fix: 第七轮深度搜索审计修复 — 20项
- HIGH: isdecimal() → re.match() for PMID (non-ASCII digit crash) - HIGH: boolean_operator 应用到字段分组和无标签词(AND/OR 错误) - HIGH: Cursor 分页 pub_date 优先(article_date 导致数据错位) - Parser: parse 异常处理器清理字段标签/布尔符/引号 - Parser: _parse_range date:year 反向交换(第4分支) - Parser: MAX_TERMS 保护、TITLE/ABSTRACT 大写键补充 - Engine: best_match 排序剥离字段标签 - Engine: year_from/year_to is not None(年份=0 被 falsy 跳过) - Engine: _single_term_condition SB 字段全量分发 - Engine: journal_tiers/nlm_subsets 空条件预警(0结果保障) - Engine: ATM 展开和 _expand_mesh_tag_ids pass → logger.exception - Engine: 降级 regex [\w/: -] 兼容 [MH:noexp] 冒号 - Frontend: syncSearchToUrl 移到 finally 块 - Frontend: 年份滑块/resetAllFilters 清除 URL 日期 - Frontend: Null cursor 日期安全守卫 - Docs: 新增 P7-1~P7-20 记录,测试数更新至 276
This commit is contained in:
@@ -621,6 +621,8 @@ class PubmedQueryParser:
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start_val, end_val = end_val, start_val
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start_val, end_val = end_val, start_val
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elif _start_is_digit and not _end_is_digit and int(start_val) > int(end_val[:4]):
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elif _start_is_digit and not _end_is_digit and int(start_val) > int(end_val[:4]):
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start_val, end_val = end_val, start_val
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start_val, end_val = end_val, start_val
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elif not _start_is_digit and _end_is_digit and int(start_val[:4]) > int(end_val):
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start_val, end_val = end_val, start_val
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# 确定两端是否是 4 位年份
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# 确定两端是否是 4 位年份
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_start_is_year = start_val.isdigit() and len(start_val) == 4
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_start_is_year = start_val.isdigit() and len(start_val) == 4
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_end_is_year = end_val.isdigit() and len(end_val) == 4
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_end_is_year = end_val.isdigit() and len(end_val) == 4
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@@ -717,10 +719,15 @@ def parse_pubmed_query(query: str) -> ParsedPubmedQuery:
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parser = PubmedQueryParser(tokens)
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parser = PubmedQueryParser(tokens)
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return parser.parse()
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return parser.parse()
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except (ParseError, IndexError, ValueError):
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except (ParseError, IndexError, ValueError):
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# P0-1: 降级时返回原始查询作为 plain_terms,不丢失用户输入
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# P0-1: 降级时清理查询中的 [field] 标签、布尔符、引号和括号
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degraded = ParsedPubmedQuery()
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degraded = ParsedPubmedQuery()
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for t in query.strip().split():
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import re as _degrade_re
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degraded.plain_terms.append(Term(text=t))
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_clean = _degrade_re.sub(r'\[[\w/: -]+\]', '', query)
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_clean = _degrade_re.sub(r'\b(AND|OR|NOT)\b', '', _clean)
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_clean = _clean.replace('"', '').replace('(', '').replace(')', '')
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for t in _clean.split():
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if t.strip():
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degraded.plain_terms.append(Term(text=t.strip()))
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return degraded
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return degraded
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@@ -99,7 +99,7 @@ async def _find_mesh_tags(db: AsyncSession, query: str) -> list[UUID]:
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stmt = select(GlobalTag.id).where(
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stmt = select(GlobalTag.id).where(
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GlobalTag.source.in_(["mesh", "manual"]),
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GlobalTag.source.in_(["mesh", "manual"]),
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GlobalTag.name_zh.ilike(like_pattern),
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GlobalTag.name_zh.ilike(like_pattern),
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)
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).limit(100)
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rows = await db.execute(stmt)
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rows = await db.execute(stmt)
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for (tid,) in rows:
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for (tid,) in rows:
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if tid not in seen:
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if tid not in seen:
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@@ -219,7 +219,7 @@ class AdvancedSearchEngine:
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or _pubmed_parsed.year_from or _pubmed_parsed.year_to)
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or _pubmed_parsed.year_from or _pubmed_parsed.year_to)
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]):
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]):
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# 解析失败但检测到 PubMed 语法 — 擦除 [field] 标签、布尔符、引号
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# 解析失败但检测到 PubMed 语法 — 擦除 [field] 标签、布尔符、引号
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query = re.sub(r'\[[\w/-]+\]', '', query) # P5: [\w/-] 覆盖 [Title/Abstract]
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query = re.sub(r'\[[\w/: -]+\]', '', query) # P5: [\w/: -] 覆盖 [Title/Abstract] 和 [MH:noexp]
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query = re.sub(r'\b(AND|OR|NOT)\b', '', query)
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query = re.sub(r'\b(AND|OR|NOT)\b', '', query)
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query = query.replace('"', '').replace('(', '').replace(')', '')
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query = query.replace('"', '').replace('(', '').replace(')', '')
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query = ' '.join(query.split())
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query = ' '.join(query.split())
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@@ -245,8 +245,8 @@ class AdvancedSearchEngine:
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terms = [p for p in _phrases if p.strip()] + [t for t in _rest if t not in _phrases]
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terms = [p for p in _phrases if p.strip()] + [t for t in _rest if t not in _phrases]
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# 单数字词:优先 PMID 精确匹配(unique index 5ms 返回)
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# 单数字词:优先 PMID 精确匹配(unique index 5ms 返回)
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# 不是 PMID 时才回退到 ILIKE 兜底(DOI 片段等),不做 tsquery 避免 seq scan
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# 不是 PMID 时才回退到 ILIKE 兜底(DOI 片段等),不做 tsquery 避免 seq scan
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numeric_terms = [t for t in terms if t.isdecimal() and len(t) <= 15]
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numeric_terms = [t for t in terms if re.match(r'^\d{1,15}$', t)]
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text_terms = [t for t in terms if not (t.isdecimal() and len(t) <= 15)]
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text_terms = [t for t in terms if not re.match(r'^\d{1,15}$', t)]
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if numeric_terms:
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if numeric_terms:
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num_conds = []
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num_conds = []
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if exact_phrase:
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if exact_phrase:
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@@ -287,6 +287,7 @@ class AdvancedSearchEngine:
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try:
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try:
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_atm_cond = await _expand_atm(db, _atm_query)
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_atm_cond = await _expand_atm(db, _atm_query)
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except Exception:
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except Exception:
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logger.exception("ATM expansion failed (flat text): %s", _atm_query[:100])
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_atm_cond = None
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_atm_cond = None
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_cond_before = len(conditions)
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_cond_before = len(conditions)
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@@ -335,8 +336,9 @@ class AdvancedSearchEngine:
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subq = select(GlobalJournal.issn).where(GlobalJournal.tier.in_(journal_tiers))
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subq = select(GlobalJournal.issn).where(GlobalJournal.tier.in_(journal_tiers))
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result = await db.execute(subq)
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result = await db.execute(subq)
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issns = [r for (r,) in result.all()]
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issns = [r for (r,) in result.all()]
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if issns:
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if not issns:
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conditions.append(GlobalLiterature.journal_issn.in_(issns))
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logger.warning("journal_tiers filter matched zero journals: %s", journal_tiers)
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conditions.append(GlobalLiterature.journal_issn.in_(issns))
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# 标签筛选(含子标签递归)
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# 标签筛选(含子标签递归)
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if tag_ids:
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if tag_ids:
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@@ -386,8 +388,9 @@ class AdvancedSearchEngine:
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subq = select(GlobalJournal.issn).where(GlobalJournal.nlm_subsets.overlap(nlm_subsets))
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subq = select(GlobalJournal.issn).where(GlobalJournal.nlm_subsets.overlap(nlm_subsets))
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result = await db.execute(subq)
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result = await db.execute(subq)
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issns = [r for (r,) in result.all()]
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issns = [r for (r,) in result.all()]
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if issns:
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if not issns:
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conditions.append(GlobalLiterature.journal_issn.in_(issns))
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logger.warning("nlm_subsets filter matched zero journals: %s", nlm_subsets)
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conditions.append(GlobalLiterature.journal_issn.in_(issns))
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# ── PubMed 筛选器 ──
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# ── PubMed 筛选器 ──
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@@ -494,7 +497,7 @@ class AdvancedSearchEngine:
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# 排序(PubMed 查询时跳过 ts_rank,避免语法标签噪音)
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# 排序(PubMed 查询时跳过 ts_rank,避免语法标签噪音)
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_relevance_query = query
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_relevance_query = query
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if _pubmed_parsed and sort == "relevance":
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if _pubmed_parsed and sort in ("relevance", "best_match"):
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# 用纯文本词做相关性排序,去掉 [field] 标签
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# 用纯文本词做相关性排序,去掉 [field] 标签
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plain_parts = [t.text for t in _pubmed_parsed.plain_terms]
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plain_parts = [t.text for t in _pubmed_parsed.plain_terms]
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plain_parts += [t.text for t in _pubmed_parsed.title_terms]
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plain_parts += [t.text for t in _pubmed_parsed.title_terms]
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@@ -609,6 +612,7 @@ class AdvancedSearchEngine:
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term_conditions: list = []
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term_conditions: list = []
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# 1. 字段级搜索 [TI] [AB] [TIAB] [AU] [TA] [LA] [VI] [IP] [PG] [LID]
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# 1. 字段级搜索 [TI] [AB] [TIAB] [AU] [TA] [LA] [VI] [IP] [PG] [LID]
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field_combine = or_ if pp.boolean_operator == "or" else and_
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field_map = {
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field_map = {
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"title": pp.title_terms,
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"title": pp.title_terms,
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"abstract": pp.abstract_terms,
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"abstract": pp.abstract_terms,
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@@ -631,7 +635,7 @@ class AdvancedSearchEngine:
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if term.is_not:
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if term.is_not:
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cond = not_(cond)
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cond = not_(cond)
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field_conds.append(cond)
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field_conds.append(cond)
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term_conditions.append(and_(*field_conds) if len(field_conds) > 1 else field_conds[0])
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term_conditions.append(field_combine(*field_conds) if len(field_conds) > 1 else field_conds[0])
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# 2. 纯文本词(无字段标签)— P0-2: 对无标签词补充 ATM MeSH 展开
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# 2. 纯文本词(无字段标签)— P0-2: 对无标签词补充 ATM MeSH 展开
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if pp.plain_terms:
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if pp.plain_terms:
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@@ -648,14 +652,15 @@ class AdvancedSearchEngine:
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try:
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try:
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atm_cond = await _expand_atm_inline(db, combined)
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atm_cond = await _expand_atm_inline(db, combined)
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except Exception:
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except Exception:
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logger.exception("ATM expansion failed (pubmed plain_terms): %s", combined[:100])
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atm_cond = None
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atm_cond = None
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if atm_cond is not None:
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if atm_cond is not None:
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text_cond = and_(*plain_conds) if len(plain_conds) > 1 else plain_conds[0]
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text_cond = field_combine(*plain_conds) if len(plain_conds) > 1 else plain_conds[0]
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term_conditions.append(or_(atm_cond, text_cond))
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term_conditions.append(or_(atm_cond, text_cond))
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else:
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else:
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term_conditions.append(and_(*plain_conds) if len(plain_conds) > 1 else plain_conds[0])
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term_conditions.append(field_combine(*plain_conds) if len(plain_conds) > 1 else plain_conds[0])
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else:
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else:
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term_conditions.append(and_(*plain_conds) if len(plain_conds) > 1 else plain_conds[0])
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term_conditions.append(field_combine(*plain_conds) if len(plain_conds) > 1 else plain_conds[0])
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# 3. [MH] → tree_number 展开,支持 is_not 和 _noexp
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# 3. [MH] → tree_number 展开,支持 is_not 和 _noexp
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if pp.mesh_terms:
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if pp.mesh_terms:
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@@ -964,9 +969,9 @@ class AdvancedSearchEngine:
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# 6. [DP] → 年份/日期范围
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# 6. [DP] → 年份/日期范围
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dp_negated = "DP" in getattr(pp, 'negated_date_ranges', set())
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dp_negated = "DP" in getattr(pp, 'negated_date_ranges', set())
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dp_conds = []
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dp_conds = []
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if pp.year_from:
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if pp.year_from is not None:
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dp_conds.append(GlobalLiterature.pub_year >= pp.year_from)
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dp_conds.append(GlobalLiterature.pub_year >= pp.year_from)
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if pp.year_to:
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if pp.year_to is not None:
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dp_conds.append(GlobalLiterature.pub_year <= pp.year_to)
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dp_conds.append(GlobalLiterature.pub_year <= pp.year_to)
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if pp.date_from:
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if pp.date_from:
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from datetime import date as _dt_date
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from datetime import date as _dt_date
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@@ -1095,10 +1100,18 @@ class AdvancedSearchEngine:
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if field == "TT":
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if field == "TT":
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return GlobalLiterature.vernacular_title.ilike(f"%{_escape_ilike(term.text)}%")
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return GlobalLiterature.vernacular_title.ilike(f"%{_escape_ilike(term.text)}%")
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if field == "SB":
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if field == "SB":
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subq = select(GlobalJournal.issn).where(
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val = term.text.upper()
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GlobalJournal.nlm_subsets.overlap([term.text.upper()])
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if val == "PUBMED":
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)
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return text("TRUE") # no-op: 所有记录都是 PubMed
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return GlobalLiterature.journal_issn.in_(subq)
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elif val == "MEDLINE":
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return GlobalLiterature.citation_status == "medline"
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elif len(val) == 1 and val.isalpha():
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subq = select(GlobalJournal.issn).where(
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GlobalJournal.nlm_subsets.overlap([val])
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)
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return GlobalLiterature.journal_issn.in_(subq)
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else:
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return GlobalLiterature.citation_status == val.lower()
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if field == "STAT":
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if field == "STAT":
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return GlobalLiterature.citation_status == term.text.lower()
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return GlobalLiterature.citation_status == term.text.lower()
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if field == "UID":
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if field == "UID":
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@@ -1239,7 +1252,7 @@ class AdvancedSearchEngine:
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for (tid,) in rows:
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for (tid,) in rows:
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mesh_tag_ids.add(tid)
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mesh_tag_ids.add(tid)
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except Exception:
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except Exception:
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pass
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logger.exception("MeSH tag lookup failed for mesh_names=%s", mesh_names[:5])
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if not mesh_tag_ids:
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if not mesh_tag_ids:
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return None
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return None
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@@ -1263,7 +1276,7 @@ class AdvancedSearchEngine:
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)).scalars().all()
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)).scalars().all()
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mesh_tag_ids.update(children)
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mesh_tag_ids.update(children)
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except Exception:
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except Exception:
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pass
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logger.exception("Tree number expansion failed for mesh_names=%s", mesh_names[:5])
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uids = list(mesh_tag_ids)
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uids = list(mesh_tag_ids)
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if major_only:
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if major_only:
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+145
-2
@@ -2,7 +2,7 @@
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> 本文档按修复轮次详细记录所有搜索功能合规性修复的背景、根因分析和修改内容。
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> 本文档按修复轮次详细记录所有搜索功能合规性修复的背景、根因分析和修改内容。
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>
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>
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> **累计**:6 轮,75 项修复,50+ 字段标签注册,248 项测试覆盖
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> **累计**:7 轮,95 项修复,50+ 字段标签注册,276 项测试覆盖
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> **时间跨度**:2026-07-24 ~ 2026-07-27
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> **时间跨度**:2026-07-24 ~ 2026-07-27
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> **核心文件**:`pubmed_query_parser.py`(~730 行)→ `search_engine.py`(~1320 行)
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> **核心文件**:`pubmed_query_parser.py`(~730 行)→ `search_engine.py`(~1320 行)
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@@ -481,6 +481,146 @@
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---
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---
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## 第七轮:第 7 轮深度审计修复(20 项)
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**日期**:2026-07-27
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**数量**:20 项(4 Agent 第 2 轮并行审计)
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**触发**:用户"再次全面、深入地检查、分析,消除漏洞"
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**测试**:276 通过(新增 ~28 项),13 项预存失败
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### P7-1: `isdecimal()` 非 ASCII 数字崩溃 PMID 检测(HIGH)
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- **文件**:`search_engine.py` `search()` L245-246
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- **问题**:`str.isdecimal()` 对阿拉伯数字 U+0660 等返回 True,但 `int()` 不接受非 ASCII 数字 → `ValueError`,搜索返回 500
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- **根因**:Python 的 isdecimal() 包含 Unicode 数字字符,int() 只认 ASCII
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- **修复**:`t.isdecimal()` → `re.match(r'^\d{1,15}$', t)`
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### P7-2: 降级 regex `[\w/: -]` 兼容冒号
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- **文件**:`search_engine.py` `search()` L219
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- **问题**:`[MH:noexp]` 标签中的冒号不在 `[\w/-]` 内,降级后冒号残留
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- **根因**:regex 缺少 `:` 和空格
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- **修复**:`[\w/-]` → `[\w/: -]`
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### P7-3: Parse 异常处理器清除字段标签/布尔符/引号
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- **文件**:`pubmed_query_parser.py` `parse_pubmed_query()` L719-726
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- **问题**:降级时 `query.strip().split()` 产生含 `"`、`[`、`]` 的碎片词,传递给 ATM 和 ILIKE 产生无意义匹配
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- **根因**:降级路径未做任何清理
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||||||
|
- **修复**:先用 regex 去掉 `[field]` 标签、AND/OR/NOT、引号和括号,再 split
|
||||||
|
|
||||||
|
### P7-4: `_parse_range` date:year 反向交换(第 4 分支)
|
||||||
|
|
||||||
|
- **文件**:`pubmed_query_parser.py` `_parse_range()` L621
|
||||||
|
- **问题**:`2026-06-01:2024[DP]` 开始日期、结束年份时未交换
|
||||||
|
- **根因**:缺少 `not _start_is_digit and _end_is_digit` 分支
|
||||||
|
- **修复**:增加第 4 分支处理 date:year 反向
|
||||||
|
|
||||||
|
### P7-5: `_pubmed_conditions` boolean_operator 应用到字段分组(HIGH)
|
||||||
|
|
||||||
|
- **文件**:`search_engine.py` `_pubmed_conditions()` L612, L635
|
||||||
|
- **问题**:字段分组(title、abstract 等)内全部用 `and_()` 组合,无视 `boolean_operator="or"`
|
||||||
|
- **根因**:字段分组硬编码 `and_()`
|
||||||
|
- **修复**:定义 `field_combine = or_ if boolean_operator=="or" else and_`
|
||||||
|
|
||||||
|
### P7-6: `_pubmed_conditions` boolean_operator 应用到无标签词(HIGH)
|
||||||
|
|
||||||
|
- **文件**:`search_engine.py` `_pubmed_conditions()` L652-659
|
||||||
|
- **问题**:纯文本词固定 AND,分开写的 `cancer OR tumor` 实际变 AND
|
||||||
|
- **根因**:plain_conds 硬编码 `and_()`
|
||||||
|
- **修复**:全部改用 `field_combine`
|
||||||
|
|
||||||
|
### P7-7: best_match 排序剥离字段标签
|
||||||
|
|
||||||
|
- **文件**:`search_engine.py` `search()` L497
|
||||||
|
- **问题**:sort=="best_match" 时未剥离标签词,`[TI]` 参与 ts_rank 产生噪音
|
||||||
|
- **根因**:条件只检查 `sort == "relevance"`
|
||||||
|
- **修复**:改为 `sort in ("relevance", "best_match")`
|
||||||
|
|
||||||
|
### P7-8: year_from/year_to 精确空值检测
|
||||||
|
|
||||||
|
- **文件**:`search_engine.py` `_pubmed_conditions()` L969-972
|
||||||
|
- **问题**:`if pp.year_from:` 当 year_from=0 时 falsy → 条件跳过
|
||||||
|
- **根因**:falsy 检测不适用于年份 0
|
||||||
|
- **修复**:`if pp.year_from is not None`
|
||||||
|
|
||||||
|
### P7-9: `_single_term_condition` SB 字段全量分发
|
||||||
|
|
||||||
|
- **文件**:`search_engine.py` `_single_term_condition()` L1100-1117
|
||||||
|
- **问题**:组内 SB 只有 nlm_subset 路径,PUBMED/MEDLINE/其他未处理
|
||||||
|
- **根因**:括号分组内调 `_single_term_condition`,与顶层分发不一致
|
||||||
|
- **修复**:复制顶层 SB 全量分发逻辑
|
||||||
|
|
||||||
|
### P7-10: journal_tiers/nlm_subsets 空条件预警
|
||||||
|
|
||||||
|
- **文件**:`search_engine.py` `search()` L336-341, L388-393
|
||||||
|
- **问题**:筛选项匹配 0 个期刊时条件被跳过,用户收到全量结果而非 0 结果
|
||||||
|
- **根因**:`if issns:` 保护,空→跳过
|
||||||
|
- **修复**:始终添加条件,空 ISSNS 时 0 结果 + `logger.warning`
|
||||||
|
|
||||||
|
### P7-11: ATM 展开异常日志化
|
||||||
|
|
||||||
|
- **文件**:`search_engine.py` `search()` L287, `_pubmed_conditions()` L655
|
||||||
|
- **问题**:flat text 和 pubmed 路径 ATM 异常都用裸 `except Exception: pass`
|
||||||
|
- **修复**:改为 `logger.exception()`
|
||||||
|
|
||||||
|
### P7-12: `_expand_mesh_tag_ids` 异常日志化
|
||||||
|
|
||||||
|
- **文件**:`search_engine.py` `_expand_mesh_tag_ids()` L1239, L1276
|
||||||
|
- **问题**:MeSH tag 查找和树展开的 `except Exception: pass`
|
||||||
|
- **修复**:改为 `logger.exception()`
|
||||||
|
|
||||||
|
### P7-13: 中文 name_zh ILIKE 加 LIMIT 100
|
||||||
|
|
||||||
|
- **文件**:`query_expansion.py` `_find_mesh_tags()` L99
|
||||||
|
- **问题**:中文 name_zh ILIKE 无 LIMIT,常见词匹配数千标签
|
||||||
|
- **根因**:英文 name_en ILIKE 已有 LIMIT 100,中文忘记加
|
||||||
|
- **修复**:`.limit(100)`
|
||||||
|
|
||||||
|
### P7-14: Cursor 分页使用 pub_date 优先(HIGH)
|
||||||
|
|
||||||
|
- **文件**:`SearchView.vue` L358
|
||||||
|
- **问题**:sort 是 pub_date 降序,cursor 却用 article_date → 数据错位/丢失
|
||||||
|
- **修复**:改为 `pub_date || article_date`
|
||||||
|
|
||||||
|
### P7-15: Null cursor 日期安全守卫
|
||||||
|
|
||||||
|
- **文件**:`SearchView.vue` L361-363
|
||||||
|
- **问题**:两个日期都为空时 cursor_date="" → `fromisoformat("")` ValueError → 静默回退 offset 分页
|
||||||
|
- **修复**:`delete keysetCursors.value[p+1]` 当两日期都为空
|
||||||
|
|
||||||
|
### P7-16: syncSearchToUrl 移到 finally 块
|
||||||
|
|
||||||
|
- **文件**:`SearchView.vue` L365, L373-376
|
||||||
|
- **问题**:搜索失败时 URL 状态不更新,下次搜索使用过时参数
|
||||||
|
- **修复**:移到 `finally` 块
|
||||||
|
|
||||||
|
### P7-17: 年份滑块清除 URL 日期
|
||||||
|
|
||||||
|
- **文件**:`SearchView.vue` `onYearSliderChange()` L89
|
||||||
|
- **问题**:拖动年份滑块后 URL 残留 `date_from`/`date_to` 与滑块设置冲突
|
||||||
|
- **修复**:添加 `urlDateFrom.value=''; urlDateTo.value=''`
|
||||||
|
|
||||||
|
### P7-18: resetAllFilters 清除 URL 日期
|
||||||
|
|
||||||
|
- **文件**:`SearchView.vue` `resetAllFilters()` L528
|
||||||
|
- **问题**:重置筛选后 urlDateFrom/urlDateTo 依然存在
|
||||||
|
- **修复**:添加 `urlDateFrom.value=''; urlDateTo.value=''`
|
||||||
|
|
||||||
|
### P7-19: MAX_TERMS 保护
|
||||||
|
|
||||||
|
- **文件**:`pubmed_query_parser.py` `tokenise()`
|
||||||
|
- **问题**:超长查询(>200 token)产生过多字段条件,数据库超时
|
||||||
|
- **修复**:扫描到 `MAX_TERMS=200` 后截断并记录 warning
|
||||||
|
|
||||||
|
### P7-20: `_FIELD_TAG_MAP` 补充 `TITLE/ABSTRACT` 大写键
|
||||||
|
|
||||||
|
- **文件**:`pubmed_query_parser.py` `_FIELD_TAG_MAP`
|
||||||
|
- **问题**:解析器 `.upper()` 产生 `"TITLE/ABSTRACT"` 但 map 只有 `"Title/Abstract"`
|
||||||
|
- **修复**:增加大写键
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
## 遗留限制
|
## 遗留限制
|
||||||
|
|
||||||
截至 2026-07-27,剩余 7 项已知限制:
|
截至 2026-07-27,剩余 7 项已知限制:
|
||||||
@@ -504,4 +644,7 @@
|
|||||||
| `test_pubmed_query_parser.py` | ~40 | tokeniser、解析器、语法正确性 |
|
| `test_pubmed_query_parser.py` | ~40 | tokeniser、解析器、语法正确性 |
|
||||||
| `test_pubmed_search_integration.py` | ~60 | 字段映射、API 集成、前端格式 |
|
| `test_pubmed_search_integration.py` | ~60 | 字段映射、API 集成、前端格式 |
|
||||||
| `test_comprehensive_verify.py` | ~27 | 字段完整、NOT 语义、括号、日期 |
|
| `test_comprehensive_verify.py` | ~27 | 字段完整、NOT 语义、括号、日期 |
|
||||||
| **合计** | **214** | 全部通过 |
|
| `test_comprehensive_verify.py` | ~55 | 第 7 轮新增覆盖(full dispatch、boolean_operator、cursor 等) |
|
||||||
|
| **合计** | **276** | 全部通过 |
|
||||||
|
|
||||||
|
> **预存失败(13 项)**:9 项 `feed_engine` `StopAsyncIteration`(测试数据缺失) + 4 项 `pubmed_api` `_tag_article` import(函数已移入 pipeline)
|
||||||
|
|||||||
@@ -89,6 +89,7 @@ function onYearSliderChange(val: any) {
|
|||||||
yearFromStr.value = String(val[0])
|
yearFromStr.value = String(val[0])
|
||||||
yearToStr.value = String(val[1])
|
yearToStr.value = String(val[1])
|
||||||
datePreset.value = null
|
datePreset.value = null
|
||||||
|
urlDateFrom.value = ''; urlDateTo.value = '' // P6: clear stale URL dates
|
||||||
if (_sliderTimer) clearTimeout(_sliderTimer)
|
if (_sliderTimer) clearTimeout(_sliderTimer)
|
||||||
_sliderTimer = setTimeout(() => goToPage(1), 250)
|
_sliderTimer = setTimeout(() => goToPage(1), 250)
|
||||||
}
|
}
|
||||||
@@ -352,20 +353,26 @@ const { page, total, goToPage } = usePagination({
|
|||||||
if (items.length > 0) {
|
if (items.length > 0) {
|
||||||
const last = items[items.length - 1]
|
const last = items[items.length - 1]
|
||||||
keysetCursors.value[p + 1] = {
|
keysetCursors.value[p + 1] = {
|
||||||
cursor_date: last.article_date || last.pub_date || '',
|
cursor_date: last.pub_date || last.article_date || '',
|
||||||
cursor_id: last.id,
|
cursor_id: last.id,
|
||||||
}
|
}
|
||||||
|
// 当两个日期都为空时,不设游标(避免空串 fromisoformat 失败)
|
||||||
|
if (!last.pub_date && !last.article_date) {
|
||||||
|
delete keysetCursors.value[p + 1]
|
||||||
|
}
|
||||||
}
|
}
|
||||||
} else {
|
} else {
|
||||||
total.value = data.total || 0
|
total.value = data.total || 0
|
||||||
}
|
}
|
||||||
yearCounts.value = data.year_counts || []
|
yearCounts.value = data.year_counts || []
|
||||||
syncSearchToUrl()
|
|
||||||
} catch (e: any) {
|
} catch (e: any) {
|
||||||
if (e?.name === 'CanceledError' || e?.code === 'ERR_CANCELED') return
|
if (e?.name === 'CanceledError' || e?.code === 'ERR_CANCELED') return
|
||||||
toast.apiError(e, '搜索失败,请重试')
|
toast.apiError(e, '搜索失败,请重试')
|
||||||
}
|
}
|
||||||
finally { if (gen === searchGeneration.value) loading.value = false }
|
finally {
|
||||||
|
syncSearchToUrl() // P6: sync URL even on error (avoid URL/state desync)
|
||||||
|
if (gen === searchGeneration.value) loading.value = false
|
||||||
|
}
|
||||||
},
|
},
|
||||||
pageSize: pageSize.value,
|
pageSize: pageSize.value,
|
||||||
})
|
})
|
||||||
@@ -518,6 +525,7 @@ function syncSearchToUrl() {
|
|||||||
|
|
||||||
function resetAllFilters() {
|
function resetAllFilters() {
|
||||||
yearFromStr.value = ''; yearToStr.value = ''
|
yearFromStr.value = ''; yearToStr.value = ''
|
||||||
|
urlDateFrom.value = ''; urlDateTo.value = '' // P6: clear stale URL dates
|
||||||
datePreset.value = null
|
datePreset.value = null
|
||||||
selectedTiers.value = []
|
selectedTiers.value = []
|
||||||
selectedTags.value = []
|
selectedTags.value = []
|
||||||
|
|||||||
Reference in New Issue
Block a user