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demo数据

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zhaoawd
2025-11-14 00:58:00 +08:00
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demo/水务/水务-qwen3-coder-480b-snippet.json Normal file
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[
{
"id": "snpt_water_meter_top_supply_office",
"desc": "统计各供水管理所下辖水表数量并排序",
"type": "topn",
"title": "供水管理所水表数量排行",
"examples": [
"列出水表最多的前10个供水管理所",
"各供水所水表数量排名"
],
"variables": [
{
"name": "top_n",
"type": "int",
"default": 10
}
],
"dialect_sql": {
"mysql": "SELECT supply_office AS dim_value, COUNT(*) AS metric_value FROM `data-ge.water_meter_info` GROUP BY supply_office ORDER BY metric_value DESC LIMIT {{top_n}}"
},
"applicability": {
"constraints": {
"notes": [],
"fk_join_available": false,
"dim_cardinality_hint": 11
},
"time_column": "nullable",
"required_columns": [
"supply_office"
]
},
"business_caliber": "按供水管理所维度聚合水表总数，粒度=供水管理所"
},
{
"id": "snpt_water_meter_top_station",
"desc": "统计各个站点下辖水表数量并排序",
"type": "topn",
"title": "站点水表数量排行",
"examples": [
"列出水表最多的前10个站点",
"各站点水表数量排名"
],
"variables": [
{
"name": "top_n",
"type": "int",
"default": 10
}
],
"dialect_sql": {
"mysql": "SELECT station AS dim_value, COUNT(*) AS metric_value FROM `data-ge.water_meter_info` GROUP BY station ORDER BY metric_value DESC LIMIT {{top_n}}"
},
"applicability": {
"constraints": {
"notes": [
"高基数维度建议LIMIT<=50"
],
"fk_join_available": false,
"dim_cardinality_hint": 36
},
"time_column": "nullable",
"required_columns": [
"station"
]
},
"business_caliber": "按站点维度聚合水表总数，粒度=站点"
},
{
"id": "snpt_water_meter_top_district",
"desc": "统计各区水表数量并排序",
"type": "topn",
"title": "区域水表数量排行",
"examples": [
"列出各区水表数量排名",
"哪个区的水表最多？"
],
"variables": [
{
"name": "top_n",
"type": "int",
"default": 10
}
],
"dialect_sql": {
"mysql": "SELECT district AS dim_value, COUNT(*) AS metric_value FROM `data-ge.water_meter_info` GROUP BY district ORDER BY metric_value DESC LIMIT {{top_n}}"
},
"applicability": {
"constraints": {
"notes": [],
"fk_join_available": false,
"dim_cardinality_hint": 13
},
"time_column": "nullable",
"required_columns": [
"district"
]
},
"business_caliber": "按行政区划维度聚合水表总数，粒度=区"
},
{
"id": "snpt_water_meter_share_by_type",
"desc": "计算各类水表占总水表的比例",
"type": "ratio",
"title": "水表类型占比分布",
"examples": [
"各类水表占比是多少？",
"哪种类型的水表使用最广泛？"
],
"variables": [],
"dialect_sql": {
"mysql": "SELECT meter_type AS dim_value, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM `data-ge.water_meter_info`) AS ratio_percent FROM `data-ge.water_meter_info` GROUP BY meter_type ORDER BY ratio_percent DESC"
},
"applicability": {
"constraints": {
"notes": [],
"fk_join_available": false,
"dim_cardinality_hint": 5
},
"time_column": "nullable",
"required_columns": [
"meter_type"
]
},
"business_caliber": "按水表类型分类计算其占比，粒度=水表类型"
},
{
"id": "snpt_water_meter_subtype_distribution",
"desc": "展示不同水表子类型的数量及比例",
"type": "aggregate",
"title": "水表子类型分布情况",
"examples": [
"各种子类型水表的数量和占比",
"哪种子类型水表最多？"
],
"variables": [],
"dialect_sql": {
"mysql": "SELECT meter_subtype AS dim_value, COUNT(*) AS count_value, ROUND(COUNT(*) * 100.0 / (SELECT COUNT(*) FROM `data-ge.water_meter_info`), 2) AS percentage FROM `data-ge.water_meter_info` GROUP BY meter_subtype ORDER BY count_value DESC"
},
"applicability": {
"constraints": {
"notes": [],
"fk_join_available": false,
"dim_cardinality_hint": 9
},
"time_column": "nullable",
"required_columns": [
"meter_subtype"
]
},
"business_caliber": "按水表子类型进行计数和百分比统计，粒度=水表子类型"
},
{
"id": "snpt_water_meter_installation_position_stats",
"desc": "统计不同安装位置下的水表数量",
"type": "aggregate",
"title": "安装位置分布统计",
"examples": [
"各种安装位置的水表数量",
"哪种安装位置最为常见？"
],
"variables": [],
"dialect_sql": {
"mysql": "SELECT installation_position AS dim_value, COUNT(*) AS count_value FROM `data-ge.water_meter_info` GROUP BY installation_position ORDER BY count_value DESC"
},
"applicability": {
"constraints": {
"notes": [],
"fk_join_available": false,
"dim_cardinality_hint": 4
},
"time_column": "nullable",
"required_columns": [
"installation_position"
]
},
"business_caliber": "按安装位置对水表进行分组计数，粒度=安装位置"
},
{
"id": "snpt_water_meter_grain_check",
"desc": "验证 account_id 和 service_point_id 是否构成唯一组合",
"type": "quality",
"title": "主键粒度校验",
"examples": [
"这张表的数据粒度是否正确？",
"是否存在重复的服务点记录？"
],
"variables": [],
"dialect_sql": {
"mysql": "SELECT IF(COUNT(*) = COUNT(DISTINCT account_id, service_point_id), 'PASS', 'FAIL') AS grain_check_result FROM `data-ge.water_meter_info`"
},
"applicability": {
"constraints": {
"notes": [],
"fk_join_available": false,
"dim_cardinality_hint": null
},
"time_column": "nullable",
"required_columns": [
"account_id",
"service_point_id"
]
},
"business_caliber": "检验数据是否符合预期的主键粒度（account_id + service_point_id）"
},
{
"id": "snpt_water_meter_sample_records",
"desc": "随机抽取部分水表信息用于查看结构",
"type": "sample",
"title": "样本抽取",
"examples": [
"给我看几条水表数据的例子",
"抽查一些原始数据看看格式"
],
"variables": [
{
"name": "limit_rows",
"type": "int",
"default": 5
}
],
"dialect_sql": {
"mysql": "SELECT * FROM `data-ge.water_meter_info` ORDER BY RAND() LIMIT {{limit_rows}}"
},
"applicability": {
"constraints": {
"notes": [],
"fk_join_available": false,
"dim_cardinality_hint": null
},
"time_column": "nullable",
"required_columns": []
},
"business_caliber": "从全量数据中随机采样若干条记录供参考"
}
]