Files
agent_jrxml/agent/graph.py
T
panda 067880bf2e feat: 添加结构化日志系统,更新LLM配置与全部文档
新增:
- backend/logger.py — 集中日志模块 (JSON格式 + trace_id + 独立llm.log)
- @log_node / @_log_route 装饰器覆盖17个节点和8个路由

改进:
- backend/llm.py — _LLMLoggingWrapper 自动记录LLM输入输出
- backend/llm.py — API Key优先读ANTHROPIC_API_KEY,模型名改为MiniMax-M2.7
- backend/llm.py — get_llm() 新增caller参数标识调用来源
- backend/validation.py — 新增验证结果/连接失败日志
- backend/session.py — 新增会话创建/删除日志
- app.py — 新增用户交互日志 (输入/执行/异常/会话操作)
- app.py — 提前导入torchvision抑制transformers懒加载报错
- .env.example — 新增LOG_DIR/LOG_LEVEL/ANTHROPIC_API_KEY等配置项
- .gitignore — 新增logs/和db/忽略规则

文档:
- ROADMAP.md — 新增阶段四: 可观测性
- README.md — 补充日志架构/LLM配置/项目结构
- CLAUDE.md — 同步最新配置/日志/MAX_RETRY(3)
- CODE_GUIDE.md — 新增第15章日志系统,更新架构图/LLM/配置
2026-05-19 23:40:01 +08:00

268 lines
7.8 KiB
Python

"""LangGraph JRXML 生成代理的状态图定义。"""
import functools
import os
from typing import Literal
from dotenv import load_dotenv
from langgraph.graph import StateGraph, END
from agent.state import AgentState
from agent.nodes import (
load_session_node,
process_input,
manage_context,
save_state_snapshot,
classify_intent,
retrieve,
generate,
modify_jrxml,
handle_consult,
handle_undo,
handle_reset,
save_session_node,
validate,
explain_error,
correct_jrxml,
finalize,
)
from backend.logger import get_logger
load_dotenv()
MAX_RETRY = int(os.getenv("MAX_RETRY", "3"))
_graph_log = get_logger("agent")
def _log_route(route_name: str):
"""装饰器:自动记录路由决策。"""
def decorator(func):
@functools.wraps(func)
def wrapper(state: AgentState, *args, **kwargs):
target = func(state, *args, **kwargs)
_graph_log.info(
f"[路由] {route_name}{target}",
extra={
"route": route_name,
"target": target,
"session_id": state.get("session_id", ""),
"intent": state.get("intent", ""),
"status": state.get("status", ""),
"has_jrxml": bool(state.get("current_jrxml", "").strip()),
"retry_count": state.get("retry_count", 0),
},
)
return target
return wrapper
return decorator
# ============================================================
# 路由函数
# ============================================================
@_log_route("route_by_intent")
def route_by_intent(state: AgentState) -> Literal[
"retrieve", "modify_jrxml", "save_session",
"handle_consult", "handle_undo", "handle_reset"
]:
"""根据 classify_intent 的结果路由到对应的处理节点。"""
intent = state.get("intent", "initial_generation")
if intent == "initial_generation":
return "retrieve"
elif intent == "modify_report":
return "modify_jrxml"
elif intent in ("preview_report", "export_pdf", "export_jrxml"):
return "save_session"
elif intent == "consult_question":
return "handle_consult"
elif intent == "undo_modification":
return "handle_undo"
elif intent == "reset_session":
return "handle_reset"
else:
# 兜底:根据是否有报表判断
if state.get("current_jrxml"):
return "modify_jrxml"
return "retrieve"
@_log_route("route_after_generate")
def route_after_generate(state: AgentState) -> Literal["save_session"]:
return "save_session"
@_log_route("route_after_modify")
def route_after_modify(state: AgentState) -> Literal["save_session"]:
return "save_session"
@_log_route("route_after_undo")
def route_after_undo(state: AgentState) -> Literal["save_session"]:
return "save_session"
@_log_route("route_after_save")
def route_after_save(state: AgentState) -> Literal["validate", "finalize"]:
# 预览/导出意图跳过验证,直接完成
intent = state.get("intent", "")
if intent in ("preview_report", "export_pdf", "export_jrxml"):
return "finalize"
return "validate"
@_log_route("route_after_validate")
def route_after_validate(state: AgentState) -> Literal["finalize", "explain_error"]:
if state.get("status") == "pass":
return "finalize"
return "explain_error"
@_log_route("route_after_explain")
def route_after_explain(state: AgentState) -> Literal["correct_jrxml"]:
return "correct_jrxml"
@_log_route("route_after_correct")
def route_after_correct(state: AgentState) -> Literal["validate", "finalize"]:
retry = state.get("retry_count", 0)
if retry >= MAX_RETRY:
return "finalize"
return "validate"
# ============================================================
# 图构建
# ============================================================
def build_graph() -> StateGraph:
workflow = StateGraph(AgentState)
# 现有节点
workflow.add_node("load_session", load_session_node)
workflow.add_node("process_input", process_input)
workflow.add_node("manage_context", manage_context)
workflow.add_node("save_session", save_session_node)
workflow.add_node("retrieve", retrieve)
workflow.add_node("generate", generate)
workflow.add_node("modify_jrxml", modify_jrxml)
workflow.add_node("validate", validate)
workflow.add_node("explain_error", explain_error)
workflow.add_node("correct_jrxml", correct_jrxml)
workflow.add_node("finalize", finalize)
# 新增节点:意图识别
workflow.add_node("save_state_snapshot", save_state_snapshot)
workflow.add_node("classify_intent", classify_intent)
workflow.add_node("handle_consult", handle_consult)
workflow.add_node("handle_undo", handle_undo)
workflow.add_node("handle_reset", handle_reset)
# ---- 入口和前置流程 ----
workflow.set_entry_point("load_session")
workflow.add_edge("load_session", "process_input")
workflow.add_edge("process_input", "manage_context")
workflow.add_edge("manage_context", "save_state_snapshot")
workflow.add_edge("save_state_snapshot", "classify_intent")
# ---- 意图路由 ----
workflow.add_conditional_edges(
"classify_intent",
route_by_intent,
{
"retrieve": "retrieve",
"modify_jrxml": "modify_jrxml",
"save_session": "save_session",
"handle_consult": "handle_consult",
"handle_undo": "handle_undo",
"handle_reset": "handle_reset",
},
)
# ---- 初始生成分支 ----
workflow.add_edge("retrieve", "generate")
workflow.add_conditional_edges(
"generate",
route_after_generate,
{"save_session": "save_session"},
)
# ---- 修改分支 ----
workflow.add_conditional_edges(
"modify_jrxml",
route_after_modify,
{"save_session": "save_session"},
)
# ---- 撤销分支 ----
workflow.add_conditional_edges(
"handle_undo",
route_after_undo,
{"save_session": "save_session"},
)
# ---- 保存后进入验证 ----
workflow.add_conditional_edges(
"save_session",
route_after_save,
{"validate": "validate"},
)
# ---- 验证 → 修正循环 ----
workflow.add_conditional_edges(
"validate",
route_after_validate,
{"finalize": "finalize", "explain_error": "explain_error"},
)
workflow.add_conditional_edges(
"explain_error",
route_after_explain,
{"correct_jrxml": "correct_jrxml"},
)
workflow.add_conditional_edges(
"correct_jrxml",
route_after_correct,
{"validate": "validate", "finalize": "finalize"},
)
# ---- 咨询 / 重置 → 直接结束 ----
workflow.add_edge("handle_consult", "finalize")
workflow.add_edge("handle_reset", "finalize")
# ---- 结束 ----
workflow.add_edge("finalize", END)
return workflow.compile()
# ============================================================
# 初始状态
# ============================================================
def create_initial_state() -> AgentState:
return AgentState(
conversation_history=[],
current_jrxml="",
user_input="",
status="",
error_msg="",
natural_explanation="",
retry_count=0,
user_modification_request="",
final_jrxml="",
stage="initial_generation",
retrieved_context="",
full_conversation_history=[],
compressed_history="",
current_token_count=0,
session_id="",
session_name="",
created_at="",
updated_at="",
intent="",
history_states=[],
jrxml_versions=[],
last_error_case={},
pending_failure_context={},
)