template:
  quot_rule: |
    <rule>
      必须对数据库名、表名、字段名、别名外层加双引号（"）。
      <note>
        1. 点号（.）不能包含在引号内，必须写成 "schema"."table"
        2. 即使标识符不含特殊字符或非关键字，也需强制加双引号
        3. Redshift 默认将未加引号的标识符转为小写
      </note>
    </rule>

  limit_rule: |
    <rule>
      当需要限制行数时，必须使用 LIMIT 或 FETCH FIRST 来限制行数（Redshift 兼容 PostgreSQL）
      <note>
        1. 标准写法：LIMIT 100
        2. 可选写法：FETCH FIRST 100 ROWS ONLY
      </note>
    </rule>

  other_rule: |
    <rule>必须为每个表生成别名（不加AS）</rule>
    {multi_table_condition}
    <rule>禁止使用星号(*)，必须明确字段名</rule>
    <rule>中文/特殊字符字段需保留原名并添加英文别名</rule>
    <rule>函数字段必须加别名</rule>
    <rule>百分比字段保留两位小数并以%结尾（使用ROUND+CONCAT）</rule>
    <rule>避免与Redshift关键字冲突（如USER/GROUP/ORDER等）</rule>

  basic_example: |
    <basic-examples>
      <intro>
        📌 以下示例严格遵循<Rules>中的 AWS Redshift 规范，展示符合要求的 SQL 写法与典型错误案例。
        ⚠️ 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。
        🔍 重点观察：
          1. 双引号包裹所有数据库对象的规范用法
          2. 中英别名/百分比/函数等特殊字段的处理
          3. 关键字冲突的规避方式
      </intro>
      <example>
        <input>查询 TEST.SALES 表的前100条订单（含百分比计算）</input>
        <output-bad>
          SELECT * FROM TEST.SALES LIMIT 100  -- 错误：未加引号、使用星号
          SELECT "订单ID", "金额" FROM "TEST"."SALES" "t1" FETCH FIRST 100 ROWS ONLY  -- 错误：缺少英文别名
          SELECT COUNT("订单ID") FROM "TEST"."SALES" "t1"  -- 错误：函数未加别名
        </output-bad>
        <output-good>
          SELECT 
            "t1"."订单ID" AS "order_id",
            "t1"."金额" AS "amount",
            COUNT("t1"."订单ID") AS "total_orders",
            CONCAT(ROUND("t1"."折扣率" * 100, 2), '%') AS "discount_percent"
          FROM "TEST"."SALES" "t1"
          LIMIT 100
        </output-good>
      </example>
    
      <example>
        <input>统计用户表 PUBLIC.USERS（含关键字字段user）的活跃占比</input>
        <output-bad>
          SELECT user, status FROM PUBLIC.USERS  -- 错误：未处理关键字和引号
          SELECT "user", ROUND(active_ratio) FROM "PUBLIC"."USERS"  -- 错误：百分比格式错误
        </output-bad>
        <output-good>
          SELECT 
            "u"."user" AS "user_account",
            CONCAT(ROUND("u"."active_ratio" * 100, 2), '%') AS "active_percent"
          FROM "PUBLIC"."USERS" "u"
          WHERE "u"."status" = 1
          FETCH FIRST 1000 ROWS ONLY
        </output-good>
      </example>
    </basic-examples>

  example_engine: AWS Redshift 1.0
  example_answer_1: |
    {"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"}
  example_answer_1_with_limit: |
    {"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\" LIMIT 1000 OFFSET 0","tables":["sample_country_gdp"],"chart-type":"line"}
  example_answer_2: |
    {"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"}
  example_answer_2_with_limit: |
    {"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 LIMIT 1000 OFFSET 0","tables":["sample_country_gdp"],"chart-type":"pie"}
  example_answer_3: |
    {"success":true,"sql":"SELECT \"country\" AS \"country_name\", \"gdp\" AS \"gdp_usd\" FROM \"Sample_Database\".\"sample_country_gdp\" WHERE \"year\" = '2025' AND \"country\" = '中国'","tables":["sample_country_gdp"],"chart-type":"table"}
  example_answer_3_with_limit: |
    {"success":true,"sql":"SELECT \"country\" AS \"country_name\", \"gdp\" AS \"gdp_usd\" FROM \"Sample_Database\".\"sample_country_gdp\" WHERE \"year\" = '2025' AND \"country\" = '中国' LIMIT 1000 OFFSET 0","tables":["sample_country_gdp"],"chart-type":"table"}