fixed export and import of discussions

lollms/app.py

@@ -656,7 +656,7 @@ class LollmsApplication(LoLLMsCom):
                 try:
                     docs, sorted_similarities, document_ids = self.personality.vectorizer.recover_text(query, top_k=self.config.data_vectorization_nb_chunks)
                     for doc, infos in zip(docs, sorted_similarities):
-                        documentation += f"document chunk:\nchunk path: {infos[0]}\nchunk content:{doc}"
+                        documentation += f"document chunk:\nchunk path: {infos[0]}\nchunk content:\n{doc}"
                     documentation += "\n!@>important information: Use the documentation data to answer the user questions. If the data is not present in the documentation, please tell the user that the information he is asking for does not exist in the documentation section. It is strictly forbidden to give the user an answer without having actual proof from the documentation."
                 except:
                     self.warning("Couldn't add documentation to the context. Please verify the vector database")

lollms/databases/discussions_database.py

@@ -388,9 +388,9 @@ class DiscussionsDB:
         discussions = []
         data = json_data
         for discussion_data in data:
-            discussion_id = discussion_data.get("id")
-            discussion_title = discussion_data.get("title")
-            messages_data = discussion_data.get("messages", [])
+            discussion_id = discussion_data.id
+            discussion_title = discussion_data.title
+            messages_data = discussion_data.messages
             discussion = {"id": discussion_id, "title": discussion_title, "messages": []}
 
             # Insert discussion into the database

lollms/server/endpoints/lollms_discussion.py

@@ -190,7 +190,8 @@ async def export_multiple_discussions(discussion_export: DiscussionExport):
 
 class DiscussionInfo(BaseModel):
     id: int
-    content: str
+    title: str
+    messages: List[dict]
 
 class DiscussionImport(BaseModel):
     client_id: str