Dockerfile.executor

# Dockerfile.executor
# Docker image for TaskWeaver Code Execution Server
#
# Build:
#   docker build -f Dockerfile.executor -t taskweaver-executor:latest .
#
# Run:
#   docker run -p 8000:8000 -v $(pwd)/workspace:/app/workspace taskweaver-executor:latest
#
# With API key:
#   docker run -p 8000:8000 -e TASKWEAVER_SERVER_API_KEY=your-secret-key taskweaver-executor:latest

FROM python:3.10-slim

WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    gcc \
    g++ \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements and install Python dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Install additional dependencies for the execution server
RUN pip install --no-cache-dir \
    fastapi \
    uvicorn[standard] \
    httpx \
    jupyter_client \
    ipykernel

# Copy TaskWeaver package (only required modules for execution)
COPY taskweaver/ ./taskweaver/

# Create workspace directory for session data
RUN mkdir -p /app/workspace

# Create non-root user for security
RUN useradd -m -s /bin/bash executor && \
    chown -R executor:executor /app
USER executor

# Environment variables (can be overridden at runtime)
ENV TASKWEAVER_SERVER_HOST=0.0.0.0
ENV TASKWEAVER_SERVER_PORT=8000
ENV TASKWEAVER_SERVER_WORK_DIR=/app/workspace
ENV PYTHONPATH="/app"
ENV PYTHONUNBUFFERED=1

# Expose the server port
EXPOSE 8000

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
    CMD python -c "import httpx; httpx.get('http://localhost:8000/api/v1/health').raise_for_status()" || exit 1

# Run the execution server
CMD ["python", "-m", "taskweaver.ces.server", "--host", "0.0.0.0", "--port", "8000"]