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24 lines
1.3 KiB
24 lines
1.3 KiB
# -*- coding: utf-8 -*-
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"""diag-collab.py — seed 中 collab 样例期望态 + 部门名快照核对"""
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import io, sys, json, pymysql
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sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
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ids = json.load(open('.scratch/customer-e2e/seed-ids.json', encoding='utf-8'))
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print('customer keys:', list(ids.get('customers', {}).keys()))
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for k, v in ids.get('customers', {}).items():
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if str(v.get('id')) == '750844482391375872' or 'collab' in k or '协同' in str(v.get('name', '')):
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print(f'seed[{k}] =', json.dumps(v, ensure_ascii=False))
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conn = pymysql.connect(host='8.129.84.155', port=3306, user='root', password='Itc@123456',
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database='crm', charset='utf8mb4', autocommit=True,
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connect_timeout=10, cursorclass=pymysql.cursors.DictCursor)
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with conn.cursor() as cur:
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cur.execute("SELECT id, dept_name, parent_id, ancestors FROM sys_dept "
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"WHERE id IN ('744841292483133440','744841292348915712')")
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for r in cur.fetchall():
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print('dept:', r['id'], r['dept_name'], 'parent=', r['parent_id'])
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cur.execute("SELECT id, dept_name FROM sys_dept WHERE ancestors LIKE %s LIMIT 5",
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('%744841292348915712%',))
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print('本部子树样例 5:')
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for r in cur.fetchall():
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print(' ', r['id'], r['dept_name'])
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