Spaces:
Running
Running
| # Hugging Face Space (sdk: docker). Escucha en 7860. | |
| FROM python:3.11-slim | |
| ENV PYTHONUNBUFFERED=1 \ | |
| PIP_NO_CACHE_DIR=1 \ | |
| RACING_REPORTS_CACHE_DIR=/tmp/rr-cache \ | |
| RACING_REPORTS_OUTPUT_DIR=/tmp/rr-out \ | |
| HF_HOME=/tmp/hf \ | |
| MPLCONFIGDIR=/tmp/mpl | |
| # libgomp1 lo necesitan torch/lightgbm; el resto vienen como wheels. | |
| RUN apt-get update && apt-get install -y --no-install-recommends \ | |
| libgomp1 && rm -rf /var/lib/apt/lists/* | |
| WORKDIR /app | |
| # Torch CPU primero (evita bajar el build CUDA gigante). | |
| RUN pip install --no-cache-dir torch>=2.2.0 --index-url https://download.pytorch.org/whl/cpu | |
| COPY pyproject.toml README.md ./ | |
| COPY src ./src | |
| COPY vendor ./vendor | |
| RUN pip install --no-cache-dir -e . | |
| # Cache/outputs en disco efímero del Space (escribible). | |
| RUN mkdir -p /tmp/rr-cache /tmp/rr-out /tmp/mpl && chmod -R 777 /tmp/rr-cache /tmp/rr-out /tmp/mpl | |
| # La data del proveedor NO está en el repo (repo público): se baja en runtime de un | |
| # dataset privado a vendor/data. El Space corre como uid 1000, así que hay que dejar | |
| # ese dir escribible. | |
| RUN mkdir -p /app/vendor/data && chmod -R 777 /app/vendor/data | |
| EXPOSE 7860 | |
| CMD ["python", "-m", "racing_reports.web.app"] | |