280 lines
10 KiB
Python
280 lines
10 KiB
Python
"""输入解析、意图分流和需求理解流程"""
|
||
|
||
import inspect
|
||
|
||
from langgraph.checkpoint.memory import InMemorySaver
|
||
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
|
||
from langgraph.graph import END, StateGraph
|
||
|
||
from app.processor.nodes.clarify_node import ClarifyNode
|
||
from app.processor.nodes.input_node import InputNode
|
||
from app.processor.nodes.intent_node import IntentNode
|
||
from app.processor.nodes.requirement_node import RequirementNode
|
||
from app.processor.nodes.wait_for_user_node import WaitForUserNode
|
||
from app.processor.nodes.qa_node import QANode
|
||
from app.processor.nodes.scope_node import ScopeNode
|
||
from app.processor.nodes.action_node import ActionNode, can_generate_actions
|
||
from app.processor.nodes.validator_node import ValidatorNode
|
||
from app.processor.nodes.reflection_node import ReflectionNode
|
||
from app.processor.nodes.fallback_node import FallbackNode
|
||
from app.processor.nodes.planner_node import PlannerNode
|
||
from app.processor.nodes.component_resource_node import ComponentResourceNode
|
||
from app.processor.state import QueryState
|
||
|
||
|
||
def route_after_intent(state: QueryState) -> str:
|
||
return state["intent"]
|
||
|
||
|
||
def route_after_requirement(state: QueryState) -> bool:
|
||
return state["requirement"].needs_clarification
|
||
|
||
|
||
def route_after_wait(state: QueryState) -> str:
|
||
return "input_node" if state["status"] == "running" else END
|
||
|
||
|
||
def route_after_scope(state: QueryState) -> str:
|
||
if state["change_scope"].needs_planning:
|
||
return "component_resource_node"
|
||
return "action_node" if can_generate_actions(state) else END
|
||
|
||
|
||
def build_graph(checkpointer=None):
|
||
from app.config import settings
|
||
|
||
max_retries = settings.max_action_retries
|
||
|
||
def route_failure(state: QueryState) -> str:
|
||
# 上限检查放在 Reflection 前，避免最后一次无效模型调用
|
||
return (
|
||
"reflection_node"
|
||
if state.get("retry_count", 0) < max_retries
|
||
else "fallback_node"
|
||
)
|
||
|
||
def route_after_action(state: QueryState) -> str:
|
||
if state.get("status") == "failed":
|
||
return "fallback_node"
|
||
return (
|
||
route_failure(state)
|
||
if state["validation_passed"] is False
|
||
else "validator_node"
|
||
)
|
||
|
||
def route_after_validation(state: QueryState) -> str:
|
||
return END if state["validation_passed"] else route_failure(state)
|
||
|
||
def route_after_reflection(state: QueryState) -> str:
|
||
plan = state.get("repair_plan")
|
||
return "action_node" if plan is not None and plan.retryable else "fallback_node"
|
||
|
||
# 定义工作流
|
||
workflow = StateGraph(QueryState)
|
||
|
||
# 实例化节点
|
||
nodes = {
|
||
"input_node": InputNode(),
|
||
"intent_node": IntentNode(),
|
||
"requirement_node": RequirementNode(),
|
||
"clarify_node": ClarifyNode(),
|
||
"wait_for_user_node": WaitForUserNode(),
|
||
"qa_node": QANode(),
|
||
"scope_node": ScopeNode(),
|
||
"planner_node": PlannerNode(),
|
||
"component_resource_node": ComponentResourceNode(),
|
||
"action_node": ActionNode(),
|
||
"validator_node": ValidatorNode(),
|
||
"reflection_node": ReflectionNode(),
|
||
"fallback_node": FallbackNode(),
|
||
}
|
||
|
||
# 注册节点，异步节点使用 BaseNode 的异步入口
|
||
for node_name, node in nodes.items():
|
||
action = node._acall if inspect.iscoroutinefunction(node.process) else node
|
||
workflow.add_node(node_name, action)
|
||
|
||
# 定义入口
|
||
workflow.set_entry_point("input_node")
|
||
|
||
# 添加业务边
|
||
workflow.add_edge("input_node", "intent_node")
|
||
# 新建和修改进入需求理解，意图不明进入澄清
|
||
workflow.add_conditional_edges(
|
||
source="intent_node",
|
||
path=route_after_intent,
|
||
path_map={
|
||
"create_screen": "requirement_node",
|
||
"modify_screen": "requirement_node",
|
||
"qa": "qa_node",
|
||
"unclear": "clarify_node",
|
||
},
|
||
)
|
||
workflow.add_conditional_edges(
|
||
source="requirement_node",
|
||
path=route_after_requirement,
|
||
path_map={True: "clarify_node", False: "scope_node"},
|
||
)
|
||
workflow.add_edge("clarify_node", "wait_for_user_node")
|
||
workflow.add_edge("qa_node", END)
|
||
# 先读取组件能力再规划，规划后的业务数据查询后续接入
|
||
workflow.add_conditional_edges(
|
||
"scope_node",
|
||
route_after_scope,
|
||
{
|
||
"component_resource_node": "component_resource_node",
|
||
"action_node": "action_node",
|
||
END: END,
|
||
},
|
||
)
|
||
workflow.add_conditional_edges(
|
||
"component_resource_node",
|
||
lambda state: state["component_resources"].status == "resolved",
|
||
{True: "planner_node", False: END},
|
||
)
|
||
workflow.add_edge("planner_node", "action_node")
|
||
workflow.add_conditional_edges(
|
||
"action_node",
|
||
route_after_action,
|
||
{
|
||
"validator_node": "validator_node",
|
||
"reflection_node": "reflection_node",
|
||
"fallback_node": "fallback_node",
|
||
},
|
||
)
|
||
workflow.add_conditional_edges(
|
||
"validator_node",
|
||
route_after_validation,
|
||
{
|
||
END: END,
|
||
"reflection_node": "reflection_node",
|
||
"fallback_node": "fallback_node",
|
||
},
|
||
)
|
||
workflow.add_conditional_edges(
|
||
"reflection_node",
|
||
route_after_reflection,
|
||
{
|
||
"action_node": "action_node",
|
||
"fallback_node": "fallback_node",
|
||
},
|
||
)
|
||
workflow.add_edge("fallback_node", END)
|
||
workflow.add_conditional_edges(
|
||
"wait_for_user_node",
|
||
route_after_wait,
|
||
{"input_node": "input_node", END: END},
|
||
)
|
||
# TODO 本地默认保存在内存，可传入持久化 checkpointer
|
||
if checkpointer is None:
|
||
serde = JsonPlusSerializer(
|
||
allowed_msgpack_modules=[
|
||
("app.schemas.input_context", "InputContext"),
|
||
("app.schemas.decision", "DecisionResponse"),
|
||
("app.schemas.requirement", "Requirement"),
|
||
("app.schemas.change_scope", "ChangeScope"),
|
||
("app.schemas.screen_plan", "ScreenPlan"),
|
||
("app.schemas.component_resource", "ComponentResult"),
|
||
("app.schemas.actions.add", "AddAction"),
|
||
("app.schemas.actions.move", "MoveAction"),
|
||
("app.schemas.actions.resize", "ResizeAction"),
|
||
("app.schemas.actions.update", "UpdateAction"),
|
||
("app.schemas.action_validation", "ActionValidationError"),
|
||
("app.schemas.action_repair", "ActionRepairPlan"),
|
||
("app.schemas.screen", "Screen"),
|
||
("app.schemas.clarification", "Clarification"),
|
||
("app.schemas.clarification_reply", "ClarificationReply"),
|
||
]
|
||
)
|
||
checkpointer = InMemorySaver(serde=serde)
|
||
return workflow.compile(checkpointer=checkpointer).with_config(
|
||
{
|
||
"recursion_limit": max(25, 12 + 3 * max_retries),
|
||
}
|
||
)
|
||
|
||
|
||
# 创建全局图实例
|
||
query_app = build_graph()
|
||
|
||
|
||
if __name__ == "__main__":
|
||
import asyncio
|
||
import json
|
||
from uuid import uuid4
|
||
|
||
from langgraph.types import Command
|
||
from pydantic import BaseModel
|
||
|
||
from app.clients.decision import close_decision_engine
|
||
|
||
async def main():
|
||
# 1. 修改请求，测试完整流程
|
||
state: QueryState = {
|
||
"request": {
|
||
"prompt": "帮我修改销售额统计这个图，但具体改哪里我还没说，请先问我",
|
||
"screen": {
|
||
"canvas": {"width": 1920, "height": 1080},
|
||
"nodes": [
|
||
{
|
||
"id": "sales-chart",
|
||
"type": "bar-chart",
|
||
"name": "销售额统计",
|
||
"layout": {"x": 26, "y": 34.8, "width": 400, "height": 260},
|
||
"props": {"option": {"title": {"text": "销售额统计"}}},
|
||
}
|
||
],
|
||
"dataSource": [],
|
||
},
|
||
"context": {"selected_node_ids": ["sales-chart"]},
|
||
}
|
||
}
|
||
# 2. 执行图，程序退出时关闭共享连接
|
||
config = {"configurable": {"thread_id": str(uuid4())}}
|
||
try:
|
||
final_state = await query_app.ainvoke(state, config=config)
|
||
while final_state.get("__interrupt__"):
|
||
pending = final_state["__interrupt__"][0].value
|
||
print(pending["question"])
|
||
options = pending.get("options", [])
|
||
for index, option in enumerate(options, 1):
|
||
marker = "（推荐）" if option["recommended"] else ""
|
||
print(
|
||
f"{index}. {option['label']}{marker}：{option['description']}"
|
||
)
|
||
if "error" in pending:
|
||
print(pending["error"])
|
||
answer = input("输入编号或自由回答（/cancel 取消）：")
|
||
reply = {"cancel": True} if answer == "/cancel" else {"answer": answer}
|
||
if answer.isdigit() and 1 <= int(answer) <= len(options):
|
||
reply = {"option_id": options[int(answer) - 1]["id"]}
|
||
notes = input("补充说明（可留空）：").strip()
|
||
if notes:
|
||
reply["answer"] = notes
|
||
final_state = await query_app.ainvoke(
|
||
Command(resume=reply), config=config
|
||
)
|
||
finally:
|
||
await close_decision_engine()
|
||
|
||
# 3. 打印完整 state
|
||
print(
|
||
json.dumps(
|
||
{
|
||
key: value.model_dump(mode="json", exclude_unset=True)
|
||
if isinstance(value, BaseModel)
|
||
else value
|
||
for key, value in final_state.items()
|
||
},
|
||
ensure_ascii=False,
|
||
indent=2,
|
||
default=lambda value: (
|
||
value.model_dump(mode="json")
|
||
if isinstance(value, BaseModel)
|
||
else str(value)
|
||
),
|
||
)
|
||
)
|
||
|
||
asyncio.run(main())
|