# Run the pipeline against a book on your machine:
#
#   export DASHSCOPE_API_KEY=sk-...
#   mkdir -p books data && cp ~/my-book.pdf books/
#   docker compose -f docker/docker-compose.yml run --rm leanbench \
#       ingest /books/my-book.pdf --pages 30-60 --export /data/items.jsonl
#
# The database persists in ./data, so re-running a page range replaces just those items.
services:
  leanbench:
    image: ${LEANBENCH_IMAGE:-gitea.entroia.com/zayden-jung/lean-bench:latest}
    build:
      context: ..
      dockerfile: docker/Dockerfile
      args:
        MATHLIB_REV: ${MATHLIB_REV:-auto}
    environment:
      DASHSCOPE_API_KEY: ${DASHSCOPE_API_KEY:?set DASHSCOPE_API_KEY (or your provider key)}
      LEANBENCH_LLM_MODEL: ${LEANBENCH_LLM_MODEL:-qwen-max}
      LEANBENCH_LLM_BASE_URL: ${LEANBENCH_LLM_BASE_URL:-https://dashscope.aliyuncs.com/compatible-mode/v1}
      LEANBENCH_DATABASE: /data/leanbench.sqlite
    volumes:
      - ../books:/books
      - ../data:/data
    command: ["doctor"]