spring:
  application:
    name: pharmacopoeia-ai

  datasource:
    url: jdbc:postgresql://localhost:5432/pharmacopoeia
    username: postgres
    password: ${POSTGRES_PASSWORD:pharma2025}
    driver-class-name: org.postgresql.Driver

  jpa:
    hibernate:
      ddl-auto: none
    show-sql: false
    properties:
      hibernate:
        dialect: org.hibernate.dialect.PostgreSQLDialect
        format_sql: true

  data:
    redis:
      host: localhost
      port: 6379

  jackson:
    serialization:
      write-dates-as-timestamps: false

server:
  port: 9000

# ============================================
# Qwen API 配置
# ============================================
qwen:
  api-key: ${QWEN_API_KEY:}
  base-url: https://dashscope.aliyuncs.com/compatible-mode/v1
  model: qwen3.7-max
  max-tokens: 4096
  temperature: 0.0
  # 嵌入模型
  embedding-model: text-embedding-v3
  embedding-url: https://dashscope.aliyuncs.com/api/v1/services/embeddings/text-embedding/text-embedding
  embedding-dim: 1024

# ============================================
# JWT
# ============================================
jwt:
  secret: 1a29ea13c7b26f9d50e414c6768dd25f735b23298d7ec29676bf4f2acb4a6d17
  expiration: 86400000  # 24小时 (ms)

# ============================================
# 微信小程序
# ============================================
wechat:
  app-id: ${WECHAT_APPID:}
  secret: ${WECHAT_SECRET:}

# ============================================
# 限流
# ============================================
rate-limit:
  per-minute: 60
  per-hour: 1000

logging:
  level:
    com.pharmacopoeia: INFO
    org.springframework.web: INFO