django-helpdeskmig/helpdesk/lib.py
2019-01-02 20:08:55 -05:00

294 lines
9.1 KiB
Python

"""
django-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)
"""
import logging
import mimetypes
import os
from django.conf import settings
from django.db.models import Q
from django.utils.encoding import smart_text, smart_str
from django.utils.safestring import mark_safe
from helpdesk.models import Attachment, EmailTemplate
from model_utils import Choices
from base64 import b64encode
from base64 import b64decode
import json
logger = logging.getLogger('helpdesk')
def query_to_base64(query):
"""
Converts a query dict object to a base64-encoded bytes object.
"""
return b64encode(json.dumps(query).encode('UTF-8'))
def query_from_base64(b64data):
"""
Converts base64-encoded bytes object back to a query dict object.
"""
return json.loads(b64decode(b64data).decode('utf-8'))
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
def apply_query(queryset, params):
"""
Apply a dict-based set of filters & parameters to a queryset.
queryset is a Django queryset, eg MyModel.objects.all() or
MyModel.objects.filter(user=request.user)
params is a dictionary that contains the following:
filtering: A dict of Django ORM filters, eg:
{'user__id__in': [1, 3, 103], 'title__contains': 'foo'}
search_string: A freetext search string
sorting: The name of the column to sort by
"""
for key in params['filtering'].keys():
filter = {key: params['filtering'][key]}
queryset = queryset.filter(**filter)
search = params.get('search_string', None)
if search:
qset = (
Q(title__icontains=search) |
Q(description__icontains=search) |
Q(resolution__icontains=search) |
Q(submitter_email__icontains=search)
)
queryset = queryset.filter(qset)
sorting = params.get('sorting', None)
if sorting:
sortreverse = params.get('sortreverse', None)
if sortreverse:
sorting = "-%s" % sorting
queryset = queryset.order_by(sorting)
return queryset
def ticket_template_context(ticket):
context = {}
for field in ('title', 'created', 'modified', 'submitter_email',
'status', 'get_status_display', 'on_hold', 'description',
'resolution', 'priority', 'get_priority_display',
'last_escalation', 'ticket', 'ticket_for_url',
'get_status', 'ticket_url', 'staff_url', '_get_assigned_to'
):
attr = getattr(ticket, field, None)
if callable(attr):
context[field] = '%s' % attr()
else:
context[field] = attr
context['assigned_to'] = context['_get_assigned_to']
return context
def queue_template_context(queue):
context = {}
for field in ('title', 'slug', 'email_address', 'from_address', 'locale'):
attr = getattr(queue, field, None)
if callable(attr):
context[field] = attr()
else:
context[field] = attr
return context
def safe_template_context(ticket):
"""
Return a dictionary that can be used as a template context to render
comments and other details with ticket or queue parameters. Note that
we don't just provide the Ticket & Queue objects to the template as
they could reveal confidential information. Just imagine these two options:
* {{ ticket.queue.email_box_password }}
* {{ ticket.assigned_to.password }}
Ouch!
The downside to this is that if we make changes to the model, we will also
have to update this code. Perhaps we can find a better way in the future.
"""
context = {
'queue': queue_template_context(ticket.queue),
'ticket': ticket_template_context(ticket),
}
context['ticket']['queue'] = context['queue']
return context
def text_is_spam(text, request):
# Based on a blog post by 'sciyoshi':
# http://sciyoshi.com/blog/2008/aug/27/using-akismet-djangos-new-comments-framework/
# This will return 'True' is the given text is deemed to be spam, or
# False if it is not spam. If it cannot be checked for some reason, we
# assume it isn't spam.
from django.contrib.sites.models import Site
from django.core.exceptions import ImproperlyConfigured
try:
from akismet import Akismet
except ImportError:
return False
try:
site = Site.objects.get_current()
except ImproperlyConfigured:
site = Site(domain='configure-django-sites.com')
# see https://akismet.readthedocs.io/en/latest/overview.html#using-akismet
apikey = None
if hasattr(settings, 'TYPEPAD_ANTISPAM_API_KEY'):
apikey = settings.TYPEPAD_ANTISPAM_API_KEY
ak.baseurl = 'api.antispam.typepad.com/1.1/'
elif hasattr(settings, 'PYTHON_AKISMET_API_KEY'):
# new env var expected by python-akismet package
apikey = settings.PYTHON_AKISMET_API_KEY
elif hasattr(settings, 'AKISMET_API_KEY'):
# deprecated, but kept for backward compatibility
apikey = settings.AKISMET_API_KEY
else:
return False
ak = Akismet(
blog_url='http://%s/' % site.domain,
key=apikey,
)
if ak.verify_key():
ak_data = {
'user_ip': request.META.get('REMOTE_ADDR', '127.0.0.1'),
'user_agent': request.META.get('HTTP_USER_AGENT', ''),
'referrer': request.META.get('HTTP_REFERER', ''),
'comment_type': 'comment',
'comment_author': '',
}
return ak.comment_check(smart_text(text), data=ak_data)
return False
def process_attachments(followup, attached_files):
max_email_attachment_size = getattr(settings, 'MAX_EMAIL_ATTACHMENT_SIZE', 512000)
attachments = []
for attached in attached_files:
if attached.size:
filename = smart_text(attached.name)
att = Attachment(
followup=followup,
file=attached,
filename=filename,
mime_type=attached.content_type or
mimetypes.guess_type(filename, strict=False)[0] or
'application/octet-stream',
size=attached.size,
)
att.save()
if attached.size < max_email_attachment_size:
# Only files smaller than 512kb (or as defined in
# settings.MAX_EMAIL_ATTACHMENT_SIZE) are sent via email.
attachments.append([filename, att.file])
return attachments
ORDER_COLUMN_CHOICES = Choices(
('0', 'id'),
('2', 'priority'),
('3', 'title'),
('4', 'queue'),
('5', 'status'),
('6', 'created'),
('7', 'due_date'),
('8', 'assigned_to')
)
def query_tickets_by_args(objects, order_by, **kwargs):
"""
This function takes in a list of ticket objects from the views and throws it
to the datatables on ticket_list.html. If a search string was entered, this
function filters existing dataset on search string and returns a filtered
filtered list. The `draw`, `length` etc parameters are for datatables to
display meta data on the table contents. The returning queryset is passed
to a Serializer called TicketSerializer in serializers.py.
"""
draw = int(kwargs.get('draw', None)[0])
length = int(kwargs.get('length', None)[0])
start = int(kwargs.get('start', None)[0])
search_value = kwargs.get('search[value]', None)[0]
order_column = kwargs.get('order[0][column]', None)[0]
order = kwargs.get('order[0][dir]', None)[0]
order_column = ORDER_COLUMN_CHOICES[order_column]
# django orm '-' -> desc
if order == 'desc':
order_column = '-' + order_column
queryset = objects.all().order_by(order_by)
total = queryset.count()
if search_value:
queryset = queryset.filter(Q(id__icontains=search_value) |
Q(priority__icontains=search_value) |
Q(title__icontains=search_value) |
Q(queue__title__icontains=search_value) |
Q(status__icontains=search_value) |
Q(created__icontains=search_value) |
Q(due_date__icontains=search_value) |
Q(assigned_to__email__icontains=search_value))
count = queryset.count()
queryset = queryset.order_by(order_column)[start:start + length]
return {
'items': queryset,
'count': count,
'total': total,
'draw': draw
}