference_text): - embedding_model = HuggingFaceEmbeddings() - evaluator = load_evaluator("embedding_distance", embeddings=embedding_model) - distance_score = evaluator.evaluate_strings(prediction=predicted_text, reference=reference_text) - return 1-distance_score["score"] \ No newline at end of file diff --git a/lab-materials/05/05-05/process_claims.pipeline b/lab-materials/05/05-05/process_claims.pipeline deleted file mode 100644 index da8c4c13..00000000 --- a/lab-materials/05/05-05/process_claims.pipeline +++ /dev/null @@ -1,463 +0,0 @@ -{ - 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'{"run-a-file": [["mlpipeline-metrics", "/tmp/mlpipeline-metrics.json"], - ["mlpipeline-ui-metadata", "/tmp/mlpipeline-ui-metadata.json"]], "run-a-file-2": - [["mlpipeline-metrics", "/tmp/mlpipeline-metrics.json"], ["mlpipeline-ui-metadata", - "/tmp/mlpipeline-ui-metadata.json"]], "run-a-file-3": [["mlpipeline-metrics", - "/tmp/mlpipeline-metrics.json"], ["mlpipeline-ui-metadata", "/tmp/mlpipeline-ui-metadata.json"]], - "run-a-file-4": [["mlpipeline-metrics", "/tmp/mlpipeline-metrics.json"], ["mlpipeline-ui-metadata", - "/tmp/mlpipeline-ui-metadata.json"]], "run-a-file-5": [["mlpipeline-metrics", - "/tmp/mlpipeline-metrics.json"], ["mlpipeline-ui-metadata", "/tmp/mlpipeline-ui-metadata.json"]], - "run-a-file-6": [["mlpipeline-metrics", "/tmp/mlpipeline-metrics.json"], ["mlpipeline-ui-metadata", - "/tmp/mlpipeline-ui-metadata.json"]]}' - sidecar.istio.io/inject: "false" - tekton.dev/template: '' - pipelines.kubeflow.org/big_data_passing_format: $(workspaces.$TASK_NAME.path)/artifacts/$ORIG_PR_NAME/$TASKRUN_NAME/$TASK_PARAM_NAME - pipelines.kubeflow.org/pipeline_spec: '{"inputs": [{"default": "0", "name": "claim_id", - "optional": true, "type": "Integer"}, {"default": "https://your-endpoint", "name": - "detection_endpoint", "optional": true, "type": "String"}], "name": "process_claims"}' - labels: - pipelines.kubeflow.org/pipelinename: '' - pipelines.kubeflow.org/generation: '' -spec: - params: - - name: claim_id - value: '0' - - name: detection_endpoint - value: https://your-endpoint - pipelineSpec: - params: - - name: claim_id - default: '0' - - name: detection_endpoint - default: https://your-endpoint - tasks: - - name: initialize - taskSpec: - steps: - - name: main - args: - - | - cd /shared-data - rm -r * - git clone https://github.com/rh-aiservices-bu/parasol-insurance - cd parasol-insurance - git checkout dev - ls - command: - - sh - - -c - env: - - name: AWS_ACCESS_KEY_ID - valueFrom: - secretKeyRef: - key: AWS_ACCESS_KEY_ID - name: aws-connection-shared-minio---pipelines - - name: AWS_SECRET_ACCESS_KEY - valueFrom: - secretKeyRef: - key: AWS_SECRET_ACCESS_KEY - name: aws-connection-shared-minio---pipelines - - name: ELYRA_RUNTIME_ENV - value: kfp - - name: ELYRA_ENABLE_PIPELINE_INFO - value: "True" - - name: ELYRA_WRITABLE_CONTAINER_DIR - value: /tmp - - name: ELYRA_RUN_NAME - valueFrom: - fieldRef: - fieldPath: metadata.annotations['pipelines.kubeflow.org/run_name'] - image: quay.io/rh-aiservices-bu/rhoai-lab-insurance-claim-processing-pipeline:1.1 - volumeMounts: - - mountPath: /shared-data - name: processing-pipeline-storage - readOnly: false - stepTemplate: - volumeMounts: - - name: mlpipeline-metrics - mountPath: /tmp - volumes: - - name: mlpipeline-metrics - emptyDir: {} - - name: processing-pipeline-storage - persistentVolumeClaim: - claimName: processing-pipeline-storage - metadata: - labels: - elyra/node-type: notebook-script - elyra/pipeline-name: process_claims - elyra/pipeline-version: '' - elyra/experiment-name: '' - elyra/node-name: initialize - pipelines.kubeflow.org/cache_enabled: "true" - annotations: - elyra/node-file-name: parasol-insurance/lab-materials/05/05-05/initialize.py - elyra/pipeline-source: process_claims.pipeline - pipelines.kubeflow.org/task_display_name: initialize - pipelines.kubeflow.org/component_spec_digest: '{"name": "Run a file", - "outputs": [], "version": "Run a file@sha256=3889d6b450d7892186c111f69a758dd2d7928e45f350a7fb00f8229314150432"}' - - name: get-claims - params: - - name: claim_id - value: $(params.claim_id) - taskSpec: - steps: - - name: main - args: - - | - claim_id="$0" - export claim_id=$claim_id - cd /shared-data - cd parasol-insurance/lab-materials/05/05-05 - python get_claims.py - ls - - $(inputs.params.claim_id) - command: - - sh - - -c - env: - - name: AWS_ACCESS_KEY_ID - valueFrom: - secretKeyRef: - key: AWS_ACCESS_KEY_ID - name: aws-connection-shared-minio---pipelines - - name: AWS_SECRET_ACCESS_KEY - valueFrom: - secretKeyRef: - key: AWS_SECRET_ACCESS_KEY - name: aws-connection-shared-minio---pipelines - - name: ELYRA_RUNTIME_ENV - value: kfp - - name: ELYRA_ENABLE_PIPELINE_INFO - value: "True" - - name: ELYRA_WRITABLE_CONTAINER_DIR - value: /tmp - - name: ELYRA_RUN_NAME - valueFrom: - fieldRef: - fieldPath: metadata.annotations['pipelines.kubeflow.org/run_name'] - - name: NAMESPACE - valueFrom: - fieldRef: - fieldPath: metadata.namespace - - name: POSTGRES_HOST - value: claimdb.$(NAMESPACE).svc.cluster.local - image: quay.io/rh-aiservices-bu/rhoai-lab-insurance-claim-processing-pipeline:1.1 - volumeMounts: - - mountPath: /shared-data - name: processing-pipeline-storage - readOnly: false - params: - - name: claim_id - stepTemplate: - volumeMounts: - - name: mlpipeline-metrics - mountPath: /tmp - volumes: - - name: mlpipeline-metrics - emptyDir: {} - - name: processing-pipeline-storage - persistentVolumeClaim: - claimName: processing-pipeline-storage - metadata: - labels: - elyra/node-type: notebook-script - elyra/pipeline-name: process_claims - elyra/pipeline-version: '' - elyra/experiment-name: '' - elyra/node-name: get_claims - pipelines.kubeflow.org/cache_enabled: "true" - annotations: - elyra/node-file-name: parasol-insurance/lab-materials/05/05-05/get_claims.py - elyra/pipeline-source: process_claims.pipeline - pipelines.kubeflow.org/task_display_name: get_claims - pipelines.kubeflow.org/component_spec_digest: '{"name": "Run a file", - "outputs": [], "version": "Run a file@sha256=3889d6b450d7892186c111f69a758dd2d7928e45f350a7fb00f8229314150432"}' - runAfter: - - initialize - - name: get-accident-time - taskSpec: - steps: - - name: main - args: - - | - cd /shared-data - cd parasol-insurance/lab-materials/05/05-05 - python get_accident_time.py - command: - - sh - - -c - env: - - name: AWS_ACCESS_KEY_ID - valueFrom: - secretKeyRef: - key: AWS_ACCESS_KEY_ID - name: aws-connection-shared-minio---pipelines - - name: AWS_SECRET_ACCESS_KEY - valueFrom: - secretKeyRef: - key: AWS_SECRET_ACCESS_KEY - name: aws-connection-shared-minio---pipelines - - name: ELYRA_RUNTIME_ENV - value: kfp - - name: ELYRA_ENABLE_PIPELINE_INFO - value: "True" - - name: ELYRA_WRITABLE_CONTAINER_DIR - value: /tmp - - name: ELYRA_RUN_NAME - valueFrom: - fieldRef: - fieldPath: metadata.annotations['pipelines.kubeflow.org/run_name'] - - name: NAMESPACE - valueFrom: - fieldRef: - fieldPath: metadata.namespace - - name: POSTGRES_HOST - value: claimdb.$(NAMESPACE).svc.cluster.local - image: quay.io/rh-aiservices-bu/rhoai-lab-insurance-claim-processing-pipeline:1.1 - volumeMounts: - - mountPath: /shared-data - name: processing-pipeline-storage - readOnly: false - stepTemplate: - volumeMounts: - - name: mlpipeline-metrics - mountPath: /tmp - volumes: - - name: mlpipeline-metrics - emptyDir: {} - - name: processing-pipeline-storage - persistentVolumeClaim: - claimName: processing-pipeline-storage - metadata: - labels: - elyra/node-type: notebook-script - elyra/pipeline-name: process_claims - elyra/pipeline-version: '' - elyra/experiment-name: '' - elyra/node-name: get_accident_time - pipelines.kubeflow.org/cache_enabled: "true" - annotations: - elyra/node-file-name: parasol-insurance/lab-materials/05/05-05/get_accident_time.py - elyra/pipeline-source: process_claims.pipeline - pipelines.kubeflow.org/task_display_name: get_accident_time - pipelines.kubeflow.org/component_spec_digest: '{"name": "Run a file", - "outputs": [], "version": "Run a file@sha256=da07fb04c1e95b2900f6c50973b0dac8bba94da0e31e927025c89506a70411e7"}' - runAfter: - - get-claims - - name: get-location - taskSpec: - steps: - - name: main - args: - - | - cd /shared-data - cd parasol-insurance/lab-materials/05/05-05 - python get_location.py - command: - - sh - - -c - env: - - name: AWS_ACCESS_KEY_ID - valueFrom: - secretKeyRef: - key: AWS_ACCESS_KEY_ID - name: aws-connection-shared-minio---pipelines - - name: AWS_SECRET_ACCESS_KEY - valueFrom: - secretKeyRef: - key: AWS_SECRET_ACCESS_KEY - name: aws-connection-shared-minio---pipelines - - name: ELYRA_RUNTIME_ENV - value: kfp - - name: ELYRA_ENABLE_PIPELINE_INFO - value: "True" - - name: ELYRA_WRITABLE_CONTAINER_DIR - value: /tmp - - name: ELYRA_RUN_NAME - valueFrom: - fieldRef: - fieldPath: metadata.annotations['pipelines.kubeflow.org/run_name'] - - name: NAMESPACE - valueFrom: - fieldRef: - fieldPath: metadata.namespace - - name: POSTGRES_HOST - value: claimdb.$(NAMESPACE).svc.cluster.local - image: quay.io/rh-aiservices-bu/rhoai-lab-insurance-claim-processing-pipeline:1.1 - volumeMounts: - - mountPath: /shared-data - name: processing-pipeline-storage - readOnly: false - stepTemplate: - volumeMounts: - - name: mlpipeline-metrics - mountPath: /tmp - volumes: - - name: mlpipeline-metrics - emptyDir: {} - - name: processing-pipeline-storage - persistentVolumeClaim: - claimName: processing-pipeline-storage - metadata: - labels: - elyra/node-type: notebook-script - elyra/pipeline-name: process_claims - elyra/pipeline-version: '' - elyra/experiment-name: '' - elyra/node-name: get_location - pipelines.kubeflow.org/cache_enabled: "true" - annotations: - elyra/node-file-name: parasol-insurance/lab-materials/05/05-05/get_location.py - elyra/pipeline-source: process_claims.pipeline - pipelines.kubeflow.org/task_display_name: get_location - pipelines.kubeflow.org/component_spec_digest: '{"name": "Run a file", - "outputs": [], "version": "Run a file@sha256=0c1606205c836ad73d75f89b44bff3163cbbe9b7c3171334eb5688a5f13f6a4a"}' - runAfter: - - get-claims - - name: get-sentiment - taskSpec: - steps: - - name: main - args: - - | - cd /shared-data - cd parasol-insurance/lab-materials/05/05-05 - python get_sentiment.py - command: - - sh - - -c - env: - - name: AWS_ACCESS_KEY_ID - valueFrom: - secretKeyRef: - key: AWS_ACCESS_KEY_ID - name: aws-connection-shared-minio---pipelines - - name: AWS_SECRET_ACCESS_KEY - valueFrom: - secretKeyRef: - key: AWS_SECRET_ACCESS_KEY - name: aws-connection-shared-minio---pipelines - - name: ELYRA_RUNTIME_ENV - value: kfp - - name: ELYRA_ENABLE_PIPELINE_INFO - value: "True" - - name: ELYRA_WRITABLE_CONTAINER_DIR - value: /tmp - - name: ELYRA_RUN_NAME - valueFrom: - fieldRef: - fieldPath: metadata.annotations['pipelines.kubeflow.org/run_name'] - - name: NAMESPACE - valueFrom: - fieldRef: - fieldPath: metadata.namespace - - name: POSTGRES_HOST - value: claimdb.$(NAMESPACE).svc.cluster.local - image: quay.io/rh-aiservices-bu/rhoai-lab-insurance-claim-processing-pipeline:1.1 - volumeMounts: - - mountPath: /shared-data - name: processing-pipeline-storage - readOnly: false - stepTemplate: - volumeMounts: - - name: mlpipeline-metrics - mountPath: /tmp - volumes: - - name: mlpipeline-metrics - emptyDir: {} - - name: processing-pipeline-storage - persistentVolumeClaim: - claimName: processing-pipeline-storage - metadata: - labels: - elyra/node-type: notebook-script - elyra/pipeline-name: process_claims - elyra/pipeline-version: '' - elyra/experiment-name: '' - elyra/node-name: get_sentiment - pipelines.kubeflow.org/cache_enabled: "true" - annotations: - elyra/node-file-name: parasol-insurance/lab-materials/05/05-05/get_sentiment.py - elyra/pipeline-source: process_claims.pipeline - pipelines.kubeflow.org/task_display_name: get_sentiment - pipelines.kubeflow.org/component_spec_digest: '{"name": "Run a file", - "outputs": [], "version": "Run a file@sha256=a0516303ea38bb88d586b2c791cb59e60f547cbc6aed3bd000d925a7821b2bfa"}' - runAfter: - - get-claims - - name: detect-objects - params: - - name: detection_endpoint - value: $(params.detection_endpoint) - taskSpec: - steps: - - name: main - args: - - | - detection_endpoint="$0" - export detection_endpoint=$detection_endpoint - cd /shared-data - cd parasol-insurance/lab-materials/05/05-05 - python detect_objects.py - - $(inputs.params.detection_endpoint) - command: - - sh - - -c - env: - - name: AWS_ACCESS_KEY_ID - valueFrom: - secretKeyRef: - key: AWS_ACCESS_KEY_ID - name: aws-connection-shared-minio---pipelines - - name: AWS_SECRET_ACCESS_KEY - valueFrom: - secretKeyRef: - key: AWS_SECRET_ACCESS_KEY - name: aws-connection-shared-minio---pipelines - - name: ELYRA_RUNTIME_ENV - value: kfp - - name: ELYRA_ENABLE_PIPELINE_INFO - value: "True" - - name: ELYRA_WRITABLE_CONTAINER_DIR - value: /tmp - - name: ELYRA_RUN_NAME - valueFrom: - fieldRef: - fieldPath: metadata.annotations['pipelines.kubeflow.org/run_name'] - - name: NAMESPACE - valueFrom: - fieldRef: - fieldPath: metadata.namespace - - name: POSTGRES_HOST - value: claimdb.$(NAMESPACE).svc.cluster.local - - name: IMAGES_BUCKET - value: $(NAMESPACE) - image: quay.io/rh-aiservices-bu/rhoai-lab-insurance-claim-processing-pipeline:1.1 - volumeMounts: - - mountPath: /shared-data - name: processing-pipeline-storage - readOnly: false - params: - - name: detection_endpoint - stepTemplate: - volumeMounts: - - name: mlpipeline-metrics - mountPath: /tmp - volumes: - - name: mlpipeline-metrics - emptyDir: {} - - name: processing-pipeline-storage - persistentVolumeClaim: - claimName: processing-pipeline-storage - metadata: - labels: - elyra/node-type: notebook-script - elyra/pipeline-name: process_claims - elyra/pipeline-version: '' - elyra/experiment-name: '' - elyra/node-name: detect_objects - pipelines.kubeflow.org/cache_enabled: "true" - annotations: - elyra/node-file-name: parasol-insurance/lab-materials/05/05-05/detect_objects.py - elyra/pipeline-source: process_claims.pipeline - pipelines.kubeflow.org/task_display_name: detect_objects - pipelines.kubeflow.org/component_spec_digest: '{"name": "Run a file", - "outputs": [], "version": "Run a file@sha256=97bb4511ba9be4acba71bc51de5bde38d838b73e69cbb1cb8e2a6b28952537fd"}' - runAfter: - - get-claims - - name: summarize-text - taskSpec: - steps: - - name: main - args: - - | - cd /shared-data - cd parasol-insurance/lab-materials/05/05-05 - python summarize_text.py - command: - - sh - - -c - env: - - name: AWS_ACCESS_KEY_ID - valueFrom: - secretKeyRef: - key: AWS_ACCESS_KEY_ID - name: aws-connection-shared-minio---pipelines - - name: AWS_SECRET_ACCESS_KEY - valueFrom: - secretKeyRef: - key: AWS_SECRET_ACCESS_KEY - name: aws-connection-shared-minio---pipelines - - name: ELYRA_RUNTIME_ENV - value: kfp - - name: ELYRA_ENABLE_PIPELINE_INFO - value: "True" - - name: ELYRA_WRITABLE_CONTAINER_DIR - value: /tmp - - name: ELYRA_RUN_NAME - valueFrom: - fieldRef: - fieldPath: metadata.annotations['pipelines.kubeflow.org/run_name'] - - name: NAMESPACE - valueFrom: - fieldRef: - fieldPath: metadata.namespace - - name: POSTGRES_HOST - value: claimdb.$(NAMESPACE).svc.cluster.local - image: quay.io/rh-aiservices-bu/rhoai-lab-insurance-claim-processing-pipeline:1.1 - volumeMounts: - - mountPath: /shared-data - name: processing-pipeline-storage - readOnly: false - stepTemplate: - volumeMounts: - - name: mlpipeline-metrics - mountPath: /tmp - volumes: - - name: mlpipeline-metrics - emptyDir: {} - - name: processing-pipeline-storage - persistentVolumeClaim: - claimName: processing-pipeline-storage - metadata: - labels: - elyra/node-type: notebook-script - elyra/pipeline-name: process_claims - elyra/pipeline-version: '' - elyra/experiment-name: '' - elyra/node-name: summarize_text - pipelines.kubeflow.org/cache_enabled: "true" - annotations: - elyra/node-file-name: parasol-insurance/lab-materials/05/05-05/summarize_text.py - elyra/pipeline-source: process_claims.pipeline - pipelines.kubeflow.org/task_display_name: summarize_text - pipelines.kubeflow.org/component_spec_digest: '{"name": "Run a file", - "outputs": [], "version": "Run a file@sha256=8ace3a6f7e6e8f14b8102c388a305026254f0dd18c0630eada6a0ba347dda20e"}' - runAfter: - - get-claims diff --git a/lab-materials/05/05-05/process_image.py b/lab-materials/05/05-05/process_image.py deleted file mode 100644 index 05185a3e..00000000 --- a/lab-materials/05/05-05/process_image.py +++ /dev/null @@ -1,139 +0,0 @@ -import os -import requests -from pathlib import Path - -import cv2.dnn -import numpy as np - -CLASSES = { - 0: "moderate", - 1: "severe" -} -colors = np.random.uniform(0, 255, size=(len(CLASSES), 3)) - -def preprocess(image_path): - original_image: np.ndarray = cv2.imread(image_path) - [height, width, _] = original_image.shape - - # Prepare a square image for inference - length = max((height, width)) - image = np.zeros((length, length, 3), np.uint8) - image[0:height, 0:width] = original_image - - # Calculate scale factor - scale = length / 640 - - # Preprocess the image and prepare blob for model - blob = cv2.dnn.blobFromImage(image, scalefactor=1 / 255, size=(640, 640), swapRB=True) - return blob, scale, original_image - -def draw_bounding_box(img, class_id, confidence, x, y, x_plus_w, y_plus_h): - """ - Draws bounding boxes on the input image based on the provided arguments. - - Args: - img (numpy.ndarray): The input image to draw the bounding box on. - class_id (int): Class ID of the detected object. - confidence (float): Confidence score of the detected object. - x (int): X-coordinate of the top-left corner of the bounding box. - y (int): Y-coordinate of the top-left corner of the bounding box. - x_plus_w (int): X-coordinate of the bottom-right corner of the bounding box. - y_plus_h (int): Y-coordinate of the bottom-right corner of the bounding box. - """ - label = f'{CLASSES[class_id]} ({confidence:.2f})' - color = colors[class_id] - cv2.rectangle(img, (x, y), (x_plus_w, y_plus_h), color, 2) - cv2.putText(img, label, (x - 10, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 2) - -def postprocess(response, scale, original_image): - outputs = np.array([cv2.transpose(response[0])]) - rows = outputs.shape[1] - - boxes = [] - scores = [] - class_ids = [] - - # Iterate through output to collect bounding boxes, confidence scores, and class IDs - for i in range(rows): - classes_scores = outputs[0][i][4:] - (minScore, maxScore, minClassLoc, (x, maxClassIndex)) = cv2.minMaxLoc(classes_scores) - if maxScore >= 0.25: - box = [ - outputs[0][i][0] - (0.5 * outputs[0][i][2]), outputs[0][i][1] - (0.5 * outputs[0][i][3]), - outputs[0][i][2], outputs[0][i][3]] - boxes.append(box) - scores.append(maxScore) - class_ids.append(maxClassIndex) - result_boxes = cv2.dnn.NMSBoxes(boxes, scores, 0.25, 0.45, 0.5) - - detections = [] - - # Iterate through NMS results to draw bounding boxes and labels - for i in range(len(result_boxes)): - index = result_boxes[i] - box = boxes[index] - detection = { - 'class_id': class_ids[index], - 'class_name': CLASSES[class_ids[index]], - 'confidence': scores[index], - 'box': box, - 'scale': scale} - detections.append(detection) - draw_bounding_box(original_image, class_ids[index], scores[index], round(box[0] * scale), round(box[1] * scale), - round((box[0] + box[2]) * scale), round((box[1] + box[3]) * scale)) - return original_image - -def _serialize(image): - payload = { - 'inputs': [ - { - 'name': 'images', - 'shape': [1, 3, 640, 640], - 'datatype': 'FP32', - 'data': image.flatten().tolist(), - }, - ] - } - return payload - -def _unpack(response_item): - return np.array(response_item['data']).reshape(response_item['shape']) - -def send_request(image, endpoint): - payload = _serialize(image) - - raw_response = requests.post(f"{endpoint}/v2/models/my-first-model/infer", json = payload) - try: - response = raw_response.json() - except: - print(f'Failed to deserialize service response.\n' - f'Status code: {raw_response.status_code}\n' - f'Response body: {raw_response.text}') - raise - - try: - model_output = response['outputs'] - except: - print(f'Failed to extract model output from service response.\n' - f'Service response: {response}') - raise - - unpacked_output = [_unpack(item) for item in model_output] - return unpacked_output - -def process_image(image_path, endpoint): - preprocessed, scale, original_image = preprocess(image_path) - response = send_request(preprocessed, endpoint) - new_image = postprocess(response[0], scale, original_image) - - filename = os.path.basename(image_path) - Path("processed_images").mkdir(parents=True, exist_ok=True) - new_file_path = f"processed_images/{filename}" - cv2.imwrite(new_file_path, new_image) - print(f"Successfully processed image {filename}") - - return new_file_path - -if __name__ == '__main__': - detection_endpoint = os.environ.get("DETECTION_ENDPOINT") - process_image("test_image.jpg", detection_endpoint) \ No newline at end of file diff --git a/lab-materials/05/05-05/requirements.txt b/lab-materials/05/05-05/requirements.txt deleted file mode 100644 index b4817ef0..00000000 --- a/lab-materials/05/05-05/requirements.txt +++ /dev/null @@ -1,8 +0,0 @@ -langchain==0.0.340 -text_generation==0.6.1 -sentence_transformers==2.2.2 -opencv-python-headless==4.8.1.78 -python-dotenv==1.0.0 -psycopg2-binary==2.9.9 -boto3==1.26.165 -openai==1.13.3 \ No newline at end of file diff --git a/lab-materials/05/05-05/summarize_text.py b/lab-materials/05/05-05/summarize_text.py deleted file mode 100644 index cd1567ae..00000000 --- a/lab-materials/05/05-05/summarize_text.py +++ /dev/null @@ -1,50 +0,0 @@ -import requests -import os -import json - -import logging -from dotenv import dotenv_values, load_dotenv - -from llm_usage import infer_with_template -import db_utils - -# Initialize logger -logger = logging.getLogger("app") - -# Get config -config = { - **dotenv_values(".env"), # load shared development variables - **dotenv_values(".env.secret"), # load sensitive variables - **os.environ, # override loaded values with environment variables - **dotenv_values(".pipeline-envs"), # load pipeline-specific vars -} - -db = db_utils.Database(config, logger) - -def upload_summarized_claim(claim_id, summary): - db.update_claim_summary(claim_id, summary) - -def summarize_claim(claim_id = None): - claim_info = db.get_claim_info(claim_id) - claim_body = claim_info["body"] - - with open('templates/summary_template.txt') as f: - template = f.read() - - summary = infer_with_template(claim_body, template) - print(summary) - upload_summarized_claim(claim_id, summary) - - -def batch_summarize_claim(claim_ids = None): - if not claim_ids: - with open('claims.json') as f: - claim_ids = json.load(f)["claim_ids"] - - print(f"processing claims: {claim_ids}") - - for claim_id in claim_ids: - summarize_claim(claim_id) - -if __name__ == '__main__': - summary = batch_summarize_claim() \ No newline at end of file diff --git a/lab-materials/05/05-05/templates/location_template.txt b/lab-materials/05/05-05/templates/location_template.txt deleted file mode 100644 index 4a3c93bd..00000000 --- a/lab-materials/05/05-05/templates/location_template.txt +++ /dev/null @@ -1,8 +0,0 @@ -[INST] <> -Where did the accident happen in the below car claim? -Responde with just the location. - -Car claim: -<> -{car_claim} -[/INST] \ No newline at end of file diff --git a/lab-materials/05/05-05/templates/sentiment_template.txt b/lab-materials/05/05-05/templates/sentiment_template.txt deleted file mode 100644 index 4de4095b..00000000 --- a/lab-materials/05/05-05/templates/sentiment_template.txt +++ /dev/null @@ -1,8 +0,0 @@ -[INST] <> -Is the predominant sentiment of the customer in the following text positive, negative, or neutral? -Respond in one word: Positive, Negative, or Neutral. - -Text: -<> -{car_claim} -[/INST] \ No newline at end of file diff --git a/lab-materials/05/05-05/templates/summary_template.txt b/lab-materials/05/05-05/templates/summary_template.txt deleted file mode 100644 index f47252fe..00000000 --- a/lab-materials/05/05-05/templates/summary_template.txt +++ /dev/null @@ -1,5 +0,0 @@ -[INST] <> -Summarize the below car insurance claim: -<> -{car_claim} -[/INST] \ No newline at end of file diff --git a/lab-materials/05/05-05/templates/time_template.txt b/lab-materials/05/05-05/templates/time_template.txt deleted file mode 100644 index 279df8b7..00000000 --- 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zk-WO-`#oF(M2_8X2IH%^`!8D=gUkhr_1tWgx|)a~`}5d?Z%L#dfSmmrR{n41NlE_F z7KHnT_Fsq1yPo5ybLE^CL+1k7xd5kR&jbN!Jmi znqCo7e5hB#p8Lo5(Lma@S!=bGgl7nP9Gu_llL!hsiX5t3Jj~7An4f>_QWg=oNW#4f zy0*mwEQ0 z8sl3M0#0;TrK1F^B(Co#mbDx<(w2x00sw9tI721t0vz1!HDd}MEh4$pNO`MoB)K%UYra7w6_7VrvL7}?C?7ZFE;nlU|FG9%1?>J+e^yqbU z7JwVSv_IC+fHvjfvT_4~0Up$PU$=yi!2?$GB-vA;Mh}0BmGqit#ZU>leW2mh7)@c+IgKYPHdV|x`+?k7%kycDo$Df;@H(_) zUgj{^uoL|Bl|6k}ej?A=*5T;(fJ4h~p?$T?9JD!RQ4K7P2#_5N@MB2&M)IQ&@!2vn zQi+_KB?OG)7Q1KA5x(5Y0xr-Yq?thuEyM>_R|BwF_{g3WyhAy`1`m;h%EUx`lDvHo z4t|i0my&R^@zI6c<_EZdXJpgtBpmLV0YNGJj5v861yT^I22gdKJF7m_jzRf=35((y z$o2tPXNnyxW-h@6%s@h*P8V>jL;(nnS);_!GICGhamtAeW$4A-9g8G~3ib@+TI5el zNS6oPU}G{F{lmcg2(e`YlF4HRECymUviD#$Nq!1V^~`OXFxQWivWFBFVcRDo8Bs zG)ZEEypn~^yzDIO`u4*fH&W37$^E>cWz~5Q*N{0k3oJuqa0VcMSIo0jUZl#aApHV* zkHm56_Ih&?Qmbs Date: Fri, 31 May 2024 16:56:32 -0400 Subject: [PATCH 02/26] update readme --- README.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/README.md b/README.md index 96b9419a..22fa0bd5 100644 --- a/README.md +++ b/README.md @@ -17,6 +17,10 @@ You can change the coordinates (host/port and other stuff) for the LLM and backe ## Running +First, get your inference server up and running. For example, with [InstructLab](https://github.com/instructlab/instructlab), the default after running `ilab serve` is that the server is listening on `localhost:8000`. This is the default for this app as well. + +Then: + ``` cd app; npm install cd frontend; npm install @@ -25,3 +29,4 @@ cd ../.. ``` Frontend web app will open on `localhost:9000`, backend on `localhost:5000`. +Open the app, click on a claim, click on the chat app, and start asking questions. The context of the claim is sent to the LLM along with your Query, and the response is shown in the chat (it may take time depending on your machine's performance). From 6c36bc8cd2923e53688032ed786178126ce5f6ee Mon Sep 17 00:00:00 2001 From: James Falkner Date: Fri, 31 May 2024 17:04:36 -0400 Subject: [PATCH 03/26] update port/host defaults --- README.md | 2 +- app/backend/src/main/resources/application.properties | 3 ++- app/frontend/src/app/config.tsx | 2 +- app/frontend/webpack.dev.js | 4 ++-- 4 files changed, 6 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 22fa0bd5..133b0038 100644 --- a/README.md +++ b/README.md @@ -27,6 +27,6 @@ cd frontend; npm install cd ../.. ./start-dev.sh ``` -Frontend web app will open on `localhost:9000`, backend on `localhost:5000`. +Frontend web app will open on `0.0.0.0:8006`, backend on `0.0.0.0:8005`. Open the app, click on a claim, click on the chat app, and start asking questions. The context of the claim is sent to the LLM along with your Query, and the response is shown in the chat (it may take time depending on your machine's performance). diff --git a/app/backend/src/main/resources/application.properties b/app/backend/src/main/resources/application.properties index 944aea1d..b8e346b4 100644 --- a/app/backend/src/main/resources/application.properties +++ b/app/backend/src/main/resources/application.properties @@ -17,6 +17,7 @@ quarkus.langchain4j.openai.log-responses=true # quarkus.langchain4j.ollama.log-responses=true # quarkus.langchain4j.ollama.model-id=llama3 # quarkus.langchain4j.ollama.chat-model.temperature=0.3 -quarkus.http.port=5000 +quarkus.http.host=0.0.0.0 +quarkus.http.port=8005 quarkus.http.cors=true %dev.quarkus.http.cors.origins=/.*/ diff --git a/app/frontend/src/app/config.tsx b/app/frontend/src/app/config.tsx index 6e67bc64..297d9c2e 100644 --- a/app/frontend/src/app/config.tsx +++ b/app/frontend/src/app/config.tsx @@ -1,5 +1,5 @@ const config = { - backend_api_url: process.env.BACKEND_API_URL || 'http://localhost:5000/api', + backend_api_url: process.env.BACKEND_API_URL || 'http://localhost:8005/api', }; export default config; \ No newline at end of file diff --git a/app/frontend/webpack.dev.js b/app/frontend/webpack.dev.js index 961fe19d..172c102f 100644 --- a/app/frontend/webpack.dev.js +++ b/app/frontend/webpack.dev.js @@ -4,8 +4,8 @@ const path = require('path'); const { merge } = require('webpack-merge'); const common = require('./webpack.common.js'); const { stylePaths } = require('./stylePaths.js'); -const HOST = process.env.HOST || 'localhost'; -const PORT = process.env.PORT || '9000'; +const HOST = process.env.HOST || '0.0.0.0'; +const PORT = process.env.PORT || '8006'; module.exports = merge(common('development'), { mode: 'development', From 634a9a6a5b2f57e55a494228e191831b011cb3f0 Mon Sep 17 00:00:00 2001 From: James Labocki Date: Mon, 3 Jun 2024 10:42:19 -0400 Subject: [PATCH 04/26] Update README.md Adding how to make it work on RH demo platform --- README.md | 29 +++++++++++++++++++++++++++++ 1 file changed, 29 insertions(+) diff --git a/README.md b/README.md index 133b0038..4290deb4 100644 --- a/README.md +++ b/README.md @@ -11,6 +11,35 @@ A [Quarkus](https://quarkus.io) + [React](https://react.dev/) AI app for managin - Node.js 21 or later -- Get it https://nodejs.org/en/download/package-manager here) or install using your favorite package manager. - An OpenAI-capable LLM inference server. Get one here with [InstructLab](https://github.com/instructlab/instructlab)! +## To Configure on InstructLab instance of Red Hat Demo Platform + + +Install Node.js +``` +curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/master/install.sh > install.sh +chmod +x install.sh +./install.sh +``` + +Install zip +``` +sudo dnf install zip -y +``` + +Install sdkman in order to get newer versions of Java and Maven. Then install Quarkus, Java, and Maven. +``` +curl -s "https://get.sdkman.io" | bash +sdk install quarkus +sdk install java 22.0.1-tem +sdk install maven +``` + +edit app/frontend/webpack.dev.js and insert ` allowedHosts: 'all',` after the line ` historyApiFallback: true,` + +After this you can follow the instructions in the **Running** section. + + + ## Configuration You can change the coordinates (host/port and other stuff) for the LLM and backend in `app/backend/src/main/resources/application.properties`. From 61fe2a89611a8c92b436c327ad8356c4e30a329e Mon Sep 17 00:00:00 2001 From: James Labocki Date: Mon, 3 Jun 2024 11:03:03 -0400 Subject: [PATCH 05/26] Update README.md additional edit --- README.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/README.md b/README.md index 4290deb4..a695a480 100644 --- a/README.md +++ b/README.md @@ -36,6 +36,12 @@ sdk install maven edit app/frontend/webpack.dev.js and insert ` allowedHosts: 'all',` after the line ` historyApiFallback: true,` +edit the confix.tsx file for the front end and change localhost to the hostname of your system + +``` +vi ~/code/parasol-insurance/app/frontend/src/app/config.tsx +``` + After this you can follow the instructions in the **Running** section. From 2be8983b4e77046a08f3d5664c626ca1029f2f2a Mon Sep 17 00:00:00 2001 From: James Falkner Date: Mon, 3 Jun 2024 14:45:23 -0400 Subject: [PATCH 06/26] Dont give JSON back in responses --- app/backend/src/main/resources/application.properties | 1 - 1 file changed, 1 deletion(-) diff --git a/app/backend/src/main/resources/application.properties b/app/backend/src/main/resources/application.properties index b8e346b4..0603c173 100644 --- a/app/backend/src/main/resources/application.properties +++ b/app/backend/src/main/resources/application.properties @@ -5,7 +5,6 @@ quarkus.langchain4j.openai.chat-model.temperature=0.3 quarkus.langchain4j.openai.timeout=600s quarkus.langchain4j.openai.chat-model.model-name=merlinite-7b-lab-Q4_K_M -quarkus.langchain4j.openai.chat-model.response-format=json_object quarkus.langchain4j.openai.base-url=http://localhost:8000/v1 quarkus.langchain4j.openai.log-requests=true quarkus.langchain4j.openai.log-responses=true From d0fcd89917d835f5d0dc1c8661d40c27952a35c6 Mon Sep 17 00:00:00 2001 From: James Falkner Date: Mon, 3 Jun 2024 15:35:58 -0400 Subject: [PATCH 07/26] Update webpack.dev.js - allowedHosts --- app/frontend/webpack.dev.js | 1 + 1 file changed, 1 insertion(+) diff --git a/app/frontend/webpack.dev.js b/app/frontend/webpack.dev.js index 172c102f..d8e270f7 100644 --- a/app/frontend/webpack.dev.js +++ b/app/frontend/webpack.dev.js @@ -13,6 +13,7 @@ module.exports = merge(common('development'), { devServer: { host: HOST, port: PORT, + allowedHosts: 'all', historyApiFallback: true, open: true, static: { From 3c80d344f3d6bd3d90c2345889270ecea722f9c1 Mon Sep 17 00:00:00 2001 From: Eric Deandrea Date: Wed, 5 Jun 2024 12:14:54 -0400 Subject: [PATCH 08/26] Use quinoa --- .gitignore | 2 + app/{backend => }/.dockerignore | 0 app/{backend => }/.gitignore | 0 app/.mvn/wrapper/maven-wrapper.properties | 19 + app/Containerfile | 21 - app/README.md | 57 +- app/backend/Containerfile | 31 - app/backend/README.md | 56 - .../src/main/resources/application.properties | 22 - app/backend/startdev.sh | 2 - app/frontend/package-lock.json | 32291 ---------------- app/mvnw | 259 + app/mvnw.cmd | 149 + app/package-lock.json | 1411 - app/package.json | 56 - app/{backend => }/pom.xml | 25 +- .../java/org/parasol/ai/ClaimService.java | 0 .../main/java/org/parasol/model/Claim.java | 0 .../java/org/parasol/model/ClaimBotQuery.java | 0 .../parasol/model/ClaimBotQueryResponse.java | 0 .../org/parasol/resources/ClaimResource.java | 0 .../resources/ClaimWebsocketChatBot.java | 5 +- .../parasol/resources/GreetingResource.java | 0 app/src/main/resources/application.properties | 30 + .../src/main/resources/import.sql | 0 .../main/webui}/.editorconfig | 0 app/{frontend => src/main/webui}/.eslintrc.js | 0 app/{frontend => src/main/webui}/.gitignore | 0 .../main/webui}/.prettierignore | 0 app/{frontend => src/main/webui}/.prettierrc | 0 app/{frontend => src/main/webui}/README.md | 0 .../main/webui}/babel.config.js | 0 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.../src/app/components/NotFound/NotFound.tsx | 0 .../components/OriginalApp/OriginalApp.tsx | 0 .../main/webui}/src/app/config.tsx | 0 .../main/webui}/src/app/index.tsx | 0 .../main/webui}/src/app/routes.tsx | 0 .../webui}/src/app/utils/useDocumentTitle.ts | 0 .../main/webui}/src/favicon.png | Bin .../main/webui}/src/favicon.svg | 0 .../main/webui}/src/index.html | 0 .../main/webui}/src/index.tsx | 0 .../main/webui}/src/typings.d.ts | 0 .../main/webui}/stylePaths.js | 0 .../main/webui}/tsconfig.json | 0 .../main/webui}/webpack.common.js | 0 .../main/webui}/webpack.dev.js | 0 .../main/webui}/webpack.prod.js | 0 app/start-dev.sh | 1 - 90 files changed, 532 insertions(+), 33905 deletions(-) rename app/{backend => }/.dockerignore (100%) rename app/{backend => }/.gitignore (100%) create mode 100644 app/.mvn/wrapper/maven-wrapper.properties delete mode 100644 app/Containerfile delete mode 100644 app/backend/Containerfile delete mode 100644 app/backend/README.md delete mode 100644 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rename app/{frontend => src/main/webui}/webpack.prod.js (100%) delete mode 100755 app/start-dev.sh diff --git a/.gitignore b/.gitignore index 0d4985f9..8ede2416 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,4 @@ +.quinoa # editor .idea/ .vscode/ @@ -50,3 +51,4 @@ package-lock.json lab-materials/04/datasets/* lab-materials/04/runs/* +**/target/** \ No newline at end of file diff --git a/app/backend/.dockerignore b/app/.dockerignore similarity index 100% rename from app/backend/.dockerignore rename to app/.dockerignore diff --git a/app/backend/.gitignore b/app/.gitignore similarity index 100% rename from app/backend/.gitignore rename to app/.gitignore diff --git a/app/.mvn/wrapper/maven-wrapper.properties b/app/.mvn/wrapper/maven-wrapper.properties new file mode 100644 index 00000000..48a56c99 --- /dev/null +++ b/app/.mvn/wrapper/maven-wrapper.properties @@ -0,0 +1,19 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +wrapperVersion=3.3.2 +distributionType=only-script +distributionUrl=https://repo.maven.apache.org/maven2/org/apache/maven/apache-maven/3.9.6/apache-maven-3.9.6-bin.zip diff --git a/app/Containerfile b/app/Containerfile deleted file mode 100644 index ca4a7b0a..00000000 --- a/app/Containerfile +++ /dev/null @@ -1,21 +0,0 @@ -FROM registry.access.redhat.com/ubi9/nodejs-18 as stage - -USER root - -WORKDIR /tmp - -RUN git clone https://github.com/rh-aiservices-bu/parasol-insurance.git - -FROM registry.access.redhat.com/ubi9/nodejs-18 - -USER root - -COPY --from=stage /tmp/parasol-insurance/app/ /tmp/src - -RUN chown -R 1001:0 /tmp/src - -USER 1001 - -RUN /usr/libexec/s2i/assemble - -CMD /usr/libexec/s2i/run diff --git a/app/README.md b/app/README.md index 24e312ce..162c4bb5 100644 --- a/app/README.md +++ b/app/README.md @@ -1,7 +1,56 @@ -# Application image +# code-with-quarkus -## Building +This project uses Quarkus, the Supersonic Subatomic Java Framework. -The npm build happens during the image build. To do it successfully, you may have to augment the limits on open files in your system. Ex: +If you want to learn more about Quarkus, please visit its website: https://quarkus.io/ . -`podman build --no-cache --ulimit nofile=10000:10000 -t rhoai-lab-insurance-claim-app:2.1.0 .` +## Running the application in dev mode + +You can run your application in dev mode that enables live coding using: +```shell script +./mvnw compile quarkus:dev +``` + +> **_NOTE:_** Quarkus now ships with a Dev UI, which is available in dev mode only at http://localhost:8080/q/dev/. + +## Packaging and running the application + +The application can be packaged using: +```shell script +./mvnw package +``` +It produces the `quarkus-run.jar` file in the `target/quarkus-app/` directory. +Be aware that it’s not an _über-jar_ as the dependencies are copied into the `target/quarkus-app/lib/` directory. + +The application is now runnable using `java -jar target/quarkus-app/quarkus-run.jar`. + +If you want to build an _über-jar_, execute the following command: +```shell script +./mvnw package -Dquarkus.package.type=uber-jar +``` + +The application, packaged as an _über-jar_, is now runnable using `java -jar target/*-runner.jar`. + +## Creating a native executable + +You can create a native executable using: +```shell script +./mvnw package -Dnative +``` + +Or, if you don't have GraalVM installed, you can run the native executable build in a container using: +```shell script +./mvnw package -Dnative -Dquarkus.native.container-build=true +``` + +You can then execute your native executable with: `./target/code-with-quarkus-1.0.0-SNAPSHOT-runner` + +If you want to learn more about building native executables, please consult https://quarkus.io/guides/maven-tooling. + +## Provided Code + +### REST + +Easily start your REST Web Services + +[Related guide section...](https://quarkus.io/guides/getting-started-reactive#reactive-jax-rs-resources) diff --git a/app/backend/Containerfile b/app/backend/Containerfile deleted file mode 100644 index 3b46a57c..00000000 --- a/app/backend/Containerfile +++ /dev/null @@ -1,31 +0,0 @@ -# FROM registry.access.redhat.com/ubi9/python-311:1-52.1712567218 -# WORKDIR /chat -# COPY requirements.txt . -# RUN pip install --upgrade pip -# RUN pip install --no-cache-dir --upgrade -r /chat/requirements.txt -# COPY chatbot_ui.py . -# EXPOSE 8501 -# ENTRYPOINT [ "streamlit", "run", "chatbot_ui.py" ] - -## Stage 1 : build with maven builder image with native capabilities -FROM registry.access.redhat.com/ubi8/openjdk-21 AS build -COPY pom.xml /home/jboss -WORKDIR /home/jboss/ -RUN mvn -B org.apache.maven.plugins:maven-dependency-plugin:3.1.2:go-offline -COPY src /home/jboss/src -RUN mvn clean package -DskipTests - -## Stage 2 : create the docker final image -FROM registry.access.redhat.com/ubi8/openjdk-21-runtime -WORKDIR /deployments/ -COPY --from=build --chown=185 /home/jboss/target/quarkus-app/lib/ /deployments/lib/ -COPY --from=build --chown=185 /home/jboss/target/quarkus-app/*.jar /deployments/ -COPY --from=build --chown=185 /home/jboss/target/quarkus-app/app/ /deployments/app/ -COPY --from=build --chown=185 /home/jboss/target/quarkus-app/quarkus/ /deployments/quarkus/ - -EXPOSE 8501 -USER 185 -ENV JAVA_OPTS_APPEND="-Dquarkus.http.host=0.0.0.0 -Dquarkus.http.port=8501 -Djava.util.logging.manager=org.jboss.logmanager.LogManager" -ENV JAVA_APP_JAR="/deployments/quarkus-run.jar" - -ENTRYPOINT [ "/opt/jboss/container/java/run/run-java.sh" ] \ No newline at end of file diff --git a/app/backend/README.md b/app/backend/README.md deleted file mode 100644 index 162c4bb5..00000000 --- a/app/backend/README.md +++ /dev/null @@ -1,56 +0,0 @@ -# code-with-quarkus - -This project uses Quarkus, the Supersonic Subatomic Java Framework. - -If you want to learn more about Quarkus, please visit its website: https://quarkus.io/ . - -## Running the application in dev mode - -You can run your application in dev mode that enables live coding using: -```shell script -./mvnw compile quarkus:dev -``` - -> **_NOTE:_** Quarkus now ships with a Dev UI, which is available in dev mode only at http://localhost:8080/q/dev/. - -## Packaging and running the application - -The application can be packaged using: -```shell script -./mvnw package -``` -It produces the `quarkus-run.jar` file in the `target/quarkus-app/` directory. -Be aware that it’s not an _über-jar_ as the dependencies are copied into the `target/quarkus-app/lib/` directory. - -The application is now runnable using `java -jar target/quarkus-app/quarkus-run.jar`. - -If you want to build an _über-jar_, execute the following command: -```shell script -./mvnw package -Dquarkus.package.type=uber-jar -``` - -The application, packaged as an _über-jar_, is now runnable using `java -jar target/*-runner.jar`. - -## Creating a native executable - -You can create a native executable using: -```shell script -./mvnw package -Dnative -``` - -Or, if you don't have GraalVM installed, you can run the native executable build in a container using: -```shell script -./mvnw package -Dnative -Dquarkus.native.container-build=true -``` - -You can then execute your native executable with: `./target/code-with-quarkus-1.0.0-SNAPSHOT-runner` - -If you want to learn more about building native executables, please consult https://quarkus.io/guides/maven-tooling. - -## Provided Code - -### REST - -Easily start your REST Web Services - -[Related guide section...](https://quarkus.io/guides/getting-started-reactive#reactive-jax-rs-resources) diff --git a/app/backend/src/main/resources/application.properties b/app/backend/src/main/resources/application.properties deleted file mode 100644 index 0603c173..00000000 --- a/app/backend/src/main/resources/application.properties +++ /dev/null @@ -1,22 +0,0 @@ -# RAG -# quarkus.langchain4j.easy-rag.path=src/main/resources/catalog - -# OpenAI -quarkus.langchain4j.openai.chat-model.temperature=0.3 -quarkus.langchain4j.openai.timeout=600s -quarkus.langchain4j.openai.chat-model.model-name=merlinite-7b-lab-Q4_K_M -quarkus.langchain4j.openai.base-url=http://localhost:8000/v1 -quarkus.langchain4j.openai.log-requests=true -quarkus.langchain4j.openai.log-responses=true - -# Ollama -# quarkus.langchain4j.ollama.timeout=600s -# quarkus.langchain4j.ollama.base-url=http://127.0.0.1:11434 -# quarkus.langchain4j.ollama.log-requests=true -# quarkus.langchain4j.ollama.log-responses=true -# quarkus.langchain4j.ollama.model-id=llama3 -# quarkus.langchain4j.ollama.chat-model.temperature=0.3 -quarkus.http.host=0.0.0.0 -quarkus.http.port=8005 -quarkus.http.cors=true -%dev.quarkus.http.cors.origins=/.*/ diff --git a/app/backend/startdev.sh b/app/backend/startdev.sh deleted file mode 100755 index 8b889bdd..00000000 --- a/app/backend/startdev.sh +++ /dev/null @@ -1,2 +0,0 @@ -#!/bin/bash -watchmedo auto-restart --pattern "*.py" --recursive --signal SIGTERM quarkus dev \ No newline at end of file diff --git a/app/frontend/package-lock.json b/app/frontend/package-lock.json deleted file mode 100644 index 99c22c4b..00000000 --- a/app/frontend/package-lock.json +++ /dev/null @@ -1,32291 +0,0 @@ -{ - 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See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +# ---------------------------------------------------------------------------- + +# ---------------------------------------------------------------------------- +# Apache Maven Wrapper startup batch script, version 3.3.2 +# +# Optional ENV vars +# ----------------- +# JAVA_HOME - location of a JDK home dir, required when download maven via java source +# MVNW_REPOURL - repo url base for downloading maven distribution +# MVNW_USERNAME/MVNW_PASSWORD - user and password for downloading maven +# MVNW_VERBOSE - true: enable verbose log; debug: trace the mvnw script; others: silence the output +# ---------------------------------------------------------------------------- + +set -euf +[ "${MVNW_VERBOSE-}" != debug ] || set -x + +# OS specific support. +native_path() { printf %s\\n "$1"; } +case "$(uname)" in +CYGWIN* | MINGW*) + [ -z "${JAVA_HOME-}" ] || JAVA_HOME="$(cygpath --unix "$JAVA_HOME")" + native_path() { cygpath --path --windows "$1"; } + ;; +esac + +# set JAVACMD and JAVACCMD +set_java_home() { + # For Cygwin and MinGW, ensure paths are in Unix format before anything is touched + if [ -n "${JAVA_HOME-}" ]; then + if [ -x "$JAVA_HOME/jre/sh/java" ]; then + # IBM's JDK on AIX uses strange locations for the executables + JAVACMD="$JAVA_HOME/jre/sh/java" + JAVACCMD="$JAVA_HOME/jre/sh/javac" + else + JAVACMD="$JAVA_HOME/bin/java" + JAVACCMD="$JAVA_HOME/bin/javac" + + if [ ! -x "$JAVACMD" ] || [ ! -x "$JAVACCMD" ]; then + echo "The JAVA_HOME environment variable is not defined correctly, so mvnw cannot run." >&2 + echo "JAVA_HOME is set to \"$JAVA_HOME\", but \"\$JAVA_HOME/bin/java\" or \"\$JAVA_HOME/bin/javac\" does not exist." >&2 + return 1 + fi + fi + else + JAVACMD="$( + 'set' +e + 'unset' -f command 2>/dev/null + 'command' -v java + )" || : + JAVACCMD="$( + 'set' +e + 'unset' -f command 2>/dev/null + 'command' -v javac + )" || : + + if [ ! -x "${JAVACMD-}" ] || [ ! -x "${JAVACCMD-}" ]; then + echo "The java/javac command does not exist in PATH nor is JAVA_HOME set, so mvnw cannot run." >&2 + return 1 + fi + fi +} + +# hash string like Java String::hashCode +hash_string() { + str="${1:-}" h=0 + while [ -n "$str" ]; do + char="${str%"${str#?}"}" + h=$(((h * 31 + $(LC_CTYPE=C printf %d "'$char")) % 4294967296)) + str="${str#?}" + done + printf %x\\n $h +} + +verbose() { :; } +[ "${MVNW_VERBOSE-}" != true ] || verbose() { printf %s\\n "${1-}"; } + +die() { + printf %s\\n "$1" >&2 + exit 1 +} + +trim() { + # MWRAPPER-139: + # Trims trailing and leading whitespace, carriage returns, tabs, and linefeeds. + # Needed for removing poorly interpreted newline sequences when running in more + # exotic environments such as mingw bash on Windows. + printf "%s" "${1}" | tr -d '[:space:]' +} + +# parse distributionUrl and optional distributionSha256Sum, requires .mvn/wrapper/maven-wrapper.properties +while IFS="=" read -r key value; do + case "${key-}" in + distributionUrl) distributionUrl=$(trim "${value-}") ;; + distributionSha256Sum) distributionSha256Sum=$(trim "${value-}") ;; + esac +done <"${0%/*}/.mvn/wrapper/maven-wrapper.properties" +[ -n "${distributionUrl-}" ] || die "cannot read distributionUrl property in ${0%/*}/.mvn/wrapper/maven-wrapper.properties" + +case "${distributionUrl##*/}" in +maven-mvnd-*bin.*) + MVN_CMD=mvnd.sh _MVNW_REPO_PATTERN=/maven/mvnd/ + case "${PROCESSOR_ARCHITECTURE-}${PROCESSOR_ARCHITEW6432-}:$(uname -a)" in + *AMD64:CYGWIN* | *AMD64:MINGW*) distributionPlatform=windows-amd64 ;; + :Darwin*x86_64) distributionPlatform=darwin-amd64 ;; + :Darwin*arm64) distributionPlatform=darwin-aarch64 ;; + :Linux*x86_64*) distributionPlatform=linux-amd64 ;; + *) + echo "Cannot detect native platform for mvnd on $(uname)-$(uname -m), use pure java version" >&2 + distributionPlatform=linux-amd64 + ;; + esac + distributionUrl="${distributionUrl%-bin.*}-$distributionPlatform.zip" + ;; +maven-mvnd-*) MVN_CMD=mvnd.sh _MVNW_REPO_PATTERN=/maven/mvnd/ ;; +*) MVN_CMD="mvn${0##*/mvnw}" _MVNW_REPO_PATTERN=/org/apache/maven/ ;; +esac + +# apply MVNW_REPOURL and calculate MAVEN_HOME +# maven home pattern: ~/.m2/wrapper/dists/{apache-maven-,maven-mvnd--}/ +[ -z "${MVNW_REPOURL-}" ] || distributionUrl="$MVNW_REPOURL$_MVNW_REPO_PATTERN${distributionUrl#*"$_MVNW_REPO_PATTERN"}" +distributionUrlName="${distributionUrl##*/}" +distributionUrlNameMain="${distributionUrlName%.*}" +distributionUrlNameMain="${distributionUrlNameMain%-bin}" +MAVEN_USER_HOME="${MAVEN_USER_HOME:-${HOME}/.m2}" +MAVEN_HOME="${MAVEN_USER_HOME}/wrapper/dists/${distributionUrlNameMain-}/$(hash_string "$distributionUrl")" + +exec_maven() { + unset MVNW_VERBOSE MVNW_USERNAME MVNW_PASSWORD MVNW_REPOURL || : + exec "$MAVEN_HOME/bin/$MVN_CMD" "$@" || die "cannot exec $MAVEN_HOME/bin/$MVN_CMD" +} + +if [ -d "$MAVEN_HOME" ]; then + verbose "found existing MAVEN_HOME at $MAVEN_HOME" + exec_maven "$@" +fi + +case "${distributionUrl-}" in +*?-bin.zip | *?maven-mvnd-?*-?*.zip) ;; +*) die "distributionUrl is not valid, must match *-bin.zip or maven-mvnd-*.zip, but found '${distributionUrl-}'" ;; +esac + +# prepare tmp dir +if TMP_DOWNLOAD_DIR="$(mktemp -d)" && [ -d "$TMP_DOWNLOAD_DIR" ]; then + clean() { rm -rf -- "$TMP_DOWNLOAD_DIR"; } + trap clean HUP INT TERM EXIT +else + die "cannot create temp dir" +fi + +mkdir -p -- "${MAVEN_HOME%/*}" + +# Download and Install Apache Maven +verbose "Couldn't find MAVEN_HOME, downloading and installing it ..." +verbose "Downloading from: $distributionUrl" +verbose "Downloading to: $TMP_DOWNLOAD_DIR/$distributionUrlName" + +# select .zip or .tar.gz +if ! command -v unzip >/dev/null; then + distributionUrl="${distributionUrl%.zip}.tar.gz" + distributionUrlName="${distributionUrl##*/}" +fi + +# verbose opt +__MVNW_QUIET_WGET=--quiet __MVNW_QUIET_CURL=--silent __MVNW_QUIET_UNZIP=-q __MVNW_QUIET_TAR='' +[ "${MVNW_VERBOSE-}" != true ] || __MVNW_QUIET_WGET='' __MVNW_QUIET_CURL='' __MVNW_QUIET_UNZIP='' __MVNW_QUIET_TAR=v + +# normalize http auth +case "${MVNW_PASSWORD:+has-password}" in +'') MVNW_USERNAME='' MVNW_PASSWORD='' ;; +has-password) [ -n "${MVNW_USERNAME-}" ] || MVNW_USERNAME='' MVNW_PASSWORD='' ;; +esac + +if [ -z "${MVNW_USERNAME-}" ] && command -v wget >/dev/null; then + verbose "Found wget ... using wget" + wget ${__MVNW_QUIET_WGET:+"$__MVNW_QUIET_WGET"} "$distributionUrl" -O "$TMP_DOWNLOAD_DIR/$distributionUrlName" || die "wget: Failed to fetch $distributionUrl" +elif [ -z "${MVNW_USERNAME-}" ] && command -v curl >/dev/null; then + verbose "Found curl ... using curl" + curl ${__MVNW_QUIET_CURL:+"$__MVNW_QUIET_CURL"} -f -L -o "$TMP_DOWNLOAD_DIR/$distributionUrlName" "$distributionUrl" || die "curl: Failed to fetch $distributionUrl" +elif set_java_home; then + verbose "Falling back to use Java to download" + javaSource="$TMP_DOWNLOAD_DIR/Downloader.java" + targetZip="$TMP_DOWNLOAD_DIR/$distributionUrlName" + cat >"$javaSource" <<-END + public class Downloader extends java.net.Authenticator + { + protected java.net.PasswordAuthentication getPasswordAuthentication() + { + return new java.net.PasswordAuthentication( System.getenv( "MVNW_USERNAME" ), System.getenv( "MVNW_PASSWORD" ).toCharArray() ); + } + public static void main( String[] args ) throws Exception + { + setDefault( new Downloader() ); + java.nio.file.Files.copy( java.net.URI.create( args[0] ).toURL().openStream(), java.nio.file.Paths.get( args[1] ).toAbsolutePath().normalize() ); + } + } + END + # For Cygwin/MinGW, switch paths to Windows format before running javac and java + verbose " - Compiling Downloader.java ..." + "$(native_path "$JAVACCMD")" "$(native_path "$javaSource")" || die "Failed to compile Downloader.java" + verbose " - Running Downloader.java ..." + "$(native_path "$JAVACMD")" -cp "$(native_path "$TMP_DOWNLOAD_DIR")" Downloader "$distributionUrl" "$(native_path "$targetZip")" +fi + +# If specified, validate the SHA-256 sum of the Maven distribution zip file +if [ -n "${distributionSha256Sum-}" ]; then + distributionSha256Result=false + if [ "$MVN_CMD" = mvnd.sh ]; then + echo "Checksum validation is not supported for maven-mvnd." >&2 + echo "Please disable validation by removing 'distributionSha256Sum' from your maven-wrapper.properties." >&2 + exit 1 + elif command -v sha256sum >/dev/null; then + if echo "$distributionSha256Sum $TMP_DOWNLOAD_DIR/$distributionUrlName" | sha256sum -c >/dev/null 2>&1; then + distributionSha256Result=true + fi + elif command -v shasum >/dev/null; then + if echo "$distributionSha256Sum $TMP_DOWNLOAD_DIR/$distributionUrlName" | shasum -a 256 -c >/dev/null 2>&1; then + distributionSha256Result=true + fi + else + echo "Checksum validation was requested but neither 'sha256sum' or 'shasum' are available." >&2 + echo "Please install either command, or disable validation by removing 'distributionSha256Sum' from your maven-wrapper.properties." >&2 + exit 1 + fi + if [ $distributionSha256Result = false ]; then + echo "Error: Failed to validate Maven distribution SHA-256, your Maven distribution might be compromised." >&2 + echo "If you updated your Maven version, you need to update the specified distributionSha256Sum property." >&2 + exit 1 + fi +fi + +# unzip and move +if command -v unzip >/dev/null; then + unzip ${__MVNW_QUIET_UNZIP:+"$__MVNW_QUIET_UNZIP"} "$TMP_DOWNLOAD_DIR/$distributionUrlName" -d "$TMP_DOWNLOAD_DIR" || die "failed to unzip" +else + tar xzf${__MVNW_QUIET_TAR:+"$__MVNW_QUIET_TAR"} "$TMP_DOWNLOAD_DIR/$distributionUrlName" -C "$TMP_DOWNLOAD_DIR" || die "failed to untar" +fi +printf %s\\n "$distributionUrl" >"$TMP_DOWNLOAD_DIR/$distributionUrlNameMain/mvnw.url" +mv -- "$TMP_DOWNLOAD_DIR/$distributionUrlNameMain" "$MAVEN_HOME" || [ -d "$MAVEN_HOME" ] || die "fail to move MAVEN_HOME" + +clean || : +exec_maven "$@" diff --git a/app/mvnw.cmd b/app/mvnw.cmd new file mode 100644 index 00000000..249bdf38 --- /dev/null +++ b/app/mvnw.cmd @@ -0,0 +1,149 @@ +<# : batch portion +@REM ---------------------------------------------------------------------------- +@REM Licensed to the Apache Software Foundation (ASF) under one +@REM or more contributor license agreements. See the NOTICE file +@REM distributed with this work for additional information +@REM regarding copyright ownership. The ASF licenses this file +@REM to you under the Apache License, Version 2.0 (the +@REM "License"); you may not use this file except in compliance +@REM with the License. You may obtain a copy of the License at +@REM +@REM http://www.apache.org/licenses/LICENSE-2.0 +@REM +@REM Unless required by applicable law or agreed to in writing, +@REM software distributed under the License is distributed on an +@REM "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +@REM KIND, either express or implied. See the License for the +@REM specific language governing permissions and limitations +@REM under the License. +@REM ---------------------------------------------------------------------------- + +@REM ---------------------------------------------------------------------------- +@REM Apache Maven Wrapper startup batch script, version 3.3.2 +@REM +@REM Optional ENV vars +@REM MVNW_REPOURL - repo url base for downloading maven distribution +@REM MVNW_USERNAME/MVNW_PASSWORD - user and password for downloading maven +@REM MVNW_VERBOSE - true: enable verbose log; others: silence the output +@REM ---------------------------------------------------------------------------- + +@IF "%__MVNW_ARG0_NAME__%"=="" (SET __MVNW_ARG0_NAME__=%~nx0) +@SET __MVNW_CMD__= +@SET __MVNW_ERROR__= +@SET __MVNW_PSMODULEP_SAVE=%PSModulePath% +@SET PSModulePath= +@FOR /F "usebackq tokens=1* delims==" %%A IN (`powershell -noprofile "& {$scriptDir='%~dp0'; $script='%__MVNW_ARG0_NAME__%'; icm -ScriptBlock ([Scriptblock]::Create((Get-Content -Raw '%~f0'))) -NoNewScope}"`) DO @( + IF "%%A"=="MVN_CMD" (set __MVNW_CMD__=%%B) ELSE IF "%%B"=="" (echo %%A) ELSE (echo %%A=%%B) +) +@SET PSModulePath=%__MVNW_PSMODULEP_SAVE% +@SET __MVNW_PSMODULEP_SAVE= +@SET __MVNW_ARG0_NAME__= +@SET MVNW_USERNAME= +@SET MVNW_PASSWORD= +@IF NOT "%__MVNW_CMD__%"=="" (%__MVNW_CMD__% %*) +@echo Cannot start maven from wrapper >&2 && exit /b 1 +@GOTO :EOF +: end batch / begin powershell #> + +$ErrorActionPreference = "Stop" +if ($env:MVNW_VERBOSE -eq "true") { + $VerbosePreference = "Continue" +} + +# calculate distributionUrl, requires .mvn/wrapper/maven-wrapper.properties +$distributionUrl = (Get-Content -Raw "$scriptDir/.mvn/wrapper/maven-wrapper.properties" | ConvertFrom-StringData).distributionUrl +if (!$distributionUrl) { + Write-Error "cannot read distributionUrl property in $scriptDir/.mvn/wrapper/maven-wrapper.properties" +} + +switch -wildcard -casesensitive ( $($distributionUrl -replace '^.*/','') ) { + "maven-mvnd-*" { + $USE_MVND = $true + $distributionUrl = $distributionUrl -replace '-bin\.[^.]*$',"-windows-amd64.zip" + $MVN_CMD = "mvnd.cmd" + break + } + default { + $USE_MVND = $false + $MVN_CMD = $script -replace '^mvnw','mvn' + break + } +} + +# apply MVNW_REPOURL and calculate MAVEN_HOME +# maven home pattern: ~/.m2/wrapper/dists/{apache-maven-,maven-mvnd--}/ +if ($env:MVNW_REPOURL) { + $MVNW_REPO_PATTERN = if ($USE_MVND) { "/org/apache/maven/" } else { "/maven/mvnd/" } + $distributionUrl = "$env:MVNW_REPOURL$MVNW_REPO_PATTERN$($distributionUrl -replace '^.*'+$MVNW_REPO_PATTERN,'')" +} +$distributionUrlName = $distributionUrl -replace '^.*/','' +$distributionUrlNameMain = $distributionUrlName -replace '\.[^.]*$','' -replace '-bin$','' +$MAVEN_HOME_PARENT = "$HOME/.m2/wrapper/dists/$distributionUrlNameMain" +if ($env:MAVEN_USER_HOME) { + $MAVEN_HOME_PARENT = "$env:MAVEN_USER_HOME/wrapper/dists/$distributionUrlNameMain" +} +$MAVEN_HOME_NAME = ([System.Security.Cryptography.MD5]::Create().ComputeHash([byte[]][char[]]$distributionUrl) | ForEach-Object {$_.ToString("x2")}) -join '' +$MAVEN_HOME = "$MAVEN_HOME_PARENT/$MAVEN_HOME_NAME" + +if (Test-Path -Path "$MAVEN_HOME" -PathType Container) { + Write-Verbose "found existing MAVEN_HOME at $MAVEN_HOME" + Write-Output "MVN_CMD=$MAVEN_HOME/bin/$MVN_CMD" + exit $? +} + +if (! $distributionUrlNameMain -or ($distributionUrlName -eq $distributionUrlNameMain)) { + Write-Error "distributionUrl is not valid, must end with *-bin.zip, but found $distributionUrl" +} + +# prepare tmp dir +$TMP_DOWNLOAD_DIR_HOLDER = New-TemporaryFile +$TMP_DOWNLOAD_DIR = New-Item -Itemtype Directory -Path "$TMP_DOWNLOAD_DIR_HOLDER.dir" +$TMP_DOWNLOAD_DIR_HOLDER.Delete() | Out-Null +trap { + if ($TMP_DOWNLOAD_DIR.Exists) { + try { Remove-Item $TMP_DOWNLOAD_DIR -Recurse -Force | Out-Null } + catch { Write-Warning "Cannot remove $TMP_DOWNLOAD_DIR" } + } +} + +New-Item -Itemtype Directory -Path "$MAVEN_HOME_PARENT" -Force | Out-Null + +# Download and Install Apache Maven +Write-Verbose "Couldn't find MAVEN_HOME, downloading and installing it ..." +Write-Verbose "Downloading from: $distributionUrl" +Write-Verbose "Downloading to: $TMP_DOWNLOAD_DIR/$distributionUrlName" + +$webclient = New-Object System.Net.WebClient +if ($env:MVNW_USERNAME -and $env:MVNW_PASSWORD) { + $webclient.Credentials = New-Object System.Net.NetworkCredential($env:MVNW_USERNAME, $env:MVNW_PASSWORD) +} +[Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12 +$webclient.DownloadFile($distributionUrl, "$TMP_DOWNLOAD_DIR/$distributionUrlName") | Out-Null + +# If specified, validate the SHA-256 sum of the Maven distribution zip file +$distributionSha256Sum = (Get-Content -Raw "$scriptDir/.mvn/wrapper/maven-wrapper.properties" | ConvertFrom-StringData).distributionSha256Sum +if ($distributionSha256Sum) { + if ($USE_MVND) { + Write-Error "Checksum validation is not supported for maven-mvnd. `nPlease disable validation by removing 'distributionSha256Sum' from your maven-wrapper.properties." + } + Import-Module $PSHOME\Modules\Microsoft.PowerShell.Utility -Function Get-FileHash + if ((Get-FileHash "$TMP_DOWNLOAD_DIR/$distributionUrlName" -Algorithm SHA256).Hash.ToLower() -ne $distributionSha256Sum) { + Write-Error "Error: Failed to validate Maven distribution SHA-256, your Maven distribution might be compromised. If you updated your Maven version, you need to update the specified distributionSha256Sum property." + } +} + +# unzip and move +Expand-Archive "$TMP_DOWNLOAD_DIR/$distributionUrlName" -DestinationPath "$TMP_DOWNLOAD_DIR" | Out-Null +Rename-Item -Path "$TMP_DOWNLOAD_DIR/$distributionUrlNameMain" -NewName $MAVEN_HOME_NAME | Out-Null +try { + Move-Item -Path "$TMP_DOWNLOAD_DIR/$MAVEN_HOME_NAME" -Destination $MAVEN_HOME_PARENT | Out-Null +} catch { + if (! (Test-Path -Path "$MAVEN_HOME" -PathType Container)) { + Write-Error "fail to move MAVEN_HOME" + } +} finally { + try { Remove-Item $TMP_DOWNLOAD_DIR -Recurse -Force | Out-Null } + catch { Write-Warning "Cannot remove $TMP_DOWNLOAD_DIR" } +} + +Write-Output "MVN_CMD=$MAVEN_HOME/bin/$MVN_CMD" diff --git a/app/package-lock.json b/app/package-lock.json deleted file mode 100644 index cad88337..00000000 --- a/app/package-lock.json +++ /dev/null @@ -1,1411 +0,0 @@ -{ - "name": "parasol-insurance", - "version": "1.0.0", - "lockfileVersion": 3, - "requires": true, - "packages": { - "": { - "name": "parasol-insurance", - "version": "1.0.0", - "hasInstallScript": true, - "license": "MIT", - "dependencies": { - "dotenv": "^8.2.0", - "dotenv-expand": "^5.1.0", - "npm-run-all": "^4.1.5", - "prettier": "^2.2.1", - "run-p": "^0.0.0" - }, - "engines": { - "node": ">=18.0.0" - } - }, - "node_modules/ansi-styles": { - "version": "3.2.1", - "resolved": 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+++ /dev/null @@ -1,56 +0,0 @@ -{ - "name": "parasol-insurance", - "version": "1.0.0", - "description": "Insurance Claim Processing.", - "author": "", - "license": "MIT", - "private": true, - "repository": { - "type": "git", - "url": "git+https://https://github.com/rh-aiservices-bu/parasol-insurance.git" - }, - "homepage": "https://github.com/rh-aiservices-bu/parasol-insurance/README.md", - "bugs": { - "url": "https://github.com/rh-aiservices-bu/parasol-insurance/issues" - }, - "engines": { - "node": ">=18.0.0" - }, - "scripts": { - "build": "run-p -l build:*", - "build:backend": "cd ./backend && export PATH=$PATH:/opt/app-root/src/.local/bin && python3 -m ensurepip --upgrade && pip3 install -r requirements.txt", - "build:frontend": "cd ./frontend && npm run build && cp -r ./dist/* ../backend/public", - "dev": "run-p -l dev:*", - "dev:backend": "cd ./backend && quarkus dev", - "dev:frontend": "cd ./frontend && npm run start:dev", - "format": "prettier --write \"backend/**/*.ts\" \"frontend/**/*.ts\" \"frontend/**/*.tsx\"", - "make": "make", - "make:build": "make build", - "make:deploy": "make deploy", - "make:login": "make login", - "make:undeploy": "make undeploy", - "make:push": "make push", - "postinstall": "run-p postinstall:*", - "postinstall:frontend": "cd ./frontend && npm install", - "start": "run-p start:*", - "start:backend": "cd ./backend && python3 app.py", - "start:frontend": "echo \"...available at ./frontend/public\"", - "test": "run-s test:backend test:frontend", - "test:backend": "cd ./backend && npm run test", - "test:frontend": "cd ./frontend && npm run test", - "test:e2e": "cd ./frontend && npm run test:e2e", - "test:accessibility": "cd ./frontend && npm run test:accessibility", - "test:integration": "cd ./frontend && npm run test:integration", - "test:unit": "cd ./frontend && npm run test:unit", - "test:fix": "run-s test:fix-backend test:fix-frontend", - "test:fix-backend": "cd ./backend && npm run test:fix", - "test:fix-frontend": "cd ./frontend && npm run test:fix" - }, - "dependencies": { - "dotenv": "^8.2.0", - "dotenv-expand": "^5.1.0", - "npm-run-all": "^4.1.5", - "prettier": "^2.2.1", - "run-p": "^0.0.0" - } -} diff --git a/app/backend/pom.xml b/app/pom.xml similarity index 87% rename from app/backend/pom.xml rename to app/pom.xml index 971ffead..8ccf8275 100644 --- a/app/backend/pom.xml +++ b/app/pom.xml @@ -10,7 +10,7 @@ 17 UTF-8 UTF-8 - 1.5.1 + 0.15.1 quarkus-bom io.quarkus.platform 3.11.0 @@ -26,6 +26,13 @@ pom import + + io.quarkiverse.langchain4j + quarkus-langchain4j-bom + ${quarkus.langchain4j.version} + pom + import + @@ -38,17 +45,16 @@ quarkus-rest-jackson - io.quarkus - quarkus-rest-jackson + io.quarkiverse.langchain4j + quarkus-langchain4j-openai io.quarkiverse.langchain4j - quarkus-langchain4j-openai - 0.13.1 + quarkus-langchain4j-ollama - io.quarkus - quarkus-websockets-next + io.quarkus + quarkus-websockets-next io.quarkus @@ -58,6 +64,11 @@ io.quarkus quarkus-hibernate-orm-panache + + io.quarkiverse.quinoa + quarkus-quinoa + 2.3.7 + io.quarkus quarkus-junit5 diff --git a/app/backend/src/main/java/org/parasol/ai/ClaimService.java b/app/src/main/java/org/parasol/ai/ClaimService.java similarity index 100% rename from app/backend/src/main/java/org/parasol/ai/ClaimService.java rename to app/src/main/java/org/parasol/ai/ClaimService.java diff --git a/app/backend/src/main/java/org/parasol/model/Claim.java b/app/src/main/java/org/parasol/model/Claim.java similarity index 100% rename from app/backend/src/main/java/org/parasol/model/Claim.java rename to app/src/main/java/org/parasol/model/Claim.java diff --git a/app/backend/src/main/java/org/parasol/model/ClaimBotQuery.java b/app/src/main/java/org/parasol/model/ClaimBotQuery.java similarity index 100% rename from app/backend/src/main/java/org/parasol/model/ClaimBotQuery.java rename to app/src/main/java/org/parasol/model/ClaimBotQuery.java diff --git a/app/backend/src/main/java/org/parasol/model/ClaimBotQueryResponse.java b/app/src/main/java/org/parasol/model/ClaimBotQueryResponse.java similarity index 100% rename from app/backend/src/main/java/org/parasol/model/ClaimBotQueryResponse.java rename to app/src/main/java/org/parasol/model/ClaimBotQueryResponse.java diff --git a/app/backend/src/main/java/org/parasol/resources/ClaimResource.java b/app/src/main/java/org/parasol/resources/ClaimResource.java similarity index 100% rename from app/backend/src/main/java/org/parasol/resources/ClaimResource.java rename to app/src/main/java/org/parasol/resources/ClaimResource.java diff --git a/app/backend/src/main/java/org/parasol/resources/ClaimWebsocketChatBot.java b/app/src/main/java/org/parasol/resources/ClaimWebsocketChatBot.java similarity index 83% rename from app/backend/src/main/java/org/parasol/resources/ClaimWebsocketChatBot.java rename to app/src/main/java/org/parasol/resources/ClaimWebsocketChatBot.java index 77a6b1bb..559cb8e4 100644 --- a/app/backend/src/main/java/org/parasol/resources/ClaimWebsocketChatBot.java +++ b/app/src/main/java/org/parasol/resources/ClaimWebsocketChatBot.java @@ -23,9 +23,8 @@ public void onOpen() { } @OnTextMessage public Multi onMessage(ClaimBotQuery query) { - return bot.chat(query.claim(), query.query()).map(resp -> { - return new ClaimBotQueryResponse("token", resp, ""); - }); + return bot.chat(query.claim(), query.query()) + .map(resp -> new ClaimBotQueryResponse("token", resp, "")); } } diff --git a/app/backend/src/main/java/org/parasol/resources/GreetingResource.java b/app/src/main/java/org/parasol/resources/GreetingResource.java similarity index 100% rename from app/backend/src/main/java/org/parasol/resources/GreetingResource.java rename to app/src/main/java/org/parasol/resources/GreetingResource.java diff --git a/app/src/main/resources/application.properties b/app/src/main/resources/application.properties new file mode 100644 index 00000000..2ae2e3d2 --- /dev/null +++ b/app/src/main/resources/application.properties @@ -0,0 +1,30 @@ +# RAG +# quarkus.langchain4j.easy-rag.path=src/main/resources/catalog + +# Default LangChain4J configuration +quarkus.langchain4j.chat-model.provider=openai +quarkus.langchain4j.log-requests=true +quarkus.langchain4j.log-responses=true + +# OpenAI +quarkus.langchain4j.openai.chat-model.temperature=0.3 +quarkus.langchain4j.openai.timeout=600s +quarkus.langchain4j.openai.chat-model.model-name=merlinite-7b-lab-Q4_K_M +quarkus.langchain4j.openai.base-url=http://localhost:8000/v1 + +# Ollama +quarkus.langchain4j.ollama.timeout=600s +# quarkus.langchain4j.ollama.base-url=http://127.0.0.1:11434 +quarkus.langchain4j.ollama.model-id=llama3 +quarkus.langchain4j.ollama.chat-model.temperature=0.3 + +#quarkus.http.host=0.0.0.0 +quarkus.http.port=8005 +quarkus.http.cors=true +quarkus.dev-ui.cors.enabled=false +#%dev.quarkus.http.cors.origins=/.*/ + +# Quinoa +quarkus.quinoa.package-manager-install=true +quarkus.quinoa.package-manager-install.node-version=22.2.0 +quarkus.quinoa.build-dir=dist diff --git a/app/backend/src/main/resources/import.sql b/app/src/main/resources/import.sql similarity index 100% rename from app/backend/src/main/resources/import.sql rename to app/src/main/resources/import.sql diff --git a/app/frontend/.editorconfig b/app/src/main/webui/.editorconfig similarity index 100% rename from app/frontend/.editorconfig rename to app/src/main/webui/.editorconfig diff --git a/app/frontend/.eslintrc.js b/app/src/main/webui/.eslintrc.js similarity index 100% rename from app/frontend/.eslintrc.js rename to app/src/main/webui/.eslintrc.js diff --git a/app/frontend/.gitignore b/app/src/main/webui/.gitignore similarity index 100% rename from app/frontend/.gitignore rename to app/src/main/webui/.gitignore diff --git a/app/frontend/.prettierignore b/app/src/main/webui/.prettierignore similarity index 100% rename from app/frontend/.prettierignore rename to app/src/main/webui/.prettierignore diff --git a/app/frontend/.prettierrc b/app/src/main/webui/.prettierrc similarity index 100% rename from app/frontend/.prettierrc rename to app/src/main/webui/.prettierrc diff --git a/app/frontend/README.md b/app/src/main/webui/README.md similarity index 100% rename from app/frontend/README.md rename to app/src/main/webui/README.md diff --git a/app/frontend/babel.config.js b/app/src/main/webui/babel.config.js similarity index 100% rename from app/frontend/babel.config.js rename to app/src/main/webui/babel.config.js diff --git a/app/frontend/dr-surge.js b/app/src/main/webui/dr-surge.js similarity index 100% rename from app/frontend/dr-surge.js rename to app/src/main/webui/dr-surge.js diff --git a/app/frontend/jest.config.js b/app/src/main/webui/jest.config.js similarity index 100% rename from app/frontend/jest.config.js rename to app/src/main/webui/jest.config.js diff --git a/app/frontend/package.json b/app/src/main/webui/package.json similarity index 100% rename from app/frontend/package.json rename to app/src/main/webui/package.json diff --git a/app/frontend/scripts/dotenv.js b/app/src/main/webui/scripts/dotenv.js similarity index 100% rename from app/frontend/scripts/dotenv.js rename to app/src/main/webui/scripts/dotenv.js diff --git a/app/frontend/src/app/app.css b/app/src/main/webui/src/app/app.css similarity index 100% rename from app/frontend/src/app/app.css rename to app/src/main/webui/src/app/app.css diff --git a/app/frontend/src/app/app.test.tsx b/app/src/main/webui/src/app/app.test.tsx similarity index 100% rename from app/frontend/src/app/app.test.tsx rename to app/src/main/webui/src/app/app.test.tsx diff --git a/app/frontend/src/app/assets/bgimages/Logo-Red_Hat-OpenShift_AI-A-Reverse-RGB.svg b/app/src/main/webui/src/app/assets/bgimages/Logo-Red_Hat-OpenShift_AI-A-Reverse-RGB.svg similarity index 100% rename from app/frontend/src/app/assets/bgimages/Logo-Red_Hat-OpenShift_AI-A-Reverse-RGB.svg rename to 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app/src/main/webui/src/app/assets/images/new_car3.png diff --git a/app/frontend/src/app/assets/images/original_car0.jpg b/app/src/main/webui/src/app/assets/images/original_car0.jpg similarity index 100% rename from app/frontend/src/app/assets/images/original_car0.jpg rename to app/src/main/webui/src/app/assets/images/original_car0.jpg diff --git a/app/frontend/src/app/assets/images/original_car1.jpg b/app/src/main/webui/src/app/assets/images/original_car1.jpg similarity index 100% rename from app/frontend/src/app/assets/images/original_car1.jpg rename to app/src/main/webui/src/app/assets/images/original_car1.jpg diff --git a/app/frontend/src/app/assets/images/original_car2.jpg b/app/src/main/webui/src/app/assets/images/original_car2.jpg similarity index 100% rename from app/frontend/src/app/assets/images/original_car2.jpg rename to app/src/main/webui/src/app/assets/images/original_car2.jpg diff --git a/app/frontend/src/app/assets/images/original_car3.jpg b/app/src/main/webui/src/app/assets/images/original_car3.jpg similarity index 100% rename from app/frontend/src/app/assets/images/original_car3.jpg rename to app/src/main/webui/src/app/assets/images/original_car3.jpg diff --git a/app/frontend/src/app/assets/images/original_car4.jpg b/app/src/main/webui/src/app/assets/images/original_car4.jpg similarity index 100% rename from app/frontend/src/app/assets/images/original_car4.jpg rename to app/src/main/webui/src/app/assets/images/original_car4.jpg diff --git a/app/frontend/src/app/assets/images/original_car5.jpg b/app/src/main/webui/src/app/assets/images/original_car5.jpg similarity index 100% rename from app/frontend/src/app/assets/images/original_car5.jpg rename to app/src/main/webui/src/app/assets/images/original_car5.jpg diff --git a/app/frontend/src/app/assets/images/original_car6.jpg b/app/src/main/webui/src/app/assets/images/original_car6.jpg similarity index 100% rename from app/frontend/src/app/assets/images/original_car6.jpg rename to app/src/main/webui/src/app/assets/images/original_car6.jpg diff --git a/app/frontend/src/app/assets/images/sample.png b/app/src/main/webui/src/app/assets/images/sample.png similarity index 100% rename from app/frontend/src/app/assets/images/sample.png rename to app/src/main/webui/src/app/assets/images/sample.png diff --git a/app/frontend/src/app/components/AppLayout/AppLayout.tsx b/app/src/main/webui/src/app/components/AppLayout/AppLayout.tsx similarity index 100% rename from app/frontend/src/app/components/AppLayout/AppLayout.tsx rename to app/src/main/webui/src/app/components/AppLayout/AppLayout.tsx diff --git a/app/frontend/src/app/components/Chat/Chat.tsx b/app/src/main/webui/src/app/components/Chat/Chat.tsx similarity index 100% rename from app/frontend/src/app/components/Chat/Chat.tsx rename to app/src/main/webui/src/app/components/Chat/Chat.tsx diff --git a/app/frontend/src/app/components/ClaimDetail/ClaimDetail.tsx b/app/src/main/webui/src/app/components/ClaimDetail/ClaimDetail.tsx similarity index 100% rename from app/frontend/src/app/components/ClaimDetail/ClaimDetail.tsx rename to app/src/main/webui/src/app/components/ClaimDetail/ClaimDetail.tsx diff --git a/app/frontend/src/app/components/ClaimsList/ClaimsList.tsx b/app/src/main/webui/src/app/components/ClaimsList/ClaimsList.tsx similarity index 100% rename from app/frontend/src/app/components/ClaimsList/ClaimsList.tsx rename to app/src/main/webui/src/app/components/ClaimsList/ClaimsList.tsx diff --git a/app/frontend/src/app/components/Empty/Empty.tsx b/app/src/main/webui/src/app/components/Empty/Empty.tsx similarity index 100% rename from app/frontend/src/app/components/Empty/Empty.tsx rename to app/src/main/webui/src/app/components/Empty/Empty.tsx diff --git a/app/frontend/src/app/components/ImageCarousel/ImageCarousel.tsx b/app/src/main/webui/src/app/components/ImageCarousel/ImageCarousel.tsx similarity index 100% rename from app/frontend/src/app/components/ImageCarousel/ImageCarousel.tsx rename to app/src/main/webui/src/app/components/ImageCarousel/ImageCarousel.tsx diff --git a/app/frontend/src/app/components/NotFound/NotFound.tsx b/app/src/main/webui/src/app/components/NotFound/NotFound.tsx similarity index 100% rename from app/frontend/src/app/components/NotFound/NotFound.tsx rename to app/src/main/webui/src/app/components/NotFound/NotFound.tsx diff --git a/app/frontend/src/app/components/OriginalApp/OriginalApp.tsx b/app/src/main/webui/src/app/components/OriginalApp/OriginalApp.tsx similarity index 100% rename from app/frontend/src/app/components/OriginalApp/OriginalApp.tsx rename to app/src/main/webui/src/app/components/OriginalApp/OriginalApp.tsx diff --git a/app/frontend/src/app/config.tsx b/app/src/main/webui/src/app/config.tsx similarity index 100% rename from app/frontend/src/app/config.tsx rename to app/src/main/webui/src/app/config.tsx diff --git a/app/frontend/src/app/index.tsx b/app/src/main/webui/src/app/index.tsx similarity index 100% rename from app/frontend/src/app/index.tsx rename to app/src/main/webui/src/app/index.tsx diff --git a/app/frontend/src/app/routes.tsx b/app/src/main/webui/src/app/routes.tsx similarity index 100% rename from app/frontend/src/app/routes.tsx rename to app/src/main/webui/src/app/routes.tsx diff --git a/app/frontend/src/app/utils/useDocumentTitle.ts b/app/src/main/webui/src/app/utils/useDocumentTitle.ts similarity index 100% rename from app/frontend/src/app/utils/useDocumentTitle.ts rename to app/src/main/webui/src/app/utils/useDocumentTitle.ts diff --git a/app/frontend/src/favicon.png b/app/src/main/webui/src/favicon.png similarity index 100% rename from app/frontend/src/favicon.png rename to app/src/main/webui/src/favicon.png diff --git a/app/frontend/src/favicon.svg b/app/src/main/webui/src/favicon.svg similarity index 100% rename from app/frontend/src/favicon.svg rename to app/src/main/webui/src/favicon.svg diff --git a/app/frontend/src/index.html b/app/src/main/webui/src/index.html similarity index 100% rename from app/frontend/src/index.html rename to app/src/main/webui/src/index.html diff --git a/app/frontend/src/index.tsx b/app/src/main/webui/src/index.tsx similarity index 100% rename from app/frontend/src/index.tsx rename to app/src/main/webui/src/index.tsx diff --git a/app/frontend/src/typings.d.ts b/app/src/main/webui/src/typings.d.ts similarity index 100% rename from app/frontend/src/typings.d.ts rename to app/src/main/webui/src/typings.d.ts diff --git a/app/frontend/stylePaths.js b/app/src/main/webui/stylePaths.js similarity index 100% rename from app/frontend/stylePaths.js rename to app/src/main/webui/stylePaths.js diff --git a/app/frontend/tsconfig.json b/app/src/main/webui/tsconfig.json similarity index 100% rename from app/frontend/tsconfig.json rename to app/src/main/webui/tsconfig.json diff --git a/app/frontend/webpack.common.js b/app/src/main/webui/webpack.common.js similarity index 100% rename from app/frontend/webpack.common.js rename to app/src/main/webui/webpack.common.js diff --git a/app/frontend/webpack.dev.js b/app/src/main/webui/webpack.dev.js similarity index 100% rename from app/frontend/webpack.dev.js rename to app/src/main/webui/webpack.dev.js diff --git a/app/frontend/webpack.prod.js b/app/src/main/webui/webpack.prod.js similarity index 100% rename from app/frontend/webpack.prod.js rename to app/src/main/webui/webpack.prod.js diff --git a/app/start-dev.sh b/app/start-dev.sh deleted file mode 100755 index b896a088..00000000 --- a/app/start-dev.sh +++ /dev/null @@ -1 +0,0 @@ -npm run dev \ No newline at end of file From 1636ac8d0338c587cd458ff3696cea289ba7a4a7 Mon Sep 17 00:00:00 2001 From: Eric Deandrea Date: Thu, 6 Jun 2024 08:07:24 -0400 Subject: [PATCH 09/26] Enable SPA routing in Quarkus Quinoa Updated the application.properties file to turn on Single Page App (SPA) routing for the Quarkus Quinoa application. This change will simplify the routing process in our single page application setup. --- app/src/main/resources/application.properties | 1 + 1 file changed, 1 insertion(+) diff --git a/app/src/main/resources/application.properties b/app/src/main/resources/application.properties index 2ae2e3d2..ddba51b3 100644 --- a/app/src/main/resources/application.properties +++ b/app/src/main/resources/application.properties @@ -28,3 +28,4 @@ quarkus.dev-ui.cors.enabled=false quarkus.quinoa.package-manager-install=true quarkus.quinoa.package-manager-install.node-version=22.2.0 quarkus.quinoa.build-dir=dist +quarkus.quinoa.enable-spa-routing=true From 932166c2205e4f874a1036cf18856f03bca2f25a Mon Sep 17 00:00:00 2001 From: James Labocki Date: Thu, 6 Jun 2024 09:27:27 -0400 Subject: [PATCH 10/26] Update README.md --- README.md | 30 +----------------------------- 1 file changed, 1 insertion(+), 29 deletions(-) diff --git a/README.md b/README.md index a695a480..b534417d 100644 --- a/README.md +++ b/README.md @@ -14,35 +14,7 @@ A [Quarkus](https://quarkus.io) + [React](https://react.dev/) AI app for managin ## To Configure on InstructLab instance of Red Hat Demo Platform -Install Node.js -``` -curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/master/install.sh > install.sh -chmod +x install.sh -./install.sh -``` - -Install zip -``` -sudo dnf install zip -y -``` - -Install sdkman in order to get newer versions of Java and Maven. Then install Quarkus, Java, and Maven. -``` -curl -s "https://get.sdkman.io" | bash -sdk install quarkus -sdk install java 22.0.1-tem -sdk install maven -``` - -edit app/frontend/webpack.dev.js and insert ` allowedHosts: 'all',` after the line ` historyApiFallback: true,` - -edit the confix.tsx file for the front end and change localhost to the hostname of your system - -``` -vi ~/code/parasol-insurance/app/frontend/src/app/config.tsx -``` - -After this you can follow the instructions in the **Running** section. +You can execute [this](https://gist.githubusercontent.com/jameslabocki/748e191006d0e311dec21c72e95570d1/raw/3c40273c962c3ee598a13dd853b831ac9df884ff/gistfile1.txt) to install the parasol app on the InstructLab instance for Red Hat Demo Platform. From 1f20dc53b13f596cd7f3c7d59809b495d2ea58aa Mon Sep 17 00:00:00 2001 From: James Labocki Date: Thu, 6 Jun 2024 10:05:19 -0400 Subject: [PATCH 11/26] Update application.properties --- app/src/main/resources/application.properties | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/app/src/main/resources/application.properties b/app/src/main/resources/application.properties index ddba51b3..63da5042 100644 --- a/app/src/main/resources/application.properties +++ b/app/src/main/resources/application.properties @@ -18,11 +18,11 @@ quarkus.langchain4j.ollama.timeout=600s quarkus.langchain4j.ollama.model-id=llama3 quarkus.langchain4j.ollama.chat-model.temperature=0.3 -#quarkus.http.host=0.0.0.0 +quarkus.http.host=0.0.0.0 quarkus.http.port=8005 quarkus.http.cors=true quarkus.dev-ui.cors.enabled=false -#%dev.quarkus.http.cors.origins=/.*/ +quarkus.http.cors.origins=* # Quinoa quarkus.quinoa.package-manager-install=true From c515177c1ce37a8bf6ff04ff317fc834841c86f2 Mon Sep 17 00:00:00 2001 From: James Falkner Date: Thu, 6 Jun 2024 10:13:59 -0400 Subject: [PATCH 12/26] Update config.tsx to not require hard-code hostname --- app/src/main/webui/src/app/config.tsx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/app/src/main/webui/src/app/config.tsx b/app/src/main/webui/src/app/config.tsx index 297d9c2e..c96e03ba 100644 --- a/app/src/main/webui/src/app/config.tsx +++ b/app/src/main/webui/src/app/config.tsx @@ -1,5 +1,5 @@ const config = { - backend_api_url: process.env.BACKEND_API_URL || 'http://localhost:8005/api', + backend_api_url: process.env.BACKEND_API_URL || window.location.protocol + '//' + window.location.host + '/api', }; -export default config; \ No newline at end of file +export default config; From d14387fda96b5f052f98a85a55e7048f0b226c56 Mon Sep 17 00:00:00 2001 From: James Falkner Date: Thu, 6 Jun 2024 10:45:42 -0400 Subject: [PATCH 13/26] gotta get back in time --- app/src/main/resources/import.sql | 39 ++++++++++++++++--------------- 1 file changed, 20 insertions(+), 19 deletions(-) diff --git a/app/src/main/resources/import.sql b/app/src/main/resources/import.sql index 46c498aa..67000fb1 100644 --- a/app/src/main/resources/import.sql +++ b/app/src/main/resources/import.sql @@ -1,41 +1,42 @@ INSERT INTO claim(id, claim_number,category,policy_number,client_name,subject, body, summary, location, claim_time, sentiment) - VALUES (1, 'CLM202401', 'Multiple vehicle', 'AC-987654321', 'Sarah Turner','Claim for Recent Car Accident - Policy Number: AC-987654321', ' + VALUES (1, 'CLM195501', 'Multiple vehicle', 'AC-987654321', 'Marty McFly','Claim for Recent Car Accident - Policy Number: AC-987654321', ' Dear Parasol Insurance, - I hope this email finds you well. My name is Sarah Turner, and I am writing to file a claim for a recent car accident that occurred on January 2nd, 2024, at approximately 3:30 PM. My policy number is AC-987654321. + I hope this email finds you well. My name is Marty McFly, and I am writing to file a claim for a recent car accident that occurred on January 2nd, 1955, at approximately 3:30 PM. My policy number is AC-987654321. - The accident took place at the intersection of Birch Street and Willow Avenue in the city of Evergreen. I was driving my vehicle, a black Toyota Camry with license plate number DEF-456, heading south on Birch Street. At the intersection, the traffic signal was green, and I proceeded through the intersection. + The accident took place at the intersection of Colima Road and Azusa Avenue in the city of Hill Valley. I was driving my vehicle, a silver Delorean DMC-12 with license plate number OUTA-TIME, heading south on Colima Road at approximately 88 mph. At the intersection, the traffic signal was green, and I proceeded through the intersection. - At the same time, another vehicle, a blue Chevrolet Traverse with license plate number GHI-789, was traveling west on Willow Avenue. Unfortunately, the driver failed to stop at the red traffic signal, resulting in a collision with the front passenger side of my vehicle. + At the same time, another vehicle, a blue Type 2 Volkswagen Bus with license plate number BIF-RULZ, was traveling west on Azusa Avenue. Unfortunately, the driver failed to stop at the red traffic signal, resulting in a collision with the front passenger side of my vehicle. - The impact caused significant damage to both vehicles. The front bumper and right headlight of my Toyota Camry are extensively damaged, and there are also damages to the front driver''s side of the Chevrolet Traverse. Fortunately, no injuries were sustained during the accident, and both drivers were able to move their vehicles to the side of the road. + The impact caused significant damage to both vehicles. The front bumper and right headlight of my Delorean are extensively damaged, and the collision cause irreparable damage to the flux capacitor and driver''s side gull-wing door mechanism. There are also damages to the front driver''s side of the Volkswagen Bus. Fortunately, no injuries were sustained during the accident, and both drivers were able to move their vehicles to the side of the road. - I promptly exchanged information with the other driver, Mr. Daniel Reynolds, including our names, phone numbers, insurance details, and a brief description of the accident. Additionally, I took photos of the accident scene, including the damages to both vehicles and the position of the traffic signal. + I promptly exchanged information with the other driver, Mr. Biff Tanner, including our names, phone numbers, insurance details, and a brief description of the accident. Additionally, I took photos of the accident scene, including the damages to both vehicles and the position of the traffic signal. - I have attached the necessary documents to this email, including the photos, a copy of the police report filed at the Evergreen Police Department, and the estimate for the repair costs from Evergreen Auto Repair, where I have taken my vehicle for assessment. + I have attached the necessary documents to this email, including the photos, a copy of the police report filed at the Hill Valley Police Department, and the estimate for the repair costs from Hill Valley Auto Repair, where I have taken my vehicle for assessment. - I kindly request your prompt attention to this matter and would appreciate any guidance on the next steps in the claims process. If you require any additional information or documentation, please do not hesitate to contact me at (555) 123-4567 or sarah.turner@email.com. + I kindly request your prompt attention to this matter and would appreciate any guidance on the next steps in the claims process. If you require any additional information or documentation, please do not hesitate to contact me at (916) 555-4385 or marty.mcfly@email.com. Thank you for your assistance, and I look forward to a swift resolution of this claim. Sincerely, - Sarah Turner - 123 Oak Street - Evergreen, CA 98765 - (555) 123-4567 - sarah.turner@email.com + + Marty McFly + 9303 Lyon Drive + Hill Valley, CA 95420 + (916) 555-4385 + marty.mcfly@email.com ', ' - On January 2, 2024, at around 3:30 PM, a car accident occurred at the intersection of Birch Street and Willow Avenue in Evergreen. The involved parties were Sarah Turner, driving a black Toyota Camry (DEF-456), and Daniel Reynolds in a blue Chevrolet Traverse (GHI-789). + On January 2nd, 1955, at around 3:30 PM, a car accident occurred at the intersection of Colima Road and Azusa Avenue in Hill Vallet. The involved parties were Marty McFly, driving a silver Delorean DMC-12 (OUTA-TIME), and Biff Tanner in a blue Type 2 Volkswagen Bus (BIF-RULZ). - Sarah was heading south on Birch Street when Daniel failed to stop at the red traffic signal on Willow Avenue, causing a collision with Sarah''s vehicle. Both drivers exchanged information and took photos of the accident scene, which included damages to the front passenger side of Sarah''s Toyota Camry and the front driver''s side of Daniel''s Chevrolet Traverse. No injuries were reported. + Marty was heading south on Colima Road when Biff failed to stop at the red traffic signal on Asuza Avenue, causing a collision with Marty''s vehicle. Both drivers exchanged information and took photos of the accident scene, which included damages to the front driver and passenger side of Marty''s Delorean DMC-12 and the front driver''s side of Biff''s Volkswagen Bus. No injuries were reported. - Sarah has attached necessary documents, such as photos, a police report, and an estimate for repair costs, to her email. She requests prompt attention to the claim and is available at (555) 123-4567 or sarah.turner@email.com for any additional information or documentation needed. + Marty has attached necessary documents, such as photos, a police report, and an estimate for repair costs, to his email. He requests prompt attention to the claim and is available at (916) 555-4385 or marty.mcfly@email.com for any additional information or documentation needed. ', - 'Intersection of Birch Street and Willow Avenue in the city of Evergreen', - 'January 2nd, 2024, at approximately 3:30 PM', - 'The sender, Sarah Turner, expresses a polite and professional tone in her email. She is respectful and detailed in her description of the car accident and the subsequent steps she took to file a claim. She requests prompt attention to the matter and provides all necessary documentation. Overall, her sentiment is one of being proactive and cooperative in the claims process.' + 'Intersection of Colima Road and Asuza Avenue in the city of Hill Valley', + 'January 2nd, 1955, at approximately 3:30 PM', + 'The sender, Marty McFly, expresses a polite and professional tone in his email. He is respectful and detailed in his description of the car accident and the subsequent steps he took to file a claim. He requests prompt attention to the matter and provides all necessary documentation. Overall, his sentiment is one of being proactive and cooperative in the claims process.' ); INSERT INTO claim(id, claim_number,category,policy_number,client_name,subject, body, summary, location, claim_time, sentiment) From 2284b8e6da690283c8849779f91fd2a304d6d676 Mon Sep 17 00:00:00 2001 From: James Falkner Date: Thu, 6 Jun 2024 11:06:01 -0400 Subject: [PATCH 14/26] dont need roads --- .../src/app/assets/images/car1-processed.jpg | Bin 35763 -> 80598 bytes .../src/app/assets/images/original_car1.jpg | Bin 17581 -> 78943 bytes 2 files changed, 0 insertions(+), 0 deletions(-) diff --git a/app/src/main/webui/src/app/assets/images/car1-processed.jpg b/app/src/main/webui/src/app/assets/images/car1-processed.jpg index ef7f7d55eeb361bfd2a3fe9a18cb665555503db3..127b13f10077c31a12d271cdd6125cd64f7603da 100644 GIT binary patch literal 80598 zcmbTcWl$VZ*DgA^1PL+(cXt~kxVysu10=XZa7zdQ5@doqgUbNJ;O@cQ-66OWf+U1M z4)6P&y0_~7y65b!-qlrGYCYY%mp$v>^1p4sOLb*6WdI5)0D$s*0sgH46ad(mm{^z? 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zfzs&E2WZw=!@BOlk+y(4V>KdM2oypcoFNRQ&QBve(M2@1VtWggOtAr%Z*oZ|{FcUCGv`8vDEY&`cgS&k%@DhnkcPS Date: Thu, 6 Jun 2024 15:04:53 -0400 Subject: [PATCH 15/26] Some cleanup and adding some tests --- .github/dependabot.yml | 13 ++ .github/workflows/simple-build-test.yml | 55 +++++++ app/pom.xml | 44 +++++- .../java/org/parasol/ai/ClaimService.java | 10 +- .../main/java/org/parasol/model/Claim.java | 14 +- .../java/org/parasol/model/ClaimBotQuery.java | 6 - .../parasol/model/ClaimBotQueryResponse.java | 6 - .../resources/ClaimWebsocketChatBot.java | 19 ++- .../parasol/resources/GreetingResource.java | 16 -- app/src/main/resources/application.properties | 8 +- .../parasol/resources/ClaimResourceTests.java | 110 +++++++++++++ .../resources/ClaimWebsocketChatBotTests.java | 134 ++++++++++++++++ .../org/parasol/ui/ClaimsDetailPageTests.java | 93 +++++++++++ .../org/parasol/ui/ClaimsListPageTests.java | 145 ++++++++++++++++++ 14 files changed, 628 insertions(+), 45 deletions(-) create mode 100644 .github/dependabot.yml create mode 100644 .github/workflows/simple-build-test.yml delete mode 100644 app/src/main/java/org/parasol/resources/GreetingResource.java create mode 100644 app/src/test/java/org/parasol/resources/ClaimResourceTests.java create mode 100644 app/src/test/java/org/parasol/resources/ClaimWebsocketChatBotTests.java create mode 100644 app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java create mode 100644 app/src/test/java/org/parasol/ui/ClaimsListPageTests.java diff --git a/.github/dependabot.yml b/.github/dependabot.yml new file mode 100644 index 00000000..cb616581 --- /dev/null +++ b/.github/dependabot.yml @@ -0,0 +1,13 @@ +version: 2 +updates: + - package-ecosystem: maven + directory: app + schedule: + interval: daily + target-branch: dev + + - package-ecosystem: github-actions + directory: / + schedule: + interval: daily + target-branch: dev \ No newline at end of file diff --git a/.github/workflows/simple-build-test.yml b/.github/workflows/simple-build-test.yml new file mode 100644 index 00000000..9c95f5f2 --- /dev/null +++ b/.github/workflows/simple-build-test.yml @@ -0,0 +1,55 @@ +name: Simple build and test + +on: + push: + branches: + - dev + paths-ignore: + - '**/*.md' + - '.github/dependabot.yml' + - '.github/workflows/dependabot-automerge.yml' + pull_request: + branches: + - dev + paths-ignore: + - '**/*.md' + - '.github/dependabot.yml' + - '.github/workflows/dependabot-automerge.yml' + workflow_dispatch: + +concurrency: + group: "workflow = ${{ github.workflow }}, ref = ${{ github.event.ref }}, pr = ${{ github.event.pull_request.id }}" + cancel-in-progress: ${{ github.event_name == 'pull_request' }} + +jobs: + jvm-build-test: + runs-on: ubuntu-latest + strategy: + fail-fast: false + matrix: + java: + - '17' + - '21' + services: + ollama: + image: ollama/ollama + ports: + - 11434:11434 + name: "build-test-${{ matrix.java }}" + steps: + - uses: actions/checkout@v4 + + - name: Setup Java ${{ matrix.java }} + uses: actions/setup-java@v4 + with: + java-version: ${{ matrix.java }} + distribution: temurin + cache: maven + + - name: "build-test-jvm-java${{ matrix.java }}" + working-directory: app + run: | + ./mvnw -B clean verify \ + -Dquarkus.langchain4j.chat-model.provider=ollama \ + -Dquarkus.http.host=0.0.0.0 \ + -Dmaven.compiler.release=${{ matrix.java }} \ No newline at end of file diff --git a/app/pom.xml b/app/pom.xml index 8ccf8275..1989c556 100644 --- a/app/pom.xml +++ b/app/pom.xml @@ -6,11 +6,14 @@ insurance-app 1.0.0-SNAPSHOT + 3.26.0 3.12.1 17 UTF-8 UTF-8 0.15.1 + 1.0.0 + 2.3.7 quarkus-bom io.quarkus.platform 3.11.0 @@ -67,18 +70,51 @@ io.quarkiverse.quinoa quarkus-quinoa - 2.3.7 + ${quarkus.quinoa.version} io.quarkus quarkus-junit5 test + + io.quarkus + quarkus-junit5-mockito + test + + + io.quarkus + quarkus-panache-mock + test + io.rest-assured rest-assured test + + io.quarkiverse.quinoa + quarkus-quinoa-testing + ${quarkus.quinoa.version} + test + + + io.quarkiverse.playwright + quarkus-playwright + ${quarkus.playwright.version} + test + + + org.assertj + assertj-core + ${assertj.version} + test + + + org.awaitility + awaitility + test + @@ -114,6 +150,9 @@ org.jboss.logmanager.LogManager ${maven.home} + + http://localhost:8081/api + @@ -133,6 +172,9 @@ org.jboss.logmanager.LogManager ${maven.home} + + http://localhost:8081/api + diff --git a/app/src/main/java/org/parasol/ai/ClaimService.java b/app/src/main/java/org/parasol/ai/ClaimService.java index 1c96a119..05d7a630 100644 --- a/app/src/main/java/org/parasol/ai/ClaimService.java +++ b/app/src/main/java/org/parasol/ai/ClaimService.java @@ -1,13 +1,13 @@ package org.parasol.ai; +import jakarta.enterprise.context.SessionScoped; + import org.parasol.model.ClaimBotQuery; -import org.parasol.model.ClaimBotQueryResponse; import dev.langchain4j.service.SystemMessage; import dev.langchain4j.service.UserMessage; import io.quarkiverse.langchain4j.RegisterAiService; import io.smallrye.mutiny.Multi; -import jakarta.enterprise.context.SessionScoped; @RegisterAiService @SessionScoped @@ -22,9 +22,9 @@ public interface ClaimService { ) @UserMessage(""" Claim Summary: - {{claim}} + {{query.claim}} - Question: {{query}} + Question: {{query.query}} """) - Multi chat(String claim, String query); + Multi chat(ClaimBotQuery query); } diff --git a/app/src/main/java/org/parasol/model/Claim.java b/app/src/main/java/org/parasol/model/Claim.java index 460a3d4b..9e839de4 100644 --- a/app/src/main/java/org/parasol/model/Claim.java +++ b/app/src/main/java/org/parasol/model/Claim.java @@ -1,16 +1,20 @@ package org.parasol.model; -import io.quarkus.hibernate.orm.panache.PanacheEntity; import jakarta.persistence.Column; import jakarta.persistence.Entity; +import io.quarkus.hibernate.orm.panache.PanacheEntity; + +import com.fasterxml.jackson.databind.PropertyNamingStrategies.SnakeCaseStrategy; +import com.fasterxml.jackson.databind.annotation.JsonNaming; + @Entity +@JsonNaming(SnakeCaseStrategy.class) public class Claim extends PanacheEntity { - - public String claim_number; + public String claimNumber; public String category; - public String policy_number; - public String client_name; + public String policyNumber; + public String clientName; public String subject; @Column(length = 5000) public String body; diff --git a/app/src/main/java/org/parasol/model/ClaimBotQuery.java b/app/src/main/java/org/parasol/model/ClaimBotQuery.java index 5dd020fd..d342f661 100644 --- a/app/src/main/java/org/parasol/model/ClaimBotQuery.java +++ b/app/src/main/java/org/parasol/model/ClaimBotQuery.java @@ -1,11 +1,5 @@ package org.parasol.model; -import com.fasterxml.jackson.annotation.JsonCreator; - public record ClaimBotQuery(String claim, String query) { - @JsonCreator - public ClaimBotQuery { - } - } diff --git a/app/src/main/java/org/parasol/model/ClaimBotQueryResponse.java b/app/src/main/java/org/parasol/model/ClaimBotQueryResponse.java index 8a8a278a..fc192b33 100644 --- a/app/src/main/java/org/parasol/model/ClaimBotQueryResponse.java +++ b/app/src/main/java/org/parasol/model/ClaimBotQueryResponse.java @@ -1,11 +1,5 @@ package org.parasol.model; -import com.fasterxml.jackson.annotation.JsonCreator; - public record ClaimBotQueryResponse(String type, String token, String source) { - @JsonCreator - public ClaimBotQueryResponse { - } - } diff --git a/app/src/main/java/org/parasol/resources/ClaimWebsocketChatBot.java b/app/src/main/java/org/parasol/resources/ClaimWebsocketChatBot.java index 559cb8e4..b54bb3c0 100644 --- a/app/src/main/java/org/parasol/resources/ClaimWebsocketChatBot.java +++ b/app/src/main/java/org/parasol/resources/ClaimWebsocketChatBot.java @@ -4,26 +4,37 @@ import org.parasol.model.ClaimBotQuery; import org.parasol.model.ClaimBotQueryResponse; +import io.quarkus.logging.Log; +import io.quarkus.websockets.next.OnClose; import io.quarkus.websockets.next.OnOpen; import io.quarkus.websockets.next.OnTextMessage; import io.quarkus.websockets.next.WebSocket; +import io.quarkus.websockets.next.WebSocketConnection; + import io.smallrye.mutiny.Multi; @WebSocket(path = "/ws/query") public class ClaimWebsocketChatBot { - private final ClaimService bot; + private final ClaimService bot; public ClaimWebsocketChatBot(ClaimService bot) { this.bot = bot; } @OnOpen - public void onOpen() { - System.out.println("Websocket opened"); + public void onOpen(WebSocketConnection connection) { + Log.infof("Websocket connection %s opened", connection.id()); + } + + @OnClose + public void onClose(WebSocketConnection connection) { + Log.infof("Websocket connection %s closed", connection.id()); } + @OnTextMessage public Multi onMessage(ClaimBotQuery query) { - return bot.chat(query.claim(), query.query()) + return bot.chat(query) + .invoke(response -> Log.debugf("Got chat response: %s", response)) .map(resp -> new ClaimBotQueryResponse("token", resp, "")); } } diff --git a/app/src/main/java/org/parasol/resources/GreetingResource.java b/app/src/main/java/org/parasol/resources/GreetingResource.java deleted file mode 100644 index 992cbcd4..00000000 --- a/app/src/main/java/org/parasol/resources/GreetingResource.java +++ /dev/null @@ -1,16 +0,0 @@ -package org.parasol.resources; - -import jakarta.ws.rs.GET; -import jakarta.ws.rs.Path; -import jakarta.ws.rs.Produces; -import jakarta.ws.rs.core.MediaType; - -@Path("/hello") -public class GreetingResource { - - @GET - @Produces(MediaType.TEXT_PLAIN) - public String hello() { - return "Hello from Quarkus REST"; - } -} diff --git a/app/src/main/resources/application.properties b/app/src/main/resources/application.properties index 63da5042..927d549a 100644 --- a/app/src/main/resources/application.properties +++ b/app/src/main/resources/application.properties @@ -14,15 +14,19 @@ quarkus.langchain4j.openai.base-url=http://localhost:8000/v1 # Ollama quarkus.langchain4j.ollama.timeout=600s -# quarkus.langchain4j.ollama.base-url=http://127.0.0.1:11434 quarkus.langchain4j.ollama.model-id=llama3 quarkus.langchain4j.ollama.chat-model.temperature=0.3 quarkus.http.host=0.0.0.0 quarkus.http.port=8005 quarkus.http.cors=true -quarkus.dev-ui.cors.enabled=false quarkus.http.cors.origins=* +quarkus.dev-ui.cors.enabled=false +#%dev.quarkus.http.cors.origins=/.*/ + +quarkus.hibernate-orm.physical-naming-strategy=org.hibernate.boot.model.naming.CamelCaseToUnderscoresNamingStrategy +quarkus.log.category."org.parasol".level=DEBUG +%dev,test.quarkus.log.console.level=DEBUG # Quinoa quarkus.quinoa.package-manager-install=true diff --git a/app/src/test/java/org/parasol/resources/ClaimResourceTests.java b/app/src/test/java/org/parasol/resources/ClaimResourceTests.java new file mode 100644 index 00000000..005820a7 --- /dev/null +++ b/app/src/test/java/org/parasol/resources/ClaimResourceTests.java @@ -0,0 +1,110 @@ +package org.parasol.resources; + +import static io.restassured.RestAssured.get; +import static org.assertj.core.api.Assertions.assertThat; +import static org.hamcrest.Matchers.*; +import static org.mockito.Mockito.when; + +import java.util.List; + +import jakarta.ws.rs.core.Response.Status; + +import org.junit.jupiter.api.Test; +import org.parasol.model.Claim; + +import io.quarkus.panache.mock.PanacheMock; +import io.quarkus.test.junit.QuarkusTest; + +import io.restassured.http.ContentType; + +@QuarkusTest +class ClaimResourceTests { + @Test + void getAllNoneFound() { + PanacheMock.mock(Claim.class); + + when(Claim.listAll()) + .thenReturn(List.of()); + + get("/api/db/claims").then() + .statusCode(Status.OK.getStatusCode()) + .contentType(ContentType.JSON) + .body("$.size()", is(0)); + + PanacheMock.verify(Claim.class).listAll(); + PanacheMock.verifyNoMoreInteractions(Claim.class); + } + + @Test + void getAllSomeFound() { + PanacheMock.mock(Claim.class); + when(Claim.listAll()) + .thenReturn(List.of(createClaim())); + + var claims = get("/api/db/claims").then() + .statusCode(Status.OK.getStatusCode()) + .contentType(ContentType.JSON) + .extract().body() + .jsonPath().getList(".", Claim.class); + + assertThat(claims) + .isNotNull() + .singleElement() + .usingRecursiveComparison() + .isEqualTo(createClaim()); + + PanacheMock.verify(Claim.class).listAll(); + PanacheMock.verifyNoMoreInteractions(Claim.class); + } + + @Test + void getOneNotFound() { + PanacheMock.mock(Claim.class); + when(Claim.findById(1)) + .thenReturn(null); + + get("/api/db/claims/{id}", 1).then() + .statusCode(Status.NO_CONTENT.getStatusCode()) + .contentType(ContentType.JSON) + .body(blankOrNullString()); + + PanacheMock.verify(Claim.class).findById(1); + PanacheMock.verifyNoMoreInteractions(Claim.class); + } + + @Test + void getOneFound() { + PanacheMock.mock(Claim.class); + when(Claim.findById(1)) + .thenReturn(createClaim()); + + var claim = get("/api/db/claims/{id}", 1).then() + .statusCode(Status.OK.getStatusCode()) + .contentType(ContentType.JSON) + .extract().as(Claim.class); + + assertThat(claim) + .isNotNull() + .usingRecursiveComparison() + .isEqualTo(createClaim()); + + PanacheMock.verify(Claim.class).findById(1); + PanacheMock.verifyNoMoreInteractions(Claim.class); + } + + private static Claim createClaim() { + var claim = new Claim(); + claim.claimNumber = "001"; + claim.category = "Auto"; + claim.policyNumber = "123"; + claim.clientName = "client"; + claim.subject = "collision"; + claim.body = "body"; + claim.summary = "Car was damaged in accident"; + claim.location = "driveway"; + claim.time = "afternoon"; + claim.sentiment = "Very bad"; + + return claim; + } +} \ No newline at end of file diff --git a/app/src/test/java/org/parasol/resources/ClaimWebsocketChatBotTests.java b/app/src/test/java/org/parasol/resources/ClaimWebsocketChatBotTests.java new file mode 100644 index 00000000..2052791e --- /dev/null +++ b/app/src/test/java/org/parasol/resources/ClaimWebsocketChatBotTests.java @@ -0,0 +1,134 @@ +package org.parasol.resources; + +import static org.assertj.core.api.Assertions.assertThat; +import static org.awaitility.Awaitility.await; +import static org.mockito.Mockito.*; + +import java.net.URI; +import java.time.Duration; +import java.util.List; +import java.util.Objects; +import java.util.concurrent.BlockingQueue; +import java.util.concurrent.LinkedBlockingDeque; + +import jakarta.inject.Inject; + +import org.jboss.logging.Logger; +import org.junit.jupiter.api.Test; +import org.mockito.ArgumentMatcher; +import org.parasol.ai.ClaimService; +import org.parasol.model.ClaimBotQuery; +import org.parasol.model.ClaimBotQueryResponse; + +import io.quarkus.test.InjectMock; +import io.quarkus.test.common.http.TestHTTPResource; +import io.quarkus.test.junit.QuarkusTest; +import io.quarkus.websockets.next.CloseReason; +import io.quarkus.websockets.next.OnClose; +import io.quarkus.websockets.next.OnError; +import io.quarkus.websockets.next.OnOpen; +import io.quarkus.websockets.next.OnTextMessage; +import io.quarkus.websockets.next.WebSocketClient; +import io.quarkus.websockets.next.WebSocketClientConnection; +import io.quarkus.websockets.next.WebSocketConnector; + +import io.smallrye.mutiny.Multi; +import io.smallrye.mutiny.Uni; + +@QuarkusTest +class ClaimWebsocketChatBotTests { + private static final String CLAIM = "This is the claim details"; + private static final String QUERY = "Should I approve this claim?"; + private static final List RESPONSE = List.of("You", "should", "not", "approve", "this", "claim"); + + @InjectMock + ClaimService claimService; + + @TestHTTPResource("/") + URI claimChatBotRootUri; + + @Inject + WebSocketConnector connector; + + @Test + void chatBotWorks() { + ArgumentMatcher matcher = query -> + Objects.nonNull(query) && + QUERY.equals(query.query()) && + CLAIM.equals(query.claim()); + + // A Multi which will return our response with a 0.5 second delay between each item + var delayedMulti = Multi.createFrom().iterable(RESPONSE) + .onItem().call(() -> Uni.createFrom().nullItem().onItem().delayIt().by(Duration.ofMillis(500))); + + // Set up our AI mock + when(this.claimService.chat(argThat(matcher))) + .thenReturn(delayedMulti); + + // Create a WebSocket connection and wait for the connection to establish + var connection = connectClient(); + + // Send our query + connection.sendTextAndAwait(new ClaimBotQuery(CLAIM, QUERY)); + + // Wait for the server to respond with what we expect + await() + .atMost(Duration.ofMinutes(5)) + .until(() -> ClientEndpoint.MESSAGES.size() == RESPONSE.size()); + + // Verify the messages are what we expected + assertThat(ClientEndpoint.MESSAGES) + .hasSameElementsAs(RESPONSE); + + // Close the connection + connection.closeAndAwait(); + + // Verify the AI chat was called with the correct parameters + verify(this.claimService).chat(argThat(matcher)); + verifyNoMoreInteractions(this.claimService); + } + + private WebSocketClientConnection connectClient() { + var connection = this.connector + .baseUri(this.claimChatBotRootUri) + .connectAndAwait(); + + waitForClientToStart(); + + return connection; + } + + private static void waitForClientToStart() { + await() + .atMost(Duration.ofMinutes(5)) + .until(() -> "CONNECT".equals(ClientEndpoint.MESSAGES.poll())); + } + + @WebSocketClient(path = "/ws/query", clientId = "c1") + static class ClientEndpoint { + private final Logger logger = Logger.getLogger(ClientEndpoint.class); + static final BlockingQueue MESSAGES = new LinkedBlockingDeque<>(); + + @OnOpen + void open(WebSocketClientConnection connection) { + this.logger.infof("[CLIENT] Opening endpoint %s", connection.id()); + MESSAGES.offer("CONNECT"); + } + + @OnTextMessage + void textMessage(ClaimBotQueryResponse message) { + this.logger.infof("[CLIENT] Got message: %s", message.token()); + MESSAGES.offer(message.token()); + } + + @OnError + void error(Throwable error) { + this.logger.errorf(error, "[CLIENT] Encountered an error"); + } + + @OnClose + void close(CloseReason closeReason, WebSocketClientConnection connection) { + this.logger.infof("[CLIENT] Closing endpoint %s: %s: %s", connection.id(), closeReason.getCode(), closeReason.getMessage()); + } + } +} \ No newline at end of file diff --git a/app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java b/app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java new file mode 100644 index 00000000..afc74be6 --- /dev/null +++ b/app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java @@ -0,0 +1,93 @@ +package org.parasol.ui; + +import static org.assertj.core.api.Assertions.assertThat; +import static org.awaitility.Awaitility.await; + +import java.time.Duration; + +import jakarta.ws.rs.core.Response.Status; + +import org.eclipse.microprofile.config.inject.ConfigProperty; +import org.junit.jupiter.api.Test; +import org.parasol.model.Claim; + +import io.quarkus.test.junit.QuarkusTest; +import io.quarkus.test.junit.TestProfile; + +import com.microsoft.playwright.BrowserContext; +import com.microsoft.playwright.Page; +import com.microsoft.playwright.Response; +import com.microsoft.playwright.assertions.PlaywrightAssertions; +import com.microsoft.playwright.options.LoadState; +import io.quarkiverse.playwright.InjectPlaywright; +import io.quarkiverse.playwright.WithPlaywright; +import io.quarkiverse.quinoa.testing.QuinoaTestProfiles; + +@QuarkusTest +@TestProfile(QuinoaTestProfiles.Enable.class) +@WithPlaywright +public class ClaimsDetailPageTests { + @InjectPlaywright + BrowserContext context; + + @ConfigProperty(name = "quarkus.http.test-port") + int quarkusPort; + + @Test + void pageLoads() { + var claim = Claim.findAll().firstResultOptional().orElseThrow(() -> new IllegalArgumentException("Can not find a claim in the database to use for tests")); + var page = loadPage(claim); + + PlaywrightAssertions.assertThat(page) + .hasTitle("Claim Detail"); + + PlaywrightAssertions.assertThat(page.getByText(claim.claimNumber)) + .isVisible(); + + PlaywrightAssertions.assertThat(page.getByText(claim.summary)) + .isVisible(); + + PlaywrightAssertions.assertThat(page.getByText(claim.sentiment)) + .isVisible(); + + var openChatButton = page.getByLabel("OpenChat"); + PlaywrightAssertions.assertThat(openChatButton) + .isVisible(); + + openChatButton.click(); + + PlaywrightAssertions.assertThat(page.getByText("Hi! I am Parasol Assistant. How can I help you today?")) + .isVisible(); + + assertThat(page.locator(".chat-answer-text").count()) + .isOne(); + + var askMeAnythingField = page.getByPlaceholder("Ask me anything..."); + PlaywrightAssertions.assertThat(askMeAnythingField) + .isVisible(); + askMeAnythingField.fill("Should I approve this claim?"); + + var sendQueryButton = page.getByLabel("SendQuery"); + PlaywrightAssertions.assertThat(sendQueryButton) + .isVisible(); + sendQueryButton.click(); + + await() + .atMost(Duration.ofSeconds(30)) + .until(() -> page.locator(".chat-answer-text").count() == 2); + } + + private Page loadPage(Claim claim) { + var page = this.context.newPage(); + var response = page.navigate("http://localhost:%d/ClaimDetail/%d".formatted(this.quarkusPort, claim.id)); + + assertThat(response) + .isNotNull() + .extracting(Response::status) + .isEqualTo(Status.OK.getStatusCode()); + + page.waitForLoadState(LoadState.NETWORKIDLE); + + return page; + } +} diff --git a/app/src/test/java/org/parasol/ui/ClaimsListPageTests.java b/app/src/test/java/org/parasol/ui/ClaimsListPageTests.java new file mode 100644 index 00000000..ec292992 --- /dev/null +++ b/app/src/test/java/org/parasol/ui/ClaimsListPageTests.java @@ -0,0 +1,145 @@ +package org.parasol.ui; + +import static org.assertj.core.api.Assertions.assertThat; + +import java.util.List; + +import jakarta.ws.rs.core.Response.Status; + +import org.eclipse.microprofile.config.inject.ConfigProperty; +import org.junit.jupiter.api.Test; + +import io.quarkus.test.junit.QuarkusTest; +import io.quarkus.test.junit.TestProfile; + +import com.microsoft.playwright.BrowserContext; +import com.microsoft.playwright.Locator; +import com.microsoft.playwright.Page; +import com.microsoft.playwright.Response; +import com.microsoft.playwright.assertions.PlaywrightAssertions; +import com.microsoft.playwright.options.AriaRole; +import com.microsoft.playwright.options.LoadState; +import io.quarkiverse.playwright.InjectPlaywright; +import io.quarkiverse.playwright.WithPlaywright; +import io.quarkiverse.quinoa.testing.QuinoaTestProfiles; + +@QuarkusTest +@TestProfile(QuinoaTestProfiles.Enable.class) +@WithPlaywright +public class ClaimsListPageTests { + private static final int NB_CLAIMS = 6; + + @InjectPlaywright + BrowserContext context; + + @ConfigProperty(name = "quarkus.http.test-port") + int quarkusPort; + + @Test + void pageLoads() { + var page = loadPage(); + + PlaywrightAssertions.assertThat(page) + .hasTitle("Claims List"); + } + + @Test + void correctTable() { + var table = getAndVerifyClaimsTable(NB_CLAIMS); + var tableColumns = table.getByRole(AriaRole.COLUMNHEADER).all(); + + assertThat(tableColumns) + .isNotNull() + .hasSize(5) + .extracting(Locator::textContent) + .containsExactly( +"Claim Number", + "Category", + "Client Name", + "Policy Number", + "Status" + ); + + var rows = getTableBodyRows(table); + assertThat(rows) + .isNotNull() + .hasSize(NB_CLAIMS); + + var firstRow = rows.get(0).getByRole(AriaRole.GRIDCELL).all(); + assertThat(firstRow) + .isNotNull() + .hasSize(5); + + assertThat(firstRow.get(0)) + .isNotNull() + .extracting( + Locator::textContent, + l -> l.getByRole(AriaRole.LINK).getAttribute("href") + ) + .containsExactly( + "CLM195501", + "/ClaimDetail/1".formatted(this.quarkusPort) + ); + + assertThat(firstRow.get(1)) + .isNotNull() + .extracting(Locator::textContent) + .isEqualTo("Multiple vehicle"); + + assertThat(firstRow.get(2)) + .isNotNull() + .extracting(Locator::textContent) + .isEqualTo("Marty McFly"); + + assertThat(firstRow.get(3)) + .isNotNull() + .extracting(Locator::textContent) + .isEqualTo("AC-987654321"); + + assertThat(firstRow.get(4)) + .isNotNull() + .extracting(Locator::textContent) + .isEqualTo("Processed"); + } + + private List getTableBodyRows(Locator table) { + // Rowgroup 1 is the header row + // Rowgroup 2 is the body rows + var rowGroups = table.getByRole(AriaRole.ROWGROUP).all(); + assertThat(rowGroups) + .isNotNull() + .hasSize(2); + + return rowGroups.get(1).getByRole(AriaRole.ROW).all(); + } + + private Locator getAndVerifyClaimsTable(Page page, int expectedNumRows) { + var table = page.getByRole(AriaRole.GRID); + assertThat(table).isNotNull(); + + var tableBodyRows = getTableBodyRows(table); + assertThat(tableBodyRows) + .isNotNull() + .hasSize(expectedNumRows); + + return table; + } + + private Locator getAndVerifyClaimsTable(int expectedNumRows) { + return getAndVerifyClaimsTable(loadPage(), expectedNumRows); + } + + private Page loadPage() { + var page = this.context.newPage(); + var response = page.navigate("http://localhost:%d/ClaimsList".formatted(this.quarkusPort)); + + assertThat(response) + .isNotNull() + .extracting(Response::status) + .isEqualTo(Status.OK.getStatusCode()); + + page.waitForLoadState(LoadState.NETWORKIDLE); + + return page; + } +} From ce4c1f3a550d95708211aaf973f01de43eef433a Mon Sep 17 00:00:00 2001 From: Eric Deandrea Date: Thu, 6 Jun 2024 15:13:43 -0400 Subject: [PATCH 16/26] Some cleanup and adding some tests --- .github/workflows/simple-build-test.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/simple-build-test.yml b/.github/workflows/simple-build-test.yml index 9c95f5f2..4bde0ed8 100644 --- a/.github/workflows/simple-build-test.yml +++ b/.github/workflows/simple-build-test.yml @@ -35,7 +35,7 @@ jobs: image: ollama/ollama ports: - 11434:11434 - name: "build-test-${{ matrix.java }}" + name: "jvm-build-test-${{ matrix.java }}" steps: - uses: actions/checkout@v4 From 0daf19f6ea4e1d03cff314643e94c9b4f18807ed Mon Sep 17 00:00:00 2001 From: Eric Deandrea Date: Thu, 6 Jun 2024 15:39:21 -0400 Subject: [PATCH 17/26] Wait for something on the websocket to come back to the chat --- .../org/parasol/ui/ClaimsDetailPageTests.java | 17 ++++++++++++++++- 1 file changed, 16 insertions(+), 1 deletion(-) diff --git a/app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java b/app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java index afc74be6..d18e1a9a 100644 --- a/app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java +++ b/app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java @@ -4,6 +4,7 @@ import static org.awaitility.Awaitility.await; import java.time.Duration; +import java.util.Optional; import jakarta.ws.rs.core.Response.Status; @@ -15,6 +16,7 @@ import io.quarkus.test.junit.TestProfile; import com.microsoft.playwright.BrowserContext; +import com.microsoft.playwright.Locator; import com.microsoft.playwright.Page; import com.microsoft.playwright.Response; import com.microsoft.playwright.assertions.PlaywrightAssertions; @@ -72,9 +74,22 @@ void pageLoads() { .isVisible(); sendQueryButton.click(); + // Wait for the answer text to have at least one piece of text in the answer await() .atMost(Duration.ofSeconds(30)) - .until(() -> page.locator(".chat-answer-text").count() == 2); + .until(() -> getChatResponseText(page).isPresent()); + + assertThat(getChatResponseText(page)) + .isNotNull() + .isPresent(); + } + + private Optional getChatResponseText(Page page) { + return page.locator(".chat-answer-text").all().stream() + .map(Locator::textContent) + .map(String::trim) + .filter(answer -> !"Hi! I am Parasol Assistant. How can I help you today?".equals(answer)) + .findFirst(); } private Page loadPage(Claim claim) { From ed11b51c713183f0846c6b8999158b5173a293d1 Mon Sep 17 00:00:00 2001 From: Eric Deandrea Date: Thu, 6 Jun 2024 15:41:08 -0400 Subject: [PATCH 18/26] Wait for something on the websocket to come back to the chat --- app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java b/app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java index d18e1a9a..6397f9a4 100644 --- a/app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java +++ b/app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java @@ -89,7 +89,9 @@ private Optional getChatResponseText(Page page) { .map(Locator::textContent) .map(String::trim) .filter(answer -> !"Hi! I am Parasol Assistant. How can I help you today?".equals(answer)) - .findFirst(); + .findFirst() + .map(String::trim) + .filter(s -> !s.isEmpty()); } private Page loadPage(Claim claim) { From 10fd0efbb3e2d91d3b1b18760aee37964d0e6892 Mon Sep 17 00:00:00 2001 From: Eric Deandrea Date: Thu, 6 Jun 2024 15:51:14 -0400 Subject: [PATCH 19/26] Wait for something on the websocket to come back to the chat --- app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java | 1 - 1 file changed, 1 deletion(-) diff --git a/app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java b/app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java index 6397f9a4..ab88c127 100644 --- a/app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java +++ b/app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java @@ -90,7 +90,6 @@ private Optional getChatResponseText(Page page) { .map(String::trim) .filter(answer -> !"Hi! I am Parasol Assistant. How can I help you today?".equals(answer)) .findFirst() - .map(String::trim) .filter(s -> !s.isEmpty()); } From 3b6bdb8df57d3be2eb40a9b46c634feb1a548adc Mon Sep 17 00:00:00 2001 From: Eric Deandrea Date: Fri, 7 Jun 2024 08:29:17 -0400 Subject: [PATCH 20/26] auto-install npm https://github.com/quarkiverse/quarkus-quinoa/issues/683 --- app/src/main/resources/application.properties | 1 + 1 file changed, 1 insertion(+) diff --git a/app/src/main/resources/application.properties b/app/src/main/resources/application.properties index 927d549a..616c68ca 100644 --- a/app/src/main/resources/application.properties +++ b/app/src/main/resources/application.properties @@ -31,5 +31,6 @@ quarkus.log.category."org.parasol".level=DEBUG # Quinoa quarkus.quinoa.package-manager-install=true quarkus.quinoa.package-manager-install.node-version=22.2.0 +quarkus.quinoa.package-manager-install.npm-version=10.8.1 quarkus.quinoa.build-dir=dist quarkus.quinoa.enable-spa-routing=true From 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From 52a4ac116fce63dbad2a4b2eb786ffa476085c48 Mon Sep 17 00:00:00 2001 From: Eric Deandrea Date: Fri, 7 Jun 2024 09:26:54 -0400 Subject: [PATCH 23/26] Increase playwright timeout --- .../java/org/parasol/ui/ClaimsDetailPageTests.java | 13 ++++++++++--- 1 file changed, 10 insertions(+), 3 deletions(-) diff --git a/app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java b/app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java index 9019c529..ba20305d 100644 --- a/app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java +++ b/app/src/test/java/org/parasol/ui/ClaimsDetailPageTests.java @@ -61,7 +61,7 @@ void pageLoads() { PlaywrightAssertions.assertThat(page.getByText("Hi! I am Parasol Assistant. How can I help you today?")) .isVisible(); - assertThat(page.locator(".chat-answer-text").count()) + assertThat(getChatResponseLocator(page).count()) .isOne(); var askMeAnythingField = page.getByPlaceholder("Ask me anything..."); @@ -82,10 +82,13 @@ void pageLoads() { assertThat(getChatResponseText(page)) .isNotNull() .isPresent(); + + assertThat(getChatResponseLocator(page).count()) + .isGreaterThanOrEqualTo(2); } - private Optional getChatResponseText(Page page) { - return page.locator(".chat-answer-text").all().stream() + private static Optional getChatResponseText(Page page) { + return getChatResponseLocator(page).all().stream() .map(Locator::textContent) .map(String::trim) .filter(answer -> !"Hi! I am Parasol Assistant. How can I help you today?".equals(answer)) @@ -93,6 +96,10 @@ private Optional getChatResponseText(Page page) { .filter(s -> !s.isEmpty()); } + private static Locator getChatResponseLocator(Page page) { + return page.locator(".chat-answer-text"); + } + private Page loadPage(Claim claim) { var page = this.context.newPage(); var response = page.navigate("http://localhost:%d/ClaimDetail/%d".formatted(this.quarkusPort, claim.id)); From 3cafcc8c0cddc664ade9cb25a8f0f73a045776a1 Mon Sep 17 00:00:00 2001 From: Eric Deandrea Date: Thu, 13 Jun 2024 09:47:12 -0400 Subject: [PATCH 24/26] Update README with new info --- README.md | 12 +++++------- 1 file changed, 5 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index b534417d..c119a4c1 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # Parasol Insurance -A [Quarkus](https://quarkus.io) + [React](https://react.dev/) AI app for managing ficticious insurance claims. +A [Quarkus](https://quarkus.io) + [React](https://react.dev/) AI app for managing fictitious insurance claims. Uses [Quarkus Quinoa](https://docs.quarkiverse.io/quarkus-quinoa/dev/index.html) under the covers. ![App](app/frontend/src/app/assets/images/sample.png) @@ -8,7 +8,7 @@ A [Quarkus](https://quarkus.io) + [React](https://react.dev/) AI app for managin - Java 17 or later -- Get it https://adoptium.net/ or install using your favorite package manager. - Maven 3.9.6 or later -- Get it https://maven.apache.org/download.cgi or install using your favorite package manager. -- Node.js 21 or later -- Get it https://nodejs.org/en/download/package-manager here) or install using your favorite package manager. + - Or just use the embedded [Maven Wrapper](https://maven.apache.org/wrapper) - An OpenAI-capable LLM inference server. Get one here with [InstructLab](https://github.com/instructlab/instructlab)! ## To Configure on InstructLab instance of Red Hat Demo Platform @@ -29,11 +29,9 @@ First, get your inference server up and running. For example, with [InstructLab] Then: ``` -cd app; npm install -cd frontend; npm install -cd ../.. -./start-dev.sh +cd app; +./mvnw clean quarkus:dev ``` -Frontend web app will open on `0.0.0.0:8006`, backend on `0.0.0.0:8005`. +App will open on `http://0.0.0.0:8005`. Open the app, click on a claim, click on the chat app, and start asking questions. The context of the claim is sent to the LLM along with your Query, and the response is shown in the chat (it may take time depending on your machine's performance). From 388ff4e7296fa25d7ae0e08d48a843c5baed862c Mon Sep 17 00:00:00 2001 From: James Falkner Date: Thu, 13 Jun 2024 10:05:53 -0400 Subject: [PATCH 25/26] add spellings --- .github/.wordlist.txt | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/.github/.wordlist.txt b/.github/.wordlist.txt index 8d8e278a..50cdc089 100644 --- a/.github/.wordlist.txt +++ b/.github/.wordlist.txt @@ -1,4 +1,8 @@ adoc +adoptium +Adoptium +Apache +apache aiservices amazonaws Anbalagan @@ -26,6 +30,7 @@ CarImage cd centric cephfs +cgi Chase ChatGPT ChatOps @@ -72,6 +77,8 @@ Erwan eslint Eventing EXAMPLEs +executables +executable FastAPI ffdrf fi @@ -91,6 +98,7 @@ gitops GitOps Globex GPUs +GraalVM Grafana Granafa Granger @@ -114,6 +122,8 @@ Immage InfluxDB Inlining insecureEdgeTerminationPolicy +InstructLab +instructlab io ipynb jpg @@ -160,6 +170,8 @@ ods ojsonpath ok onnx +openai +OpenAI opencv OpenCV openshift @@ -194,6 +206,8 @@ py pytorch Pytorch quantized +Quarkus +quarkus rbac README readonly @@ -214,6 +228,7 @@ roboflow Roboflow RoboFlow rollout +runnable runtime RWX selfHeal @@ -243,6 +258,7 @@ TODO txt TypeScript UAT +über UI un unopinionated From cd45bbd5f359c5ff8397a4fa1b8532cddb570b45 Mon Sep 17 00:00:00 2001 From: James Falkner Date: Thu, 13 Jun 2024 10:11:46 -0400 Subject: [PATCH 26/26] minor update --- app/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/app/README.md b/app/README.md index 162c4bb5..33153ef3 100644 --- a/app/README.md +++ b/app/README.md @@ -1,4 +1,4 @@ -# code-with-quarkus +# Parasol Frontend This project uses Quarkus, the Supersonic Subatomic Java Framework.

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