Spaces:
Build error
Build error
File size: 9,221 Bytes
17d0a32 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 |
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
|