chore: curate monthly assessment evidence and scripts
This commit is contained in:
kkfluous
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#!/usr/bin/env python3
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"""Generate 租赁任务考核_2026年5月_干预情况说明.xlsx — GPS干预后的完整说明"""
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import os, openpyxl
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from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
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from openpyxl.utils import get_column_letter
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from collections import defaultdict
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os.chdir('/Users/kkfluous/Downloads')
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SRC = '租赁任务考核_2026年5月.xlsx'
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BAK = '租赁任务考核_2026年5月_原版备份.xlsx'
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INTV = '标黄为5月干预车辆.xlsx'
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# Styles
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HEAD = PatternFill('solid', fgColor='4472C4')
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HFONT = Font(bold=True, color='FFFFFF', size=10)
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SUB = PatternFill('solid', fgColor='D9E1F2')
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ALT = PatternFill('solid', fgColor='F2F2F2')
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TITLE_FONT = Font(bold=True, size=14)
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SEC_FONT = Font(bold=True, size=12, color='1F4E78')
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NOTE_FONT = Font(size=10)
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BOLD_FONT = Font(bold=True, size=10)
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RED_FONT = Font(size=10, color='C00000')
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BORD = Border(Side('thin','B4B4B4'), Side('thin','B4B4B4'), Side('thin','B4B4B4'), Side('thin','B4B4B4'))
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CC = Alignment(horizontal='center', vertical='center', wrap_text=True)
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LL = Alignment(horizontal='left', vertical='center', wrap_text=True)
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# ── Load intervention plates ──
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wb_i = openpyxl.load_workbook(INTV)
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ws_i = wb_i['Sheet1']
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yellow_plates = set()
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for row in ws_i.iter_rows(min_row=2, values_only=False):
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cell = row[0]
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fill = cell.fill
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is_yellow = (fill and fill.patternType == 'solid' and fill.start_color
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and fill.start_color.rgb and 'FFFF00' in str(fill.start_color.rgb))
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if is_yellow:
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p = str(cell.value).strip() if cell.value else ''
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if p:
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yellow_plates.add(p)
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wb_i.close()
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# ── Load source (post-intervention) and backup (pre-intervention) ──
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def load_records(fp):
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wb = openpyxl.load_workbook(fp, data_only=True)
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ws = wb['业务考核视图']
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h = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
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recs = []
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for row in ws.iter_rows(min_row=2, values_only=True):
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if row[0]:
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recs.append(dict(zip(h, row)))
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wb.close()
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return recs
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src_recs = load_records(SRC)
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bak_recs = load_records(BAK)
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# Build plate -> {backup rec, source rec}
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bak_by_plate = {}
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for r in bak_recs:
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p = str(r['车牌号']).strip()
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# For duplicate plates, keep last
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key = (p, str(r.get('销售经理','')), str(r.get('项目名称','')))
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bak_by_plate[key] = r
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src_by_plate = {}
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for r in src_recs:
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p = str(r['车牌号']).strip()
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key = (p, str(r.get('销售经理','')), str(r.get('项目名称','')))
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src_by_plate[key] = r
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# ── Analyze intervention impact ──
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# For each source record that's an intervention vehicle, find its backup
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intv_records = []
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for key, sr in src_by_plate.items():
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p = key[0]
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if p not in yellow_plates:
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continue
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br = bak_by_plate.get(key)
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tbox = sr.get('原TBOX里程(km)')
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gps = sr.get('实际行驶里程(km)')
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test = sr.get('测试里程(km)')
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old_actual = float(br['实际行驶里程(km)'] or 0) if br else 0
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old_pass = str(br['是否达标']).strip() if br else '?'
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new_pass = str(sr['是否达标']).strip() if sr else '?'
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target = float(sr.get('应考核里程(km)', 0) or 0)
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tbox_val = float(tbox or 0)
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gps_val = float(gps or 0)
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test_val = float(test or 0)
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flip = ''
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if old_pass == '达标' and new_pass == '未达标':
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flip = '达→未达标'
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elif old_pass == '未达标' and new_pass == '达标':
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flip = '未→达标'
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has_gps = '有' if gps_val > 0 else '无GPS数据'
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intv_records.append({
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'plate': p, 'dept': sr.get('部门名称', ''), 'sales': sr.get('销售经理', ''),
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'client': sr.get('客户名称', ''), 'target_name': sr.get('考核目标', ''),
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'target_km': target, 'old_actual': old_actual, 'tbox': tbox_val,
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'gps': gps_val, 'test': test_val, 'old_pass': old_pass, 'new_pass': new_pass,
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'flip': flip, 'has_gps': has_gps
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})
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print(f"Intervention records: {len(intv_records)}")
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flip_down = [r for r in intv_records if r['flip'] == '达→未达标']
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flip_up = [r for r in intv_records if r['flip'] == '未→达标']
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no_gps = [r for r in intv_records if r['gps'] == 0]
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print(f"达→未达标: {len(flip_down)}, 未→达标: {len(flip_up)}, 无GPS: {len(no_gps)}")
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# ── Intervention vehicles by target type ──
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by_target = defaultdict(list)
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for r in intv_records:
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by_target[r['target_name']].append(r)
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# ── Generate workbook ──
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wb = openpyxl.Workbook()
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def style_header(ws, row, ncols):
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for c in range(1, ncols+1):
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cell = ws.cell(row=row, column=c)
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cell.fill = HEAD; cell.font = HFONT; cell.alignment = CC; cell.border = BORD
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def style_row(ws, row, ncols, alt=False):
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for c in range(1, ncols+1):
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cell = ws.cell(row=row, column=c)
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cell.border = BORD; cell.font = Font(size=10); cell.alignment = CC
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if alt: cell.fill = ALT
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# ── Sheet 1: 测试与考核情况说明 ──
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ws1 = wb.active
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ws1.title = '测试与考核情况说明'
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ws1.sheet_properties.tabColor = '4472C4'
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ws1.merge_cells('A1:H1')
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ws1.cell(row=1, column=1, value='2026年5月 业务考核 — GPS干预与考核情况说明').font = TITLE_FONT
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ws1.cell(row=1, column=1).alignment = CC
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ws1.row_dimensions[1].height = 32
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desc = (
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f'5月共计{len(src_recs)}条考核记录，其中{len(yellow_plates)}辆车/{len(intv_records)}条记录涉及GPS里程干预。\n'
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'干预规则：对于标黄车辆，使用G7平台GPS每日里程（考核期内逐日累加）替代原仪表盘里程作为实际行驶里程参与考核。\n'
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f'GPS数据来源：hydrogen_energy.ln_vehicle_g7_mileage（101.133.130.65），按考核起止时间汇总每日total_mileage/100000=km。\n'
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f'干预结果：{len(flip_down)}条由达标翻转为未达标，{len(flip_up)}条由未达标翻转为达标，{len(no_gps)}条车辆无GPS数据（里程记为0）。'
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)
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ws1.merge_cells('A2:H2')
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ws1.cell(row=2, column=1, value=desc).font = NOTE_FONT
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ws1.cell(row=2, column=1).alignment = Alignment(horizontal='left', vertical='top', wrap_text=True)
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ws1.row_dimensions[2].height = 80
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r = 4
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ws1.merge_cells(start_row=r, start_column=1, end_row=r, end_column=8)
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ws1.cell(row=r, column=1, value='一、5月考核概况（GPS干预后）').font = SEC_FONT
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r += 1
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# Summary table
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summary_headers = ['指标', '干预前', '干预后', '变化']
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for c, h in enumerate(summary_headers, 1):
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ws1.cell(row=r, column=c, value=h)
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style_header(ws1, r, 4)
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r += 1
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old_pass_count = sum(1 for r in bak_recs if str(r.get('是否达标','')).strip() == '达标')
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new_pass_count = sum(1 for r in src_recs if str(r.get('是否达标','')).strip() == '达标')
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old_fail = len(bak_recs) - old_pass_count
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new_fail = len(src_recs) - new_pass_count
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summary_rows = [
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('考核记录数(条)', len(bak_recs), len(src_recs), ''),
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('达标记录数(条)', old_pass_count, new_pass_count, f'{new_pass_count - old_pass_count:+d}'),
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('未达标记录数(条)', old_fail, new_fail, f'{new_fail - old_fail:+d}'),
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('达标率', f'{old_pass_count/len(bak_recs)*100:.1f}%', f'{new_pass_count/len(src_recs)*100:.1f}%', ''),
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('干预车辆数', len(yellow_plates), len(yellow_plates), ''),
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('涉及考核记录', len(intv_records), len(intv_records), ''),
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('有GPS数据', '', sum(1 for r in intv_records if r['gps'] > 0), ''),
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('无GPS数据(里程=0)', '', len(no_gps), ''),
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]
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for row_data in summary_rows:
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for c, val in enumerate(row_data, 1):
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ws1.cell(row=r, column=c, value=val)
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style_row(ws1, r, 4)
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r += 1
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r += 1
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ws1.merge_cells(start_row=r, start_column=1, end_row=r, end_column=8)
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ws1.cell(row=r, column=1, value='二、干预车型达标翻转统计').font = SEC_FONT
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r += 1
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# By target type
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flip_headers = ['考核目标', '干预车辆数', '达→未达标', '未→达标', '有GPS数据', '无GPS数据']
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for c, h in enumerate(flip_headers, 1):
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ws1.cell(row=r, column=c, value=h)
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style_header(ws1, r, 6)
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r += 1
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# Sort: most affected first
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target_order = sorted(by_target.keys(), key=lambda t: -len(by_target[t]))
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for i, tgt in enumerate(target_order):
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recs = by_target[tgt]
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ws1.cell(row=r, column=1, value=tgt)
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ws1.cell(row=r, column=2, value=len(recs))
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ws1.cell(row=r, column=3, value=sum(1 for x in recs if x['flip'] == '达→未达标'))
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ws1.cell(row=r, column=4, value=sum(1 for x in recs if x['flip'] == '未→达标'))
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ws1.cell(row=r, column=5, value=sum(1 for x in recs if x['gps'] > 0))
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ws1.cell(row=r, column=6, value=sum(1 for x in recs if x['gps'] == 0))
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style_row(ws1, r, 6, alt=(i%2==1))
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r += 1
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col_widths1 = [14, 15, 15, 15, 18, 18, 18, 18]
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for i, w in enumerate(col_widths1, 1):
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ws1.column_dimensions[get_column_letter(i)].width = w
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# ── Sheet 2: 干预车辆明细 ──
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ws2 = wb.create_sheet('干预车辆明细')
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ws2.sheet_properties.tabColor = 'ED7D31'
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ws2.merge_cells('A1:N1')
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ws2.cell(row=1, column=1, value='5月干预车辆 — 原仪表盘里程 vs GPS里程 逐条对比').font = TITLE_FONT
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ws2.cell(row=1, column=1).alignment = CC
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ws2.row_dimensions[1].height = 28
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detail_headers = ['车牌号', '部门', '销售经理', '客户名称', '考核目标',
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'考核天数', '应考核里程(km)', '原仪表盘里程(km)', 'GPS行驶里程(km)',
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'测试里程(km)', '原是否达标', '干预后达标', '翻转', 'GPS数据']
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r2 = 3
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for c, h in enumerate(detail_headers, 1):
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ws2.cell(row=r2, column=c, value=h)
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style_header(ws2, r2, 14)
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r2 += 1
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# Sort: flip-down first, then no-GPS, then others
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intv_records.sort(key=lambda r: (0 if r['flip'] == '达→未达标' else 1 if r['gps'] == 0 else 2, r['plate']))
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for i, rec in enumerate(intv_records):
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ws2.cell(row=r2, column=1, value=rec['plate'])
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ws2.cell(row=r2, column=2, value=rec['dept'])
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ws2.cell(row=r2, column=3, value=rec['sales'])
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ws2.cell(row=r2, column=4, value=rec['client'])
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ws2.cell(row=r2, column=5, value=rec['target_name'])
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ws2.cell(row=r2, column=6, value=rec.get('days', ''))
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ws2.cell(row=r2, column=7, value=round(rec['target_km'], 2))
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ws2.cell(row=r2, column=8, value=round(rec['tbox'], 2))
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ws2.cell(row=r2, column=9, value=round(rec['gps'], 2))
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ws2.cell(row=r2, column=10, value=round(rec['test'], 2))
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ws2.cell(row=r2, column=11, value=rec['old_pass'])
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ws2.cell(row=r2, column=12, value=rec['new_pass'])
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# Flip column with color
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flip_cell = ws2.cell(row=r2, column=13, value=rec['flip'])
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if rec['flip'] == '达→未达标':
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flip_cell.font = RED_FONT
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ws2.cell(row=r2, column=14, value=rec['has_gps'])
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style_row(ws2, r2, 14, alt=(i%2==1))
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r2 += 1
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col_widths2 = [12, 10, 10, 26, 20, 8, 14, 16, 16, 14, 10, 10, 10, 10]
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for i, w in enumerate(col_widths2, 1):
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ws2.column_dimensions[get_column_letter(i)].width = w
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# ── Sheet 3: 业务考核视图 (current, post-intervention) ──
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ws3 = wb.create_sheet('业务考核视图')
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ws3.sheet_properties.tabColor = '70AD47'
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src_h = list(src_recs[0].keys())
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for c, h in enumerate(src_h, 1):
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ws3.cell(row=1, column=c, value=h)
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style_header(ws3, 1, len(src_h))
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for i, rec in enumerate(src_recs):
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for c, h in enumerate(src_h, 1):
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val = rec.get(h)
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if val is not None:
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ws3.cell(row=i+2, column=c, value=val)
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style_row(ws3, i+2, len(src_h), alt=(i%2==1))
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for i in range(1, len(src_h)+1):
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ws3.column_dimensions[get_column_letter(i)].width = 12
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# ── Sheet 4: 干预车辆汇总(按部门+销售) ──
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ws4 = wb.create_sheet('干预汇总(按部门销售)')
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ws4.sheet_properties.tabColor = 'FFC000'
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ws4.merge_cells('A1:F1')
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ws4.cell(row=1, column=1, value='干预车辆 — 按部门+销售经理汇总').font = TITLE_FONT
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ws4.cell(row=1, column=1).alignment = CC
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# Aggregate
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by_dept_sales = defaultdict(lambda: {'total': 0, 'flip_down': 0, 'flip_up': 0, 'no_gps': 0, 'has_gps': 0, 'gps_amount': 0})
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for rec in intv_records:
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key = (rec['dept'], rec['sales'])
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by_dept_sales[key]['total'] += 1
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if rec['flip'] == '达→未达标':
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by_dept_sales[key]['flip_down'] += 1
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elif rec['flip'] == '未→达标':
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by_dept_sales[key]['flip_up'] += 1
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if rec['gps'] > 0:
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by_dept_sales[key]['has_gps'] += 1
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by_dept_sales[key]['gps_amount'] += rec['gps']
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else:
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by_dept_sales[key]['no_gps'] += 1
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agg_headers = ['部门', '销售经理', '干预车辆数', '达→未达标', '未→达标', '无GPS数据']
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r4 = 3
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for c, h in enumerate(agg_headers, 1):
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ws4.cell(row=r4, column=c, value=h)
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style_header(ws4, r4, 6)
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r4 += 1
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for (dept, sales), data in sorted(by_dept_sales.items()):
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ws4.cell(row=r4, column=1, value=dept)
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ws4.cell(row=r4, column=2, value=sales)
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ws4.cell(row=r4, column=3, value=data['total'])
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ws4.cell(row=r4, column=4, value=data['flip_down'])
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ws4.cell(row=r4, column=5, value=data['flip_up'])
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ws4.cell(row=r4, column=6, value=data['no_gps'])
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style_row(ws4, r4, 6)
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r4 += 1
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col_widths4 = [14, 12, 12, 12, 12, 12]
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for i, w in enumerate(col_widths4, 1):
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ws4.column_dimensions[get_column_letter(i)].width = w
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# ── Save ──
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out_path = 'new-kpi-202605_1/租赁任务考核_2026年5月_干预情况说明.xlsx'
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wb.save(out_path)
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print(f'✅ {out_path} ({len(wb.sheetnames)} sheets)')
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