Livrare LOT 1 - Didi

ai_platform/modules/embeddings/deploy/Dockerfile

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+# Embeddings API Server
+# Multi-stage build for smaller final image
+
+FROM python:3.11.12-slim AS builder
+
+# Install uv
+COPY --from=ghcr.io/astral-sh/uv:0.10 /uv /usr/local/bin/uv
+
+WORKDIR /app
+
+# Copy project files
+COPY pyproject.toml README.md ./
+COPY src/ ./src/
+
+# Install dependencies (with optional extras for backends)
+RUN uv sync --frozen --no-dev --all-extras || uv sync --no-dev --all-extras
+
+# Production image
+FROM python:3.11.12-slim
+
+WORKDIR /app
+
+# Copy virtual environment from builder
+COPY --from=builder /app/.venv /app/.venv
+
+# Copy source code
+COPY src/ ./src/
+
+# Set environment variables
+ENV PATH="/app/.venv/bin:$PATH"
+ENV PYTHONUNBUFFERED=1
+ENV EMB_HOST=0.0.0.0
+ENV EMB_PORT=14100
+
+# Health check (using Python since curl not available in slim image)
+HEALTHCHECK --interval=30s --timeout=10s --retries=3 \
+    CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:14100/health')" || exit 1
+
+# Expose port
+EXPOSE 14100
+
+# Run the server
+CMD ["python", "-m", "embeddings.cli"]