V3.0.0 叠加客户亏损筛选，生成最终发放记录

新增功能：
- 读取1月/2月亏损表，按客户名称匹配考核数据
- 车辆考核追踪新增列：客户名称、客户是否亏损、考核应发、最终发放、未发放原因
- 月汇总新增亏损筛选section：亏损拦截/未匹配/最终发放/汇总
- 3月无亏损表，全部正常发放
- 亏损拦截不补发

规则：客户亏损→该客户下所有车不发；未匹配→标注待人工确认

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

calc_engine.py

@@ -179,6 +179,47 @@ VEHICLE_TARGET_MAP = {
     ('现代氢能科技（广州）有限公司', '4.5吨货车'): ('恒运50辆4.5T普货', 5000, 260),
 }
 
+def read_loss_data(month):
+    """读取亏损表，返回 {客户名称: '是'/'否'} 字典。无亏损表返回None"""
+    import os
+    fp = f'{month}月.xlsx'
+    if not os.path.exists(fp):
+        return None
+
+    wb = openpyxl.load_workbook(fp, data_only=True)
+    ws = wb[wb.sheetnames[0]]
+    h = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
+
+    # 1月: 列名"项目","1月是否亏损"
+    # 2月: 列名"客户名称","是否亏损"
+    client_col = None; loss_col = None
+    for i, col_name in enumerate(h):
+        if col_name and ('项目' in str(col_name) or '客户' in str(col_name)):
+            client_col = i
+        if col_name and '亏损' in str(col_name):
+            loss_col = i
+
+    if client_col is None or loss_col is None:
+        wb.close()
+        return None
+
+    result = {}
+    for row in ws.iter_rows(min_row=2, values_only=True):
+        client = row[client_col]
+        loss = row[loss_col]
+        if client:
+            result[str(client).strip()] = str(loss).strip() if loss else ''
+    wb.close()
+    return result
+
+def get_vehicle_client_map(D):
+    """从考核源数据构建 {车牌号: 客户名称} 映射（取最新月的客户名）"""
+    plate_client = {}
+    for m in sorted(D.keys()):
+        for r in D[m]:
+            plate_client[r['车牌号']] = r.get('客户名称', '')
+    return plate_client
+
 def read_master_vehicles(fp='里程任务考核_Q1汇总.xlsx'):
     """从现有Q1汇总文件读取全量车辆台账"""
     wb = openpyxl.load_workbook(fp, data_only=True)

excel_writer.py

@@ -162,14 +162,44 @@ def write_calc_process_mar(wb, G1, G2, G3, feb_data):
             c5,R(cbp3) if cbp3>0 else 0,R(total) if total>0 else 0]); rn+=1
     AW(ws)
 
-def write_summary_jan(wb, records):
+def write_summary_jan(wb, records, loss_data=None, plate_client=None):
     ws = wb.create_sheet('1月汇总')
     jan_dl=[{'车牌':r['车牌号'],'销售':r['销售经理'],'部门':r['部门名称'],'额':r['奖金']} for r in records if r['是否达标']=='达标']
-    rn=write_sec(ws,1,'1月达标奖励',jan_dl)
+    rn=write_sec(ws,1,'1月达标奖励(考核应发)',jan_dl)
+
+    if loss_data is not None:
+        # 亏损拦截
+        blocked = []
+        passed = []
+        unmatched = []
+        for d in jan_dl:
+            client = (plate_client or {}).get(d['车牌'], '')
+            status = loss_data.get(client, '未匹配') if client else '未匹配'
+            if status == '是':
+                blocked.append({**d, '客户': client})
+            elif status == '未匹配':
+                unmatched.append({**d, '客户': client})
+            else:
+                passed.append(d)
+
+        rn = write_sec(ws, rn, '亏损拦截(客户亏损不发放)', blocked if blocked else [])
+        rn = write_sec(ws, rn, '未匹配亏损表(需人工确认)', unmatched if unmatched else [])
+        rn = write_sec(ws, rn, '最终发放', passed)
+
+        ws.cell(row=rn, column=1, value='汇总').font=Font(bold=True, size=11); rn+=1
+        total_考核 = sum(d['额'] for d in jan_dl)
+        total_拦截 = sum(d['额'] for d in blocked)
+        total_未匹配 = sum(d['额'] for d in unmatched)
+        total_最终 = sum(d['额'] for d in passed)
+        WR(ws, rn, ['考核应发', R(total_考核)]); rn+=1
+        WR(ws, rn, ['亏损拦截', R(total_拦截)]); rn+=1
+        WR(ws, rn, ['未匹配(待确认)', R(total_未匹配)]); rn+=1
+        WR(ws, rn, ['最终发放', R(total_最终)]); ws.cell(row=rn,column=1).font=Font(bold=True); rn+=2
+
     write_total(ws,rn,1,{'达标':jan_dl})
     AW(ws)
 
-def write_summary_month(wb, month, month_data, section_names):
+def write_summary_month(wb, month, month_data, section_names, loss_data=None, plate_client=None):
     ws = wb.create_sheet(f'{month}月汇总')
     rn=1
     for i,cat in enumerate(section_names):
@@ -178,7 +208,47 @@ def write_summary_month(wb, month, month_data, section_names):
                      '当月':f'{"三" if month==2 else "四"}、{month}月当月奖励',
                      f'累计补发{month}月':f'{"四" if month==2 else "五"}、累计达标补发{month}月'}
         rn=write_sec(ws,rn,label_map.get(cat,cat),month_data.get(cat,[]))
+
+    # 考核应发合计
     write_total(ws,rn,month,month_data)
+    # 找最后一行
+    rn = ws.max_row + 2
+
+    if loss_data is not None:
+        # 合并所有发放记录
+        all_dl = []
+        for cat, dl in month_data.items():
+            all_dl.extend(dl)
+
+        blocked = []; passed = []; unmatched = []
+        for d in all_dl:
+            client = (plate_client or {}).get(d['车牌'], '')
+            status = loss_data.get(client, '未匹配') if client else '未匹配'
+            if status == '是':
+                blocked.append(d)
+            elif status == '未匹配':
+                unmatched.append(d)
+            else:
+                passed.append(d)
+
+        ws.cell(row=rn, column=1, value='═══ 亏损筛选 ═══').font=Font(bold=True, size=12); rn+=2
+        rn = write_sec(ws, rn, '亏损拦截(客户亏损不发放)', blocked)
+        rn = write_sec(ws, rn, '未匹配亏损表(需人工确认)', unmatched)
+        rn = write_sec(ws, rn, '最终发放', passed)
+
+        total_考核 = sum(d['额'] for d in all_dl)
+        total_拦截 = sum(d['额'] for d in blocked)
+        total_未匹配 = sum(d['额'] for d in unmatched)
+        total_最终 = sum(d['额'] for d in passed)
+
+        ws.cell(row=rn, column=1, value='亏损筛选汇总').font=Font(bold=True, size=11); rn+=1
+        WR(ws, rn, ['考核应发合计', R(total_考核)]); rn+=1
+        WR(ws, rn, ['亏损拦截金额', R(total_拦截)]); rn+=1
+        WR(ws, rn, ['未匹配金额(待确认)', R(total_未匹配)]); rn+=1
+        WR(ws, rn, ['最终应发合计', R(total_最终)])
+        ws.cell(row=rn,column=1).font=Font(bold=True, size=12)
+        ws.cell(row=rn,column=2).font=Font(bold=True, size=12)
+
     AW(ws)
 
 # ============================================================
@@ -339,7 +409,7 @@ def write_salesperson_sheet(wb, person, dept, settle_month, D, G, month_data, ve
 # 新增：车辆考核追踪sheet
 # ============================================================
 
-def write_vehicle_tracking_sheet(wb, settle_month, G, master_vehicles, vehicle_payments, vehicle_info):
+def write_vehicle_tracking_sheet(wb, settle_month, G, master_vehicles, vehicle_payments, vehicle_info, loss_data=None, plate_client=None):
     ws = wb.create_sheet('车辆考核追踪')
     from calc_engine import VEHICLE_TARGET_MAP, DAYS
 
@@ -360,7 +430,11 @@ def write_vehicle_tracking_sheet(wb, settle_month, G, master_vehicles, vehicle_p
         headers += [f'{m}月应考核', f'{m}月实际', f'{m}月达标']
     if settle_month >= 2:
         headers += ['累计应完成','累计实际','累计达标']
-    headers += ['本月发放金额','发放类型','已发期数','已发金额','剩余期数']
+    if loss_data is not None:
+        headers += ['客户名称','客户是否亏损','考核应发','最终发放','未发放原因']
+    else:
+        headers += ['本月发放金额','发放类型']
+    headers += ['已发期数','已发金额','剩余期数']
     WH(ws, headers)
     ws.freeze_panes = 'H2'  # 冻结车辆信息+业务员列
 
@@ -445,12 +519,26 @@ def write_vehicle_tracking_sheet(wb, settle_month, G, master_vehicles, vehicle_p
 
             # 本月发放（该业务员的）
             tp = [p for p in pays if p['结算月'] == settle_month and p['业务员'] == person]
-            if tp:
+            考核应发 = sum(p['金额'] for p in tp) if tp else 0
-                amt = sum(p['金额'] for p in tp)
+            pay_types = ', '.join(p['类型'] for p in tp) if tp else ''
-                types = ', '.join(p['类型'] for p in tp)
+
-                row += [R(amt), types]
+            if loss_data is not None:
+                # 有亏损表：加客户名称、亏损状态、考核应发、最终发放、未发放原因
+                client = (plate_client or {}).get(plate, '')
+                loss_status = loss_data.get(client, '未匹配') if client else '未匹配'
+                if loss_status == '是':
+                    final_amt = 0
+                    reason = '客户亏损不发放' if 考核应发 > 0 else ''
+                elif loss_status == '未匹配':
+                    final_amt = 0
+                    reason = '未匹配亏损表' if 考核应发 > 0 else ''
                 else:
-                row += [0, '']
+                    final_amt = 考核应发
+                    reason = ''
+                row += [client, loss_status, R(考核应发), R(final_amt), reason]
+            else:
+                # 无亏损表：直接发放
+                row += [R(考核应发), pay_types]
 
             # 奖金池（整车，只在第一行显示）
             if pi == 0:

main.py

@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-"""按月生成独立Excel文件 - 里程考核绩效"""
+"""按月生成独立Excel文件 - 里程考核绩效（含亏损筛选）"""
 import os, openpyxl
 from calc_engine import *
 from excel_writer import *
@@ -23,6 +23,22 @@ mar_data = calc_mar(G[1], G[2], G[3], feb_data)
 vehicle_payments, vehicle_info = collect_vehicle_payments(G, feb_data, mar_data)
 master_vehicles = read_master_vehicles()
 
+# 亏损表
+print("\n读取亏损表...")
+loss_data = {}
+for m in [1,2,3]:
+    ld = read_loss_data(m)
+    if ld:
+        loss_clients = sum(1 for v in ld.values() if v == '是')
+        print(f"  {m}月: {len(ld)}个客户, 其中亏损{loss_clients}个")
+        loss_data[m] = ld
+    else:
+        print(f"  {m}月: 无亏损表")
+        loss_data[m] = None
+
+# 车牌→客户名称映射
+plate_client = get_vehicle_client_map(D)
+
 # 所有业务员
 all_persons = {}
 for m in G:
@@ -33,8 +49,8 @@ for m in G:
 jan_total = sum(r['奖金'] for r in D[1] if r['是否达标']=='达标')
 feb_total = sum(sum(d['额'] for d in v) for v in feb_data.values())
 mar_total = sum(sum(d['额'] for d in v) for v in mar_data.values())
-print(f"\n1月: {jan_total:.2f}, 2月: {feb_total:.2f}, 3月: {mar_total:.2f}")
+print(f"\n考核应发: 1月{jan_total:.2f}, 2月{feb_total:.2f}, 3月{mar_total:.2f}")
-print(f"Q1总计: {jan_total + feb_total + mar_total:.2f}")
+print(f"Q1考核应发合计: {jan_total + feb_total + mar_total:.2f}")
 
 # ============================================================
 # 按月生成
@@ -68,14 +84,14 @@ for settle_month in [1, 2, 3]:
 
     # Sheet 4: 汇总
     if settle_month == 1:
-        write_summary_jan(wb, D[1])
+        write_summary_jan(wb, D[1], loss_data[1], plate_client)
     elif settle_month == 2:
-        write_summary_month(wb, 2, feb_data, ['结转','补发1月','当月','累计补发2月'])
+        write_summary_month(wb, 2, feb_data, ['结转','补发1月','当月','累计补发2月'], loss_data[2], plate_client)
     else:
-        write_summary_month(wb, 3, mar_data, ['结转','补发1月','补发2月','当月','累计补发3月'])
+        write_summary_month(wb, 3, mar_data, ['结转','补发1月','补发2月','当月','累计补发3月'], loss_data[3], plate_client)
 
     # Sheet 5: 车辆考核追踪
-    write_vehicle_tracking_sheet(wb, settle_month, G, master_vehicles, vehicle_payments, vehicle_info)
+    write_vehicle_tracking_sheet(wb, settle_month, G, master_vehicles, vehicle_payments, vehicle_info, loss_data[settle_month], plate_client)
 
     # Sheet 6-17: 业务员
     for person in sorted(all_persons.keys()):