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https://github.com/django-helpdesk/django-helpdesk.git
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72 lines
2.4 KiB
Python
72 lines
2.4 KiB
Python
""" ..
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Jutda Helpdesk - A Django powered ticket tracker for small enterprise.
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(c) Copyright 2008 Jutda. All Rights Reserved. See LICENSE for details.
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lib.py - Common functions (eg multipart e-mail)
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"""
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def send_multipart_mail(template_name, email_context, subject, recipients, sender=None, bcc=None, fail_silently=False, files=None):
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"""
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This function will send a multi-part e-mail with both HTML and
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Text parts.
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template_name must NOT contain an extension. Both HTML (.html) and TEXT
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(.txt) versions must exist, eg 'emails/public_submit' will use both
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public_submit.html and public_submit.txt.
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email_context should be a plain python dictionary. It is applied against
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both the email messages (templates) & the subject.
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subject can be plain text or a Django template string, eg:
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New Job: {{ job.id }} {{ job.title }}
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recipients can be either a string, eg 'a@b.com' or a list, eg:
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['a@b.com', 'c@d.com']. Type conversion is done if needed.
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sender can be an e-mail, 'Name <email>' or None. If unspecified, the
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DEFAULT_FROM_EMAIL will be used.
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Originally posted on my blog at http://www.rossp.org/
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"""
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from django.core.mail import EmailMultiAlternatives
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from django.template import loader, Context
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from django.conf import settings
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if not sender:
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sender = settings.DEFAULT_FROM_EMAIL
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context = Context(email_context)
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text_part = loader.get_template('%s.txt' % template_name).render(context)
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html_part = loader.get_template('%s.html' % template_name).render(context)
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subject_part = loader.get_template_from_string(subject).render(context)
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if type(recipients) != list:
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recipients = [recipients,]
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msg = EmailMultiAlternatives(subject_part, text_part, sender, recipients, bcc=bcc)
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msg.attach_alternative(html_part, "text/html")
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if files:
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if type(files) != list:
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files = [files,]
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for file in files:
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msg.attach_file(file)
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return msg.send(fail_silently)
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def normalise_to_100(data):
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"""
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Used for normalising data prior to graphing with Google charting API
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"""
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max_value = max(data)
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if max_value > 100:
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new_data = []
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for d in data:
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new_data.append(int(d/float(max_value)*100))
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data = new_data
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return data
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