# Aidem Media Playground — full stack.
#
#   db      Postgres (durable catalog)
#   redis   job queue broker
#   api     FastAPI + Command Center UI  (http://localhost:8000)
#   worker  Ghidra-headless acquisition worker (drains the 'acquire' queue)
#
# api and worker share the `uploads` volume: the API streams an uploaded archive there,
# the worker reads it back by path. Bring it up with:  docker compose up --build
#
# NOTE: the worker image downloads Ghidra (~1 GB) on first build — that layer is slow but cached.

services:
  db:
    image: postgres:16-alpine
    environment:
      POSTGRES_USER: ams
      POSTGRES_PASSWORD: ams
      POSTGRES_DB: ams
    volumes:
      - pgdata:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U ams"]
      interval: 5s
      timeout: 3s
      retries: 10

  redis:
    image: redis:7-alpine
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 5s
      timeout: 3s
      retries: 10

  api:
    build:
      context: .
      dockerfile: docker/api.Dockerfile
    environment:
      DATABASE_URL: postgresql+psycopg://ams:ams@db:5432/ams
      REDIS_URL: redis://redis:6379/0
      AMS_UPLOAD_DIR: /data/uploads
    ports:
      - "8000:8000"
    volumes:
      - uploads:/data/uploads
    depends_on:
      db:
        condition: service_healthy
      redis:
        condition: service_healthy

  worker:
    build:
      context: .
      dockerfile: docker/worker.Dockerfile
    environment:
      DATABASE_URL: postgresql+psycopg://ams:ams@db:5432/ams
      REDIS_URL: redis://redis:6379/0
      AMS_UPLOAD_DIR: /data/uploads
      # Set to 1 (e.g. `AMS_USE_PYGHIDRA=1 docker compose up`) to run the extractor through
      # PyGhidra instead of Jython - needed for Ghidra 11.4+/12.x (build worker with that GHIDRA_URL).
      AMS_USE_PYGHIDRA: ${AMS_USE_PYGHIDRA:-}
    volumes:
      - uploads:/data/uploads
    depends_on:
      db:
        condition: service_healthy
      redis:
        condition: service_healthy

volumes:
  pgdata:
  uploads: