CellLens/docker-compose.yml at main · UFFeScience/CellLens · GitHub

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version: '3.8'

x-airflow-common: &airflow-common
  build: .
  env_file:
    - .env
  environment: &airflow-common-env
    AIRFLOW__CORE__EXECUTOR: LocalExecutor
    AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow
    AIRFLOW__CORE__FERNET_KEY: ''
    AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'true'
    AIRFLOW__CORE__LOAD_EXAMPLES: 'false'
    NEO4J_URI: bolt://neo4j:7687
    NEO4J_USER: neo4j
    NEO4J_PASSWORD: ${NEO4J_PASSWORD}
  volumes:
    - ./dags:/opt/airflow/dags
    - ./data:/opt/airflow/data
    - ./logs:/opt/airflow/logs
  depends_on:
    postgres:
      condition: service_healthy
    neo4j:
      condition: service_started

services:
  postgres:
    image: postgres:13
    environment:
      POSTGRES_USER: airflow
      POSTGRES_PASSWORD: airflow
      POSTGRES_DB: airflow
    ports:
      - "5432:5432"
    healthcheck:
      test: ["CMD", "pg_isready", "-U", "airflow"]
      interval: 5s
      retries: 5
    volumes:
      - postgres_data:/var/lib/postgresql/data

  neo4j:
    image: neo4j:2026.01.3
    environment:
      NEO4J_AUTH: ${NEO4J_USER:-neo4j}/${NEO4J_PASSWORD}
      NEO4J_ACCEPT_LICENSE_AGREEMENT: "yes"

    ports:
      - "7474:7474" # HTTP Browser
      - "7687:7687" # Bolt port
    volumes:
      - neo4j_data:/data

  airflow-init:
    <<: *airflow-common
    command:
      - bash
      - -c
      - >
        airflow pools set pubmed_api_pool 2 "Rate-limit para API do PubMed/NCBI" &&
        airflow pools set gemini_api_pool 4 "Limite de concorrencia para a API do Gemini (evita rajadas / DeadlineExceeded)"
    environment:
      <<: *airflow-common-env
      _AIRFLOW_DB_UPGRADE: 'true'
      _AIRFLOW_WWW_USER_CREATE: 'true'
      _AIRFLOW_WWW_USER_USERNAME: admin
      _AIRFLOW_WWW_USER_PASSWORD: admin

  airflow-webserver:
    <<: *airflow-common
    command: webserver
    ports:
      - "8080:8080"
    depends_on:
      airflow-init:
        condition: service_completed_successfully

  airflow-scheduler:
    <<: *airflow-common
    command: scheduler
    depends_on:
      airflow-init:
        condition: service_completed_successfully

volumes:
  neo4j_data:
  postgres_data: