195 lines
9.0 KiB
Python
195 lines
9.0 KiB
Python
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, user_request):
|
||
# ⭐ 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.user_request = user_request
|
||
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
|