6 Commits

Author SHA1 Message Date
kkfluous
e814013320 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>
2026-04-03 09:14:37 +08:00
kkfluous
26361f3a95 fix: 交替行底色改为白/浅蓝,对比更明显
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-02 17:27:21 +08:00
kkfluous
bdbc3e4273 feat: 车辆追踪交替行底色(按车牌分组换色)
奇数车牌白底,偶数车牌浅灰底,多人同车保持同色。
车辆信息列用更深的灰色区分。达标/发放等特殊颜色覆盖底色。

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-02 17:26:40 +08:00
kkfluous
1ca2657f75 feat: 车辆追踪隐藏BCD列(车架号/归属公司/车型)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-02 17:15:58 +08:00
kkfluous
5a69ef2993 V2.5.0 车辆追踪:多业务员拆行+车牌合并单元格
- 每个(车牌+业务员)独立一行,各自有独立的月度里程和累计
- 同车多人时车牌/车架号/归属公司等信息列合并单元格
- 奖金池(已发期数/金额/剩余)也合并(整车共享)
- 月度数据拆为应考核/实际/达标三列,不再挤在一个单元格
- 同人多条记录在达标列内换行显示各条

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-02 17:13:00 +08:00
kkfluous
04b6035d52 fix: 车辆追踪同人多条记录逐条显示,不合并里程
之前同人多条记录合并为一个总里程/总目标,但达标标记取"任一达标",
导致总里程<总目标却显示✓(如粤AGE4080: 1824/1839 ✓)。
改为每条记录独立显示里程/目标/达标,避免误导。
月度颜色也改为"全部达标才绿,否则红"。

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-02 17:09:21 +08:00
3 changed files with 312 additions and 114 deletions

View File

@@ -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), ('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: ''/''} 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'): 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""" """从现有Q1汇总文件读取全量车辆台账"""
wb = openpyxl.load_workbook(fp, data_only=True) wb = openpyxl.load_workbook(fp, data_only=True)

View File

@@ -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 c5,R(cbp3) if cbp3>0 else 0,R(total) if total>0 else 0]); rn+=1
AW(ws) 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') 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'],'':r['奖金']} for r in records if r['是否达标']=='达标'] jan_dl=[{'车牌':r['车牌号'],'销售':r['销售经理'],'部门':r['部门名称'],'':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 == '':
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[''] for d in jan_dl)
total_拦截 = sum(d[''] for d in blocked)
total_未匹配 = sum(d[''] for d in unmatched)
total_最终 = sum(d[''] 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}) write_total(ws,rn,1,{'达标':jan_dl})
AW(ws) 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') ws = wb.create_sheet(f'{month}月汇总')
rn=1 rn=1
for i,cat in enumerate(section_names): for i,cat in enumerate(section_names):
@@ -178,7 +208,47 @@ def write_summary_month(wb, month, month_data, section_names):
'当月':f'{"" if month==2 else ""}{month}月当月奖励', '当月':f'{"" if month==2 else ""}{month}月当月奖励',
f'累计补发{month}':f'{"" if month==2 else ""}、累计达标补发{month}'} f'累计补发{month}':f'{"" if month==2 else ""}、累计达标补发{month}'}
rn=write_sec(ws,rn,label_map.get(cat,cat),month_data.get(cat,[])) 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) 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 == '':
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[''] for d in all_dl)
total_拦截 = sum(d[''] for d in blocked)
total_未匹配 = sum(d[''] for d in unmatched)
total_最终 = sum(d[''] 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) AW(ws)
# ============================================================ # ============================================================
@@ -339,13 +409,12 @@ def write_salesperson_sheet(wb, person, dept, settle_month, D, G, month_data, ve
# 新增车辆考核追踪sheet # 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') ws = wb.create_sheet('车辆考核追踪')
from calc_engine import VEHICLE_TARGET_MAP from calc_engine import VEHICLE_TARGET_MAP, DAYS
wrap_top = Alignment(wrap_text=True, vertical='top') center_top = Alignment(horizontal='center', vertical='top', wrap_text=True)
center_top = Alignment(horizontal='center', vertical='top') left_top = Alignment(vertical='top', wrap_text=True)
# 颜色
green_font = Font(color='006100') green_font = Font(color='006100')
green_fill = PatternFill(start_color='C6EFCE', end_color='C6EFCE', fill_type='solid') green_fill = PatternFill(start_color='C6EFCE', end_color='C6EFCE', fill_type='solid')
red_font = Font(color='9C0006') red_font = Font(color='9C0006')
@@ -354,20 +423,25 @@ def write_vehicle_tracking_sheet(wb, settle_month, G, master_vehicles, vehicle_p
blue_fill = PatternFill(start_color='DAEEF3', end_color='DAEEF3', 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') gold_fill = PatternFill(start_color='FFF2CC', end_color='FFF2CC', fill_type='solid')
# 表头 # 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'] headers = ['车牌号','车架号','归属公司','车型','考核目标','月度奖励','业务员']
month_start_col = len(headers) # 月度考核开始列(0-indexed) info_cols = 6 # 前6列是车辆信息需要合并
for m in range(1, settle_month+1): for m in range(1, settle_month+1):
headers.append(f'{m}月考核明细') headers += [f'{m}考核', f'{m}月实际', f'{m}月达标']
cum_start_col = len(headers)
if settle_month >= 2: if settle_month >= 2:
headers += ['累计里程/目标','累计达标'] headers += ['累计应完成','累计实际','累计达标']
pay_start_col = len(headers) if loss_data is not None:
headers += ['本月发放明细','已发期数','已发金额','剩余期数'] 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) WH(ws, headers)
ws.freeze_panes = 'H2' # 冻结车辆信息+业务员列
# 冻结首行+首列 # 交替行底色
ws.freeze_panes = 'B2' 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 rn = 2
for mv in master_vehicles: for mv in master_vehicles:
@@ -384,102 +458,169 @@ def write_vehicle_tracking_sheet(wb, settle_month, G, master_vehicles, vehicle_p
if mapped: if mapped:
target_name, _, monthly_bonus = mapped target_name, _, monthly_bonus = mapped
row=[plate,mv.get('车架号',''),mv.get('归属公司',''),mv.get('车型确定',''), # 收集该车所有(业务员) - 跨月去重
target_name or '',monthly_bonus or ''] person_set = {}
cum_t=0; cum_a=0
month_qualified = {} # {月份: bool}
for m in range(1, settle_month+1): for m in range(1, settle_month+1):
mgs=[(k,g) for k,g in G.get(m,{}).items() if k[0]==plate] for k,g in G.get(m, {}).items():
if mgs: if k[0] == plate:
lines = [] person_set[k[1]] = g['部门']
any_q = False persons = sorted(person_set.keys())
for _,g in sorted(mgs, key=lambda x: x[0][1]): if not persons:
t=g['应考核']; a=g['实际'] persons = [''] # 无考核记录也占一行
cum_t+=t; cum_a+=a
q = g['有达标']
if q: any_q = True
sd = g['部门'].replace('业务','') if '业务' in g.get('部门','') else g.get('部门','')
lines.append(f"{sd}-{g['销售']}: {R(a,0)}/{R(t,0)} {'' if q else ''}")
row.append('\n'.join(lines))
month_qualified[m] = any_q
else:
row.append('')
month_qualified[m] = None # 无数据
cum_q = False 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):
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:
# 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: if settle_month >= 2:
cum_q = cum_a>=cum_t and cum_t>0 if cum_t > 0:
row+=[f'{R(cum_a,0)}/{R(cum_t,0)}', '✓ 达标' if cum_q else '✗ 未达标'] cum_q = cum_a >= cum_t
row += [R(cum_t), R(cum_a), '' if cum_q else '']
# 本月发放
tp=[p for p in pays if p['结算月']==settle_month]
if tp:
pay_lines = []
for p in sorted(tp, key=lambda x: x['业务员']):
pd = p.get('部门','').replace('业务','') if '业务' in p.get('部门','') else p.get('部门','')
pay_lines.append(f"{pd}-{p['业务员']}: {R(p['金额'])}元 ({p['类型']})")
row.append('\n'.join(pay_lines))
else: else:
row.append('') row += ['', '', '']
cum_q = False
else:
cum_q = False
# 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 == '':
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] 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) tp_count = len(pays_to_date); tp_amt = sum(p['金额'] for p in pays_to_date)
row += [f'{tp_count}/12', R(tp_amt) if tp_amt > 0 else 0, 12 - tp_count] row += [f'{tp_count}/12', R(tp_amt) if tp_amt > 0 else 0, 12 - tp_count]
else:
row += ['', '', '']
WR(ws, rn, row) WR(ws, rn, row)
# --- 美化 --- # 美化:先刷底色(交替色),再叠加特殊色
# 车辆基本信息列:浅灰底色 for ci in range(1, len(headers) + 1):
for ci in range(1, month_start_col+1): ws.cell(row=rn, column=ci).fill = row_stripe
ws.cell(row=rn, column=ci).fill = grey_fill
# 月度考核列:达标绿底/未达标红底 # 车辆信息列灰底(覆盖条纹)
for mi, m in enumerate(range(1, settle_month+1)): for ci in range(1, info_cols + 1):
col = month_start_col + mi + 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')
cell = ws.cell(row=rn, column=col)
cell.alignment = wrap_top # 月度达标列着色
if month_qualified.get(m) == True: 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 cell.fill = green_fill; cell.font = green_font
elif month_qualified.get(m) == False: elif val and '' in str(val):
cell.fill = red_fill; cell.font = red_font cell.fill = red_fill; cell.font = red_font
# 累计 # 累计达标着色
if settle_month >= 2: if settle_month >= 2:
cum_cell = ws.cell(row=rn, column=cum_start_col+2) # 累计达标列 cum_qual_col = info_cols + 1 + settle_month * 3 + 3 # 累计达标列
if cum_q: cell = ws.cell(row=rn, column=cum_qual_col)
cum_cell.fill = green_fill; cum_cell.font = Font(bold=True, color='006100') if cell.value == '':
elif cum_t > 0: cell.fill = green_fill; cell.font = Font(bold=True, color='006100')
cum_cell.fill = red_fill; cum_cell.font = Font(bold=True, color='9C0006') elif cell.value == '':
cell.fill = red_fill; cell.font = Font(bold=True, color='9C0006')
# 发放列:有发放金底 # 发放金底
pay_cell = ws.cell(row=rn, column=pay_start_col+1) pay_col = info_cols + 1 + settle_month * 3 + (3 if settle_month >= 2 else 0) + 1
pay_cell.alignment = wrap_top
if tp: if tp:
pay_cell.fill = gold_fill ws.cell(row=rn, column=pay_col).fill = gold_fill
# 奖金池:已发期数列 # 奖金池蓝底
period_cell = ws.cell(row=rn, column=pay_start_col+2) if pi == 0 and tp_count > 0:
period_cell.alignment = center_top pool_col = pay_col + 2
if tp_count > 0: ws.cell(row=rn, column=pool_col).fill = blue_fill
period_cell.fill = blue_fill; period_cell.font = Font(bold=True) ws.cell(row=rn, column=pool_col).font = Font(bold=True)
rn += 1 rn += 1
# 列宽 # 合并车辆信息列(如果多人)
col_widths = {'A':12,'B':20,'C':20,'D':12,'E':20,'F':8} if len(persons) > 1:
for col_letter, w in col_widths.items(): for ci in range(1, info_cols + 1):
ws.column_dimensions[col_letter].width = w ws.merge_cells(start_row=start_rn, start_column=ci,
# 月度考核列宽 end_row=start_rn + len(persons) - 1, end_column=ci)
for mi in range(settle_month): ws.cell(row=start_rn, column=ci).alignment = Alignment(vertical='center', wrap_text=True)
col_letter = chr(ord('G') + mi) # 奖金池列也合并
ws.column_dimensions[col_letter].width = 30 for offset in [2, 3, 4]: # 已发期数/已发金额/剩余期数
# 剩余列自动 pool_col = pay_col + offset
remaining_start = ord('G') + settle_month ws.merge_cells(start_row=start_rn, start_column=pool_col,
for i in range(8): end_row=start_rn + len(persons) - 1, end_column=pool_col)
cl = chr(remaining_start + i)
if cl <= 'Z':
ws.column_dimensions[cl].width = 16
# 自动筛选 vehicle_idx += 1
ws.auto_filter.ref = f"A1:{chr(ord('A')+len(headers)-1)}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

30
main.py
View File

@@ -1,5 +1,5 @@
#!/usr/bin/env python3 #!/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 import os, openpyxl
from calc_engine import * from calc_engine import *
from excel_writer 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) vehicle_payments, vehicle_info = collect_vehicle_payments(G, feb_data, mar_data)
master_vehicles = read_master_vehicles() 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 == '')
print(f" {m}月: {len(ld)}个客户, 其中亏损{loss_clients}")
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 # 所有业务员
all_persons = {} all_persons = {}
for m in G: 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') jan_total = sum(r['奖金'] for r in D[1] if r['是否达标']=='达标')
feb_total = sum(sum(d[''] for d in v) for v in feb_data.values()) feb_total = sum(sum(d[''] for d in v) for v in feb_data.values())
mar_total = sum(sum(d[''] for d in v) for v in mar_data.values()) mar_total = sum(sum(d[''] 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 # 按月生成
@@ -68,14 +84,14 @@ for settle_month in [1, 2, 3]:
# Sheet 4: 汇总 # Sheet 4: 汇总
if settle_month == 1: 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: 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: 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 # 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 # Sheet 6-17: 业务员
for person in sorted(all_persons.keys()): for person in sorted(all_persons.keys()):