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

@@ -169,6 +169,57 @@ def collect_vehicle_payments(G, feb_data, mar_data):
         for i, r in enumerate(records): r['期数'] = i + 1
     return payments, info
 
+# (归属公司+车型) → 考核目标 映射，用于补全无考核记录的车辆
+VEHICLE_TARGET_MAP = {
+    ('广州开发区交投氢能运营管理有限公司', '4.5吨冷链车'): ('交投190辆4.5T冷链车', 3000, 150),
+    ('广州开发区交投氢能运营管理有限公司', '4.5吨货车'): ('交投40辆4.5T普货', 3000, 150),
+    ('羚牛氢能科技(广东)有限公司', '4.5吨冷链车'): ('羚牛136辆4.5T冷链车', 5000, 260),
+    ('羚牛氢能科技(广东)有限公司', '18吨双飞翼货车'): ('羚牛100辆18T', 6000, 1000),
+    ('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),
+    ('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)
 
 # ============================================================
@@ -186,7 +256,8 @@ def write_summary_month(wb, month, month_data, section_names):
 # ============================================================
 
 def write_salesperson_sheet(wb, person, dept, settle_month, D, G, month_data, vehicle_payments):
-    ws = wb.create_sheet(f'业务员_{person}')
+    short_dept = dept.replace('业务','') if '业务' in dept else dept
+    ws = wb.create_sheet(f'{short_dept}-{person}')
     ws.cell(row=1,column=1,value=f'{person} | {dept} | {settle_month}月绩效对账单').font=Font(bold=True,size=14)
 
     plates = set()
@@ -338,48 +409,218 @@ 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')
-    headers = ['车牌号','车架号','归属公司','车型','考核目标','月度奖励金额']
+    from calc_engine import VEHICLE_TARGET_MAP, DAYS
+
+    center_top = Alignment(horizontal='center', vertical='top', wrap_text=True)
+    left_top = Alignment(vertical='top', wrap_text=True)
+    green_font = Font(color='006100')
+    green_fill = PatternFill(start_color='C6EFCE', end_color='C6EFCE', fill_type='solid')
+    red_font = Font(color='9C0006')
+    red_fill = PatternFill(start_color='FFC7CE', end_color='FFC7CE', fill_type='solid')
+    grey_fill = PatternFill(start_color='F2F2F2', end_color='F2F2F2', fill_type='solid')
+    blue_fill = PatternFill(start_color='DAEEF3', end_color='DAEEF3', fill_type='solid')
+    gold_fill = PatternFill(start_color='FFF2CC', end_color='FFF2CC', fill_type='solid')
+
+    # 表头：基本信息 + 业务员 + 每月(应考核/实际/达标) + 累计 + 发放 + 奖金池
+    headers = ['车牌号','车架号','归属公司','车型','考核目标','月度奖励','业务员']
+    info_cols = 6  # 前6列是车辆信息（需要合并）
     for m in range(1, settle_month+1):
-        headers += [f'{m}月业务员',f'{m}月应考核',f'{m}月实际',f'{m}月达标']
+        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','发放给谁','发放类型','累计已发期数','累计已发金额','剩余可发期数']
+    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
+
+    # 交替行底色
+    stripe_a = PatternFill(start_color='FFFFFF', end_color='FFFFFF', fill_type='solid')  # 白
+    stripe_b = PatternFill(start_color='DCE6F1', end_color='DCE6F1', fill_type='solid')  # 浅蓝
+    vehicle_idx = 0
 
     rn = 2
     for mv in master_vehicles:
         plate = mv['车牌号']
         info = vehicle_info.get(plate, {})
         pays = vehicle_payments.get(plate, [])
-        row=[plate,mv.get('车架号',''),mv.get('归属公司',''),mv.get('车型确定',''),
-             info.get('考核目标',''),info.get('月度奖励',0) or '']
+
+        target_name = info.get('考核目标','')
+        monthly_bonus = info.get('月度奖励',0)
+        if not target_name:
+            company = mv.get('归属公司','')
+            vtype = mv.get('车型确定','')
+            mapped = VEHICLE_TARGET_MAP.get((company, vtype))
+            if mapped:
+                target_name, _, monthly_bonus = mapped
+
+        # 收集该车所有(业务员) - 跨月去重
+        person_set = {}
+        for m in range(1, settle_month+1):
+            for k,g in G.get(m, {}).items():
+                if k[0] == plate:
+                    person_set[k[1]] = g['部门']
+        persons = sorted(person_set.keys())
+        if not persons:
+            persons = ['']  # 无考核记录也占一行
+
+        row_stripe = stripe_b if vehicle_idx % 2 == 1 else stripe_a
+        start_rn = rn
+        for pi, person in enumerate(persons):
+            sd = person_set.get(person,'').replace('业务','') if person else ''
+            person_label = f'{sd}-{person}' if person and sd else person
+
+            # 车辆信息（只在第一行写，后面留空等合并）
+            if pi == 0:
+                row_base = [plate, mv.get('车架号',''), mv.get('归属公司',''),
+                           mv.get('车型确定',''), target_name or '', monthly_bonus or '']
+            else:
+                row_base = ['','','','','','']
+
+            row = row_base + [person_label]
+
+            # 每月数据（按该业务员的group）
             cum_t = 0; cum_a = 0
             for m in range(1, settle_month+1):
-            mgs=[(k,g) for k,g in G.get(m,{}).items() if k[0]==plate]
-            if mgs:
-                persons=', '.join(sorted(set(g['销售'] for _,g in mgs)))
-                ts=sum(g['应考核'] for _,g in mgs); As=sum(g['实际'] for _,g in mgs)
-                q='达标' if any(g['有达标'] for _,g in mgs) else '未达标'
-                cum_t+=ts; cum_a+=As
-                row+=[persons,R(ts),R(As),q]
+                gm = G.get(m, {}).get((plate, person)) if person else None
+                if gm:
+                    # 逐条记录汇总（同人同月可能多条）
+                    t_sum = gm['应考核']; a_sum = gm['实际']
+                    cum_t += t_sum; cum_a += a_sum
+                    # 每条记录的达标情况
+                    rec_details = []
+                    for rec in gm['recs']:
+                        rq = rec['是否达标'] == '达标'
+                        rec_details.append(f"{R(rec['实际行驶里程(km)'],0)}/{R(rec['应考核里程(km)'],0)}{'✓' if rq else '✗'}")
+                    all_q = all(rec['是否达标'] == '达标' for rec in gm['recs'])
+                    if len(gm['recs']) == 1:
+                        detail = rec_details[0].split('✓')[0].split('✗')[0]  # 只取数字
+                        row += [R(t_sum), R(a_sum), '✓' if all_q else '✗']
                     else:
-                row+=['','','','']
+                        # 多条：显示汇总，但单元格内注明各条
+                        row += [R(t_sum), R(a_sum), '\n'.join(rec_details)]
+                else:
+                    row += ['', '', '']
+
+            # 累计
             if settle_month >= 2:
-            row+=[R(cum_t),R(cum_a),'达标' if (cum_a>=cum_t and cum_t>0) else '未达标']
-
-        # 本月发放（截至settle_month）
-        tp=[p for p in pays if p['结算月']==settle_month]
-        if tp:
-            row+=[R(sum(p['金额'] for p in tp)),', '.join(sorted(set(p['业务员'] for p in tp))),
-                  ', '.join(sorted(set(p['类型'] for p in tp)))]
+                if cum_t > 0:
+                    cum_q = cum_a >= cum_t
+                    row += [R(cum_t), R(cum_a), '✓' if cum_q else '✗']
                 else:
-            row+=[0,'','']
+                    row += ['', '', '']
+                    cum_q = False
+            else:
+                cum_q = False
 
-        # 奖金池（截至settle_month）
+            # 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]
+            考核应发 = sum(p['金额'] for p in tp) if tp else 0
+            pay_types = ', '.join(p['类型'] for p in tp) if tp else ''
+
+            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:
+                    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:
                 pays_to_date = [p for p in pays if p['结算月'] <= settle_month]
                 tp_count = len(pays_to_date); tp_amt = sum(p['金额'] for p in pays_to_date)
-        row+=[tp_count,R(tp_amt) if tp_amt>0 else 0,12-tp_count]
-        WR(ws,rn,row); rn+=1
-    AW(ws)
+                row += [f'{tp_count}/12', R(tp_amt) if tp_amt > 0 else 0, 12 - tp_count]
+            else:
+                row += ['', '', '']
+
+            WR(ws, rn, row)
+
+            # 美化：先刷底色（交替色），再叠加特殊色
+            for ci in range(1, len(headers) + 1):
+                ws.cell(row=rn, column=ci).fill = row_stripe
+
+            # 车辆信息列灰底（覆盖条纹）
+            for ci in range(1, info_cols + 1):
+                ws.cell(row=rn, column=ci).fill = grey_fill if vehicle_idx % 2 == 0 else PatternFill(start_color='E8E8E8', end_color='E8E8E8', fill_type='solid')
+
+            # 月度达标列着色
+            for m in range(1, settle_month + 1):
+                col_base = info_cols + 1 + (m - 1) * 3  # 业务员列后面
+                qual_col = col_base + 3  # 达标列
+                cell = ws.cell(row=rn, column=qual_col)
+                cell.alignment = center_top
+                val = cell.value
+                if val and '✓' in str(val) and '✗' not in str(val):
+                    cell.fill = green_fill; cell.font = green_font
+                elif val and '✗' in str(val):
+                    cell.fill = red_fill; cell.font = red_font
+
+            # 累计达标着色
+            if settle_month >= 2:
+                cum_qual_col = info_cols + 1 + settle_month * 3 + 3  # 累计达标列
+                cell = ws.cell(row=rn, column=cum_qual_col)
+                if cell.value == '✓':
+                    cell.fill = green_fill; cell.font = Font(bold=True, color='006100')
+                elif cell.value == '✗':
+                    cell.fill = red_fill; cell.font = Font(bold=True, color='9C0006')
+
+            # 发放金底
+            pay_col = info_cols + 1 + settle_month * 3 + (3 if settle_month >= 2 else 0) + 1
+            if tp:
+                ws.cell(row=rn, column=pay_col).fill = gold_fill
+
+            # 奖金池蓝底
+            if pi == 0 and tp_count > 0:
+                pool_col = pay_col + 2
+                ws.cell(row=rn, column=pool_col).fill = blue_fill
+                ws.cell(row=rn, column=pool_col).font = Font(bold=True)
+
+            rn += 1
+
+        # 合并车辆信息列（如果多人）
+        if len(persons) > 1:
+            for ci in range(1, info_cols + 1):
+                ws.merge_cells(start_row=start_rn, start_column=ci,
+                              end_row=start_rn + len(persons) - 1, end_column=ci)
+                ws.cell(row=start_rn, column=ci).alignment = Alignment(vertical='center', wrap_text=True)
+            # 奖金池列也合并
+            for offset in [2, 3, 4]:  # 已发期数/已发金额/剩余期数
+                pool_col = pay_col + offset
+                ws.merge_cells(start_row=start_rn, start_column=pool_col,
+                              end_row=start_rn + len(persons) - 1, end_column=pool_col)
+
+        vehicle_idx += 1
+
+    # 列宽
+    # 隐藏BCD列（车架号/归属公司/车型）
+    for cl in ['B','C','D']:
+        ws.column_dimensions[cl].hidden = True
+    col_widths = {'A':12,'B':18,'C':18,'D':10,'E':18,'F':8,'G':14}
+    for cl, w in col_widths.items():
+        ws.column_dimensions[cl].width = w
+    # 月度列
+    start = ord('H')
+    for m in range(settle_month):
+        for i in range(3):
+            cl = chr(start + m*3 + i)
+            if cl <= 'Z': ws.column_dimensions[cl].width = 12
+    # 剩余列
+    rem = start + settle_month * 3
+    for i in range(10):
+        cl = chr(rem + i)
+        if cl <= 'Z': ws.column_dimensions[cl].width = 14

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"Q1总计: {jan_total + feb_total + 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考核应发合计: {jan_total + feb_total + mar_total:.2f}")
 
 # ============================================================
 # 按月生成
@@ -68,19 +84,19 @@ 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 5-16: 业务员
+    # Sheet 5: 车辆考核追踪
+    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()):
         write_salesperson_sheet(wb, person, all_persons[person], settle_month, D, G, month_data, vehicle_payments)
 
-    # Sheet 17: 车辆考核追踪
-    write_vehicle_tracking_sheet(wb, settle_month, G, master_vehicles, vehicle_payments, vehicle_info)
-
     # 删除默认空sheet
     if 'Sheet' in wb.sheetnames:
         del wb['Sheet']