"""将简单修改需求转换为动作列表""" import json from langchain_core.messages import HumanMessage, SystemMessage from app.clients.llm import get_llm from app.processor.base import BaseNode from app.processor.state import QueryState from app.prompt.action import ACTION_SYSTEM_PROMPT from app.schemas.actions import ActionBatch def can_generate_actions(state: QueryState) -> bool: requirement = state["requirement"] scope = state["change_scope"] # 当前只接入三种已有组件操作,后续能力逐步扩展 return ( requirement.intent == "modify_screen" and not requirement.needs_clarification and not scope.needs_planning and not scope.resource_needs and bool(requirement.changes) and all( change.target_scope == "nodes" and change.operation in ( "move", "resize", "update", ) for change in requirement.changes ) ) class ActionNode(BaseNode): name = "action_node" async def process(self, state: QueryState) -> QueryState: if not can_generate_actions(state): raise ValueError( "ActionNode 当前只支持无需规划和资源的 move、resize、update 需求" ) batch = await get_llm(ActionBatch).ainvoke( [ SystemMessage(content=ACTION_SYSTEM_PROMPT), HumanMessage( content=json.dumps( { "input_context": state["input_context"].model_dump( mode="json" ), "requirement": state["requirement"].model_dump(mode="json"), "change_scope": state["change_scope"].model_dump( mode="json" ), }, ensure_ascii=False, ) ), ] ) batch = ActionBatch.model_validate(batch.model_dump()) allowed = {} for change in state["requirement"].changes: for target_id in change.target_ids: allowed.setdefault(target_id, set()).add(change.operation) existing = {node.id for node in state["input_context"].screen.nodes} for action in batch.actions: if action.target_id not in existing: raise ValueError(f"动作引用了不存在的组件: {action.target_id}") if action.type not in allowed.get(action.target_id, set()): raise ValueError( f"动作超出需求范围: {action.target_id} / {action.type}" ) expected = { (target, operation) for target, ops in allowed.items() for operation in ops } actual = {(action.target_id, action.type) for action in batch.actions} if expected - actual: raise ValueError( f"动作遗漏了需求中的目标或操作: {sorted(expected - actual)}" ) return { **state, "actions": batch.actions, "validation_passed": None, "validation_errors": [], "simulated_screen": None, } if __name__ == "__main__": import asyncio from pydantic import BaseModel from app.processor.nodes.input_node import InputNode from app.schemas.change_scope import ChangeScope from app.schemas.requirement import Requirement async def main(): state = InputNode().process( { "request": { "prompt": "将销售额统计向右移动 50px", "screen": { "canvas": {"width": 1920, "height": 1080}, "nodes": [ { "id": "sales-chart", "type": "chart", "layout": { "x": 100, "y": 200, "width": 400, "height": 300, }, } ], }, } } ) state["requirement"] = Requirement( intent="modify_screen", goal="向右移动 50px", needs_clarification=False, changes=[ { "target_scope": "nodes", "target_ids": ["sales-chart"], "operation": "move", "parameters": {"delta_x": 50}, } ], ) state["change_scope"] = ChangeScope( scope="local", target_ids=["sales-chart"], needs_planning=False, reason="明确的组件位移", ) node = ActionNode() final_state = await node.process(state) print( json.dumps( final_state, ensure_ascii=False, indent=2, default=lambda value: ( value.model_dump(mode="json") if isinstance(value, BaseModel) else str(value) ), ) ) asyncio.run(main())