- Change from 4 workers to 1 worker in both Dockerfile and docker-compose.yml - Helps reduce resource usage and connection reset issues - Better for single-user or low-traffic deployment scenarios 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
41 lines
939 B
Docker
41 lines
939 B
Docker
# Use Python 3.13 slim image as base
|
|
FROM python:3.13-slim
|
|
|
|
# Set working directory
|
|
WORKDIR /app
|
|
|
|
# Install system dependencies
|
|
RUN apt-get update && apt-get install -y \
|
|
build-essential \
|
|
&& rm -rf /var/lib/apt/lists/*
|
|
|
|
# Install uv for Python package management
|
|
RUN pip install uv
|
|
|
|
# Copy project files
|
|
COPY pyproject.toml .
|
|
COPY main.py .
|
|
COPY app/ app/
|
|
COPY migrate_session_changes.py .
|
|
COPY README_MIGRATION.md .
|
|
COPY README.md .
|
|
|
|
# Create uploads directory in the correct location
|
|
RUN mkdir -p app/static/uploads
|
|
|
|
# Create and activate virtual environment, then install dependencies
|
|
RUN uv venv && \
|
|
. .venv/bin/activate && \
|
|
uv pip install -e .
|
|
|
|
# Set environment variables
|
|
ENV FLASK_APP=main.py
|
|
ENV FLASK_ENV=production
|
|
ENV PATH="/app/.venv/bin:$PATH"
|
|
ENV GUNICORN_CMD_ARGS="--workers=1 --bind=0.0.0.0:5000 --timeout=120"
|
|
|
|
# Expose port
|
|
EXPOSE 5000
|
|
|
|
# Run the application with Gunicorn
|
|
CMD ["gunicorn", "main:app"] |