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refactor: remove Excel migration pipeline; keep Access-only sync

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Drop the Excel (.xlsm) production-execution-card pipeline now that the
project only synchronizes Access databases to SQL Server.

- Delete excel_sync_to_sql.py, migration.py, config/field_mappings.py
- Remove Excel-only config symbols (EXCEL_CONFIGS, MIGRATION_TASKS,
  EXECUTION_CARD_FIELDS, CONTRACT_DATA_*, CACHE_DIR, TEMP_DIR,
  EXCEL_SYNC_* settings) from the config package
- Drop now-unused deps from requirements.txt: pandas, sqlalchemy, openpyxl
- Update .env.example, CLAUDE.md, and the uptime_kuma_utils docstring
- Fix the tube-bending workshop Access table mapping in SYNC_MAPPING
  (source table renamed; old name no longer exists)

The three Excel-sourced tables in warehouseOutbound (executionCardData,
contractData, customerProductType) and their data are left untouched.

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Misaka_Company
2026-06-17 13:09:36 +08:00
parent f9b2d3b4da
commit f6580b4994
11 changed files with 231 additions and 944 deletions
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152
config/file_sources.py
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@@ -313,160 +313,10 @@ SYNC_MAPPING = {
}
},
r"\\192.168.110.114\生产进度表\2026年数据\弯管车间.accdb": {
"执行卡下发记录": {
"烘洗": {
"target_schema": "tubeBending",
"target_table": "烘洗_YEAR2026",
"pk_col": "ID"
}
}
}
# ================= Excel 文件配置 =================
# 从原 update_config.py 抽取
EXCEL_CONFIGS = [
{
"file_path": r"\\192.168.110.113\生产执行卡\往年生产执行卡\生产执行卡2022.xlsm",
"sheet_names": ["Sheet1"],
"contract_year": "2022",
"field_mapping": {
"产品型号": "选型型号",
"备注": "备注1",
"下单日期": "接单日期"
}
},
{
"file_path": r"\\192.168.110.113\生产执行卡\往年生产执行卡\生产执行卡2023（1-5月）.xlsm",
"sheet_names": ["Sheet1"],
"contract_year": "2023",
"field_mapping": {
"产品型号": "选型型号",
"备注": "备注1",
"下单日期": "接单日期"
}
},
{
"file_path": r"\\192.168.110.113\生产执行卡\往年生产执行卡\生产执行卡2023(6月-.xlsm",
"sheet_names": ["Sheet1"],
"contract_year": "2023",
"field_mapping": {
"产品型号": "选型型号",
"备注": "备注1",
"下单日期": "接单日期"
}
},
{
"file_path": r"\\192.168.110.113\生产执行卡\往年生产执行卡\生产执行卡2024 6月.xlsm",
"sheet_names": ["重庆数据","北京数据"],
"contract_year": "2024",
"field_mapping": {
"产品型号": "选型型号",
"备注": "备注1",
"下单日期": "接单日期"
}
},
{
"file_path": r"\\192.168.110.113\生产执行卡\往年生产执行卡\生产执行卡2024.xlsm",
"sheet_names": ["重庆数据","北京数据"],
"contract_year": "2024",
"field_mapping": {
"产品型号": "选型型号",
"备注": "备注1",
"下单日期": "接单日期"
}
},
{
"file_path": r"\\192.168.110.113\生产执行卡\生产执行卡2025年.xlsm",
"sheet_names": ["重庆数据","北京数据"],
"contract_year": "2025",
"field_mapping": {
"产品型号": "选型型号",
"备注": "备注1",
"下单日期": "接单日期"
}
},
{
"file_path": r"\\192.168.110.113\生产执行卡\生产执行卡2026年.xlsm",
"sheet_names": ["重庆数据","北京数据"],
"contract_year": "2026",
"field_mapping": {
"产品型号": "选型型号",
"备注": "备注1",
"下单日期": "接单日期"
}
}
]
# ================= 迁移任务配置 =================
# 从原 migration.py 抽取
MIGRATION_TASKS = [
{
"file_path": r"\\192.168.110.113\生产执行卡\往年生产执行卡\生产执行卡2022.xlsm",
"year": 2022,
"sheet_names": ["Sheet1"],
"mapping": {
"车间号": "车间号",
"工令号": "工令号",
"客户型号": "客户型号"
}
},
{
"file_path": r"\\192.168.110.113\生产执行卡\往年生产执行卡\生产执行卡2023（1-5月）.xlsm",
"year": 2023,
"sheet_names": ["Sheet1"],
"mapping": {
"车间号": "车间号",
"工令号": "工令号",
"客户型号": "客户型号"
}
},
{
"file_path": r"\\192.168.110.113\生产执行卡\往年生产执行卡\生产执行卡2023(6月-.xlsm",
"year": 2023,
"sheet_names": ["Sheet1"],
"mapping": {
"车间号": "车间号",
"工令号": "工令号",
"客户型号": "客户型号"
}
},
{
"file_path": r"\\192.168.110.113\生产执行卡\往年生产执行卡\生产执行卡2024 6月.xlsm",
"year": 2024,
"sheet_names": ["重庆数据","北京数据"],
"mapping": {
"车间号": "车间号",
"工令号": "工令号",
"客户型号": "客户型号"
}
},
{
"file_path": r"\\192.168.110.113\生产执行卡\往年生产执行卡\生产执行卡2024.xlsm",
"year": 2024,
"sheet_names": ["重庆数据","北京数据"],
"mapping": {
"车间号": "车间号",
"工令号": "工令号",
"客户型号": "客户型号"
}
},
{
"file_path": r"\\192.168.110.113\生产执行卡\生产执行卡2025年.xlsm",
"year": 2025,
"sheet_names": ["重庆数据","北京数据"],
"mapping": {
"车间号": "车间号",
"工令号": "工令号",
"客户型号": "客户型号"
}
},
{
"file_path": r"\\192.168.110.113\生产执行卡\生产执行卡2026年.xlsm",
"year": 2026,
"sheet_names": ["重庆数据","北京数据"],
"mapping": {
"车间号": "车间号",
"工令号": "工令号",
"客户型号": "客户型号"
}
}
]