54 lines
1.3 KiB
Python
54 lines
1.3 KiB
Python
from typing import TypedDict, Annotated
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import operator
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import time
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from langgraph.graph import StateGraph, END
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class GraphState(TypedDict):
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messages: Annotated[list, operator.add]
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step_count: int
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result: str
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def step_1(state: GraphState) -> GraphState:
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time.sleep(0.2)
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return {"messages": ["S1"], "step_count": state.get("step_count", 0) + 1, "result": "r1"}
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def step_2(state: GraphState) -> GraphState:
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time.sleep(0.2)
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return {"messages": ["S2"], "step_count": state.get("step_count", 0) + 1, "result": "r2"}
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def step_3(state: GraphState) -> GraphState:
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time.sleep(0.2)
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return {"messages": ["S3"], "step_count": state.get("step_count", 0) + 1, "result": "done"}
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def create_workflow():
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wf = StateGraph(GraphState)
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wf.add_node("step_1", step_1)
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wf.add_node("step_2", step_2)
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wf.add_node("step_3", step_3)
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wf.set_entry_point("step_1")
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wf.add_edge("step_1", "step_2")
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wf.add_edge("step_2", "step_3")
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wf.add_edge("step_3", END)
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return wf.compile()
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def main():
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print("=" * 60)
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print("🛠️ LangGraph stream_mode='debug' 示例（开发定位用）")
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print("=" * 60)
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app = create_workflow()
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initial = {"messages": [], "step_count": 0, "result": ""}
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for info in app.stream(initial, stream_mode="debug"):
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print(info)
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if __name__ == "__main__":
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main()
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