update api and webui:

1. add download_doc to api
2. return local path or http url in kowledge_base_chat depends on
   no_remote_api
3. change assistant avater in webui

server/api.py

@@ -14,7 +14,7 @@ from server.chat import (chat, knowledge_base_chat, openai_chat,
                          search_engine_chat)
 from server.knowledge_base.kb_api import list_kbs, create_kb, delete_kb
 from server.knowledge_base.kb_doc_api import (list_docs, upload_doc, delete_doc,
-                                              update_doc, recreate_vector_store)
+                                              update_doc, download_doc, recreate_vector_store)
 from server.utils import BaseResponse, ListResponse
 
 nltk.data.path = [NLTK_DATA_PATH] + nltk.data.path
@@ -101,6 +101,10 @@ def create_app():
              summary="更新现有文件到知识库"
              )(update_doc)
 
+    app.get("/knowledge_base/download_doc",
+            tags=["Knowledge Base Management"],
+            summary="下载对应的知识文件")(download_doc)
+
     app.post("/knowledge_base/recreate_vector_store",
              tags=["Knowledge Base Management"],
              summary="根据content中文档重建向量库，流式输出处理进度。"

server/chat/knowledge_base_chat.py

@@ -1,4 +1,4 @@
-from fastapi import Body
+from fastapi import Body, Request
 from fastapi.responses import StreamingResponse
 from configs.model_config import (llm_model_dict, LLM_MODEL, PROMPT_TEMPLATE,
                                   VECTOR_SEARCH_TOP_K)
@@ -15,6 +15,7 @@ from server.chat.utils import History
 from server.knowledge_base.kb_service.base import KBService, KBServiceFactory
 import json
 import os
+from urllib.parse import urlencode
 
 
 def knowledge_base_chat(query: str = Body(..., description="用户输入", examples=["你好"]),
@@ -29,6 +30,8 @@ def knowledge_base_chat(query: str = Body(..., description="用户输入", examp
                                                            "content": "虎头虎脑"}]]
                                                       ),
                         stream: bool = Body(False, description="流式输出"),
+                        local_doc_url: bool = Body(False, description="知识文件返回本地路径(true)或URL(false)"),
+                        request: Request = None,
                         ):
     kb = KBServiceFactory.get_service_by_name(knowledge_base_name)
     if kb is None:
@@ -64,10 +67,16 @@ def knowledge_base_chat(query: str = Body(..., description="用户输入", examp
             callback.done),
         )
 
-        source_documents = [
+        source_documents = []
-            f"""出处 [{inum + 1}] [{os.path.split(doc.metadata["source"])[-1]}] \n\n{doc.page_content}\n\n"""
+        for inum, doc in enumerate(docs):
-            for inum, doc in enumerate(docs)
+            filename = os.path.split(doc.metadata["source"])[-1]
-        ]
+            if local_doc_url:
+                url = "file://" + doc.metadata["source"]
+            else:
+                parameters = urlencode({"knowledge_base_name": knowledge_base_name, "file_name":filename})
+                url = f"{request.base_url}knowledge_base/download_doc?" + parameters
+            text = f"""出处 [{inum + 1}] [{filename}]({url}) \n\n{doc.page_content}\n\n"""
+            source_documents.append(text)
 
         if stream:
             async for token in callback.aiter():

server/knowledge_base/kb_doc_api.py

@@ -1,10 +1,10 @@
 import os
 import urllib
-from fastapi import File, Form, Body, UploadFile
+from fastapi import File, Form, Body, Query, UploadFile
 from configs.model_config import DEFAULT_VS_TYPE, EMBEDDING_MODEL
 from server.utils import BaseResponse, ListResponse
 from server.knowledge_base.utils import validate_kb_name, list_docs_from_folder, KnowledgeFile
-from fastapi.responses import StreamingResponse
+from fastapi.responses import StreamingResponse, FileResponse
 import json
 from server.knowledge_base.kb_service.base import KBServiceFactory
 from typing import List
@@ -104,9 +104,32 @@ async def update_doc(
         return BaseResponse(code=500, msg=f"{kb_file.filename} 文件更新失败")
 
 
-async def download_doc():
+async def download_doc(
-    # TODO: 下载文件
+        knowledge_base_name: str = Query(..., examples=["samples"]),
-    pass
+        file_name: str = Query(..., examples=["test.txt"]),
+    ):
+    '''
+    下载知识库文档
+    '''
+    if not validate_kb_name(knowledge_base_name):
+        return BaseResponse(code=403, msg="Don't attack me")
+
+    kb = KBServiceFactory.get_service_by_name(knowledge_base_name)
+    if kb is None:
+        return BaseResponse(code=404, msg=f"未找到知识库 {knowledge_base_name}")
+
+    kb_file = KnowledgeFile(filename=file_name,
+                            knowledge_base_name=knowledge_base_name)
+
+    if os.path.exists(kb_file.filepath):
+        return FileResponse(
+            path=kb_file.filepath,
+            filename=kb_file.filename,
+            media_type="multipart/form-data")
+    else:
+        return BaseResponse(code=500, msg=f"{kb_file.filename} 读取文件失败")
+
+
 
 
 async def recreate_vector_store(

webui.py

@@ -35,7 +35,6 @@ if __name__ == "__main__":
     with st.sidebar:
         st.image(
             os.path.join(
-                os.path.dirname(__file__),
                 "img",
                 "logo-long-chatchat-trans-v2.png"
             ),

webui_pages/dialogue/dialogue.py

@@ -8,7 +8,6 @@ import os
 
 chat_box = ChatBox(
     assistant_avatar=os.path.join(
-        os.path.dirname(os.path.dirname(os.path.dirname(__file__))),
         "img",
         "chatchat_icon_blue_square_v2.png"
     )

webui_pages/utils.py

@@ -259,6 +259,7 @@ class ApiRequest:
         self,
         query: str,
         history: List[Dict] = [],
+        stream: bool = True,
         no_remote_api: bool = None,
     ):
         '''
@@ -267,12 +268,18 @@ class ApiRequest:
         if no_remote_api is None:
             no_remote_api = self.no_remote_api
 
+        data = {
+            "query": query,
+            "history": history,
+            "stream": stream,
+        }
+
         if no_remote_api:
             from server.chat.chat import chat
-            response = chat(query, history)
+            response = chat(**data)
             return self._fastapi_stream2generator(response)
         else:
-            response = self.post("/chat/chat", json={"query": query, "history": history}, stream=True)
+            response = self.post("/chat/chat", json=data, stream=True)
             return self._httpx_stream2generator(response)
 
     def knowledge_base_chat(
@@ -296,6 +303,7 @@ class ApiRequest:
             "top_k": top_k,
             "history": history,
             "stream": stream,
+            "local_doc_url": no_remote_api,
         }
 
         if no_remote_api: