update api.py

api.py

@@ -141,9 +141,9 @@ async def upload_files(
     if filelist:
         vs_path, loaded_files = local_doc_qa.init_knowledge_vector_store(filelist, get_vs_path(knowledge_base_id))
         if len(loaded_files):
-            file_status = f"已上传 {'、'.join([os.path.split(i)[-1] for i in loaded_files])} 至知识库，并已加载知识库，请开始提问"
+            file_status = f"documents {', '.join([os.path.split(i)[-1] for i in loaded_files])} upload success"
             return BaseResponse(code=200, msg=file_status)
-    file_status = "文件未成功加载，请重新上传文件"
+    file_status = f"documents {', '.join([os.path.split(i)[-1] for i in loaded_files])} upload fail"
     return BaseResponse(code=500, msg=file_status)
 
 
@@ -176,7 +176,7 @@ async def list_docs(
     return ListDocsResponse(data=all_doc_names)
 
 
-async def delete_kbs(
+async def delete_kb(
         knowledge_base_id: str = Query(...,
                                        description="Knowledge Base Name",
                                        example="kb1"),
@@ -189,7 +189,7 @@ async def delete_kbs(
     return BaseResponse(code=200, msg=f"Knowledge Base {knowledge_base_id} delete success")
 
 
-async def delete_docs(
+async def delete_doc(
         knowledge_base_id: str = Query(...,
                                        description="Knowledge Base Name",
                                        example="kb1"),
@@ -197,28 +197,72 @@ async def delete_docs(
             None, description="doc name", example="doc_name_1.pdf"
         ),
 ):
-    # TODO: 确认是否支持批量删除文件
     knowledge_base_id = urllib.parse.unquote(knowledge_base_id)
     if not os.path.exists(get_folder_path(knowledge_base_id)):
         return {"code": 1, "msg": f"Knowledge base {knowledge_base_id} not found"}
     doc_path = get_file_path(knowledge_base_id, doc_name)
     if os.path.exists(doc_path):
         os.remove(doc_path)
-
-        # 删除上传的文件后重新生成知识库（FAISS）内的数据
-        # TODO: 删除向量库中对应文件
         remain_docs = await list_docs(knowledge_base_id)
         if len(remain_docs.data) == 0:
             shutil.rmtree(get_folder_path(knowledge_base_id), ignore_errors=True)
+            return BaseResponse(code=200, msg=f"document {doc_name} delete success")
         else:
-            local_doc_qa.init_knowledge_vector_store(
-                get_folder_path(knowledge_base_id), get_vs_path(knowledge_base_id)
-            )
+            status = local_doc_qa.delete_file_from_vector_store(doc_path, get_vs_path(knowledge_base_id))
+            if "success" in status:
                 return BaseResponse(code=200, msg=f"document {doc_name} delete success")
             else:
+                return BaseResponse(code=1, msg=f"document {doc_name} delete fail")
+    else:
         return BaseResponse(code=1, msg=f"document {doc_name} not found")
 
 
+async def update_doc(
+        knowledge_base_id: str = Query(...,
+                                       description="知识库名",
+                                       example="kb1"),
+        old_doc: str = Query(
+            None, description="待删除文件名，已存储在知识库中", example="doc_name_1.pdf"
+        ),
+        new_doc: UploadFile = File(description="待上传文件"),
+):
+    knowledge_base_id = urllib.parse.unquote(knowledge_base_id)
+    if not os.path.exists(get_folder_path(knowledge_base_id)):
+        return {"code": 1, "msg": f"Knowledge base {knowledge_base_id} not found"}
+    doc_path = get_file_path(knowledge_base_id, old_doc)
+    if not os.path.exists(doc_path):
+        return BaseResponse(code=1, msg=f"document {old_doc} not found")
+    else:
+        os.remove(doc_path)
+        delete_status = local_doc_qa.delete_file_from_vector_store(doc_path, get_vs_path(knowledge_base_id))
+        if "fail" in delete_status:
+            return BaseResponse(code=1, msg=f"document {old_doc} delete failed")
+        else:
+            saved_path = get_folder_path(knowledge_base_id)
+            if not os.path.exists(saved_path):
+                os.makedirs(saved_path)
+
+            file_content = await new_doc.read()  # 读取上传文件的内容
+
+            file_path = os.path.join(saved_path, new_doc.filename)
+            if os.path.exists(file_path) and os.path.getsize(file_path) == len(file_content):
+                file_status = f"document {new_doc.filename} already exists"
+                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)
+            vs_path, loaded_files = local_doc_qa.init_knowledge_vector_store([file_path], vs_path)
+            if len(loaded_files) > 0:
+                file_status = f"document {old_doc} delete and document {new_doc.filename} upload success"
+                return BaseResponse(code=200, msg=file_status)
+            else:
+                file_status = f"document {old_doc} success but document {new_doc.filename} upload fail"
+                return BaseResponse(code=500, msg=file_status)
+
+
+
 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？"),
@@ -394,8 +438,11 @@ def api_start(host, port):
     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.post("/local_doc_qa/bing_search_chat", response_model=ChatMessage)(bing_search_chat)
+    app.get("/local_doc_qa/list_knowledge_base", response_model=ListDocsResponse)(list_kbs)
     app.get("/local_doc_qa/list_files", response_model=ListDocsResponse)(list_docs)
-    app.delete("/local_doc_qa/delete_file", response_model=BaseResponse)(delete_docs)
+    app.delete("/local_doc_qa/delete_knowledge_base", response_model=BaseResponse)(delete_kb)
+    app.delete("/local_doc_qa/delete_file", response_model=BaseResponse)(delete_doc)
+    app.post("/local_doc_qa/update_file", response_model=BaseResponse)(update_doc)
 
     local_doc_qa = LocalDocQA()
     local_doc_qa.init_cfg(

chains/local_doc_qa.py

@@ -282,6 +282,21 @@ class LocalDocQA:
                         "source_documents": result_docs}
             yield response, history
 
+    def delete_file_from_vector_store(self,
+                                      filepath: str or List[str],
+                                      vs_path):
+        vector_store = load_vector_store(vs_path, self.embeddings)
+        status = vector_store.delete_doc(filepath)
+        return status
+
+    def update_file_from_vector_store(self,
+                                      filepath: str or List[str],
+                                      vs_path,
+                                      docs: List[Document],):
+        vector_store = load_vector_store(vs_path, self.embeddings)
+        status = vector_store.update_doc(filepath, docs)
+        return status
+
 
 if __name__ == "__main__":
     # 初始化消息

vectorstores/MyFAISS.py

@@ -108,14 +108,20 @@ class MyFAISS(FAISS, VectorStore):
         return docs
 
     def delete_doc(self, source):
+        try:
             ids = [k for k, v in self.docstore._dict.items() if v.metadata["source"] == source]
             for id in ids:
                 index = list(self.index_to_docstore_id.keys())[list(self.index_to_docstore_id.values()).index(id)]
                 self.index_to_docstore_id.pop(index)
                 self.docstore._dict.pop(id)
-        return f"{len(ids)} docs deleted"
+            return f"docs delete success"
+        except:
+            return f"docs delete fail"
 
     def update_doc(self, source, new_docs):
+        try:
             delete_len = self.delete_doc(source)
             ls = self.add_documents(new_docs)
-        return f"{delete_len} docs deleted, {len(ls)} added", ls
+            return f"docs update success"
+        except:
+            return f"docs update fail"