| FROM python:3.12-slim-bookworm |
|
|
| ARG APP_UID=1000 |
| ARG APP_GID=1000 |
|
|
| LABEL org.opencontainers.image.title="SRHarness" \ |
| org.opencontainers.image.description="A harness for agentic symbolic regression" \ |
| org.opencontainers.image.url="https://github.com/yuzhTHU/SRHarness" \ |
| org.opencontainers.image.source="https://github.com/yuzhTHU/SRHarness" \ |
| org.opencontainers.image.licenses="MIT" |
|
|
| ENV PYTHONDONTWRITEBYTECODE=1 \ |
| PYTHONUNBUFFERED=1 \ |
| PIP_DISABLE_PIP_VERSION_CHECK=1 \ |
| MPLCONFIGDIR=/tmp/matplotlib \ |
| XDG_CACHE_HOME=/tmp/cache |
|
|
| RUN groupadd --gid "${APP_GID}" srharness \ |
| && useradd --uid "${APP_UID}" --gid "${APP_GID}" --create-home --shell /usr/sbin/nologin srharness |
|
|
| WORKDIR /app |
|
|
| COPY pyproject.toml README.md LICENSE ./ |
|
|
| RUN --mount=type=cache,target=/root/.cache/pip python - <<'PY' |
| import subprocess |
| import sys |
| import tomllib |
| from pathlib import Path |
|
|
| project = tomllib.loads(Path("pyproject.toml").read_text())["project"] |
| requirements = [ |
| *project["dependencies"], |
| *project["optional-dependencies"]["tools"], |
| ] |
| subprocess.check_call([sys.executable, "-m", "pip", "install", *requirements]) |
| PY |
|
|
| COPY src ./src |
|
|
| RUN --mount=type=cache,target=/root/.cache/pip python -m pip install --no-deps . \ |
| && python -m pip check |
|
|
| RUN install -d -o "${APP_UID}" -g "${APP_GID}" \ |
| /data \ |
| /usr/local/lib/python3.12/site-packages/sr_harness/skills/custom |
| |
| USER srharness |
| WORKDIR /data |
|
|
| EXPOSE 8000 |
|
|
| HEALTHCHECK --interval=30s --timeout=5s --start-period=20s --retries=3 \ |
| CMD python -c "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/health', timeout=3).close()" |
|
|
| ENTRYPOINT ["sr-harness"] |
| CMD ["run", "--save-path", "/data", "--workspace-dir", "/data", "--isolate-users", "--host", "0.0.0.0", "--port", "8000"] |
|
|
