server:
  port: 9900
  servlet:
    encoding:
      charset: UTF-8
      enabled: true
      force: true

file:
  upload:
    path: ./uploads
    allowed-extensions: txt,md

# 知识库配置
knowledge:
  base-path: knowledge_base/

milvus:
  host: in03-4a578da0f27ce9d.serverless.aws-eu-central-1.cloud.zilliz.com
  port: 443
  username: ""
  password: ""
  database: db_4a578da0f27ce9d
  timeout: 10000
  token: ${MILVUS_TOKEN}
  secure: true
  vector-dim: 1024  # BGE-M3 = 1024，换模型时同步改

# =====================================================
# 模型路由配置
# =====================================================
# 通过关键字匹配 Bean，切换模型只改这里 + 对应 api-key
# Chat:     deepseek | openai | ollama | ...
# Embedding: siliconflow | openai | ollama | dashscope | ...
# =====================================================

model-routing:
  chat: deepseek
  embedding: siliconflow

spring:
  # =====================================================
  # 数据源配置 (MySQL)
  # =====================================================
  datasource:
    url: jdbc:mysql://119.29.78.52:33306/superbiz_agent?useUnicode=true&serverTimezone=Asia/Shanghai&allowPublicKeyRetrieval=true
    username: root
    password: ${SUPERBIZ_MYSQL_PASSWORD}
    driver-class-name: com.mysql.cj.jdbc.Driver
    hikari:
      maximum-pool-size: 5
      minimum-idle: 1
      connection-timeout: 10000
      validation-timeout: 5000
      idle-timeout: 60000
      max-lifetime: 120000
      keepalive-time: 30000

  # =====================================================
  # JPA 配置
  # =====================================================
  jpa:
    hibernate:
      ddl-auto: validate  # Flyway 管理表结构，这里使用 validate
    show-sql: true
    properties:
      hibernate:
        format_sql: true
        dialect: org.hibernate.dialect.MySQL8Dialect

  # =====================================================
  # Flyway 数据库迁移配置
  # =====================================================
  flyway:
    enabled: true
    baseline-on-migrate: true
    locations: classpath:db/migration

  # =====================================================
  # Redis 配置
  # =====================================================
  data:
    redis:
      host: 119.29.78.52
      port: 33308
      password: ${SUPERBIZ_REDIS_PASSWORD}
      database: 0
      timeout: 3000
      lettuce:
        pool:
          max-active: 8
          max-idle: 8
          min-idle: 0

  ai:
    # Harness owns allowed retries; provider SDK calls execute once per recorded attempt.
    retry:
      max-attempts: 1

    vectorstore:
      type: milvus
      milvus:
        initialize-schema: false
        database-name: ${milvus.database}
        collection-name: biz
        embedding-dimension: ${milvus.vector-dim}
        index-type: IVF_FLAT
        metric-type: L2
        index-parameters: '{"nlist":128}'
        id-field-name: id
        auto-id: false
        content-field-name: content
        metadata-field-name: metadata
        embedding-field-name: vector
        client:
          host: ${milvus.host}
          port: ${milvus.port}
          token: ${milvus.token}
          username: ${milvus.username}
          password: ${milvus.password}
          secure: ${milvus.secure}
          connect-timeout-ms: ${milvus.timeout}

    # --- Chat: DeepSeek (原生) ---
    deepseek:
      api-key: ${DEEPSEEK_API_KEY}
      base-url: https://api.deepseek.com
      chat:
        options:
          model: deepseek-v4-flash

    # --- OpenAI 模块供 SiliconFlow Embedding 复用 ---
    openai:
      api-key: unused

    # Spring AI MCP 客户端配置
    mcp:
      client:
        enabled: false

# --- Embedding: SiliconFlow BGE-M3 ---
siliconflow:
  api-key: ${SILICONFLOW_API_KEY}
  base-url: https://api.siliconflow.cn
  embedding:
    model: BAAI/bge-m3

# 文档分片配置
document:
  chunk:
    max-size: 800
    overlap: 100

# RAG 配置
rag:
  top-k: 3  # 检索返回的最相似文档数量
  sidecar:
    spring-ai:
      enabled: false
      content-preview-limit: 300

# 检索归一化配置
retrieval:
  kb-scope: ""                         # empty means search all legacy documents; use rag-eval for eval seed docs
  vector-store:
    mode: auto # auto | spring-ai | sdk
  normalization:
    max-l2-distance: 2.0              # L2 距离上界（BGE-M3 单位向量 = 2.0）
    highly-relevant-threshold: 0.75   # similarity >= 0.75 → HIGHLY_RELEVANT
    reference-threshold: 0.5          # similarity >= 0.5 → REFERENCE

# Prometheus 配置
prometheus:
  base-url: http://localhost:9090
  timeout: 10  # 超时时间（秒）
  mock-enabled: true  # 是否启用 Mock 模式（用于测试）

# CLS 云日志服务配置
cls:
  mock-enabled: true  # 是否启用 Mock 模式（用于测试，设为 true 返回与告警关联的模拟日志数据）

# =====================================================
# 日志配置
# =====================================================
logging:
  file:
    name: logs/application.log  # 日志文件路径
  pattern:
    console: "%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n"
    file: "%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n"
  level:
    root: INFO
    com.superbiz.agent: DEBUG  # 本项目包日志级别设为 DEBUG
    org.springframework.ai: DEBUG  # Spring AI 日志
    org.springframework.data: INFO  # Spring Data 日志
    org.hibernate: INFO  # Hibernate 日志
    com.alibaba.cloud: INFO
  logback:
    rollingpolicy:
      max-file-size: 10MB  # 单个日志文件最大 10MB
      max-history: 30  # 保留 30 天
      total-size-cap: 1GB  # 所有日志文件总大小上限 1GB

# Agent-facing MySQL Tool uses independent logical datasources only.
# Production entries are supplied by a dedicated profile and Secret injection.
harness:
  mysql-tools:
    data-sources: {}