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46 lines
2.2 KiB
46 lines
2.2 KiB
15 hours ago
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# -*- coding: utf-8 -*-
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"""heavy ❌3 现场取证：F-14 执行期失败原因 + F-13.10 SALES_ID assignable 数据态"""
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import sys, io, json
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sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
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import pymysql
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conn = pymysql.connect(host='8.129.84.155', user='root', password='Itc@123456',
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database='crm', charset='utf8mb4', autocommit=True,
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cursorclass=pymysql.cursors.DictCursor)
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cur = conn.cursor()
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TASK = 751728797912399872
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print('== F-14 任务 751728797912399872 ==')
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cur.execute("SELECT id,status,import_mode,total_count,insert_count,update_count,fail_count,"
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"suspect_count,fail_reason FROM customer_import_task WHERE id=%s", (TASK,))
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for x in cur.fetchall():
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print(json.dumps({k: str(v) for k, v in x.items()}, ensure_ascii=False)[:400])
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print('-- fail 明细（sheetName/rowNum/identity/reason 去重展示）--')
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cur.execute("SELECT sheet_name,row_num,customer_identity,fail_field,LEFT(fail_reason,90) fr "
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"FROM customer_import_fail WHERE task_id=%s ORDER BY id LIMIT 12", (TASK,))
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for x in cur.fetchall():
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print(json.dumps({k: str(v) for k, v in x.items()}, ensure_ascii=False)[:260])
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print()
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print('== customer 全列 NOT NULL 无默认扫描（D-05 族群清单）==')
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cur.execute("SELECT COLUMN_NAME, COLUMN_TYPE, COLUMN_COMMENT FROM information_schema.COLUMNS "
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"WHERE TABLE_SCHEMA='crm' AND TABLE_NAME='customer' AND IS_NULLABLE='NO' "
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"AND COLUMN_DEFAULT IS NULL AND COLUMN_KEY NOT IN ('PRI')")
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for x in cur.fetchall():
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print(json.dumps({k: str(v) for k, v in x.items()}, ensure_ascii=False))
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print()
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print('== F-13.10 SALES_ID 数据态 ==')
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cur.execute("SELECT id,username,dept_id,enabled,employment_status FROM auth_user "
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"WHERE id IN ('760000000000000001','739564171091247104','744842318024015872')")
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for x in cur.fetchall():
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print(json.dumps({k: str(v) for k, v in x.items()}, ensure_ascii=False))
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cur.execute("SELECT id,name,parent_id,ancestors FROM sys_dept "
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"WHERE id IN ('744700334353416192','744841292483133440')")
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for x in cur.fetchall():
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print(json.dumps({k: str(v) for k, v in x.items()}, ensure_ascii=False))
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conn.close()
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print('DONE')
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