95057dedf5
- 预览阶段增加 Excel 内部重复检测 + 空规格去重 + 字段长度校验 - 执行阶段支持 skip 模式（跳过重复行继续导入）+ update 模式（覆盖更新已有记录） - update 模式空值保护：Excel 空单元格不覆盖已有数据 - DB commit 异常防御：字段超长等异常优雅返回而非 500 - 去重规则改为仅依据 spec_model（货号唯一键） - BOM 导入物料查找同步改为 spec-only
544 lines
22 KiB
Python
544 lines
22 KiB
Python
"""
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Excel/CSV 批量导入服务
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支持: 基础信息(MaterialBase) / BOM表(BomTable)
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架构: 模板下载 → 预览验证(Dry-Run) → 确认执行
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"""
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import io
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import json
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from datetime import datetime
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from flask import current_app
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from app.extensions import db
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from app.models.base import MaterialBase
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from app.models.bom import BomTable
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# ── 模板定义 ──
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MATERIAL_TEMPLATE_HEADERS = [
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"所属公司(company_name)", "名称(name)*", "专业名称(common_name)",
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"类别(category)*", "类型(material_type)*",
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"规格型号(spec_model)*", "计量单位(unit)*",
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"参考价格(reference_price)", "强制质检(is_inspection_required)",
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"是否启用(is_enabled)"
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]
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MATERIAL_TEMPLATE_INSTRUCTIONS = [
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"请勿修改表头行", "标记*的列为必填",
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"类别格式: IRIS/半成品/无人机U (用/分隔层级)",
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"强制质检/是否启用: 是/Y/True/1 或 否/N/False/0, 默认否/是",
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]
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BOM_TEMPLATE_HEADERS = [
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"BOM编号(bom_no)*", "版本(version)", "父件名称(parent_name)*",
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"父件规格(parent_spec)", "子件名称(child_name)*",
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"子件规格(child_spec)", "用量(dosage)*", "损耗率%(loss_rate)",
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"备注(remark)", "是否启用(is_enabled)"
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]
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MATERIAL_EXAMPLE_ROWS = [
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["IRIS", "LICA-3000", "激光雷达", "IRIS/成品/LICA", "传感器", "LICA-3000/A", "个", 15000, "否", "是"],
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["IRIS", "碳纤维板材", "Carbon Plate", "IRIS/半成品/材料", "原材料", "CF-200/3K", "张", 800, "是", "是"],
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["IRIS", "M3内六角螺丝", "", "IRIS/采购件/紧固件", "标准件", "M3x12", "颗", 0.5, "否", "是"],
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]
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BOM_EXAMPLE_ROWS = [
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["LICA-3000", "V1.0", "LICA-3000", "LICA-3000/A", "M3内六角螺丝", "M3x12", 8, 0, "固定外壳", "是"],
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["", "", "", "", "碳纤维板材", "CF-200/3K", 2, 0, "机身框架", "是"],
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["", "", "", "", "光学镜片", "OG-50", 1, 0, "激光发射", "是"],
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["UAV-X1", "V1.0", "无人机X1", "UAV-X1/Pro", "LICA-3000", "LICA-3000/A", 1, 0, "", "是"],
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["", "", "", "", "GPS模块", "GPS-M9N", 1, 0, "导航", "是"],
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]
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BOM_TEMPLATE_INSTRUCTIONS = [
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"请勿修改表头行", "标记*的列为必填",
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"同一个父件的多个子件,除第一行外,父件相关信息(BOM编号/版本/名称/规格)可留空,系统自动向下填充",
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"父件/子件名称必须与系统中已存在的基础信息完全一致",
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"版本默认 V1.0; 用量为正整数; 损耗率默认为0",
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"同一BOM编号+版本下,父子件组合必须唯一",
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]
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def parse_boolean(val) -> bool:
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"""稳健布尔解析：是/Y/True/1 → True, 否/N/False/0/空 → False"""
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if val is None:
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return False
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s = str(val).strip().lower()
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return s in ('是', 'y', 'yes', 'true', '1', 't')
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def generate_template(import_type: str) -> io.BytesIO:
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"""生成 Excel 模板文件"""
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from openpyxl import Workbook
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from openpyxl.styles import Font, PatternFill
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if import_type == 'material':
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headers = MATERIAL_TEMPLATE_HEADERS
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instructions = MATERIAL_TEMPLATE_INSTRUCTIONS
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elif import_type == 'bom':
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headers = BOM_TEMPLATE_HEADERS
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instructions = BOM_TEMPLATE_INSTRUCTIONS
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else:
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raise ValueError(f"不支持的导入类型: {import_type}")
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wb = Workbook()
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ws = wb.active
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ws.title = f"{import_type}导入模板"
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# 表头样式
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header_font = Font(bold=True, size=11)
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header_fill = PatternFill(start_color="4472C4", end_color="4472C4", fill_type="solid")
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header_font_white = Font(bold=True, size=11, color="FFFFFF")
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ws.append(headers)
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for cell in ws[1]:
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cell.font = header_font_white
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cell.fill = header_fill
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# 说明行
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for instr in instructions:
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ws.append([instr] + [''] * (len(headers) - 1))
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# 样例数据行（浅绿色背景区分）
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example_fill = PatternFill(start_color="E2EFDA", end_color="E2EFDA", fill_type="solid")
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example_rows = MATERIAL_EXAMPLE_ROWS if import_type == 'material' else BOM_EXAMPLE_ROWS
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for row_data in example_rows:
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ws.append(row_data)
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for cell in ws[ws.max_row]:
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cell.fill = example_fill
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# 例宽
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for col in ws.columns:
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ws.column_dimensions[col[0].column_letter].width = 22
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output = io.BytesIO()
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wb.save(output)
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output.seek(0)
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return output
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def preview_material(file_stream, mode: str = 'skip') -> list:
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"""Dry-Run 预览基础信息导入（含 Excel 内部重复检测 + 空规格去重）
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Args:
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file_stream: Excel 文件流
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mode: 'skip' — DB 重复视为错误（默认）
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'update' — DB 重复标记为 'update' 状态（将被覆盖更新，不视为错误）
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"""
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import pandas as pd
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df = pd.read_excel(file_stream, header=0)
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# 跳过说明行（第一列包含"请勿"的行）
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df = df[~df.iloc[:, 0].astype(str).str.contains('请勿|标记|格式|默认')]
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col_map = {
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"所属公司(company_name)": "company_name",
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"名称(name)*": "name",
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"专业名称(common_name)": "common_name",
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"类别(category)*": "category",
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"类型(material_type)*": "type",
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"规格型号(spec_model)*": "spec",
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"计量单位(unit)*": "unit",
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"参考价格(reference_price)": "reference_price",
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"强制质检(is_inspection_required)": "is_inspection_required",
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"是否启用(is_enabled)": "is_enabled",
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}
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df.rename(columns=col_map, inplace=True)
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# 批量预查已存在的 spec_model（作为唯一货号，用于重复检测）
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existing = db.session.query(MaterialBase.spec_model).all()
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existing_set = {r.spec_model for r in existing if r.spec_model}
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# Excel 文件内部去重映射（spec → 首次出现行号）
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excel_seen_map = {}
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results = []
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for idx, row in df.iterrows():
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row_num = idx + 2 # Excel 行号
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errors = []
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name = str(row.get('name', '')).strip() if pd.notna(row.get('name')) else ''
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# spec_model 作为唯一货号，空值严格拦截
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spec = str(row.get('spec', '')).strip() if pd.notna(row.get('spec')) else ''
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category = str(row.get('category', '')).strip() if pd.notna(row.get('category')) else ''
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mat_type = str(row.get('type', '')).strip() if pd.notna(row.get('type')) else ''
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unit = str(row.get('unit', '')).strip() if pd.notna(row.get('unit')) else ''
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if not name:
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errors.append("名称不能为空")
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if not spec:
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errors.append("缺少必填项: 规格型号 (作为唯一货号不能为空)")
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if not category:
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errors.append("类别不能为空")
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if not mat_type:
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errors.append("类型不能为空")
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if not unit:
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errors.append("计量单位不能为空")
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# ★ 新增：字段长度校验（预防 DB commit 时因字段超长回滚）
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MAX_LENS = {
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'名称': (name, 255), '规格型号': (spec, 255),
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'所属公司': (str(row.get('company_name', '')) if pd.notna(row.get('company_name')) else '', 255),
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'专业名称': (str(row.get('common_name', '')) if pd.notna(row.get('common_name')) else '', 255),
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'类别': (category, 100), '类型': (mat_type, 100),
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'计量单位': (unit, 50),
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}
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for field_label, (val, max_len) in MAX_LENS.items():
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if len(val) > max_len:
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errors.append(f"{field_label}超出数据库限制({len(val)}>{max_len}字符)")
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# ★ 去重检测（仅依据 spec_model 作为唯一货号）
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if spec:
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is_db_dup = spec in existing_set
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if is_db_dup:
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if mode == 'update':
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# 覆盖更新模式：DB 重复不视为错误
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if spec in excel_seen_map:
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first_row = excel_seen_map[spec]
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errors.append(f"与表格内第 {first_row} 行的规格型号重复: {spec}")
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else:
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excel_seen_map[spec] = row_num
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else:
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# 跳过模式：DB 重复是错误
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errors.append(f"数据库已存在相同规格型号 (货号) 的数据: {spec}")
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else:
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# 不在 DB 中 → 检查是否与 Excel 内前面行重复
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if spec in excel_seen_map:
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first_row = excel_seen_map[spec]
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errors.append(f"与表格内第 {first_row} 行的规格型号重复: {spec}")
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else:
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excel_seen_map[spec] = row_num
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company = str(row.get('company_name', '')).strip() if pd.notna(row.get('company_name')) else ''
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common = str(row.get('common_name', '')).strip() if pd.notna(row.get('common_name')) else ''
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ref_price = row.get('reference_price')
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ref_price = float(ref_price) if pd.notna(ref_price) and str(ref_price).strip() else None
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is_enabled = parse_boolean(row.get('is_enabled', True))
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is_inspection = parse_boolean(row.get('is_inspection_required', False))
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# 决定行状态：update 模式下 DB 重复但不含其他错误的行 → 'update'
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if mode == 'update' and not errors and spec and spec in existing_set:
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row_status = 'update'
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elif errors:
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row_status = 'error'
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else:
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row_status = 'success'
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results.append({
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'row': row_num,
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'status': row_status,
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'error_msg': '; '.join(errors) if errors else ('将被覆盖更新' if row_status == 'update' else ''),
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'data': {
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'company_name': company,
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'name': name,
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'common_name': common,
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'category': category,
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'material_type': mat_type,
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'spec_model': spec,
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'unit': unit,
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'reference_price': ref_price,
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'is_inspection_required': is_inspection,
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'is_enabled': is_enabled,
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}
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})
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return results
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def preview_bom(file_stream) -> list:
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"""Dry-Run 预览 BOM 表导入"""
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import pandas as pd
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df = pd.read_excel(file_stream, header=0)
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df = df[~df.iloc[:, 0].astype(str).str.contains('请勿|标记|格式|默认|同一|留空')]
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# ★ Forward Fill: 父件上下文列自动向下填充（支持合并单元格 UX）
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ffill_cols = ["BOM编号(bom_no)*", "版本(version)", "父件名称(parent_name)*", "父件规格(parent_spec)"]
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for c in ffill_cols:
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if c in df.columns:
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df[c] = df[c].ffill()
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col_map = {
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"BOM编号(bom_no)*": "bom_no",
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"版本(version)": "version",
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"父件名称(parent_name)*": "parent_name",
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"父件规格(parent_spec)": "parent_spec",
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"子件名称(child_name)*": "child_name",
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"子件规格(child_spec)": "child_spec",
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"用量(dosage)*": "dosage",
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"损耗率%(loss_rate)": "loss_rate",
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"备注(remark)": "remark",
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"是否启用(is_enabled)": "is_enabled",
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}
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df.rename(columns=col_map, inplace=True)
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# 批量预查所有 MaterialBase（仅依据 spec_model 查找）
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all_materials = db.session.query(
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MaterialBase.id, MaterialBase.name, MaterialBase.spec_model
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).all()
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mat_lookup = {}
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for m in all_materials:
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if m.spec_model:
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mat_lookup[m.spec_model] = m.id
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# 预查所有已存在的 (bom_no, version, parent_id, child_id) 组合
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all_bom_pairs = db.session.query(
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BomTable.bom_no, BomTable.version,
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BomTable.parent_id, BomTable.child_id
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).all()
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existing_pairs = {(r.bom_no, r.version, r.parent_id, r.child_id) for r in all_bom_pairs}
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results = []
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for idx, row in df.iterrows():
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row_num = idx + 2
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errors = []
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bom_no = str(row.get('bom_no', '')).strip() if pd.notna(row.get('bom_no')) else ''
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version = str(row.get('version', 'V1.0')).strip() if pd.notna(row.get('version')) else 'V1.0'
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parent_name = str(row.get('parent_name', '')).strip() if pd.notna(row.get('parent_name')) else ''
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parent_spec = str(row.get('parent_spec', '')).strip() if pd.notna(row.get('parent_spec')) else ''
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child_name = str(row.get('child_name', '')).strip() if pd.notna(row.get('child_name')) else ''
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child_spec = str(row.get('child_spec', '')).strip() if pd.notna(row.get('child_spec')) else ''
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dosage = row.get('dosage', 0)
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if not bom_no:
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errors.append("BOM编号不能为空")
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if not parent_name:
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errors.append("父件名称不能为空")
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if not child_name:
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errors.append("子件名称不能为空")
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if pd.isna(dosage) or float(dosage) <= 0:
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errors.append("用量必须大于0")
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parent_id = mat_lookup.get(parent_spec) if parent_spec else None
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if parent_name and parent_id is None:
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errors.append(f"父件不存在 (规格型号): {parent_spec}")
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child_id = mat_lookup.get(child_spec) if child_spec else None
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if child_name and child_id is None:
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errors.append(f"子件不存在 (规格型号): {child_spec}")
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if parent_id and child_id and parent_id == child_id:
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errors.append("父件与子件不能是同一物料")
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if bom_no and parent_id and child_id:
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pair = (bom_no, version, parent_id, child_id)
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if pair in existing_pairs:
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errors.append(f"该BOM配方已存在: {bom_no} v{version}")
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dosage_val = float(dosage) if pd.notna(dosage) else 0
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loss_rate = float(row.get('loss_rate', 0)) if pd.notna(row.get('loss_rate')) else 0.0
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remark = str(row.get('remark', '')).strip() if pd.notna(row.get('remark')) else ''
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is_enabled = parse_boolean(row.get('is_enabled', True))
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results.append({
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'row': row_num,
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'status': 'error' if errors else 'success',
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'error_msg': '; '.join(errors) if errors else '',
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'data': {
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'bom_no': bom_no, 'version': version,
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'parent_id': parent_id, 'parent_name': parent_name, 'parent_spec': parent_spec,
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'child_id': child_id, 'child_name': child_name, 'child_spec': child_spec,
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'dosage': dosage_val, 'loss_rate': loss_rate,
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'remark': remark, 'is_enabled': is_enabled,
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}
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})
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return results
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def execute_material_import(rows: list, mode: str = 'skip') -> dict:
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"""执行基础信息批量导入
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Args:
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rows: 待导入行数据
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mode: 'skip' - 跳过重复行，继续导入其余数据（默认）
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'update' - 匹配到重复时覆盖更新已有记录
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"""
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import pandas as pd
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def _has_value(val) -> bool:
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"""判断值是否有效（Excel 单元格非空、非 NaN）"""
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if val is None:
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return False
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try:
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if pd.isna(val):
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return False
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except Exception:
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pass
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s = str(val).strip()
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return s != '' and s != 'nan' and s != 'None'
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inserted = 0
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updated = 0
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skipped = 0
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errors = []
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try:
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for i, item in enumerate(rows):
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d = item.get('data', item)
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spec = d.get('spec_model', '')
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try:
|
||
# ★ 仅依据 spec_model（唯一货号）查找已有记录
|
||
existing = MaterialBase.query.filter_by(spec_model=spec).first() if spec else None
|
||
|
||
if existing:
|
||
if mode == 'update':
|
||
# ★ 覆盖更新模式：用 Excel 数据更新已有记录（含名称）
|
||
# 仅当 Excel 单元格有实际值时覆盖，空值不覆盖已有数据
|
||
if _has_value(d.get('name')):
|
||
existing.name = str(d['name']).strip()
|
||
if _has_value(d.get('company_name')):
|
||
existing.company_name = str(d['company_name']).strip()
|
||
if _has_value(d.get('common_name')):
|
||
existing.common_name = str(d['common_name']).strip()
|
||
if _has_value(d.get('category')):
|
||
existing.category = str(d['category']).strip()
|
||
if _has_value(d.get('material_type')):
|
||
existing.material_type = str(d['material_type']).strip()
|
||
if _has_value(d.get('spec_model')):
|
||
existing.spec_model = str(d['spec_model']).strip()
|
||
if _has_value(d.get('unit')):
|
||
existing.unit = str(d['unit']).strip()
|
||
if d.get('reference_price') is not None and _has_value(d.get('reference_price')):
|
||
try:
|
||
existing.reference_price = float(d['reference_price'])
|
||
except Exception:
|
||
pass
|
||
if _has_value(d.get('is_inspection_required')):
|
||
existing.is_inspection_required = parse_boolean(d.get('is_inspection_required'))
|
||
if _has_value(d.get('is_enabled')):
|
||
existing.is_enabled = parse_boolean(d.get('is_enabled'))
|
||
updated += 1
|
||
continue
|
||
else:
|
||
# ★ 跳过模式（默认）：记录跳过，继续导入其余行
|
||
skipped += 1
|
||
errors.append({'row': i + 2, 'msg': f"重复数据已跳过 (货号): {spec}"})
|
||
continue
|
||
|
||
mat = MaterialBase(
|
||
company_name=d.get('company_name', ''),
|
||
name=d['name'],
|
||
common_name=d.get('common_name', ''),
|
||
category=d.get('category', ''),
|
||
material_type=d.get('material_type', ''),
|
||
spec_model=d.get('spec_model', ''),
|
||
unit=d.get('unit', ''),
|
||
reference_price=d.get('reference_price'),
|
||
is_inspection_required=d.get('is_inspection_required', False),
|
||
is_enabled=d.get('is_enabled', True),
|
||
)
|
||
db.session.add(mat)
|
||
inserted += 1
|
||
except Exception as e:
|
||
errors.append({'row': i + 2, 'msg': str(e)})
|
||
|
||
# ★ 改造：不再"一刀切"回滚，只提交成功的行
|
||
# 防御：捕获 DB 级异常（字段超长、约束冲突等），优雅返回而非 500
|
||
try:
|
||
db.session.commit()
|
||
except Exception as commit_err:
|
||
db.session.rollback()
|
||
return {
|
||
'success': False,
|
||
'inserted': 0,
|
||
'updated': 0,
|
||
'skipped': 0,
|
||
'errors': [{'row': 0, 'msg': f'数据库写入失败: {str(commit_err)}'}],
|
||
'msg': f'导入失败，数据库写入异常（可能字段超长或约束冲突）: {str(commit_err)}',
|
||
}
|
||
|
||
# 构建结果消息
|
||
parts = []
|
||
if inserted > 0:
|
||
parts.append(f"新增 {inserted} 条")
|
||
if updated > 0:
|
||
parts.append(f"更新 {updated} 条")
|
||
if skipped > 0:
|
||
parts.append(f"跳过 {skipped} 条重复")
|
||
msg = "成功: " + "，".join(parts) if parts else "没有数据被导入"
|
||
|
||
return {
|
||
'success': True,
|
||
'inserted': inserted,
|
||
'updated': updated,
|
||
'skipped': skipped,
|
||
'errors': errors,
|
||
'msg': msg,
|
||
}
|
||
|
||
except Exception as e:
|
||
db.session.rollback()
|
||
return {'success': False, 'inserted': 0, 'updated': 0, 'skipped': 0,
|
||
'errors': [{'row': 0, 'msg': str(e)}], 'msg': f'导入异常: {str(e)}'}
|
||
|
||
|
||
def execute_bom_import(rows: list) -> dict:
|
||
"""执行 BOM 批量导入（事务保护）"""
|
||
# 预加载所有物料映射
|
||
all_materials = db.session.query(
|
||
MaterialBase.id, MaterialBase.name, MaterialBase.spec_model
|
||
).all()
|
||
mat_lookup = {}
|
||
for m in all_materials:
|
||
if m.spec_model:
|
||
mat_lookup[m.spec_model] = m.id
|
||
|
||
inserted = 0
|
||
errors = []
|
||
|
||
try:
|
||
for i, item in enumerate(rows):
|
||
d = item.get('data', item)
|
||
try:
|
||
parent_id = d.get('parent_id')
|
||
child_id = d.get('child_id')
|
||
bom_no = d.get('bom_no', '')
|
||
version = d.get('version', 'V1.0')
|
||
|
||
if not parent_id:
|
||
parent_spec = d.get('parent_spec', '')
|
||
parent_id = mat_lookup.get(parent_spec) if parent_spec else None
|
||
if not child_id:
|
||
child_spec = d.get('child_spec', '')
|
||
child_id = mat_lookup.get(child_spec) if child_spec else None
|
||
|
||
if not parent_id or not child_id:
|
||
errors.append({'row': i + 2, 'msg': '父件或子件在系统中不存在'})
|
||
continue
|
||
|
||
existing = BomTable.query.filter_by(
|
||
bom_no=bom_no, version=version,
|
||
parent_id=parent_id, child_id=child_id
|
||
).first()
|
||
if existing:
|
||
errors.append({'row': i + 2, 'msg': f'BOM配方已存在: {bom_no} v{version}'})
|
||
continue
|
||
|
||
bom = BomTable(
|
||
bom_no=bom_no, version=version,
|
||
parent_id=parent_id, child_id=child_id,
|
||
dosage=d.get('dosage', 0),
|
||
loss_rate=d.get('loss_rate', 0),
|
||
remark=d.get('remark', ''),
|
||
is_enabled=d.get('is_enabled', True),
|
||
)
|
||
db.session.add(bom)
|
||
inserted += 1
|
||
except Exception as e:
|
||
errors.append({'row': i + 2, 'msg': str(e)})
|
||
|
||
if errors:
|
||
db.session.rollback()
|
||
return {'success': False, 'inserted': 0, 'errors': errors,
|
||
'msg': f'导入失败，{len(errors)} 条数据校验未通过'}
|
||
|
||
db.session.commit()
|
||
return {'success': True, 'inserted': inserted, 'errors': [],
|
||
'msg': f'成功导入 {inserted} 条BOM配方'}
|
||
|
||
except Exception as e:
|
||
db.session.rollback()
|
||
return {'success': False, 'inserted': 0,
|
||
'errors': [{'row': 0, 'msg': str(e)}], 'msg': f'导入异常: {str(e)}'}
|