deerflow2/src/prose/graph/builder.py

68 lines
2.0 KiB
Python

# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates
# SPDX-License-Identifier: MIT
import asyncio
import logging
from langgraph.graph import END, START, StateGraph
from src.prose.graph.prose_continue_node import prose_continue_node
from src.prose.graph.prose_fix_node import prose_fix_node
from src.prose.graph.prose_improve_node import prose_improve_node
from src.prose.graph.prose_longer_node import prose_longer_node
from src.prose.graph.prose_shorter_node import prose_shorter_node
from src.prose.graph.prose_zap_node import prose_zap_node
from src.prose.graph.state import ProseState
def optional_node(state: ProseState):
return state["option"]
def build_graph():
"""Build and return the ppt workflow graph."""
# build state graph
builder = StateGraph(ProseState)
builder.add_node("prose_continue", prose_continue_node)
builder.add_node("prose_improve", prose_improve_node)
builder.add_node("prose_shorter", prose_shorter_node)
builder.add_node("prose_longer", prose_longer_node)
builder.add_node("prose_fix", prose_fix_node)
builder.add_node("prose_zap", prose_zap_node)
builder.add_conditional_edges(
START,
optional_node,
{
"continue": "prose_continue",
"improve": "prose_improve",
"shorter": "prose_shorter",
"longer": "prose_longer",
"fix": "prose_fix",
"zap": "prose_zap",
},
END,
)
return builder.compile()
async def _test_workflow():
workflow = build_graph()
events = workflow.astream(
{
"content": "The weather in Beijing is sunny",
"option": "continue",
},
stream_mode="messages",
subgraphs=True,
)
async for node, event in events:
e = event[0]
print({"id": e.id, "object": "chat.completion.chunk", "content": e.content})
if __name__ == "__main__":
from dotenv import load_dotenv
load_dotenv()
logging.basicConfig(level=logging.INFO)
asyncio.run(_test_workflow())