Release/v3.0.0 (#31)

.github/actions/setup/action.yml

@@ -3,9 +3,11 @@ description: Setup for project workflows
 runs:
   using: composite
   steps:
-    - run: pipx install invoke poetry
-      shell: bash
-    - uses: actions/setup-python@v5
+    - name: Install uv
+      uses: astral-sh/setup-uv@v4
       with:
-        python-version: 3.12
-        cache: poetry
+        enable-cache: true
+    - name: Setup Python
+      uses: actions/setup-python@v5
+      with:
+        python-version-file: .python-version

.github/workflows/check.yml

@@ -2,7 +2,7 @@ name: Check
 on:
   pull_request:
     branches:
-      - main
+      - '*'
 concurrency:
   cancel-in-progress: true
   group: ${{ github.workflow }}-${{ github.ref }}
@@ -12,5 +12,9 @@ jobs:
     steps:
       - uses: actions/checkout@v4
       - uses: ./.github/actions/setup
-      - run: poetry install --with checks
-      - run: poetry run invoke checks
+      - run: uv sync --group=checks
+      - run: uv run invoke checks.format
+      - run: uv run invoke checks.type
+      - run: uv run invoke checks.code
+      - run: uv run invoke checks.security
+      - run: uv run invoke checks.coverage

.github/workflows/publish.yml

@@ -15,8 +15,8 @@ jobs:
     steps:
       - uses: actions/checkout@v4
       - uses: ./.github/actions/setup
-      - run: poetry install --with docs
-      - run: poetry run invoke docs
+      - run: uv sync --group=docs
+      - run: uv run invoke docs
       - uses: JamesIves/github-pages-deploy-action@v4
         with:
           folder: docs/
@@ -28,8 +28,8 @@ jobs:
     steps:
       - uses: actions/checkout@v4
       - uses: ./.github/actions/setup
-      - run: poetry install --with dev
-      - run: poetry run invoke packages
+      - run: uv sync --only-dev
+      - run: uv run invoke packages
       - uses: docker/login-action@v3
         with:
           registry: ghcr.io

.pre-commit-config.yaml

@@ -5,7 +5,7 @@ default_language_version:
   python: python3.12
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.6.0
+    rev: v5.0.0
     hooks:
       - id: check-added-large-files
       - id: check-case-conflict
@@ -16,18 +16,14 @@ repos:
       - id: end-of-file-fixer
       - id: mixed-line-ending
       - id: trailing-whitespace
-  - repo: https://github.com/python-poetry/poetry
-    rev: 1.8.3
-    hooks:
-      - id: poetry-check
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.5.0
+    rev: v0.8.1
     hooks:
       - id: ruff
       - id: ruff-format
   - repo: https://github.com/commitizen-tools/commitizen
-    rev: v3.27.0
+    rev: v4.0.0
     hooks:
       - id: commitizen
       - id: commitizen-branch
-        stages: [push]
+        stages: [pre-push]

CHANGELOG.md

@@ -1,3 +1,23 @@
+## v3.0.0 (2024-12-14)
+
+### Feat
+
+- **mlflow**: bump to 2.19.0
+- **manager**: switch from poetry to uv (#22)
+- **manager**: switch from poetry to uv
+
+### Fix
+
+- **tasks**: merge conflict
+- **tasks**: fix mlflow.serve task attribute
+- **github-actions**: run check on all PR
+
+### Refactor
+
+- **release**: prepare before release
+- **actions**: split check tasks into subtask for easier debugging (#29)
+- **code**: improve abstractions (#28)
+
 ## v2.0.0 (2024-07-28)
 
 ### Feat

Dockerfile

@@ -1,6 +1,6 @@
 # https://docs.docker.com/engine/reference/builder/
 
-FROM python:3.12
+FROM ghcr.io/astral-sh/uv:python3.12-bookworm
 COPY dist/*.whl .
-RUN pip install *.whl
+RUN uv pip install --system *.whl
 CMD ["bikes", "--help"]

LICENCE.txt → LICENSE.txt

@@ -1,5 +1,3 @@
-Copyright 2024 Médéric HURIER (Fmind)
-
 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.

README.md

@@ -13,6 +13,7 @@ The package leverages several [tools](#tools) and [tips](#tips) to make your MLO
 You can use this package as part of your MLOps toolkit or platform (e.g., Model Registry, Experiment Tracking, Realtime Inference, ...).
 
 **Related Resources**:
+- **[LLMOps Coding Package (Example)](https://github.com/callmesora/llmops-python-package/)**: Example with best practices and tools to support your LLMOps projects.
 - **[MLOps Coding Course (Learning)](https://github.com/MLOps-Courses/mlops-coding-course)**: Learn how to create, develop, and maintain a state-of-the-art MLOps code base.
 - **[Cookiecutter MLOps Package (Template)](https://github.com/fmind/cookiecutter-mlops-package)**: Start building and deploying Python packages and Docker images for MLOps tasks.
 
@@ -69,7 +70,7 @@ You can use this package as part of your MLOps toolkit or platform (e.g., Model
   - [Package](#package)
     - [Evolution: Changelog](#evolution-changelog)
     - [Format: Wheel](#format-wheel)
-    - [Manager: Poetry](#manager-poetry)
+    - [Manager: uv](#manager-uv)
     - [Runtime: Docker](#runtime-docker)
   - [Programming](#programming)
     - [Language: Python](#language-python)
@@ -119,7 +120,7 @@ This section details the requirements, actions, and next steps to kickstart your
 ## Prerequisites
 
 - [Python>=3.12](https://www.python.org/downloads/): to benefit from [the latest features and performance improvements](https://docs.python.org/3/whatsnew/3.12.html)
-- [Poetry>=1.8.2](https://python-poetry.org/): to initialize the project [virtual environment](https://docs.python.org/3/library/venv.html) and its dependencies
+- [uv>=0.5.5](https://docs.astral.sh/uv/): to initialize the project [virtual environment](https://docs.python.org/3/library/venv.html) and its dependencies
 
 ## Installation
 
@@ -130,10 +131,10 @@ $ git clone git@github.com:fmind/mlops-python-package
 # with https
 $ git clone https://github.com/fmind/mlops-python-package
 ```
-2. [Run the project installation with poetry](https://python-poetry.org/docs/)
+2. [Run the project installation with uv](https://docs.astral.sh/uv/)
 ```bash
 $ cd mlops-python-package/
-$ poetry install
+$ uv sync
 ```
 3. Adapt the code base to your desire
 
@@ -171,26 +172,26 @@ This config file instructs the program to start a `TrainingJob` with 2 parameter
 
 You can find all the parameters of your program in the `src/[package]/jobs/*.py` files.
 
-You can also print the full schema supported by this package using `poetry run bikes --schema`.
+You can also print the full schema supported by this package using `uv run bikes --schema`.
 
 ## Execution
 
-The project code can be executed with poetry during your development:
+The project code can be executed with uv during your development:
 
 ```bash
-$ poetry run [package] confs/tuning.yaml
-$ poetry run [package] confs/training.yaml
-$ poetry run [package] confs/promotion.yaml
-$ poetry run [package] confs/inference.yaml
-$ poetry run [package] confs/evaluations.yaml
-$ poetry run [package] confs/explanations.yaml
+$ uv run [package] confs/tuning.yaml
+$ uv run [package] confs/training.yaml
+$ uv run [package] confs/promotion.yaml
+$ uv run [package] confs/inference.yaml
+$ uv run [package] confs/evaluations.yaml
+$ uv run [package] confs/explanations.yaml
 ```
 
 In production, you can build, ship, and run the project as a Python package:
 
 ```bash
-poetry build
-poetry publish # optional
+uv build
+uv publish # optional
 python -m pip install [package]
 [package] confs/inference.yaml
 ```
@@ -211,7 +212,7 @@ with job as runner:
 - You can pass several config files in the command-line to merge them from left to right
   - You can define common configurations shared between jobs (e.g., model params)
 - The right job task will be selected automatically thanks to [Pydantic Discriminated Unions](https://docs.pydantic.dev/latest/concepts/unions/#discriminated-unions)
-  - This is a great way to run any job supported by the application (training, tuning, ....
+  - This is a great way to run any job supported by the application (training, tuning, ...)
 
 ## Automation
 
@@ -233,7 +234,6 @@ $ inv --list
 - **checks.code** - Check the codes with ruff.
 - **checks.coverage** - Check the coverage with coverage.
 - **checks.format** - Check the formats with ruff.
-- **checks.poetry** - Check poetry config files.
 - **checks.security** - Check the security with bandit.
 - **checks.test** - Check the tests with pytest.
 - **checks.type** - Check the types with mypy.
@@ -247,15 +247,15 @@ $ inv --list
 - **cleans.mlruns** - Clean the mlruns folder.
 - **cleans.mypy** - Clean the mypy tool.
 - **cleans.outputs** - Clean the outputs folder.
-- **cleans.poetry** - Clean poetry lock file.
-- **cleans.pytest** - Clean the pytest tool.
 - **cleans.projects** - Run all projects tasks.
+- **cleans.pytest** - Clean the pytest tool.
 - **cleans.python** - Clean python caches and bytecodes.
 - **cleans.requirements** - Clean the project requirements file.
 - **cleans.reset** - Run all tools, folders, and sources tasks.
 - **cleans.ruff** - Clean the ruff tool.
 - **cleans.sources** - Run all sources tasks.
 - **cleans.tools** - Run all tools tasks.
+- **cleans.uv** - Clean uv lock file.
 - **cleans.venv** - Clean the venv folder.
 - **commits.all (commits)** - Run all commit tasks.
 - **commits.bump** - Bump the version of the package.
@@ -272,8 +272,8 @@ $ inv --list
 - **formats.imports** - Format python imports with ruff.
 - **formats.sources** - Format python sources with ruff.
 - **installs.all (installs)** - Run all install tasks.
-- **installs.poetry** - Install poetry packages.
 - **installs.pre-commit** - Install pre-commit hooks on git.
+- **installs.uv** - Install uv packages.
 - **mlflow.all (mlflow)** - Run all mlflow tasks.
 - **mlflow.doctor** - Run mlflow doctor to diagnose issues.
 - **mlflow.serve** - Start mlflow server with the given host, port, and backend uri.
@@ -684,17 +684,18 @@ Define and build modern Python package.
   - [Source](https://docs.python.org/3/distutils/sourcedist.html): older format, less powerful
   - [Conda](https://conda.io/projects/conda/en/latest/user-guide/install/index.html): slow and hard to manage
 
-### Manager: [Poetry](https://python-poetry.org/)
+### Manager: [uv](https://docs.astral.sh/uv/)
 
 - **Motivations**:
   - Define and build Python package
-  - Most popular solution by GitHub stars
+  - Fast and compliant package manager
   - Pack every metadata in a single static file
 - **Limitations**:
   - Cannot add dependencies beyond Python (e.g., CUDA)
     - i.e., use Docker container for this use case
 - **Alternatives**:
   - [Setuptools](https://docs.python.org/3/distutils/setupscript.html): dynamic file is slower and more risky
+  - [Poetry](https://python-poetry.org/): previous solution of this package
   - Pdm, Hatch, PipEnv: https://xkcd.com/1987/
 
 ### Runtime: [Docker](https://www.docker.com/resources/what-container/)
@@ -937,10 +938,10 @@ Using Python package for your AI/ML project has the following benefits:
 - Install Python package as a library (e.g., like pandas)
 - Expose script entry points to run a CLI or a GUI
 
-To build a Python package with Poetry, you simply have to type in a terminal:
+To build a Python package with uv, you simply have to type in a terminal:
 ```bash
-# for all poetry project
-poetry build
+# for all uv project
+uv build
 # for this project only
 inv packages
 ```
@@ -1044,7 +1045,7 @@ Semantic Versioning (SemVer) provides a simple schema to communicate code change
 - *Minor* (Y): minor release with new features (i.e., provide new capabilities)
 - *Patch* (Z): patch release to fix bugs (i.e., correct wrong behavior)
 
-Poetry and this package leverage Semantic Versioning to let developers control the speed of adoption for new releases.
+Uv and this package leverage Semantic Versioning to let developers control the speed of adoption for new releases.
 
 ## [Testing Tricks](https://en.wikipedia.org/wiki/Software_testing)
 

docker-compose.yml

@@ -2,7 +2,7 @@
 
 services:
   mlflow:
-    image: ghcr.io/mlflow/mlflow:v2.14.3
+    image: ghcr.io/mlflow/mlflow:v2.19.0
     ports:
       - 5000:5000
     environment: