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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, user_request): |
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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.alive = True |
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self.use_docker = get_conf("AUTOGEN_USE_DOCKER") |
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self.last_user_input = "" |
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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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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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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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raise NotImplementedError |
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def send_command(self, cmd): |
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repeated = False |
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if cmd == self.last_user_input: |
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repeated = True |
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cmd = "" |
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else: |
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self.last_user_input = cmd |
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self.parent_conn.send(PipeCom("user_input", cmd)) |
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return repeated, cmd |
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def immediate_showoff_when_possible(self, fp): |
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file_type = fp.split('.')[-1] |
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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([ |
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'检测到新生图像:', |
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f'本地文件预览: <br/><div align="center"><img src="file={image_path}"></div>' |
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]) |
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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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path_to_overwatch = self.autogen_work_dir |
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change_list = [] |
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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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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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repeated, cmd_to_autogen = 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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while True: |
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time.sleep(0.5) |
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if not self.alive: |
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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) |
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if "等待您的进一步指令" in self.chatbot[-1][-1]: |
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self.chatbot.pop(-1) |
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if '[GPT-Academic] 等待中' in self.chatbot[-1][-1]: |
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self.chatbot.pop(-1) |
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msg = self.parent_conn.recv() |
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if msg.cmd == "done": |
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self.chatbot.append([f"结束", msg.content]) |
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self.cnt += 1 |
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yield from update_ui(chatbot=self.chatbot, history=self.history) |
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self.terminate() |
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break |
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if msg.cmd == "show": |
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yield from self.overwatch_workdir_file_change() |
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notice = "" |
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if repeated: notice = "(自动忽略重复的输入)" |
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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]) |
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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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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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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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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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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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