Propagate traceback in exception logs

src/backend/base/langflow/alembic/env.py

@@ -72,8 +72,8 @@ def run_migrations_online() -> None:
         initialize_settings_service()
         service_manager.register_factory(DatabaseServiceFactory())
         connectable = get_db_service().engine
-    except Exception as e:
-        logger.error(f"Error getting database engine: {e}")
+    except Exception:
+        logger.exception("Error getting database engine")
         url = os.getenv("LANGFLOW_DATABASE_URL")
         url = url or config.get_main_option("sqlalchemy.url")
         if url:

src/backend/base/langflow/api/v1/callback.py

@@ -74,8 +74,8 @@ async def on_tool_end(self, output: str, **kwargs: Any) -> Any:
             # This is to emulate the stream of tokens
             for resp in resps:
                 await self.socketio_service.emit_token(to=self.sid, data=resp.model_dump())
-        except Exception as exc:
-            logger.error(f"Error sending response: {exc}")
+        except Exception:
+            logger.exception("Error sending response")
 
     async def on_tool_error(
         self,

src/backend/base/langflow/api/v1/chat.py

@@ -60,8 +60,8 @@ async def try_running_celery_task(vertex, user_id):
 
         task = build_vertex.delay(vertex)
         vertex.task_id = task.id
-    except Exception as exc:
-        logger.debug(f"Error running task in celery: {exc}")
+    except Exception:
+        logger.opt(exception=True).debug("Error running task in celery")
         vertex.task_id = None
         await vertex.build(user_id=user_id)
     return vertex
@@ -135,8 +135,7 @@ async def retrieve_vertices_order(
         )
         if "stream or streaming set to True" in str(exc):
             raise HTTPException(status_code=400, detail=str(exc)) from exc
-        logger.error(f"Error checking build status: {exc}")
-        logger.exception(exc)
+        logger.exception("Error checking build status")
         raise HTTPException(status_code=500, detail=str(exc)) from exc
 
 
@@ -169,7 +168,7 @@ async def build_graph_and_get_order() -> tuple[list[str], list[str], Graph]:
                 try:
                     first_layer = graph.sort_vertices(stop_component_id, start_component_id)
                 except Exception as exc:
-                    logger.error(exc)
+                    logger.exception(exc)
                     first_layer = graph.sort_vertices()
             else:
                 first_layer = graph.sort_vertices()
@@ -203,8 +202,7 @@ async def build_graph_and_get_order() -> tuple[list[str], list[str], Graph]:
             )
             if "stream or streaming set to True" in str(exc):
                 raise HTTPException(status_code=400, detail=str(exc)) from exc
-            logger.error(f"Error checking build status: {exc}")
-            logger.exception(exc)
+            logger.exception("Error checking build status")
             raise HTTPException(status_code=500, detail=str(exc)) from exc
 
     async def _build_vertex(vertex_id: str, graph: Graph, event_manager: EventManager) -> VertexBuildResponse:
@@ -241,7 +239,7 @@ async def _build_vertex(vertex_id: str, graph: Graph, event_manager: EventManage
                     tb = exc.formatted_traceback
                 else:
                     tb = traceback.format_exc()
-                    logger.exception(f"Error building Component: {exc}")
+                    logger.exception("Error building Component")
                     params = format_exception_message(exc)
                 message = {"errorMessage": params, "stackTrace": tb}
                 valid = False
@@ -315,8 +313,7 @@ async def _build_vertex(vertex_id: str, graph: Graph, event_manager: EventManage
                     componentErrorMessage=str(exc),
                 ),
             )
-            logger.error(f"Error building Component: \n\n{exc}")
-            logger.exception(exc)
+            logger.exception("Error building Component")
             message = parse_exception(exc)
             raise HTTPException(status_code=500, detail=message) from exc
 
@@ -524,7 +521,7 @@ async def build_vertex(
                 tb = exc.formatted_traceback
             else:
                 tb = traceback.format_exc()
-                logger.exception(f"Error building Component: {exc}")
+                logger.exception("Error building Component")
                 params = format_exception_message(exc)
             message = {"errorMessage": params, "stackTrace": tb}
             valid = False
@@ -602,8 +599,7 @@ async def build_vertex(
                 componentErrorMessage=str(exc),
             ),
         )
-        logger.error(f"Error building Component: \n\n{exc}")
-        logger.exception(exc)
+        logger.exception("Error building Component")
         message = parse_exception(exc)
         raise HTTPException(status_code=500, detail=message) from exc
 
@@ -695,7 +691,7 @@ async def stream_vertex():
                     raise ValueError(msg)
 
             except Exception as exc:
-                logger.exception(f"Error building Component: {exc}")
+                logger.exception("Error building Component")
                 exc_message = parse_exception(exc)
                 if exc_message == "The message must be an iterator or an async iterator.":
                     exc_message = "This stream has already been closed."

src/backend/base/langflow/api/v1/endpoints.py

@@ -168,8 +168,8 @@ async def simple_run_flow_task(
             api_key_user=api_key_user,
         )
 
-    except Exception as exc:
-        logger.exception(f"Error running flow {flow.id} task: {exc}")
+    except Exception:
+        logger.exception(f"Error running flow {flow.id} task")
 
 
 @router.post("/run/{flow_id_or_name}", response_model=RunResponse, response_model_exclude_none=True)
@@ -280,7 +280,7 @@ async def simplified_run_flow(
         logger.exception(exc)
         raise APIException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, exception=exc, flow=flow) from exc
     except InvalidChatInputException as exc:
-        logger.error(exc)
+        logger.exception(exc)
         raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(exc)) from exc
     except Exception as exc:
         logger.exception(exc)
@@ -293,7 +293,6 @@ async def simplified_run_flow(
                 runErrorMessage=str(exc),
             ),
         )
-        logger.exception(exc)
         raise APIException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, exception=exc, flow=flow) from exc
 
 
@@ -478,15 +477,15 @@ async def experimental_run_flow(
     except sa.exc.StatementError as exc:
         # StatementError('(builtins.ValueError) badly formed hexadecimal UUID string')
         if "badly formed hexadecimal UUID string" in str(exc):
-            logger.error(f"Flow ID {flow_id_str} is not a valid UUID")
+            logger.exception(f"Flow ID {flow_id_str} is not a valid UUID")
             # This means the Flow ID is not a valid UUID which means it can't find the flow
             raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
     except ValueError as exc:
         if f"Flow {flow_id_str} not found" in str(exc):
-            logger.error(f"Flow {flow_id_str} not found")
+            logger.exception(f"Flow {flow_id_str} not found")
             raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
         if f"Session {session_id} not found" in str(exc):
-            logger.error(f"Session {session_id} not found")
+            logger.exception(f"Session {session_id} not found")
             raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
         logger.exception(exc)
         raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(exc)) from exc
@@ -573,7 +572,7 @@ async def create_upload_file(
             file_path=file_path,
         )
     except Exception as exc:
-        logger.error(f"Error saving file: {exc}")
+        logger.exception("Error saving file")
         raise HTTPException(status_code=500, detail=str(exc)) from exc
 
 

src/backend/base/langflow/api/v1/flows.py

@@ -170,7 +170,7 @@ def read_flows(
                     if example_flow.id not in flow_ids:
                         flows.append(example_flow)  # type: ignore
             except Exception as e:
-                logger.error(e)
+                logger.exception(e)
 
         if remove_example_flows:
             flows = [flow for flow in flows if flow.folder_id != folder.id]

src/backend/base/langflow/api/v1/starter_projects.py

@@ -19,5 +19,5 @@ def get_starter_projects(
     try:
         return get_starter_projects_dump()
     except Exception as exc:
-        logger.error(exc)
+        logger.exception(exc)
         raise HTTPException(status_code=500, detail=str(exc)) from exc

src/backend/base/langflow/api/v1/store.py

@@ -42,8 +42,8 @@ def get_optional_user_store_api_key(
         return None
     try:
         return auth_utils.decrypt_api_key(user.store_api_key, settings_service)
-    except Exception as e:
-        logger.error(f"Failed to decrypt API key: {e}")
+    except Exception:
+        logger.exception("Failed to decrypt API key")
         return user.store_api_key
 
 

src/backend/base/langflow/base/prompts/api_utils.py

@@ -133,9 +133,9 @@ def validate_prompt(prompt_template: str, silent_errors: bool = False) -> list[s
     try:
         PromptTemplate(template=prompt_template, input_variables=input_variables)
     except Exception as exc:
-        logger.error(f"Invalid prompt: {exc}")
+        msg = f"Invalid prompt: {exc}"
+        logger.exception(msg)
         if not silent_errors:
-            msg = f"Invalid prompt: {exc}"
             raise ValueError(msg) from exc
 
     return input_variables

src/backend/base/langflow/base/tools/flow_tool.py

@@ -103,8 +103,8 @@ async def _arun(
         tweaks = self.build_tweaks_dict(args, kwargs)
         try:
             run_id = self.graph.run_id if self.graph else None
-        except Exception as e:
-            logger.warning(f"Failed to set run_id: {e}")
+        except Exception:
+            logger.opt(exception=True).warning("Failed to set run_id")
             run_id = None
         run_outputs = await run_flow(
             tweaks={key: {"input_value": value} for key, value in tweaks.items()},

src/backend/base/langflow/components/Notion/update_page_property.py

@@ -77,7 +77,7 @@ def _update_notion_page(self, page_id: str, properties: str | dict[str, Any]) ->
                 parsed_properties = json.loads(properties)
             except json.JSONDecodeError as e:
                 error_message = f"Invalid JSON format for properties: {e}"
-                logger.error(error_message)
+                logger.exception(error_message)
                 return error_message
 
         else:
@@ -98,15 +98,15 @@ def _update_notion_page(self, page_id: str, properties: str | dict[str, Any]) ->
             if e.response is not None:
                 error_message += f"\nStatus code: {e.response.status_code}"
                 error_message += f"\nResponse body: {e.response.text}"
-            logger.error(error_message)
+            logger.exception(error_message)
             return error_message
         except requests.exceptions.RequestException as e:
             error_message = f"An error occurred while making the request: {e}"
-            logger.error(error_message)
+            logger.exception(error_message)
             return error_message
         except Exception as e:
             error_message = f"An unexpected error occurred: {e}"
-            logger.error(error_message)
+            logger.exception(error_message)
             return error_message
 
     def __call__(self, *args, **kwargs):

src/backend/base/langflow/components/data/APIRequest.py

@@ -87,13 +87,13 @@ def parse_curl(self, curl: str, build_config: dotdict) -> dotdict:
                 try:
                     json_data = json.loads(parsed.data)
                     build_config["body"]["value"] = json_data
-                except json.JSONDecodeError as e:
-                    logger.error(f"Error decoding JSON data: {e}")
+                except json.JSONDecodeError:
+                    logger.exception("Error decoding JSON data")
             else:
                 build_config["body"]["value"] = {}
         except Exception as exc:
-            logger.error(f"Error parsing curl: {exc}")
             msg = f"Error parsing curl: {exc}"
+            logger.exception(msg)
             raise ValueError(msg) from exc
         return build_config
 
@@ -120,9 +120,9 @@ async def make_request(
             try:
                 body = json.loads(body)
             except Exception as e:
-                logger.error(f"Error decoding JSON data: {e}")
-                body = None
                 msg = f"Error decoding JSON data: {e}"
+                logger.exception(msg)
+                body = None
                 raise ValueError(msg) from e
 
         data = body if body else None

src/backend/base/langflow/components/deactivated/SubFlow.py

@@ -54,8 +54,8 @@ def update_build_config(self, build_config: dotdict, field_value: Any, field_nam
                 inputs = get_flow_inputs(graph)
                 # Add inputs to the build config
                 build_config = self.add_inputs_to_build_config(inputs, build_config)
-            except Exception as e:
-                logger.error(f"Error getting flow {field_value}: {e}")
+            except Exception:
+                logger.exception(f"Error getting flow {field_value}")
 
         return build_config
 

src/backend/base/langflow/components/embeddings/util/AIMLEmbeddingsImpl.py

@@ -36,8 +36,8 @@ def embed_documents(self, texts: list[str]) -> list[list[float]]:
                     httpx.RequestError,
                     json.JSONDecodeError,
                     KeyError,
-                ) as e:
-                    logger.error(f"Error occurred: {e}")
+                ):
+                    logger.exception("Error occurred")
                     raise
 
         return embeddings  # type: ignore

src/backend/base/langflow/components/prototypes/FlowTool.py

@@ -85,8 +85,8 @@ def build_tool(self) -> Tool:
         graph = Graph.from_payload(flow_data.data["data"])
         try:
             graph.set_run_id(self.graph.run_id)
-        except Exception as e:
-            logger.warning(f"Failed to set run_id: {e}")
+        except Exception:
+            logger.opt(exception=True).warning("Failed to set run_id")
         inputs = get_flow_inputs(graph)
         tool = FlowTool(
             name=self.name,

src/backend/base/langflow/components/prototypes/SubFlow.py

@@ -46,8 +46,8 @@ def update_build_config(self, build_config: dotdict, field_value: Any, field_nam
                 inputs = get_flow_inputs(graph)
                 # Add inputs to the build config
                 build_config = self.add_inputs_to_build_config(inputs, build_config)
-            except Exception as e:
-                logger.error(f"Error getting flow {field_value}: {e}")
+            except Exception:
+                logger.exception(f"Error getting flow {field_value}")
 
         return build_config
 

src/backend/base/langflow/components/toolkits/ComposioAPI.py

@@ -85,8 +85,8 @@ def _handle_authorization_failure(self, toolset: ComposioToolSet, entity: Any, a
             if auth_schemes[0].auth_mode == "API_KEY":
                 return self._process_api_key_auth(entity, app)
             return self._initiate_default_connection(entity, app)
-        except Exception as exc:
-            logger.error(f"Authorization error: {exc}")
+        except Exception:
+            logger.exception("Authorization error")
             return "Error"
 
     def _process_api_key_auth(self, entity: Any, app: str) -> str:

src/backend/base/langflow/components/vectorstores/Elasticsearch.py

@@ -198,11 +198,11 @@ def search(self, query: str | None = None) -> list[dict[str, Any]]:
                     msg = f"Invalid search type: {self.search_type}"
                     raise ValueError(msg)
             except Exception as e:
-                logger.error(f"Search query failed: {e}")
                 msg = (
                     "Error occurred while querying the Elasticsearch VectorStore,"
                     " there is no Data into the VectorStore."
                 )
+                logger.exception(msg)
                 raise ValueError(msg) from e
             return [
                 {"page_content": doc.page_content, "metadata": doc.metadata, "score": score} for doc, score in results