Fix/conversation rename (#34)

* fix: fix the bug that prevents the second conversation from being renamed

* fix: add qdrant database reset prompt

Add a reset prompt for when the qdrant database encounters error.

Set the animation as a daemon thread.

* fix: stop the waiting animation for a conversation when it is deleted

CHANGELOG.md

@@ -7,6 +7,13 @@ and this project adheres to [Semantic Versioning](http://semver.org/).
 
 ## [Unreleased]
 
+## [0.5.2] - 2023-01-02
+
+### Fixed
+
+- Fixed the bug that prevents the second conversation from being renamed
+- Stop the waiting animation for a conversation when it is deleted
+
 ## [0.5.1] - 2023-01-02
 
 ### Fixed

src/gptui/_version.py

@@ -1,2 +1,2 @@
 __title__ = "gptui"
-__version__ = "0.5.1"
+__version__ = "0.5.2"

src/gptui/data/vector_memory/qdrant_memory.py

@@ -35,6 +35,7 @@ def __init__(
                     gptui_logger.error(
                         f"An error occurred while initializing the local vector database. Database path: {url}. Error: {repr(e)} "
                         "Warning: Rebuilding of the vector database may be required."
+                        "You can remove '~/.gptui/user/vector_memory_database/' to rebuild it if you are using default config."
                     )
             else:
                 self._qdrantclient = QdrantClient(location=":memory:")

src/gptui/models/gptui_basic_services/plugins/conversation_service.py

@@ -12,7 +12,7 @@
 
 class ConversationService:
     def __init__(self, manager):
-        self.gk_kernel = Kernel(manager.dot_env_config_path)
+        self.manager = manager
 
     @auto_init_params("0")
     @classmethod
@@ -43,7 +43,9 @@ def chat_context_to_string(chat_context_json_str: str) -> str:
         )
 
         chat_context = chat_context_to_string(chat_context_json_str)
-        make_title_function = self.gk_kernel.sk_kernel.create_semantic_function(sk_prompt, max_tokens=50)
+        # A new kernel must be created here, otherwise, there will be context confilicts.
+        gk_kernel = Kernel(self.manager.dot_env_config_path)
+        make_title_function = gk_kernel.sk_kernel.create_semantic_function(sk_prompt, max_tokens=50)
         name = await make_title_function.invoke_async(chat_context)
         name = str(name)
         if name.startswith('"'):

src/gptui/views/animation.py

@@ -98,6 +98,7 @@ def __init__(self, animation_manager: AnimationManager, message: AnimationReques
             self.animation_manager = animation_manager
             self.message = message
             animation_manager.priority_dict[message.displayer][self] = message.priority
+            self.daemon = True
 
         def run(self) -> None:
             animation = self.animation_manager.ani_links.get(self.message.ani_type)

src/gptui/views/tui.py

@@ -1278,6 +1278,7 @@ async def delete_conversation_check(self) -> None:
             self.no_context_manager.no_context_chat_delete(int(old_tab_id[3:]))
             return
 
+        conversation_id = int(old_tab_id[3:])
         def check_dialog_handle(confirm: bool) -> None:
             if confirm:
                 tab_mode = old_tab_id[:3]
@@ -1287,6 +1288,7 @@ def check_dialog_handle(confirm: bool) -> None:
                 elif tab_mode == "lxt":
                     self.openai.delete_group_talk_conversation(group_talk_conversation_id=int(old_tab_id[3:]))
                 self.chat_display.delete_buffer_id(id=int(old_tab_id[3:]))
+                self.post_message(AnimationRequest(ani_id=conversation_id, action="end"))
             else:
                 return
 
@@ -1515,6 +1517,21 @@ async def app_init_process(self, init_log: RichLog) -> bool:
                         }
                     )
                     collections.remove(collection)
+        except AttributeError as e:
+            init_log.write(
+                Text(
+                    f"An error occurred during cleaning collections. Error: {e}.\n"
+                    "Warning: Rebulding of the vector database may be required\n"
+                    "You can remove '~/.gptui/user/vector_memory_database/' to rebuild it if you are using default config.\n",
+                    tc("red") or "red"
+                )
+            )
+            gptui_logger.error(
+                f"An error occurred during cleaning collections. Error: {e}."
+                "Warning: Rebulding of the vector database may be required"
+                "You can remove '~/.gptui/user/vector_memory_database/' to rebuild it if you are using default config."
+            )
+            await asyncio.sleep(1)
         except Exception as e:
             init_log.write(Text(f"An error occurred during cleaning collections. Error: {e}", tc("red") or "red"))
             gptui_logger.error(f"An error occurred during cleaning collections. Error: {e}")