Dockerfile

# Use the official Python 3.11 slim image
FROM python:3.11-slim

# Install system dependencies required for Math/Data libraries
# libgomp1 is CRITICAL for scikit-learn & numpy parallelization to prevent segfaults
RUN apt-get update && \
    apt-get install -y --no-install-recommends \
    curl \
    gcc \
    g++ \
    libgomp1 \
    && rm -rf /var/lib/apt/lists/*

# Set the working directory inside the container
WORKDIR /app

# Create required directories with permissions
RUN mkdir -p /app/generated_outputs /app/generated_charts /app/cache && \
    chmod -R 777 /app/generated_outputs /app/generated_charts /app/cache

# Create log files
RUN touch /app/pandasai.log /app/api_key_rotation.log && \
    chmod 666 /app/pandasai.log /app/api_key_rotation.log

# Set environment variables
ENV MPLCONFIGDIR=/app/cache

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

# Copy application code
COPY . .

# Ensure permissions
RUN chown -R 1000:1000 /app && chmod -R 777 /app

# Expose port
EXPOSE 7860

# CMD: Run the python script directly.
# This ensures the 'if __name__ == "__main__":' block in your code actually runs.
CMD bash -c "while true; do curl -s https://code-api-executor.hf.space/ping >/dev/null && sleep 300; done & python controller.py"