"""出库数据路由""" from flask import Blueprint, request, jsonify, session, redirect, url_for, render_template, send_file, Response from services.db import query from routes.auth import login_required, role_required, operation_required from services.field_perms import filter_rows as _filter_field_rows data_bp = Blueprint('data', __name__) # 筛选项变化频率远低于页面访问频率。短时缓存仅用于筛选项，避免每次 # 打开出库明细都执行 5 次 DISTINCT 全表查询；数据更新后最多 60 秒刷新。 _data_filter_cache = {'expires_at': 0, 'data': None} @data_bp.route('/data') @login_required def data_page(): if not role_required('data'): return redirect(url_for('auth.index')) return render_template('base.html', page='data_detail') @data_bp.route('/data/summary') @login_required def data_summary_page(): if not role_required('data'): return redirect(url_for('auth.index')) return render_template('base.html', page='data_summary') @data_bp.route('/data/detail') @login_required def data_detail_page(): if not role_required('data'): return redirect(url_for('auth.index')) return render_template('base.html', page='data_detail') # ─── API: 数据查询 ─── @data_bp.route('/api/data/list') @login_required def data_list(): page = int(request.args.get('page', 1)) size = int(request.args.get('size', 50)) offset = (page - 1) * size date_from = request.args.get('date_from', '') date_to = request.args.get('date_to', '') brand_filter = request.args.get('brand', '') shop_filter = request.args.get('shop', '') source_filter = request.args.get('source', '') warehouse_filter = request.args.get('warehouse', '') search = request.args.get('search', '') where = ["货品编号 != '合计:'"] params = [] if date_from: where.append("日期 >= %s") params.append(date_from) if date_to: where.append("日期 <= %s") params.append(date_to) if brand_filter: where.append("品牌=%s") params.append(brand_filter) if shop_filter: where.append("店铺=%s") params.append(shop_filter) if source_filter: src_vals = {source_filter} display_name = SOURCE_MAP_CN.get(source_filter) if display_name: src_vals.add(display_name) else: # Check if source_filter is a known display name (reverse lookup) for code, name in SOURCE_MAP_CN.items(): if source_filter == name: src_vals.add(code) break if len(src_vals) > 1: placeholders = ', '.join(['%s'] * len(src_vals)) where.append(f"数据来源 IN ({placeholders})") params.extend(sorted(src_vals)) else: where.append("数据来源=%s") params.append(source_filter) if warehouse_filter: where.append("仓库=%s") params.append(warehouse_filter) if search: where.append("(货品编号 LIKE %s OR 货品名称 LIKE %s)") params.extend([f"%{search}%", f"%{search}%"]) where_clause = " AND ".join(where) total = query(f"SELECT COUNT(*) AS cnt FROM daily_outbound WHERE {where_clause}", params)[0]['cnt'] rows = query(f""" SELECT id, 日期, 货品编号, 货品名称, 品牌, 仓库, 店铺, 一级类目, 二级类目, 三级类目, 货品数量, 货品成本, 数据来源 FROM daily_outbound WHERE {where_clause} ORDER BY 日期 DESC, 货品数量 DESC, id DESC LIMIT {size} OFFSET {offset} """, params) for row in rows: if '日期' in row and row['日期']: row['日期'] = row['日期'].strftime('%Y-%m-%d') if hasattr(row['日期'], 'strftime') else str(row['日期'])[:10] _filter_field_rows('data_detail', rows, session.get('user_id'), session.get('role'), page_view=bool(role_required('data_detail')), page_edit=operation_required('data_detail', 'query')) return jsonify({ "code": 0, "data": { "total": total, "page": page, "size": size, "rows": rows } }) @data_bp.route('/api/data/export') @login_required def data_export(): """导出历史出库明细数据，沿用出库明细页面当前筛选条件。""" from io import BytesIO import openpyxl from openpyxl.styles import Font, Alignment, PatternFill date_from = request.args.get('date_from', '') date_to = request.args.get('date_to', '') brand_filter = request.args.get('brand', '') shop_filter = request.args.get('shop', '') source_filter = request.args.get('source', '') warehouse_filter = request.args.get('warehouse', '') search = request.args.get('search', '') selected_fields = [f for f in request.args.get('fields', '').split(',') if f] field_defs = { 'date': ('日期', 14), 'product_code': ('货品编号', 22), 'product_name': ('货品名称', 30), 'brand': ('品牌', 16), 'quantity': ('货品数量', 12), 'unit_cost': ('成本价', 14), 'amount': ('金额', 14), 'warehouse': ('仓库', 18), 'shop': ('店铺', 18), 'source': ('数据来源', 16), } if not selected_fields: selected_fields = list(field_defs) selected_fields = [f for f in selected_fields if f in field_defs] if not selected_fields: return jsonify({'code': 400, 'msg': '请至少选择一个导出字段'}), 400 where = ["货品编号 != '合计:'"] params = [] if date_from: where.append("日期 >= %s"); params.append(date_from) if date_to: where.append("日期 <= %s"); params.append(date_to) if brand_filter: where.append("品牌=%s"); params.append(brand_filter) if shop_filter: where.append("店铺=%s"); params.append(shop_filter) if source_filter: src_vals = {source_filter} display_name = SOURCE_MAP_CN.get(source_filter) if display_name: src_vals.add(display_name) else: for code, name in SOURCE_MAP_CN.items(): if source_filter == name: src_vals.add(code) break placeholders = ', '.join(['%s'] * len(src_vals)) where.append(f"数据来源 IN ({placeholders})") params.extend(sorted(src_vals)) if warehouse_filter: where.append("仓库=%s"); params.append(warehouse_filter) if search: where.append("(货品编号 LIKE %s OR 货品名称 LIKE %s)") params.extend([f"%{search}%", f"%{search}%"]) rows = query(f""" SELECT 日期, 货品编号, 货品名称, 品牌, 货品数量, 货品成本, 仓库, 店铺, 数据来源 FROM daily_outbound WHERE {' AND '.join(where)} ORDER BY 日期 DESC, 货品数量 DESC """, params) headers = [field_defs[f][0] for f in selected_fields] source_names = SOURCE_MAP_CN wb = openpyxl.Workbook() ws = wb.active ws.title = '历史出库明细' ws.append(headers) for cell in ws[1]: cell.font = Font(bold=True, color='FFFFFF') cell.fill = PatternFill('solid', fgColor='1890FF') cell.alignment = Alignment(horizontal='center', vertical='center') for row in rows: total_cost = float(row.get('货品成本') or 0) quantity = float(row.get('货品数量') or 0) values = [] for field in selected_fields: key = field_defs[field][0] if field == 'date': value = row.get('日期', '') value = value.strftime('%Y-%m-%d') if value and hasattr(value, 'strftime') else (str(value)[:10] if value else '') elif field == 'quantity': value = quantity elif field == 'unit_cost': value = round(total_cost / quantity, 4) if quantity else 0 elif field == 'amount': value = total_cost elif field == 'source': value = source_names.get(row.get('数据来源'), row.get('数据来源') or '') else: value = row.get(key, '') values.append(value if value is not None else '') ws.append(values) widths = [field_defs[f][1] for f in selected_fields] for idx, width in enumerate(widths, 1): ws.column_dimensions[openpyxl.utils.get_column_letter(idx)].width = width ws.freeze_panes = 'A2' ws.auto_filter.ref = ws.dimensions output = BytesIO() wb.save(output) output.seek(0) return send_file(output, as_attachment=True, download_name='历史出库明细.xlsx', mimetype='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet') SOURCE_MAP_CN = { 'wdt': '旺店通', 'jdbz': '京东泊紫', 'jdgj': '京东国际', 'jdjwt': '京东洁维塔', 'tmgj': '天猫国际', 'dymuto': '抖音M店', 'dymtuo': '抖音M店', 'jdsmj': '京东适美家', } # Reverse map: Chinese name → code, so stale Chinese-name entries in DB get normalized back _SOURCE_MAP_REVERSE = {v: k for k, v in SOURCE_MAP_CN.items()} def _dedup_sources(raw_sources): """Deduplicate sources by display name, keeping the raw DB value (prefers codes over Chinese names since SQL sorts codes first), preserving order. Also normalizes any Chinese-name entries back to canonical codes.""" seen = set() deduped = [] for s in raw_sources: # normalize: if a Chinese name is in DB, map it back to the code code = _SOURCE_MAP_REVERSE.get(s) if code is not None: s = code display = SOURCE_MAP_CN.get(s, s) if display not in seen: seen.add(display) deduped.append(s) # keep the raw DB value so SQL filtering still works return deduped @data_bp.route('/api/data/dates') @login_required def data_dates(): import time now = time.time() if _data_filter_cache['data'] is not None and now < _data_filter_cache['expires_at']: return jsonify({'code': 0, 'data': _data_filter_cache['data']}) dates = query("SELECT DISTINCT 日期 FROM daily_outbound ORDER BY 日期 DESC") brands = query("SELECT DISTINCT 品牌 FROM daily_outbound ORDER BY 品牌") shops = query("SELECT DISTINCT 店铺 FROM daily_outbound WHERE 店铺 IS NOT NULL AND 店铺 != '' ORDER BY 店铺") sources = query("SELECT DISTINCT 数据来源 FROM daily_outbound WHERE 数据来源 IS NOT NULL AND 数据来源 != '' ORDER BY 数据来源") warehouses = query("SELECT DISTINCT 仓库 FROM daily_outbound WHERE 仓库 IS NOT NULL AND 仓库 != '' ORDER BY 仓库") data = { "dates": [d['日期'].strftime('%Y-%m-%d') if hasattr(d['日期'], 'strftime') else d['日期'] for d in dates], "brands": [b['品牌'] for b in brands], "shops": [s['店铺'] for s in shops], "sources": _dedup_sources([s['数据来源'] for s in sources]), "warehouses": [w['仓库'] for w in warehouses] } _data_filter_cache.update({'expires_at': now + 60, 'data': data}) return jsonify({'code': 0, 'data': data}) @data_bp.route('/api/data/summary') @login_required def outbound_summary(): """按货品编号+日期汇总出库量""" page = int(request.args.get('page', 1)) size = int(request.args.get('size', 50)) offset = (page - 1) * size date_from = request.args.get('date_from', '') date_to = request.args.get('date_to', '') search = request.args.get('search', '') where = ["货品编号 != '' AND 货品编号 IS NOT NULL"] params = [] if date_from: where.append("DATE(日期) >= %s") params.append(date_from) if date_to: # 日期选择器按自然日筛选，包含结束日期当天的全部记录。 where.append("DATE(日期) <= %s") params.append(date_to) if search: where.append("(货品编号 LIKE %s OR 货品名称 LIKE %s)") params.extend([f"%{search}%", f"%{search}%"]) where_clause = " AND ".join(where) # 汇总查询 count_result = query(f""" SELECT COUNT(DISTINCT CONCAT(日期, '_', 货品编号)) AS cnt FROM daily_outbound WHERE {where_clause} """, params) total = count_result[0]['cnt'] if count_result else 0 rows = query(f""" SELECT 日期, 货品编号, 货品名称, 品牌, SUM(货品数量) AS total_qty, ROUND(SUM(货品成本), 2) AS total_cost FROM daily_outbound WHERE {where_clause} GROUP BY 日期, 货品编号, 货品名称, 品牌 ORDER BY 日期 DESC, total_qty DESC LIMIT {size} OFFSET {offset} """, params) for row in rows: if '日期' in row and row['日期']: row['日期'] = row['日期'].strftime('%Y-%m-%d') if hasattr(row['日期'], 'strftime') else str(row['日期'])[:10] row['total_qty'] = int(row['total_qty']) if row['total_qty'] else 0 row['total_cost'] = float(row['total_cost']) if row['total_cost'] else 0 summary_result = query(f""" SELECT COALESCE(SUM(货品数量), 0) AS total_qty, COALESCE(ROUND(SUM(货品成本), 2), 0) AS total_cost FROM daily_outbound WHERE {where_clause} """, params) summary = summary_result[0] if summary_result else {} return jsonify({ "code": 0, "data": { "total": total, "page": page, "size": size, "summary": { "total_qty": int(summary.get('total_qty') or 0), "total_cost": float(summary.get('total_cost') or 0) }, "total_qty": int(summary.get('total_qty') or 0), "total_cost": float(summary.get('total_cost') or 0), "rows": rows } }) @data_bp.route('/api/data/summary-total') @login_required def outbound_summary_total(): """返回数据汇总当前筛选条件下的全量合计，不受分页影响。""" date_from = request.args.get('date_from', '') date_to = request.args.get('date_to', '') search = request.args.get('search', '') where = ["货品编号 != '' AND 货品编号 IS NOT NULL"] params = [] if date_from: where.append("DATE(日期) >= %s") params.append(date_from) if date_to: where.append("DATE(日期) <= %s") params.append(date_to) if search: where.append("(货品编号 LIKE %s OR 货品名称 LIKE %s)") params.extend([f"%{search}%", f"%{search}%"]) result = query(f""" SELECT COALESCE(SUM(货品数量), 0) AS total_qty, COALESCE(ROUND(SUM(货品成本), 2), 0) AS total_cost FROM daily_outbound WHERE {' AND '.join(where)} """, params) row = result[0] if result else {} return jsonify({'code': 0, 'data': { 'total_qty': int(row.get('total_qty') or 0), 'total_cost': float(row.get('total_cost') or 0) }}) @data_bp.route('/api/data/summary-stats') @login_required def outbound_summary_stats(): """出库汇总统计：总出库量 + 趋势（按月/日，可按SKU筛选）""" search = request.args.get('search', '') group_by = request.args.get('group_by', 'month') # month or day month = request.args.get('month', '') # 钻取某月时传入 YYYY-MM where = ["货品编号 != '' AND 货品编号 IS NOT NULL"] params = [] if search: where.append("(货品编号 LIKE %s OR 货品名称 LIKE %s)") params.extend([f"%{search}%", f"%{search}%"]) where_clause = " AND ".join(where) # 总出库量（不受钻取影响） total = query(f""" SELECT SUM(货品数量) AS total_out_qty, COUNT(DISTINCT 货品编号) AS total_sku, COUNT(DISTINCT 日期) AS total_days FROM daily_outbound WHERE {where_clause} """, params) # 趋势数据 if group_by == 'day' and month: # 钻取：查看某月的每日趋势 where.append("DATE_FORMAT(日期, '%%Y-%%m') = %s") params.append(month) where_clause = " AND ".join(where) trend = query(f""" SELECT 日期, SUM(货品数量) AS day_qty FROM daily_outbound WHERE {where_clause} GROUP BY 日期 ORDER BY 日期 ASC """, params) for row in trend: if '日期' in row and row['日期']: row['日期'] = row['日期'].strftime('%Y-%m-%d') if hasattr(row['日期'], 'strftime') else str(row['日期'])[:10] row['day_qty'] = int(row['day_qty']) if row['day_qty'] else 0 else: # 按月聚合 trend = query(f""" SELECT DATE_FORMAT(日期, '%%Y-%%m') AS month, SUM(货品数量) AS month_qty FROM daily_outbound WHERE {where_clause} GROUP BY DATE_FORMAT(日期, '%%Y-%%m') ORDER BY month ASC """, params) for row in trend: row['month'] = row.get('month') or '' row['month_qty'] = int(row.get('month_qty') or 0) stats = total[0] if total else {} return jsonify({ "code": 0, "data": { "total_out_qty": int(stats.get('total_out_qty') or 0), "total_sku": int(stats.get('total_sku') or 0), "total_days": int(stats.get('total_days') or 0), "group_by": group_by, "month": month, "trend": trend } }) @data_bp.route('/api/data/sku-trend') @login_required def outbound_sku_trend(): """商品日出库趋势：按日聚合出库量，排除赠品/小样（可指定商品）""" product_code = request.args.get('product_code', '') search = request.args.get('search', '') date_from = request.args.get('date_from', '') date_to = request.args.get('date_to', '') where = ["d.货品编号 != '' AND d.货品编号 IS NOT NULL"] params = [] # 排除赠品、小样：products.product_type='赠品' 或 名称含赠品/小样 where.append("(p.product_type IS NULL OR p.product_type NOT IN ('赠品','小样'))") where.append("(d.货品名称 NOT LIKE '%%赠品%%' AND d.货品名称 NOT LIKE '%%小样%%')") if product_code: where.append("d.货品编号=%s") params.append(product_code) if search: where.append("(d.货品编号 LIKE %s OR d.货品名称 LIKE %s)") params.extend([f"%{search}%", f"%{search}%"]) if date_from: where.append("d.日期 >= %s") params.append(date_from) if date_to: where.append("d.日期 <= %s") params.append(date_to) where_clause = " AND ".join(where) trend = query(f""" SELECT d.日期, SUM(d.货品数量) AS day_qty FROM daily_outbound d LEFT JOIN products p ON p.product_code = d.货品编号 WHERE {where_clause} GROUP BY d.日期 ORDER BY d.日期 ASC """, params) for row in trend: if '日期' in row and row['日期']: row['日期'] = row['日期'].strftime('%Y-%m-%d') if hasattr(row['日期'], 'strftime') else str(row['日期'])[:10] row['day_qty'] = int(row['day_qty']) if row['day_qty'] else 0 total_qty = sum(row['day_qty'] for row in trend) return jsonify({ "code": 0, "data": { "total_qty": total_qty, "product_code": product_code, "trend": trend } }) @data_bp.route('/api/data/sku-detail') @login_required def outbound_sku_detail(): """查看某个SKU在某天的出库明细（按仓库+店铺展开）""" product_code = request.args.get('product_code', '') date_str = request.args.get('date', '') if not product_code or not date_str: return jsonify({"code": 1, "msg": "缺少参数"}) rows = query(""" SELECT 仓库, 店铺, 数据来源, SUM(货品数量) AS qty, ROUND(SUM(货品成本), 2) AS cost FROM daily_outbound WHERE 货品编号 = %s AND 日期 = %s GROUP BY 仓库, 店铺, 数据来源 ORDER BY qty DESC """, (product_code, date_str)) for row in rows: row['qty'] = int(row['qty']) if row['qty'] else 0 row['cost'] = float(row['cost']) if row['cost'] else 0 return jsonify({ "code": 0, "data": { "product_code": product_code, "date": date_str, "details": rows } }) @data_bp.route('/api/data/search_filters') @login_required def data_search_filters(): field = request.args.get('field', '') q = request.args.get('q', '') if not field or not q: return jsonify({"code": 0, "data": []}) col_map = {'warehouse': '仓库', 'shop': '店铺', 'brand': '品牌'} col = col_map.get(field, field) kw = f'%{q}%' rows = query(f"SELECT DISTINCT `{col}` FROM daily_outbound WHERE `{col}` LIKE %s AND `{col}` IS NOT NULL AND `{col}` != '' ORDER BY `{col}` LIMIT 20", [kw]) return jsonify({"code": 0, "data": [r[col] for r in rows]}) # ─── API: 出库明细导入 ─── OUTBOUND_IMPORT_HEADERS = [ '日期', '货品编号', '货品名称', '品牌', '仓库', '店铺', '一级类目', '二级类目', '三级类目', '货品数量', '货品成本', '数据来源', ] OUTBOUND_IMPORT_SAMPLE = [ '2026-09-15', 'POZ-XFS-7645-TM', '示例：泊紫汀兰青少年去屑止痒洗发水', '泊紫汀兰', '1蝶雅广州新仓(蝶雅自营)', '抖音-泊紫汀兰Pozitilan母婴旗舰店', '个人护理', '', '', '6', '44.0100', 'wdt', ] def _resolve_outbound_source(val): """数据来源支持填写编码（wdt）或中文名（旺店通），统一存编码。""" from routes.inventory import _import_text s = _import_text(val) if not s: return 'wdt' if s in SOURCE_MAP_CN: return s for code, name in SOURCE_MAP_CN.items(): if s == name: return code return s @data_bp.route('/api/data/import_template') @login_required def data_import_template(): """下载出库明细导入模板 CSV""" if not operation_required('data_detail', 'import'): return jsonify({"code": 403, "msg": "无导入权限"}) import csv import io output = io.StringIO() writer = csv.writer(output) writer.writerow(OUTBOUND_IMPORT_HEADERS) writer.writerow(OUTBOUND_IMPORT_SAMPLE) csv_data = output.getvalue() output.close() return Response( csv_data, mimetype='text/csv', headers={'Content-Disposition': 'attachment; filename=outbound_import_template.csv'} ) @data_bp.route('/api/data/import', methods=['POST']) @login_required def data_import(): """导入出库明细 CSV：同「日期+数据来源+货品编号+仓库+店铺」先删后插，避免重复。""" if not operation_required('data_detail', 'import'): return jsonify({"code": 403, "msg": "无导入权限"}) if 'file' not in request.files: return jsonify({"code": 400, "msg": "未上传文件"}) f = request.files['file'] if not f.filename: return jsonify({"code": 400, "msg": "未选择文件"}) from routes.inventory import ( _parse_import_rows, _normalize_import_date, _import_int, _import_float, _import_text, _is_invalid_product_code, ) headers, data_rows = _parse_import_rows(f.read()) if headers is None: return jsonify({"code": 400, "msg": "CSV文件至少需要表头+1行数据，请确认编码与格式正确"}) matched = sum(1 for h in OUTBOUND_IMPORT_HEADERS if h in headers) if matched < 2: return jsonify({ "code": 400, "msg": "CSV列名不匹配\n预期列名：%s\n实际列名：%s" % (','.join(OUTBOUND_IMPORT_HEADERS), ','.join(headers)) }) def cell(row, name): idx = headers.index(name) if name in headers else -1 return row[idx] if 0 <= idx < len(row) else '' records = [] errors = [] for i, row in enumerate(data_rows, start=2): code = _import_text(cell(row, '货品编号')) if _is_invalid_product_code(code): continue date_val = _normalize_import_date(cell(row, '日期')) if not date_val: errors.append('第%d行：日期无法识别（需 YYYY-MM-DD）' % i) continue source = _resolve_outbound_source(cell(row, '数据来源')) records.append(( code, _import_text(cell(row, '货品名称')), _import_text(cell(row, '品牌')), _import_text(cell(row, '仓库')), _import_text(cell(row, '店铺')), _import_text(cell(row, '一级类目')), _import_text(cell(row, '二级类目')), _import_text(cell(row, '三级类目')), _import_int(cell(row, '货品数量')), _import_float(cell(row, '货品成本')), date_val, source, )) if not records: msg = '没有可导入的数据' + ('：' + '；'.join(errors[:5]) if errors else '') return jsonify({"code": 400, "msg": msg}) from services.db import get_db conn = get_db() try: with conn.cursor() as cur: for rec in records: cur.execute( "DELETE FROM daily_outbound WHERE 日期=%s AND 数据来源=%s AND 货品编号=%s " "AND 仓库=%s AND 店铺=%s", (rec[10], rec[11], rec[0], rec[3], rec[4]) ) cur.executemany( "INSERT INTO daily_outbound " "(货品编号, 货品名称, 品牌, 仓库, 店铺, 一级类目, 二级类目, 三级类目, " " 货品数量, 货品成本, 日期, 数据来源, 数据类型) " "VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,'出库数据')", records ) conn.commit() except Exception as e: conn.rollback() return jsonify({"code": 500, "msg": "导入失败：%s" % e}) finally: conn.close() try: from services.cache import refresh_all_caches refresh_all_caches() except Exception: pass try: from services.db import add_operation_log add_operation_log('出库明细导入', '导入出库明细 %d 条（跳过%d条）' % (len(records), len(errors)), page='data_detail') except Exception: pass msg = '✅ 成功导入 %d 条' % len(records) if errors: msg += '，%d 行未导入：%s' % (len(errors), '；'.join(errors[:5])) if len(errors) > 5: msg += ' 等' return jsonify({"code": 0, "msg": msg, "imported": len(records), "failed": len(errors)})