Reinforcement-learning-github_learner_env/Dockerfile at main · TECHNOCRAFT27/Reinforcement-learning-github_learner_env · GitHub

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ARG BASE_IMAGE=ghcr.io/meta-pytorch/openenv-base:latest
FROM ${BASE_IMAGE} AS builder

WORKDIR /app

RUN apt-get update && \
    apt-get install -y --no-install-recommends git && \
    rm -rf /var/lib/apt/lists/*

# Copy everything (now context is correct)
COPY . /app/env

WORKDIR /app/env

# Install uv if missing
RUN if ! command -v uv >/dev/null 2>&1; then \
        curl -LsSf https://astral.sh/uv/install.sh | sh && \
        mv /root/.local/bin/uv /usr/local/bin/uv && \
        mv /root/.local/bin/uvx /usr/local/bin/uvx; \
    fi

# Install deps
RUN --mount=type=cache,target=/root/.cache/uv \
    uv sync --frozen --no-editable

# Runtime
FROM ${BASE_IMAGE}

WORKDIR /app

COPY --from=builder /app/env/.venv /app/.venv
COPY --from=builder /app/env /app/env

ENV PATH="/app/.venv/bin:$PATH"
ENV PYTHONPATH="/app/env:$PYTHONPATH"

CMD ["uvicorn", "server.app:app", "--host", "0.0.0.0", "--port", "8000"]