server:
  address: ":3000"
  name: "customer-server"


jwt:
  secret: "abcdefghijklmnopqrstuvwxyz"

rate:
  limit: 200
  burst: 300

# --- 华为云服务器（116.204.74.41:17027，带认证） ---
#mongo:
#  default:
#    address: "mongodb://root:M0ng0DB%40Pass2026%21@116.204.74.41:17027?authSource=admin"
#    database: "customer_service"
#  logger:
#    level: "all"
#    stdout: true

# --- 内网服务器（192.168.3.200:27017，无认证） ---
mongo:
  default:
    address: "mongodb://192.168.3.200:27017/?directConnection=true"
    database: "customer_service"
  logger:
    level: "all"
    stdout: true

redis:
  default:
    address: 116.204.74.41:6379
    db: 0
    idleTimeout: "60s"
    maxConnLifetime: "90s"
    waitTimeout: "60s"
    dialTimeout: "30s"
    readTimeout: "30s"
    writeTimeout: "30s"
    maxActive: 100

consul:
  address: 116.204.74.41:8500

rabbitmq:
  host: 116.204.74.41
  port: 5672
  username: root
  password: root
  # 响应队列配置（从message迁移）
  responseExchange: "ragflow.response"
  responseQueue: "ragflow.response.queue"
  responseRoutingKey: "#"  # 匹配所有routing key
  # 不配置instanceName，直接使用os.Hostname()获取容器名/主机名作为实例ID

jaeger:
  addr: 116.204.74.41:4318

# RAGFlow配置（customerservice只需要base_url和api_key用于更新prompt接口）
ragflow:
  base_url: "http://116.204.74.41"
  api_key: "ragflow-tg4BrmCIDXbZDB80JGyq1cDNFyr2_kfAEd053YuDV58"
  default_model: "qwen3-235b-a22b-instruct-2507"  # 默认LLM模型，可通过Consul动态覆盖
  embedding_model: "text-embedding-v4@Tongyi-Qianwen"  # embedding模型，创建知识库时使用（格式：model@factory）

followUp:
  enable: true
  queue: "followup.queue"
  exchange: "followup.delayed"
  routingKey: "followup"
  delays: [30, 60, 180]  # 三次追问延时（秒）：第一次30s，第二次60s，第三次180s
  contents:
    - "还有其他问题吗？"
    - "如果需要帮助，随时告诉我～"
    - "我一直在线，有问题随时找我～"

archive:
  enable: true
  queue: "archive.queue"
  exchange: "archive.delayed"
  routingKey: "archive"
  delay: 3600  # 归档延时（秒），默认1小时
  # 月度归档配置
  enabled: true                    # 是否启用月度归档
  cron: "0 0 0 1 * *"             # 每月1号0点执行（归档上个月整月数据）
  mongoBatchSize: 1000             # 从原表复制到临时表的批量大小
  esBatchSize: 500                 # 从临时表写入 ES 的批量大小
  testMode: true                   # 测试模式：true=归档最近7天，false=归档上个月（生产环境设为false）

# 卡片触发配置
card:
  triggerCount: 5                  # 触发发送卡片的对话轮数（对话>=此值时触发）

# 历史上下文配置
history:
  contextLimit: 5                  # 读取历史对话轮数（用于新Session上下文注入）

# Elasticsearch 配置
elasticsearch:
  addresses:
    - "http://116.204.74.41:9200"
  username: ""
  password: ""

database:
  logger:
    level: "none"    # 关闭数据库日志
    stdout: false