mirror of
https://github.com/huggingface/knockknock.git
synced 2021-08-28 00:30:42 +03:00
107 lines
4.1 KiB
Python
107 lines
4.1 KiB
Python
import datetime
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import functools
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import os
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import socket
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import traceback
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from typing import List
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import requests
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DATE_FORMAT = "%Y-%m-%d %H:%M:%S"
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def chime_sender(webhook_url: str, user_mentions: List[str] = []):
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"""
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Chime sender wrapper: execute func, send a chime notification with the end status
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(successfully finished or crashed) at the end. Also send a Chime notification before
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executing func.
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`webhook_url`: str
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The webhook URL to access your chime room.
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Visit https://docs.aws.amazon.com/chime/latest/dg/webhooks.html for more details.
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`user_mentions`: List[str] (default=[])
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Optional users alias or full email address to notify.
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"""
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dump = {}
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def decorator_sender(func):
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@functools.wraps(func)
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def wrapper_sender(*args, **kwargs):
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start_time = datetime.datetime.now()
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host_name = socket.gethostname()
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func_name = func.__name__
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# Handling distributed training edge case.
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# In PyTorch, the launch of `torch.distributed.launch` sets up a RANK environment variable for each process.
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# This can be used to detect the master process.
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# See https://github.com/pytorch/pytorch/blob/master/torch/distributed/launch.py#L211
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# Except for errors, only the master process will send notifications.
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if 'RANK' in os.environ:
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master_process = (int(os.environ['RANK']) == 0)
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host_name += ' - RANK: %s' % os.environ['RANK']
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else:
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master_process = True
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if master_process:
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contents = [
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'Your training has started 🎬',
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'Machine name: %s' % host_name,
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'Main call: %s' % func_name,
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'Starting date: %s' % start_time.strftime(DATE_FORMAT),
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' '.join(user_mentions)
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]
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dump['Content'] = '\n'.join(contents)
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requests.post(url=webhook_url, json=dump)
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try:
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value = func(*args, **kwargs)
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if master_process:
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end_time = datetime.datetime.now()
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elapsed_time = end_time - start_time
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contents = [
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"Your training is complete 🎉",
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'Machine name: %s' % host_name,
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'Main call: %s' % func_name,
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'Starting date: %s' % start_time.strftime(DATE_FORMAT),
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'End date: %s' % end_time.strftime(DATE_FORMAT),
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'Training duration: %s' % str(elapsed_time)
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]
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try:
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str_value = str(value)
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contents.append('Main call returned value: %s' % str_value)
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except:
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contents.append('Main call returned value: %s' %
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"ERROR - Couldn't str the returned value.")
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contents.append(' '.join(user_mentions))
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dump['Content'] = '\n'.join(contents)
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requests.post(url=webhook_url, json=dump)
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return value
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except Exception as ex:
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end_time = datetime.datetime.now()
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elapsed_time = end_time - start_time
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contents = [
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"Your training has crashed ☠️",
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'Machine name: %s' % host_name,
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'Main call: %s' % func_name,
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'Starting date: %s' % start_time.strftime(DATE_FORMAT),
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'Crash date: %s' % end_time.strftime(DATE_FORMAT),
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'Crashed training duration: %s\n\n' % str(elapsed_time),
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"Here's the error:", '%s\n\n' % ex,
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"Traceback:", '%s' % traceback.format_exc(),
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' '.join(user_mentions)
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]
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dump['Content'] = '\n'.join(contents)
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requests.post(url=webhook_url, json=dump)
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raise ex
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return wrapper_sender
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return decorator_sender
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