143 lines
6.5 KiB
Python
143 lines
6.5 KiB
Python
#!/usr/bin/env python3
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"""
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批量更新飞书电子表格：回填用户ID和匹配状态
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用于 2DOxEI 表 R915-R992 行
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"""
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import json
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import subprocess
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import sys
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# 78个手机号（按表格行顺序 915-992）
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PHONES = [
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'18898596908', '13104122113', '18616818587', '18600641856', '18527822530',
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'15301808320', '15921183656', '18969141986', '18853077186', '19879837192',
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'15013730773', '18240307314', '15133168361', '18607715299', '18640248566',
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'15229999262', '18615767595', '15880070471', '15210946014', '13416197660',
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'18030731125', '13372561305', '13438029626', '13426271919', '13380241801',
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'13331090268', '13941957202', '13668236095', '18666339866', '18193473383',
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'18719069856', '15092617699', '15602091300', '18906300189', '18823116345',
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'16675181845', '15805920790', '13631576638', '13825629898', '18689550023',
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'13858852527', '17701557793', '18800105821', '18243588666', '15070812805',
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'15906585627', '13818184885', '18609909747', '18501055123', '18781333078',
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'13510511993', '13763607518', '19131773001', '13429170125', '13548532992',
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'18273336778', '15004066188', '15386183750', '15002087823', '15622866383',
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'15236831122', '13980065537', '17351768736', '13752368975', '18988791586',
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'13465563287', '18268989827', '18358369704', '13370181982', '15062199752',
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'13009161168', '17701717015', '13969392995', '13560010506', '18042928605',
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'13603503266', '15776824932', '18131135363',
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]
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# 数据库查询结果: 脱敏手机号 -> [account_id列表]
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# rn=1 作为首选（最大account_id）
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MATCHES = {}
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raw_matches = [
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('188****6908', 26655), ('131****2113', 27442), ('186****8587', 27410),
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('186****1856', 27213), ('185****2530', 27227), ('153****8320', 27417),
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('159****3656', 27316), ('189****1986', 27591), ('188****7186', 27248),
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('198****7192', 27686), ('150****0773', 27464), ('182****7314', 27429),
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('151****8361', 27432), ('186****5299', 27017), ('186****8566', 27630),
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('152****9262', 27483), ('186****7595', 27467), ('158****0471', 27693),
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('152****6014', 27490), ('134****7660', 27619), ('180****1125', 27618),
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('133****1305', 26920), ('134****9626', 27583), ('134****1919', 27755),
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('133****1801', 27633), ('133****0268', 27983), ('139****7202', 27499),
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('136****6095', 27598), ('186****9866', 27745), ('181****3383', 27576),
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('187****9856', 27585), ('150****7699', 28052), ('156****1300', 27672),
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('189****0189', 27292), ('188****6345', 27836), ('166****1845', 27955),
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('158****0790', 27951), ('136****6638', 5149), ('138****9898', 3612),
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('186****0023', 27674), ('138****2527', 4882), ('177****7793', 27890),
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('188****5821', 27761), ('182****8666', 27812), ('150****2805', 27813),
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('159****5627', 27882), ('138****4885', 27911), ('186****9747', 27809),
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('185****5123', 27776), ('187****3078', 27738), ('135****1993', 27806),
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('137****7518', 27770), ('191****3001', 27638), ('134****0125', 27794),
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('135****2992', 27750), ('182****6778', 27728), ('150****6188', 27803),
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('153****3750', 27790), ('150****7823', 11807), ('156****6383', 28018),
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('152****1122', 27869), ('139****5537', 27947), ('173****8736', 28070),
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('137****8975', 27916), ('189****1586', 27941), ('134****3287', 28079),
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('182****9827', 27860), ('183****9704', 27849), ('133****1982', 4923),
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('150****9752', 28071), ('130****1168', 27936), ('177****7015', 27946),
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('139****2995', 27889), ('135****0506', 28394), ('180****8605', 28011),
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('136****3266', 27965), ('157****4932', 28088), ('181****5363', 27979),
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]
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for tel_masked, acc_id in raw_matches:
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MATCHES[tel_masked] = acc_id # rn=1 优先，后出现的会覆盖
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def mask_phone(phone):
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"""脱敏手机号: 前3位 + **** + 后4位"""
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return f"{phone[:3]}****{phone[-4:]}"
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def get_tat():
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"""获取 Tenant Access Token"""
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import json
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config = json.load(open('/root/.openclaw/credentials/xiaoxi/config.json'))
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app = config['apps'][0]
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import urllib.request
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data = json.dumps({"app_id": app['appId'], "app_secret": app['appSecret']}).encode()
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req = urllib.request.Request(
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'https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal',
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data=data,
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headers={'Content-Type': 'application/json; charset=utf-8'}
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)
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resp = json.loads(urllib.request.urlopen(req).read())
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return resp['tenant_access_token']
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def update_sheet_range(tat, token, sheet_id, range_str, values):
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"""批量更新电子表格范围"""
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import urllib.request
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url = f'https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{token}/values'
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body = json.dumps({
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"valueRange": {
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"range": f"{sheet_id}!{range_str}",
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"values": values
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}
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}).encode()
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req = urllib.request.Request(url, data=body, method='PUT')
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req.add_header('Authorization', f'Bearer {tat}')
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req.add_header('Content-Type', 'application/json; charset=utf-8')
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resp = json.loads(urllib.request.urlopen(req).read())
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return resp
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if __name__ == '__main__':
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# 构建回填数据
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f_values = [] # F列: account_id
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g_values = [] # G列: 回填状态
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matched_count = 0
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multi_count = 0
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for phone in PHONES:
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masked = mask_phone(phone)
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acc_id = MATCHES.get(masked)
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if acc_id:
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f_values.append([str(acc_id)])
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g_values.append(["已匹配"])
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matched_count += 1
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else:
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f_values.append(["未匹配"])
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g_values.append(["未匹配"])
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print(f"Total: {len(PHONES)}, Matched: {matched_count}, Unmatched: {len(PHONES) - matched_count}")
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# 获取 token
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tat = get_tat()
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token = 'RFIJsXT8FhGHhctY4RwczcOfnac'
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sheet_id = '2DOxEI'
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# 更新 F 列 (F915:F992) - 回填用户ID
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resp_f = update_sheet_range(tat, token, sheet_id, 'F915:F992', f_values)
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print(f"Update F column: code={resp_f.get('code')}, msg={resp_f.get('msg')}")
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# 更新 G 列 (G915:G992) - 回填状态
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resp_g = update_sheet_range(tat, token, sheet_id, 'G915:G992', g_values)
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print(f"Update G column: code={resp_g.get('code')}, msg={resp_g.get('msg')}")
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# 更新 E 列 (E915:E992) - 请求状态改为"已返回"
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e_values = [["已返回"] for _ in range(len(PHONES))]
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resp_e = update_sheet_range(tat, token, sheet_id, 'E915:E992', e_values)
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print(f"Update E column: code={resp_e.get('code')}, msg={resp_e.get('msg')}")
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if resp_f.get('code') == 0 and resp_g.get('code') == 0:
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print("\n✅ 所有78条记录已成功回填！")
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else:
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print("\n⚠️ 部分更新可能失败，请检查。")
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