Dictionary

dictionary:
  # [1] Ingress: 输入准入
  inputs:
    - name: "target_asin"
      type: "string"
      pattern: "^[A-Z0-9]{10}$"
      description: "亚马逊标准识别码"
      required: true
    - name: "callback_url"
      type: "string"
      description: "用户接收异步结果的回调地址"
      required: true
    - name: "api_token"
      type: "string"
      mask: true # 运行日志中自动脱敏

  # [2] Data Pull: 外部数据源实时获取
  external_data:
    - id: "amazon_market_data"
      type: "REST_API"
      config:
        url: "https://api.market-api.com/v1/products/{{inputs.target_asin}}"
        method: "GET"
        headers:
          Authorization: "Bearer {{env.MARKET_API_TOKEN}}"
      cache_policy:
        ttl: 3600 # 缓存 1 小时

  # [3] Actions: 外部服务异步调用
  external_services:
    - action_id: "notify_slack"
      type: "HTTP"
      config:
        method: "POST"
        url: "{{env.SLACK_WEBHOOK}}"
        timeout: 10
        retry_policy:
          max_retries: 3
          interval: "fixed"

  # [4] Egress: 交付资产与结果分发
  outputs:
    # 场景 A: 生成内置的可视化 HTML 报告资产
    - name: "selection_report_html"
      type: "html"
      config:
        title: "选品专家分析报告 - {{inputs.target_asin}}"
        template_ref: "urn:runly:templates:business-report-v1"
        data_mapping:
          market_trend: "{{steps.ai_logic_node.trend}}"
          competitors: "{{data.amazon_market_data.list}}"
      export_as: "artifact"

    # 场景 B: 生成内置的结构化 JSON 数据文件
    - name: "raw_data_json"
      type: "json"
      config:
        export_as_file: true
        filename: "ASIN_{{inputs.target_asin}}.json"

    # 场景 C: 全流程结束后的异步主动推送
    - name: "final_delivery"
      delivery:
        mode: "ASYNC_PUSH"
        target_url: "{{inputs.callback_url}}"
        method: "POST"
        retry_policy:
          max_retries: 5
          interval: "exponential"
        payload_mapping:
          request_id: "{{system.trace_id}}"
          status: "COMPLETED"
          report_url: "{{outputs.selection_report_html.url}}" # 引用生成的资产链接
          data_file: "{{outputs.raw_data_json.url}}"
          summary: "{{steps.ai_logic_node.summary}}"