# Powerlifting Coach — web demo container.
# Targets Hugging Face Spaces (Docker SDK) but runs anywhere Docker does.
#
# The server imports the rules engine from ../ml via app/_ml_path.py, so both
# server/ and ml/ are copied in. Runtime deps live in server/pyproject.toml
# (fastapi, mediapipe, opencv, numpy, anthropic); the rules engine only needs
# numpy — no torch, no GPU.
FROM python:3.12-slim

# ffmpeg: clip normalization + browser-safe re-encode.
# libgl1 / libglib2 / libgles2 / libegl1: opencv + mediapipe's GL stack.
# mediapipe dlopens libGLESv2.so.2 + libEGL.so.1 at runtime, so bare libgl1
# isn't enough — without these the pipeline crashes with
# "libglesv2.so.2: cannot open shared object file".
RUN apt-get update && apt-get install -y --no-install-recommends \
        ffmpeg \
        libgl1 \
        libglib2.0-0 \
        libgles2 \
        libegl1 \
    && rm -rf /var/lib/apt/lists/*

# uv — the project's package manager.
COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/

# HF Spaces runs as a non-root user (uid 1000). Match it so writes work.
RUN useradd -m -u 1000 app
ENV HOME=/home/app \
    UV_LINK_MODE=copy \
    UV_PYTHON_DOWNLOADS=never \
    PYTHONUNBUFFERED=1

WORKDIR /app
COPY --chown=app:app server/ ./server/
COPY --chown=app:app ml/ ./ml/

USER app
WORKDIR /app/server
RUN uv sync --no-dev

# HF Spaces injects $PORT (default 7860).
ENV PORT=7860
EXPOSE 7860

CMD ["sh", "-c", "uv run --no-dev uvicorn app.main:app --host 0.0.0.0 --port ${PORT:-7860}"]