多表连接品类收入

{
  "actual_digest": "6e503af8a397ebfebfbab414336919b32c96bb1b73ff1c0a33a428ca60c1f97d",
  "assumptions": [],
  "attempt": 1,
  "category": "multi_join",
  "comparison": {
    "abs_tolerance": "0.005",
    "decimal_scale": 2,
    "duplicate_policy": "multiset",
    "max_rows": 10000,
    "rel_tolerance": "0",
    "row_order_significant": true
  },
  "difficulty": "medium",
  "error_code": null,
  "error_message": null,
  "execution_ms": 251.31245899683563,
  "expected_digest": "506c1577a41778944c2d7db3e200ca0400ff230ed1aa3cc309365570b3036ea2",
  "expected_result_preview": {
    "columns": [
      {
        "name": "category",
        "type": "VARCHAR"
      },
      {
        "name": "order_count",
        "type": "BIGINT"
      },
      {
        "name": "net_revenue",
        "type": "DECIMAL(38,2)"
      }
    ],
    "digest": "506c1577a41778944c2d7db3e200ca0400ff230ed1aa3cc309365570b3036ea2",
    "row_count": 6,
    "rows": [
      [
        "品类-6",
        186,
        "173783.50"
      ],
      [
        "品类-5",
        160,
        "115932.75"
      ],
      [
        "品类-4",
        160,
        "103119.00"
      ],
      [
        "品类-3",
        167,
        "81588.75"
      ],
      [
        "品类-2",
        175,
        "56692.25"
      ],
      [
        "品类-1",
        173,
        "27832.00"
      ]
    ]
  },
  "finished_at": "2026-08-29T22:06:09.834999",
  "formatted_sql": "SELECT\n  p.category,\n  COUNT(DISTINCT o.order_id) AS order_count,\n  SUM(oi.quantity * oi.unit_price - oi.discount_amount) AS net_revenue\nFROM fact_orders AS o\nJOIN fact_order_items AS oi\n  ON oi.order_id = o.order_id\nJOIN dim_products AS p\n  ON p.product_id = oi.product_id\nWHERE\n  o.status = 'completed'\nGROUP BY\n  p.category\nORDER BY\n  net_revenue DESC,\n  p.category ASC",
  "generated_sql": "SELECT\n    p.category,\n    COUNT(DISTINCT o.order_id) AS order_count,\n    SUM(oi.quantity * oi.unit_price - oi.discount_amount) AS net_revenue\nFROM fact_orders AS o\nJOIN fact_order_items AS oi\n    ON oi.order_id = o.order_id\nJOIN dim_products AS p\n    ON p.product_id = oi.product_id\nWHERE o.status = 'completed'\nGROUP BY p.category\nORDER BY net_revenue DESC, p.category ASC",
  "generation_ms": null,
  "id": 110,
  "model_name": "GPT 当前会话桥接（流程验收）",
  "model_run_id": 19,
  "plan": {
    "filters": [
      "fact_orders.status = 'completed'"
    ],
    "grain": "每行一个商品品类 category",
    "joins": [
      "fact_order_items.order_id = fact_orders.order_id",
      "fact_order_items.product_id = dim_products.product_id"
    ],
    "metrics": [
      "order_count = COUNT(DISTINCT fact_orders.order_id)",
      "net_revenue = SUM(quantity * unit_price - discount_amount)"
    ],
    "risks": [
      "同一订单跨品类时会分别计入各品类的 distinct 订单数",
      "使用 DECIMAL 行金额求和以保持金额精度"
    ],
    "sources": [
      "fact_orders",
      "fact_order_items",
      "dim_products"
    ],
    "steps": [
      "连接订单、订单行和商品三表",
      "筛选已完成订单",
      "按 category 分组计算指标",
      "按 net_revenue 降序、category 升序排序"
    ]
  },
  "prompt": "你是 Text-to-SQL 数据分析与数据开发生成器。先形成简洁、可审计的结构化查询方案，再生成完成问题所需的 SQL；不要输出隐藏推理。\n\n方言与安全规则：\nUse DuckDB SQL. Return exactly one read-only query. Do not access files, URLs, extensions, or schemas outside the supplied tables.\n\n数据库结构：\n{\"semantic_relationships\":[{\"cardinality\":\"many_to_one\",\"from_entity\":\"order\",\"sql_on\":\"fact_orders.customer_id = dim_customers.customer_id\",\"to_entity\":\"customer\"},{\"cardinality\":\"many_to_one\",\"from_entity\":\"order\",\"sql_on\":\"fact_orders.channel_id = dim_channels.channel_id\",\"to_entity\":\"channel\"},{\"cardinality\":\"many_to_one\",\"from_entity\":\"order_item\",\"sql_on\":\"fact_order_items.order_id = fact_orders.order_id\",\"to_entity\":\"order\"},{\"cardinality\":\"many_to_one\",\"from_entity\":\"order_item\",\"sql_on\":\"fact_order_items.product_id = dim_products.product_id\",\"to_entity\":\"product\"},{\"cardinality\":\"many_to_one\",\"from_entity\":\"payment\",\"sql_on\":\"fact_payments.order_id = fact_orders.order_id\",\"to_entity\":\"order\"},{\"cardinality\":\"many_to_one\",\"from_entity\":\"return\",\"sql_on\":\"fact_returns.order_id = fact_order_items.order_id AND fact_returns.line_no = fact_order_items.line_no\",\"to_entity\":\"order_item\"}],\"tables\":[{\"columns\":[{\"data_type\":\"BIGINT\",\"name\":\"channel_id\",\"nullable\":false},{\"data_type\":\"VARCHAR\",\"name\":\"channel_name\",\"nullable\":false},{\"data_type\":\"VARCHAR\",\"name\":\"channel_type\",\"nullable\":false}],\"foreign_keys\":[],\"name\":\"dim_channels\",\"primary_key\":[\"channel_id\"]},{\"columns\":[{\"data_type\":\"BIGINT\",\"name\":\"customer_id\",\"nullable\":false},{\"data_type\":\"VARCHAR\",\"name\":\"customer_name\",\"nullable\":false},{\"data_type\":\"VARCHAR\",\"name\":\"city\",\"nullable\":true},{\"data_type\":\"DATE\",\"name\":\"signup_date\",\"nullable\":false},{\"data_type\":\"VARCHAR\",\"name\":\"segment\",\"nullable\":false}],\"foreign_keys\":[],\"name\":\"dim_customers\",\"primary_key\":[\"customer_id\"]},{\"columns\":[{\"data_type\":\"BIGINT\",\"name\":\"product_id\",\"nullable\":false},{\"data_type\":\"VARCHAR\",\"name\":\"product_name\",\"nullable\":false},{\"data_type\":\"VARCHAR\",\"name\":\"category\",\"nullable\":false},{\"data_type\":\"VARCHAR\",\"name\":\"brand\",\"nullable\":false},{\"data_type\":\"DECIMAL(14,2)\",\"name\":\"list_price\",\"nullable\":false}],\"foreign_keys\":[],\"name\":\"dim_products\",\"primary_key\":[\"product_id\"]},{\"columns\":[{\"data_type\":\"BIGINT\",\"name\":\"order_id\",\"nullable\":false},{\"data_type\":\"BIGINT\",\"name\":\"line_no\",\"nullable\":false},{\"data_type\":\"BIGINT\",\"name\":\"product_id\",\"nullable\":false},{\"data_type\":\"BIGINT\",\"name\":\"quantity\",\"nullable\":false},{\"data_type\":\"DECIMAL(14,2)\",\"name\":\"unit_price\",\"nullable\":false},{\"data_type\":\"DECIMAL(14,2)\",\"name\":\"discount_amount\",\"nullable\":false}],\"foreign_keys\":[{\"columns\":[\"order_id\"],\"referenced_columns\":[\"order_id\"],\"referenced_table\":\"fact_orders\"},{\"columns\":[\"product_id\"],\"referenced_columns\":[\"product_id\"],\"referenced_table\":\"dim_products\"}],\"name\":\"fact_order_items\",\"primary_key\":[\"order_id\",\"line_no\"]},{\"columns\":[{\"data_type\":\"BIGINT\",\"name\":\"order_id\",\"nullable\":false},{\"data_type\":\"BIGINT\",\"name\":\"customer_id\",\"nullable\":false},{\"data_type\":\"BIGINT\",\"name\":\"channel_id\",\"nullable\":false},{\"data_type\":\"DATE\",\"name\":\"order_date\",\"nullable\":false},{\"data_type\":\"VARCHAR\",\"name\":\"status\",\"nullable\":false},{\"data_type\":\"DECIMAL(14,2)\",\"name\":\"total_amount\",\"nullable\":false}],\"foreign_keys\":[{\"columns\":[\"customer_id\"],\"referenced_columns\":[\"customer_id\"],\"referenced_table\":\"dim_customers\"},{\"columns\":[\"channel_id\"],\"referenced_columns\":[\"channel_id\"],\"referenced_table\":\"dim_channels\"}],\"name\":\"fact_orders\",\"primary_key\":[\"order_id\"]},{\"columns\":[{\"data_type\":\"BIGINT\",\"name\":\"payment_id\",\"nullable\":false},{\"data_type\":\"BIGINT\",\"name\":\"order_id\",\"nullable\":false},{\"data_type\":\"TIMESTAMP\",\"name\":\"paid_at\",\"nullable\":false},{\"data_type\":\"VARCHAR\",\"name\":\"payment_method\",\"nullable\":false},{\"data_type\":\"DECIMAL(14,2)\",\"name\":\"amount\",\"nullable\":false},{\"data_type\":\"VARCHAR\",\"name\":\"status\",\"nullable\":false}],\"foreign_keys\":[{\"columns\":[\"order_id\"],\"referenced_columns\":[\"order_id\"],\"referenced_table\":\"fact_orders\"}],\"name\":\"fact_payments\",\"primary_key\":[\"payment_id\"]},{\"columns\":[{\"data_type\":\"BIGINT\",\"name\":\"return_id\",\"nullable\":false},{\"data_type\":\"BIGINT\",\"name\":\"order_id\",\"nullable\":false},{\"data_type\":\"BIGINT\",\"name\":\"line_no\",\"nullable\":false},{\"data_type\":\"TIMESTAMP\",\"name\":\"returned_at\",\"nullable\":false},{\"data_type\":\"BIGINT\",\"name\":\"return_qty\",\"nullable\":false},{\"data_type\":\"DECIMAL(14,2)\",\"name\":\"refund_amount\",\"nullable\":false},{\"data_type\":\"VARCHAR\",\"name\":\"reason\",\"nullable\":true}],\"foreign_keys\":[{\"columns\":[\"order_id\",\"line_no\"],\"referenced_columns\":[\"order_id\",\"line_no\"],\"referenced_table\":\"fact_order_items\"}],\"name\":\"fact_returns\",\"primary_key\":[\"return_id\"]}]}\n\n语义层与业务口径：\n{\"business_rules\":[\"完成订单仅指 fact_orders.status = 'completed'。\",\"净销售额为 quantity * unit_price - discount_amount。\",\"paid、refunded、failed 金额只按 fact_payments.status 分类。\",\"退货率为完成订单的 returned_qty / sold_qty，售出数量仅含完成订单。\",\"月份按 UTC Gregorian calendar 计算。\",\"订单头 total_amount 应等于订单行净额汇总，差异视为数据质量异常。\"],\"dimensions\":[{\"data_type\":\"VARCHAR\",\"description\":\"客户分群\",\"expression\":\"dim_customers.segment\",\"name\":\"customer_segment\"},{\"data_type\":\"VARCHAR\",\"description\":\"商品品类\",\"expression\":\"dim_products.category\",\"name\":\"product_category\"},{\"data_type\":\"VARCHAR\",\"description\":\"渠道类型\",\"expression\":\"dim_channels.channel_type\",\"name\":\"channel_type\"},{\"data_type\":\"VARCHAR\",\"description\":\"UTC Gregorian 月份\",\"expression\":\"strftime(fact_orders.order_date, '%Y-%m')\",\"name\":\"order_month\"}],\"entities\":[{\"description\":\"客户主数据\",\"grain\":\"每行一个客户\",\"name\":\"customer\",\"primary_key\":[\"customer_id\"],\"table\":\"dim_customers\"},{\"description\":\"商品主数据\",\"grain\":\"每行一个商品\",\"name\":\"product\",\"primary_key\":[\"product_id\"],\"table\":\"dim_products\"},{\"description\":\"渠道主数据\",\"grain\":\"每行一个渠道\",\"name\":\"channel\",\"primary_key\":[\"channel_id\"],\"table\":\"dim_channels\"},{\"description\":\"订单头\",\"grain\":\"每行一个订单\",\"name\":\"order\",\"primary_key\":[\"order_id\"],\"table\":\"fact_orders\"},{\"description\":\"订单行\",\"grain\":\"每行一个订单商品行\",\"name\":\"order_item\",\"primary_key\":[\"order_id\",\"line_no\"],\"table\":\"fact_order_items\"},{\"description\":\"支付尝试\",\"grain\":\"每行一笔支付\",\"name\":\"payment\",\"primary_key\":[\"payment_id\"],\"table\":\"fact_payments\"},{\"description\":\"退货记录\",\"grain\":\"每行一条订单行退货\",\"name\":\"return\",\"primary_key\":[\"return_id\"],\"table\":\"fact_returns\"}],\"metrics\":[{\"description\":\"已完成订单数\",\"expression\":\"COUNT(DISTINCT CASE WHEN fact_orders.status = 'completed' THEN fact_orders.order_id END)\",\"filters\":[\"fact_orders.status = 'completed'\"],\"grain\":\"聚合\",\"name\":\"completed_order_count\"},{\"description\":\"完成订单商品行净销售额\",\"expression\":\"SUM(fact_order_items.quantity * fact_order_items.unit_price - fact_order_items.discount_amount)\",\"filters\":[\"fact_orders.status = 'completed'\"],\"grain\":\"聚合\",\"name\":\"net_revenue\"},{\"description\":\"成功支付金额\",\"expression\":\"SUM(CASE WHEN fact_payments.status = 'paid' THEN fact_payments.amount ELSE 0 END)\",\"filters\":[],\"grain\":\"聚合\",\"name\":\"paid_amount\"},{\"description\":\"退款状态支付金额\",\"expression\":\"SUM(CASE WHEN fact_payments.status = 'refunded' THEN fact_payments.amount ELSE 0 END)\",\"filters\":[],\"grain\":\"聚合\",\"name\":\"refunded_amount\"},{\"description\":\"失败支付金额\",\"expression\":\"SUM(CASE WHEN fact_payments.status = 'failed' THEN fact_payments.amount ELSE 0 END)\",\"filters\":[],\"grain\":\"聚合\",\"name\":\"failed_amount\"},{\"description\":\"完成订单退货数量除以售出数量\",\"expression\":\"SUM(fact_returns.return_qty) / SUM(fact_order_items.quantity)\",\"filters\":[\"fact_orders.status = 'completed'\"],\"grain\":\"聚合\",\"name\":\"return_rate\"}],\"relationships\":[{\"cardinality\":\"many_to_one\",\"from_entity\":\"order\",\"sql_on\":\"fact_orders.customer_id = dim_customers.customer_id\",\"to_entity\":\"customer\"},{\"cardinality\":\"many_to_one\",\"from_entity\":\"order\",\"sql_on\":\"fact_orders.channel_id = dim_channels.channel_id\",\"to_entity\":\"channel\"},{\"cardinality\":\"many_to_one\",\"from_entity\":\"order_item\",\"sql_on\":\"fact_order_items.order_id = fact_orders.order_id\",\"to_entity\":\"order\"},{\"cardinality\":\"many_to_one\",\"from_entity\":\"order_item\",\"sql_on\":\"fact_order_items.product_id = dim_products.product_id\",\"to_entity\":\"product\"},{\"cardinality\":\"many_to_one\",\"from_entity\":\"payment\",\"sql_on\":\"fact_payments.order_id = fact_orders.order_id\",\"to_entity\":\"order\"},{\"cardinality\":\"many_to_one\",\"from_entity\":\"return\",\"sql_on\":\"fact_returns.order_id = fact_order_items.order_id AND fact_returns.line_no = fact_order_items.line_no\",\"to_entity\":\"order_item\"}]}\n\n问题：\n按品类统计已完成订单的 distinct 订单数和净销售额 quantity * unit_price - discount_amount，输出 category、order_count、net_revenue，并按 net_revenue 降序、category 升序；至少使用三表 JOIN。\n\n规划要求：\nplan 只记录输出粒度、数据源、连接、过滤、指标、执行步骤和风险检查；每项保持简短。\nSQL 必须严格实现该 plan，并遵循语义层业务口径。\nsummary 只概括最终做法，assumptions 只列无法由上下文确定的必要假设。\n输出必须严格匹配此 JSON Schema：\n{\"$defs\":{\"QueryPlan\":{\"additionalProperties\":false,\"properties\":{\"filters\":{\"items\":{\"type\":\"string\"},\"title\":\"Filters\",\"type\":\"array\"},\"grain\":{\"title\":\"Grain\",\"type\":\"string\"},\"joins\":{\"items\":{\"type\":\"string\"},\"title\":\"Joins\",\"type\":\"array\"},\"metrics\":{\"items\":{\"type\":\"string\"},\"title\":\"Metrics\",\"type\":\"array\"},\"risks\":{\"items\":{\"type\":\"string\"},\"title\":\"Risks\",\"type\":\"array\"},\"sources\":{\"items\":{\"type\":\"string\"},\"title\":\"Sources\",\"type\":\"array\"},\"steps\":{\"items\":{\"type\":\"string\"},\"title\":\"Steps\",\"type\":\"array\"}},\"required\":[\"grain\",\"sources\",\"joins\",\"filters\",\"metrics\",\"steps\",\"risks\"],\"title\":\"QueryPlan\",\"type\":\"object\"}},\"additionalProperties\":false,\"properties\":{\"assumptions\":{\"items\":{\"type\":\"string\"},\"title\":\"Assumptions\",\"type\":\"array\"},\"plan\":{\"$ref\":\"#/$defs/QueryPlan\"},\"sql\":{\"title\":\"Sql\",\"type\":\"string\"},\"summary\":{\"title\":\"Summary\",\"type\":\"string\"}},\"required\":[\"plan\",\"sql\",\"summary\",\"assumptions\"],\"title\":\"GenerationOutput\",\"type\":\"object\"}",
  "provider_request_id": null,
  "question": "按品类统计已完成订单的 distinct 订单数和净销售额 quantity * unit_price - discount_amount，输出 category、order_count、net_revenue，并按 net_revenue 降序、category 升序；至少使用三表 JOIN。",
  "radar_dimension": "连接与粒度",
  "raw_output": "{\"plan\":{\"grain\":\"每行一个商品品类 category\",\"sources\":[\"fact_orders\",\"fact_order_items\",\"dim_products\"],\"joins\":[\"fact_order_items.order_id = fact_orders.order_id\",\"fact_order_items.product_id = dim_products.product_id\"],\"filters\":[\"fact_orders.status = 'completed'\"],\"metrics\":[\"order_count = COUNT(DISTINCT fact_orders.order_id)\",\"net_revenue = SUM(quantity * unit_price - discount_amount)\"],\"steps\":[\"连接订单、订单行和商品三表\",\"筛选已完成订单\",\"按 category 分组计算指标\",\"按 net_revenue 降序、category 升序排序\"],\"risks\":[\"同一订单跨品类时会分别计入各品类的 distinct 订单数\",\"使用 DECIMAL 行金额求和以保持金额精度\"]},\"sql\":\"SELECT\\n    p.category,\\n    COUNT(DISTINCT o.order_id) AS order_count,\\n    SUM(oi.quantity * oi.unit_price - oi.discount_amount) AS net_revenue\\nFROM fact_orders AS o\\nJOIN fact_order_items AS oi\\n    ON oi.order_id = o.order_id\\nJOIN dim_products AS p\\n    ON p.product_id = oi.product_id\\nWHERE o.status = 'completed'\\nGROUP BY p.category\\nORDER BY net_revenue DESC, p.category ASC\",\"summary\":\"连接订单、订单行和商品表，筛选已完成订单后按品类统计 distinct 订单数与订单行净销售额，并按指定顺序排序。\",\"assumptions\":[]}",
  "reference_sql": "SELECT p.category, COUNT(DISTINCT o.order_id) AS order_count, SUM(i.quantity * i.unit_price - i.discount_amount) AS net_revenue FROM fact_order_items i JOIN fact_orders o ON o.order_id = i.order_id JOIN dim_products p ON p.product_id = i.product_id WHERE o.status = 'completed' GROUP BY p.category ORDER BY net_revenue DESC, p.category ASC",
  "requested_model_id": "gpt-session-bridge",
  "required_ast": [
    {
      "id": "join-2",
      "kind": "min_node_count",
      "min": 2,
      "node": "Join"
    }
  ],
  "resolved_model_id": "gpt-session-bridge",
  "result_preview": {
    "columns": [
      {
        "name": "category",
        "type": "VARCHAR"
      },
      {
        "name": "order_count",
        "type": "BIGINT"
      },
      {
        "name": "net_revenue",
        "type": "DECIMAL(38,2)"
      }
    ],
    "extra": [],
    "missing": [],
    "row_count": 6,
    "rows": [
      [
        "品类-6",
        186,
        "173783.50"
      ],
      [
        "品类-5",
        160,
        "115932.75"
      ],
      [
        "品类-4",
        160,
        "103119.00"
      ],
      [
        "品类-3",
        167,
        "81588.75"
      ],
      [
        "品类-2",
        175,
        "56692.25"
      ],
      [
        "品类-1",
        173,
        "27832.00"
      ]
    ]
  },
  "run_id": 16,
  "score": {
    "ast_rules": [
      {
        "details": {
          "actual": 2,
          "required": 2
        },
        "id": "join-2",
        "kind": "min_node_count",
        "passed": true
      }
    ],
    "column_count": 5,
    "column_names": 5,
    "execution": 10,
    "ordering": 10,
    "protocol": 5,
    "read_only_ast": 5,
    "row_f1": 45,
    "sql_capability": 15,
    "total": 100
  },
  "stable_key": "multi_join_category_revenue",
  "started_at": "2026-08-29T22:06:01.432670",
  "status": "completed",
  "suite_content_hash": "5b5d98876ea35114f18ce6dfa48cc9800d88b6baba80d311b2f52552a38b31af",
  "title": "多表连接品类收入",
  "token_usage": {
    "completion_tokens": 257,
    "prompt_tokens": 2383,
    "total_tokens": 2640
  },
  "visible_summary": "连接订单、订单行和商品表，筛选已完成订单后按品类统计 distinct 订单数与订单行净销售额，并按指定顺序排序。"
}