version: "3.9"

services:

  # ─── Fraud Detection API ────────────────────────────────────────────────────
  api:
    build: .
    container_name: fraud-api
    ports:
      - "8000:8000"
    healthcheck:
      test: ["CMD", "python", "-c",
             "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')"]
      interval: 30s
      timeout: 10s
      retries: 3

  # ─── MLflow Tracking UI (local development only) ───────────────────────────
  mlflow:
    image: python:3.11-slim
    container_name: fraud-mlflow
    working_dir: /app
    volumes:
      - ./mlruns:/app/mlruns
    ports:
      - "5000:5000"
    command: >
      bash -c "pip install mlflow --quiet &&
               mlflow ui
               --backend-store-uri sqlite:///mlruns/mlflow.db
               --host 0.0.0.0
               --port 5000"