Commit Graph

8 Commits

Author SHA1 Message Date
Misaka_Company
53a1e33e45 feat: add SQL Server database persistence for extracted material plan data
Add optional database persistence feature that automatically saves extracted
discrete material plan data to SQL Server. Users can enable this feature in
the settings tab.

Changes:
- Add enable_db_persistence flag to ExtractionConfig (default: disabled)
- Create DiscreteMaterialPlanDAO for database operations with REPLACE pattern
- Update progress tracking to include database persistence stage (90-100%)
- Add database persistence checkbox in settings UI
- Remove verbose logging checkbox from data extraction UI (config-only now)
- Update extraction workflow to save merged DataFrame to database

Progress weights adjusted:
- download: 65% -> 60%
- database: 10% (new stage)
- Other stages adjusted accordingly

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-06 12:21:58 +08:00
Misaka_Company
2ca53f6a55 style: normalize code formatting across the codebase
- Standardize quote style (single to double quotes)
- Improve code formatting consistency
- Apply formatting to utilities, GUI components, and tools
- Update imports and docstrings for consistency

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 14:56:35 +08:00
Misaka_Company
13bc4520bf refactor: centralize configuration management with type-safe schema
Major changes:
- Add dataclass-based configuration schema with validation (config/schema.py)
- Create centralized config loader and default values (config/defaults.py, config/loader.py)
- Remove duplicate database_config.py, merge into unified structure
- Consolidate browser settings into ERP config
- Add batch_size parameter support to extractor

Bug fixes:
- Fix settings save error by updating config paths (browser.* → erp.*)
- Fix batch_size not being applied in data extraction

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 14:27:28 +08:00
Misaka_Company
c9e68a2bf0 fix: handle large dataset queries and type conversion
- Add batch processing to production order query to handle SQL Server's 2100 parameter limit
- Fix material name column index from Q to R column
- Add string type conversion to prevent TypeError in material matching

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 11:28:33 +08:00
Misaka_Company
c6b97443e5 feat: add material status validation tool
Add MaterialStatusValidator tool to check material status and match materials to be deleted:
- Add get_all_materials_to_delete() function to fetch all materials from database
- Add utils/material_status_validator.py with MaterialStatusValidator class
- Add validate_material_status.py script to run the validation
- Delete obsolete materialDelete.py file

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 10:11:13 +08:00
Misaka_Company
c176063bfa feat: add material matching logic for discrete material plan cleaner
- Add db/materials_to_delete.py for querying materials to delete by manager
- Add manager_name parameter to DiscreteMaterialPlanCleaner
- Implement material keyword matching logic in process_order
- Update file paths from orderID.txt to ProductionID.txt

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-23 16:50:14 +08:00
Misaka_Company
902ff9b831 refactor: use database for production order queries
- Add db/production_order_query.py component for querying production orders
- Replace file-based orderID.txt with database-driven approach
- Read ProductionID.txt (总排号) and query [26年压力表合同数据] table
- Update both extraction and cleaning scripts to use new component
- Change parameter: order_id_file → production_id_file

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-23 16:06:40 +08:00
Misaka_Company
bbf84b7f8c docs: update project structure and add database documentation
- Add tests/ directory to .gitignore
- Document database connectivity with pyodbc and config
- Add project structure and file organization guidelines
- Update installation steps to use requirements.txt
- Document new dependencies: pandas, openpyxl, pyodbc
2026-01-23 15:00:55 +08:00