django-helpdesk/lib.py

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"""
Jutda Helpdesk - A Django powered ticket tracker for small enterprise.
(c) Copyright 2008 Jutda. All Rights Reserved. See LICENSE for details.
lib.py - Common functions (eg multipart e-mail)
"""
chart_colours = ('80C65A', '990066', 'FF9900', '3399CC', 'BBCCED', '3399CC', 'FFCC33')
def send_templated_mail(template_name, email_context, recipients, sender=None, bcc=None, fail_silently=False, files=None):
"""
send_templated_mail() is a warpper around Django's e-mail routines that
allows us to easily send multipart (text/plain & text/html) e-mails using
templates that are stored in the database. This lets the admin provide
both a text and a HTML template for each message.
template_name is the slug of the template to use for this message (see
models.EmailTemplate)
email_context is a dictionary to be used when rendering the template
recipients can be either a string, eg 'a@b.com', or a list of strings.
sender should contain a string, eg 'My Site <me@z.com>'. If you leave it
blank, it'll use settings.DEFAULT_FROM_EMAIL as a fallback.
bcc is an optional list of addresses that will receive this message as a
blind carbon copy.
fail_silently is passed to Django's mail routine. Set to 'True' to ignore
any errors at send time.
files can be a list of file paths to be attached, or it can be left blank.
eg ('/tmp/file1.txt', '/tmp/image.png')
"""
from django.conf import settings
from django.core.mail import EmailMultiAlternatives
from django.template import loader, Context
from helpdesk.models import EmailTemplate
t = EmailTemplate.objects.get(template_name__iexact=template_name)
if not sender:
sender = settings.DEFAULT_FROM_EMAIL
context = Context(email_context)
text_part = loader.get_template_from_string(
"%s{%% include 'helpdesk/email_text_footer.txt' %%}" % t.plain_text
).render(context)
html_part = loader.get_template_from_string(
"{%% extends 'helpdesk/email_html_base.html' %%}{%% block title %%}%s{%% endblock %%}{%% block content %%}%s{%% endblock %%}" % (t.heading, t.html)
).render(context)
subject_part = loader.get_template_from_string(
"{{ ticket.ticket }} {{ ticket.title }} %s" % t.subject
).render(context)
if type(recipients) != list:
recipients = [recipients,]
msg = EmailMultiAlternatives( subject_part,
text_part,
sender,
recipients,
bcc=bcc)
msg.attach_alternative(html_part, "text/html")
if files:
if type(files) != list:
files = [files,]
for file in files:
msg.attach_file(file)
return msg.send(fail_silently)
def send_multipart_mail(template_name, email_context, subject, recipients, sender=None, bcc=None, fail_silently=False, files=None):
"""
This function will send a multi-part e-mail with both HTML and
Text parts. Note we don't use this any more; wsee send_templated_mail
instead.
template_name must NOT contain an extension. Both HTML (.html) and TEXT
(.txt) versions must exist, eg 'emails/public_submit' will use both
public_submit.html and public_submit.txt.
email_context should be a plain python dictionary. It is applied against
both the email messages (templates) & the subject.
subject can be plain text or a Django template string, eg:
New Job: {{ job.id }} {{ job.title }}
recipients can be either a string, eg 'a@b.com' or a list, eg:
['a@b.com', 'c@d.com']. Type conversion is done if needed.
sender can be an e-mail, 'Name <email>' or None. If unspecified, the
DEFAULT_FROM_EMAIL will be used.
Originally posted on my blog at http://www.rossp.org/
"""
from django.core.mail import EmailMultiAlternatives
from django.template import loader, Context
from django.conf import settings
if not sender:
sender = settings.DEFAULT_FROM_EMAIL
context = Context(email_context)
text_part = loader.get_template('%s.txt' % template_name).render(context)
html_part = loader.get_template('%s.html' % template_name).render(context)
subject_part = loader.get_template_from_string(subject).render(context)
if type(recipients) != list:
recipients = [recipients,]
msg = EmailMultiAlternatives(subject_part, text_part, sender, recipients, bcc=bcc)
msg.attach_alternative(html_part, "text/html")
if files:
if type(files) != list:
files = [files,]
for file in files:
msg.attach_file(file)
return msg.send(fail_silently)
def normalise_data(data, to=100):
"""
Used for normalising data prior to graphing with Google charting API. EG:
[1, 4, 10] becomes [10, 40, 100]
[36, 54, 240] becomes [15, 23, 100]
"""
max_value = max(data)
if max_value > to:
new_data = []
for d in data:
new_data.append(int(d/float(max_value)*to))
data = new_data
return data
def line_chart(data):
"""
'data' is a list of lists making a table.
Row 1, columns 2-n are data headings (the time periods)
Rows 2-n are data, with column 1 being the line labels
"""
column_headings = data[0][1:]
max = 0
for row in data[1:]:
for field in row[1:]:
if field > max:
max = field
# Set width to '65px * number of months'.
chart_url = 'http://chart.apis.google.com/chart?cht=lc&chs=%sx90&chd=t:' % (len(column_headings)*65)
first_row = True
row_headings = []
for row in data[1:]:
# Add data to URL, normalised to the maximum for all lines on this chart
norm = normalise_data(row[1:], max)
if not first_row:
chart_url += '|'
chart_url += ','.join([str(num) for num in norm])
row_headings.append(row[0])
first_row = False
chart_url += '&chds='
rows = len(data)-1
first = True
for row in range(rows):
# Set maximum data ranges to '0:x' where 'x' is the maximum number in use.
if not first:
chart_url += ','
chart_url += '0,%s' % max
first = False
chart_url += '&chdl=%s' % '|'.join(row_headings) # Display legend/labels
chart_url += '&chco=%s' % ','.join(chart_colours) # Default colour set
chart_url += '&chxt=x,y' # Turn on axis labels
chart_url += '&chxl=0:|%s|1:|0|%s' % ('|'.join(column_headings), max) # Axis Label Text
return chart_url
def bar_chart(data):
"""
'data' is a list of lists making a table.
Row 1, columns 2-n are data headings
Rows 2-n are data, with column 1 being the line labels
"""
column_headings = data[0][1:]
max = 0
for row in data[1:]:
for field in row[1:]:
if field > max:
max = field
# Set width to '150px * number of months'.
chart_url = 'http://chart.apis.google.com/chart?cht=bvg&chs=%sx90&chd=t:' % (len(column_headings) * 150)
first_row = True
row_headings = []
for row in data[1:]:
# Add data to URL, normalised to the maximum for all lines on this chart
norm = normalise_data(row[1:], max)
if not first_row:
chart_url += '|'
chart_url += ','.join([str(num) for num in norm])
row_headings.append(row[0])
first_row = False
chart_url += '&chds=0,%s' % max
chart_url += '&chdl=%s' % '|'.join(row_headings) # Display legend/labels
chart_url += '&chco=%s' % ','.join(chart_colours) # Default colour set
chart_url += '&chxt=x,y' # Turn on axis labels
chart_url += '&chxl=0:|%s|1:|0|%s' % ('|'.join(column_headings), max) # Axis Label Text
return chart_url
def query_to_dict(results, descriptions):
"""
Replacement method for cursor.dictfetchall() as that method no longer
exists in psycopg2, and I'm guessing in other backends too.
Converts the results of a raw SQL query into a list of dictionaries, suitable
for use in templates etc.
"""
output = []
for data in results:
row = {}
i = 0
for column in descriptions:
row[column[0]] = data[i]
i += 1
output.append(row)
return output