refactor: move workflow package to dify_graph (#32844)

api/dify_graph/graph_events/graph.py

@@ -0,0 +1,57 @@
+from pydantic import Field
+
+from dify_graph.entities.pause_reason import PauseReason
+from dify_graph.entities.workflow_start_reason import WorkflowStartReason
+from dify_graph.graph_events import BaseGraphEvent
+
+
+class GraphRunStartedEvent(BaseGraphEvent):
+    # Reason is emitted for workflow start events and is always set.
+    reason: WorkflowStartReason = Field(
+        default=WorkflowStartReason.INITIAL,
+        description="reason for workflow start",
+    )
+
+
+class GraphRunSucceededEvent(BaseGraphEvent):
+    """Event emitted when a run completes successfully with final outputs."""
+
+    outputs: dict[str, object] = Field(
+        default_factory=dict,
+        description="Final workflow outputs keyed by output selector.",
+    )
+
+
+class GraphRunFailedEvent(BaseGraphEvent):
+    error: str = Field(..., description="failed reason")
+    exceptions_count: int = Field(description="exception count", default=0)
+
+
+class GraphRunPartialSucceededEvent(BaseGraphEvent):
+    """Event emitted when a run finishes with partial success and failures."""
+
+    exceptions_count: int = Field(..., description="exception count")
+    outputs: dict[str, object] = Field(
+        default_factory=dict,
+        description="Outputs that were materialised before failures occurred.",
+    )
+
+
+class GraphRunAbortedEvent(BaseGraphEvent):
+    """Event emitted when a graph run is aborted by user command."""
+
+    reason: str | None = Field(default=None, description="reason for abort")
+    outputs: dict[str, object] = Field(
+        default_factory=dict,
+        description="Outputs produced before the abort was requested.",
+    )
+
+
+class GraphRunPausedEvent(BaseGraphEvent):
+    """Event emitted when a graph run is paused by user command."""
+
+    reasons: list[PauseReason] = Field(description="reason for pause", default_factory=list)
+    outputs: dict[str, object] = Field(
+        default_factory=dict,
+        description="Outputs available to the client while the run is paused.",
+    )