refactor: Update logs to outputs in ComponentVertex and ResultDataResponse classes

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

@@ -25,7 +25,7 @@ from langflow.api.v1.schemas import (
     VerticesOrderResponse,
 )
 from langflow.exceptions.component import ComponentBuildException
-from langflow.schema.schema import Log
+from langflow.schema.schema import OutputLog
 from langflow.services.auth.utils import get_current_active_user
 from langflow.services.chat.service import ChatService
 from langflow.services.deps import get_chat_service, get_session, get_session_service
@@ -199,8 +199,8 @@ async def build_vertex(
             message = {"errorMessage": params, "stackTrace": tb}
             valid = False
             output_label = vertex.outputs[0]["name"] if vertex.outputs else "output"
-            logs = {output_label: Log(message=message, type="error")}
+            outputs = {output_label: OutputLog(message=message, type="error")}
-            result_data_response = ResultDataResponse(results={}, logs=logs)
+            result_data_response = ResultDataResponse(results={}, outputs=outputs)
             artifacts = {}
             background_tasks.add_task(graph.end_all_traces, error=message["errorMessage"])
             # If there's an error building the vertex

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

@@ -9,7 +9,7 @@ from pydantic import BaseModel, ConfigDict, Field, field_validator, model_serial
 from langflow.graph.schema import RunOutputs
 from langflow.schema import dotdict
 from langflow.schema.graph import Tweaks
-from langflow.schema.schema import InputType, Log, OutputType
+from langflow.schema.schema import InputType, OutputLog, OutputType
 from langflow.services.database.models.api_key.model import ApiKeyRead
 from langflow.services.database.models.base import orjson_dumps
 from langflow.services.database.models.flow import FlowCreate, FlowRead
@@ -245,7 +245,7 @@ class VerticesOrderResponse(BaseModel):
 
 class ResultDataResponse(BaseModel):
     results: Optional[Any] = Field(default_factory=dict)
-    logs: dict[str, Log] = Field(default_factory=dict)
+    outputs: dict[str, OutputLog] = Field(default_factory=dict)
     message: Optional[Any] = Field(default_factory=dict)
     artifacts: Optional[Any] = Field(default_factory=dict)
     timedelta: Optional[float] = None

src/backend/base/langflow/custom/custom_component/custom_component.py

@@ -13,7 +13,7 @@ from langflow.schema import Data
 from langflow.schema.artifact import get_artifact_type
 from langflow.schema.dotdict import dotdict
 from langflow.schema.message import Message
-from langflow.schema.schema import Log
+from langflow.schema.schema import OutputLog
 from langflow.services.deps import get_storage_service, get_variable_service, session_scope
 from langflow.services.storage.service import StorageService
 from langflow.type_extraction.type_extraction import (
@@ -82,7 +82,7 @@ class CustomComponent(BaseComponent):
     status: Optional[Any] = None
     """The status of the component. This is displayed on the frontend. Defaults to None."""
     _flows_data: Optional[List[Data]] = None
-    _logs: List[Log] = []
+    _logs: List[OutputLog] = []
     tracing_service: Optional["TracingService"] = None
 
     def update_state(self, name: str, value: Any):
@@ -488,5 +488,5 @@ class CustomComponent(BaseComponent):
         Args:
             message (LoggableType | list[LoggableType]): The message to log.
         """
-        log = Log(message=message, type=get_artifact_type(message))
+        log = OutputLog(message=message, type=get_artifact_type(message))
         self._logs.append(log)

src/backend/base/langflow/graph/schema.py

@@ -4,14 +4,14 @@ from typing import Any, List, Optional
 from pydantic import BaseModel, Field, field_serializer, model_validator
 
 from langflow.graph.utils import serialize_field
-from langflow.schema.schema import Log, StreamURL
+from langflow.schema.schema import OutputLog, StreamURL
 from langflow.utils.schemas import ChatOutputResponse, ContainsEnumMeta
 
 
 class ResultData(BaseModel):
     results: Optional[Any] = Field(default_factory=dict)
     artifacts: Optional[Any] = Field(default_factory=dict)
-    logs: Optional[dict] = Field(default_factory=dict)
+    outputs: Optional[dict] = Field(default_factory=dict)
     messages: Optional[list[ChatOutputResponse]] = Field(default_factory=list)
     timedelta: Optional[float] = None
     duration: Optional[str] = None
@@ -28,7 +28,7 @@ class ResultData(BaseModel):
     @model_validator(mode="before")
     @classmethod
     def validate_model(cls, values):
-        if not values.get("logs") and values.get("artifacts"):
+        if not values.get("outputs") and values.get("artifacts"):
             # Build the log from the artifacts
 
             for key in values["artifacts"]:
@@ -40,9 +40,9 @@ class ResultData(BaseModel):
 
                 if "stream_url" in message and "type" in message:
                     stream_url = StreamURL(location=message["stream_url"])
-                    values["logs"].update({key: Log(message=stream_url, type=message["type"])})
+                    values["outputs"].update({key: OutputLog(message=stream_url, type=message["type"])})
                 elif "type" in message:
-                    values["logs"].update({Log(message=message, type=message["type"])})
+                    values["outputs"].update({OutputLog(message=message, type=message["type"])})
         return values
 
 

src/backend/base/langflow/graph/vertex/base.py

@@ -15,7 +15,7 @@ from langflow.graph.utils import UnbuiltObject, UnbuiltResult
 from langflow.interface.initialize import loading
 from langflow.interface.listing import lazy_load_dict
 from langflow.schema.artifact import ArtifactType
-from langflow.schema.schema import INPUT_FIELD_NAME, Log, build_logs
+from langflow.schema.schema import INPUT_FIELD_NAME, OutputLog, build_output_logs
 from langflow.services.deps import get_storage_service
 from langflow.services.monitor.utils import log_transaction
 from langflow.utils.constants import DIRECT_TYPES
@@ -80,7 +80,7 @@ class Vertex:
         self.layer = None
         self.result: Optional[ResultData] = None
         self.results: Dict[str, Any] = {}
-        self.logs: Dict[str, Log] = {}
+        self.outputs_logs: Dict[str, OutputLog] = {}
         try:
             self.is_interface_component = self.vertex_type in InterfaceComponentTypes
         except ValueError:
@@ -457,7 +457,7 @@ class Vertex:
         result_dict = ResultData(
             results=result_dict,
             artifacts=artifacts,
-            logs=self.logs,
+            outputs=self.outputs_logs,
             messages=messages,
             component_display_name=self.display_name,
             component_id=self.id,
@@ -620,7 +620,7 @@ class Vertex:
                 fallback_to_env_vars=fallback_to_env_vars,
                 vertex=self,
             )
-            self.logs = build_logs(self, result)
+            self.outputs_logs = build_output_logs(self, result)
             self._update_built_object_and_artifacts(result)
         except Exception as exc:
             tb = traceback.format_exc()

src/backend/base/langflow/graph/vertex/types.py

@@ -148,7 +148,7 @@ class ComponentVertex(Vertex):
         result_dict = ResultData(
             results=result_dict,
             artifacts=self.artifacts,
-            logs=self.logs,
+            outputs=self.outputs_logs,
             messages=messages,
             component_display_name=self.display_name,
             component_id=self.id,

src/backend/base/langflow/schema/schema.py

@@ -32,7 +32,7 @@ class ErrorLog(TypedDict):
     stackTrace: str
 
 
-class Log(BaseModel):
+class OutputLog(BaseModel):
     message: Union[ErrorLog, StreamURL, dict, list, str]
     type: str
 
@@ -79,8 +79,8 @@ def get_message(payload):
     return message or payload
 
 
-def build_logs(vertex, result) -> dict:
+def build_output_logs(vertex, result) -> dict:
-    logs: dict[str, Log] = dict()
+    outputs: dict[str, OutputLog] = dict()
     component_instance = result[0]
     for index, output in enumerate(vertex.outputs):
         if component_instance.status is None:
@@ -105,6 +105,6 @@ def build_logs(vertex, result) -> dict:
             case LogType.UNKNOWN:
                 message = ""
         name = output.get("name", f"output_{index}")
-        logs |= {name: Log(message=message, type=_type).model_dump()}
+        outputs |= {name: OutputLog(message=message, type=_type).model_dump()}
 
-    return logs
+    return outputs