# quantcore for a platform team: the JSON API and /docs, no test bench.
#
#   docker compose -f deploy/docker-compose.students.yml up -d --build
#   curl http://localhost:5001/health
#
# The MILP solver is optional. Point QUANTCORE_CUOPT_URL at a cuOpt server if you have one (on a DGX
# Spark: http://<host>:5000); if it is unreachable, every optimisation falls back to HiGHS on the CPU
# -- slower on large problems, same model, same answer, and the result says which solver produced it.
#
# The data directory is mounted, not baked in: run the setup once (POST /jobs/setup, ~15 min) or copy
# a prepared ./data next to this file.
services:
  quantcore:
    build:
      context: ..
      dockerfile: deploy/Dockerfile
    image: quantcore:0.1
    container_name: quantcore
    restart: unless-stopped
    ports: ["5001:5001"]
    environment:
      QUANTCORE_DATA_DIR: /data
      QUANTCORE_CUOPT_URL: ${QUANTCORE_CUOPT_URL:-http://cuopt:5000}
      QUANTCORE_CUOPT_TIME_LIMIT: "300"
      QUANTCORE_ENABLE_UI: "false"     # the test bench is not part of the deliverable
      QUANTCORE_LOG_LEVEL: INFO
      OPENBLAS_NUM_THREADS: "4"        # small-matrix linear algebra is much slower with all cores
      OMP_NUM_THREADS: "4"
    volumes:
      - ../data:/data