# Unified Configuration for Multi-Tenant Search Engine
  # 统一配置文件，所有租户共用一套索引配置
  # 注意：此配置不包含MySQL相关配置，只包含ES搜索相关配置
  
  # Elasticsearch Index
  es_index_name: "search_products"
  
  # ES Index Settings
  es_settings:
    number_of_shards: 1
    number_of_replicas: 0
    refresh_interval: "30s"
  
  # Field Definitions (SPU级别，只包含对搜索有帮助的字段)
  fields:
    # 租户隔离字段（必需）
    - name: "tenant_id"
      type: "KEYWORD"
      required: true
      index: true
      store: true

      return_in_source: true

  
    # 商品标识字段

    - name: "spu_id"

      type: "KEYWORD"
      required: true
      index: true
      store: true

      return_in_source: true

  
    - name: "handle"
      type: "KEYWORD"
      index: true
      store: true

      return_in_source: true

  
    # 文本搜索字段
    - name: "title"
      type: "TEXT"
      analyzer: "chinese_ecommerce"
      boost: 3.0
      index: true
      store: true

      return_in_source: true

  
    - name: "brief"
      type: "TEXT"
      analyzer: "chinese_ecommerce"
      boost: 1.5
      index: true
      store: true

      return_in_source: true

  
    - name: "description"
      type: "TEXT"
      analyzer: "chinese_ecommerce"
      boost: 1.0
      index: true
      store: true

      return_in_source: true

  
    # SEO字段（提升相关性）
    - name: "seo_title"
      type: "TEXT"
      analyzer: "chinese_ecommerce"
      boost: 2.0
      index: true
      store: true

      return_in_source: false  # SEO字段通常不需要在结果中返回

  
    - name: "seo_description"
      type: "TEXT"
      analyzer: "chinese_ecommerce"
      boost: 1.5
      index: true
      store: true

      return_in_source: false

  
    - name: "seo_keywords"
      type: "TEXT"
      analyzer: "chinese_ecommerce"
      boost: 2.0
      index: true
      store: true

      return_in_source: false

  
    # 分类和标签字段（TEXT + KEYWORD双重索引）
    - name: "vendor"

      type: "HKText"

      analyzer: "chinese_ecommerce"
      boost: 1.5
      index: true
      store: true

      return_in_source: true

    - name: "tags"

      type: "HKText"

      analyzer: "chinese_ecommerce"
      boost: 1.0
      index: true
      store: true

      return_in_source: true

    - name: "category"

      type: "HKText"

      analyzer: "chinese_ecommerce"
      boost: 1.5
      index: true
      store: true

      return_in_source: true

    # 价格字段（扁平化）
    - name: "min_price"
      type: "FLOAT"
      index: true
      store: true

      return_in_source: true

  
    - name: "max_price"
      type: "FLOAT"
      index: true
      store: true

      return_in_source: true

  
    - name: "compare_at_price"
      type: "FLOAT"
      index: true
      store: true

      return_in_source: true

  
    # 图片字段（用于显示，不参与搜索）
    - name: "image_url"
      type: "KEYWORD"
      index: false
      store: true

      return_in_source: true

    # 文本嵌入字段（用于语义搜索）

    - name: "title_embedding"

      type: "TEXT_EMBEDDING"
      embedding_dims: 1024
      embedding_similarity: "dot_product"
      index: true
      store: false

      return_in_source: false  # 嵌入向量通常不需要在结果中返回
  
    # 时间字段
    - name: "create_time"
      type: "DATE"
      index: true
      store: true
      return_in_source: true
  
    - name: "update_time"
      type: "DATE"
      index: true
      store: true
      return_in_source: true
  
    - name: "shoplazza_created_at"
      type: "DATE"
      index: true
      store: true
      return_in_source: false  # 通常不需要返回
  
    - name: "shoplazza_updated_at"
      type: "DATE"
      index: true
      store: true
      return_in_source: false  # 通常不需要返回

    # 嵌套skus字段
    - name: "skus"

      type: "JSON"
      nested: true

      return_in_source: true

      nested_properties:

        sku_id:

          type: "keyword"
          index: true
          store: true
        title:
          type: "text"
          analyzer: "chinese_ecommerce"
          index: true
          store: true
        price:
          type: "float"
          index: true
          store: true
        compare_at_price:
          type: "float"
          index: true
          store: true
        sku:
          type: "keyword"
          index: true
          store: true
        stock:
          type: "long"
          index: true
          store: true
        options:
          type: "object"
          enabled: true
  
  # Index Structure (Query Domains)
  indexes:
    - name: "default"
      label: "默认索引"
      fields:
        - "title"
        - "brief"
        - "description"
        - "seo_title"
        - "seo_description"
        - "seo_keywords"
        - "vendor"

        - "tags"
        - "category"
      analyzer: "chinese_ecommerce"
      boost: 1.0
  
    - name: "title"
      label: "标题索引"
      fields:
        - "title"
        - "seo_title"
      analyzer: "chinese_ecommerce"
      boost: 2.0
  
    - name: "vendor"
      label: "品牌索引"
      fields:
        - "vendor"
      analyzer: "chinese_ecommerce"
      boost: 1.5
  
    - name: "category"
      label: "类目索引"
      fields:
        - "category"
      analyzer: "chinese_ecommerce"
      boost: 1.5
  
    - name: "tags"
      label: "标签索引"
      fields:
        - "tags"
        - "seo_keywords"
      analyzer: "chinese_ecommerce"
      boost: 1.0
  
  # Query Configuration
  query_config:
    supported_languages:
      - "zh"
      - "en"
    default_language: "zh"
    enable_translation: true
    enable_text_embedding: true
    enable_query_rewrite: true
  

    # Embedding field names (if not set, will auto-detect from fields)

    text_embedding_field: "title_embedding"  # Field name for text embeddings

    image_embedding_field: null  # Field name for image embeddings (if not set, will auto-detect)
  

    # Translation API (DeepL)
    translation_service: "deepl"
    translation_api_key: null  # Set via environment variable

    # translation_glossary_id: null  # Optional: DeepL glossary ID for custom terminology (e.g., "车" -> "car")
    # translation_context: "e-commerce product search"  # Context hint for better translation disambiguation

  
  # Ranking Configuration
  ranking:
    expression: "bm25() + 0.2*text_embedding_relevance()"
    description: "BM25 text relevance combined with semantic embedding similarity"
  
  # Function Score配置（ES层打分规则）
  function_score:
    score_mode: "sum"
    boost_mode: "multiply"
    
    functions: []
  
  # Rerank配置（本地重排，当前禁用）
  rerank:
    enabled: false
    expression: ""
    description: "Local reranking (disabled, use ES function_score instead)"
  

  # SPU配置（已启用，使用嵌套skus）

  spu_config:
    enabled: true

    spu_field: "spu_id"

    inner_hits_size: 10