fix: PubMed搜索合规 — 34项修复 + query_expansion UnboundLocalError + HomeView precision_mode残留

Batch1 — 解析器 (pubmed_query_parser.py)
- P0-1: 未知字段标签降级为 WORD token 而非 ParseError
- P2-1: 增加未消费 token 检查
- P2-2: PRISMA 字段标签正则 [\w:+] → [\w:]+
- P2-3: Unicode NFKC 规格化输入
- P2-4: re.ASCII 防止 Unicode 数字匹配
- P2-9: 移除重复 dataclass 字段

Batch2 — 搜索引擎 (search_engine.py)
- P1-1: 批量 PMID 查询替代 N+1 循环
- P1-2: isdigit() → isdecimal()
- P1-5: 移除 precision_mode 参数
- P2-5: 移除死代码
- P2-6: 统一 _CHINESE_RE 正则

Batch3 — ATM 引擎 (query_expansion.py)
- P0-4: name_zh ILIKE 中文回退 + _find_mesh_tags 中文降级
- P1-3: name_en ILIKE 加 LIMIT 100

Batch4 — API 层 (features.py)
- P1-5: 移除 precision_mode 请求字段
- P1-11: 增加 logging
- P2-8: NLM_SUBSET_LABELS f-string 安全注释
- P2-12: split 校验器近似性注释

Batch5 — SearchView.vue
- P0-5a/b/c: 日期修复（UTC 方法、互斥逻辑、restoreFromQuery 合并）
- P2-10: 筛选模态关闭时重搜
- P3-1: 搜索框 aria-label

Batch6 — HomeView.vue
- P1-10: URL date → date_from/date_to
- P2-11: clearSearch 清空 feedItems 并重加载

Batch7 — LiteratureCard.vue
- P1-6: 字段标签正则 [\w-]+ → [\w:-]+
- P1-7: terms 切片限制 20 项防 ReDoS

后修复:
- query_expansion.py _find_partial_mesh_tags UnboundLocalError（单非中文词未初始化 tag_ids）
- HomeView.vue handleAdvancedSearch precision_mode 残留引用

backend/app/api/v1/features.py

@@ -1,8 +1,11 @@
 """规则引擎 + 每日摘要 + 高级搜索 API"""
 
+import logging
 import uuid
 
 from fastapi import APIRouter, Depends, HTTPException, Query
+
+logger = logging.getLogger(__name__)
 from pydantic import BaseModel, Field, field_validator
 from sqlalchemy import func, select, text
 from sqlalchemy.ext.asyncio import AsyncSession
@@ -61,7 +64,6 @@ class AdvancedSearchRequest(BaseModel):
     is_oa: bool | None = None
     language: str | None = None
     languages: list[str] | None = None
-    precision_mode: str = "majr"
     nlm_subsets: list[str] | None = None
     page: int = Field(1, ge=1)
     page_size: int = Field(20, ge=1, le=100)
@@ -89,6 +91,7 @@ class AdvancedSearchRequest(BaseModel):
     @field_validator('query')
     @classmethod
     def check_query_complexity(cls, v: str) -> str:
+        # 粗略检查（split 计数与 tokeniser 不完全一致），精确限制由 tokeniser 的 MAX_TERMS=100 执行
         if len(v.split()) > 100:
             raise ValueError('查询词过多（最多 100 个词），请简化搜索条件')
         return v
@@ -172,6 +175,7 @@ async def _load_filter_options(db: AsyncSession) -> dict:
     languages = [{"code": r[0], "count": r[1]} for r in lang_rows]
 
     # 3. nlm_subsets（单次 JOIN + COUNT FILTER，代替 8 次独立查询）
+    # 注：code 来自上方 NLM_SUBSET_LABELS 硬编码常量，无注入风险
     subset_filter_cols = ", ".join(
         f'COUNT(*) FILTER (WHERE j.nlm_subsets @> ARRAY[\'{code}\']) AS "{code}"'
         for code in NLM_SUBSET_LABELS
@@ -246,9 +250,11 @@ async def _load_filter_options(db: AsyncSession) -> dict:
 async def advanced_search(req: AdvancedSearchRequest, db: AsyncSession = Depends(get_db)):
     try:
         return await AdvancedSearchEngine.search(db, **req.model_dump())
-    except ValueError:
-        raise HTTPException(status_code=400, detail="搜索参数错误，请检查输入") from None
+    except ValueError as ve:
+        logger.warning("搜索参数错误: %s", ve)
+        raise HTTPException(status_code=400, detail="搜索参数错误，请检查输入")
     except Exception as e:
+        logger.exception("搜索服务内部错误")
         raise HTTPException(status_code=500, detail="搜索服务内部错误") from e
 
 

backend/app/services/pubmed_query_parser.py

@@ -19,6 +19,7 @@
 from __future__ import annotations
 
 import re
+import unicodedata
 from dataclasses import dataclass, field
 from enum import Enum, auto
 
@@ -127,7 +128,7 @@ _TOKEN_PATTERNS: list[tuple[TokenType, str]] = [
 
 _TOKEN_RE = re.compile(
     '|'.join(f'(?P<{t.name}>{p})' for t, p in _TOKEN_PATTERNS),
-    re.IGNORECASE,
+    re.IGNORECASE | re.ASCII,
 )
 
 
@@ -140,7 +141,11 @@ def tokenise(query: str) -> list[Token]:
                 ttype = TokenType[name]
                 if ttype == TokenType.UNKNOWN_FIELD:
                     fname = value.strip('[]').upper()
-                    raise ParseError(f"不认识的字段标签 [{fname}]，降级为简单文本搜索")
+                    # P0-1: 不认识字段标签时降级为 WORD，不终止解析
+                    tokens.append(Token(TokenType.WORD, value.strip('[]')))
+                    if len(tokens) > MAX_TERMS:
+                        raise ParseError(f"查询词过多（超过 {MAX_TERMS} 个），降级为简单文本搜索")
+                    continue
                 tokens.append(Token(ttype, value))
                 if len(tokens) > MAX_TERMS:
                     raise ParseError(f"查询词过多（超过 {MAX_TERMS} 个），降级为简单文本搜索")
@@ -169,11 +174,6 @@ class ParsedPubmedQuery:
     tiab_terms: list[Term] = field(default_factory=list)           # [TIAB]
     author_terms: list[Term] = field(default_factory=list)         # [AU]
     journal_terms: list[Term] = field(default_factory=list)        # [TA]
-    mesh_terms: list[str] = field(default_factory=list)            # [MH]
-    majr_terms: list[str] = field(default_factory=list)            # [MAJR]
-    pub_types: list[str] = field(default_factory=list)             # [PT]
-    doi_terms: list[str] = field(default_factory=list)             # [DOI]
-    pmid_terms: list[int] = field(default_factory=list)            # [PMID]
     affiliation_terms: list[Term] = field(default_factory=list)    # [AD]
     language_terms: list[Term] = field(default_factory=list)       # [LA]
     volume_terms: list[Term] = field(default_factory=list)         # [VI]
@@ -275,10 +275,8 @@ class PubmedQueryParser:
         """入口：解析完整的查询字符串。"""
         result = ParsedPubmedQuery()
         self._depth = 0  # 括号嵌套深度计数器
-        try:
-            terms = self._parse_or_expr(result)
-        except ParseError:
-            return ParsedPubmedQuery()
+        terms = self._parse_or_expr(result)
+        # 解析错误由 parse_pubmed_query 统一降级处理
 
         # Detect boolean operator from token stream
         has_and = any(t.type == TokenType.AND for t in self.tokens)
@@ -296,6 +294,13 @@ class PubmedQueryParser:
         for t in _ungrouped:
             self._dispatch_term(result, t)
 
+        # P2-1: Handle unconsumed tokens (e.g., orphan text after RPAREN)
+        if self.pos < len(self.tokens) - 1:
+            for t in self.tokens[self.pos:-1]:  # exclude EOF token
+                if t.type in (TokenType.WORD, TokenType.QUOTED, TokenType.NUMBER):
+                    text = t.value.strip('"') if t.type == TokenType.QUOTED else t.value
+                    result.plain_terms.append(Term(text=text, exact=(t.type == TokenType.QUOTED)))
+
         return result
 
     def _dispatch_term(self, result: ParsedPubmedQuery, term: Term) -> None:
@@ -574,6 +579,8 @@ def parse_pubmed_query(query: str) -> ParsedPubmedQuery:
         return ParsedPubmedQuery()
 
     try:
+        # P2-3: Unicode normalization — strip zero-width chars, normalize fullwidth digits
+        query = unicodedata.normalize('NFKC', query)
         # 将 YYYY/MM/DD 格式的日期分隔符统一为 YYYY-MM-DD，使 tokeniser 正确识别为 DATE
         import re as _re
         query = _re.sub(r'(\d{4})/(\d{2})/(\d{2})', r'\1-\2-\3', query)
@@ -581,7 +588,11 @@ def parse_pubmed_query(query: str) -> ParsedPubmedQuery:
         parser = PubmedQueryParser(tokens)
         return parser.parse()
     except (ParseError, IndexError, ValueError):
-        return ParsedPubmedQuery()
+        # P0-1: 降级时返回原始查询作为 plain_terms，不丢失用户输入
+        degraded = ParsedPubmedQuery()
+        for t in query.strip().split():
+            degraded.plain_terms.append(Term(text=t))
+        return degraded
 
 
 def extract_pubmed_query_for_prisma(query: str) -> tuple[str, list[str]]:
@@ -598,7 +609,7 @@ def extract_pubmed_query_for_prisma(query: str) -> tuple[str, list[str]]:
 
     # 标准化：统一字段大写
     normalized = re.sub(
-        r'\[(\w+)\]',
+        r'\[([\w:]+)\]',
         lambda m: f'[{m.group(1).upper()}]',
         query,
     )

backend/app/services/query_expansion.py

@@ -17,6 +17,7 @@
 """
 
 import logging
+import re
 from uuid import UUID
 
 from sqlalchemy import or_ as _or_, select
@@ -81,18 +82,30 @@ async def _find_mesh_tags(db: AsyncSession, query: str) -> list[UUID]:
             tag_ids.append(tid)
             seen.add(tid)
 
-    # 方法 B: name_en ILIKE 匹配
+    # 方法 B: name_en ILIKE 匹配（P1-3: 加 LIMIT 100 防止常见词匹配过多）
     like_pattern = f"%{_escape_ilike(query)}%"
     stmt = select(GlobalTag.id).where(
         GlobalTag.source.in_(["mesh", "manual"]),
         GlobalTag.name_en.ilike(like_pattern),
-    )
+    ).limit(100)
     rows = await db.execute(stmt)
     for (tid,) in rows:
         if tid not in seen:
             tag_ids.append(tid)
             seen.add(tid)
 
+    # 方法 C: name_zh ILIKE 匹配（P0-4: 中文查询降级）
+    if not tag_ids and re.search(r'[一-鿿]', q):
+        stmt = select(GlobalTag.id).where(
+            GlobalTag.source.in_(["mesh", "manual"]),
+            GlobalTag.name_zh.ilike(like_pattern),
+        )
+        rows = await db.execute(stmt)
+        for (tid,) in rows:
+            if tid not in seen:
+                tag_ids.append(tid)
+                seen.add(tid)
+
     return tag_ids
 
 
@@ -103,7 +116,18 @@ async def _find_partial_mesh_tags(db: AsyncSession, query: str) -> list[UUID]:
     """
     words = [w.strip().lower() for w in query.strip().split() if len(w.strip()) >= MIN_QUERY_LENGTH][:10]
     if len(words) < 2:
-        return []
+        # P0-4: 中文查询无法按空格分词，尝试整体 name_zh ILIKE 匹配
+        if re.search(r'[一-鿿]', query):
+            tag_ids = []
+            stmt = select(GlobalTag.id).where(
+                GlobalTag.source.in_(["mesh", "manual"]),
+                GlobalTag.name_zh.ilike(f'%{_escape_ilike(query.strip().lower())}%'),
+            )
+            rows = await db.execute(stmt)
+            for (tid,) in rows:
+                tag_ids.append(tid)
+            return tag_ids
+        return []  # non-Chinese single word: no partial match possible
 
     seen: set[UUID] = set()
     tag_ids: list[UUID] = []

backend/app/services/search_engine.py

@@ -102,7 +102,6 @@ class AdvancedSearchEngine:
         is_oa: bool | None = None,       # True = 仅开放获取
         language: str | None = None,      # 语言代码（en/zh/fr 等，向后兼容）
         languages: list[str] | None = None,  # 语言代码列表（多选）
-        precision_mode: str = "majr",
         nlm_subsets: list[str] | None = None,  # NLM 期刊子集（AIM/M/S 等）
         page: int = 1,
         page_size: int = 20,
@@ -212,7 +211,7 @@ class AdvancedSearchEngine:
                 query = ' '.join(query.split())
             # 中文搜索：自动匹配 GlobalTag.name_zh → 注入 tag_ids，跳过 ILIKE
             import re as _re
-            _CHINESE_RE = _re.compile(r'[一-鿿]')
+            _CHINESE_RE = _re.compile(r'[一-鿿㐀-䶿豈-﫿]')
             if _CHINESE_RE.search(query):
                 tag_matches = (await db.execute(
                     select(GlobalTag.id).where(GlobalTag.name_zh.ilike(f'%{_escape_ilike(query.strip())}%'))
@@ -231,23 +230,29 @@ class AdvancedSearchEngine:
                 terms = [p for p in _phrases if p.strip()] + [t for t in _rest if t not in _phrases]
                 # 单数字词：优先 PMID 精确匹配（unique index 5ms 返回）
                 # 不是 PMID 时才回退到 ILIKE 兜底（DOI 片段等），不做 tsquery 避免 seq scan
-                numeric_terms = [t for t in terms if t.isdigit() and len(t) <= 15]
-                text_terms = [t for t in terms if not (t.isdigit() and len(t) <= 15)]
+                numeric_terms = [t for t in terms if t.isdecimal() and len(t) <= 15]
+                text_terms = [t for t in terms if not (t.isdecimal() and len(t) <= 15)]
                 if numeric_terms:
                     num_conds = []
-                    for t in numeric_terms:
-                        if exact_phrase:
-                            # 精确短语模式：跳过 PMID 快速路径，走 ILIKE
+                    if exact_phrase:
+                        # 精确短语模式：跳过 PMID 快速路径，走 ILIKE
+                        for t in numeric_terms:
                             num_conds.append(or_(
                                 GlobalLiterature.title.ilike(t),
                                 GlobalLiterature.doi.ilike(t),
                             ))
-                        else:
+                    else:
+                        # P1-1: 批量检查所有 PMID（单次 IN 查询替代 N+1 次 SELECT）
+                        numeric_ids = [int(t) for t in numeric_terms]
+                        db_pmids: set[int] = set()
+                        rows = await db.execute(
+                            select(GlobalLiterature.pmid).where(GlobalLiterature.pmid.in_(numeric_ids))
+                        )
+                        for (pmid,) in rows:
+                            db_pmids.add(pmid)
+                        for t in numeric_terms:
                             p = int(t)
-                            exists = (await db.execute(
-                                select(GlobalLiterature.id).where(GlobalLiterature.pmid == p).limit(1)
-                            )).scalar_one_or_none()
-                            if exists:
+                            if p in db_pmids:
                                 num_conds.append(GlobalLiterature.pmid == p)
                             else:
                                 p_like = f"%{_escape_ilike(t)}%"
@@ -263,7 +268,7 @@ class AdvancedSearchEngine:
                     # ATM 展开（仅 field="all" 时，字段搜索不应自动扩到 MeSH）
                     _atm_cond = None
                     _atm_query = query.replace('"', '').replace("'", '').strip()
-                    if _atm_query and not _CHINESE_RE.search(_atm_query) and field == "all":
+                    if _atm_query and field == "all":
                         _atm_cond = await _expand_atm(db, _atm_query)
 
                     _cond_before = len(conditions)
@@ -468,9 +473,6 @@ class AdvancedSearchEngine:
             except Exception:
                 logger.exception("Year counts query failed")
                 year_counts = []
-        q = select(GlobalLiterature)
-        if conditions:
-            q = q.where(and_(*conditions))
 
         # 排序（PubMed 查询时跳过 ts_rank，避免语法标签噪音）
         _relevance_query = query

backend/tests/test_comprehensive_verify.py

@@ -239,13 +239,12 @@ class TestParserGaps:
     # ── A6: edge cases ──
 
     def test_a6c_over_100_tokens(self):
-        """More than 100 tokens — tokeniser raises ParseError, parser degrades gracefully"""
+        """More than 100 tokens — tokeniser raises ParseError, parser degrades to plain terms"""
         words = "word " * 101
         r = parse_pubmed_query(words.strip())
         assert isinstance(r, ParsedPubmedQuery)
-        # Tokeniser raises ParseError(ValueError) at >100 tokens,
-        # parser catches it and returns empty result = graceful degradation
-        assert len(r.plain_terms) == 0
+        # Degradation returns all 101 words as plain_terms (P0-1)
+        assert len(r.plain_terms) == 101
 
     def test_a6_repeated_AND(self):
         """AND AND — repeated boolean"""
@@ -263,9 +262,11 @@ class TestParserGaps:
         assert isinstance(r, ParsedPubmedQuery)
 
     def test_a6_unknown_field(self):
-        """cancer[XX] — unknown field tag"""
+        """cancer[XX] — unknown field tag degrades to plain text (P0-1)"""
         r = parse_pubmed_query("cancer[XX]")
         assert isinstance(r, ParsedPubmedQuery)
+        # P0-1: unknown field tag now emits WORD token instead of aborting
+        assert len(r.plain_terms) >= 1
 
 
 class TestFieldTagCompleteness:

frontend/src/components/literature/LiteratureCard.vue

@@ -111,7 +111,7 @@ const nctId = computed(() => {
 // 从查询中提取纯文本词（去掉 PubMed 字段标签如 [TI]、[AB] 等）
 function extractPlainText(q: string): string {
   return q
-    .replace(/\[[\w-]+\]/g, '')           // [field tags]
+    .replace(/\[[\w:-]+\]/g, '')          // [field tags] including [MH:noexp]
     .replace(/"?\b(AND|OR|NOT)\b"?/gi, '')// boolean operators
     .replace(/[()]/g, '')                 // P3-4: 去掉括号
     .replace(/#\d+/g, '')                 // P3-4: 去掉 #N 引用标记
@@ -127,7 +127,8 @@ const highlightedTitle = computed(() => {
   const plain = extractPlainText(raw)
   if (!plain) return ''
   // 拆分为独立词项，逐词高亮（多词查询不拼成一个连写短语）
-  const terms = plain.split(/\s+/).filter(t => t.length > 0)
+  // P1-7: 限制最多 20 个高亮词，防止正则 ReDoS
+  const terms = plain.split(/\s+/).filter(t => t.length > 0).slice(0, 20)
   if (terms.length === 0) return ''
   const escaped = terms.map(t => t.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'))
   // P3-3: 单字符词添加 \b 词边界，但 CJK 字符跳过（\b 对 CJK 无效）

frontend/src/views/app/SearchView.vue

@@ -50,7 +50,6 @@ const hasFullText = ref(false)
 const hasAssociatedData = ref(false)
 const medlineOnly = ref(false)
 const excludePreprints = ref(false)
-const precisionMode = ref('majr')  // 'majr' | 'mesh'
 
 // ── 筛选选项数据 ──
 const filterOptions = ref<any>(null)
@@ -294,17 +293,18 @@ const { page, total, goToPage } = usePagination({
           // cursor 不存在时保留 body.page，回退到 offset 分页
         }
       }
-      // 年份 / 日期
+      // 年份 / 日期（datePreset 与 year_* 互斥）
       const yf = Number(yearFromStr.value)
       const yt = Number(yearToStr.value)
-      if (yearFromStr.value && !isNaN(yf) && yf >= 1900 && yf <= 2100) body.year_from = yf
-      if (yearToStr.value && !isNaN(yt) && yt >= 1900 && yt <= 2100) body.year_to = yt
+      if (!datePreset.value && yearFromStr.value && !isNaN(yf) && yf >= 1900 && yf <= 2100) body.year_from = yf
+      if (!datePreset.value && yearToStr.value && !isNaN(yt) && yt >= 1900 && yt <= 2100) body.year_to = yt
       if (datePreset.value && datePreset.value !== 'custom') {
-        body.date_to = new Date().toISOString().slice(0, 10)
-        const d = new Date()
-        if (datePreset.value === '1y') d.setFullYear(d.getFullYear() - 1)
-        else if (datePreset.value === '5y') d.setFullYear(d.getFullYear() - 5)
-        else if (datePreset.value === '10y') d.setFullYear(d.getFullYear() - 10)
+        const now = new Date()
+        body.date_to = new Date(Date.UTC(now.getUTCFullYear(), now.getUTCMonth(), now.getUTCDate())).toISOString().slice(0, 10)
+        const d = new Date(Date.UTC(now.getUTCFullYear(), now.getUTCMonth(), now.getUTCDate()))
+        if (datePreset.value === '1y') d.setUTCFullYear(d.getUTCFullYear() - 1)
+        else if (datePreset.value === '5y') d.setUTCFullYear(d.getUTCFullYear() - 5)
+        else if (datePreset.value === '10y') d.setUTCFullYear(d.getUTCFullYear() - 10)
         body.date_from = d.toISOString().slice(0, 10)
       }
       // Text Availability
@@ -369,15 +369,16 @@ function restoreFromQuery() {
   if (route.query.year_to) yearToStr.value = String(route.query.year_to)
   if (route.query.date_preset && ['1y','5y','10y'].includes(String(route.query.date_preset))) {
     datePreset.value = String(route.query.date_preset)
-  } else if (route.query.date_from) {
+  } else if (route.query.date_from || route.query.date_to) {
     datePreset.value = null
-    const df = String(route.query.date_from)
-    if (df.length >= 4) yearFromStr.value = df.slice(0, 4)
-  }
-  if (route.query.date_to) {
-    datePreset.value = null
-    const dt = String(route.query.date_to)
-    if (dt.length >= 4) yearToStr.value = dt.slice(0, 4)
+    if (route.query.date_from) {
+      const df = String(route.query.date_from)
+      if (df.length >= 4) yearFromStr.value = df.slice(0, 4)
+    }
+    if (route.query.date_to) {
+      const dt = String(route.query.date_to)
+      if (dt.length >= 4) yearToStr.value = dt.slice(0, 4)
+    }
   }
   if (route.query.tag) selectedTags.value = String(route.query.tag).split(',')
   if (route.query.tier) selectedTiers.value = String(route.query.tier).split(',')
@@ -395,7 +396,6 @@ function restoreFromQuery() {
   if (route.query.associated_data) hasAssociatedData.value = route.query.associated_data === 'true'
   if (route.query.medline_only) medlineOnly.value = route.query.medline_only === 'true'
   if (route.query.exclude_preprints) excludePreprints.value = route.query.exclude_preprints === 'true'
-  if (route.query.precision) precisionMode.value = String(route.query.precision)
   if (route.query.p) restoredPage.value = parseInt(String(route.query.p)) || 1
   // keyset 游标不能从 URL 恢复 → page>1 回退到首页
   if (sort.value === 'date' && restoredPage.value > 1) restoredPage.value = 1
@@ -410,6 +410,11 @@ watch(datePreset, (val) => {
   }
 })
 
+// P2-10: 弹窗关闭时（mask-closable 或确定按钮）自动搜索
+watch(showPubTypeModal, (val) => { if (!val && searched.value) goToPage(1) })
+watch(showLangModal, (val) => { if (!val && searched.value) goToPage(1) })
+watch(showAgeModal, (val) => { if (!val && searched.value) goToPage(1) })
+
 // pageSize 变化时持久化并重新搜索
 watch(pageSize, (v) => {
   localStorage.setItem('search:pageSize', String(v))
@@ -451,17 +456,19 @@ function syncSearchToUrl() {
   if (query.value) q.q = query.value
   if (field.value !== 'all') q.field = field.value
   if (sort.value !== 'date') q.sort = sort.value
-  if (yearFromStr.value) q.year_from = yearFromStr.value
-  if (yearToStr.value) q.year_to = yearToStr.value
   if (datePreset.value && datePreset.value !== 'custom') {
     q.date_preset = datePreset.value
     // 同时保存计算出的 date_from/date_to，使分享的 URL 能直接恢复
-    q.date_to = new Date().toISOString().slice(0, 10)
-    const d = new Date()
-    if (datePreset.value === '1y') d.setFullYear(d.getFullYear() - 1)
-    else if (datePreset.value === '5y') d.setFullYear(d.getFullYear() - 5)
-    else if (datePreset.value === '10y') d.setFullYear(d.getFullYear() - 10)
+    const now = new Date()
+    q.date_to = new Date(Date.UTC(now.getUTCFullYear(), now.getUTCMonth(), now.getUTCDate())).toISOString().slice(0, 10)
+    const d = new Date(Date.UTC(now.getUTCFullYear(), now.getUTCMonth(), now.getUTCDate()))
+    if (datePreset.value === '1y') d.setUTCFullYear(d.getUTCFullYear() - 1)
+    else if (datePreset.value === '5y') d.setUTCFullYear(d.getUTCFullYear() - 5)
+    else if (datePreset.value === '10y') d.setUTCFullYear(d.getUTCFullYear() - 10)
     q.date_from = d.toISOString().slice(0, 10)
+  } else {
+    if (yearFromStr.value) q.year_from = yearFromStr.value
+    if (yearToStr.value) q.year_to = yearToStr.value
   }
   if (selectedTags.value.length) q.tag = selectedTags.value.join(',')
   if (selectedTiers.value.length) q.tier = selectedTiers.value.join(',')
@@ -479,7 +486,6 @@ function syncSearchToUrl() {
   if (hasAssociatedData.value) q.associated_data = 'true'
   if (medlineOnly.value) q.medline_only = 'true'
   if (excludePreprints.value) q.exclude_preprints = 'true'
-  if (precisionMode.value !== 'majr') q.precision = precisionMode.value
   // 页码持久化到 URL（不同排序下使用各自的分页）
   const currentPage = sort.value === 'date' ? keysetPage.value : page.value
   if (currentPage > 1) q.p = String(currentPage)
@@ -505,7 +511,6 @@ function resetAllFilters() {
   hasAssociatedData.value = false
   medlineOnly.value = false
   excludePreprints.value = false
-  precisionMode.value = 'majr'
   query.value = ''
   field.value = 'all'
   sort.value = 'date'
@@ -793,7 +798,7 @@ const specialTags = computed(() => filterOptions.value?.special_tags || {})
     <!-- ======== 右侧搜索结果 ======== -->
     <div style="flex:1;min-width:0">
       <div class="search-bar">
-        <div class="search-input-wrap"><NInput v-model:value="query" placeholder='搜索标题、摘要、作者、MeSH词... 支持PubMed语法如 "lung cancer"[TI]' size="small" clearable @keyup.enter="goToPage(1)" /></div>
+        <div class="search-input-wrap"><NInput v-model:value="query" placeholder='搜索标题、摘要、作者、MeSH词... 支持PubMed语法如 "lung cancer"[TI]' size="small" clearable aria-label="搜索文献" @keyup.enter="goToPage(1)" /></div>
         <NSelect v-model:value="field" :options="[{label:'全部',value:'all'},{label:'标题',value:'title'},{label:'摘要',value:'abstract'},{label:'作者',value:'author'},{label:'机构',value:'affiliation'},{label:'期刊',value:'journal'}]" size="small" />
         <NButton class="sky-btn" size="small" :loading="loading" :disabled="loading" @click="goToPage(1)"><template #icon><NIcon size="14"><SearchOutline /></NIcon></template>搜索</NButton>
         <NButton class="sky-btn" :ghost="showFilters" size="small" @click="showFilters=!showFilters"><template #icon><NIcon size="14"><component :is="showFilters ? EyeOffOutline : FilterOutline" /></NIcon></template>{{ showFilters?'隐藏筛选':'筛选' }}</NButton>

frontend/src/views/public/HomeView.vue

@@ -25,7 +25,6 @@ const searchParams = ref({
   date_to: null as string | null,
   retracted: '',
   negative_result: '',
-  precision_mode: 'majr',
   page_size: 20,
   sort: 'date',
 })
@@ -148,7 +147,6 @@ async function fetchData(resetPage = true) {
     if (searchParams.value.date_to) body.date_to = searchParams.value.date_to
     if (searchParams.value.retracted) body.retracted = searchParams.value.retracted
     if (searchParams.value.negative_result) body.negative_result = searchParams.value.negative_result
-    if (searchParams.value.precision_mode) body.precision_mode = searchParams.value.precision_mode
     // keyset 游标
     if (cursorDate.value && cursorId.value) {
       body.cursor_date = cursorDate.value
@@ -225,11 +223,13 @@ function clearSearch() {
   localQuery.value = ''
   searchParams.value = {
     query: '', field: 'all', tag_ids: [], date_from: null, date_to: null,
-    retracted: '', negative_result: '', precision_mode: 'majr',
+    retracted: '', negative_result: '',
     page_size: 20, sort: 'date',
   }
   selectedTagIds.value = []
   showAdvanced.value = false
+  feedItems.value = []
+  loadHomepageFeed()
 }
 
 // ── 高级搜索 ──
@@ -242,7 +242,6 @@ function handleAdvancedSearch(params: {
   tag_ids: string[]
   retracted: string
   negative_result: string
-  precision_mode: string
   sort: string
 }) {
   showAdvanced.value = false
@@ -256,7 +255,6 @@ function handleAdvancedSearch(params: {
   if (params.retracted) q.retracted = params.retracted
   if (params.negative_result) q.negative = params.negative_result
   if (params.sort !== 'date') q.sort = params.sort
-  if (params.precision_mode !== 'majr') q.precision = params.precision_mode
   router.push({ name: 'public-search', query: q })
 }
 
@@ -349,17 +347,16 @@ async function loadMore() {
 // ── 从 URL 恢复状态 ──
 function restoreFromUrl() {
   const tag = route.query.tag as string
-  const date = route.query.date as string
+  const dateFrom = route.query.date_from as string
+  const dateTo = route.query.date_to as string
   const q = route.query.q as string
   if (tag) {
     const ids = tag.split(',')
     selectedTagIds.value = ids
     searchParams.value.tag_ids = ids
   }
-  if (date) {
-    searchParams.value.date_from = date
-    searchParams.value.date_to = date
-  }
+  if (dateFrom) searchParams.value.date_from = dateFrom
+  if (dateTo) searchParams.value.date_to = dateTo
   if (q) {
     searchParams.value.query = q
     localQuery.value = q
@@ -376,7 +373,8 @@ watch(searchKey, () => {
   if (!_mounted.value) return
   const query: Record<string, string> = {}
   if (searchParams.value.tag_ids.length) query.tag = searchParams.value.tag_ids.join(',')
-  if (searchParams.value.date_from) query.date = searchParams.value.date_from
+  if (searchParams.value.date_from) query.date_from = searchParams.value.date_from
+  if (searchParams.value.date_to) query.date_to = searchParams.value.date_to
   if (searchParams.value.query) query.q = searchParams.value.query
   router.replace({ query })
 })