ArtventureIndonesia-CC

Welcome to the Cloud Computing Cohort repository! This repository is dedicated to showcasing the backend API and machine learning (ML) components developed during our Cloud Computing part. The backend API is built using Node.js with the Hapi.js framework, providing robust and scalable functionalities. Additionally, the ML API is implemented with Node.js using the Express.js framework, offering a seamless integration for machine learning capabilities.

Authors by Team ID: CH2-PS498

Name	Bangkit-ID	Cohort
Syaiful Hendri Irawan	M193BSY1058	Machine Learning
Anak Agung Sagung Mirah Indira Wardhana	M014BSX1481	Machine Learning
Arya Dimas Taffarel Wicaksana	M200BSY0953	Machine Learning
Muhammad Tafif Qairawan Assiddiqi	C324BSY3736	Cloud Computing
Ida Bagus Mas Manuaba	C014BSY4272	Cloud Computing
I Gede Krisna Juniarta	A014BSY2738	Mobile Development

Cloud Infrastructure

API Reference

Endpoint Routes

Route	HTTP Method	Description	API
/users/login	POST	User login	Backend
/users/register	POST	User registration	Backend
/museum	GET	Get all museums	Backend
/museum/museum_id	GET	Get all tasks for a museum	Backend
/museum/museum_id/task_id	GET	Get task by ID	Backend
/rewards	GET	Get all rewards	Backend
/rewards/reward_id	GET	Get reward by ID	Backend
/predict	POST	Perform image prediction and validation	Backend
/predicts	POST	Upload and process image in Machine Learning	ML

Backend API

• Deployed Endpoint : https://artventure-server-backend-bx6pwrssuq-et.a.run.app

• Full Documentation : https://documenter.getpostman.com/view/20128885/2s9YkhiQGB

• Tools and Packages :

  • @google-cloud/storage: Version 7.7.0
  • @hapi/hapi: Version 21.3.2
  • axios: Version 1.6.2
  • firebase-admin: Version 11.11.1
  • form-data: Version 4.0.0
  • fs: Version 0.0.1-security

⚠️ Before making requests to this API, please note that an API key is required for authentication ⚠️

Users

1. Login user

   • Endpoint : /users/login

   • Method : POST

   • API: Backend

   • Request Body :

     • user_name (string): The name of the user to be registered.
     • user_email (string): The email address of the user.
     • user_password (string): The password chosen by the user.

     Example:

     user_name: test
     user_email: test@gmail.com
     user_password: test1234
     

   • Response :

     {
       "error": false,
       "message": "Login Success!",
       "userData": {
         "user_points": 0,
         "user_email": "test@gmail.com",
         "user_id": "u1702390925390",
         "user_name": "test",
         "completedTask": [],
         "user_pass": "test1234"
       }
     }

2. Register User

   • Endpoint : /users/register

   • Method : POST

   • API: Backend

   • Request Body :

     • user_name (string): The name of the user to be registered.
     • user_email (string): The email address of the user.
     • user_password (string): The password chosen by the user.

     Example:

     user_name: test
     user_email: test@gmail.com
     user_password: test1234
     

   • Response :

     {
       "error": false,
       "message": "Register Success!"
     }

Museum and Task

1. Get All Museum

   • Endpoint : /museum

   • Method : GET

   • API: Backend

   • Response :

     {
     "error": false,
     "message": "Get Museum data success!",
     "museumData": [
       {
         "museum_id": 1,
         "museum_doc": "pohR79Bp9F6GNlV1FEmi",
         "museum_name": "Museum Bajra Sandhi",
         "address": "Denpasar",
         "location": {
           "_latitude": -8.671565925092636,
           "_longitude": 115.23389569640645
         },
         "url_museum_img": "https://storage.googleapis.com/artventure/museum/bajrasandhi.jpg",
         "isOpen": true
       },
       ...]
     }

2. Get All Task in a Museum

   • Endpoint : /museum/{museum_id}

   • Method : GET

   • API: Backend

   • Response :

     {
     "error": false,
     "message": "Get Task data success!",
     "taskData": [
       {
         "object_id": 1,
         "object_doc": "8gqqCnsAMUNVCMAk0VOK",
         "object_name": "Bali Following Independence",
         "object_year": "1950-1975",
         "object_description": "This diorama, then, offers a three-dimensional depiction of Bali in the years following its independence, from 1950 to 1975. It showcases a rural scene with a volcano in the background and a village in the foreground. The village, composed of traditional Balinese houses and buildings, mirrors the island’s rich cultural heritage. The development of Bali during this period was deeply rooted in its culture, with Hinduism serving as its spiritual core.  The diorama also underscores the sectors that were the focus of Bali’s development during this period: tourism, education, and agriculture. The reference to Taman Werdhi Budaya signifies the importance of tourism, while Udayana University represents the emphasis on education. The depiction of the rural landscape and the village foregrounds the significance of agriculture in Bali’s economy. This diorama, therefore, serves as a tangible narrative of Bali’s journey and growth in the years following its independence.",
         "points": 10,
         "takenBy": [
           "u1702451441057"
         ]
       },
       ...]
     }

3. Get Task By Id

   • Endpoint : /museum/{museum_id}/{task_id}

   • Method : GET

   • API: Backend

   • Response :

     {
       "error": false,
       "message": "Get Task data by Id success!",
       "taskData": {
         "object_id": 1,
         "object_doc": "8gqqCnsAMUNVCMAk0VOK",
         "object_name": "Bali Following Independence",
         "object_year": "1950-1975",
         "object_description": "This diorama, then, offers a three-dimensional depiction of Bali in the years following its independence, from 1950 to 1975. It showcases a rural scene with a volcano in the background and a village in the foreground. The village, composed of traditional Balinese houses and buildings, mirrors the island’s rich cultural heritage. The development of Bali during this period was deeply rooted in its culture, with Hinduism serving as its spiritual core.  The diorama also underscores the sectors that were the focus of Bali’s development during this period: tourism, education, and agriculture. The reference to Taman Werdhi Budaya signifies the importance of tourism, while Udayana University represents the emphasis on education. The depiction of the rural landscape and the village foregrounds the significance of agriculture in Bali’s economy. This diorama, therefore, serves as a tangible narrative of Bali’s journey and growth in the years following its independence.",
         "points": 10,
         "takenBy": [
           "u1702540070861"
         ]
       }
     }

Rewards

1. Get All Rewards

   • Endpoint : /rewards

   • Method : GET

   • API: Backend

   • Response :

     {
       "error": false,
       "message": "Get Reward data success!",
       "rewardData": [
         {
           "reward_id": 1,
           "reward_doc": "vAJbzNOl6EVoI4AGYxBB",
           "reward_name": "Polo T-Shirt",
           "reward_point": 100,
           "url_reward_img": "https://storage.googleapis.com/artventure/reward/Polo.jpg"
         },
         ...]
     }

2. Get Reward By Id

   • Endpoint : /rewards/{rewards_id}

   • Method : GET

   • API: Backend

   • Response :

     {
       "error": false,
       "message": "Get Reward data success!",
       "rewardData":
         {
           "reward_id": 1,
           "reward_doc": "vAJbzNOl6EVoI4AGYxBB",
           "reward_name": "Polo T-Shirt",
           "reward_point": 100,
           "url_reward_img": "https://storage.googleapis.com/artventure/reward/Polo.jpg"
         },
     }

Predict

1. Predict in Backend API

   • Endpoint : /predict

   • Method : POST

   • API: Backend

   • Request Body :

     • imageFile (file): The image file to be uploaded.
     • user_id (string): The unique identifier of the user.

     Example:

     imageFile: DangHyangNirartha.jpg
     user_id: u1702540070861
     

   • Response :

     {
       "error": false,
       "message": "Image sent successfully",
       "result": "Berhasil"
     }

ML API

• Deployed Endpoint : https://ml-tfjs-bx6pwrssuq-et.a.run.app

• Full Documentation : https://documenter.getpostman.com/view/20128885/2s9Ykq6fVa

• Tools and Packages :

  • @tensorflow/tfjs-node: Version 4.14.0
  • express: Version 4.18.0
  • fs: Version 0.0.1-security
  • multer: Version 1.4.5-lts.1

Predict

1. Predict in ML API

   • Endpoint : /predicts

   • Method : POST

   • API: ML

   • Request Body :

     • imageFile (file): The image file to be uploaded.

     Example:

     imageFile: DangHyangNirartha.jpg
     

   • Response :

     {
       "result": "Dang Hyang Nirartha"
     }