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# --- Stage 1: Build Stage ---
# Use a full Python image to build our dependencies.
FROM python:3.11-slim as builder
# Set the working directory.
WORKDIR /app
# Install poetry for dependency management.
# Using poetry is a best practice for managing dependencies.
RUN pip install poetry
# Copy only the files needed for dependency installation.
# This leverages Docker's layer caching.
COPY pyproject.toml poetry.lock ./
# Install dependencies.
# --no-root: Don't install the project itself, only the dependencies.
# --no-dev: Exclude development dependencies.
RUN poetry install --no-root --no-dev
# --- Stage 2: Runtime Stage ---
# Use a slim Python image for the final container.
FROM python:3.11-slim
# Set the working directory.
WORKDIR /app
# Copy the installed dependencies from the builder stage.
COPY --from=builder /app/.venv /.venv
# Set the PATH to include the virtual environment's bin directory.
ENV PATH="/app/.venv/bin:$PATH"
# Copy the application code.
COPY . .
# Expose the port Gunicorn will run on.
EXPOSE 8000
# The command to run the application using Gunicorn.
CMD ["gunicorn", "-c", "gunicorn_config.py", "main:app"] |