revert: revert human input relevant code (#31766)

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>

api/core/app/entities/app_invoke_entities.py

@@ -132,7 +132,7 @@ class AppGenerateEntity(BaseModel):
     extras: dict[str, Any] = Field(default_factory=dict)
 
     # tracing instance
-    trace_manager: Optional["TraceQueueManager"] = Field(default=None, exclude=True, repr=False)
+    trace_manager: Optional["TraceQueueManager"] = None
 
 
 class EasyUIBasedAppGenerateEntity(AppGenerateEntity):
@@ -156,7 +156,6 @@ class ConversationAppGenerateEntity(AppGenerateEntity):
     """
 
     conversation_id: str | None = None
-    is_new_conversation: bool = False
     parent_message_id: str | None = Field(
         default=None,
         description=(

api/core/app/entities/queue_entities.py

@@ -8,8 +8,6 @@ from pydantic import BaseModel, ConfigDict, Field
 from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk
 from core.rag.entities.citation_metadata import RetrievalSourceMetadata
 from core.workflow.entities import AgentNodeStrategyInit
-from core.workflow.entities.pause_reason import PauseReason
-from core.workflow.entities.workflow_start_reason import WorkflowStartReason
 from core.workflow.enums import WorkflowNodeExecutionMetadataKey
 from core.workflow.nodes import NodeType
 
@@ -48,9 +46,6 @@ class QueueEvent(StrEnum):
     PING = "ping"
     STOP = "stop"
     RETRY = "retry"
-    PAUSE = "pause"
-    HUMAN_INPUT_FORM_FILLED = "human_input_form_filled"
-    HUMAN_INPUT_FORM_TIMEOUT = "human_input_form_timeout"
 
 
 class AppQueueEvent(BaseModel):
@@ -266,8 +261,6 @@ class QueueWorkflowStartedEvent(AppQueueEvent):
     """QueueWorkflowStartedEvent entity."""
 
     event: QueueEvent = QueueEvent.WORKFLOW_STARTED
-    # Always present; mirrors GraphRunStartedEvent.reason for downstream consumers.
-    reason: WorkflowStartReason = WorkflowStartReason.INITIAL
 
 
 class QueueWorkflowSucceededEvent(AppQueueEvent):
@@ -491,35 +484,6 @@ class QueueStopEvent(AppQueueEvent):
         return reason_mapping.get(self.stopped_by, "Stopped by unknown reason.")
 
 
-class QueueHumanInputFormFilledEvent(AppQueueEvent):
-    """
-    QueueHumanInputFormFilledEvent entity
-    """
-
-    event: QueueEvent = QueueEvent.HUMAN_INPUT_FORM_FILLED
-
-    node_execution_id: str
-    node_id: str
-    node_type: NodeType
-    node_title: str
-    rendered_content: str
-    action_id: str
-    action_text: str
-
-
-class QueueHumanInputFormTimeoutEvent(AppQueueEvent):
-    """
-    QueueHumanInputFormTimeoutEvent entity
-    """
-
-    event: QueueEvent = QueueEvent.HUMAN_INPUT_FORM_TIMEOUT
-
-    node_id: str
-    node_type: NodeType
-    node_title: str
-    expiration_time: datetime
-
-
 class QueueMessage(BaseModel):
     """
     QueueMessage abstract entity
@@ -545,14 +509,3 @@ class WorkflowQueueMessage(QueueMessage):
     """
 
     pass
-
-
-class QueueWorkflowPausedEvent(AppQueueEvent):
-    """
-    QueueWorkflowPausedEvent entity
-    """
-
-    event: QueueEvent = QueueEvent.PAUSE
-    reasons: Sequence[PauseReason] = Field(default_factory=list)
-    outputs: Mapping[str, object] = Field(default_factory=dict)
-    paused_nodes: Sequence[str] = Field(default_factory=list)

api/core/app/entities/task_entities.py

@@ -7,9 +7,7 @@ from pydantic import BaseModel, ConfigDict, Field
 from core.model_runtime.entities.llm_entities import LLMResult, LLMUsage
 from core.rag.entities.citation_metadata import RetrievalSourceMetadata
 from core.workflow.entities import AgentNodeStrategyInit
-from core.workflow.entities.workflow_start_reason import WorkflowStartReason
 from core.workflow.enums import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus
-from core.workflow.nodes.human_input.entities import FormInput, UserAction
 
 
 class AnnotationReplyAccount(BaseModel):
@@ -71,7 +69,6 @@ class StreamEvent(StrEnum):
     AGENT_THOUGHT = "agent_thought"
     AGENT_MESSAGE = "agent_message"
     WORKFLOW_STARTED = "workflow_started"
-    WORKFLOW_PAUSED = "workflow_paused"
     WORKFLOW_FINISHED = "workflow_finished"
     NODE_STARTED = "node_started"
     NODE_FINISHED = "node_finished"
@@ -85,9 +82,6 @@ class StreamEvent(StrEnum):
     TEXT_CHUNK = "text_chunk"
     TEXT_REPLACE = "text_replace"
     AGENT_LOG = "agent_log"
-    HUMAN_INPUT_REQUIRED = "human_input_required"
-    HUMAN_INPUT_FORM_FILLED = "human_input_form_filled"
-    HUMAN_INPUT_FORM_TIMEOUT = "human_input_form_timeout"
 
 
 class StreamResponse(BaseModel):
@@ -211,8 +205,6 @@ class WorkflowStartStreamResponse(StreamResponse):
         workflow_id: str
         inputs: Mapping[str, Any]
         created_at: int
-        # Always present; mirrors QueueWorkflowStartedEvent.reason for SSE clients.
-        reason: WorkflowStartReason = WorkflowStartReason.INITIAL
 
     event: StreamEvent = StreamEvent.WORKFLOW_STARTED
     workflow_run_id: str
@@ -239,7 +231,7 @@ class WorkflowFinishStreamResponse(StreamResponse):
         total_steps: int
         created_by: Mapping[str, object] = Field(default_factory=dict)
         created_at: int
-        finished_at: int | None
+        finished_at: int
         exceptions_count: int | None = 0
         files: Sequence[Mapping[str, Any]] | None = []
 
@@ -248,85 +240,6 @@ class WorkflowFinishStreamResponse(StreamResponse):
     data: Data
 
 
-class WorkflowPauseStreamResponse(StreamResponse):
-    """
-    WorkflowPauseStreamResponse entity
-    """
-
-    class Data(BaseModel):
-        """
-        Data entity
-        """
-
-        workflow_run_id: str
-        paused_nodes: Sequence[str] = Field(default_factory=list)
-        outputs: Mapping[str, Any] = Field(default_factory=dict)
-        reasons: Sequence[Mapping[str, Any]] = Field(default_factory=list)
-        status: str
-        created_at: int
-        elapsed_time: float
-        total_tokens: int
-        total_steps: int
-
-    event: StreamEvent = StreamEvent.WORKFLOW_PAUSED
-    workflow_run_id: str
-    data: Data
-
-
-class HumanInputRequiredResponse(StreamResponse):
-    class Data(BaseModel):
-        """
-        Data entity
-        """
-
-        form_id: str
-        node_id: str
-        node_title: str
-        form_content: str
-        inputs: Sequence[FormInput] = Field(default_factory=list)
-        actions: Sequence[UserAction] = Field(default_factory=list)
-        display_in_ui: bool = False
-        form_token: str | None = None
-        resolved_default_values: Mapping[str, Any] = Field(default_factory=dict)
-        expiration_time: int = Field(..., description="Unix timestamp in seconds")
-
-    event: StreamEvent = StreamEvent.HUMAN_INPUT_REQUIRED
-    workflow_run_id: str
-    data: Data
-
-
-class HumanInputFormFilledResponse(StreamResponse):
-    class Data(BaseModel):
-        """
-        Data entity
-        """
-
-        node_id: str
-        node_title: str
-        rendered_content: str
-        action_id: str
-        action_text: str
-
-    event: StreamEvent = StreamEvent.HUMAN_INPUT_FORM_FILLED
-    workflow_run_id: str
-    data: Data
-
-
-class HumanInputFormTimeoutResponse(StreamResponse):
-    class Data(BaseModel):
-        """
-        Data entity
-        """
-
-        node_id: str
-        node_title: str
-        expiration_time: int
-
-    event: StreamEvent = StreamEvent.HUMAN_INPUT_FORM_TIMEOUT
-    workflow_run_id: str
-    data: Data
-
-
 class NodeStartStreamResponse(StreamResponse):
     """
     NodeStartStreamResponse entity
@@ -813,7 +726,7 @@ class WorkflowAppBlockingResponse(AppBlockingResponse):
         total_tokens: int
         total_steps: int
         created_at: int
-        finished_at: int | None
+        finished_at: int
 
     workflow_run_id: str
     data: Data