00f36ba892
- Add missing tsconfig.json for encryption-service to enable TypeScript compilation - Create Dockerfile for storage-hal (Rust service) to enable container builds - Create Dockerfile for ml-optimizer (Python service) to enable container builds - Create Dockerfile for sync-coordinator (Node.js service) to enable container builds - Update microservices workflow to include encryption-service in Docker build matrix These changes fix the CI/CD pipeline failures caused by missing build configurations and Dockerfiles that prevented successful builds and deployments.
61 lines
1.3 KiB
Docker
61 lines
1.3 KiB
Docker
# Build stage
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FROM python:3.11-slim as builder
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WORKDIR /app
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# Install build dependencies
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RUN apt-get update && apt-get install -y \
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gcc \
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g++ \
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements
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COPY requirements.txt .
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# Install Python dependencies
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RUN pip install --no-cache-dir --user -r requirements.txt
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# Runtime stage
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FROM python:3.11-slim
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WORKDIR /app
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# Install runtime dependencies
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RUN apt-get update && apt-get install -y \
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libgomp1 \
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&& rm -rf /var/lib/apt/lists/*
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# Copy Python dependencies from builder
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COPY --from=builder /root/.local /root/.local
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# Copy application code
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COPY main.py .
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COPY models ./models
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COPY training ./training
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# Create non-root user
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RUN useradd -m -u 1000 appuser && \
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mkdir -p /var/lib/ml-optimizer /var/log/ml-optimizer && \
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chown -R appuser:appuser /app /var/lib/ml-optimizer /var/log/ml-optimizer
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USER appuser
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# Make sure scripts in .local are usable
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ENV PATH=/root/.local/bin:$PATH
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ENV PYTHONUNBUFFERED=1
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# Expose ports
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EXPOSE 8000 9090
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# Set environment variables
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ENV SERVICE_PORT=8000
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ENV METRICS_PORT=9090
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ENV MODEL_PATH=/var/lib/ml-optimizer/models
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# Health check
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HEALTHCHECK --interval=30s --timeout=3s --start-period=10s --retries=3 \
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CMD python -c "import requests; requests.get('http://localhost:8000/health')" || exit 1
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# Run the application
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CMD ["python", "main.py"]
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