demo数据
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zhaoawd
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demo/水务/水务-gemini2.5-snippet.json
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186
demo/水务/水务-gemini2.5-snippet.json
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[
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{
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"id": "snpt_count-service-points-by-dimension",
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"desc": "按指定维度（如区域、供水所）分组，统计各分类下的用水点数量。",
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"type": "aggregate",
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"title": "按维度统计用水点数",
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"examples": [
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"按区域统计用水点数量",
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"各个供水所分别有多少个用水点"
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],
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"variables": [
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{
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"name": "dimension_column",
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"type": "column",
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"default": "district"
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}
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],
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"dialect_sql": {
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"mysql": "SELECT\n `${dimension_column}`,\n COUNT(DISTINCT service_point_id) AS service_point_count\nFROM\n `data-ge.water_meter_info`\nGROUP BY\n `${dimension_column}`\nORDER BY\n service_point_count DESC;"
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},
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"applicability": {
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"constraints": {
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"notes": [
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"适用于对水表档案信息进行分类汇总统计。",
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"可将变量 ${dimension_column} 替换为任一维度列，如 district, supply_office, station, meter_type 等。"
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],
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"fk_join_available": false,
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"dim_cardinality_hint": null
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},
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"time_column": null,
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"required_columns": [
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"service_point_id"
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]
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},
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"business_caliber": "用水点数：对 `service_point_id` 进行去重计数，代表一个独立的服务点（通常对应一个水表）。统计粒度为“指定维度”。"
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},
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{
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"id": "snpt_topn-service-points-by-dimension",
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"desc": "按指定维度（如区域、站点）统计用水点数，并展示数量最多的前N个分类。",
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"type": "topn",
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"title": "Top-N 用水点数维度排名",
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"examples": [
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"哪个区域的用水点最多",
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"用水点数排名前5的站点是哪些"
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],
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"variables": [
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{
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"name": "dimension_column",
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"type": "column",
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"default": "station"
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},
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{
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"name": "top_n",
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"type": "int",
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"default": 10
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}
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],
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"dialect_sql": {
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"mysql": "SELECT\n `${dimension_column}`,\n COUNT(DISTINCT service_point_id) AS service_point_count\nFROM\n `data-ge.water_meter_info`\nGROUP BY\n `${dimension_column}`\nORDER BY\n service_point_count DESC\nLIMIT ${top_n};"
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},
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"applicability": {
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"constraints": {
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"notes": [
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"维度 `station` 基数较高 (36)，建议 Top-N 查询时结合业务场景合理设置 N 值。"
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],
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"fk_join_available": false,
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"dim_cardinality_hint": 36
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},
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"time_column": null,
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"required_columns": [
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"service_point_id"
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]
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},
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"business_caliber": "用水点数：对 `service_point_id` 进行去重计数。排名依据为各维度分类下的用水点总数。统计粒度为“指定维度”。"
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},
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{
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"id": "snpt_ratio-service-points-by-dimension",
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"desc": "计算在指定维度下，各分类的用水点数占总用水点数的百分比，以分析其分布构成。",
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"type": "ratio",
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"title": "各维度用水点数占比",
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"examples": [
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"不同水表类型（meter_type）的分布情况",
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"各个区域的用水点占比是多少"
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],
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"variables": [
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{
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"name": "dimension_column",
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"type": "column",
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"default": "meter_type"
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}
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],
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"dialect_sql": {
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"mysql": "SELECT\n `${dimension_column}`,\n COUNT(DISTINCT service_point_id) AS service_point_count,\n COUNT(DISTINCT service_point_id) * 100.0 / SUM(COUNT(DISTINCT service_point_id)) OVER () AS percentage\nFROM\n `data-ge.water_meter_info`\nGROUP BY\n `${dimension_column}`\nORDER BY\n service_point_count DESC;"
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},
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"applicability": {
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"constraints": {
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"notes": [
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"SQL模板使用了窗口函数 SUM() OVER()，请确保MySQL版本支持（8.0+）。"
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],
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"fk_join_available": false,
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"dim_cardinality_hint": null
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},
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"time_column": null,
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"required_columns": [
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"service_point_id"
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]
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},
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"business_caliber": "用水点数占比：某分类下的用水点数 / 总用水点数。用水点数以 `service_point_id` 去重计数。统计粒度为“指定维度”。"
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},
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{
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"id": "snpt_quality-check-duplicate-spid",
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"desc": "查找在用水点信息表中存在重复的 `service_point_id`，用于数据质量校验。",
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"type": "quality",
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"title": "检查重复的用水点ID",
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"examples": [
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"检查是否存在重复的水表档案",
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"校验用水点ID的唯一性"
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],
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"variables": [],
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"dialect_sql": {
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"mysql": "SELECT\n service_point_id,\n COUNT(*) AS occurrences\nFROM\n `data-ge.water_meter_info`\nGROUP BY\n service_point_id\nHAVING\n COUNT(*) > 1;"
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},
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"applicability": {
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"constraints": {
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"notes": [
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"预期返回结果为空。若有返回，则表示数据存在一致性问题，`service_point_id` 未能作为唯一主键。"
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],
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"fk_join_available": false,
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"dim_cardinality_hint": null
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},
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"time_column": null,
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"required_columns": [
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"service_point_id"
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]
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},
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"business_caliber": "重复项：指 `service_point_id` 出现次数大于1的记录。此ID应为表的主键，理论上不应重复。"
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},
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{
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"id": "snpt_sample-filter-service-points-by-dims",
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"desc": "根据区域、水表类型、供水所等多个维度组合条件，筛选出符合条件的用水点明细。",
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"type": "sample",
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"title": "多维度筛选用水点列表",
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"examples": [
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"查询城区的机械表有哪些",
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"拉取某个供水所下特定口径水表的列表"
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],
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"variables": [
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{
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"name": "district_name",
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"type": "string",
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"default": "城区"
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},
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{
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"name": "meter_type_name",
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"type": "string",
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"default": "机械表"
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},
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{
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"name": "limit_num",
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"type": "int",
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"default": 100
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}
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],
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"dialect_sql": {
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"mysql": "SELECT\n service_point_id,\n account_id,\n district,\n supply_office,\n meter_type,\n meter_subtype,\n meter_diameter\nFROM\n `data-ge.water_meter_info`\nWHERE\n district = '${district_name}'\n AND meter_type = '${meter_type_name}'\n -- AND meter_status = '有效' -- 可选：根据画像，该列为常量'有效'，可不加\nLIMIT ${limit_num};"
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},
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"applicability": {
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"constraints": {
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"notes": [],
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"fk_join_available": false,
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"dim_cardinality_hint": null
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},
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"time_column": null,
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"required_columns": [
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"service_point_id",
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"account_id",
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"district",
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"supply_office",
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"meter_type",
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"meter_subtype",
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"meter_diameter"
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]
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},
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"business_caliber": "返回满足所有筛选条件的用水点明细信息。`meter_status` 列只有一个值 '有效'，通常无需作为筛选条件。"
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}
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]
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