DataAnalysis_Env / Dockerfile
Mohammed-Altaf's picture
fixed uv module activation issue in inference.py during test evaluation
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ARG BASE_IMAGE=python:3.13-slim
FROM ${BASE_IMAGE}
WORKDIR /app
# Install uv
RUN pip install uv --no-cache-dir
# Copy project files
COPY pyproject.toml uv.lock* ./
COPY models.py client.py __init__.py baseline.py inference.py openenv.yaml ./
COPY server/ ./server/
COPY tasks/ ./tasks/
COPY datasets/ ./datasets/
COPY helpers/ ./helpers/
# Install dependencies into the uv-managed venv
RUN uv sync --frozen --no-dev
# Make the venv's python/pip the default so `python inference.py` works
# without needing `uv run` as a prefix
ENV PATH="/app/.venv/bin:$PATH"
# Ensure local modules (client, models, helpers, tasks) are always importable
# regardless of the working directory the evaluator uses
ENV PYTHONPATH="/app:$PYTHONPATH"
# HF Spaces runs containers as a non-root user on port 7860
ENV PORT=7860
EXPOSE 7860
CMD ["uvicorn", "server.app:app", "--host", "0.0.0.0", "--port", "7860"]