Files
playwrite/config/schema.py
Misaka_Company 2096a51f55 feat: add database-driven material validation with multi-mode support
This commit enhances the material validation functionality to support
database-driven workflows alongside the existing Excel-based approach.

## New Features

### DAO Layer
- Add ProductionContractDataDAO for querying production contract data
- Add MaterialsToBeDeletedDAO with full CRUD operations
- Enhance DiscreteMaterialPlanDAO with query_all(), query_by_source_numbers(),
  and get_unique_material_names() methods

### Validation Modes
Support for 4 validation modes in MaterialValidationTab:
1. Database Full - Query all materials from DiscreteMaterialPlanData
2. Database Filtered - Query by ProductionID.txt file
3. Excel Existing - Validate from existing Excel file
4. Excel Full - Complete workflow with ERP extraction

### Configuration
- Add ValidationConfig dataclass with data_source, batch_size, match_mode,
  enable_crud_operations, and default_manager fields
- Update ConfigLoader to support validation configuration
- Add validation settings section in SettingsTab GUI

### Query Chain
Implementation of full query chain:
ProductionID.txt (总排号) → productionContractData (生产订单号) →
DiscreteMaterialPlanData (SourceNumber) → MaterialName →
MaterialsToBeDeleted comparison

## Backward Compatibility
All existing Excel-based validation methods remain unchanged, ensuring
no breaking changes for existing workflows.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-06 13:08:31 +08:00

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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
配置结构定义
使用 dataclass 定义所有配置项的结构和类型。
"""
from dataclasses import dataclass, field
from typing import Optional
from pathlib import Path
@dataclass
class ERPConfig:
"""ERP 系统配置"""
url: str
username: str
password: str
headless: bool = True
ignore_https_errors: bool = True
auto_close_browser: bool = True
def validate(self) -> list[str]:
"""验证配置,返回错误列表"""
errors = []
if not self.url:
errors.append("ERP URL 不能为空")
if not self.username:
errors.append("ERP 用户名不能为空")
if not self.password:
errors.append("ERP 密码不能为空")
return errors
@dataclass
class DatabaseConfig:
"""数据库配置"""
server: str
database: str
username: str
password: str
driver: str = "ODBC Driver 18 for SQL Server"
trust_server_certificate: str = "yes"
def validate(self) -> list[str]:
"""验证配置,返回错误列表"""
errors = []
if not self.server:
errors.append("数据库服务器地址不能为空")
if not self.database:
errors.append("数据库名称不能为空")
if not self.username:
errors.append("数据库用户名不能为空")
if not self.password:
errors.append("数据库密码不能为空")
return errors
@dataclass
class PathConfig:
"""文件路径配置"""
data_dir: str
production_id_file: str
default_output: str = "离散备料计划维护_合并.xlsx"
validation_output: str = "物料状态校验结果.xlsx"
def validate(self) -> list[str]:
"""验证配置,返回错误列表"""
errors = []
if not self.data_dir:
errors.append("数据目录路径不能为空")
if not self.production_id_file:
errors.append("ProductionID 文件路径不能为空")
return errors
@dataclass
class ExtractionConfig:
"""数据提取配置"""
batch_size: int = 100
verbose: bool = True
auto_convert: bool = True
merge_batches: bool = True
enable_db_persistence: bool = False
def validate(self) -> list[str]:
"""验证配置,返回错误列表"""
errors = []
if self.batch_size <= 0:
errors.append("批次大小必须大于 0")
if self.batch_size > 1000:
errors.append("批次大小不应超过 1000")
return errors
@dataclass
class ValidationConfig:
"""物料校验配置"""
data_source: str = "database_full"
use_database: bool = True
batch_size: int = 2000
enable_crud_operations: bool = False
default_manager: str = ""
match_mode: str = "substring"
def validate(self) -> list[str]:
"""验证配置,返回错误列表"""
errors = []
valid_sources = [
"database_full",
"database_filtered",
"excel_existing",
"excel_full"
]
if self.data_source not in valid_sources:
errors.append(
f"无效的数据源: {self.data_source}"
f"有效选项: {', '.join(valid_sources)}"
)
if self.batch_size <= 0:
errors.append("批次大小必须大于 0")
if self.batch_size > 2000:
errors.append("批次大小不应超过 2000SQL Server 参数限制)")
valid_match_modes = ["substring", "exact"]
if self.match_mode not in valid_match_modes:
errors.append(
f"无效的匹配模式: {self.match_mode}"
f"有效选项: {', '.join(valid_match_modes)}"
)
return errors
@dataclass
class AppConfig:
"""应用总配置"""
erp: ERPConfig
database: DatabaseConfig
paths: PathConfig
extraction: ExtractionConfig
validation: ValidationConfig
def validate(self) -> list[str]:
"""验证所有配置,返回错误列表"""
errors = []
errors.extend(self.erp.validate())
errors.extend(self.database.validate())
errors.extend(self.paths.validate())
errors.extend(self.extraction.validate())
errors.extend(self.validation.validate())
return errors
def to_dict(self) -> dict:
"""转换为字典格式(用于保存到 JSON"""
return {
"erp": {
"url": self.erp.url,
"username": self.erp.username,
"password": self.erp.password,
"headless": self.erp.headless,
"ignore_https_errors": self.erp.ignore_https_errors,
"auto_close_browser": self.erp.auto_close_browser,
},
"database": {
"server": self.database.server,
"database": self.database.database,
"username": self.database.username,
"password": self.database.password,
"driver": self.database.driver,
"trust_server_certificate": self.database.trust_server_certificate,
},
"paths": {
"data_dir": self.paths.data_dir,
"production_id_file": self.paths.production_id_file,
"default_output": self.paths.default_output,
"validation_output": self.paths.validation_output,
},
"extraction": {
"batch_size": self.extraction.batch_size,
"verbose": self.extraction.verbose,
"auto_convert": self.extraction.auto_convert,
"merge_batches": self.extraction.merge_batches,
"enable_db_persistence": self.extraction.enable_db_persistence,
},
"validation": {
"data_source": self.validation.data_source,
"use_database": self.validation.use_database,
"batch_size": self.validation.batch_size,
"enable_crud_operations": self.validation.enable_crud_operations,
"default_manager": self.validation.default_manager,
"match_mode": self.validation.match_mode,
},
}