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llm-automation-docs-and-rem…/deploy/docker/Dockerfile.api
dnviti cc606e366a
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fix: add poetry-plugin-export and fix PYTHONPATH in Dockerfiles
- Install poetry-plugin-export alongside Poetry 1.8.0 in all Python service Dockerfiles (api, chat, worker)
- Fix PYTHONPATH environment variable to avoid undefined variable warnings
- Resolves Docker build pipeline failure where poetry export command was not available

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-21 14:59:50 +02:00

71 lines
1.7 KiB
Docker

# Dockerfile for FastAPI API Service
FROM python:3.12-slim AS builder
WORKDIR /build
# Install Poetry and export plugin
RUN pip install --no-cache-dir poetry==1.8.0 poetry-plugin-export
# 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 API Server"
# Install system dependencies
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
# 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
# Expose API port
EXPOSE 8000
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD curl -f http://localhost:8000/health || exit 1
# Run the API server
CMD ["python", "-m", "uvicorn", "datacenter_docs.api.main:app", "--host", "0.0.0.0", "--port", "8000"]