refactor: move workflow package to dify_graph (#32844)

api/dify_graph/nodes/trigger_schedule/trigger_schedule_node.py

@@ -0,0 +1,44 @@
+from collections.abc import Mapping
+
+from dify_graph.constants import SYSTEM_VARIABLE_NODE_ID
+from dify_graph.entities.workflow_node_execution import WorkflowNodeExecutionStatus
+from dify_graph.enums import NodeExecutionType, NodeType
+from dify_graph.node_events import NodeRunResult
+from dify_graph.nodes.base.node import Node
+from dify_graph.nodes.trigger_schedule.entities import TriggerScheduleNodeData
+
+
+class TriggerScheduleNode(Node[TriggerScheduleNodeData]):
+    node_type = NodeType.TRIGGER_SCHEDULE
+    execution_type = NodeExecutionType.ROOT
+
+    @classmethod
+    def version(cls) -> str:
+        return "1"
+
+    @classmethod
+    def get_default_config(cls, filters: Mapping[str, object] | None = None) -> Mapping[str, object]:
+        return {
+            "type": "trigger-schedule",
+            "config": {
+                "mode": "visual",
+                "frequency": "daily",
+                "visual_config": {"time": "12:00 AM", "on_minute": 0, "weekdays": ["sun"], "monthly_days": [1]},
+                "timezone": "UTC",
+            },
+        }
+
+    def _run(self) -> NodeRunResult:
+        node_inputs = dict(self.graph_runtime_state.variable_pool.user_inputs)
+        system_inputs = self.graph_runtime_state.variable_pool.system_variables.to_dict()
+
+        # TODO: System variables should be directly accessible, no need for special handling
+        # Set system variables as node outputs.
+        for var in system_inputs:
+            node_inputs[SYSTEM_VARIABLE_NODE_ID + "." + var] = system_inputs[var]
+        outputs = dict(node_inputs)
+        return NodeRunResult(
+            status=WorkflowNodeExecutionStatus.SUCCEEDED,
+            inputs=node_inputs,
+            outputs=outputs,
+        )