agent_deply/pam_deploy_graph/interactive.py
dark a11904b7c5 docs/build: 补齐中文注释、流程图和 Linux 解压即用打包脚本
- 为 pam_deploy_graph 生产代码补充中文模块、类、函数/方法文档字符串
- 将原有英文说明和主要英文异常提示改为中文
- 新增当前整体逻辑结构流程图文档,覆盖模块结构、执行链路、action 路由、人工确认和 checkpoint 续跑
- 新增 Linux 自带运行环境打包脚本,使用 PyInstaller 生成解压即用目录和 tar.gz
- 新增 Linux 打包说明,包含构建命令、运行方式、依赖说明和包大小评估
- 同步 README,补充流程图、打包方式、产物路径和大小预估
- 更新相关测试断言以匹配中文错误提示
2026-06-01 11:21:42 +08:00

310 lines
12 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

"""PAM 部署 Agent 的常驻式交互 CLI 会话。"""
from __future__ import annotations
import time
from dataclasses import asdict
from pathlib import Path
from typing import Any, Callable
from .agent import PamDeployAgent
from .checkpoint_store import load_agent_state, redact_mapping
from .models import AgentState, ExecutionStrategy
InputFunc = Callable[[str], str]
OutputFunc = Callable[[str], None]
COMMAND_HELP = """可用命令:
help 显示帮助
preview 查看当前参数和执行策略
analyze <需求> 只做理解和计划,不执行
set KEY=VALUE 修改当前会话参数
run 创建部署任务并执行
status 查看当前运行状态
approve 确认待处理回滚
reject [原因] 拒绝待处理回滚
resume 从当前 checkpoint 续跑
checkpoint 显示 checkpoint 路径
exit 退出
也可以直接输入自然语言需求Agent 会先分析并更新会话参数;执行仍需输入 run。
"""
class InteractiveCliSession:
"""维护一次交互式 CLI 会话的参数、状态和命令处理逻辑。"""
def __init__(
self,
*,
agent: PamDeployAgent,
params: dict[str, Any],
strategy: ExecutionStrategy = "hybrid_node_mcp",
checkpoint_path: str | None = None,
target_ips: list[str] | None = None,
input_func: InputFunc = input,
output_func: OutputFunc = print,
) -> None:
"""初始化会话上下文和输入输出函数。"""
self.agent = agent
self.params = dict(params)
self.strategy = strategy
self.checkpoint_path = checkpoint_path or _default_checkpoint_path()
self.target_ips = list(target_ips or [])
self.input = input_func
self.output = output_func
self.state: AgentState | None = None
self.last_analysis: dict[str, Any] | None = None
def run(self) -> None:
"""启动 REPL 循环,直到用户 exit 或输入流结束。"""
self.output("PAM 部署 Agent 交互式会话")
self.output("输入 help 查看命令,输入 exit 退出。")
self._load_existing_checkpoint_if_any()
while True:
try:
line = self.input("PAM> ")
except EOFError:
self.output("bye")
return
if not self.handle_line(line):
return
def handle_line(self, line: str) -> bool:
"""处理用户输入的一行命令;返回 False 表示退出会话。"""
text = line.strip()
if not text:
return True
command, _, rest = text.partition(" ")
normalized = command.lower()
if normalized in ("exit", "quit", "q"):
self.output("bye")
return False
if normalized in ("help", "?"):
self.output(COMMAND_HELP.rstrip())
return True
if normalized == "preview":
self.output(self.agent.preview(self.params, self.strategy))
return True
if normalized == "analyze":
self._analyze(rest.strip())
return True
if normalized == "set":
self._set_param(rest.strip())
return True
if normalized in ("run", "deploy", "execute"):
self._run_deploy()
return True
if normalized == "resume":
self._resume()
return True
if normalized == "status":
self._status()
return True
if normalized == "approve":
self._confirm(approved=True, note=rest.strip())
return True
if normalized == "reject":
self._confirm(approved=False, note=rest.strip())
return True
if normalized == "checkpoint":
self.output(f"checkpoint: {self.checkpoint_path}")
return True
self._analyze(text)
return True
def _analyze(self, text: str) -> None:
"""分析自然语言需求,并更新会话中的参数、策略和目标 IP。"""
if not text:
self.output("请输入要分析的自然语言需求例如analyze 请用 MCP 预演部署 HET。")
return
result = self.agent.analyze_request(text, self.params)
self.last_analysis = result
param_result = result["params"]
intent_result = result["intent"]
plan = result["plan"]
self.params = dict(param_result.extracted_params)
self.strategy = _choose_strategy(intent_result.strategy_preference, self.strategy)
user_ips = param_result.extracted_control.get("user_specified_ips")
if isinstance(user_ips, list):
self.target_ips = [str(item) for item in user_ips]
safe_payload = redact_mapping({key: asdict(value) for key, value in result.items()})
self.output("已生成结构化理解:")
self.output(f"- intent: {intent_result.intent}")
self.output(f"- strategy: {self.strategy}")
self.output(f"- summary: {plan.summary}")
if param_result.missing_required_params:
self.output("- missing: " + ", ".join(param_result.missing_required_params))
if self.target_ips:
self.output("- target_ips: " + ", ".join(self.target_ips))
self.output("执行请输 run查看完整 JSON 可用一次性 analyze 命令。")
self.output(_format_redacted_params(safe_payload["params"]["extracted_params"]))
def _set_param(self, assignment: str) -> None:
"""处理 `set KEY=VALUE` 命令,更新当前会话参数。"""
if "=" not in assignment:
self.output("格式set KEY=VALUE")
return
key, value = assignment.split("=", 1)
key = key.strip()
if not key:
self.output("参数名不能为空。")
return
self.params[key] = value.strip()
self.output(f"已设置 {key}")
def _run_deploy(self) -> None:
"""在用户确认后创建状态并执行完整部署流程。"""
if self.state and self.state.pending_confirmation:
self._print_confirmation()
return
if not self._ask_yes_no("即将执行真实 action确认执行请输入 yes: "):
self.output("已取消执行。")
return
self.state = self.agent.create_state(
params=self.params,
execution_strategy=self.strategy,
checkpoint_path=self.checkpoint_path,
target_ips=self.target_ips,
)
self._execute_current_state()
def _resume(self) -> None:
"""从内存状态或 checkpoint 文件继续执行部署流程。"""
if self.state is None:
checkpoint = Path(self.checkpoint_path)
if not checkpoint.exists():
self.output("当前没有可续跑的 checkpoint。")
return
self.state = load_agent_state(checkpoint)
self.state.checkpoint_path = self.state.checkpoint_path or str(checkpoint)
self._execute_current_state()
def _execute_current_state(self) -> None:
"""执行当前 state并输出报告、确认提示和 checkpoint 路径。"""
if self.state is None:
self.output("当前没有运行状态。")
return
self.state = self.agent.run_deploy_flow(self.state)
self.output(self.agent.render_report(self.state))
if self.state.pending_confirmation:
self._print_confirmation()
self.output(f"checkpoint: {self.state.checkpoint_path or self.checkpoint_path}")
def _status(self) -> None:
"""输出当前运行状态;没有 state 时输出 checkpoint 路径。"""
if self.state is None:
self.output("当前还没有运行状态。")
self.output(f"checkpoint: {self.checkpoint_path}")
return
self.output(self.agent.render_report(self.state))
if self.state.pending_confirmation:
self._print_confirmation()
def _confirm(self, *, approved: bool, note: str = "") -> None:
"""处理 approve/reject 命令。"""
if self.state is None:
checkpoint = Path(self.checkpoint_path)
if checkpoint.exists():
self.state = load_agent_state(checkpoint)
self.state.checkpoint_path = self.state.checkpoint_path or str(checkpoint)
else:
self.output("当前没有待确认任务。")
return
if not self.state.pending_confirmation:
self.output("当前没有待确认任务。")
return
self.state = self.agent.confirm_pending(self.state, approved=approved, operator_note=note)
self.output(self.agent.render_report(self.state))
if self.state.pending_confirmation:
self._print_confirmation()
def _print_confirmation(self) -> None:
"""输出当前待人工确认事项。"""
if self.state is None:
return
request = self.agent.build_confirmation_request(self.state)
if not request:
return
self.output("需要人工确认:")
self.output(f"- type: {request.get('type')}")
if request.get("ip"):
self.output(f"- ip: {request['ip']}")
if request.get("failed_stage"):
self.output(f"- failed_stage: {request['failed_stage']}")
if request.get("failure_reason"):
self.output(f"- reason: {request['failure_reason']}")
self.output("输入 approve 执行回滚,或 reject [原因] 拒绝回滚。")
def _ask_yes_no(self, prompt: str) -> bool:
"""读取一次 yes/no 确认,只有 yes/y 视为确认。"""
try:
answer = self.input(prompt).strip().lower()
except EOFError:
return False
return answer in ("yes", "y")
def _load_existing_checkpoint_if_any(self) -> None:
"""会话启动时自动加载已存在的 checkpoint。"""
checkpoint = Path(self.checkpoint_path)
if not checkpoint.exists():
return
self.state = load_agent_state(checkpoint)
self.state.checkpoint_path = self.state.checkpoint_path or str(checkpoint)
self.output(f"已加载 checkpoint: {checkpoint}")
if self.state.pending_confirmation:
self._print_confirmation()
def run_interactive_chat(
*,
agent: PamDeployAgent,
params: dict[str, Any],
strategy: ExecutionStrategy,
checkpoint_path: str | None = None,
target_ips: list[str] | None = None,
input_func: InputFunc = input,
output_func: OutputFunc = print,
) -> InteractiveCliSession:
"""创建并运行交互式 CLI 会话,返回会话对象便于测试。"""
session = InteractiveCliSession(
agent=agent,
params=params,
strategy=strategy,
checkpoint_path=checkpoint_path,
target_ips=target_ips,
input_func=input_func,
output_func=output_func,
)
session.run()
return session
def _default_checkpoint_path() -> str:
"""生成默认 chat checkpoint 路径。"""
return str(Path("runtime") / "checkpoints" / f"chat_{time.strftime('%Y%m%d_%H%M%S')}.json")
def _choose_strategy(preference: str, default: ExecutionStrategy) -> ExecutionStrategy:
"""根据 LLM 偏好更新执行策略,非法值保留默认策略。"""
if preference in ("hybrid_node_mcp", "script_only", "fake"):
return preference # type: ignore[return-value]
return default
def _format_redacted_params(params: dict[str, Any]) -> str:
"""把脱敏后的参数字典格式化为多行文本。"""
lines = ["当前参数:"]
for key in sorted(params):
lines.append(f"- {key}: {params[key]}")
return "\n".join(lines)