NINI
76 lines
4.4 KiB
Python
76 lines
4.4 KiB
Python
"""컷·연결·새 버전 미디어와 실제 실행 증거를 검사한다."""
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import hashlib
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import json
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from pathlib import Path
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import jsonschema
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ROOT=Path(__file__).resolve().parents[3]
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PROJECT=ROOT/'projects/water-hydrogen-bond-surface-tension'
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def read(path):
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return json.loads(path.read_text(encoding='utf-8'))
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if __name__=='__main__':
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a=read(PROJECT/'stages/08-scenes/r2/artifact.json')
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b=read(PROJECT/'stages/09-entities/r2/artifact.json')
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schema=read(ROOT/'contracts/artifact.schema.json')
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jsonschema.validate(a,schema)
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jsonschema.validate(b,schema)
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cuts=read(PROJECT/'stages/07-cuts/r1/artifact.json')['payload']
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ids=[c['id'] for c in cuts['cuts']]
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assert len(ids)==31 and len(cuts['captions'])==38 and cuts['narration_duration_ms']==110560
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assert cuts['cuts'][0]['start_ms']==0 and cuts['cuts'][-1]['end_ms']==110560
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assert all(0<c['end_ms']-c['start_ms']<=5000 for c in cuts['cuts'])
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assert all(x['end_ms']==y['start_ms'] for x,y in zip(cuts['cuts'],cuts['cuts'][1:]))
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scenes=a['payload']['scenes']
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connections=a['payload']['connections']
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assert [s['cut_id'] for s in scenes]==ids and len(connections)==30
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assert [(c['from_cut_id'],c['to_cut_id']) for c in connections]==list(zip(ids,ids[1:]))
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for left,right,connection in zip(scenes,scenes[1:],connections):
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if connection['mode']=='continuous':
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assert left['end_state']==right['start_state']
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assert left['camera']==right['camera']
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else:
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assert left['start_state'].split(';')[0]!=right['start_state'].split(';')[0]
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assert b['payload']['characters']==[]
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assert [p['cut_id'] for p in b['payload']['appearances']]==ids
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bg={g['id'] for g in b['payload']['backgrounds']}
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assert all(not p['character_ids'] and set(p['background_ids'])<=bg for p in b['payload']['appearances'])
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preview=a['payload']['preview']
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source=preview['scene_file']
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assert source['verified'] and hashlib.sha256((ROOT/source['path']).read_bytes()).hexdigest()==source['sha256']
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samples=preview['samples']
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assert len(samples)==6 and len({s['id'] for s in samples})==6
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assets=[dict(path=source['path'],sha256=source['sha256'])]
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frame_reviews=[]
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for sample in samples:
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media=sample['media']
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path=ROOT/media['path']
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assert path.is_relative_to(PROJECT/'stages/08-scenes/r2') and media['verified']
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evidence_path=path.parent/'evidence.json'
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evidence=read(evidence_path)
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assert evidence['media']==media and evidence['scene_file']==source and evidence['render_profile']==preview['render_profile']
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assert (media['width'],media['height'])==(1080,1920)
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if media['kind']=='video':
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cut=next(c for c in cuts['cuts'] if c['id']==sample['cut_ids'][0])
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assert media['duration_ms']==cut['end_ms']-cut['start_ms']
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assert evidence['logical_frames']==list(range(cut['start_ms']//20,cut['end_ms']//20))
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for frame in (evidence['logical_frames'][0],evidence['logical_frames'][len(evidence['logical_frames'])//2],evidence['logical_frames'][-1]):
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f=path.parent/f'frame-{frame:08}.png'
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frame_reviews.append(f.relative_to(ROOT).as_posix())
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assets.append(dict(path=f.relative_to(ROOT).as_posix(),sha256=hashlib.sha256(f.read_bytes()).hexdigest()))
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for f in (path,evidence_path):
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assets.append(dict(path=f.relative_to(ROOT).as_posix(),sha256=hashlib.sha256(f.read_bytes()).hexdigest()))
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result=dict(result='GREEN',cuts=31,captions=38,connections=30,total_ms=110560,fps=50,total_frames=5528,profile=preview['render_profile'],source_sha256=source['sha256'],samples=6,visual_review_frames=frame_reviews,actual_assets=assets,scenes_approval='pending',formal_10_12='not_started')
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motion=read(PROJECT/'stages/08-scenes/r2/motion-check.json')
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assert motion['source_sha256']==source['sha256'] and len(motion['views'])==3
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for view in motion['views']:
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assert all(change>0 for change in view['mean_absolute_pixel_change'])
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path=ROOT/view['mobile_view_path']
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assert hashlib.sha256(path.read_bytes()).hexdigest()==view['mobile_view_sha256']
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assets.append(dict(path=view['mobile_view_path'],sha256=view['mobile_view_sha256']))
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(PROJECT/'stages/08-scenes/r2/design-check.json').write_text(json.dumps(result,ensure_ascii=False,indent=2)+'\n',encoding='utf-8')
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print('DESIGN_GREEN: 31 cuts, 30 boundaries, 38 captions, 6 actual samples')
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