websockets, asyncio and PyQt5 together at last. Is Quamash necessary? - python-3.x

I've been working on a client that uses PyQt5 and the websockets module which is built around asyncio. I thought that something like the code below would work but I'm finding that the incoming data (from the server) is not being updated in the GUI until I click enter in the line edit box. Those incoming messages are intended to set the pulse for the updates to the GUI and will carry data to be used for updating. Is quamash a better way to approach this? btw, I will be using processes for some other aspects of this code so I don't consider it overkill (at this point).
This is Python 3.6, PyQt5.6(or higher) and whatever version of websockets that currently installs with pip. https://github.com/aaugustin/websockets
The client:
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import asyncio
import websockets
import sys
import time
from multiprocessing import Process, Pipe, Queue
from PyQt5 import QtCore, QtGui, QtWidgets
class ComBox(QtWidgets.QDialog):
def __init__(self):
QtWidgets.QDialog.__init__(self)
self.verticalLayout = QtWidgets.QVBoxLayout(self)
self.groupBox = QtWidgets.QGroupBox(self)
self.groupBox.setTitle( "messages from beyond" )
self.gridLayout = QtWidgets.QGridLayout(self.groupBox)
self.label = QtWidgets.QLabel(self.groupBox)
self.gridLayout.addWidget(self.label, 0, 0, 1, 1)
self.verticalLayout.addWidget(self.groupBox)
self.lineEdit = QtWidgets.QLineEdit(self)
self.verticalLayout.addWidget(self.lineEdit)
self.lineEdit.editingFinished.connect(self.enterPress)
#QtCore.pyqtSlot()
def enterPress(self):
mytext = str(self.lineEdit.text())
self.inputqueue.put(mytext)
#QtCore.pyqtSlot(str)
def updategui(self, message):
self.label.setText(message)
class Websocky(QtCore.QThread):
updatemaingui = QtCore.pyqtSignal(str)
def __init__(self):
super(Websocky, self).__init__()
def run(self):
while True:
time.sleep(.1)
message = self.outputqueue.get()
try:
self.updatemaingui[str].emit(message)
except Exception as e1:
print("updatemaingui problem: {}".format(e1))
async def consumer_handler(websocket):
while True:
try:
message = await websocket.recv()
outputqueue.put(message)
except Exception as e1:
print(e1)
async def producer_handler(websocket):
while True:
message = inputqueue.get()
await websocket.send(message)
await asyncio.sleep(.1)
async def handler():
async with websockets.connect('ws://localhost:8765') as websocket:
consumer_task = asyncio.ensure_future(consumer_handler(websocket))
producer_task = asyncio.ensure_future(producer_handler(websocket))
done, pending = await asyncio.wait(
[consumer_task, producer_task],
return_when=asyncio.FIRST_COMPLETED, )
for task in pending:
task.cancel()
def start_websockets():
loop = asyncio.get_event_loop()
loop.run_until_complete(handler())
inputqueue = Queue()
outputqueue = Queue()
app = QtWidgets.QApplication(sys.argv)
comboxDialog = ComBox()
comboxDialog.inputqueue = inputqueue
comboxDialog.outputqueue = outputqueue
comboxDialog.show()
webster = Websocky()
webster.outputqueue = outputqueue
webster.updatemaingui[str].connect(comboxDialog.updategui)
webster.start()
p2 = Process(target=start_websockets)
p2.start()
sys.exit(app.exec_())
The server:
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import asyncio
import time
import websockets
# here we'll store all active connections to use for sending periodic messages
connections = []
##asyncio.coroutine
async def connection_handler(connection, path):
connections.append(connection) # add connection to pool
while True:
msg = await connection.recv()
if msg is None: # connection lost
connections.remove(connection) # remove connection from pool, when client disconnects
break
else:
print('< {}'.format(msg))
##asyncio.coroutine
async def send_periodically():
while True:
await asyncio.sleep(2) # switch to other code and continue execution in 5 seconds
for connection in connections:
message = str(round(time.time()))
print('> Periodic event happened.')
await connection.send(message) # send message to each connected client
start_server = websockets.serve(connection_handler, 'localhost', 8765)
asyncio.get_event_loop().run_until_complete(start_server)
asyncio.ensure_future(send_periodically()) # before blocking call we schedule our coroutine for sending periodic messages
asyncio.get_event_loop().run_forever()

Shortly after posting this question I realized the problem. The line
message = inputqueue.get()
in the producer_handler function is blocking. This causes what should be an async function to hang everything in that process until it sees something in the queue. My workaround was to use the aioprocessing module which provides asyncio compatible queues. So, it looks more like this:
import aioprocessing
async def producer_handler(websocket):
while True:
message = await inputqueue.coro_get()
await websocket.send(message)
await asyncio.sleep(.1)
inputqueue = aioprocessing.AioQueue()
The aioprocessing module provides some nice options and documentation. And in this case is a rather simple solution for the issue. https://github.com/dano/aioprocessing
So, to answer my question: No, you don't have to use quamash for this kind of thing.

Related

Python: Callback on the worker-queue not working

Apologies for the long post. I am trying to subscribe to rabbitmq queue and then trying to create a worker-queue to execute tasks. This is required since the incoming on the rabbitmq would be high and the processing task on the item from the queue would take 10-15 minutes to execute each time. Hence necessitating the need for a worker-queue. Now I am trying to initiate only 4 items in the worker-queue, and register a callback method for processing the items in the queue. The expectation is that my code handles the part when all the 4 instances in the worker-queue are busy, the new incoming would be blocked until a free slot is available.
The rabbitmq piece is working well. The problem is I cannot figure out why the items from my worker-queue are not executing the task, i.e the callback is not working. In fact, the item from the worker queue gets executed only once when the program execution starts. For the rest of the time, tasks keep getting added to the worker-queue without being consumed. Would appreciate it if somebody could help out with the understanding on this one.
I am attaching the code for rabbitmqConsumer, driver, and slaveConsumer. Some information has been redacted in the code for privacy issues.
# This is the driver
#!/usr/bin/env python
import time
from rabbitmqConsumer import BasicMessageReceiver
basic_receiver_object = BasicMessageReceiver()
basic_receiver_object.declare_queue()
while True:
basic_receiver_object.consume_message()
time.sleep(2)
#This is the rabbitmqConsumer
#!/usr/bin/env python
import pika
import ssl
import json
from slaveConsumer import slave
class BasicMessageReceiver:
def __init__(self):
# SSL Context for TLS configuration of Amazon MQ for RabbitMQ
ssl_context = ssl.SSLContext(ssl.PROTOCOL_TLSv1_2)
url = <url for the queue>
parameters = pika.URLParameters(url)
parameters.ssl_options = pika.SSLOptions(context=ssl_context)
self.connection = pika.BlockingConnection(parameters)
self.channel = self.connection.channel()
# worker-queue object
self.slave_object = slave()
self.slave_object.start_task()
def declare_queue(self, queue_name=“abc”):
print(f"Trying to declare queue inside consumer({queue_name})...")
self.channel.queue_declare(queue=queue_name, durable=True)
def close(self):
print("Closing Receiver")
self.channel.close()
self.connection.close()
def _consume_message_setup(self, queue_name):
def message_consume(ch, method, properties, body):
print(f"I am inside the message_consume")
message = json.loads(body)
self.slave_object.execute_task(message)
ch.basic_ack(delivery_tag=method.delivery_tag)
self.channel.basic_qos(prefetch_count=1)
self.channel.basic_consume(on_message_callback=message_consume,
queue=queue_name)
def consume_message(self, queue_name=“abc”):
print("I am starting the rabbitmq start_consuming")
self._consume_message_setup(queue_name)
self.channel.start_consuming()
#This is the slaveConsumer
#!/usr/bin/env python
import pika
import ssl
import json
import requests
import threading
import queue
import os
class slave:
def __init__(self):
self.job_queue = queue.Queue(maxsize=3)
self.job_item = ""
def start_task(self):
def _worker():
while True:
json_body = self.job_queue.get()
self._parse_object_from_queue(json_body)
self.job_queue.task_done()
threading.Thread(target=_worker, daemon=True).start()
def execute_task(self, obj):
print("Inside execute_task")
self.job_item = obj
self.job_queue.put(self.job_item)
# print(self.job_queue.queue)
def _parse_object_from_queue(self, json_body):
if bool(json_body[‘entity’]):
if json_body['entity'] == 'Hello':
print("Inside Slave: Hello")
elif json_body['entity'] == 'World':
print("Inside Slave: World")
self.job_queue.join()

Wait for message using python's async protocol

Into:
I am working in a TCP server that receives events over TCP. For this task, I decided to use asyncio Protocol libraries (yeah, maybe I should have used Streams), the reception of events works fine.
Problem:
I need to be able to connect to the clients, so I create another "server" used to look up all my connected clients, and after finding the correct one, I use the Protocol class transport object to send a message and try to grab the response by reading a buffer variable that always has the last received message.
My problem is, after sending the message, I don't know how to wait for the response, so I always get the previous message from the buffer.
I will try to simplify the code to illustrate (please, keep in mind that this is an example, not my real code):
import asyncio
import time
CONN = set()
class ServerProtocol(asyncio.Protocol):
def connection_made(self, transport):
self.transport = transport
CONN.add(self)
def data_received(self, data):
self.buffer = data
# DO OTHER STUFF
print(data)
def connection_lost(self, exc=None):
CONN.remove(self)
class ConsoleProtocol(asyncio.Protocol):
def connection_made(self, transport):
self.transport = transport
# Get first value just to ilustrate
self.client = next(iter(CONN))
def data_received(self, data):
# Forward the message to the client
self.client.transport.write(data)
# wait a fraction of a second
time.sleep(0.2)
# foward the response of the client
self.transport.write(self.client.buffer)
def main():
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
loop.run_until_complete(
loop.create_server(protocol_factory=ServerProtocol,
host='0.0.0.0',
port=6789))
loop.run_until_complete(
loop.create_server(protocol_factory=ConsoleProtocol,
host='0.0.0.0',
port=9876))
try:
loop.run_forever()
except Exception as e:
print(e)
finally:
loop.close()
if __name__ == '__main__':
main()
This is not only my first experience writing a TCP server, but is also my first experience working with parallelism. So it took me days to realize that my sleep not only would not work, but I was locking the server while it "sleeps".
Any help is welcome.
time.sleep(0.2) is blocking, should not used in async programming, which will block the whole execution, if your program runing with 100 clients, the last client will be delayed for 0.2*99 seconds, which is not what you want.
the right way is trying to let program wait 0.2s but not blocking, then other concurrent clients would not be delayed,we can use thread.
import asyncio
import time
import threading
CONN = set()
class ServerProtocol(asyncio.Protocol):
def dealy_thread(self):
time.sleep(0.2)
def connection_made(self, transport):
self.transport = transport
CONN.add(self)
def data_received(self, data):
self.buffer = data
# DO OTHER STUFF
print(data)
def connection_lost(self, exc=None):
CONN.remove(self)
class ConsoleProtocol(asyncio.Protocol):
def connection_made(self, transport):
self.transport = transport
# Get first value just to ilustrate
self.client = next(iter(CONN))
def data_received(self, data):
# Forward the message to the client
self.client.transport.write(data)
# wait a fraction of a second
thread = threading.Thread(target=self.delay_thread, args=())
thread.daemon = True
thread.start()
# foward the response of the client
self.transport.write(self.client.buffer)

Trying to get data using Websocket & run some parallel code on the value returned using Asyncio

I am just getting started with asyncio in python. What I am trying to do is below :
A Websocket connects to a data provider and keeps listening for new data (Run forever )
Parallelly work on this data and maybe save the data to a file. Make buy /sell decisions(Any parellel operation is okay)
Trying to use asyncio to achieve this (Will threads be better? Although threads seem more complicated that asyncio )
I am Using jupyter notebook( So Event loop is already created, maybe that's the problem ?)
Code 1 works , but this blocks my event loop and only keeps printing the data. All other code is blocked. Since its always busy in the web socket I guess.
import ssl
import websocket
import json
from IPython.display import display, clear_output
from threading import Thread
def on_message(ws, message):
resp1 = json.loads(message)
clear_output(wait=True)
print(resp1['events'][0]['price'])
def run():
ws = websocket.WebSocketApp("wss://api.gemini.com/v1/marketdata/BTCUSD",on_message=on_message)
ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE})
ws_run = Thread(target=run)
ws_run.start()
print("ok") # this prints once, but then it gets blocked by the websocket code.
I tried code 2 :
But this hangs forever and doesn't do anything.
import asyncio
import ssl
import websocket
import json
from IPython.display import display, clear_output
async def on_message(ws, message):
resp1 = json.loads(message)
clear_output(wait=True)
#print(resp1,sort_keys=True, indent=4)
#print(resp1['events'][0]['side'])
print(resp1['events'][0]['price'])
async def count2(x):
x=0
for i in range(5):
await asyncio.sleep(0.01)
print('second' , x)
y=x+10
return y
async def main():
await asyncio.gather(count(x), on_message(ws, message))
if __name__ == "__main__":
import time
ws = websocket.WebSocketApp("wss://api.gemini.com/v1/marketdata/BTCUSD",on_message=on_message)
asyncio.get_event_loop().run_forever(ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE}))
s = time.perf_counter()
await main()
elapsed = time.perf_counter() - s
print(f" executed in {elapsed:0.2f} seconds.")
Tried this variant in main(), still no response. :
if __name__ == "__main__":
import time
ws = websocket.WebSocketApp("wss://api.gemini.com/v1/marketdata/BTCUSD",on_message=on_message)
ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE})
s = time.perf_counter()
await main()
elapsed = time.perf_counter() - s
print(f" executed in {elapsed:0.2f} seconds.")
Update: I got this to work ,but I dont know if this is the right way, without using run_forever():
import ssl
import websocket
import asyncio
import time
async def MySock():
while True:
print(ws.recv())
await asyncio.sleep(0.5)
async def MyPrint():
while True:
print("-------------------------------------------")
await asyncio.sleep(0.5)
async def main():
await asyncio.gather(MySock(),MyPrint())
if __name__ == "__main__":
ws = websocket.WebSocket()
ws.connect("wss://api.gemini.com/v1/marketdata/btcusd?top_of_book=true&offers=true")
s = time.perf_counter()
await main()
elapsed = time.perf_counter() - s
print(f" executed in {elapsed:0.2f} seconds.")

How to execute a ZeroMQ PUSH/PULL archetype in an asynchronous way?

I want to initiate a PULL in a port and want to receive from other ports to my PULL port. In the case of a PULL port, it listens asynchronously and when it receives a message, it just prints the message in the console. So for that I have written a method inside a Push-class, which will send the message to the PULL port.
My code is as follows :
import random
import zmq
import time
import sys
import string
import asyncio
import zmq.asyncio
class Push():
def __init__(self, port, addr='localhost'):
self.port = port
self.addr = addr
self.ctx = zmq.Context()
self.scoket = self.ctx.socket(zmq.PUSH)
self.scoket.connect(f'tcp://{self.addr}:{selfa.port}')
def send(self):
chars = string.ascii_uppercase + string.ascii_lowercase
message = ''.join(random.choice(chars) for _ in range(4))
self.scoket.send(bytes(message, 'utf-8'))
print(f'sending: {message}')
class Pull():
def __init__(self, port, addr='*'):
self.port = port
self.addr = addr
self.ctx = zmq.Context()
self.socket = self.ctx.socket(zmq.PULL)
self.socket.bind(f'tcp://{self.addr}:{self.port}')
async def listen(self, listener):
while True:
string = await self.socket.recv()
listener(string)
if __name__ == '__main__':
push = Push('55501')
async def send():
while True:
await asyncio.sleep(5)
print('Sending...')
push.send()
pull = Pull('55501')
try:
asyncio.run(
pull.listen(print),
send(),
)
except KeyboardInterrupt:
print('exiting...')
exit()
The above code is not running. The code stops at the listen method.
#ADAPTED FROM PYMATA EXPRESS EXAMPLE CONCURRENTTAKS
#https://github.com/MrYsLab/pymata-express/
import asyncio
import zmq
import json
import zmq.asyncio as zmq_asyncio
from pymata_express.pymata_express import PymataExpress
class ConcurrentTasks:
def __init__(self, board):
self.loop = board.get_event_loop()
self.board = board
self.ctxsync = zmq.Context()
self.context = zmq.asyncio.Context()
self.rep = self.context.socket(zmq.REP)
self.rep.bind("tcp://*:5558")
self.trigger_pin = 53
self.echo_pin = 51
loop.run_until_complete(self.async_init_and_run())
### START: NEW CODE THAT RESOLVED THE ISSUE
async def pingsonar(self):
value = await self.board.sonar_read(self.trigger_pin)
return value
async def readsonar(self):
while True:
rep_recv = await self.rep.recv()
value = await asyncio.wait([self.pingsonar()])
valuesonar = list(value[0])[0].result()
json_data = json.dumps(valuesonar)
await self.rep.send(json_data.encode())
await asyncio.sleep(1 / 1000) #maybe this line isn't necessary
### END : NEW CODE THAT RESOLVED THE ISSUE
async def async_init_and_run(self):
await self.board.set_pin_mode_sonar(self.trigger_pin, self.echo_pin)
readsonar = asyncio.create_task(self.readsonar())
await readsonar
# OTHER CREATED_TASK GO HERE, (removed them in the MVE, but they work fine)
if __name__ == "__main__":
loop = asyncio.get_event_loop()
my_board = PymataExpress()
try:
ConcurrentTasks(my_board)
except (KeyboardInterrupt, RuntimeError):
loop.run_until_complete(my_board.shutdown())
print('goodbye')
finally:
loop.close()
The above code is not running.
The code is running,yet there are mistakes ( in concept ) and typos in the source code.
The code as-is inhibits the Push-class from ever become .connect()-ed, thus the Pull-counterparty .bind()-s, yet has nobody to talk to.
SOLUTION
1 )Repair this typo ( + better, explicitly detect and handle all potential error-states )
self.scoket.connect(f'tcp://{self.addr}:{selfa.port}') # this will NEVER FLY
#--------------------------------------------^
self.scoket.connect(f'tcp://{self.addr}:{self.port}') # this will ... ( + detect Error-state(s)
2 )Correct the concept - mixing low-hanging fruits ( several asynchronous frameworks used at once, one working against all the others ) is a sign of shallow understanding of the responsibility of professional engineering in reliable and robust-enough distributed-computing ( flaws in the concept of control, like during landing Apollo-11 on Moon or, on the contrary, the Chernobyl-kind of mis-management system + mentality, are clean, inspiring and warning enough examples how bad practices ( if not prohibited + detected + corrected + penalised ) can & will harm again and again and again ).
The Best Next Step
If you are keen to get to the professional-level, start with Pieter Hintjens' book "Code Connected, Volume 1" - worth time, worth efforts, worth understanding their discussed concepts.

Python asyncio - Loop exits with Task was destroyed but it is pending

This is the relevant code of my python program:
import discord
import asyncio
class Bot(discord.Client):
def __init__(self):
super().__init__()
#asyncio.coroutine
def my_background_task(self):
yield from self.wait_until_ready()
while not self.is_closed:
yield from asyncio.sleep(3600*24) # <- This is line 76 where it fails
doSomething()
bot = Bot()
loop = asyncio.get_event_loop()
try:
loop.create_task(bot.my_background_task())
loop.run_until_complete(bot.login('username', 'password'))
loop.run_until_complete(bot.connect())
except Exception:
loop.run_until_complete(bot.close())
finally:
loop.close()
The program occasionally quits (on its own, while it should not) with no other errors or warning other than
Task was destroyed but it is pending!
task: <Task pending coro=<my_background_task() running at bin/discordBot.py:76> wait_for=<Future pending cb=[Task._wakeup()]>>
How to ensure the program won't randomly quit? I have Python 3.4.3+ on Xubuntu 15.10.
This is because the discord client module needs control once every minute or so.
This means that any function that steals control for more than a certain time causes discord's client to enter an invalid state (which will manifest itself as an exception some point later, perhaps upon next method call of client).
To ensure that the discord module client can ping the discord server, you should use a true multi-threading solution.
One solution is to offload all heavy processing onto a separate process (a separate thread will not do, because Python has a global interpreter lock) and use the discord bot as a thin layer whose responsibility is to populate work queues.
Related reading:
https://discordpy.readthedocs.io/en/latest/faq.html#what-does-blocking-mean
Example solution... this is WAY beyond the scope of the problem, but I already had the code mostly written. If I had more time, I would write a shorter solution :)
2 parts, discord interaction and processing server:
This is the discord listener.
import discord
import re
import asyncio
import traceback
import websockets
import json
# Call a function on other server
async def call(methodName, *args, **kwargs):
async with websockets.connect('ws://localhost:9001/meow') as websocket:
payload = json.dumps( {"method":methodName, "args":args, "kwargs": kwargs})
await websocket.send(payload)
#...
resp = await websocket.recv()
#...
return resp
client = discord.Client()
tok = open("token.dat").read()
#client.event
async def on_ready():
print('Logged in as')
print(client.user.name)
print(client.user.id)
print('------')
#client.event
async def on_error(event, *args, **kwargs):
print("Error?")
#client.event
async def on_message(message):
try:
if message.author.id == client.user.id:
return
m = re.match("(\w+) for (\d+).*?", message.content)
if m:
g = m.groups(1)
methodName = g[0]
someNumber = int(g[1])
response = await call(methodName, someNumber)
if response:
await client.send_message(message.channel, response[0:2000])
except Exception as e:
print (e)
print (traceback.format_exc())
client.run(tok)
This is the worker server for processing heavy requests. You can make this part sync or async.
I chose to use some magic called a websocket to send data from one python process to another one. But you can use anything you want. You could make one script write files into a dir, and the other script could read the files out and process them, for example.
import tornado
import tornado.websocket
import tornado.httpserver
import json
import asyncio
import inspect
import time
class Handler:
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def consume(self, text):
return "You said {0} and I say hiya".format(text)
async def sweeps(self, len):
await asyncio.sleep(len)
return "Slept for {0} seconds asynchronously!".format(len)
def sleeps(self, len):
time.sleep(len)
return "Slept for {0} seconds synchronously!".format(len)
class MyService(Handler, tornado.websocket.WebSocketHandler):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def stop(self):
Handler.server.stop()
def open(self):
print("WebSocket opened")
def on_message(self, message):
print (message)
j = json.loads(message)
methodName = j["method"]
args = j.get("args", ())
method = getattr(self, methodName)
if inspect.iscoroutinefunction(method):
loop = asyncio.get_event_loop()
task = loop.create_task(method(*args))
task.add_done_callback( lambda res: self.write_message(res.result()))
future = asyncio.ensure_future(task)
elif method:
resp = method(*args)
self.write_message(resp)
def on_close(self):
print("WebSocket closed")
application = tornado.web.Application([
(r'/meow', MyService),
])
if __name__ == "__main__":
from tornado.platform.asyncio import AsyncIOMainLoop
AsyncIOMainLoop().install()
http_server = tornado.httpserver.HTTPServer(application)
Handler.server = http_server
http_server.listen(9001)
asyncio.get_event_loop().run_forever()
Now, if you run both processes in separate python scripts, and tell your bot "sleep for 100", it will sleep for 100 seconds happily!
The asyncio stuff functions as a make-shift work queue, and you can properly separate the listener from the backend processing by running them as separate python scripts.
Now, no matter how long your functions run in the 'server' part, the client part will never be prevented from pinging the discord server.
Image failed to upload, but... anyway, this is how to tell the bot to sleep and reply... note that the sleep is synchronous.
http://i.imgur.com/N4ZPPbB.png
I don't think problem happens while asyncio.sleep. Anyway you shouldn't suppress exception you got:
bot = Bot()
loop = asyncio.get_event_loop()
try:
# ...
except Exception as e:
loop.run_until_complete(bot.close())
raise e # <--- reraise exception you got while execution to see it (or log it here)
finally:
# ...
You have to manually stop your task on exit:
import discord
import asyncio
class Bot(discord.Client):
def __init__(self):
super().__init__()
#asyncio.coroutine
def my_background_task(self):
yield from self.wait_until_ready()
while not self.is_closed:
yield from asyncio.sleep(3600*24) # <- This is line 76 where it fails
doSomething()
bot = Bot()
loop = asyncio.get_event_loop()
try:
task = loop.create_task(bot.my_background_task())
loop.run_until_complete(bot.login('username', 'password'))
loop.run_until_complete(bot.connect())
except Exception:
loop.run_until_complete(bot.close())
finally:
task.cancel()
try:
loop.run_until_complete(task)
except Exception:
pass
loop.close()

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