feat: support both productionID and order number input formats
- Add identify_input_type() function to detect input format: - production_id: 2-digit + 1-letter + serial (e.g., 25A1, 25A12345) - order_number: SC + 14 digits (e.g., SC70202602120120) - Refactor MaterialStatusValidator to intelligently handle both input types in validate_from_database() and validate_from_database_enhanced() - Update log messages to reflect the new dual-input capability Co-Authored-By: Claude (glm-5) <noreply@anthropic.com>
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@@ -5,9 +5,14 @@
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支持两种数据源:
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1. Excel 文件(原有方式)
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2. 数据库驱动(新增方式)
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支持两种输入格式:
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1. productionID(总排号): 2位数字 + 1位字母 + 流水号 (如 25A1, 25A12345)
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2. 生产订单号: SC + 14位数字 (如 SC00000000000001)
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"""
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import os
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import re
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import pandas as pd
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from typing import List, Dict, Any, Optional, Set
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from dataclasses import dataclass
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@@ -221,6 +226,31 @@ class MaterialStatusValidator:
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# ==================== DATABASE-DRIVEN VALIDATION ====================
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@staticmethod
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def _identify_input_type(input_str: str) -> str:
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"""
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识别输入字符串的类型
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Args:
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input_str: 输入字符串
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Returns:
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"production_id": 总排号格式 (2位数字 + 1位字母 + 流水号)
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"order_number": 生产订单号格式 (SC + 14位数字)
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"unknown": 无法识别
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"""
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input_str = input_str.strip()
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# 生产订单号: SC + 14位数字
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if re.match(r"^SC\d{14}$", input_str):
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return "order_number"
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# 总排号: 2位数字 + 1位字母 + 流水号(1-6位数字)
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if re.match(r"^\d{2}[A-Za-z]\d{1,6}$", input_str):
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return "production_id"
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return "unknown"
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def _read_production_ids(self, production_id_file: str) -> List[str]:
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"""
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读取 ProductionID.txt 文件
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@@ -229,34 +259,57 @@ class MaterialStatusValidator:
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production_id_file: ProductionID.txt 文件路径
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Returns:
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List[str]: 总排号列表
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List[str]: 输入项列表(可能是总排号或生产订单号)
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"""
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with open(production_id_file, 'r', encoding='utf-8') as f:
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production_ids = [line.strip() for line in f if line.strip()]
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return production_ids
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items = [line.strip() for line in f if line.strip()]
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return items
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def _get_source_numbers_from_production_ids(
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self, production_ids: List[str]
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def _get_source_numbers_from_inputs(
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self, inputs: List[str]
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) -> List[str]:
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"""
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通过 ProductionID 查询获取 SourceNumber 列表
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根据输入列表智能获取 SourceNumber(生产订单号)列表
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查询链路:
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ProductionID (总排号) -> productionContractData.26年压力表合同数据.生产订单号
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对于 productionID(总排号):查询数据库获取生产订单号
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对于生产订单号:直接使用
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Args:
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production_ids: 总排号列表
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inputs: 输入项列表(可能是总排号或生产订单号)
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Returns:
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List[str]: 生产订单号列表
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"""
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self._print(f"[INFO] 正在查询 {len(production_ids)} 个总排号对应的生产订单号...")
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production_ids = [] # 需要查询数据库的
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order_numbers = [] # 直接使用的
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contract_dao = ProductionContractDataDAO()
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source_numbers = contract_dao.get_source_numbers_by_总排号(production_ids)
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for item in inputs:
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input_type = self._identify_input_type(item)
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if input_type == "order_number":
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order_numbers.append(item)
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elif input_type == "production_id":
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production_ids.append(item)
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self._print(f"[INFO] 找到 {len(source_numbers)} 个唯一的生产订单号")
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return source_numbers
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# 统计输入类型
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if production_ids:
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self._print(f"[INFO] 识别到 {len(production_ids)} 个总排号")
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if order_numbers:
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self._print(f"[INFO] 识别到 {len(order_numbers)} 个生产订单号")
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# 查询数据库获取总排号对应的生产订单号
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if production_ids:
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self._print(f"[INFO] 正在查询 {len(production_ids)} 个总排号对应的生产订单号...")
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contract_dao = ProductionContractDataDAO()
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db_order_numbers = contract_dao.get_source_numbers_by_总排号(production_ids)
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self._print(f"[INFO] 从数据库获取到 {len(db_order_numbers)} 个生产订单号")
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order_numbers.extend(db_order_numbers)
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# 去重
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unique_order_numbers = list(dict.fromkeys(order_numbers))
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if len(unique_order_numbers) != len(order_numbers):
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self._print(f"[INFO] 去重后得到 {len(unique_order_numbers)} 个唯一生产订单号")
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return unique_order_numbers
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def _get_material_names_from_db(
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self, source_numbers: List[str] = None
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@@ -292,17 +345,21 @@ class MaterialStatusValidator:
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支持两种模式:
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1. 全表校验 (full_table=True): 查询整个 DiscreteMaterialPlanData 表
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2. ProductionID 过滤校验 (production_id_file 指定): 基于 ProductionID.txt 文件过滤
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2. 输入过滤校验 (production_id_file 指定): 基于输入文件过滤
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- 支持总排号格式 (如 25A1, 25A12345)
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- 支持生产订单号格式 (如 SC00000000000001)
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- 支持混合输入
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查询链路(模式2):
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ProductionID.txt (总排号)
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-> productionContractData.26年压力表合同数据.生产订单号 (SourceNumber)
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输入文件 (总排号或生产订单号)
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-> 总排号需查询: productionContractData.26年压力表合同数据.生产订单号 (SourceNumber)
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-> 生产订单号直接使用
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-> DiscreteMaterialPlanData.SourceNumber
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-> DiscreteMaterialPlanData.MaterialName
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-> 对比 MaterialsTypeToBeDeleted.MaterialName
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Args:
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production_id_file: ProductionID.txt 路径(模式2)
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production_id_file: 输入文件路径(模式2)
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full_table: 是否全表校验(模式1)
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output_file: 输出文件路径
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@@ -322,15 +379,15 @@ class MaterialStatusValidator:
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self._print("[INFO] 查询 DiscreteMaterialPlanData 表中的所有材料...")
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material_names = self._get_material_names_from_db(None)
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elif production_id_file:
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self._print("\n模式: ProductionID 过滤校验")
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self._print(f"[INFO] 读取 ProductionID 文件: {production_id_file}")
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self._print("\n模式: 输入过滤校验")
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self._print(f"[INFO] 读取输入文件: {production_id_file}")
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# 1. 读取 ProductionID.txt
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production_ids = self._read_production_ids(production_id_file)
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self._print(f"[INFO] 读取到 {len(production_ids)} 个总排号")
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# 1. 读取输入文件
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inputs = self._read_production_ids(production_id_file)
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self._print(f"[INFO] 读取到 {len(inputs)} 个输入项")
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# 2. 查询获取 SourceNumbers
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source_numbers = self._get_source_numbers_from_production_ids(production_ids)
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# 2. 智能识别并获取 SourceNumbers
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source_numbers = self._get_source_numbers_from_inputs(inputs)
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# 3. 获取材料名称
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material_names = self._get_material_names_from_db(source_numbers)
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@@ -428,10 +485,17 @@ class MaterialStatusValidator:
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"""
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Enhanced database validation with complete record information.
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支持两种模式:
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1. 全表校验 (full_table=True): 查询整个 DiscreteMaterialPlanData 表
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2. 输入过滤校验 (production_id_file 指定): 基于输入文件过滤
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- 支持总排号格式 (如 25A1, 25A12345)
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- 支持生产订单号格式 (如 SC00000000000001)
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- 支持混合输入
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Args:
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production_id_file: ProductionID.txt path (for filtered mode)
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full_table: Whether to query full table (for full table mode)
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output_file: Output Excel file path
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production_id_file: 输入文件路径(模式2)
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full_table: 是否全表校验(模式1)
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output_file: 输出 Excel 文件路径
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Returns:
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Tuple of (output_file_path, List[MaterialValidationResult])
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@@ -459,15 +523,23 @@ class MaterialStatusValidator:
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if dedup_count > 0:
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self._print(f"[INFO] 基于 MaterialCode 去重:移除了 {dedup_count} 条重复记录")
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elif production_id_file:
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self._print("\n模式: ProductionID 过滤校验")
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self._print(f"[INFO] 读取 ProductionID 文件: {production_id_file}")
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self._print("\n模式: 输入过滤校验")
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self._print(f"[INFO] 读取输入文件: {production_id_file}")
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# 1. Read ProductionID.txt
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production_ids = self._read_production_ids(production_id_file)
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self._print(f"[INFO] 读取到 {len(production_ids)} 个总排号")
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# 1. Read input file
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inputs = self._read_production_ids(production_id_file)
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self._print(f"[INFO] 读取到 {len(inputs)} 个输入项")
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# 2. Query SourceNumbers
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source_numbers = self._get_source_numbers_from_production_ids(production_ids)
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# 2. Smart identify and get SourceNumbers
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source_numbers = self._get_source_numbers_from_inputs(inputs)
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if not source_numbers:
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self._print("\n[ERROR] 校验失败:未找到有效的生产订单号")
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self._print("[ERROR] 可能原因:")
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self._print("[ERROR] 1. 总排号在数据库中不存在对应的生产订单号")
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self._print("[ERROR] 2. 输入的生产订单号格式不正确")
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self._print("[ERROR] 3. 请检查输入文件内容")
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return output_file, []
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# 3. Get complete material records with deduplication
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self._print(f"[INFO] 查询 {len(source_numbers)} 个生产订单对应的完整物料记录(启用 MaterialCode 去重)...")
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@@ -491,7 +563,7 @@ class MaterialStatusValidator:
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self._print("[ERROR] 1. 这些生产订单的物料数据还没有提取到数据库")
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self._print("[ERROR] 2. 请先运行【正式备料计划数据提取】工具")
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self._print("[ERROR] 3. 提取时勾选【持久化到数据库】选项")
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self._print("[ERROR] 4. 将这 10 个 ProductionID 的物料数据保存到 DiscreteMaterialPlanData 表")
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self._print(f"[ERROR] 4. 将这些输入项的物料数据保存到 DiscreteMaterialPlanData 表")
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else:
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raise ValueError("必须指定 full_table=True 或提供 production_id_file 参数")
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