# Token Factory Docker Compose Configuration
#
# Quick Start（完整栈：main应用 + Redis + PostgreSQL）:
#   0. cp .env.example .env  # 复制后在 .env 中填写密码等敏感信息（.env 勿提交仓库）
#   1. docker compose up -d
#   2. Access at http://localhost:3000
#
# 本地仅数据库编排（含资源限制）:
#   docker compose -f docker-compose.local.yml up -d
#
# Using MySQL instead of PostgreSQL:
#   1. Comment out the postgres service and SQL_DSN (token-factory.environment)
#   2. Uncomment the mysql service and SQL_DSN for MySQL
#   3. Uncomment mysql in token-factory.depends_on
#   4. Map mysql_data to ./mysql_data in mysql service volumes (see mysql service)
#
# ⚠️  IMPORTANT: Change all default passwords before deploying to production!

services:
  token-factory:
    image: token-factory:latest
    container_name: token-factory
    restart: always
    command: --log-dir /app/logs
    ports:
      - "3000:3000"
    volumes:
      - ./data:/data
      - ./logs:/app/logs
    environment:
      # 与下方 postgres 的账号库名一致；密码勿含 : @ / # ? 等字符，否则需自行 URL 编码后写入 SQL_DSN
      - SQL_DSN=postgresql://${POSTGRES_USER:-root}:${POSTGRES_PASSWORD}@postgres:5432/${POSTGRES_DB:-token-factory}
#      - SQL_DSN=root:${MYSQL_ROOT_PASSWORD}@tcp(mysql:3306)/${MYSQL_DATABASE:-token-factory}  # 使用 MySQL 时取消注释并配置 .env
      - REDIS_CONN_STRING=redis://redis
      - TZ=Asia/Shanghai
      - ERROR_LOG_ENABLED=true # 是否启用错误日志记录 (Whether to enable error log recording)
      - BATCH_UPDATE_ENABLED=true  # 是否启用批量更新 (Whether to enable batch update)
#      - STREAMING_TIMEOUT=300  # 流模式无响应超时时间，单位秒，默认120秒，如果出现空补全可以尝试改为更大值 （Streaming timeout in seconds, default is 120s. Increase if experiencing empty completions）
      - SESSION_SECRET=fb7918be2d9bda0ac754004f27c7ec2b  # 多机部署时设置，必须修改这个随机字符串！！ （multi-node deployment, set this to a random string!!!!!!!）
#      - SYNC_FREQUENCY=60  # Uncomment if regular database syncing is needed
#      - GOOGLE_ANALYTICS_ID=G-XXXXXXXXXX  # Google Analytics 的测量 ID (Google Analytics Measurement ID)
#      - UMAMI_WEBSITE_ID=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx  # Umami 网站 ID (Umami Website ID)
#      - UMAMI_SCRIPT_URL=https://analytics.umami.is/script.js  # Umami 脚本 URL，默认为官方地址 (Umami Script URL, defaults to official URL)

    depends_on:
      - redis
      - postgres
#      - mysql  # Uncomment if using MySQL
    networks:
      - token-factory-network
    healthcheck:
      test: ["CMD-SHELL", "wget -q -O - http://localhost:3000/api/status | grep -o '\"success\":\\s*true' || exit 1"]
      interval: 30s
      timeout: 10s
      retries: 3

  redis:
    image: redis:latest
    container_name: redis
    restart: always
    # 持久化：官方镜像默认将 RDB 写入 /data/dump.rdb；此处挂载卷并开启 AOF，
    # 容器删除后数据仍在宿主机 ./redis_data（备份/迁移时复制该目录即可）。
    command: >
      redis-server
      --appendonly yes
      --appendfsync everysec
    volumes:
      - ./redis_data:/data
    networks:
      - token-factory-network
    ports:
      - "6379:6379"

  postgres:
    image: postgres:15
    container_name: postgres
    restart: always
    environment:
      POSTGRES_USER: ${POSTGRES_USER:-root}
      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:?请在 .env 中设置 POSTGRES_PASSWORD，可参考 .env.example}
      POSTGRES_DB: ${POSTGRES_DB:-token-factory}
    volumes:
      # 绑定到宿主机目录，便于备份与迁移（复制整个 postgres_data 目录即可）
      - ./postgres_data:/var/lib/postgresql/data
    networks:
      - token-factory-network
    ports:
      - "5432:5432"

#  mysql:
#    image: mysql:8.2
#    container_name: mysql
#    restart: always
#    environment:
#      MYSQL_ROOT_PASSWORD: ${MYSQL_ROOT_PASSWORD:?请在 .env 中设置 MYSQL_ROOT_PASSWORD}
#      MYSQL_DATABASE: ${MYSQL_DATABASE:-token-factory}
#    volumes:
#      - ./mysql_data:/var/lib/mysql
#    networks:
#      - token-factory-network
#    ports:
#      - "3306:3306"  # Uncomment if you need to access MySQL from outside Docker

networks:
  token-factory-network:
    driver: bridge