112 lines
4.5 KiB
Python
Executable File
112 lines
4.5 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 source file to ALL matching cloud files (supports multi-variant)
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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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variants = []
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for src in source_files:
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stem = Path(src).stem
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# Match this specific source stem to best unused cloud file
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score, cand = best_match(stem, [f for f in figma_files if f['key'] not in used_keys])
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if cand and score >= 0.6:
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used_keys.add(cand['key'])
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variants.append({
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'source_stem': stem,
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'matched': cand['name'],
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'key': cand['key'],
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'score': round(score, 3)
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})
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matches.append({
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'W': t['id'], 'name': t['name'], 'kind': kind,
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'source_count': len(source_files),
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'variants': variants,
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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}
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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 and m['variants']:
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first = m['variants'][0]
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t['figma_key'] = first['key']
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t['figma_url'] = f"https://www.figma.com/file/{first['key']}"
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t['figma_variants'] = [
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{'name': v['source_stem'], 'matched': v['matched'], 'key': v['key'],
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'url': f"https://www.figma.com/file/{v['key']}"}
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for v in m['variants']
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]
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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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t['figma_variants'] = []
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# update banner with imported count + variant total
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imported = sum(1 for t in data['templates'] if t['figma_key'])
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total_variants = sum(len(t.get('figma_variants', [])) for t in data['templates'])
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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>（共 {total_variants} 个文件）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} .fig + {sketch_only_cnt} .sketch 转换）。"
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f"点卡片 → modal → 多变体 tab 切换 + 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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multi_variant = sum(1 for m in matches if len(m['variants']) > 1)
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print(f"Matched {imported}/{total_matchable} templates, {total_variants} total file keys, {multi_variant} with multi variants")
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print(f"Report: {report.relative_to(ROOT)}")
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unmatched = [m for m in matches if not m['variants']]
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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}")
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if __name__ == '__main__':
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main()
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