use UV to install dependencies, install to virtual environment #226
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WalkthroughThe Dockerfile for the Python service is refactored to use a Python virtual environment. Environment variables are set for VIRTUAL_ENV, and a venv is created with PATH updates. Dependency installation is reorganized: pyproject.toml is copied first, then dependencies are installed via uv with Pre-merge checks and finishing touches❌ Failed checks (1 inconclusive)
✅ Passed checks (2 passed)
✨ Finishing touches🧪 Generate unit tests (beta)
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Actionable comments posted: 1
🧹 Nitpick comments (1)
docker/python/Dockerfile (1)
20-21: LGTM! ENTRYPOINT and CMD work correctly with the virtual environment.The ENTRYPOINT will use the Python interpreter from the virtual environment due to the PATH update on line 8. The CMD provides appropriate development options (
--host 0.0.0.0 --reload).For slightly more explicit configuration, you could use the absolute path to the venv Python:
-ENTRYPOINT ["python", "src/main.py"] +ENTRYPOINT ["/opt/venv/bin/python", "src/main.py"]However, the current approach is also valid and more flexible.
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docker/python/Dockerfile
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🔇 Additional comments (3)
docker/python/Dockerfile (3)
6-8: LGTM! Virtual environment setup is correct.The virtual environment is properly created and the PATH is updated to ensure subsequent commands use the virtualenv.
10-10: LGTM! UV installation is correct.Installing uv via pip after the virtual environment setup ensures it's installed within the venv context.
15-15: No issue - this is a development image.The
--reloadflag in the CMD (line 20) and volume mount in docker-compose.yaml confirm this Dockerfile is used exclusively for local development. Installing development dependencies via".[dev]"is appropriate and standard for development images. The project is in early stages and not production-ready.
| COPY pyproject.toml . | ||
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| RUN uv pip install -e ".[dev]" | ||
| COPY . /python-api |
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Critical: Editable install will fail due to missing source code.
The editable install (-e) on line 15 requires the full package structure to be present, but only pyproject.toml is copied at line 13. The source code is copied at line 16, after the installation attempt. This will cause the Docker build to fail.
Additionally, editable installs are typically used in development environments where you want changes to the source code to be immediately reflected without reinstalling. In a Docker container, this benefit doesn't apply since the container image is immutable.
🔎 Proposed fix: Remove the `-e` flag for regular installation
-RUN uv pip install -e ".[dev]"
+RUN uv pip install ".[dev]"
COPY . /python-apiThis change:
- Performs a regular (non-editable) installation using only
pyproject.toml - Maintains the layer caching benefit (dependencies are cached separately from source code)
- Copies the source code afterward, which is the correct order for non-editable installs
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| COPY pyproject.toml . | |
| RUN uv pip install -e ".[dev]" | |
| COPY . /python-api | |
| COPY pyproject.toml . | |
| RUN uv pip install ".[dev]" | |
| COPY . /python-api |
🤖 Prompt for AI Agents
In docker/python/Dockerfile around lines 13 to 16, the Dockerfile attempts an
editable install (pip install -e) before copying the package source, which will
fail because the source code isn't present; change the install to a regular
non-editable install (remove -e) so dependencies are installed from
pyproject.toml and keep the COPY . /python-api after to preserve layer caching
and then install final package if needed after copying source or simply install
non-editably before copying source as proposed.
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