This repo contains a jupyter nbconvert exporter to convert notebooks to multipart MIME, and a postprocessor to
send it via smtp.
pip install nb2mail
nb2mail does not do anything by itself. It provides an export format
("mail") and postprocessor ("SendMailPostProcessor"). Please see the nbconvert
documentation and example configuration for more information.
To generate a mail and send it later with another process (eg sendmail):
jupyter nbconvert --execute --to mail notebook.ipynb
To convert and send a mail via gmail, you can set the environment
variables and declare a postprocessor with --post:
export [email protected] GMAIL_USER=user GMAIL_PASS="*****"
jupyter nbconvert --to mail --post=nb2mail.SendMailPostProcessor notebook.ipynb
Alternatively, you can configure the SMTP settings in a config file config.py:
c = get_config()
c.NbConvertApp.export_format = 'mail'
c.Exporter.preprocessors = 'nbconvert.preprocessors.ExecutePreprocessor'
c.NbConvertApp.postprocessor_class = 'nb2mail.SendMailPostProcessor'
c.SendMailPostProcessor.recipient = '[email protected]'
c.SendMailPostProcessor.smtp_user = 'user'
c.SendMailPostProcessor.smtp_pass = '*******'
c.SendMailPostProcessor.smtp_addr = 'smtp.gmail.com'
c.SendMailPostProcessor.smtp_port = 587
and then run:
jupyter nbconvert --config config.py demo.ipynb
Instead of using SMTP to send emails, one can use 3rd party provider.
This is an example for using mailgun as a 3rd party provider
In the notebook metadata, you can set mail headers by adding a nb2mail block:
"nb2mail": {
"attachments": [
"business_report_attachment.xlsx"
],
"From": "[email protected]",
"To": "[email protected], [email protected]",
"Subject": "Business Report"
}
You can specify multiple recipients by seperating them with commas.
Since CSS doesn't render the same in email, you may want to disable the pilcrows after each section.
c.MailExporter.anchor_link_text = '' # disable pilcrow, requires nbconvert >= 5.2
-
Prerender Math - no js in email
-
Prettier templates
-
Plotly - here is a workaround:
# py.iplot(fig, filename=‘dcm_ctr_subplots’) # The above line is what you normally use to show your plots in the notebook # You no longer need that and just need the stuff below from IPython.display import Image py.image.save_as(fig, filename='yahoo_dcm_ctr_subplots.png') Image('yahoo_dcm_ctr_subplots.png')