Add operatornotify.LogHandler, LogHandlerContext.
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1 changed files with 153 additions and 6 deletions
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@ -6,9 +6,10 @@ This module is designed to notify the program operator of important events.
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By default, it just logs at the WARNING level, but if you create your own
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By default, it just logs at the WARNING level, but if you create your own
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file my_operatornotify.py somewhere on your PYTHONPATH with a function
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file my_operatornotify.py somewhere on your PYTHONPATH with a function
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notify(subject, body=''), all calls to this module will go there.
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notify(subject, body=''), all calls to this module will go there.
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For example, you might define your own file that sends emails or texts.
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For example, you might define your own file that sends emails, texts, or MQTT.
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This allows the same calling code to behave differently on your dev / prod
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This allows the same calling code to behave differently on your dev / prod
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environments, or other use cases you can imagine.
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environments, or other use cases you can imagine.
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You can use different my_operatornotify files for different applications by
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You can use different my_operatornotify files for different applications by
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leveraging Python's sys.path order (cwd first, ...).
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leveraging Python's sys.path order (cwd first, ...).
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@ -25,6 +26,10 @@ This module should ONLY be called by application code, not library code.
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Ideally, the application should provide a flag --operatornotify for the user
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Ideally, the application should provide a flag --operatornotify for the user
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to opt-in to the use of operatornotify so that it does not surprise them.
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to opt-in to the use of operatornotify so that it does not surprise them.
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If your application already uses the logging module, consider adding an
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instance of operatornotify.LogHandler to your logger, or wrapping your whole
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main call in a LogHandlerContext.
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Commandline usage:
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Commandline usage:
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> operatornotify --subject XXX [--body XXX]
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> operatornotify --subject XXX [--body XXX]
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@ -41,7 +46,10 @@ Examples:
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> some_process | operatornotify --subject "Results of some_process" --body !i 2>&1
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> some_process | operatornotify --subject "Results of some_process" --body !i 2>&1
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'''
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'''
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import argparse
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import argparse
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import contextlib
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import io
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import sys
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import sys
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import traceback
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from voussoirkit import betterhelp
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from voussoirkit import betterhelp
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from voussoirkit import pipeable
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from voussoirkit import pipeable
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@ -49,15 +57,154 @@ from voussoirkit import vlogging
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log = vlogging.getLogger(__name__, 'operatornotify')
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log = vlogging.getLogger(__name__, 'operatornotify')
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####################################################################################################
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def default_notify(subject, body=''):
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if body:
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log.warning('%s: %s', subject, body)
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else:
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log.warning(subject)
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try:
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try:
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import my_operatornotify
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import my_operatornotify
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notify = my_operatornotify.notify
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notify = my_operatornotify.notify
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except ImportError:
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except ImportError:
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def notify(subject, body=''):
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notify = default_notify
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if body:
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log.warning('%s: %s', subject, body)
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####################################################################################################
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else:
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log.warning(subject)
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class LogHandler(vlogging.StreamHandler):
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'''
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This handler makes it easy to integrate operatornotify into your
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application that already uses the logging module.
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Create an instance of this class and add it to your logger. Use setLevel
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and other filtering tools to get messages of interest. You may choose to
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get notified for each log line individually, or buffer them and send them
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all together. When you are ready to send the buffered contents,
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call handler.notify().
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If no messages have been logged yet, handler.notify will do nothing.
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'''
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def __init__(self, subject, notify_every_line=False):
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'''
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subject:
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The subject string for all notify calls. The body will be the
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contents of logged messages.
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notify_every_line:
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If True, each log call will send a notification immediately.
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Otherwise, they are buffered until handler.notify is called.
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'''
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self.subject = subject
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self.log_buffer = io.StringIO()
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self.notify_every_line = notify_every_line
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super().__init__(stream=self.log_buffer)
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def __del__(self):
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# Remember that del is not guaranteed to execute, but this should help
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# out in cases where notify is never called.
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self.notify()
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def emit(self, record):
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super().emit(record)
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if self.notify_every_line:
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self.notify()
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def notify(self):
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'''
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Send all of the logged contents to notify, then reset the buffer.
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'''
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if self.log_buffer.getvalue():
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notify(subject=self.subject, body=self.log_buffer.getvalue())
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self.reset_buffer()
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def reset_buffer(self):
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self.log_buffer = io.StringIO()
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self.setStream(self.log_buffer)
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class LogHandlerContext:
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'''
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This context manager captures all log lines that occur during the context,
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and also records any fatal exception that kills the context, then sends all
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of this to notify. This saves you from having to call handler.notify
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yourself, because it will occur when the context ends.
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'''
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def __init__(self, log, handler, log_exception=True):
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'''
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log:
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Your logger from logging.getLogger
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handler:
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Your operatornotify.LogHandler
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log_exception:
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If the context is killed by an exception, include the traceback at
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the bottom of the notification.
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'''
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self.log = log
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self.handler = handler
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self.log_exception = log_exception
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def __enter__(self):
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self.log.addHandler(self.handler)
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return self
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def __exit__(self, exc_type, exc_value, exc_traceback):
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if self.log_exception and exc_type not in (None, KeyboardInterrupt):
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exc_text = traceback.format_exception(exc_type, exc_value, exc_traceback)
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exc_text = ''.join(exc_text)
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exc_text = f'\n\n{exc_text}\n'
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self.handler.log_buffer.write(exc_text)
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self.handler.notify()
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self.log.removeHandler(self.handler)
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def main_log_context(argv, subject, *args, **kwargs):
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'''
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This function is for accelerating the common use case of adding
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operatornotify to a commandline application's existing logger.
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The goals are:
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1. Opt into operatornotify by --operatornotify, or return a nullcontext.
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2. Set handler's level by --operatornotify-level X.
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3. Remove those args from argv so your argparse doesn't know the difference.
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4. Add handler to the root logger.
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5. Provide a context manager with which you'll wrap your main function.
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6. Operatornotify captures all log messages and any fatal exception
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that kills your main function.
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7. Results are sent at the end of runtime.
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Returns (context, argv) where argv can go into your argparse and context
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can wrap your main call.
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'''
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# This serves the purpose of normalizing the argument, but also creating a
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# duplicate list so we are not altering sys.argv.
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# Do not modiy this code without considering both effects.
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argv = ['--operatornotify-level' if arg == '--operatornotify_level' else arg for arg in argv]
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if '--operatornotify' in argv:
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argv.remove('--operatornotify')
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else:
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return (contextlib.nullcontext(), argv)
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if '--operatornotify-level' in argv:
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level = argv.pop(argv.index('--operatornotify-level') + 1)
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try:
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level = int(level)
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except ValueError:
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pass
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argv.remove('--operatornotify-level')
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else:
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level = vlogging.WARNING
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level = vlogging.get_level_by_name(level)
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log = vlogging.getLogger()
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handler = LogHandler(subject, *args, **kwargs)
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handler.setLevel(level)
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handler.setFormatter(vlogging.Formatter('{levelname}:{name}:{message}', style='{'))
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context = LogHandlerContext(log, handler, log_exception=True)
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return (context, argv)
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def operatornotify_argparse(args):
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def operatornotify_argparse(args):
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notify(
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notify(
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