Dockerfile

# AgentFlow v2.0 Dockerfile
# Multi-stage build for production

# =============================================================================
# Stage 1: Base Python image
# =============================================================================
FROM python:3.11-slim AS base

WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y \
    curl \
    build-essential \
    && rm -rf /var/lib/apt/lists/*

# Install Python dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir -r requirements.txt

# =============================================================================
# Stage 2: API Server
# =============================================================================
FROM base AS api

COPY . .

# Create logs directory
RUN mkdir -p logs/decisions

# 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 API server
CMD ["uvicorn", "api.main:app", "--host", "0.0.0.0", "--port", "8000"]

# =============================================================================
# Stage 3: Frontend
# =============================================================================
FROM base AS frontend

COPY . .

# Expose Streamlit port
EXPOSE 8501

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
    CMD curl -f http://localhost:8501/_stcore/health || exit 1

# Run Streamlit
CMD ["streamlit", "run", "frontend/app.py", "--server.address", "0.0.0.0", "--server.port", "8501"]

# =============================================================================
# Default target: API
# =============================================================================
FROM api