#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ mysql_008 ground truth: 消费组治理项明细提取 Task: Filter input table WHERE dt = '20260507' AND (total_consume_last_90d <> 0 AND total_consume_last_90d IS NOT NULL) AND is_reader = 0 Derive mq_full_topic, app_group, consumergroup_incharge, consumergroup_description, hitted_gov_items, governance_benefit_estimate Write to output table. """ import pymysql import sys DB_NAME = "internal_platform_db" INPUT_TABLE = "dws_mq_consumption_feature_d_increase_mysql_008" OUTPUT_TABLE = "ads_mq_consumergroup_governance_item_d_cand_mysql_008" MYSQL_CONFIG = { "host": "localhost", "port": 3306, "user": "root", "password": "root123", "charset": "utf8mb4", } gt_sql = f""" INSERT INTO {DB_NAME}.{OUTPUT_TABLE} (dt, business_id, business_name, cluster_set, mq_full_topic, topic, consumergroup, system_belong, bg, category_name, app_group, consumergroup_incharge, last_operator, consumergroup_description, create_time, modify_time, bid_incharge, cluster_id, has_metadata, total_produce_pkg_d, total_consume_pkg_d, consume_ratio, total_produce_pkg_last_7d, total_produce_pkg_last_30d, total_produce_pkg_last_90d, total_consume_last_7d, consume_ratio_last_7d, backlog_ratio_last_7d, total_consume_last_30d, consume_ratio_last_30d, backlog_ratio_last_30d, total_consume_last_90d, consume_ratio_last_90d, backlog_ratio_last_90d, backlog_days_last_30d, hitted_gov_items, governance_benefit_estimate) SELECT '20260507' AS dt, business_id, business_name, cluster_set, IF(tenant IS NOT NULL AND namespaces IS NOT NULL, CONCAT('persistent://', tenant, '/', namespaces, '/', topic), topic) AS mq_full_topic, topic, consumergroup, system_belong, bg, category_name, dw_appgroup AS app_group, COALESCE(consumergroup_incharge, bid_incharge) AS consumergroup_incharge, last_operator, usage_desc AS consumergroup_description, create_time, modify_time, bid_incharge, cluster_id, has_metadata, total_produce_pkg_d, total_consume_pkg_d, consume_ratio, total_produce_pkg_last_7d, total_produce_pkg_last_30d, total_produce_pkg_last_90d, total_consume_last_7d, consume_ratio_last_7d, backlog_ratio_last_7d, total_consume_last_30d, consume_ratio_last_30d, backlog_ratio_last_30d, total_consume_last_90d, consume_ratio_last_90d, backlog_ratio_last_90d, backlog_days_last_30d, NULL AS hitted_gov_items, NULL AS governance_benefit_estimate FROM {DB_NAME}.{INPUT_TABLE} WHERE dt = '20260507' AND (total_consume_last_90d <> 0 AND total_consume_last_90d IS NOT NULL) AND is_reader = 0 """ def main(): conn = pymysql.connect(**MYSQL_CONFIG) try: with conn.cursor() as cur: # Ensure output table exists cur.execute(f""" CREATE TABLE IF NOT EXISTS {DB_NAME}.{OUTPUT_TABLE} ( dt VARCHAR(8) COMMENT '天分区', business_id VARCHAR(256) COMMENT '消费组所属的business_id', business_name VARCHAR(256) COMMENT 'business_name', cluster_set VARCHAR(256) COMMENT 'cluster_set', mq_full_topic VARCHAR(512) COMMENT 'mq的完整topic名', topic VARCHAR(256) COMMENT '消费组消费的topic', consumergroup VARCHAR(256) COMMENT '消费组', system_belong VARCHAR(256) COMMENT 'bid所属的系统（数据总线/流处理平台）', bg VARCHAR(256) COMMENT '消费组所属的bg', category_name VARCHAR(256) COMMENT '消费组所归属的产品', app_group VARCHAR(256) COMMENT '消费组所属的应用组', consumergroup_incharge VARCHAR(256) COMMENT '消费组负责人', last_operator VARCHAR(256) COMMENT '消费组最后一次的操作人', consumergroup_description VARCHAR(256) COMMENT '消费组使用描述', create_time VARCHAR(256) COMMENT '消费组创建时间', modify_time VARCHAR(256) COMMENT '消费组修改时间', bid_incharge VARCHAR(256) COMMENT 'bid负责人', cluster_id VARCHAR(256) COMMENT 'bid所属集群id', has_metadata TINYINT COMMENT '消费组是否在数据总线/流处理平台中有元数据', total_produce_pkg_d BIGINT COMMENT '当天上游的消息数的总量', total_consume_pkg_d BIGINT COMMENT '当天消费者消费的消息数的总量', consume_ratio VARCHAR(256) COMMENT '当天消费组的消费生产比例(%)', total_produce_pkg_last_7d BIGINT COMMENT '近7天topic生产的消息数的总量', total_produce_pkg_last_30d BIGINT COMMENT '近30天topic生产的消息数的总量', total_produce_pkg_last_90d BIGINT COMMENT '近90天topic生产的消息数的总量', total_consume_last_7d BIGINT COMMENT '消费组近7天总消费量', consume_ratio_last_7d VARCHAR(256) COMMENT '消费组近7天的生产消费比例(%)', backlog_ratio_last_7d VARCHAR(256) COMMENT '消费组近7天的生产积压比例(%)', total_consume_last_30d BIGINT COMMENT '消费组近30天总消费量', consume_ratio_last_30d VARCHAR(256) COMMENT '消费组近30天的生产消费比例(%)', backlog_ratio_last_30d VARCHAR(256) COMMENT '消费组近30天的生产积压比例(%)', total_consume_last_90d BIGINT COMMENT '消费组近90天总消费量', consume_ratio_last_90d VARCHAR(256) COMMENT '消费组近90天的生产消费比例(%)', backlog_ratio_last_90d VARCHAR(256) COMMENT '消费组近90天的生产积压比例(%)', backlog_days_last_30d INT COMMENT '消费组近30天有新增积压的天数', hitted_gov_items VARCHAR(256) COMMENT '命中治理项', governance_benefit_estimate DOUBLE COMMENT '预估治理收益（集群单元/月）' ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci """) # Truncate + insert cur.execute(f"TRUNCATE TABLE {DB_NAME}.{OUTPUT_TABLE}") cur.execute(gt_sql) conn.commit() print("mysql_008 ground_truth done: rows written to output table") except Exception as e: print(f"ground_truth error: {e}", file=sys.stderr) conn.rollback() sys.exit(1) finally: conn.close() if __name__ == "__main__": main()