Files
mileage-bonus/outputs/hydrogen-history-20260916/verify_revision.py
T
shishengliang 65904c8270 feat: add assessment workbench and September reconciliation
Preserve August hydrogen revision and September audit evidence; calculate interrupted vehicle history across all prior months. Record remaining carry-policy and layout-baseline discrepancies.
2026-10-09 18:21:45 +08:00

47 lines
2.8 KiB
Python

from pathlib import Path
import json,openpyxl
from collections import Counter
P=Path(__file__).resolve().parent
d=json.loads((P/'august_calculation.json').read_text());s=json.loads((P/'recalculation_summary.json').read_text())
comp=json.loads((P/'comparison.json').read_text());paid=json.loads((P/'historical_paid.json').read_text())
w=openpyxl.load_workbook(P/'里程任务考核_8月核算_纯氢修正版.xlsx',data_only=True)
orig=openpyxl.load_workbook('/Users/shishengliang/Documents/羚牛/里程考核核算/8月/8月核算结果/里程任务考核_8月核算.xlsx',data_only=True)
assert w.sheetnames[:len(orig.sheetnames)]==orig.sheetnames
def same(a,b):
if a in (None,'') and b in (None,''):return True
if isinstance(a,(int,float)) and isinstance(b,(int,float)):return abs(a-b)<1e-8
return a==b
for row in w['里程明细8月']:
for c in row:assert same(c.value,orig['里程明细8月'][c.coordinate].value),('August assessment records changed',c.coordinate,c.value,orig['里程明细8月'][c.coordinate].value)
assert abs(w['8月汇总(新版界面)']['M22'].value-s['new_amount'])<1e-7
rr=list(w['8月奖金发放记录'].values)
for row,l in zip(rr[1:],d['ledger']):
assert (row[0],row[1],row[4])==(l['plate'],l['sales'],l['category'])
assert row[6]==l['gross_amount'] and row[8]==l['withheld'] and row[9]==l['amount']
assert abs(w['8月调整对照']['D14'].value-s['difference'])<1e-7
for row,x in zip(list(w['历史里程修正'].values)[1:],comp):
assert row[5]==x['corrected']
assert x['corrected']<=x['original']
if x['hydrogen'] is None:assert row[4] is None and row[5]==x['original']
if x['hydrogen']==0:assert row[5]==min(0,x['original'])
for l in d['ledger']:
if l['assessment_month']<8:
assert not any(r['plate']==l['plate'] and r['owner']==l['sales'] and r['assessment_month']==l['assessment_month'] for r in paid)
errors=[]
for sh in w:
for row in sh:
for c in row:
if c.data_type=='e':errors.append((sh.title,c.coordinate,c.value))
assert not errors,errors[:10]
# Independent cumulative check: same contiguous monthly chain as the established engine;
# every historical correction reduces only the matching owner and interval.
for g in d['groups']:
target=actual=0
for t,a in g['history']:
if t is None:target=actual=0
else:target+=t;actual+=a
assert abs(g['cum_target']-target)<.03 and abs(g['cum_actual']-actual)<.03,(g['plate'],g['sales'])
result=dict(total=s['new_amount'],difference=s['difference'],sheets=len(w.sheetnames),ledger_items=len(d['ledger']),missing_hydrogen_groups=s['missing_groups'],overlap_days_deduplicated=sum(x['overlap_days'] for x in comp),formula_errors=errors,august_detail_unchanged=True,historical_paid_no_duplicate=True,monthly_baseline_reproduced=True)
(P/'verification.json').write_text(json.dumps(result,ensure_ascii=False,indent=2))
print(json.dumps(result,ensure_ascii=False,indent=2))