D:\Programs>D:/Programs/Python311/python.exe d:/Programs/计调中台/在线数据查询/在线数据查询.py
程序启动中...
当前版本: 1.0, 数据库中无更高版本
CURRENT_VERSION: 1.0
版本检查完成
2025-07-23 09:59:26,512 INFO sqlalchemy.engine.Engine SELECT DATABASE()
2025-07-23 09:59:26,515 INFO sqlalchemy.engine.Engine [raw sql] {}
2025-07-23 09:59:26,583 INFO sqlalchemy.engine.Engine SELECT @@sql_mode
2025-07-23 09:59:26,583 INFO sqlalchemy.engine.Engine [raw sql] {}
2025-07-23 09:59:26,618 INFO sqlalchemy.engine.Engine SELECT @@lower_case_table_names
2025-07-23 09:59:26,618 INFO sqlalchemy.engine.Engine [raw sql] {}
2025-07-23 09:59:26,687 INFO sqlalchemy.engine.Engine BEGIN (implicit)
2025-07-23 09:59:26,688 INFO sqlalchemy.engine.Engine SELECT * FROM permission WHERE IP = %(ip)s
2025-07-23 09:59:26,688 INFO sqlalchemy.engine.Engine [generated in 0.00142s] {'ip': '10.137.25.50'}
权限检查结果 - IP: 10.137.25.50, 权限值: 1, 维护权限: True
2025-07-23 09:59:26,723 INFO sqlalchemy.engine.Engine ROLLBACK
缓存目录: C:\Users\10309723\AppData\Roaming\PCBDataViewer
缓存文件: C:\Users\10309723\AppData\Roaming\PCBDataViewer\data_cache.pkl
加载配置文件失败: Expecting value: line 5 column 23 (char 64)
Debug: search_vars exists - False
Debug: search_widgets exists - False
获取计调员唯一值失败: 数据框未初始化
获取小组长唯一值失败: 数据框未初始化
获取大组长唯一值失败: 数据框未初始化
获取结存状态唯一值失败: 数据框未初始化
获取线体唯一值失败: 数据框未初始化
获取产品大类唯一值失败: 数据框未初始化
已启用维护按钮
2025-07-23 09:59:26,908 INFO sqlalchemy.engine.Engine BEGIN (implicit)
2025-07-23 09:59:26,909 INFO sqlalchemy.engine.Engine SELECT DISTINCT 计调员 FROM part_category WHERE 计调员 IS NOT NULL AND 计调员 <> ''
2025-07-23 09:59:26,910 INFO sqlalchemy.engine.Engine [generated in 0.00168s] {}
2025-07-23 09:59:26,952 INFO sqlalchemy.engine.Engine ROLLBACK
2025-07-23 09:59:27,053 INFO sqlalchemy.engine.Engine BEGIN (implicit)
2025-07-23 09:59:27,054 INFO sqlalchemy.engine.Engine DESCRIBE `bj_database`.`SELECT 工厂, 单板代码, 计调员 FROM part_category`
2025-07-23 09:59:27,055 INFO sqlalchemy.engine.Engine [raw sql] {}
2025-07-23 09:59:27,090 INFO sqlalchemy.engine.Engine SELECT 工厂, 单板代码, 计调员 FROM part_category
2025-07-23 09:59:27,090 INFO sqlalchemy.engine.Engine [raw sql] {}
2025-07-23 09:59:27,372 INFO sqlalchemy.engine.Engine ROLLBACK
从缓存加载产出计划表数据成功,数据行数: 3596, 上次更新时间: 2025-07-21 21:41:51.553931
缓存数据为空
未找到有效缓存数据,请点击'更新数据'按钮获取最新数据
===== 开始处理工厂数据,当前工厂ID: 53 =====
DataViewer实例创建完成
当前时间: 2025-07-23 09:59:31
准备进入主循环
获取到工号: 10309723
使用工厂 53 的仓库ID列表,共 8 个仓库
===== URL列表 =====
URL1 (wipDailyStatistics): https://imes.zte.com.cn/zte-mes-manufactureshare-gateway/zte-mes-manufactureshare-productionmgmtsys/wipDailyStatistics/qu
ery
URL2 (schedulingAdjustPage): https://imes.zte.com.cn/zte-mes-manufactureshare-gateway/zte-mes-manufactureshare-planschedulesys/PS/schedulingAdjustPa
ge?workOrderStatusList=%E5%B7%B2%E6%8F%90%E4%BA%A4,%E5%B7%B2%E5%BC%80%E5%B7%A5,%E6%8C%82%E8%B5%B7&workshopCode=&lineCode=&order=asc&sort=scheduleSta
rtDate&page=1&rows=30000&craftSections=%E8%83%8C%E6%9D%BF,%E9%93%A3%E6%9D%BF,DIP,%E6%B6%82%E8%A6%86,Test,SMT-A,SMT-B,%E6%89%8B%E8%B4%B4
URL3 (workOrderPriorityQueue): https://imes.zte.com.cn/zte-mes-manufactureshare-gateway/zte-mes-manufactureshare-planschedulesys/workOrderPriorityQu
eue/page
URL4 (conciseDailyQuery): https://imes.zte.com.cn/zte-mes-manufactureshare-gateway/zte-mes-manufactureshare-productionmgmtsys/conciseDaily/conciseDa
ilyQuery
URL5 (linesideWarehouseInfo): https://imes.zte.com.cn/zte-mes-manufactureshare-gateway/zte-mes-manufactureshare-productiondeliverysys/linesideWareho
useInfoCtrl/getReqHead
----- 开始请求2 (schedulingAdjustPage) -----
请求时间: 2025-07-23 09:59:31
请求URL: https://imes.zte.com.cn/zte-mes-manufactureshare-gateway/zte-mes-manufactureshare-planschedulesys/PS/schedulingAdjustPage?workOrderStatusLi
st=%E5%B7%B2%E6%8F%90%E4%BA%A4,%E5%B7%B2%E5%BC%80%E5%B7%A5,%E6%8C%82%E8%B5%B7&workshopCode=&lineCode=&order=asc&sort=scheduleStartDate&page=1&rows=3
0000&craftSections=%E8%83%8C%E6%9D%BF,%E9%93%A3%E6%9D%BF,DIP,%E6%B6%82%E8%A6%86,Test,SMT-A,SMT-B,%E6%89%8B%E8%B4%B4
----- 开始请求3 (workOrderPriorityQueue) -----请求头: {'x-factory-id': '53', 'x-emp-no': '10309723', 'x-auth-value': '523b27c3cb6e70e458ac150d9d381d
32'}
请求时间: 2025-07-23 09:59:31
请求URL: https://imes.zte.com.cn/zte-mes-manufactureshare-gateway/zte-mes-manufactureshare-planschedulesys/workOrderPriorityQueue/page
请求参数: {'releaseDateStart': '', 'releaseDateEnd': '', 'deliveryDateStart': '', 'deliveryDateEnd': '', 'page': 1, 'rows': 300}
请求头: {'x-factory-id': '53', 'x-emp-no': '10309723', 'x-auth-value': '523b27c3cb6e70e458ac150d9d381d32'}
响应状态码: 200
获取到数据行数: 250
响应状态码: 200
获取到数据行数: 1431
----- 开始请求5 (linesideWarehouseInfo) -----
请求时间: 2025-07-23 09:59:34
请求URL: https://imes.zte.com.cn/zte-mes-manufactureshare-gateway/zte-mes-manufactureshare-productiondeliverysys/linesideWarehouseInfoCtrl/getReqHea
d
请求头: {'x-factory-id': '53', 'x-emp-no': '10309723', 'x-auth-value': '523b27c3cb6e70e458ac150d9d381d32'}
获取到数据行数: 294
首条数据示例: {'id': '1947821489868275713', 'accessSystem': '102', 'billNo': 'XBRKCN20250723047419', 'billInfoType': '调拨入库', 'billTypeCode': '央
仓调拨入库(A材)', 'srcBillNo': 'IMES20250723000040', 'statusCode': '已提交', 'productionBatch': '7725582', 'fromWarehouseId': '', 'fromStockId': Non
e, 'fromLocationId': None, 'toWarehouseId': '深圳B1-3F线边仓001', 'toStockId': 'XBC_ZTSZ', 'toLocationId': None, 'createdDate': '2025-07-23 08:50:06
', 'createdBy': '10182329', 'lastUpdatedDate': '2025-07-23 08:50:06', 'lastUpdatedBy': '10182329', 'warehouseNo': None, 'warehouseName': None, 'stoc
kNo': None, 'stockName': None, 'locationNo': None, 'locationId': None, 'dateStart': None, 'dateEnd': None, 'rfFeature': '{"externalorderkey2":"IMES2
0250723000040"}', 'current': None, 'searchCount': None, 'size': None, 't': None, 'page': 1, 'total': 294, 'currentPage': None, 'pageSize': None, 'he
adId': None, 'workOrderNo': None, 'warehouseIds': None, 'attribute1': None, 'factoryId': None, 'empNo': None, 'taskNo': 'wqx2507082F03-z', 'batchTyp
e': 0, 'headSrcBill': None, 'warehouseId': None, 'itemNo': None, 'externalOrderKey2': 'IMES20250723000040'}
工厂ID 53 获取到 2549 条记录
d:\Programs\计调中台\在线数据查询\在线数据查询.py:509: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is
deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclu
de the groupings or explicitly select the grouping columns after groupby to silence this warning.
pf_final = pf_filtered.groupby('批次').apply(merge_rows).reset_index(drop=True)
----- 开始合并df1和pf_final -----
合并前df1行数: 961
合并前pf_final行数: 714
去重后df1行数: 923
去重后pf_final行数: 714
合并后df_1行数: 923
合并后重复批次检查: 0个重复批次
d:\Programs\计调中台\在线数据查询\在线数据查询.py:536: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in
a future version of pandas. Value '' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.
df_1.fillna('', inplace=True)
----- 开始读取delivery_date表数据 -----
2025-07-23 10:00:01,621 INFO sqlalchemy.engine.Engine SELECT DATABASE()
2025-07-23 10:00:01,623 INFO sqlalchemy.engine.Engine [raw sql] {}
2025-07-23 10:00:01,689 INFO sqlalchemy.engine.Engine SELECT @@sql_mode
2025-07-23 10:00:01,689 INFO sqlalchemy.engine.Engine [raw sql] {}
2025-07-23 10:00:01,723 INFO sqlalchemy.engine.Engine SELECT @@lower_case_table_names
2025-07-23 10:00:01,724 INFO sqlalchemy.engine.Engine [raw sql] {}
2025-07-23 10:00:01,792 INFO sqlalchemy.engine.Engine BEGIN (implicit)
2025-07-23 10:00:01,792 INFO sqlalchemy.engine.Engine DESCRIBE `bj_database`.`SELECT * FROM delivery_date`
2025-07-23 10:00:01,793 INFO sqlalchemy.engine.Engine [raw sql] {}
2025-07-23 10:00:01,822 INFO sqlalchemy.engine.Engine SELECT * FROM delivery_date
2025-07-23 10:00:01,828 INFO sqlalchemy.engine.Engine [raw sql] {}
2025-07-23 10:00:02,099 INFO sqlalchemy.engine.Engine ROLLBACK
获取到delivery_date表数据行数: 2795
----- 开始合并df_1和df_sql -----
合并前df_1行数: 923
合并前df_sql行数: 2608
合并后df行数: 923
新增'是否急件'字段后行数: 923
2025-07-23 10:00:02,153 INFO sqlalchemy.engine.Engine BEGIN (implicit)
2025-07-23 10:00:02,154 INFO sqlalchemy.engine.Engine DESCRIBE `bj_database`.`SELECT 工厂, 单板代码, 计调员, 周期类别 FROM part_category`
2025-07-23 10:00:02,155 INFO sqlalchemy.engine.Engine [raw sql] {}
2025-07-23 10:00:02,189 INFO sqlalchemy.engine.Engine SELECT 工厂, 单板代码, 计调员, 周期类别 FROM part_category
2025-07-23 10:00:02,190 INFO sqlalchemy.engine.Engine [raw sql] {}
2025-07-23 10:00:02,323 INFO sqlalchemy.engine.Engine ROLLBACK
2025-07-23 10:00:02,415 INFO sqlalchemy.engine.Engine BEGIN (implicit)
2025-07-23 10:00:02,416 INFO sqlalchemy.engine.Engine DESCRIBE `bj_database`.`SELECT 线体, 小组长, 大组长, 科室 FROM lineteamleader`
2025-07-23 10:00:02,416 INFO sqlalchemy.engine.Engine [raw sql] {}
2025-07-23 10:00:02,450 INFO sqlalchemy.engine.Engine SELECT 线体, 小组长, 大组长, 科室 FROM lineteamleader
2025-07-23 10:00:02,451 INFO sqlalchemy.engine.Engine [raw sql] {}
2025-07-23 10:00:02,489 INFO sqlalchemy.engine.Engine ROLLBACK
----- 计调员和科室信息 -----
计调员示例: 未分配
科室示例: nan
2025-07-23 10:00:02,723 INFO sqlalchemy.engine.Engine BEGIN (implicit)
2025-07-23 10:00:02,725 INFO sqlalchemy.engine.Engine DESCRIBE `bj_database`.`SELECT 批次, 转交时间 FROM gongxu90time`
2025-07-23 10:00:02,725 INFO sqlalchemy.engine.Engine [raw sql] {}
2025-07-23 10:00:02,759 INFO sqlalchemy.engine.Engine SELECT 批次, 转交时间 FROM gongxu90time
2025-07-23 10:00:02,761 INFO sqlalchemy.engine.Engine [raw sql] {}
2025-07-23 10:00:03,135 INFO sqlalchemy.engine.Engine ROLLBACK
成功获取url_5数据,共213条记录
成功合并url_5数据
工厂ID 53 获取到 2550 条记录
工厂ID 55 获取到 1477 条记录
Traceback (most recent call last):
File "d:\Programs\计调中台\在线数据查询\在线数据查询.py", line 5477, in <module>
main()
File "d:\Programs\计调中台\在线数据查询\在线数据查询.py", line 5467, in main
app.run()
File "d:\Programs\计调中台\在线数据查询\在线数据查询.py", line 2086, in run
self.root.mainloop()
File "D:\Programs\Python311\Lib\tkinter\__init__.py", line 1504, in mainloop
self.tk.mainloop(n)
KeyboardInterrupt
最新发布