mirror of
https://github.com/community-scripts/ProxmoxVE.git
synced 2025-12-27 09:26:25 +01:00
181 lines
6.1 KiB
Python
Executable File
181 lines
6.1 KiB
Python
Executable File
#!/usr/bin/env python3
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import json
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from pathlib import Path
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import re
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from collections import Counter
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ROOT = Path(__file__).resolve().parents[1]
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JSON_DIR = ROOT / 'frontend' / 'public' / 'json'
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METADATA_FILE = JSON_DIR / 'metadata.json'
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REPORT_JSON = JSON_DIR / 'semantic_audit_report.json'
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REPORT_MD = JSON_DIR / 'semantic_audit_report.md'
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STOPWORDS = set(["the","and","of","in","a","to","with","for","on","is","an","by","as","or","all","tools","solutions","manage","management","system","systems","service","services"])
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def tokens(text):
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if not text:
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return []
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text = text.lower()
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text = re.sub(r"[^a-z0-9]+", " ", text)
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toks = [t for t in text.split() if t and t not in STOPWORDS and len(t) > 1]
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return toks
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def load_categories():
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md = json.loads(METADATA_FILE.read_text())
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cats = {}
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for c in md.get('categories', []):
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try:
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cid = int(c.get('id'))
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except Exception:
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continue
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name = c.get('name','')
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desc = c.get('description','')
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kt = set(tokens(name) + tokens(desc))
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# also add raw name token
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cats[cid] = {'id': cid, 'name': name, 'desc': desc, 'keywords': kt}
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return cats
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def score_text_against_category(text_tokens, cat_keywords):
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if not text_tokens or not cat_keywords:
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return 0
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cnt = 0
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for t in text_tokens:
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if t in cat_keywords:
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cnt += 1
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# simple score: count
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return cnt
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def analyze_file(p, cats):
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try:
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obj = json.loads(p.read_text())
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except Exception as e:
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return {'file': p.name, 'error': f'parse_error: {e}'}
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# if the JSON is not an object (e.g., array of versions), we cannot determine category
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if not isinstance(obj, dict):
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return {'file': p.name, 'found': [], 'questionable': True, 'reasons': ['no_category_field']}
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# gather text
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parts = []
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for k in ['name','description','slug','type','documentation','website']:
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v = obj.get(k)
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if isinstance(v, list):
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parts.extend([str(x) for x in v if x])
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elif v:
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parts.append(str(v))
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# include install script path and notes
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for k in ['script','install_methods','notes','tags']:
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v = obj.get(k)
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if not v:
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continue
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if isinstance(v, list):
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for item in v:
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parts.append(json.dumps(item) if isinstance(item, (dict,list)) else str(item))
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elif isinstance(v, dict):
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parts.append(json.dumps(v))
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else:
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parts.append(str(v))
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text = " ".join(parts)
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tks = tokens(text)
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if not tks:
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return {'file': p.name, 'found': [], 'notes': ['no_text_to_analyze']}
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scores = []
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for cid, c in cats.items():
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sc = score_text_against_category(tks, c['keywords'])
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if sc > 0:
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scores.append({'id': cid, 'name': c['name'], 'score': sc})
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scores = sorted(scores, key=lambda x: (-x['score'], x['name']))
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# determine current categories
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current = []
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raw = obj.get('categories') or obj.get('category')
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if isinstance(raw, list):
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current = raw
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elif raw is not None:
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current = [raw]
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# normalize to ints where possible
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normalized_current = []
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for v in current:
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try:
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normalized_current.append(int(v))
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except Exception:
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# maybe it's a name; try to match by name
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for cid,c in cats.items():
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if isinstance(v,str) and v.strip().lower() == c['name'].lower():
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normalized_current.append(cid)
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break
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# decide if questionable
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questionable = False
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reasons = []
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if not normalized_current:
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questionable = True
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reasons.append('no_category_assigned')
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else:
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# if none of current in top 3 suggestions and top suggestion has score>0
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top_ids = [s['id'] for s in scores[:3]]
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if scores and all(cid not in top_ids for cid in normalized_current):
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questionable = True
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reasons.append('assigned_not_in_top_suggestions')
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return {'file': p.name, 'current': normalized_current, 'suggestions': scores[:5], 'questionable': questionable, 'reasons': reasons}
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def main():
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cats = load_categories()
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report = {'summary': {'total': 0, 'questionable': 0, 'errors': 0}, 'files': []}
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for p in sorted(JSON_DIR.glob('*.json')):
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if p.name == METADATA_FILE.name:
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continue
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report['summary']['total'] += 1
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res = analyze_file(p, cats)
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if 'error' in res:
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report['summary']['errors'] += 1
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if res.get('questionable'):
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report['summary']['questionable'] += 1
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report['files'].append(res)
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REPORT_JSON.write_text(json.dumps(report, indent=2))
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lines = []
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lines.append('# Semantic Audit Report: Category Suggestions')
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lines.append('')
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lines.append(f"- Total files scanned: {report['summary']['total']}")
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lines.append(f"- Files with parse errors: {report['summary']['errors']}")
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lines.append(f"- Files flagged as questionable: {report['summary']['questionable']}")
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lines.append('')
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lines.append('## Flagged files and suggestions')
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lines.append('')
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for f in report['files']:
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if f.get('questionable') or f.get('error'):
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lines.append(f"- **{f['file']}**")
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if f.get('error'):
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lines.append(f" - Error: {f['error']}")
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if f.get('current'):
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lines.append(f" - Current categories: {f['current']}")
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if f.get('suggestions'):
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for s in f['suggestions']:
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lines.append(f" - Suggestion: {s['id']} {s['name']} (score={s['score']})")
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if f.get('reasons'):
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for r in f['reasons']:
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lines.append(f" - Reason: {r}")
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lines.append('')
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REPORT_MD.write_text('\n'.join(lines))
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print('Semantic audit complete:')
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print(f" Total: {report['summary']['total']}")
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print(f" Questionable: {report['summary']['questionable']}")
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print(f" Errors: {report['summary']['errors']}")
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print(f"Wrote: {REPORT_JSON} and {REPORT_MD}")
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if __name__ == '__main__':
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main()
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