chore: curate monthly assessment evidence and scripts
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kkfluous
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#!/usr/bin/env python3
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"""按三份GPS日里程文件处理2026年7月测试车辆考核源表。"""
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from copy import copy
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from collections import defaultdict
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from datetime import datetime
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from pathlib import Path
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import re
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import shutil
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import openpyxl
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from openpyxl.styles import PatternFill
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BASE = Path('/Users/kkfluous/Downloads')
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OUT = BASE / '7月核算结果'
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SRC = BASE / '租赁任务考核_2026年7月 (1).xlsx'
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TEST = Path('/Users/kkfluous/Library/Containers/com.tencent.xinWeChat/Data/Documents/xwechat_files/wxid_1704407055112_3af8/temp/RWTemp/2026-08/4340099467fbf08b4c6583c49adba4ee/7月测试车辆明细.xlsx')
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GPS_DAILY = BASE / '智能管车_车辆里程日报-140106360.xlsx'
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GPS_DETAIL = [
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BASE / '里程统计[天][2026-07-01至2026-07-31].xlsx',
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BASE / '里程统计[天][2026-07-01至2026-07-31] (1).xlsx',
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]
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EXCLUDED_TEST_PLATES = {'粤AG37316'}
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ZERO_OVERRIDE = set()
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DEPARTMENT_OVERRIDE = {'粤AGP6675': '业务六部', '粤AGP9757': '业务六部'}
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def norm(v):
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return re.sub(r'\s+', '', str(v or '')).upper()
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def number(v):
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try:
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return float(v or 0)
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except (TypeError, ValueError):
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return 0.0
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def read_test_plates():
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wb = openpyxl.load_workbook(TEST, data_only=True)
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ws = wb.active
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plates = {norm(r[0]) for r in ws.iter_rows(min_row=2, values_only=True) if norm(r[0])}
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wb.close()
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return plates - EXCLUDED_TEST_PLATES
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def read_daily_matrix():
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wb = openpyxl.load_workbook(GPS_DAILY, data_only=True)
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ws = wb.active
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headers = [c.value for c in ws[1]]
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day_cols = {}
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for i, v in enumerate(headers):
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m = re.fullmatch(r'07月(\d{2})日', str(v or ''))
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if m:
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day_cols[int(m.group(1))] = i
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data = {}
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for row in ws.iter_rows(min_row=2, values_only=True):
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plate = norm(row[0])
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if plate:
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data[plate] = {d: number(row[i]) for d, i in day_cols.items()}
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wb.close()
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return data
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def read_detail_files():
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data = defaultdict(lambda: defaultdict(float))
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for path in GPS_DETAIL:
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wb = openpyxl.load_workbook(path, data_only=True)
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ws = wb.active
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headers = [c.value for c in ws[3]]
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pcol = next(i for i, v in enumerate(headers) if v and '车牌' in str(v))
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dcol = next(i for i, v in enumerate(headers) if str(v or '').strip() == '日期')
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mcol = next(i for i, v in enumerate(headers) if v and '里程' in str(v) and 'km' in str(v).lower())
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for row in ws.iter_rows(min_row=4, values_only=True):
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plate = norm(row[pcol])
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if not plate:
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continue
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try:
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dt = row[dcol] if isinstance(row[dcol], datetime) else datetime.strptime(str(row[dcol])[:10], '%Y-%m-%d')
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except (TypeError, ValueError):
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continue
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# 同一车辆同一天在两份明细中如重复，取较大值，避免重复累计。
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data[plate][dt.day] = max(data[plate][dt.day], number(row[mcol]))
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wb.close()
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return {p: dict(days) for p, days in data.items()}
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def copy_cell_style(src, dst):
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dst._style = copy(src._style)
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if src.has_style:
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dst.number_format = src.number_format
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dst.protection = copy(src.protection)
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dst.alignment = copy(src.alignment)
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def main():
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OUT.mkdir(parents=True, exist_ok=True)
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shutil.copy2(SRC, OUT / '租赁任务考核_2026年7月_原版备份.xlsx')
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tests = read_test_plates()
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matrix = read_daily_matrix()
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details = read_detail_files()
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wb = openpyxl.load_workbook(SRC)
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ws = wb['业务考核视图']
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# 原表O列是实际里程。插入后统一为 O原TBOX、P实际、Q测试、R完成率、S是否达标。
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ws.insert_cols(15, 1)
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ws.insert_cols(17, 1)
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ws['O1'] = '原TBOX里程(km)'
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ws['Q1'] = '测试里程(km)'
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copy_cell_style(ws['P1'], ws['O1'])
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copy_cell_style(ws['P1'], ws['Q1'])
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yellow = PatternFill(fill_type='solid', fgColor='FFFF00')
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records = []
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missing = []
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for ri in range(2, ws.max_row + 1):
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plate = norm(ws.cell(ri, 1).value)
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if plate in DEPARTMENT_OVERRIDE:
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ws.cell(ri, 4).value = DEPARTMENT_OVERRIDE[plate]
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original = number(ws.cell(ri, 16).value)
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ws.cell(ri, 15).value = round(original, 2)
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copy_cell_style(ws.cell(ri, 16), ws.cell(ri, 15))
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copy_cell_style(ws.cell(ri, 16), ws.cell(ri, 17))
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if plate not in tests:
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ws.cell(ri, 17).value = 0
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continue
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start = ws.cell(ri, 11).value
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end = ws.cell(ri, 12).value
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start_day = start.day if isinstance(start, datetime) else 1
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end_day = end.day if isinstance(end, datetime) else 31
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if plate in ZERO_OVERRIDE:
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actual = 0.0
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source = 'GPS缺失，业务确认暂按0'
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elif plate in matrix:
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actual = sum(matrix[plate].get(d, 0) for d in range(start_day, end_day + 1))
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source = GPS_DAILY.name
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elif plate in details:
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actual = sum(details[plate].get(d, 0) for d in range(start_day, end_day + 1))
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source = '里程统计日明细'
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else:
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missing.append(plate)
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continue
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target = number(ws.cell(ri, 14).value)
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test_mileage = max(0.0, original - actual)
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rate = actual / target * 100 if target > 0 else 0
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ws.cell(ri, 16).value = round(actual, 2)
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ws.cell(ri, 17).value = round(test_mileage, 2)
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ws.cell(ri, 18).value = round(rate, 2)
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ws.cell(ri, 19).value = '达标' if target > 0 and actual >= target else '未达标'
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for cell in ws[ri]:
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cell.fill = copy(yellow)
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records.append((plate, ri, original, actual, test_mileage, source))
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if missing:
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raise RuntimeError('仍缺GPS车牌: ' + ','.join(sorted(set(missing))))
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# 对齐5/6月的宽度、筛选和冻结窗格；保留原表其余样式。
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ref = openpyxl.load_workbook(BASE / '租赁任务考核_2026年6月.xlsx', read_only=False)
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rws = ref['业务考核视图']
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for i in range(1, 24):
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letter = openpyxl.utils.get_column_letter(i)
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if rws.column_dimensions[letter].width:
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ws.column_dimensions[letter].width = rws.column_dimensions[letter].width
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ws.freeze_panes = rws.freeze_panes
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ws.auto_filter.ref = f'A1:W{ws.max_row}'
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ref.close()
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out = OUT / '租赁任务考核_2026年7月.xlsx'
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wb.save(out)
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wb.close()
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print(f'output={out}')
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print(f'test_list={len(tests)} intervention_records={len(records)} intervention_plates={len(set(r[0] for r in records))}')
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print(f'zero_override={sorted(ZERO_OVERRIDE)}')
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print(f'department_override={DEPARTMENT_OVERRIDE}')
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print(f'total_original={sum(r[2] for r in records):.2f} total_gps={sum(r[3] for r in records):.2f} total_test={sum(r[4] for r in records):.2f}')
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if __name__ == '__main__':
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main()
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