Files
bettafish-company/Dockerfile
T
luojiyin 4dfb70ecfb Improve Dockerfile build configuration and layer caching
- Add SHELL pipefail to catch pipeline errors during build
   - Consolidate environment variables (PATH, PLAYWRIGHT_BROWSERS_PATH)
   - Fix DEBIAN_FRONTEND to inline usage (avoid runtime pollution)
   - Separate Playwright installation for better layer caching
   - Create dedicated /ms-playwright directory for browser binaries
   - Improve comments for better maintainability

   These changes enhance build robustness and optimize Docker layer
   caching without affecting runtime behavior.
2025-11-05 11:26:05 +08:00

63 lines
1.7 KiB
Docker

FROM python:3.11-slim
SHELL ["/bin/bash", "-o", "pipefail", "-c"]
# Prevent Python from writing .pyc files, buffer stdout/stderr, and pin common tooling paths
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
PIP_NO_CACHE_DIR=1 \
PATH="/root/.local/bin:${PATH}" \
PLAYWRIGHT_BROWSERS_PATH=/ms-playwright
# Install system dependencies required by scientific Python stack, Playwright, and Streamlit
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
curl \
git \
libgl1 \
libglib2.0-0 \
libgtk-3-0 \
libpango-1.0-0 \
libpangocairo-1.0-0 \
libatk1.0-0 \
libatk-bridge2.0-0 \
libxcb1 \
libxcomposite1 \
libxdamage1 \
libxext6 \
libxfixes3 \
libxi6 \
libxtst6 \
libnss3 \
libxrandr2 \
libxkbcommon0 \
libasound2 \
libx11-xcb1 \
libxshmfence1 \
libgbm1 \
ffmpeg \
&& apt-get clean && rm -rf /var/lib/apt/lists/*
# Install the latest uv release and expose it on PATH
RUN curl -LsSf --retry 3 --retry-delay 2 https://astral.sh/uv/install.sh | sh
WORKDIR /app
# Install Python dependencies first to leverage Docker layer caching
COPY requirements.txt ./
RUN uv pip install --system -r requirements.txt
# Install Playwright browser binaries (system deps already handled above)
RUN python -m playwright install chromium
# Copy application source
COPY . .
# Ensure runtime directories exist even if ignored in build context
RUN mkdir -p /ms-playwright logs final_reports insight_engine_streamlit_reports media_engine_streamlit_reports query_engine_streamlit_reports
EXPOSE 5000 8501 8502 8503
# Default command launches the Flask orchestrator which starts Streamlit agents
CMD ["python", "app.py"]