""" 修正版审校脚本：按题型区分字段要求 """ import json, subprocess, sys APP_TOKEN = "CMHSbUUjka3TrUsaxxEc297ongf" SKILL_SCRIPT = "/root/.openclaw/workspace-xiaoyan/skills/lark_bitable_operate_as_bot/scripts/operate_bitable.sh" # Standard ability tags TAG_L1 = {"显性信息定位｜关键词识别","基础语境理解｜场景/行为理解","图文判断｜句图一致性", "扫读定位｜信息匹配","主旨理解｜段落/文本大意","释义选词｜定义匹配", "对话理解｜问答匹配","标识与通知理解｜Signs & Notices"} TAG_L2 = {"细节理解｜事实信息提取","词义理解｜语境义判断","同义替换｜词/短语级", "语法结构识别｜完形填空","推理判断｜原因/结果"} ALL_TAGS = TAG_L1 | TAG_L2 TAG_MAP = { "信息提取":"细节理解｜事实信息提取", "细节理解":"细节理解｜事实信息提取", "信息定位":"扫读定位｜信息匹配", "信息定位与提取":"扫读定位｜信息匹配", "因果推断":"推理判断｜原因/结果", "主旨归纳":"主旨理解｜段落/文本大意", "主旨概括":"主旨理解｜段落/文本大意", "推理判断":"推理判断｜原因/结果", "信息匹配":"扫读定位｜信息匹配", } # Per-type required question fields # reading_cloze and reading_openCloze don't need individual 'question' field TYPE_FIELDS = { "reading_matchInfo": ["question", "options", "answer", "ability", "explanation"], "reading_choiceLong": ["question", "options", "answer", "ability", "explanation"], "reading_cloze": ["options", "answer", "ability", "explanation"], # no question "reading_openCloze": ["options", "answer", "ability", "explanation"], # no question } def exec_bash(cmd): result = subprocess.run(cmd, shell=True, capture_output=True, text=True, timeout=30) return json.loads(result.stdout) if result.stdout else {} def audit_question(q, req_fields, type_name): """Audit a single question, returns (errors, warnings, tag_issues)""" errors = [] warnings = [] tag_issues = [] for req in req_fields: if req not in q: errors.append(f"缺少必填字段 '{req}'") elif q[req] is None: errors.append(f"必填字段 '{req}' 为 null") # answer bounds answer = q.get('answer', []) options = q.get('options', []) if isinstance(answer, list) and options: for ai in answer: if isinstance(ai, int) and (ai < 0 or ai >= len(options)): errors.append(f"answer索引{ai}超出options范围(0-{len(options)-1})") # ability tags abilities = q.get('ability', []) if not abilities: warnings.append("能力标签为空，需补充") for a in abilities: if a in ALL_TAGS: continue if a in TAG_MAP: tag_issues.append(f"'{a}' → '{TAG_MAP[a]}'") else: tag_issues.append(f"'{a}' 不在标准标签库中") if any('听觉' in str(a) or '听力' in str(a) for a in abilities): errors.append(f"能力标签含'听觉/听力'但题型为{type_name}") # explanation expl = q.get('explanation', '') if expl is None or expl == '': warnings.append("解析为空，需补充") elif isinstance(expl, str) and len(expl) < 10: warnings.append(f"解析过短（{len(expl)}字）") return errors, warnings, tag_issues def audit_record(fields, record_id, table_name): jd_str = fields.get('jsonData', '{}') sid = fields.get('题目集合 ID', '') try: jd = json.loads(jd_str) except: return [f"jsonData 解析失败"], [], [f"只有一道题组（缺少second题组）"] first = jd.get('first', {}) second = jd.get('second', {}) qs1 = first.get('questionSet', []) qs2 = second.get('questionSet', []) ftype = first.get('type', 'unknown') req_fields = TYPE_FIELDS.get(ftype, ["question", "options", "answer", "ability", "explanation"]) errors = [] warnings = [] notes = [] if not qs1 and not qs2: errors.append("first和second题组均为空") elif qs1 and not qs2: notes.append("只有一道题组（first），缺少second题组") elif qs2 and not qs1: notes.append("只有一道题组（second），缺少first题组") all_tag_issues = [] for set_name, qset in [('first', qs1), ('second', qs2)]: for qi, q in enumerate(qset): prefix = f"{set_name}[{qi}]" q_errors, q_warnings, q_tag_issues = audit_question(q, req_fields, ftype) for e in q_errors: errors.append(f"{prefix}: {e}") for w in q_warnings: warnings.append(f"{prefix}: {w}") all_tag_issues.extend(q_tag_issues) # Consolidate tag issues tag_summary = {} for ti in all_tag_issues: tag_summary[ti] = tag_summary.get(ti, 0) + 1 return errors, warnings, notes, tag_summary, ftype, len(qs1), len(qs2), sid def format_result(errors, warnings, notes, tag_summary, ftype, n1, n2, sid): lines = [] if errors: lines.append(f"❌ 审校发现问题（{len(errors)}项错误）") elif warnings or notes: lines.append(f"⚠️ 审校通过（{len(warnings)}项建议 + {len(notes)}项备注）") else: lines.append("✅ 审校通过（无问题）") lines.append(f"题型：{ftype} | 题组：first={n1}题 second={n2}题") for n in notes: lines.append(f"📝 备注：{n}") if errors: lines.append(f"\n🔴 必须修改：") for e in errors: lines.append(f" - {e}") if tag_summary: lines.append(f"\n🟡 能力标签映射建议：") for tag, count in sorted(tag_summary.items()): lines.append(f" - {tag}（{count}处）") if warnings: lines.append(f"\n🟡 其他建议：") for w in warnings: lines.append(f" - {w}") return '\n'.join(lines) # ===== Main ===== targets = { "阅读-P1": {"table_id": "tblCgfYDnnqwLfgH", "filter_ids": ["032501"]}, "阅读-P3": {"table_id": "tbl4q0ZUV3HB54t1", "filter_ids": None}, "阅读-P4": {"table_id": "tblzKVm1FEukPgnN", "filter_ids": None}, "阅读-P5": {"table_id": "tblLmUxzzUDe0QAJ", "filter_ids": None}, } all_results = [] for name, config in targets.items(): cmd = f"bash {SKILL_SCRIPT} list_records {APP_TOKEN} {config['table_id']} 500" data = exec_bash(cmd) if data.get('code') != 0: continue for item in data['data']['items']: fields = item.get('fields', {}) sid = fields.get('题目集合 ID', '') or '' if '010199' in str(sid): continue if config['filter_ids'] and sid not in config['filter_ids']: continue if not sid: continue errors, warnings, notes, tag_summary, ftype, n1, n2, sid2 = audit_record(fields, item['record_id'], name) result_text = format_result(errors, warnings, notes, tag_summary, ftype, n1, n2, sid) print(f"\n{'='*60}") print(f"{name} | ID={sid}") print(f"{'='*60}") print(result_text) all_results.append({ "table_name": name, "table_id": config['table_id'], "record_id": item['record_id'], "sid": sid, "audit_text": result_text, "has_errors": len(errors) > 0, }) # Output backfill data print(f"\n\n===== BACKFILL ({len(all_results)} records) =====") print(json.dumps(all_results, ensure_ascii=False, indent=2))