safeyatra-fastapi / Dockerfile
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Deploying fast api with large graph
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FROM python:3.10-slim
# Keep your existing environment optimizations (Excellent for GraphML processing)
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV OMP_NUM_THREADS=1
ENV MKL_NUM_THREADS=1
ENV OPENBLAS_NUM_THREADS=1
# 1. Create a non-root user with ID 1000 (REQUIRED for HF Spaces security)
# This prevents permission errors when your app tries to write temp files.
RUN useradd -m -u 1000 user
WORKDIR /app
# 2. Set ownership of the working directory to the new user
# This ensures the user can write to the local folder if needed.
COPY --chown=user requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Copy the rest of the code (including the 500MB graph)
COPY --chown=user . .
# Switch to the non-root user
USER user
# Add the local bin to PATH (for uvicorn)
ENV PATH="/home/user/.local/bin:$PATH"
# 3. CRITICAL CHANGE: Port must be 7860
# Hugging Face Spaces strictly routes traffic to port 7860.
# If you use 8080, your app will stay in "Building" forever.
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]