mirror of
https://gitea.mueller.network/extern/django-helpdesk.git
synced 2024-11-25 17:33:08 +01:00
294 lines
9.1 KiB
Python
294 lines
9.1 KiB
Python
"""
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django-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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import logging
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import mimetypes
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import os
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from django.conf import settings
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from django.db.models import Q
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from django.utils.encoding import smart_text, smart_str
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from django.utils.safestring import mark_safe
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from helpdesk.models import Attachment, EmailTemplate
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from model_utils import Choices
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from base64 import b64encode
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from base64 import b64decode
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import json
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logger = logging.getLogger('helpdesk')
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def query_to_base64(query):
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"""
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Converts a query dict object to a base64-encoded bytes object.
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"""
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return b64encode(json.dumps(query).encode('UTF-8'))
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def query_from_base64(b64data):
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"""
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Converts base64-encoded bytes object back to a query dict object.
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"""
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return json.loads(b64decode(b64data).decode('utf-8'))
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def query_to_dict(results, descriptions):
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"""
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Replacement method for cursor.dictfetchall() as that method no longer
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exists in psycopg2, and I'm guessing in other backends too.
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Converts the results of a raw SQL query into a list of dictionaries, suitable
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for use in templates etc.
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"""
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output = []
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for data in results:
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row = {}
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i = 0
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for column in descriptions:
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row[column[0]] = data[i]
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i += 1
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output.append(row)
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return output
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def apply_query(queryset, params):
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"""
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Apply a dict-based set of filters & parameters to a queryset.
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queryset is a Django queryset, eg MyModel.objects.all() or
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MyModel.objects.filter(user=request.user)
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params is a dictionary that contains the following:
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filtering: A dict of Django ORM filters, eg:
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{'user__id__in': [1, 3, 103], 'title__contains': 'foo'}
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search_string: A freetext search string
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sorting: The name of the column to sort by
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"""
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for key in params['filtering'].keys():
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filter = {key: params['filtering'][key]}
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queryset = queryset.filter(**filter)
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search = params.get('search_string', None)
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if search:
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qset = (
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Q(title__icontains=search) |
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Q(description__icontains=search) |
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Q(resolution__icontains=search) |
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Q(submitter_email__icontains=search)
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)
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queryset = queryset.filter(qset)
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sorting = params.get('sorting', None)
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if sorting:
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sortreverse = params.get('sortreverse', None)
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if sortreverse:
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sorting = "-%s" % sorting
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queryset = queryset.order_by(sorting)
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return queryset
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def ticket_template_context(ticket):
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context = {}
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for field in ('title', 'created', 'modified', 'submitter_email',
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'status', 'get_status_display', 'on_hold', 'description',
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'resolution', 'priority', 'get_priority_display',
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'last_escalation', 'ticket', 'ticket_for_url',
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'get_status', 'ticket_url', 'staff_url', '_get_assigned_to'
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):
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attr = getattr(ticket, field, None)
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if callable(attr):
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context[field] = '%s' % attr()
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else:
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context[field] = attr
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context['assigned_to'] = context['_get_assigned_to']
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return context
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def queue_template_context(queue):
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context = {}
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for field in ('title', 'slug', 'email_address', 'from_address', 'locale'):
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attr = getattr(queue, field, None)
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if callable(attr):
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context[field] = attr()
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else:
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context[field] = attr
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return context
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def safe_template_context(ticket):
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"""
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Return a dictionary that can be used as a template context to render
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comments and other details with ticket or queue parameters. Note that
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we don't just provide the Ticket & Queue objects to the template as
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they could reveal confidential information. Just imagine these two options:
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* {{ ticket.queue.email_box_password }}
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* {{ ticket.assigned_to.password }}
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Ouch!
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The downside to this is that if we make changes to the model, we will also
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have to update this code. Perhaps we can find a better way in the future.
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"""
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context = {
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'queue': queue_template_context(ticket.queue),
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'ticket': ticket_template_context(ticket),
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}
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context['ticket']['queue'] = context['queue']
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return context
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def text_is_spam(text, request):
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# Based on a blog post by 'sciyoshi':
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# http://sciyoshi.com/blog/2008/aug/27/using-akismet-djangos-new-comments-framework/
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# This will return 'True' is the given text is deemed to be spam, or
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# False if it is not spam. If it cannot be checked for some reason, we
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# assume it isn't spam.
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from django.contrib.sites.models import Site
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from django.core.exceptions import ImproperlyConfigured
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try:
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from akismet import Akismet
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except ImportError:
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return False
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try:
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site = Site.objects.get_current()
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except ImproperlyConfigured:
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site = Site(domain='configure-django-sites.com')
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# see https://akismet.readthedocs.io/en/latest/overview.html#using-akismet
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apikey = None
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if hasattr(settings, 'TYPEPAD_ANTISPAM_API_KEY'):
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apikey = settings.TYPEPAD_ANTISPAM_API_KEY
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ak.baseurl = 'api.antispam.typepad.com/1.1/'
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elif hasattr(settings, 'PYTHON_AKISMET_API_KEY'):
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# new env var expected by python-akismet package
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apikey = settings.PYTHON_AKISMET_API_KEY
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elif hasattr(settings, 'AKISMET_API_KEY'):
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# deprecated, but kept for backward compatibility
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apikey = settings.AKISMET_API_KEY
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else:
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return False
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ak = Akismet(
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blog_url='http://%s/' % site.domain,
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key=apikey,
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)
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if ak.verify_key():
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ak_data = {
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'user_ip': request.META.get('REMOTE_ADDR', '127.0.0.1'),
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'user_agent': request.META.get('HTTP_USER_AGENT', ''),
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'referrer': request.META.get('HTTP_REFERER', ''),
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'comment_type': 'comment',
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'comment_author': '',
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}
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return ak.comment_check(smart_text(text), data=ak_data)
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return False
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def process_attachments(followup, attached_files):
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max_email_attachment_size = getattr(settings, 'MAX_EMAIL_ATTACHMENT_SIZE', 512000)
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attachments = []
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for attached in attached_files:
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if attached.size:
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filename = smart_text(attached.name)
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att = Attachment(
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followup=followup,
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file=attached,
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filename=filename,
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mime_type=attached.content_type or
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mimetypes.guess_type(filename, strict=False)[0] or
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'application/octet-stream',
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size=attached.size,
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)
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att.save()
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if attached.size < max_email_attachment_size:
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# Only files smaller than 512kb (or as defined in
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# settings.MAX_EMAIL_ATTACHMENT_SIZE) are sent via email.
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attachments.append([filename, att.file])
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return attachments
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ORDER_COLUMN_CHOICES = Choices(
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('0', 'id'),
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('2', 'priority'),
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('3', 'title'),
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('4', 'queue'),
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('5', 'status'),
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('6', 'created'),
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('7', 'due_date'),
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('8', 'assigned_to')
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)
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def query_tickets_by_args(objects, order_by, **kwargs):
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"""
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This function takes in a list of ticket objects from the views and throws it
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to the datatables on ticket_list.html. If a search string was entered, this
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function filters existing dataset on search string and returns a filtered
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filtered list. The `draw`, `length` etc parameters are for datatables to
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display meta data on the table contents. The returning queryset is passed
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to a Serializer called TicketSerializer in serializers.py.
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"""
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draw = int(kwargs.get('draw', None)[0])
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length = int(kwargs.get('length', None)[0])
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start = int(kwargs.get('start', None)[0])
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search_value = kwargs.get('search[value]', None)[0]
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order_column = kwargs.get('order[0][column]', None)[0]
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order = kwargs.get('order[0][dir]', None)[0]
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order_column = ORDER_COLUMN_CHOICES[order_column]
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# django orm '-' -> desc
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if order == 'desc':
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order_column = '-' + order_column
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queryset = objects.all().order_by(order_by)
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total = queryset.count()
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if search_value:
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queryset = queryset.filter(Q(id__icontains=search_value) |
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Q(priority__icontains=search_value) |
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Q(title__icontains=search_value) |
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Q(queue__title__icontains=search_value) |
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Q(status__icontains=search_value) |
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Q(created__icontains=search_value) |
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Q(due_date__icontains=search_value) |
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Q(assigned_to__email__icontains=search_value))
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count = queryset.count()
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queryset = queryset.order_by(order_column)[start:start + length]
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return {
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'items': queryset,
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'count': count,
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'total': total,
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'draw': draw
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}
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