File size: 1,266 Bytes
e716472 1add76f e716472 1add76f e716472 1add76f e716472 1add76f f2c197f 1add76f f2c197f 1add76f f2c197f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | # SOCAR Hackathon - Complete AI System Dockerfile
# Multi-stage build for optimized image size
# Includes OCR, LLM, and frontend capabilities
# Stage 1: Builder
FROM python:3.11-slim as builder
WORKDIR /app
# Install build dependencies
RUN apt-get update && apt-get install -y \
build-essential \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements and install dependencies
COPY app/requirements.txt .
RUN pip install --no-cache-dir --user -r requirements.txt
# Stage 2: Runtime
FROM python:3.11-slim
WORKDIR /app
# Install runtime dependencies
RUN apt-get update && apt-get install -y \
curl \
&& rm -rf /var/lib/apt/lists/*
# Copy Python dependencies from builder
COPY --from=builder /root/.local /root/.local
# Copy application code
COPY app/ ./app/
# Add local bin to PATH
ENV PATH=/root/.local/bin:$PATH
# Expose port (Render uses $PORT dynamically)
EXPOSE 8000
# Health check (disabled for Render compatibility - Render has its own health checks)
# HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
# CMD curl -f http://localhost:${PORT:-8000}/health || exit 1
# Run the application (use $PORT for Render/cloud compatibility, default to 8000)
CMD uvicorn app.main:app --host 0.0.0.0 --port ${PORT:-8000}
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