update api.py

api.py

@@ -22,6 +22,7 @@ from configs.model_config import (VS_ROOT_PATH, UPLOAD_ROOT_PATH, EMBEDDING_DEVI
 
 nltk.data.path = [NLTK_DATA_PATH] + nltk.data.path
 
+
 class BaseResponse(BaseModel):
     code: int = pydantic.Field(200, description="HTTP status code")
     msg: str = pydantic.Field("success", description="HTTP status message")
@@ -87,40 +88,8 @@ def get_vs_path(local_doc_id: str):
 def get_file_path(local_doc_id: str, doc_name: str):
     return os.path.join(UPLOAD_ROOT_PATH, local_doc_id, doc_name)
 
-async def single_upload_file(
-        file: UploadFile = File(description="A single binary file"),
-        knowledge_base_id: str = Form(..., description="Knowledge Base Name", example="kb1"),
-):
-    saved_path = get_folder_path(knowledge_base_id)
-    if not os.path.exists(saved_path):
-        os.makedirs(saved_path)
 
-    file_content = await file.read()  # 读取上传文件的内容
+async def upload_files(
-
-    file_path = os.path.join(saved_path, file.filename)
-    if os.path.exists(file_path) and os.path.getsize(file_path) == len(file_content):
-        file_status = f"文件 {file.filename} 已存在。"
-        return BaseResponse(code=200, msg=file_status)
-
-    with open(file_path, "wb") as f:
-        f.write(file_content)
-
-    vs_path = get_vs_path(knowledge_base_id)
-    if os.path.exists(vs_path):
-        added_files = await local_doc_qa.add_files_to_knowledge_vector_store(vs_path, [file_path])
-        if len(added_files) > 0:
-            file_status = f"文件 {file.filename} 已上传并已加载知识库，请开始提问。"
-            return BaseResponse(code=200, msg=file_status)
-    else:
-        vs_path, loaded_files = await local_doc_qa.init_knowledge_vector_store([file_path], vs_path)
-        if len(loaded_files) > 0:
-            file_status = f"文件 {file.filename} 已上传至新的知识库，并已加载知识库，请开始提问。"
-            return BaseResponse(code=200, msg=file_status)
-
-    file_status = "文件上传失败，请重新上传"
-    return BaseResponse(code=500, msg=file_status)
-
-async def upload_file(
         files: Annotated[
             List[UploadFile], File(description="Multiple files as UploadFile")
         ],
@@ -203,7 +172,7 @@ async def delete_docs(
     return BaseResponse()
 
 
-async def chat(
+async def local_doc_chat(
         knowledge_base_id: str = Body(..., description="Knowledge Base Name", example="kb1"),
         question: str = Body(..., description="Question", example="工伤保险是什么？"),
         history: List[List[str]] = Body(
@@ -238,7 +207,8 @@ async def chat(
         source_documents=source_documents,
     )
 
-async def no_knowledge_chat(
+
+async def chat(
         question: str = Body(..., description="Question", example="工伤保险是什么？"),
         history: List[List[str]] = Body(
             [],
@@ -251,7 +221,6 @@ async def no_knowledge_chat(
             ],
         ),
 ):
-
     for resp, history in local_doc_qa.llm._call(
             prompt=question, history=history, streaming=True
     ):
@@ -264,6 +233,7 @@ async def no_knowledge_chat(
         source_documents=[],
     )
 
+
 async def stream_chat(websocket: WebSocket, knowledge_base_id: str):
     await websocket.accept()
     vs_path = os.path.join(VS_ROOT_PATH, knowledge_base_id)
@@ -329,16 +299,19 @@ def main():
             allow_credentials=True,
             allow_methods=["*"],
             allow_headers=["*"],
-    )
+        )
-    app.websocket("/chat-docs/stream-chat/{knowledge_base_id}")(stream_chat)
+    app.websocket("/local_doc_qa/stream-chat/{knowledge_base_id}")(stream_chat)
-    app.post("/chat-docs/chat", response_model=ChatMessage)(chat)
+
-    app.post("/chat-docs/chatno", response_model=ChatMessage)(no_knowledge_chat)
-    app.post("/chat-docs/upload", response_model=BaseResponse)(upload_file)
-    app.post("/chat-docs/uploadone", response_model=BaseResponse)(single_upload_file)
-    app.get("/chat-docs/list", response_model=ListDocsResponse)(list_docs)
-    app.delete("/chat-docs/delete", response_model=BaseResponse)(delete_docs)
     app.get("/", response_model=BaseResponse)(document)
 
+    app.post("/chat", response_model=ChatMessage)(chat)
+
+    app.post("/local_doc_qa/upload_files", response_model=BaseResponse)(upload_files)
+    app.post("/local_doc_qa/local_doc_chat", response_model=ChatMessage)(local_doc_chat)
+    app.get("/local_doc_qa/list_files", response_model=ListDocsResponse)(list_docs)
+    app.delete("/local_doc_qa/delete_file", response_model=BaseResponse)(delete_docs)
+
+
     local_doc_qa = LocalDocQA()
     local_doc_qa.init_cfg(
         llm_model=LLM_MODEL,