RevLogiXenv / Dockerfile
AdityaProCoder
fix: exact spec format + clamp rewards to (0.01,0.99) + drop Google/Vertex AI
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# OpenEnv/FastAPI runtime image for RevLogiXenv
FROM python:3.12-slim
WORKDIR /app
# Runtime safety + cleaner logs
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
PATH="/app/.venv/bin:${PATH}" \
PIP_NO_CACHE_DIR=1 \
PORT=8000
# Minimal OS deps + healthcheck utility
RUN apt-get update && apt-get install -y --no-install-recommends \
curl ca-certificates \
&& rm -rf /var/lib/apt/lists/*
# Install uv for lockfile-based environment sync
RUN pip install --upgrade pip uv
# Copy metadata/lock first to maximise Docker layer caching
COPY pyproject.toml uv.lock README.md ./
# Copy package source and entry-points
COPY RevLogiXenv_v0 ./RevLogiXenv_v0
COPY server ./server
COPY openenv.yaml ./openenv.yaml
COPY run_baseline.py run_server.py inference.py ./
# Install dependencies exactly from lockfile (no dev extras, no google deps)
RUN uv sync --frozen --no-dev
EXPOSE 8000
# Basic liveness check expected by OpenEnv/FastAPI deployments
HEALTHCHECK --interval=30s --timeout=5s --start-period=15s --retries=3 \
CMD curl -fsS http://localhost:8000/health || exit 1
# Start OpenEnv-compatible FastAPI app
CMD ["uv", "run", "uvicorn", "server.app:app", "--host", "0.0.0.0", "--port", "8000"]