案例记录 case-run-00038

运行 #12/multi_join_category_revenue

多表连接品类收入

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。

运行信息

以下字段来自本次运行的冻结记录。

run#12

case run#38

attempt1

statuscompleted

token total19,296

estimated cost不可估算

model generation未记录

SQL execution228ms

adaptercodex_cli

response modetext

requested modelgpt-5.6-sol

resolved modelgpt-5.6-sol

provider request id未提供

started2026年8月29日 16:38

finished2026年8月29日 16:38

suite hash0a4a18b4374f510f5eff18b06272c30c3375e1f082ae405adc8ead7dd9c81556

模型输入

显示本次实际保存的完整 Prompt。

你是 Text-to-SQL 生成器。只生成完成问题所需的 SQL 和简短可见摘要，不输出隐藏推理。

方言与安全规则：
Use DuckDB SQL. Return exactly one read-only query. Do not access files, URLs, extensions, or schemas outside the supplied tables.

数据库结构：
{"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"]}]}

语义层与业务口径：
{"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。"],"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"}]}

问题：
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。

输出必须严格匹配此 JSON Schema：
{"additionalProperties":false,"properties":{"assumptions":{"items":{"type":"string"},"title":"Assumptions","type":"array"},"sql":{"title":"Sql","type":"string"},"summary":{"title":"Summary","type":"string"}},"required":["sql","summary","assumptions"],"title":"GenerationOutput","type":"object"}

调用请求（1）

按事件序号排列；密钥和 Authorization 已移除。

历史证据边界：完整 Prompt 已保存，但这次 codex_cli 记录没有保存底层 HTTP 报文或 CLI 参数。本站不会把推测内容伪装成原始请求；未来运行会在 provider.requested 中记录脱敏后的完整调用信封。

请求 #1SEQ 612026年8月29日 08:38:07 UTC

{
  "isolation_policy_hash": "629c4d319f4fa5f8e9d6ab2028daeec38f2871317f193893c5473fbbbf65c45e",
  "status": "running"
}

模型输出

分别显示原始响应、解析结果和 SQL。

原始响应 raw_output

{"sql":"SELECT\n    p.category AS 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, category ASC","summary":"按商品品类汇总已完成订单的 distinct 订单数和订单行净销售额，并按净销售额降序、品类升序排列。","assumptions":[]}

结构化查询方案 plan

没有可解析方案。

模型生成 SQL

SELECT
    p.category AS category,
    COUNT(DISTINCT o.order_id) AS order_count,
    SUM(oi.quantity * oi.unit_price - oi.discount_amount) AS net_revenue
FROM fact_orders AS o
JOIN fact_order_items AS oi
    ON oi.order_id = o.order_id
JOIN dim_products AS p
    ON p.product_id = oi.product_id
WHERE o.status = 'completed'
GROUP BY p.category
ORDER BY net_revenue DESC, category ASC

规范化 SQL

SELECT
  p.category AS category,
  COUNT(DISTINCT o.order_id) AS order_count,
  SUM(oi.quantity * oi.unit_price - oi.discount_amount) AS net_revenue
FROM fact_orders AS o
JOIN fact_order_items AS oi
  ON oi.order_id = o.order_id
JOIN dim_products AS p
  ON p.product_id = oi.product_id
WHERE
  o.status = 'completed'
GROUP BY
  p.category
ORDER BY
  net_revenue DESC,
  category ASC

Token 与耗时

{
  "token_usage": {
    "cache_write_input_tokens": 0,
    "cached_input_tokens": 9984,
    "input_tokens": 19137,
    "output_tokens": 159,
    "reasoning_output_tokens": 0
  },
  "generation_ms": null,
  "execution_ms": 227.67808299977332
}

评分结果

包含评分明细、参考 SQL、结构要求、比较规则和结果差异。

评分明细 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
}

参考 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

AST 结构要求

[
  {
    "id": "join-2",
    "kind": "min_node_count",
    "min": 2,
    "node": "Join"
  }
]

结果比较规则

{
  "abs_tolerance": "0.005",
  "decimal_scale": 2,
  "duplicate_policy": "multiset",
  "max_rows": 10000,
  "rel_tolerance": "0",
  "row_order_significant": true
}

期望结果预览

{
  "columns": [
    {
      "name": "category",
      "type": "VARCHAR"
    },
    {
      "name": "order_count",
      "type": "BIGINT"
    },
    {
      "name": "net_revenue",
      "type": "DECIMAL(38,2)"
    }
  ],
  "digest": "af1c067cbde5d3ebb464d460874772eec42c667b9ddfa0ec87ec9ae60b1bf25d",
  "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",
      172,
      "27742.00"
    ]
  ]
}

实际结果预览

{
  "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",
      172,
      "27742.00"
    ]
  ]
}

摘要、错误与结果哈希

{
  "visible_summary": "按商品品类汇总已完成订单的 distinct 订单数和订单行净销售额，并按净销售额降序、品类升序排列。",
  "error_code": null,
  "error_message": null,
  "expected_digest": "af1c067cbde5d3ebb464d460874772eec42c667b9ddfa0ec87ec9ae60b1bf25d",
  "actual_digest": "d0fede208558c0fd5b9e302e7c59f5b87917f26b17c13e66bceace8c6e3a5e81",
  "assumptions": null
}

事件记录（7）

按全局事件序号排列，保留时间、级别、类型、消息和 payload。

SEQ 59case.startedinfo2026年8月29日 08:38:07 UTC

{
  "status": "generating"
}

SEQ 60prompt.builtinfo2026年8月29日 08:38:07 UTC

{
  "status": "completed"
}

SEQ 61provider.requestedinfo2026年8月29日 08:38:07 UTC

{
  "isolation_policy_hash": "629c4d319f4fa5f8e9d6ab2028daeec38f2871317f193893c5473fbbbf65c45e",
  "status": "running"
}

SEQ 62provider.deltainfo2026年8月29日 08:38:23 UTC

{
  "text": "{\"sql\":\"SELECT\\n    p.category AS 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, category ASC\",\"summary\":\"按商品品类汇总已完成订单的 distinct 订单数和订单行净销售额，并按净销售额降序、品类升序排列。\",\"assumptions\":[]}"
}

SEQ 63provider.completedinfo2026年8月29日 08:38:23 UTC

{
  "elapsed_ms": 16742.75850000049,
  "status": "completed",
  "token_usage": {
    "cache_write_input_tokens": 0,
    "cached_input_tokens": 9984,
    "input_tokens": 19137,
    "output_tokens": 159,
    "reasoning_output_tokens": 0
  }
}

SEQ 64sql.parsedinfo2026年8月29日 08:38:23 UTC

{
  "status": "completed"
}

SEQ 65score.completedinfo2026年8月29日 08:38:24 UTC

{
  "score": 100,
  "status": "completed"
}

原始案例数据

完整 JSON 字段，不经过页面裁剪。

展开全部原始字段

{
  "actual_digest": "d0fede208558c0fd5b9e302e7c59f5b87917f26b17c13e66bceace8c6e3a5e81",
  "assumptions": null,
  "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": 227.67808299977332,
  "expected_digest": "af1c067cbde5d3ebb464d460874772eec42c667b9ddfa0ec87ec9ae60b1bf25d",
  "expected_result_preview": {
    "columns": [
      {
        "name": "category",
        "type": "VARCHAR"
      },
      {
        "name": "order_count",
        "type": "BIGINT"
      },
      {
        "name": "net_revenue",
        "type": "DECIMAL(38,2)"
      }
    ],
    "digest": "af1c067cbde5d3ebb464d460874772eec42c667b9ddfa0ec87ec9ae60b1bf25d",
    "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",
        172,
        "27742.00"
      ]
    ]
  },
  "finished_at": "2026-08-29T16:38:24.086944",
  "formatted_sql": "SELECT\n  p.category AS 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  category ASC",
  "generated_sql": "SELECT\n    p.category AS 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, category ASC",
  "generation_ms": null,
  "id": 38,
  "model_name": "Sol 本机实测",
  "model_run_id": 13,
  "plan": null,
  "prompt": "你是 Text-to-SQL 生成器。只生成完成问题所需的 SQL 和简短可见摘要，不输出隐藏推理。\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。\"],\"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输出必须严格匹配此 JSON Schema：\n{\"additionalProperties\":false,\"properties\":{\"assumptions\":{\"items\":{\"type\":\"string\"},\"title\":\"Assumptions\",\"type\":\"array\"},\"sql\":{\"title\":\"Sql\",\"type\":\"string\"},\"summary\":{\"title\":\"Summary\",\"type\":\"string\"}},\"required\":[\"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": "连接语义",
  "raw_output": "{\"sql\":\"SELECT\\n    p.category AS 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, category ASC\",\"summary\":\"按商品品类汇总已完成订单的 distinct 订单数和订单行净销售额，并按净销售额降序、品类升序排列。\",\"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-5.6-sol",
  "required_ast": [
    {
      "id": "join-2",
      "kind": "min_node_count",
      "min": 2,
      "node": "Join"
    }
  ],
  "resolved_model_id": "gpt-5.6-sol",
  "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",
        172,
        "27742.00"
      ]
    ]
  },
  "run_id": 12,
  "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": "2026-08-29T16:38:07.084177",
  "status": "completed",
  "suite_content_hash": "0a4a18b4374f510f5eff18b06272c30c3375e1f082ae405adc8ead7dd9c81556",
  "title": "多表连接品类收入",
  "token_usage": {
    "cache_write_input_tokens": 0,
    "cached_input_tokens": 9984,
    "input_tokens": 19137,
    "output_tokens": 159,
    "reasoning_output_tokens": 0
  },
  "visible_summary": "按商品品类汇总已完成订单的 distinct 订单数和订单行净销售额，并按净销售额降序、品类升序排列。"
}

原始案例 JSON ↗完整运行事件 JSONL ↗返回运行 #12