Files
Pier_v1/RAG/design-model-box-sample_2/tools/compare_saved_model_compatibility.py
T
ahnyongjooandClaude Sonnet 5.5 964a841de1 chore(rebar): Pier_T_rebar 작업 폴더 초기 구성 및 외부 의존 파일 통합
- Code\rebar_pipeline, review_pipeline, pier-program을 정션에서 실제 폴더로 전환
- Code\rhino_mcp 및 CLAUDE_rhino배경.md 추가, .mcp.json은 PYTHONPATH로 새 위치 사용
- pier-program 내부 .git 제거(이력은 backup\pier-program_20261028.bundle에 보관)
- worktree 가이드 반영(CLAUDE.local.md, HANDOFF.md)
- D:\Rhino-MCP 경로 참조를 새 위치로 치환

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
2026-10-28 11:20:18 +09:00

73 lines
3.4 KiB
Python

"""Compare baseline/staging classification against unchanged saved models.
Read-only: no AI calls, job writes, geometry generation or approval changes.
Run each checkout in a fresh interpreter to prevent mixed module imports.
"""
import argparse
import copy
import hashlib
import json
from pathlib import Path
import subprocess
import sys
def digest(value):
return hashlib.sha256(json.dumps(value, sort_keys=True, separators=(',', ':')).encode()).hexdigest()
def worker(root, job):
sys.path.insert(0, str(root / 'src/backend'))
from fresh_rebar_8097 import _compact_nonwing_rebar_taxonomy
raw = job.read_bytes()
plan = json.loads(raw)['result']
before = copy.deepcopy(plan)
groups = plan.get('rebar_groups') or []
_compact_nonwing_rebar_taxonomy(plan, groups)
fields = ('id', 'host_component_ids', 'instance_paths_m', 'diameter_mm')
physical = lambda rows: [{k: g.get(k) for k in fields} for g in rows]
assert physical(groups) == physical(before.get('rebar_groups') or []), 'rebar geometry/hosts changed'
assert plan.get('concrete_components') == before.get('concrete_components'), 'concrete changed'
assert job.read_bytes() == raw, 'saved job changed'
return dict(pass_=True, concrete=len(plan.get('concrete_components') or []),
groups=len(groups), paths=sum(len(g.get('instance_paths_m') or []) for g in groups),
physical_hash=digest(physical(groups)), concrete_hash=digest(plan.get('concrete_components')),
saved_job_sha256=hashlib.sha256(raw).hexdigest())
def main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument('--baseline', type=Path)
parser.add_argument('--staging', type=Path)
parser.add_argument('--manifest', type=Path)
parser.add_argument('--jobs', type=Path)
parser.add_argument('--output', type=Path)
parser.add_argument('--worker-root', type=Path)
parser.add_argument('--worker-job', type=Path)
args = parser.parse_args()
if args.worker_root:
print(json.dumps(worker(args.worker_root, args.worker_job))); return
if args.output.exists():
parser.error('refusing to overwrite a comparison report')
rows = []
for item in json.loads(args.manifest.read_text())['models']:
row = dict(item)
for label, root in [('baseline', args.baseline), ('staging', args.staging)]:
result = subprocess.run([sys.executable, __file__, '--worker-root', str(root),
'--worker-job', str(args.jobs / (item['job_id'] + '.json'))],
capture_output=True, text=True)
row[label] = json.loads(result.stdout) if result.returncode == 0 else {
'pass_': False, 'error': result.stderr[-3000:]}
row['compatible'] = row['baseline'].get('pass_') and row['staging'] == row['baseline']
rows.append(row)
print(json.dumps({'name': item['name'], 'compatible': row['compatible'],
'baseline': row['baseline'], 'staging': row['staging']}, ensure_ascii=False), flush=True)
with args.output.open('x') as stream:
json.dump({'scope': 'saved-model classification compatibility only; not regeneration or new engineering approval',
'all_compatible': all(r['compatible'] for r in rows), 'results': rows}, stream, ensure_ascii=False, indent=2)
if not all(r['compatible'] for r in rows):
sys.exit(1)
if __name__ == '__main__': main()