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Reviewer's GuideSwitched from Poetry to PEP 621-standard project config and Hatchling for builds, standardized Python 3.13 across configs, Docker, CI, and replaced Poetry with UV for dependency management throughout the codebase. File-Level Changes
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WalkthroughThe changes update the project's Python version from 3.11.7 (and 3.14.0a4 in Docker) to 3.13.2 across all configuration files. The dependency management tool is switched from Poetry to UV, with corresponding updates to the Dockerfile and development setup instructions in the README. Changes
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Actionable comments posted: 0
🧹 Nitpick comments (3)
README.md (1)
38-41: Clarify UV usage vs Docker’s--systemflag
You’ve replaced Poetry withuv venv, activation, anduv pip install -e .. It may help to briefly explain why the-e(editable) flag is used here, and note how this differs from the Dockerfile’s--systemusage.Dockerfile (2)
13-13: Pin UV version for reproducibility
Installing UV without a version specifier could lead to unexpected upgrades. Consider pinning it, e.g.:RUN pip install uv==<stable-version> --no-cache-dir
15-19: Optimize Docker layer caching
Copying the entire project before installing dependencies invalidates the cache on any code change. To speed up rebuilds, you can:
- Copy only
pyproject.toml(and a lock file, if used).- Install UV and project dependencies.
- Copy the rest of the source code.
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⛔ Files ignored due to path filters (5)
.github/workflows/django.ymlis excluded by!**/*.yml.vscode/settings.jsonis excluded by!**/*.jsonpoetry.lockis excluded by!**/*.lock,!**/*.lockpyproject.tomlis excluded by!**/*.tomlrequirements.lockis excluded by!**/*.lock,!**/*.lock
📒 Files selected for processing (3)
.python-version(1 hunks)Dockerfile(2 hunks)README.md(1 hunks)
🔇 Additional comments (5)
.python-version (1)
1-1: Confirm Python version alignment
The bump to3.13.2in.python-versionnow matches the Docker base image and README instructions, ensuring consistency across local and container environments.README.md (2)
34-36: Update Python version in local setup instructions
The steps now correctly reference Python 3.13.2 (pyenv install 3.13.2andpyenv local 3.13.2), replacing the previous 3.11.7.
34-34: Validate Homebrew formula foruv
Ensure thatbrew install uvis a valid command on macOS. If Homebrew doesn’t offer auvformula, consider switching topip install uvor documenting an alternative installation path.Dockerfile (2)
1-1: Bump base image to Python 3.13.2
Updating theFROMline topython:3.13.2aligns the container runtime with your.python-versionand README.
19-19: Confirm editable install in production image
The commanduv pip install --system -e .installs in editable mode. Please verify if this is intended for production, as editable installs can affect performance and are typically reserved for development.
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Hey @fsargent - I've reviewed your changes and they look great!
Here's what I looked at during the review
- 🟡 General issues: 3 issues found
- 🟢 Security: all looks good
- 🟢 Testing: all looks good
- 🟢 Documentation: all looks good
Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.
| django-import-export = { extras = ["all"], version = "^4.3.4" } | ||
| requires-python = ">=3.13.1" | ||
| dependencies = [ | ||
| "django~=5.0.0", |
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suggestion: ~=5.0.0 restricts Django to 5.0.x only
If you want to support all 5.x versions, use ~=5.0 or >=5.0,<6.0 instead.
| "django~=5.0.0", | |
| "django~=5.0", |
| ENV POETRY_VERSION=1.8.4 | ||
| RUN pip install "poetry==$POETRY_VERSION" --no-cache-dir | ||
| # Install UV for dependency management | ||
| RUN pip install uv --no-cache-dir |
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suggestion: Pin UV version for reproducibility
Pin UV to a specific version using an ENV UV_VERSION to avoid unexpected breaking changes from future releases.
| # Copy all project files into the working directory | ||
| COPY . /code/ | ||
|
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| # Install dependencies using UV with --system flag | ||
| RUN uv pip install --system -e . |
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suggestion (performance): Leverage Docker cache by copying deps separately
Copy only dependency files (e.g., pyproject.toml, requirements.lock) before installing dependencies, then copy the rest of the project to maximize Docker cache efficiency.
| # Copy all project files into the working directory | |
| COPY . /code/ | |
| # Install dependencies using UV with --system flag | |
| RUN uv pip install --system -e . | |
| # Copy only dependency files first to leverage Docker cache | |
| COPY pyproject.toml requirements.lock* /code/ | |
| # Install dependencies using UV with --system flag | |
| RUN uv pip install --system -e . | |
| # Copy the rest of the project files into the working directory | |
| COPY . /code/ |
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Summary by Sourcery
Standardize Python version to 3.13 across the project and replace Poetry with hatchling for building and UV for dependency management, updating Docker, CI workflows, and documentation accordingly.
Enhancements:
Build:
CI:
Deployment:
Documentation:
Chores: