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| # Dockerfile untuk deployment AI Model ke Google Cloud Run | |
| FROM python:3.11-slim | |
| ENV PYTHONDONTWRITEBYTECODE=1 | |
| ENV PYTHONUNBUFFERED=1 | |
| ENV PORT=7860 | |
| RUN apt-get update && apt-get install -y \ | |
| gcc \ | |
| g++ \ | |
| libgomp1 \ | |
| curl \ | |
| && rm -rf /var/lib/apt/lists/* | |
| WORKDIR /app | |
| COPY requirements.txt . | |
| RUN pip install --no-cache-dir -r requirements.txt | |
| COPY api/ ./api/ | |
| COPY data/ ./data/ | |
| COPY models/ ./models/ | |
| COPY training/ ./training/ | |
| COPY scripts/ ./scripts/ | |
| COPY tests/ ./tests/ | |
| # Create necessary directories with permissions | |
| RUN mkdir -p /app/data /app/models /app/logs && \ | |
| useradd -m -u 1000 appuser && \ | |
| chown -R appuser:appuser /app | |
| USER appuser | |
| EXPOSE 7860 | |
| HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \ | |
| CMD sh -lc 'curl -f http://localhost:${PORT}/health || exit 1' | |
| CMD ["sh", "-lc", "uvicorn api.main:app --host 0.0.0.0 --port ${PORT:-7860} --workers 2"] | |