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Python log handler that posts to a Slack channel. Posts to the Slack API using https://github.com/os/slacker.
For a different implementation using webhooks instead of Slacker, see https://github.com/claudetech/python-slack-log or read http://www.pythian.com/blog/logging-for-slackers/
Created with the intention of using for a Django project, but some effort has been made to make it generic enough that any Python project could use it.
.. code-block:: bash
pip install slacker-log-handler
api_key (required)
Generate a key at https://api.slack.com/
channel (required)
Set which channel you want to post to, e.g. "#general".
username
The username that will post to Slack. Defaults to "Python logger".
icon_url
URL to an image to use as the icon for the logger user
icon_emoji
emoji to use as the icon. Overrides icon_url. If neither icon_url nor
icon_emoji is set, :heavy_exclamation_mark: will be used.
fail_silent
Defaults to False. If your API key is invalid or for some other reason the API call returns an error, this option will silently ignore the API error. If you enable this setting, make sure you have another log handler that will also handle the same log events, or they may be lost entirely.
Logging reference: https://docs.djangoproject.com/en/stable/topics/logging/
This example will send INFO and ERRORS to Slack, as well as errors to admin emails.
SLACK_API_KEY
in your settings module... code-block:: python
LOGGING = {
'version': 1,
'disable_existing_loggers': False,
'filters': {
'require_debug_false': {
'()': 'django.utils.log.RequireDebugFalse'
}
},
'handlers': {
'mail_admins': {
'level': 'ERROR',
'filters': ['require_debug_false'],
'class': 'django.utils.log.AdminEmailHandler'
},
'slack-error': {
'level': 'ERROR',
'api_key': SLACK_API_KEY,
'class': 'slacker_log_handler.SlackerLogHandler',
'channel': '#general'
},
'slack-info': {
'level': 'INFO',
'api_key': SLACK_API_KEY,
'class': 'slacker_log_handler.SlackerLogHandler',
'channel': '#general'
},
'loggers': {
'django.request': {
'handlers': ['mail_admins', 'slack-error', 'slack-info'],
'level': 'ERROR',
'propagate': True,
},
}
}
}
This is how you use slacker_log_handler
as a regular Python logging handler.
This example will send a error message to a slack channel.
.. code-block:: python
import logging
from slacker_log_handler import SlackerLogHandler, NoStacktraceFormatter
# Create slack handler
slack_handler = SlackerLogHandler('my-channel-token', 'my-channel-name', stack_trace=True)
# Create logger
logger = logging.getLogger('debug_application')
logger.addHandler(slack_handler)
# OPTIONAL: Define a log message formatter.
# If you have set stack_trace=True, any exception stack traces will be included as Slack message attachments.
# You therefore need to use NoStacktraceFormatter as a base to exclude the trace from the main message text.
formatter = NoStacktraceFormatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
slack_handler.setFormatter(formatter)
# Define the minimum level of log messages you want to send to Slack
slack_handler.setLevel(logging.DEBUG)
# Test logging
logger.error("Debug message from slack!")
This example use a subclass that will send a formatted message to a slack channel. Reference: https://api.slack.com/docs/message-formatting
.. code-block:: python
class CustomLogHandler(SlackerLogHandler): def build_msg(self, record): message = "> New message :\n" + record.getMessage() return message
Apache 2.0
Slacker is also under Apache 2.0.
See also: https://api.slack.com/terms-of-service
FAQs
Posts log events to Slack via API
We found that slacker-log-handler demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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