fix(dify-builder): stream native test runs after canvas refresh

Run workflow streaming inside the Builder worker to avoid queue deadlocks. Forward native events to shared editor callbacks and wait for graph refresh before retesting repairs.

Keep command cleanup stable, preserve batched canvas events, and allow failed or unfinished historical runs to refresh again.

api/fields/workflow_stream_fields.py

@@ -0,0 +1,108 @@
+"""Full debugger workflow stream payloads, using the runtime's data schemas.
+
+Workflow adds workflow_run_id to every payload; Chatflow leaves it out of
+message, text, reasoning, agent-log, audio, and error events. Errors are flat
+and omit task_id. Preserve both native wire shapes inside Builder's envelope.
+"""
+
+from typing import Annotated, Literal
+
+from pydantic import ConfigDict, Field
+
+from core.app.entities import task_entities as events
+from fields.base import ResponseModel
+
+
+class WorkflowStreamEvent[Event: str, Data](ResponseModel):
+    model_config = ConfigDict(extra="allow")
+
+    event: Event
+    task_id: str
+    workflow_run_id: str
+    data: Data
+
+
+class WorkflowStreamDataEvent[Event: str, Data](ResponseModel):
+    model_config = ConfigDict(extra="allow")
+
+    event: Event
+    task_id: str
+    workflow_run_id: str | None = None
+    data: Data
+
+
+class WorkflowStreamError(ResponseModel):
+    model_config = ConfigDict(extra="allow")
+
+    event: Literal["error"]
+    workflow_run_id: str | None = None
+    code: str
+    status: int
+    message: str
+
+
+class WorkflowStreamMessageEvent[Event: str](ResponseModel):
+    model_config = ConfigDict(extra="allow")
+
+    event: Event
+    task_id: str
+    workflow_run_id: str | None = None
+
+
+class WorkflowStreamMessage(WorkflowStreamMessageEvent[Literal["message"]]):
+    id: str
+    answer: str
+    from_variable_selector: list[str] = Field(default_factory=list)
+
+
+class WorkflowStreamMessageEnd(WorkflowStreamMessageEvent[Literal["message_end"]]):
+    id: str
+    metadata: dict[str, object] = Field(default_factory=dict)
+    files: list[dict[str, object]] = Field(default_factory=list)
+
+
+class WorkflowStreamMessageFile(WorkflowStreamMessageEvent[Literal["message_file"]]):
+    id: str
+    type: str
+    belongs_to: str
+    url: str
+
+
+class WorkflowStreamMessageReplace(WorkflowStreamMessageEvent[Literal["message_replace"]]):
+    answer: str
+    reason: str
+
+
+class WorkflowStreamAudio(WorkflowStreamMessageEvent[Literal["tts_message", "tts_message_end"]]):
+    audio: str
+    audio_type: str | None = None
+
+
+WorkflowStreamPayload = Annotated[
+    WorkflowStreamEvent[Literal["workflow_started"], events.WorkflowStartStreamResponse.Data]
+    | WorkflowStreamEvent[Literal["workflow_finished"], events.WorkflowFinishStreamResponse.Data]
+    | WorkflowStreamEvent[Literal["workflow_paused"], events.WorkflowPauseStreamResponse.Data]
+    | WorkflowStreamEvent[Literal["node_started"], events.NodeStartStreamResponse.Data]
+    | WorkflowStreamEvent[Literal["node_finished"], events.NodeFinishStreamResponse.Data]
+    | WorkflowStreamEvent[Literal["node_retry"], events.NodeRetryStreamResponse.Data]
+    | WorkflowStreamEvent[Literal["iteration_started"], events.IterationNodeStartStreamResponse.Data]
+    | WorkflowStreamEvent[Literal["iteration_next"], events.IterationNodeNextStreamResponse.Data]
+    | WorkflowStreamEvent[Literal["iteration_completed"], events.IterationNodeCompletedStreamResponse.Data]
+    | WorkflowStreamEvent[Literal["loop_started"], events.LoopNodeStartStreamResponse.Data]
+    | WorkflowStreamEvent[Literal["loop_next"], events.LoopNodeNextStreamResponse.Data]
+    | WorkflowStreamEvent[Literal["loop_completed"], events.LoopNodeCompletedStreamResponse.Data]
+    | WorkflowStreamDataEvent[Literal["text_chunk"], events.TextChunkStreamResponse.Data]
+    | WorkflowStreamDataEvent[Literal["text_replace"], events.TextReplaceStreamResponse.Data]
+    | WorkflowStreamDataEvent[Literal["reasoning_chunk"], events.ReasoningChunkStreamResponse.Data]
+    | WorkflowStreamDataEvent[Literal["agent_log"], events.AgentLogStreamResponse.Data]
+    | WorkflowStreamEvent[Literal["human_input_required"], events.HumanInputRequiredResponse.Data]
+    | WorkflowStreamEvent[Literal["human_input_form_filled"], events.HumanInputFormFilledResponse.Data]
+    | WorkflowStreamEvent[Literal["human_input_form_timeout"], events.HumanInputFormTimeoutResponse.Data]
+    | WorkflowStreamAudio
+    | WorkflowStreamMessage
+    | WorkflowStreamMessageEnd
+    | WorkflowStreamMessageFile
+    | WorkflowStreamMessageReplace
+    | WorkflowStreamError,
+    Field(discriminator="event"),
+]