Spaces:
Running
Running
| # Production image: builds the React frontend, then serves it and the API | |
| # from one uvicorn process. Also what the Hugging Face Space builds (see | |
| # deploy/push_space.py). | |
| # | |
| # Everything the app downloads is baked in at build time: the model files, | |
| # card stats, and prices. The model is pinned to one Hub commit | |
| # (MODEL_REVISION below), and the running container never changes it | |
| # (MTG_MODEL_UPDATE=0), so a deploy is reproducible. To ship a new model | |
| # release, bump MODEL_REVISION in a commit (see README, "Updating the | |
| # model"); rolling back is reverting that commit. Prices still refresh in | |
| # the background once they're a day old. | |
| # | |
| # docker build -t mtg-deck-completion-web . | |
| # docker run -p 8000:8000 mtg-deck-completion-web | |
| FROM node:22-slim AS web | |
| WORKDIR /web | |
| COPY web/package.json web/package-lock.json ./ | |
| RUN npm ci | |
| COPY web/ ./ | |
| RUN npm run build | |
| FROM python:3.14-slim | |
| ENV PIP_NO_CACHE_DIR=1 PYTHONUNBUFFERED=1 | |
| # CPU-only torch wheel: the default one bundles CUDA and is several GB larger. | |
| RUN pip install torch==2.14.0 --index-url https://download.pytorch.org/whl/cpu | |
| COPY requirements-server.txt ./ | |
| RUN pip install -r requirements-server.txt | |
| # Spaces runs the container as uid 1000, and the app writes to data/ (price | |
| # refreshes), so the app directory belongs to that user. | |
| RUN useradd -m -u 1000 user && mkdir /app && chown user:user /app | |
| USER user | |
| ENV HOME=/home/user | |
| WORKDIR /app | |
| COPY --chown=user scryfall_bulk.py ./ | |
| COPY --chown=user tokenizer/ tokenizer/ | |
| COPY --chown=user training/ training/ | |
| COPY --chown=user server/ server/ | |
| # The model release this image serves: a commit sha (or tag) of the Hub repo | |
| # nsaroiu/mtg-deck-completion. The selfcheck loads it and builds a deck, so | |
| # a release this code can't load fails the build, not the running app. The | |
| # download's staging copy (data/.model-snapshot) is only needed for later | |
| # updates, which this image never does, so it's dropped in the same layer. | |
| ARG MODEL_REVISION=52756aa56863c6ce5a9a40325041034667bce2c4 | |
| RUN MTG_MODEL_REVISION=$MODEL_REVISION python -m server.model_files \ | |
| && rm -rf data/.model-snapshot \ | |
| && python -m server.selfcheck | |
| RUN python -m server.card_stats && python -m server.card_prices | |
| COPY --chown=user --from=web /web/dist web/dist | |
| # Torch sizes its thread pool from the host's cores, not the container's | |
| # share; match the vCPUs actually available (2 on a free Space). | |
| ENV MTG_MODEL_UPDATE=0 MTG_API_DOCS=0 OMP_NUM_THREADS=2 | |
| EXPOSE 8000 | |
| CMD ["uvicorn", "server.app:app", "--host", "0.0.0.0", "--port", "8000"] | |