fix: highlight full knowledge search terms

ai_knowledge_base_v2/apps/admin-web/src/components/KnowledgeManagementView.vue

@@ -388,20 +388,24 @@ function matchedLabel(values: string[]) {
   return labels.join("、");
 }
 
-function highlightSnippet(text: string) {
-  const keyword = contentSearch.keyword.trim();
-  if (!keyword) return [{ text, match: false }];
+function highlightSnippet(text: string, terms: string[] = []) {
+  const keywords = Array.from(new Set([...terms, contentSearch.keyword.trim()].filter(Boolean)))
+    .sort((left, right) => right.length - left.length);
+  if (!keywords.length) return [{ text, match: false }];
   const parts: Array<{ text: string; match: boolean }> = [];
   const source = text || "";
   const lowerSource = source.toLowerCase();
-  const lowerKeyword = keyword.toLowerCase();
   let cursor = 0;
   while (cursor < source.length) {
-    const index = lowerSource.indexOf(lowerKeyword, cursor);
-    if (index < 0) {
+    const next = keywords
+      .map((keyword) => ({ keyword, index: lowerSource.indexOf(keyword.toLowerCase(), cursor) }))
+      .filter((item) => item.index >= 0)
+      .sort((left, right) => left.index - right.index || right.keyword.length - left.keyword.length)[0];
+    if (!next) {
       parts.push({ text: source.slice(cursor), match: false });
       break;
     }
+    const { index, keyword } = next;
     if (index > cursor) parts.push({ text: source.slice(cursor, index), match: false });
     parts.push({ text: source.slice(index, index + keyword.length), match: true });
     cursor = index + keyword.length;
@@ -493,7 +497,7 @@ async function confirmAction(
             {{ item.knowledgeName }} · V{{ item.versionNo }} · {{ item.sectionKey }} · 命中{{ matchedLabel(item.matchedIn) }}
           </p>
           <p class="content-search-hit-snippet">
-            <template v-for="(part, index) in highlightSnippet(item.snippet)" :key="index">
+            <template v-for="(part, index) in highlightSnippet(item.snippet, item.highlightTerms)" :key="index">
               <mark v-if="part.match">{{ part.text }}</mark><span v-else>{{ part.text }}</span>
             </template>
           </p>

ai_knowledge_base_v2/apps/admin-web/src/types/api.ts

@@ -227,6 +227,7 @@ export interface KnowledgeContentSearchItem {
   sectionKey: string;
   title: string;
   snippet: string;
+  highlightTerms?: string[];
   matchedIn: Array<"title" | "content">;
   hasChunks: boolean;
   isCurrentVersion: boolean;

ai_knowledge_base_v2/apps/backend/app/api/admin_knowledge_lifecycle.py

@@ -657,6 +657,9 @@ def _merge_content_search_rows(rows, keyword: str, chunk_section_ids: set[int])
         for matched in _matched_in(str(row["title"] or ""), str(row["content"] or ""), keyword):
             if matched not in current["matchedIn"]:
                 current["matchedIn"].append(matched)
+        for term in _highlight_terms(str(row["title"] or ""), str(row["content"] or ""), keyword):
+            if term not in current["highlightTerms"]:
+                current["highlightTerms"].append(term)
         current["itemType"] = _primary_item_type(current["itemTypes"])
     return list(grouped.values())
 
@@ -688,6 +691,7 @@ def _content_search_item(row, keyword: str, has_chunks: bool) -> dict:
         "title": title,
         "snippet": _snippet(f"{title}\n{content}", keyword),
         "matchedIn": _matched_in(title, content, keyword),
+        "highlightTerms": _highlight_terms(title, content, keyword),
         "itemTypes": [row["item_type"]],
         "hasChunks": has_chunks,
         "isCurrentVersion": True,
@@ -712,6 +716,28 @@ def _matched_in(title: str, content: str, keyword: str) -> list[str]:
     return result or ["content"]
 
 
+def _highlight_terms(title: str, content: str, keyword: str) -> list[str]:
+    keyword = keyword.strip()
+    if not keyword:
+        return []
+    text = f"{title}\n{content}".lower()
+    terms = [keyword]
+    if keyword.lower() not in text:
+        terms.extend(_keyword_parts(keyword))
+    result: list[str] = []
+    for term in sorted({item.strip() for item in terms if item.strip()}, key=len, reverse=True):
+        if term.lower() in text and term not in result:
+            result.append(term)
+    return result or [keyword]
+
+
+def _keyword_parts(keyword: str) -> list[str]:
+    parts = [part for part in keyword.replace("，", " ").replace(",", " ").split() if part]
+    if parts:
+        return parts
+    return list(keyword) if len(keyword) <= 8 else []
+
+
 def _snippet(text: str, keyword: str, radius: int = 90) -> str:
     compact = " ".join(text.split())
     if not compact:

ai_knowledge_base_v2/apps/backend/tests/test_knowledge_admin.py

@@ -359,3 +359,25 @@ def test_content_search_can_exclude_closed_knowledge():
         assert included["data"]["total"] == 1
         assert included["data"]["items"][0]["canAgentUse"] is False
         assert excluded["data"]["total"] == 0
+
+
+def test_content_search_highlight_terms_keep_full_keyword():
+    with _database() as db:
+        item = _knowledge(db)
+        db.add(KnowledgeSection(
+            knowledge_id=item.id,
+            version_id=item.current_version_id,
+            section_key="S0002",
+            title="能力心密钥",
+            content="能力心钥用于说明能力心的核心方向。",
+            source_start=0,
+            source_end=10,
+            sort_order=1,
+            content_hash="highlight-section",
+        ))
+        db.commit()
+
+        response = content_search("心钥", includeClosed=True, page=1, pageSize=10, db=db, current_admin=_admin())
+
+        assert response["data"]["total"] == 1
+        assert response["data"]["items"][0]["highlightTerms"][0] == "心钥"