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django-emaillog-backend
Advanced tools
Django email backend that writes messages to logger instead of sending them by SMTP.
Simple email backend for Django that writes messages to logger instead of sending them to a SMTP server.
Installation is easy using pip
pip install django-emaillog-backend
To ensure that all emails sent using the send_mail function of Django are sent to a log you must add the following line to your settings.py
file:
EMAIL_BACKEND = 'django_emaillog_backend.backends.LoggerBackend'
You can specify the logger to which the logs will be sent adding it to the settings.py
file
EMAIL_LOGGER_NAME = 'your_logger_name'
For example, you can create a custom logger to test the correct behaviour of sending mails as follow:
# Add a custom logger to test mails
LOGGING = {
'version': 1,
'disable_existing_loggers': False,
'formatters': {
...
},
'handlers': {
...
},
'loggers': {
...
'email_logger': {
'handlers': ['your_handler'],
'propagate': True,
'level': 'DEBUG',
},
}
}
# Configure the email backend
EMAIL_BACKEND = 'django_emaillog_backend.backends.LoggerBackend'
EMAIL_LOGGER_NAME = 'email_logger'
The default logger for django-emaillog-backend
is the global Django logger called 'django'.
It is also possible to choose the severity level of messages sent to the logger adding the following to your settings.py
file:
EMAIL_LOGGER_LEVEL = logger_level
EMAIL_LOGGER_LEVEL
expects an integer. We recommend using the severity levels of the logging module:
logging.DEBUG (10)
logging.INFO (20)
logging.WARNING (30)
logging.ERROR (40)
logging.CRITICAL (50)
For example:
import logging
EMAIL_LOGGER_LEVEL = logging.INFO
The default log level is INFO
.
FAQs
Django email backend that writes messages to logger instead of sending them by SMTP.
We found that django-emaillog-backend 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.
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Socket now supports Scala and Kotlin, bringing AI-powered threat detection to JVM projects with easy manifest generation and fast, accurate scans.
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