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90 lines
4.8 KiB
YAML
90 lines
4.8 KiB
YAML
template:
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quot_rule: |
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<rule>
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必须对数据库名、表名、字段名、别名外层加方括号（[]）。
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<note>
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1. 点号（.）不能包含在方括号内，必须写成 [schema].[table]
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2. 当标识符为关键字、含特殊字符或需保留大小写时必须加方括号
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3. SQL Server 标识符默认不区分大小写
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</note>
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</rule>
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limit_rule: |
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<rule>
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当需要限制行数时，必须使用 Microsoft SQL Server 的SQL语法：
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<note>
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1. 标准写法：TOP [count]
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2. 分页写法：OFFSET [start] ROWS FETCH NEXT [count] ROWS ONLY
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3. 禁止使用 MySQL 的 LIMIT 语法
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</note>
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</rule>
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other_rule: |
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<rule>必须为每个表生成别名（不加AS）</rule>
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{multi_table_condition}
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<rule>禁止使用星号(*)，必须明确字段名</rule>
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<rule>中文/特殊字符字段需保留原名并添加英文别名</rule>
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<rule>函数字段必须加别名</rule>
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<rule>百分比显示为：CONVERT(VARCHAR, ROUND(x*100,2)) + '%'</rule>
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<rule>避免与SQL Server关键字冲突（如[user]/[order]/[desc]）</rule>
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basic_example: |
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<basic-examples>
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<intro>
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📌 以下示例严格遵循<Rules>中的 Microsoft SQL Server 规范，展示符合要求的 SQL 写法与典型错误案例。
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⚠️ 注意：示例中的表名、字段名均为演示虚构，实际使用时需替换为用户提供的真实标识符。
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🔍 重点观察：
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1. 双引号包裹所有数据库对象的规范用法
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2. 中英别名/百分比/函数等特殊字段的处理
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3. 关键字冲突的规避方式
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</intro>
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<example>
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<input>查询 Sales.Orders 表的前100条订单（含中文字段和百分比）</input>
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<output-bad>
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SELECT * FROM Sales.Orders -- 错误：使用星号
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SELECT [订单ID], [金额] FROM [Sales].[Orders] [o] -- 错误：缺少英文别名
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SELECT COUNT([订单ID]) FROM [Sales].[Orders] [o] -- 错误：函数未加别名
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</output-bad>
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<output-good>
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SELECT TOP 100
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[o].[订单ID] AS [order_id],
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[o].[金额] AS [amount],
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COUNT([o].[订单ID]) AS [total_orders],
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CONVERT(VARCHAR, ROUND([o].[折扣率] * 100, 2)) + '%' AS [discount_percent]
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FROM [Sales].[Orders] [o]
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GROUP BY [o].[订单ID], [o].[金额], [o].[折扣率]
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</output-good>
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</example>
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<example>
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<input>统计用户表 dbo.Users（含关键字字段user）的活跃占比</input>
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<output-bad>
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SELECT user, status FROM dbo.Users -- 错误：未处理关键字
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SELECT [user], ROUND(active_ratio*100) FROM [dbo].[Users] -- 错误：百分比格式错误
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</output-bad>
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<output-good>
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SELECT
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[u].[user] AS [user_name],
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CONVERT(VARCHAR, ROUND([u].[active_ratio] * 100, 2)) + '%' AS [active_percent]
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FROM [dbo].[Users] [u]
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WHERE [u].[status] = 1
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ORDER BY [u].[create_date]
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OFFSET 0 ROWS FETCH NEXT 1000 ROWS ONLY
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</output-good>
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</example>
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</basic-examples>
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example_engine: Microsoft SQL Server 2022
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example_answer_1: |
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{"success":true,"sql":"SELECT [country] AS [country_name], [continent] AS [continent_name], [year] AS [year], [gdp] AS [gdp_usd] FROM [Sample_Database].[sample_country_gdp] ORDER BY [country], [year]","tables":["sample_country_gdp"],"chart-type":"line"}
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example_answer_1_with_limit: |
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{"success":true,"sql":"SELECT TOP 1000 [country] AS [country_name], [continent] AS [continent_name], [year] AS [year], [gdp] AS [gdp_usd] FROM [Sample_Database].[sample_country_gdp] ORDER BY [country], [year]","tables":["sample_country_gdp"],"chart-type":"line"}
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example_answer_2: |
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{"success":true,"sql":"SELECT [country] AS [country_name], [gdp] AS [gdp_usd] FROM [Sample_Database].[sample_country_gdp] WHERE [year] = '2024' ORDER BY [gdp] DESC","tables":["sample_country_gdp"],"chart-type":"pie"}
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example_answer_2_with_limit: |
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{"success":true,"sql":"SELECT TOP 1000 [country] AS [country_name], [gdp] AS [gdp_usd] FROM [Sample_Database].[sample_country_gdp] WHERE [year] = '2024' ORDER BY [gdp] DESC","tables":["sample_country_gdp"],"chart-type":"pie"}
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example_answer_3: |
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{"success":true,"sql":"SELECT [country] AS [country_name], [gdp] AS [gdp_usd] FROM [Sample_Database].[sample_country_gdp] WHERE [year] = '2025' AND [country] = N'中国'","tables":["sample_country_gdp"],"chart-type":"table"}
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example_answer_3_with_limit: |
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{"success":true,"sql":"SELECT TOP 1000 [country] AS [country_name], [gdp] AS [gdp_usd] FROM [Sample_Database].[sample_country_gdp] WHERE [year] = '2025' AND [country] = N'中国'","tables":["sample_country_gdp"],"chart-type":"table"}
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