mirror of
https://gitea.mueller.network/extern/django-helpdesk.git
synced 2024-11-22 07:53:19 +01:00
144 lines
4.4 KiB
Python
144 lines
4.4 KiB
Python
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from django.db.models import Q
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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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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')).decode("ascii")
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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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query = {'search_string': ''}
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query.update(json.loads(b64decode(b64data).decode('utf-8')))
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if query['search_string'] is None:
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query['search_string'] = ''
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return query
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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', '')
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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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Q(ticketcustomfieldvalue__value__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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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 DatatablesTicketSerializer 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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