bugfix
This commit is contained in:
parent
96242f49b3
commit
77ab6ba30c
@ -1,5 +1,8 @@
|
||||
from ahserver.ServerEnv import ServerEnv
|
||||
from .agent import skillagent
|
||||
from skillengine import IndustrialSkillEngine
|
||||
|
||||
def load_skillagent():
|
||||
env = ServerEnv()
|
||||
env.engine = IndustrialSkillEngine
|
||||
env.skillagent = skillagent
|
||||
|
||||
@ -1,5 +1,6 @@
|
||||
import os
|
||||
import re
|
||||
import asyncio
|
||||
import yaml
|
||||
import logging
|
||||
import subprocess
|
||||
@ -7,6 +8,8 @@ import hashlib
|
||||
from pathlib import Path
|
||||
from datetime import datetime
|
||||
from typing import List, Dict, Any
|
||||
form ahserver.serverenv import ServerEnv
|
||||
from appPublic.dictObject import DictObject
|
||||
|
||||
# 配置审计日志
|
||||
logging.basicConfig(
|
||||
@ -15,15 +18,77 @@ logging.basicConfig(
|
||||
format='%(asctime)s [%(levelname)s] %(message)s'
|
||||
)
|
||||
|
||||
class LLMHandler:
|
||||
def __init__(self, request, llmid, apikey=None):
|
||||
self.llmid = llmid
|
||||
self.apikey = apikey
|
||||
self.request = request
|
||||
|
||||
async def __call__(self, prompt):
|
||||
env = ServerEnv()
|
||||
kw = {
|
||||
"stream": False,
|
||||
"llmid": self.llmid,
|
||||
"prompt": prompt
|
||||
}
|
||||
kw = DictObject(**kw)
|
||||
r = await env.inference(self, request, params_kw=kw)
|
||||
return r.content
|
||||
|
||||
async def run_subprocess(command, cwd, env, timeout=30.0):
|
||||
try:
|
||||
# 启动子进程
|
||||
# stdout/stderr 设置为 PIPE 对应原来的 capture_output=True
|
||||
process = await asyncio.create_subprocess_shell(
|
||||
command,
|
||||
stdout=asyncio.subprocess.PIPE,
|
||||
stderr=asyncio.subprocess.PIPE,
|
||||
cwd=cwd,
|
||||
env=env,
|
||||
# 注意：asyncio 默认处理字节流，如果需要文本，后面需手动 decode
|
||||
)
|
||||
|
||||
# 使用 wait_for 实现 timeout 功能
|
||||
try:
|
||||
# wait_for 会在超时后抛出 TimeoutError 并自动 cancel 协程
|
||||
stdout, stderr = await asyncio.wait_for(process.communicate(), timeout=timeout)
|
||||
except asyncio.TimeoutError:
|
||||
process.kill() # 超时强制杀掉进程
|
||||
await process.wait() # 确保资源回收
|
||||
raise Exception(f"{command} 执行超时")
|
||||
|
||||
# 对应 text=True，手动解码
|
||||
return {
|
||||
"stdout": stdout.decode().strip(),
|
||||
"stderr": stderr.decode().strip(),
|
||||
"return_code": process.returncode
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
print(f"{command} 执行异常: {e}")
|
||||
return None
|
||||
|
||||
class IndustrialSkillEngine:
|
||||
def __init__(self, skills_dir: str, llm_handler):
|
||||
def __init__(self, request, skills_dir: str, llmid, apikey=None):
|
||||
self.root = Path(skills_dir).resolve()
|
||||
self.llm = llm_handler
|
||||
self.llm = LLMHandler(request, llmid, apikey=apikey)
|
||||
self.registry = {}
|
||||
self.task_queue = asyncio.Queue(maxsize=20)
|
||||
self.session_id = hashlib.md5(str(datetime.now()).encode()).hexdigest()[:8]
|
||||
# 状态机：记录当前任务执行到的步骤
|
||||
self.state = {"current_skill": None, "history": [], "pending_params": []}
|
||||
|
||||
async def write_output(self, data=None):
|
||||
await self.task_queue.put(data)
|
||||
|
||||
async def gen_output(self):
|
||||
while True:
|
||||
data = await self.task_queue.get()
|
||||
if not data:
|
||||
break;
|
||||
yield data
|
||||
asyncio.sleep(0.1)
|
||||
|
||||
# --- 1. 工业级初始化：依赖检查与索引 ---
|
||||
def boot(self):
|
||||
for skill_md in self.root.glob("**/SKILL.md"):
|
||||
@ -45,18 +110,18 @@ class IndustrialSkillEngine:
|
||||
logging.info(f"Engine Booted. Session: {self.session_id}. Skills: {list(self.registry.keys())}")
|
||||
|
||||
# --- 2. 自动化依赖环境隔离 (venv 思想) ---
|
||||
def _ensure_dependencies(self, skill_name: str):
|
||||
async def _ensure_dependencies(self, skill_name: str):
|
||||
skill = self.registry[skill_name]
|
||||
if skill["has_deps"]:
|
||||
# 工业级引擎通常会检查一个隐藏的 .installed 标识
|
||||
if not (skill["root"] / ".deps_installed").exists():
|
||||
print(f"📦 正在为技能 {skill_name} 安装必要依赖...")
|
||||
subprocess.run(["pip", "install", "-r", "requirements.txt"], cwd=skill["root"])
|
||||
await run_subprocess(["pip", "install", "-r", "requirements.txt"], cwd=skill["root"])
|
||||
(skill["root"] / ".deps_installed").touch()
|
||||
|
||||
# --- 3. 增强版安全执行器：带重试逻辑与审计 ---
|
||||
def _execute_with_retry(self, command: str, skill_name: str, retry_count=1) -> str:
|
||||
self._ensure_dependencies(skill_name)
|
||||
async def _execute_with_retry(self, command: str, skill_name: str, retry_count=1) -> str:
|
||||
await self._ensure_dependencies(skill_name)
|
||||
|
||||
# 安全预检：禁止敏感命令
|
||||
forbidden = ["rm ", "> /dev/", "chmod", "sudo"]
|
||||
@ -64,9 +129,9 @@ class IndustrialSkillEngine:
|
||||
return "🚫 安全风险：检测到非法指令，执行被拦截。"
|
||||
|
||||
# 权限确认 (Y/N)
|
||||
print(f"\n\033[1;33m[Audit ID: {self.session_id}]\033[0m 请求执行: {command}")
|
||||
confirm = input("是否授权执行？(y/n/skip): ").lower()
|
||||
if confirm != 'y': return "Execution skipped by user."
|
||||
# print(f"\n\033[1;33m[Audit ID: {self.session_id}]\033[0m 请求执行: {command}")
|
||||
# confirm = input("是否授权执行？(y/n/skip): ").lower()
|
||||
# if confirm != 'y': return "Execution skipped by user."
|
||||
|
||||
logging.info(f"Executing: {command} in {skill_name}")
|
||||
|
||||
@ -74,8 +139,7 @@ class IndustrialSkillEngine:
|
||||
env = os.environ.copy()
|
||||
env["SKILL_CONTEXT"] = skill_name
|
||||
|
||||
res = subprocess.run(command, shell=True, cwd=self.registry[skill_name]["root"],
|
||||
env=env, capture_output=True, text=True, timeout=30)
|
||||
res = await run_subprocess(command, cwd=self.registry[skill_name]["root"], env=env, timeout=30)
|
||||
|
||||
if res.return_code != 0:
|
||||
# 工业级特性：自动将错误回传给 LLM 进行自愈 (Self-healing)
|
||||
@ -84,7 +148,7 @@ class IndustrialSkillEngine:
|
||||
print(f"⚠️ 执行失败，尝试让 AI 自愈修复参数...")
|
||||
new_prompt = f"命令 '{command}' 失败，错误信息: {res.stderr}。请根据错误重新生成正确的命令，或提示用户补全参数。"
|
||||
# 这里会递归调用逻辑进行修复
|
||||
return self.run(new_prompt, is_retry=True)
|
||||
return await self.run(new_prompt, is_retry=True)
|
||||
return f"Error: {res.stderr}"
|
||||
|
||||
return res.stdout
|
||||
@ -92,7 +156,7 @@ class IndustrialSkillEngine:
|
||||
return str(e)
|
||||
|
||||
# --- 4. 递归文档注入与意图路由 ---
|
||||
def _get_expanded_context(self, skill_name: str, user_prompt: str):
|
||||
async def _get_expanded_context(self, skill_name: str, user_prompt: str):
|
||||
skill = self.registry[skill_name]
|
||||
base_content = skill["content"]
|
||||
|
||||
@ -106,34 +170,59 @@ class IndustrialSkillEngine:
|
||||
|
||||
if found_docs:
|
||||
# 仅在模型认为有必要时，“点餐式”加载
|
||||
choice = self.llm(f"用户问题: {user_prompt}\n可选深入文档: {found_docs}\n需要读取哪个？(仅返回路径，不需则返回 None)")
|
||||
choice = await self.llm(f"用户问题: {user_prompt}\n可选深入文档: {found_docs}\n需要读取哪个？(仅返回路径，不需则返回 None)")
|
||||
if choice != "None" and any(choice in doc for doc in found_docs):
|
||||
with open(skill["root"] / choice, 'r') as f:
|
||||
print(f"📂 深度加载: {choice}")
|
||||
await self.write_output({
|
||||
"status": "PROCESSING",
|
||||
"hint": f"📂 深度加载: {choice}"
|
||||
})
|
||||
base_content += f"\n\n--- 深度参考 ({choice}) ---\n{f.read()}"
|
||||
|
||||
return base_content
|
||||
|
||||
# --- 5. 主运行接口 ---
|
||||
def run(self, user_prompt: str, is_retry=False):
|
||||
async def run(self, user_prompt: str, is_retry=False):
|
||||
# 如果是重试，跳过技能选择
|
||||
if not is_retry:
|
||||
await self.write_output({
|
||||
"status": "PROCESSING",
|
||||
"hint": "寻找合适的skill"
|
||||
})
|
||||
skill_map = {n: v["description"] for n, v in self.registry.items()}
|
||||
target = self.llm(f"用户意图: {user_prompt}\n可选技能清单: {skill_map}\n请返回匹配的技能名:")
|
||||
target = await self.llm(f"用户意图: {user_prompt}\n可选技能清单: {skill_map}\n请返回匹配的技能名:")
|
||||
self.state["current_skill"] = target
|
||||
await self.write_output({
|
||||
"status":"PROCESSING",
|
||||
"hint": f"找到skill={target}"
|
||||
})
|
||||
|
||||
skill_name = self.state["current_skill"]
|
||||
if skill_name not in self.registry: return "Skill not found."
|
||||
if skill_name not in self.registry:
|
||||
await self.write_output({
|
||||
"status": "FAILED",
|
||||
"error": f"技能名{skill_name}未注册"
|
||||
})
|
||||
return "Skill not found."
|
||||
|
||||
# 获取递归上下文
|
||||
context = self._get_expanded_context(skill_name, user_prompt)
|
||||
context = await self._get_expanded_context(skill_name, user_prompt)
|
||||
|
||||
# 决策：是直接回答还是执行脚本
|
||||
decision = self.llm(f"上下文: {context}\n问题: {user_prompt}\n决定动作：EXEC: <command> 或 ANSWER: <text>")
|
||||
decision = await self.llm(f"上下文: {context}\n问题: {user_prompt}\n决定动作：EXEC: <command> 或 ANSWER: <text> 或 REPLY: <question>")
|
||||
|
||||
if "REPLY" in decision:
|
||||
await self.write_output({
|
||||
"status": "REPLY",
|
||||
"quest": decision.split("REPLY:")[1].strip()
|
||||
})
|
||||
if "EXEC:" in decision:
|
||||
cmd = decision.split("EXEC:")[1].strip()
|
||||
return self._execute_with_retry(cmd, skill_name)
|
||||
output = await self._execute_with_retry(cmd, skill_name)
|
||||
if not is_retry: await self.write_output(output)
|
||||
return output
|
||||
|
||||
return decision.replace("ANSWER:", "").strip()
|
||||
output = decision.replace("ANSWER:", "").strip()
|
||||
await self.write_output(output)
|
||||
return output
|
||||
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user