fix conflict between def_fastchat and pr1037

configs/config.py

@@ -1,14 +0,0 @@
-kbs_config = {
-    "faiss": {
-    },
-    "milvus": {
-        "host": "127.0.0.1",
-        "port": "19530",
-        "user": "",
-        "password": "",
-        "secure": False,
-    },
-    "pg": {
-        "connection_uri": "postgresql://postgres:postgres@192.168.50.128:5432/langchain_chatgml",
-    }
-}

configs/model_config.py.example

@@ -149,7 +149,20 @@ BING_SEARCH_URL = "https://api.bing.microsoft.com/v7.0/search"
 # 是因为服务器加了防火墙，需要联系管理员加白名单，如果公司的服务器的话，就别想了GG
 BING_SUBSCRIPTION_KEY = ""
 
-
+kbs_config = {
+    "faiss": {
+    },
+    "milvus": {
+        "host": "127.0.0.1",
+        "port": "19530",
+        "user": "",
+        "password": "",
+        "secure": False,
+    },
+    "pg": {
+        "connection_uri": "postgresql://postgres:postgres@192.168.50.128:5432/langchain_chatgml",
+    }
+}
 
 # 是否开启中文标题加强，以及标题增强的相关配置
 # 通过增加标题判断，判断哪些文本为标题，并在metadata中进行标记；

server/db/repository/knowledge_file_repository.py

@@ -1,5 +1,3 @@
-import datetime
-
 from server.db.models.knowledge_base_model import KnowledgeBaseModel
 from server.db.models.knowledge_file_model import KnowledgeFileModel
 from server.db.session import with_session
@@ -24,11 +22,15 @@ def add_doc_to_db(session, kb_file: KnowledgeFile):
             existing_file.file_version += 1
         # 否则，添加新文件
         else:
-            session.add(KnowledgeFileModel(file_name=kb_file.filename,
-                                           file_ext=kb_file.ext,
-                                           document_loader_name=kb_file.document_loader_name,
-                                           text_splitter_name=kb_file.text_splitter_name
-                                           ))
+            new_file = KnowledgeFileModel(
+                file_name=kb_file.filename,
+                file_ext=kb_file.ext,
+                kb_name=kb_file.kb_name,
+                document_loader_name=kb_file.document_loader_name,
+                text_splitter_name=kb_file.text_splitter_name,
+            )
+            kb.file_count += 1
+            session.add(new_file)
     return True
 
 

server/knowledge_base/kb_service/base.py

@@ -5,11 +5,10 @@ import os
 from langchain.embeddings.base import Embeddings
 from langchain.docstore.document import Document
 
-from configs.config import kbs_config
 from server.db.repository.knowledge_base_repository import add_kb_to_db, delete_kb_from_db, list_kbs_from_db, kb_exists, load_kb_from_db
 from server.db.repository.knowledge_file_repository import add_doc_to_db, delete_file_from_db, doc_exists, \
     list_docs_from_db
-from configs.model_config import (DB_ROOT_PATH,  VECTOR_SEARCH_TOP_K,
+from configs.model_config import (DB_ROOT_PATH, kbs_config, VECTOR_SEARCH_TOP_K,
                                   embedding_model_dict, EMBEDDING_DEVICE, EMBEDDING_MODEL)
 from server.knowledge_base.utils import (get_kb_path, get_doc_path, load_embeddings, KnowledgeFile)
 from typing import List, Union

server/knowledge_base/kb_service/pg_kb_service.py

@@ -5,10 +5,9 @@ from langchain.schema import Document
 from langchain.vectorstores import PGVector
 from sqlalchemy import text
 
-from configs.config import kbs_config
-from configs.model_config import EMBEDDING_DEVICE
-from server.knowledge_base.kb_service.base import KBService, load_embeddings, SupportedVSType
-from server.knowledge_base.utils import KnowledgeFile
+from configs.model_config import EMBEDDING_DEVICE, kbs_config
+from server.knowledge_base.kb_service.base import SupportedVSType
+from server.knowledge_base.utils import KBService, load_embeddings, KnowledgeFile
 
 
 class PGKBService(KBService):