101 lines
3.4 KiB
Python
101 lines
3.4 KiB
Python
"""沿用意图判断，提取具体需求"""
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import json
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from langchain_core.messages import HumanMessage, SystemMessage
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from app.clients.llm import get_llm
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from app.processor.base import BaseNode
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from app.processor.state import QueryState
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from app.prompt.requirement import REQUIREMENT_SYSTEM_PROMPT
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from app.schemas.requirement import Requirement
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class RequirementNode(BaseNode):
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name = "requirement_node"
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async def process(self, state: QueryState) -> QueryState:
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context = state["input_context"]
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intent = state["intent"]
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payload = {
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"intent": intent,
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"input_context": context.model_dump(mode="json", exclude_unset=True),
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}
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llm = get_llm(Requirement)
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result = await llm.ainvoke(
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[
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SystemMessage(content=REQUIREMENT_SYSTEM_PROMPT),
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HumanMessage(content=json.dumps(payload, ensure_ascii=False)),
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]
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)
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print(f"LLM 返回的需求: {result}")
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print("=" * 66)
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# 沿用门控后的意图，合并后重新校验字段一致性
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requirement = Requirement.model_validate(
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{**result.model_dump(), "intent": intent}
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)
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node_ids = {node.id for node in context.screen.nodes}
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for change in requirement.changes:
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if unknown_ids := set(change.target_ids) - node_ids:
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raise ValueError(f"需求引用了不存在的节点: {sorted(unknown_ids)}")
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return {**state, "requirement": requirement}
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if __name__ == "__main__":
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import asyncio
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from pydantic import BaseModel
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from app.clients.decision import close_decision_engine
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from app.processor.nodes.input_node import InputNode
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from app.processor.nodes.intent_node import IntentNode
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async def main():
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# 1. 修改这里的请求，测试具体需求提取
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state: QueryState = {
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"request": {
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"prompt": "把销售额统计向右移动 50px，其他不变",
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"screen": {
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"canvas": {"width": 1920, "height": 1080},
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"nodes": [
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{
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"id": "sales-chart",
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"type": "bar-chart",
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"name": "销售额统计",
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"layout": {"x": 26, "y": 34.8, "width": 400, "height": 260},
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"props": {"option": {"title": {"text": "销售额统计"}}},
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}
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],
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"dataSource": [],
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},
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"context": {"selected_node_ids": ["sales-chart"]},
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}
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}
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# 2. 依次执行输入、意图判断和需求理解
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try:
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state = InputNode().process(state)
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state = await IntentNode().process(state)
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node = RequirementNode()
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final_state = await node.process(state)
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finally:
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await close_decision_engine()
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# 3. 打印完整 state
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print(
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json.dumps(
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{
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key: value.model_dump(mode="json", exclude_unset=True)
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if isinstance(value, BaseModel)
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else value
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for key, value in final_state.items()
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},
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ensure_ascii=False,
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indent=2,
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)
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)
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asyncio.run(main())
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