fix: highlight full knowledge search terms

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: