3237ef8271
- 16 个 .sketch 经 Playwright Import 上传（Figma 自动转 fig） - 匹配脚本扩展：fig 优先，sketch 次之 - 47/47 匹配（35 fig + 12 sketch-only） - banner 文案更新 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
110 lines
4.4 KiB
Python
Executable File
110 lines
4.4 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Match Figma cloud Drafts files (from figma-files.json) back to W{N} entries in
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manifest.json by fuzzy name match, then update web/data.json with figma_key+url.
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"""
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import json, re, sys, difflib
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from pathlib import Path
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ROOT = Path(__file__).resolve().parent.parent
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def normalize(s):
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s = s.lower()
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s = re.sub(r'[^a-z0-9]+', ' ', s).strip()
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return s
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def best_match(target, candidates):
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"""Return (score, candidate) best match from candidates list of dicts with .name"""
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nt = normalize(target)
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best = (0, None)
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for c in candidates:
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nc = normalize(c['name'])
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# exact / prefix / contains / sequence
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if nt == nc: s = 1.0
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elif nt in nc or nc in nt: s = 0.85
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else: s = difflib.SequenceMatcher(None, nt, nc).ratio()
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if s > best[0]:
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best = (s, c)
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return best
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def main():
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manifest = json.loads((ROOT/'manifest.json').read_text())
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figma_files_path = ROOT/'figma-files.json'
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if not figma_files_path.exists():
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print(f"missing {figma_files_path}", file=sys.stderr)
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sys.exit(1)
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figma_files = json.loads(figma_files_path.read_text()) # list of {key, name, ...}
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# Match each template (fig preferred, else sketch) against cloud files
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matches = []
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used_keys = set()
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for t in manifest['templates']:
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source_files = t['fig'] if t['fig'] else t['sketch']
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if not source_files: continue
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kind = 'fig' if t['fig'] else 'sketch'
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targets = [Path(f).stem for f in source_files]
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if t.get('archive'):
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targets.append(Path(t['archive']).stem)
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targets.append(t['name'])
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best_overall = (0, None)
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for tgt in targets:
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score, cand = best_match(tgt, [f for f in figma_files if f['key'] not in used_keys])
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if score > best_overall[0]:
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best_overall = (score, cand)
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if score > 0.95:
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break
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score, cand = best_overall
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stem = Path(source_files[0]).stem
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if cand and score >= 0.6:
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used_keys.add(cand['key'])
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matches.append({
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'W': t['id'], 'name': t['name'], 'kind': kind, 'source_stem': stem,
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'matched': cand['name'], 'key': cand['key'], 'score': round(score, 3)
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})
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else:
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matches.append({
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'W': t['id'], 'name': t['name'], 'kind': kind, 'source_stem': stem,
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'matched': None, 'best_score': round(best_overall[0], 3) if cand else 0,
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'best_candidate': cand['name'] if cand else None
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})
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# Update web/data.json
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data_path = ROOT/'web'/'data.json'
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data = json.loads(data_path.read_text())
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by_W = {m['W']: m for m in matches if m.get('key')}
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for t in data['templates']:
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m = by_W.get(t['id'])
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if m:
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t['figma_key'] = m['key']
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t['figma_url'] = f"https://www.figma.com/file/{m['key']}"
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else:
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t['figma_key'] = None
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t['figma_url'] = None
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# update banner with imported count
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imported = sum(1 for t in data['templates'] if t['figma_key'])
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fig_cnt = sum(1 for t in manifest['templates'] if t['fig'])
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sketch_only_cnt = sum(1 for t in manifest['templates'] if not t['fig'] and t['sketch'])
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data['imported_summary'] = (
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f"✅ <b>{imported}/56 套</b>已云端就位在 "
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f"<a href='https://www.figma.com/files/team/1304178887825899477/drafts' target='_blank'>Figma Drafts</a>"
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f"（{fig_cnt} 个 .fig 原生 + {sketch_only_cnt} 个 .sketch 经 Figma 转换）。"
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f"点卡片 → modal → iframe 实时投射。"
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)
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data_path.write_text(json.dumps(data, ensure_ascii=False, indent=2))
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# write match report
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report = ROOT/'figma-match-report.json'
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report.write_text(json.dumps(matches, ensure_ascii=False, indent=2))
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total_matchable = sum(1 for t in manifest['templates'] if t['fig'] or t['sketch'])
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print(f"Matched {imported}/{total_matchable} templates ({fig_cnt} fig + {sketch_only_cnt} sketch-only)")
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print(f"Report: {report.relative_to(ROOT)}")
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unmatched = [m for m in matches if not m.get('key')]
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if unmatched:
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print(f"\n⚠️ {len(unmatched)} unmatched:")
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for m in unmatched:
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print(f" {m['W']:4s} {m['name'][:50]:50s} best='{m.get('best_candidate','')[:40]}' score={m.get('best_score',0)}")
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if __name__ == '__main__':
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main()
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