Spaces:
Paused
Paused
| from toolbox import get_log_folder, update_ui, gen_time_str, get_conf, promote_file_to_downloadzone | |
| from crazy_functions.agent_fns.watchdog import WatchDog | |
| import time, os | |
| class PipeCom: | |
| def __init__(self, cmd, content) -> None: | |
| self.cmd = cmd | |
| self.content = content | |
| class PluginMultiprocessManager: | |
| def __init__(self, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port): | |
| # ⭐ run in main process | |
| self.autogen_work_dir = os.path.join(get_log_folder("autogen"), gen_time_str()) | |
| self.previous_work_dir_files = {} | |
| self.llm_kwargs = llm_kwargs | |
| self.plugin_kwargs = plugin_kwargs | |
| self.chatbot = chatbot | |
| self.history = history | |
| self.system_prompt = system_prompt | |
| # self.web_port = web_port | |
| self.alive = True | |
| self.use_docker = get_conf("AUTOGEN_USE_DOCKER") | |
| self.last_user_input = "" | |
| # create a thread to monitor self.heartbeat, terminate the instance if no heartbeat for a long time | |
| timeout_seconds = 5 * 60 | |
| self.heartbeat_watchdog = WatchDog(timeout=timeout_seconds, bark_fn=self.terminate, interval=5) | |
| self.heartbeat_watchdog.begin_watch() | |
| def feed_heartbeat_watchdog(self): | |
| # feed this `dog`, so the dog will not `bark` (bark_fn will terminate the instance) | |
| self.heartbeat_watchdog.feed() | |
| def is_alive(self): | |
| return self.alive | |
| def launch_subprocess_with_pipe(self): | |
| # ⭐ run in main process | |
| from multiprocessing import Process, Pipe | |
| parent_conn, child_conn = Pipe() | |
| self.p = Process(target=self.subprocess_worker, args=(child_conn,)) | |
| self.p.daemon = True | |
| self.p.start() | |
| return parent_conn | |
| def terminate(self): | |
| self.p.terminate() | |
| self.alive = False | |
| print("[debug] instance terminated") | |
| def subprocess_worker(self, child_conn): | |
| # ⭐⭐ run in subprocess | |
| raise NotImplementedError | |
| def send_command(self, cmd): | |
| # ⭐ run in main process | |
| repeated = False | |
| if cmd == self.last_user_input: | |
| repeated = True | |
| cmd = "" | |
| else: | |
| self.last_user_input = cmd | |
| self.parent_conn.send(PipeCom("user_input", cmd)) | |
| return repeated, cmd | |
| def immediate_showoff_when_possible(self, fp): | |
| # ⭐ 主进程 | |
| # 获取fp的拓展名 | |
| file_type = fp.split('.')[-1] | |
| # 如果是文本文件, 则直接显示文本内容 | |
| if file_type.lower() in ['png', 'jpg']: | |
| image_path = os.path.abspath(fp) | |
| 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>' | |
| ]) | |
| yield from update_ui(chatbot=self.chatbot, history=self.history) | |
| def overwatch_workdir_file_change(self): | |
| # ⭐ 主进程 Docker 外挂文件夹监控 | |
| path_to_overwatch = self.autogen_work_dir | |
| change_list = [] | |
| # 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， | |
| # 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 | |
| # 把新文件和发生变化的文件的路径记录到 change_list 中 | |
| for root, dirs, files in os.walk(path_to_overwatch): | |
| for file in files: | |
| file_path = os.path.join(root, file) | |
| if file_path not in self.previous_work_dir_files.keys(): | |
| last_modified_time = os.stat(file_path).st_mtime | |
| self.previous_work_dir_files.update({file_path: last_modified_time}) | |
| change_list.append(file_path) | |
| else: | |
| last_modified_time = os.stat(file_path).st_mtime | |
| if last_modified_time != self.previous_work_dir_files[file_path]: | |
| self.previous_work_dir_files[file_path] = last_modified_time | |
| change_list.append(file_path) | |
| if len(change_list) > 0: | |
| file_links = "" | |
| for f in change_list: | |
| res = promote_file_to_downloadzone(f) | |
| file_links += f'<br/><a href="file={res}" target="_blank">{res}</a>' | |
| yield from self.immediate_showoff_when_possible(f) | |
| self.chatbot.append(['检测到新生文档.', f'文档清单如下: {file_links}']) | |
| yield from update_ui(chatbot=self.chatbot, history=self.history) | |
| return change_list | |
| def main_process_ui_control(self, txt, create_or_resume) -> str: | |
| # ⭐ 主进程 | |
| if create_or_resume == 'create': | |
| self.cnt = 1 | |
| self.parent_conn = self.launch_subprocess_with_pipe() # ⭐⭐⭐ | |
| repeated, cmd_to_autogen = self.send_command(txt) | |
| if txt == 'exit': | |
| self.chatbot.append([f"结束", "结束信号已明确，终止AutoGen程序。"]) | |
| yield from update_ui(chatbot=self.chatbot, history=self.history) | |
| self.terminate() | |
| return "terminate" | |
| # patience = 10 | |
| while True: | |
| time.sleep(0.5) | |
| if not self.alive: | |
| # the heartbeat watchdog might have it killed | |
| self.terminate() | |
| return "terminate" | |
| if self.parent_conn.poll(): | |
| self.feed_heartbeat_watchdog() | |
| if "[GPT-Academic] 等待中" in self.chatbot[-1][-1]: | |
| self.chatbot.pop(-1) # remove the last line | |
| if "等待您的进一步指令" in self.chatbot[-1][-1]: | |
| self.chatbot.pop(-1) # remove the last line | |
| if '[GPT-Academic] 等待中' in self.chatbot[-1][-1]: | |
| self.chatbot.pop(-1) # remove the last line | |
| msg = self.parent_conn.recv() # PipeCom | |
| if msg.cmd == "done": | |
| self.chatbot.append([f"结束", msg.content]) | |
| self.cnt += 1 | |
| yield from update_ui(chatbot=self.chatbot, history=self.history) | |
| self.terminate() | |
| break | |
| if msg.cmd == "show": | |
| yield from self.overwatch_workdir_file_change() | |
| notice = "" | |
| if repeated: notice = "（自动忽略重复的输入）" | |
| self.chatbot.append([f"运行阶段-{self.cnt}（上次用户反馈输入为: 「{cmd_to_autogen}」{notice}", msg.content]) | |
| self.cnt += 1 | |
| yield from update_ui(chatbot=self.chatbot, history=self.history) | |
| if msg.cmd == "interact": | |
| yield from self.overwatch_workdir_file_change() | |
| self.chatbot.append([f"程序抵达用户反馈节点.", msg.content + | |
| "\n\n等待您的进一步指令." + | |
| "\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. " + | |
| "\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. " + | |
| "\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. " | |
| ]) | |
| yield from update_ui(chatbot=self.chatbot, history=self.history) | |
| # do not terminate here, leave the subprocess_worker instance alive | |
| return "wait_feedback" | |
| else: | |
| self.feed_heartbeat_watchdog() | |
| if '[GPT-Academic] 等待中' not in self.chatbot[-1][-1]: | |
| # begin_waiting_time = time.time() | |
| self.chatbot.append(["[GPT-Academic] 等待AutoGen执行结果 ...", "[GPT-Academic] 等待中"]) | |
| self.chatbot[-1] = [self.chatbot[-1][0], self.chatbot[-1][1].replace("[GPT-Academic] 等待中", "[GPT-Academic] 等待中.")] | |
| yield from update_ui(chatbot=self.chatbot, history=self.history) | |
| # if time.time() - begin_waiting_time > patience: | |
| # self.chatbot.append([f"结束", "等待超时, 终止AutoGen程序。"]) | |
| # yield from update_ui(chatbot=self.chatbot, history=self.history) | |
| # self.terminate() | |
| # return "terminate" | |
| self.terminate() | |
| return "terminate" | |
| def subprocess_worker_wait_user_feedback(self, wait_msg="wait user feedback"): | |
| # ⭐⭐ run in subprocess | |
| patience = 5 * 60 | |
| begin_waiting_time = time.time() | |
| self.child_conn.send(PipeCom("interact", wait_msg)) | |
| while True: | |
| time.sleep(0.5) | |
| if self.child_conn.poll(): | |
| wait_success = True | |
| break | |
| if time.time() - begin_waiting_time > patience: | |
| self.child_conn.send(PipeCom("done", "")) | |
| wait_success = False | |
| break | |
| return wait_success | |