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llm-automation-docs-and-rem…/deploy/docker/Dockerfile.worker
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chore: improve Docker/Podman compatibility and package installation
- Update Claude permissions to allow podman-compose commands
- Improve Dockerfile package installation with poetry-core
- Switch to explicit docker.io image references for Podman compatibility
- Add PYTHONPATH configuration to ensure proper module imports
- Change frontend port from 80 to 8080 for non-root compatibility
- Add initial chat server implementation (main.py)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-20 02:08:22 +02:00

64 lines
1.5 KiB
Docker

# Dockerfile for Celery Worker Service
FROM python:3.12-slim as builder
WORKDIR /build
# Install Poetry
RUN pip install --no-cache-dir poetry==1.8.0
# Copy dependency files
COPY pyproject.toml poetry.lock ./
# Export dependencies
RUN poetry config virtualenvs.create false \
&& poetry export -f requirements.txt --output requirements.txt --without-hashes
# Runtime stage
FROM python:3.12-slim
LABEL maintainer="automation-team@company.com"
LABEL description="Datacenter Documentation Background Worker"
# Install system dependencies for network automation
RUN apt-get update && apt-get install -y \
gcc \
libpq-dev \
openssh-client \
snmp \
curl \
&& rm -rf /var/lib/apt/lists/*
WORKDIR /app
# Copy requirements from builder
COPY --from=builder /build/requirements.txt .
# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt
# Copy application code and package definition
COPY src/ /app/src/
COPY config/ /app/config/
COPY pyproject.toml README.md /app/
# Install poetry-core (required for install with pyproject.toml)
RUN pip install --no-cache-dir poetry-core
# Install the package
RUN pip install --no-cache-dir /app
# Set PYTHONPATH to ensure module can be imported
ENV PYTHONPATH=/app/src:$PYTHONPATH
# Create necessary directories
RUN mkdir -p /app/logs /app/output
# Create non-root user
RUN useradd -m -u 1000 appuser && \
chown -R appuser:appuser /app
USER appuser
# Run the Celery worker
CMD ["celery", "-A", "datacenter_docs.workers.celery_app", "worker", "--loglevel=info", "--concurrency=4"]