add a new api to search content by keyword for es

server/api.py

@@ -144,7 +144,7 @@ def mount_knowledge_routes(app: FastAPI):
     from server.knowledge_base.kb_doc_api import (list_files, upload_docs, delete_docs,
                                                 update_docs, download_doc, recreate_vector_store,
                                                 search_docs, DocumentWithVSId, update_info,
-                                                update_docs_by_id,)
+                                                update_docs_by_id,search_content,Document)
 
     app.post("/chat/knowledge_base_chat",
              tags=["Chat"],
@@ -189,6 +189,12 @@ def mount_knowledge_routes(app: FastAPI):
              summary="搜索知识库"
              )(search_docs)
 
+    app.post("/knowledge_base/search_content",
+             tags=["Knowledge Base Management"],
+             response_model=List[Document],
+             summary="搜索文档库"
+             )(search_content)
+    
     app.post("/knowledge_base/update_docs_by_id",
              tags=["Knowledge Base Management"],
              response_model=BaseResponse,

server/knowledge_base/kb_doc_api.py

@@ -80,6 +80,20 @@ def search_docs(
             data = kb.list_docs(file_name=file_name, metadata=metadata)
     return data
 
+def search_content(
+        query: str = Body("", description="用户输入", examples=["国网安徽信通准入手续"]),
+        knowledge_base_name: str = Body(..., description="知识库名称", examples=["samples"]),
+        top_k: int = Body(2, description="匹配文档数"),
+        )-> List[Document]:
+    print("kb_doc_api search_content")
+    kb = KBServiceFactory.get_service_by_name(knowledge_base_name)
+    if kb is not None:
+        if query:
+            docs = kb.search_content(query, top_k)
+            print(f"search_content, docs:{docs}")
+            return docs
+    else:
+        return None
 
 def update_docs_by_id(
         knowledge_base_name: str = Body(..., description="知识库名称", examples=["samples"]),

server/knowledge_base/kb_service/base.py

@@ -181,6 +181,14 @@ class KBService(ABC):
         docs = self.do_search(query, top_k, score_threshold)
         return docs
 
+    def search_content(self,
+                    query: str,
+                    top_k: int,
+                    )->List[Document]:
+        print("KBService search_content")
+        docs = self.searchbyContent(query,top_k)
+        return docs
+    
     def get_doc_by_ids(self, ids: List[str]) -> List[Document]:
         return []
 
@@ -266,6 +274,16 @@ class KBService(ABC):
         """
         pass
 
+    @abstractmethod
+    def searchbyContent(self,
+                    query: str,
+                    top_k: int,
+                    )->List[Document]:
+        """
+        搜索知识库子类实自己逻辑
+        """
+        pass
+        
     @abstractmethod
     def do_add_doc(self,
                    docs: List[Document],

server/knowledge_base/kb_service/default_kb_service.py

@@ -36,3 +36,6 @@ class DefaultKBService(KBService):
 
     def do_delete_doc(self):
         pass
+
+    def searchbyContent(self):
+        pass

server/knowledge_base/kb_service/es_kb_service.py

@@ -156,6 +156,28 @@ class ESKBService(KBService):
                                          k=top_k)
         return docs
 
+    def searchbyContent(self, query:str, top_k: int = 2):
+        if self.es_client_python.indices.exists(index=self.index_name):
+            print(f"******ESKBService searchByContent {self.index_name}")
+            tem_query = {
+                "query": {"match": {
+                        "context": "*" + query + "*"
+                    }}
+                }
+            search_results = self.es_client_python.search(index=self.index_name, body=tem_query, size=top_k)
+            hits = [hit for hit in search_results["hits"]["hits"]]
+            docs_and_scores = [
+                (
+                    Document(
+                        page_content=hit["_source"]["context"],
+                        metadata=hit["_source"]["metadata"],
+                    )
+                )
+                for hit in hits
+            ]
+
+            return docs_and_scores
+        
     def del_doc_by_ids(self, ids: List[str]) -> bool:
         for doc_id in ids:
             try: