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The note in TODO-refactor-remaining.md said ERSMS's four were structural and that a fix "would rewrite both models". Both halves were wrong. flask-sqlalchemy 3.1.1 does ship py.typed; the real blocker was that `class User(db.Model)` is attribute access, which mypy cannot resolve in a base-class position. backend/models.py now declares a named DeclarativeBase with SQLAlchemy 2.0 Mapped[] columns. The Model mixin goes away with the base, so the six legacy Model.query call sites became db.session selects and the two table names are spelled out rather than derived. Verified by driving the real routes through Flask's test client with Firebase stubbed out -- 16 scenarios covering every one of the six call sites, plus both CREATE TABLE statements, byte-identical to the submitted version. That harness caught the one thing review would not have: mapped_column(ForeignKey( "user.uid")) silently infers VARCHAR(80) from the referenced column, which had changed the submitted `user_id INTEGER`. An explicit Integer puts it back. app.py went over the 250-line cap on the way, hence the split; models.py takes the shebang + exec bit that NLP's nine import-only modules already use, since __init__.py would make `from models import` unresolvable to mypy while it still works at runtime. backend/Dockerfile copied only app.py, so it needed the new file too. PSD's two are pyflink's MapFunction and KeyedProcessFunction, which ship no types and are not installed in that venv at all -- a hand-written .pyi would assert an API nothing here can check. A [[tool.mypy.overrides]] scoped to that one module turns off disallow_subclassing_any and nothing else. ERSMS 4 -> 0, PSD 2 -> 0, under --strict. ruff and ruff format clean. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0172dj34FDpao6wsix8ZuCzE
23 lines
649 B
Docker
23 lines
649 B
Docker
# Use an official Python runtime as a parent image
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FROM python:3.10-slim
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# Set the working directory to /app
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WORKDIR /app
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# Install necessary OS packages
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential \
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&& rm -rf /var/lib/apt/lists/*
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# Copy the Python script, requirements, and constants.ini file into the container at /app
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COPY ./app.py /app/
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COPY ./models.py /app/
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COPY requirements.txt .
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COPY .env .
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# Install any needed packages specified in requirements.txt
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RUN pip install --no-cache-dir -r requirements.txt
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# Run frontend_AI_connector.py when the container launches
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CMD ["python", "./app.py"] |