* Removed e-mail templates to the database

* Added statistics views, making use of Google Charts
* Added initial data fixture, to automatically create e-mail templates
  at install-time

lib.py

@@ -5,6 +5,39 @@ Jutda Helpdesk - A Django powered ticket tracker for small enterprise.
 
 lib.py - Common functions (eg multipart e-mail)
 """
+def send_templated_mail(template_name, email_context, recipients, sender=None, bcc=None, fail_silently=False, files=None):
+    from helpdesk.models import EmailTemplate
+    from django.core.mail import EmailMultiAlternatives
+    from django.template import loader, Context
+    from django.conf import settings
+
+    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):
     """
@@ -58,14 +91,96 @@ def send_multipart_mail(template_name, email_context, subject, recipients, sende
     return msg.send(fail_silently)
 
 
-def normalise_to_100(data):
+def normalise_data(data, to=100):
     """
     Used for normalising data prior to graphing with Google charting API
     """
     max_value = max(data)
-    if max_value > 100:
+    if max_value > to:
         new_data = []
         for d in data:
-            new_data.append(int(d/float(max_value)*100))
+            new_data.append(int(d/float(max_value)*to))
         data = new_data
     return data
+
+chart_colours = ('80C65A', '990066', 'FF9900', '3399CC', 'BBCCED', '3399CC', 'FFCC33')
+
+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