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V2.5.0 车辆追踪：多业务员拆行+车牌合并单元格

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- 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>
This commit is contained in:
kkfluous
2026-04-02 17:13:00 +08:00
parent 04b6035d52
commit 5a69ef2993
1 changed files with 143 additions and 106 deletions
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217
excel_writer.py
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@@ -341,11 +341,10 @@ def write_salesperson_sheet(wb, person, dept, settle_month, D, G, month_data, ve
def write_vehicle_tracking_sheet(wb, settle_month, G, master_vehicles, vehicle_payments, vehicle_info):
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')
# 颜色
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')
@@ -354,20 +353,16 @@ 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')
gold_fill = PatternFill(start_color='FFF2CC', end_color='FFF2CC', fill_type='solid')
# 表头
headers = ['车牌号','车架号','归属公司','车型','考核目标','月度奖励']
month_start_col = len(headers) # 月度考核开始列(0-indexed)
# 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.append(f'{m}月考核明细')
cum_start_col = len(headers)
headers += [f'{m}月应考核', f'{m}月实际', f'{m}月达标']
if settle_month >= 2:
headers += ['累计里程/目标','累计达标']
pay_start_col = len(headers)
headers += ['本月发放明细','已发期数','已发金额','剩余期数']
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']
WH(ws, headers)
# 冻结首行+首列
ws.freeze_panes = 'B2'
ws.freeze_panes = 'H2' # 冻结车辆信息+业务员列
rn = 2
for mv in master_vehicles:
@@ -384,104 +379,146 @@ def write_vehicle_tracking_sheet(wb, settle_month, G, master_vehicles, vehicle_p
if 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',''),
target_name or '',monthly_bonus or '']
cum_t=0; cum_a=0
month_qualified = {} # {月份: bool} - 所有记录都达标才算True
# 收集该车所有(业务员) - 跨月去重
person_set = {}
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:
lines = []
all_q = True # 是否全部达标
for _,g in sorted(mgs, key=lambda x: x[0][1]):
cum_t+=g['应考核']; cum_a+=g['实际']
sd = g['部门'].replace('业务','') if '业务' in g.get('部门','') else g.get('部门','')
# 逐条记录显示，不合并
for rec in g['recs']:
rt=rec['应考核里程(km)']; ra=rec['实际行驶里程(km)']
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
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'
if not rq: all_q = False
lines.append(f"{sd}-{g['销售']}: {R(ra,0)}/{R(rt,0)} {'✓' if rq else '✗'}")
row.append('\n'.join(lines))
month_qualified[m] = all_q
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.append('')
month_qualified[m] = None
# 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 += ['', '', '']
cum_q = False
# 累计
if settle_month >= 2:
cum_q = cum_a>=cum_t and cum_t>0
row+=[f'{R(cum_a,0)}/{R(cum_t,0)}', '✓ 达标' if cum_q else '✗ 未达标']
# 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))
if cum_t > 0:
cum_q = cum_a >= cum_t
row += [R(cum_t), R(cum_a), '✓' if cum_q 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]
if tp:
amt = sum(p['金额'] for p in tp)
types = ', '.join(p['类型'] for p in tp)
row += [R(amt), types]
else:
row += [0, '']
# 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 += [f'{tp_count}/12', R(tp_amt) if tp_amt > 0 else 0, 12 - tp_count]
else:
row += ['', '', '']
WR(ws, rn, row)
# --- 美化 ---
# 车辆基本信息列：浅灰底色
for ci in range(1, month_start_col+1):
# 美化
# 车辆信息列灰底
for ci in range(1, info_cols + 1):
ws.cell(row=rn, column=ci).fill = grey_fill
# 月度考核列：达标绿底/未达标红底
for mi, m in enumerate(range(1, settle_month+1)):
col = month_start_col + mi + 1
cell = ws.cell(row=rn, column=col)
cell.alignment = wrap_top
if month_qualified.get(m) == True:
# 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 month_qualified.get(m) == False:
elif val and '✗' in str(val):
cell.fill = red_fill; cell.font = red_font
# 累计列
# 累计达标着色
if settle_month >= 2:
cum_cell = ws.cell(row=rn, column=cum_start_col+2) # 累计达标列
if cum_q:
cum_cell.fill = green_fill; cum_cell.font = Font(bold=True, color='006100')
elif cum_t > 0:
cum_cell.fill = red_fill; cum_cell.font = Font(bold=True, color='9C0006')
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')
# 发放列：有发放金底
pay_cell = ws.cell(row=rn, column=pay_start_col+1)
pay_cell.alignment = wrap_top
# 发放金底
pay_col = info_cols + 1 + settle_month * 3 + (3 if settle_month >= 2 else 0) + 1
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
period_cell = ws.cell(row=rn, column=pay_start_col+2)
period_cell.alignment = center_top
if tp_count > 0:
period_cell.fill = blue_fill; period_cell.font = Font(bold=True)
# 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
# 列宽
col_widths = {'A':12,'B':20,'C':20,'D':12,'E':20,'F':8}
for col_letter, w in col_widths.items():
ws.column_dimensions[col_letter].width = w
# 月度考核列宽
for mi in range(settle_month):
col_letter = chr(ord('G') + mi)
ws.column_dimensions[col_letter].width = 30
# 剩余列自动
remaining_start = ord('G') + settle_month
for i in range(8):
cl = chr(remaining_start + i)
if cl <= 'Z':
ws.column_dimensions[cl].width = 16
# 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)
# 自动筛选
ws.auto_filter.ref = f"A1:{chr(ord('A')+len(headers)-1)}1"
# 列宽
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