V3.1.0 新增奖金发放记录sheet，汇总改为从发放记录生成

数据链路：车辆考核追踪 → 奖金发放记录 → 月汇总
- 奖金发放记录：逐条明细，含车牌/业务员/部门/客户/发放类型/考核应发/客户盈亏/亏损拦截/实发
- 亏损→红底，未匹配→黄底，正常发放→绿底
- 月汇总改为从发放记录SUM生成：考核应发→亏损筛选→最终发放
- 业务员列不带部门前缀（部门独立列）

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 +162,187 @@ 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 build_payment_records(month, month_data, loss_data, plate_client):
+    """构建奖金发放记录列表，每条考核应发一行，叠加亏损筛选"""
+    records = []
+    for cat, dl in month_data.items():
+        for d in dl:
+            client = (plate_client or {}).get(d['车牌'], '')
+            if loss_data:
+                loss_status = loss_data.get(client, '未匹配') if client else '未匹配'
+            else:
+                loss_status = '否'  # 无亏损表视为不亏损
+
+            考核应发 = d['额']
+            if loss_status == '是':
+                拦截 = 考核应发; 实发 = 0
+            elif loss_status == '未匹配' and loss_data:
+                拦截 = 考核应发; 实发 = 0
+            else:
+                拦截 = 0; 实发 = 考核应发
+
+            records.append({
+                '车牌号': d['车牌'],
+                '业务员': d['销售'],
+                '部门': d['部门'],
+                '客户名称': client,
+                '发放类型': cat,
+                '考核应发': 考核应发,
+                '客户盈亏': loss_status,
+                '亏损拦截': 拦截,
+                '实发金额': 实发,
+            })
+    return records
+
+def write_payment_record_sheet(wb, month, payment_records):
+    """写入奖金发放记录sheet"""
+    ws = wb.create_sheet(f'{month}月奖金发放记录')
+
+    headers = ['车牌号','业务员','部门','客户名称','发放类型',
+               '考核应发','客户盈亏','亏损拦截','实发金额']
+    WH(ws, headers)
+
+    green_fill = PatternFill(start_color='C6EFCE', end_color='C6EFCE', fill_type='solid')
+    red_fill = PatternFill(start_color='FFC7CE', end_color='FFC7CE', fill_type='solid')
+    yellow_fill = PatternFill(start_color='FFFFCC', end_color='FFFFCC', fill_type='solid')
+
+    rn = 2
+    for r in sorted(payment_records, key=lambda x: (x['业务员'], x['车牌号'])):
+        WR(ws, rn, [r['车牌号'], r['业务员'], r['部门'], r['客户名称'], r['发放类型'],
+                     R(r['考核应发']), r['客户盈亏'], R(r['亏损拦截']), R(r['实发金额'])])
+        # 颜色
+        if r['客户盈亏'] == '是':
+            for ci in [7, 8, 9]: ws.cell(row=rn, column=ci).fill = red_fill
+        elif r['客户盈亏'] == '未匹配':
+            for ci in [7, 8, 9]: ws.cell(row=rn, column=ci).fill = yellow_fill
+        elif r['实发金额'] > 0:
+            ws.cell(row=rn, column=9).fill = green_fill
+        rn += 1
+
+    # 合计行
+    total_应发 = sum(r['考核应发'] for r in payment_records)
+    total_拦截 = sum(r['亏损拦截'] for r in payment_records)
+    total_实发 = sum(r['实发金额'] for r in payment_records)
+    rn += 1
+    WR(ws, rn, ['', '', '', '', '合计', R(total_应发), '', R(total_拦截), R(total_实发)])
+    for ci in range(5, 10): ws.cell(row=rn, column=ci).font = Font(bold=True)
+
+    ws.auto_filter.ref = f"A1:I1"
+    AW(ws)
+    return payment_records
+
+def write_summary_from_records(wb, month, payment_records):
+    """从奖金发放记录生成月汇总"""
+    ws = wb.create_sheet(f'{month}月汇总')
+    rn = 1
+
+    # 按发放类型分section
+    by_type = defaultdict(list)
+    for r in payment_records:
+        by_type[r['发放类型']].append({'车牌':r['车牌号'],'销售':r['业务员'],'部门':r['部门'],'额':r['实发金额']})
+
+    # 考核应发（按类型）
+    ws.cell(row=rn, column=1, value='一、考核应发明细').font=Font(bold=True, size=12); rn+=2
+    by_type_应发 = defaultdict(list)
+    for r in payment_records:
+        by_type_应发[r['发放类型']].append({'车牌':r['车牌号'],'销售':r['业务员'],'部门':r['部门'],'额':r['考核应发']})
+    for cat in sorted(by_type_应发.keys()):
+        rn = write_sec(ws, rn, f'考核应发-{cat}', by_type_应发[cat])
+    total_应发 = sum(r['考核应发'] for r in payment_records)
+    WR(ws, rn, ['考核应发合计', '', R(total_应发)]); ws.cell(row=rn,column=1).font=Font(bold=True,size=11); rn+=2
+
+    # 亏损拦截
+    blocked = [r for r in payment_records if r['客户盈亏'] == '是' and r['考核应发'] > 0]
+    unmatched = [r for r in payment_records if r['客户盈亏'] == '未匹配' and r['考核应发'] > 0]
+    if blocked or unmatched:
+        ws.cell(row=rn, column=1, value='二、亏损筛选').font=Font(bold=True, size=12); rn+=2
+        if blocked:
+            bl_dl = [{'车牌':r['车牌号'],'销售':r['业务员'],'部门':r['部门'],'额':r['亏损拦截']} for r in blocked]
+            rn = write_sec(ws, rn, '亏损拦截(客户亏损不发放)', bl_dl)
+        if unmatched:
+            um_dl = [{'车牌':r['车牌号'],'销售':r['业务员'],'部门':r['部门'],'额':r['亏损拦截']} for r in unmatched]
+            rn = write_sec(ws, rn, '未匹配亏损表(需人工确认)', um_dl)
+        total_拦截 = sum(r['亏损拦截'] for r in payment_records)
+        WR(ws, rn, ['拦截合计', '', R(total_拦截)]); ws.cell(row=rn,column=1).font=Font(bold=True); rn+=2
+
+    # 最终发放（按销售人员）
+    ws.cell(row=rn, column=1, value='三、最终发放').font=Font(bold=True, size=12); rn+=2
+    passed = [r for r in payment_records if r['实发金额'] > 0]
+    passed_dl = [{'车牌':r['车牌号'],'销售':r['业务员'],'部门':r['部门'],'额':r['实发金额']} for r in passed]
+    rn = write_sec(ws, rn, '最终发放明细', passed_dl)
+
+    # 最终发放合计（按销售/按部门）
+    total_by_person = defaultdict(lambda: {'部门':'','额':0})
+    for r in passed:
+        total_by_person[r['业务员']]['额'] += r['实发金额']
+        total_by_person[r['业务员']]['部门'] = r['部门']
+
+    ws.cell(row=rn, column=1, value=f'{month}月最终发放（按销售人员）').font=Font(bold=True, size=11); rn+=1
+    WH(ws, ['销售人员','部门名称','最终发放'], rn); rn+=1
+    gt = 0
+    for p in sorted(total_by_person.keys()):
+        d = total_by_person[p]
+        WR(ws, rn, [p, d['部门'], R(d['额'])]); gt += d['额']; rn+=1
+    WR(ws, rn, ['合计','', R(gt)]); ws.cell(row=rn,column=1).font=hf; rn+=2
+
+    by_dept = defaultdict(float)
+    for p, d in total_by_person.items(): by_dept[d['部门']] += d['额']
+    ws.cell(row=rn, column=1, value=f'{month}月最终发放（按部门）').font=Font(bold=True, size=11); rn+=1
+    WH(ws, ['部门名称','最终发放'], rn); rn+=1
+    for dept in sorted(by_dept.keys()):
+        WR(ws, rn, [dept, R(by_dept[dept])]); rn+=1
+    WR(ws, rn, ['合计', R(gt)]); ws.cell(row=rn,column=1).font=hf; rn+=2
+
+    # 汇总数字
+    total_实发 = sum(r['实发金额'] for r in payment_records)
+    total_拦截 = sum(r['亏损拦截'] for r in payment_records)
+    ws.cell(row=rn, column=1, value='总览').font=Font(bold=True, size=12); rn+=1
+    WR(ws, rn, ['考核应发', R(total_应发)]); rn+=1
+    WR(ws, rn, ['亏损拦截', R(total_拦截)]); rn+=1
+    WR(ws, rn, ['最终发放', R(total_实发)]); 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)
+
+# 保留旧函数兼容（3月无亏损表时使用）
+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 +351,47 @@ 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 +399,8 @@ 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 +552,218 @@ 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
@@ -66,21 +82,20 @@ for settle_month in [1, 2, 3]:
     else:
         write_calc_process_mar(wb, G[1], G[2], G[3], feb_data)
 
-    # Sheet 4: 汇总
-    if settle_month == 1:
-        write_summary_jan(wb, D[1])
-    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'])
-    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'])
+    # 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 5-16: 业务员
+    # Sheet 6: 奖金发放记录（叠加亏损筛选的逐条明细）
+    payment_records = build_payment_records(settle_month, month_data, loss_data[settle_month], plate_client)
+    write_payment_record_sheet(wb, settle_month, payment_records)
+
+    # Sheet 7: 月汇总（从发放记录生成）
+    write_summary_from_records(wb, settle_month, payment_records)
+
+    # 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']