update knowledge base api:

1. list_kbs_from_db return all kbs by default instead of return kbs with
   file_count > 0 only.
2. KBServiceFactory.get_service_by_name could return a FaissKBService
   that not in the db

server/db/repository/knowledge_base_repository.py

@@ -13,8 +13,8 @@ def add_kb_to_db(session, kb_name, vs_type, embed_model):
 
 
 @with_session
-def list_kbs_from_db(session):
+def list_kbs_from_db(session, min_file_count: int = -1):
-    kbs = session.query(KnowledgeBaseModel.kb_name).filter(KnowledgeBaseModel.file_count > 0).all()
+    kbs = session.query(KnowledgeBaseModel.kb_name).filter(KnowledgeBaseModel.file_count > min_file_count).all()
     kbs = [kb[0] for kb in kbs]
     return kbs
 

server/knowledge_base/kb_api.py

@@ -12,7 +12,7 @@ async def list_kbs():
     return ListResponse(data=list_kbs_from_db())
 
 
-async def create_kb(knowledge_base_name: str = Body(..., examples=["kb_name"]),
+async def create_kb(knowledge_base_name: str = Body(..., examples=["samples"]),
                     vector_store_type: str = Body("faiss"),
                     embed_model: str = Body(EMBEDDING_MODEL),
                     ):
@@ -22,15 +22,17 @@ async def create_kb(knowledge_base_name: str = Body(..., examples=["kb_name"]),
     if knowledge_base_name is None or knowledge_base_name.strip() == "":
         return BaseResponse(code=404, msg="知识库名称不能为空，请重新填写知识库名称")
 
-    kb = KBServiceFactory.get_service(knowledge_base_name, vector_store_type, embed_model)
+    kb = KBServiceFactory.get_service_by_name(knowledge_base_name)
     if kb is not None:
         return BaseResponse(code=404, msg=f"已存在同名知识库 {knowledge_base_name}")
-    kb.create()
+
+    kb = KBServiceFactory.get_service(knowledge_base_name, vector_store_type, embed_model)
+    kb.create_kb()
     return BaseResponse(code=200, msg=f"已新增知识库 {knowledge_base_name}")
 
 
 async def delete_kb(
-        knowledge_base_name: str = Body(..., examples=["kb_name"])
+        knowledge_base_name: str = Body(..., examples=["samples"])
     ):
     # Delete selected knowledge base
     if not validate_kb_name(knowledge_base_name):

server/knowledge_base/kb_doc_api.py

@@ -12,7 +12,7 @@ from typing import Union
 
 
 async def list_docs(
-    knowledge_base_name: str = Body(..., examples=["kb_name"])
+    knowledge_base_name: str = Body(..., examples=["samples"])
 ):
     if not validate_kb_name(knowledge_base_name):
         return ListResponse(code=403, msg="Don't attack me", data=[])
@@ -60,7 +60,7 @@ async def upload_doc(file: UploadFile = File(description="上传文件"),
     return BaseResponse(code=200, msg=f"成功上传文件 {kb_file.filename}")
 
 
-async def delete_doc(knowledge_base_name: str = Body(..., examples=["kb_name"]),
+async def delete_doc(knowledge_base_name: str = Body(..., examples=["samples"]),
                      doc_name: str = Body(..., examples=["file_name"]),
                      delete_content: bool = Body(False),
                     ):
@@ -82,7 +82,7 @@ async def delete_doc(knowledge_base_name: str = Body(..., examples=["kb_name"]),
 
 
 async def update_doc(
-        knowledge_base_name: str = Body(..., examples=["kb_name"]),
+        knowledge_base_name: str = Body(..., examples=["samples"]),
         file_name: str = Body(..., examples=["file_name"]),
     ):
     '''
@@ -111,7 +111,7 @@ async def download_doc():
 
 
 async def recreate_vector_store(
-        knowledge_base_name: str = Body(..., examples=["kb_name"]),
+        knowledge_base_name: str = Body(..., examples=["samples"]),
         allow_empty_kb: bool = Body(True),
         vs_type: str = Body("faiss"),
     ):

server/knowledge_base/kb_service/base.py

@@ -1,7 +1,6 @@
 from abc import ABC, abstractmethod
 
 import os
-from functools import lru_cache
 
 from langchain.embeddings.base import Embeddings
 from langchain.docstore.document import Document
@@ -42,7 +41,7 @@ class KBService(ABC):
         """
         if not os.path.exists(self.doc_path):
             os.makedirs(self.doc_path)
-            self.do_create_kb()
+        self.do_create_kb()
         status = add_kb_to_db(self.kb_name, self.vs_type(), self.embed_model)
         return status
 
@@ -194,12 +193,15 @@ class KBServiceFactory:
             from server.knowledge_base.kb_service.milvus_kb_service import MilvusKBService
             return MilvusKBService(kb_name, embed_model=embed_model) # other milvus parameters are set in model_config.kbs_config
         elif SupportedVSType.DEFAULT == vector_store_type: # kb_exists of default kbservice is False, to make validation easier.
+            from server.knowledge_base.kb_service.default_kb_service import DefaultKBService
             return DefaultKBService(kb_name)
 
     @staticmethod
     def get_service_by_name(kb_name: str
                             ) -> KBService:
-        kb_name, vs_type, embed_model = load_kb_from_db(kb_name)
+        _, vs_type, embed_model = load_kb_from_db(kb_name)
+        if vs_type is None and os.path.isdir(get_kb_path(kb_name)): # faiss knowledge base not in db
+            vs_type = "faiss"
         return KBServiceFactory.get_service(kb_name, vs_type, embed_model)
 
     @staticmethod