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- connexion kept <3 to prevent it from breaking (potential update in future)
WalkthroughPin all dependencies to exact versions in Changes
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Actionable comments posted: 3
🤖 Fix all issues with AI agents
In `@requirements.txt`:
- Around line 9-18: The requirements file uses open-ended >= ranges for core
packages (SQLAlchemy, pydantic, cryptography) which can permit incompatible
major upgrades; update the dependency lines for SQLAlchemy, pydantic, and
cryptography in requirements.txt to add conservative upper bounds (e.g., change
SQLAlchemy >= 2.0.46 to SQLAlchemy >= 2.0.46,<3.0, pydantic >= 2.12.5 to
pydantic >= 2.12.5,<3.0, and cryptography >= 46.0.4 to cryptography >=
46.0.4,<47.0) so future breaking major releases are excluded while preserving
the current minimums.
- Around line 10-11: The requirements file currently pins both "psycopg >=
3.3.2" and "psycopg-binary >= 3.3.2"; remove the "psycopg-binary" entry from the
production requirements and leave only "psycopg >= 3.3.2" in that file, and if
you need the binary wheel for development/testing, add "psycopg-binary >= 3.3.2"
to your dev/test requirements file (e.g., requirements-dev.txt or test
dependencies) and update any CI/lockfile references accordingly.
- Around line 1-6: The requirements list causes a dependency conflict between
Connexion (constraint "<3") and Flask ">= 3.1.2"; either pin Flask to a 2.x
series (e.g., change the Flask spec to <3) to match Connexion 2.x, or upgrade
Connexion to a 3.x compatible spec (e.g., use connexion >=3.x) so Werkzeug
requirements align; also ensure only one PostgreSQL driver is listed by removing
either "psycopg" or "psycopg-binary" so the requirements contain a single
psycopg package.
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Actionable comments posted: 1
🤖 Fix all issues with AI agents
In `@requirements.txt`:
- Around line 1-17: Remove the testing/dev-only packages from the main
requirements file: delete Flask_Testing and coverage from requirements.txt and
create a separate requirements-dev.txt (or requirements-test.txt) that lists
Flask_Testing and coverage (and any other test-only tools) with the same pinned
versions; update any CI, local setup scripts, or docs to install
requirements-dev.txt when running tests so production installs only the runtime
packages like Flask, SQLAlchemy, cryptography, pydantic, and pyjwt.
🧹 Nitpick comments (2)
requirements.txt (2)
11-11: Consider moving testing dependencies to a separate requirements file.
Flask_Testingandcoverageare testing tools that typically don't belong in production dependencies. Moving them to a separaterequirements-dev.txtorrequirements-test.txtreduces the production attack surface and deployment size.📦 Suggested refactor
Create a
requirements-dev.txtfile:-r requirements.txt Flask_Testing == 0.8.1 coverage == 7.13.3Then remove these lines from
requirements.txt:-Flask_Testing == 0.8.1-coverage == 7.13.3Update your CI/CD and local development setup to install from
requirements-dev.txtfor testing, and onlyrequirements.txtfor production deployments.Also applies to: 15-15
1-17: Consider using a lock file approach for dependency management.Exact pinning (==) provides reproducibility but requires manual updates for every security patch or bug fix. Consider using tools like
pip-tools(pip-compile) or Poetry to generate lock files from more flexible constraints, allowing easier security updates while maintaining reproducibility.🔒 Example with pip-tools
requirements.in (flexible constraints):
connexion[swagger-ui] >=2.15.0,<3.0 Flask >=2.3.0,<3.0 SQLAlchemy >=2.0.0,<3.0 # ... other packages with similar rangesGenerate lock file:
pip-compile requirements.inThis produces
requirements.txtwith exact pins, but you can easily regenerate to get updates while respecting your version bounds.
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koudis
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From my humble side tit seems ok.



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