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