177 lines
8.2 KiB
Python
177 lines
8.2 KiB
Python
from toolbox import get_log_folder, update_ui, gen_time_str, get_conf, promote_file_to_downloadzone
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from crazy_functions.agent_fns.watchdog import WatchDog
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import time, os
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class PipeCom():
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def __init__(self, cmd, content) -> None:
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self.cmd = cmd
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self.content = content
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class PluginMultiprocessManager():
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def __init__(self, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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# ⭐ 主进程
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self.autogen_work_dir = os.path.join(get_log_folder('autogen'), gen_time_str())
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self.previous_work_dir_files = {}
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self.llm_kwargs = llm_kwargs
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self.plugin_kwargs = plugin_kwargs
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self.chatbot = chatbot
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self.history = history
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self.system_prompt = system_prompt
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self.web_port = web_port
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self.alive = True
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self.use_docker = get_conf('AUTOGEN_USE_DOCKER')
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# create a thread to monitor self.heartbeat, terminate the instance if no heartbeat for a long time
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timeout_seconds = 5*60
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self.heartbeat_watchdog = WatchDog(timeout=timeout_seconds, bark_fn=self.terminate, interval=5)
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self.heartbeat_watchdog.begin_watch()
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def feed_heartbeat_watchdog(self):
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# feed this `dog`, so the dog will not `bark` (bark_fn will terminate the instance)
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self.heartbeat_watchdog.feed()
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def is_alive(self):
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return self.alive
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def launch_subprocess_with_pipe(self):
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# ⭐ 主进程
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from multiprocessing import Process, Pipe
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parent_conn, child_conn = Pipe()
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self.p = Process(target=self.subprocess_worker, args=(child_conn,))
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self.p.daemon = True
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self.p.start()
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return parent_conn
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def terminate(self):
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self.p.terminate()
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self.alive = False
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print('[debug] instance terminated')
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def subprocess_worker(self, child_conn):
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# ⭐⭐ 子进程
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raise NotImplementedError
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def send_command(self, cmd):
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# ⭐ 主进程
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self.parent_conn.send(PipeCom("user_input", cmd))
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def immediate_showoff_when_possible(self, fp):
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# ⭐ 主进程
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# 获取fp的拓展名
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file_type = fp.split('.')[-1]
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# 如果是文本文件, 则直接显示文本内容
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if file_type.lower() in ['png', 'jpg']:
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image_path = os.path.abspath(fp)
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self.chatbot.append(['检测到新生图像:', f'本地文件预览: <br/><div align="center"><img src="file={image_path}"></div>'])
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yield from update_ui(chatbot=self.chatbot, history=self.history)
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def overwatch_workdir_file_change(self):
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# ⭐ 主进程 Docker 外挂文件夹监控
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path_to_overwatch = self.autogen_work_dir
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change_list = []
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# 扫描路径下的所有文件, 并与self.previous_work_dir_files中所记录的文件进行对比，
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# 如果有新文件出现，或者文件的修改时间发生变化，则更新self.previous_work_dir_files中
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# 把新文件和发生变化的文件的路径记录到 change_list 中
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for root, dirs, files in os.walk(path_to_overwatch):
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for file in files:
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file_path = os.path.join(root, file)
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if file_path not in self.previous_work_dir_files.keys():
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last_modified_time = os.stat(file_path).st_mtime
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self.previous_work_dir_files.update({file_path:last_modified_time})
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change_list.append(file_path)
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else:
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last_modified_time = os.stat(file_path).st_mtime
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if last_modified_time != self.previous_work_dir_files[file_path]:
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self.previous_work_dir_files[file_path] = last_modified_time
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change_list.append(file_path)
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if len(change_list) > 0:
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file_links = ''
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for f in change_list:
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res = promote_file_to_downloadzone(f)
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file_links += f'<br/><a href="file={res}" target="_blank">{res}</a>'
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yield from self.immediate_showoff_when_possible(f)
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self.chatbot.append(['检测到新生文档.', f'文档清单如下: {file_links}'])
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yield from update_ui(chatbot=self.chatbot, history=self.history)
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return change_list
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def main_process_ui_control(self, txt, create_or_resume) -> str:
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# ⭐ 主进程
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if create_or_resume == 'create':
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self.cnt = 1
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self.parent_conn = self.launch_subprocess_with_pipe() # ⭐⭐⭐
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self.send_command(txt)
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if txt == 'exit':
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self.chatbot.append([f"结束", "结束信号已明确，终止AutoGen程序。"])
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yield from update_ui(chatbot=self.chatbot, history=self.history)
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self.terminate()
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return "terminate"
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# patience = 10
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while True:
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time.sleep(0.5)
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if not self.alive:
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# the heartbeat watchdog might have it killed
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self.terminate()
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return "terminate"
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if self.parent_conn.poll():
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self.feed_heartbeat_watchdog()
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if '[GPT-Academic] 等待中' in self.chatbot[-1][-1]:
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self.chatbot.pop(-1) # remove the last line
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msg = self.parent_conn.recv() # PipeCom
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if msg.cmd == "done":
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self.chatbot.append([f"结束", msg.content]); self.cnt += 1
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yield from update_ui(chatbot=self.chatbot, history=self.history)
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self.terminate(); break
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if msg.cmd == "show":
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yield from self.overwatch_workdir_file_change()
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self.chatbot.append([f"运行阶段-{self.cnt}", msg.content]); self.cnt += 1
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yield from update_ui(chatbot=self.chatbot, history=self.history)
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if msg.cmd == "interact":
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yield from self.overwatch_workdir_file_change()
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self.chatbot.append([f"程序抵达用户反馈节点.", msg.content +
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"\n\n等待您的进一步指令." +
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"\n\n(1) 一般情况下您不需要说什么, 清空输入区, 然后直接点击“提交”以继续. " +
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"\n\n(2) 如果您需要补充些什么, 输入要反馈的内容, 直接点击“提交”以继续. " +
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"\n\n(3) 如果您想终止程序, 输入exit, 直接点击“提交”以终止AutoGen并解锁. "
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])
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yield from update_ui(chatbot=self.chatbot, history=self.history)
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# do not terminate here, leave the subprocess_worker instance alive
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return "wait_feedback"
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else:
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self.feed_heartbeat_watchdog()
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if '[GPT-Academic] 等待中' not in self.chatbot[-1][-1]:
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# begin_waiting_time = time.time()
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self.chatbot.append(["[GPT-Academic] 等待AutoGen执行结果 ...", "[GPT-Academic] 等待中"])
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self.chatbot[-1] = [self.chatbot[-1][0], self.chatbot[-1][1].replace("[GPT-Academic] 等待中", "[GPT-Academic] 等待中.")]
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yield from update_ui(chatbot=self.chatbot, history=self.history)
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# if time.time() - begin_waiting_time > patience:
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# self.chatbot.append([f"结束", "等待超时, 终止AutoGen程序。"])
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# yield from update_ui(chatbot=self.chatbot, history=self.history)
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# self.terminate()
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# return "terminate"
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self.terminate()
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return "terminate"
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def subprocess_worker_wait_user_feedback(self, wait_msg="wait user feedback"):
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# ⭐⭐ 子进程
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patience = 5 * 60
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begin_waiting_time = time.time()
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self.child_conn.send(PipeCom("interact", wait_msg))
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while True:
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time.sleep(0.5)
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if self.child_conn.poll():
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wait_success = True
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break
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if time.time() - begin_waiting_time > patience:
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self.child_conn.send(PipeCom("done", ""))
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wait_success = False
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break
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return wait_success
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