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339 lines
10 KiB
Python
339 lines
10 KiB
Python
import datetime
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import json
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from collections import OrderedDict
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from itertools import count, groupby
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from django.core.serializers import serialize
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from django.db.models import Count, OuterRef, Subquery
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from django.db.models.functions import Coalesce
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from jinja2 import Environment
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from mptt.models import MPTTModel
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from dcim.choices import CableLengthUnitChoices
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from extras.utils import is_taggable
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from utilities.constants import HTTP_REQUEST_META_SAFE_COPY
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def csv_format(data):
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"""
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Encapsulate any data which contains a comma within double quotes.
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"""
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csv = []
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for value in data:
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# Represent None or False with empty string
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if value is None or value is False:
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csv.append('')
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continue
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# Convert dates to ISO format
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if isinstance(value, (datetime.date, datetime.datetime)):
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value = value.isoformat()
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# Force conversion to string first so we can check for any commas
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if not isinstance(value, str):
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value = '{}'.format(value)
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# Double-quote the value if it contains a comma or line break
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if ',' in value or '\n' in value:
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value = value.replace('"', '""') # Escape double-quotes
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csv.append('"{}"'.format(value))
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else:
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csv.append('{}'.format(value))
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return ','.join(csv)
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def foreground_color(bg_color):
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"""
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Return the ideal foreground color (black or white) for a given background color in hexadecimal RGB format.
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"""
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bg_color = bg_color.strip('#')
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r, g, b = [int(bg_color[c:c + 2], 16) for c in (0, 2, 4)]
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if r * 0.299 + g * 0.587 + b * 0.114 > 186:
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return '000000'
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else:
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return 'ffffff'
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def dynamic_import(name):
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"""
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Dynamically import a class from an absolute path string
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"""
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components = name.split('.')
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mod = __import__(components[0])
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for comp in components[1:]:
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mod = getattr(mod, comp)
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return mod
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def count_related(model, field):
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"""
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Return a Subquery suitable for annotating a child object count.
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"""
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subquery = Subquery(
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model.objects.filter(
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**{field: OuterRef('pk')}
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).order_by().values(
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field
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).annotate(
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c=Count('*')
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).values('c')
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)
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return Coalesce(subquery, 0)
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def serialize_object(obj, extra=None):
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"""
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Return a generic JSON representation of an object using Django's built-in serializer. (This is used for things like
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change logging, not the REST API.) Optionally include a dictionary to supplement the object data. A list of keys
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can be provided to exclude them from the returned dictionary. Private fields (prefaced with an underscore) are
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implicitly excluded.
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"""
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json_str = serialize('json', [obj])
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data = json.loads(json_str)[0]['fields']
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# Exclude any MPTTModel fields
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if issubclass(obj.__class__, MPTTModel):
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for field in ['level', 'lft', 'rght', 'tree_id']:
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data.pop(field)
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# Include custom_field_data as "custom_fields"
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if hasattr(obj, 'custom_field_data'):
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data['custom_fields'] = data.pop('custom_field_data')
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# Include any tags. Check for tags cached on the instance; fall back to using the manager.
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if is_taggable(obj):
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tags = getattr(obj, '_tags', None) or obj.tags.all()
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data['tags'] = [tag.name for tag in tags]
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# Append any extra data
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if extra is not None:
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data.update(extra)
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# Copy keys to list to avoid 'dictionary changed size during iteration' exception
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for key in list(data):
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# Private fields shouldn't be logged in the object change
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if isinstance(key, str) and key.startswith('_'):
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data.pop(key)
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return data
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def dict_to_filter_params(d, prefix=''):
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"""
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Translate a dictionary of attributes to a nested set of parameters suitable for QuerySet filtering. For example:
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{
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"name": "Foo",
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"rack": {
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"facility_id": "R101"
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}
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}
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Becomes:
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{
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"name": "Foo",
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"rack__facility_id": "R101"
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}
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And can be employed as filter parameters:
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Device.objects.filter(**dict_to_filter(attrs_dict))
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"""
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params = {}
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for key, val in d.items():
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k = prefix + key
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if isinstance(val, dict):
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params.update(dict_to_filter_params(val, k + '__'))
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else:
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params[k] = val
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return params
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def normalize_querydict(querydict):
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"""
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Convert a QueryDict to a normal, mutable dictionary, preserving list values. For example,
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QueryDict('foo=1&bar=2&bar=3&baz=')
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becomes:
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{'foo': '1', 'bar': ['2', '3'], 'baz': ''}
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This function is necessary because QueryDict does not provide any built-in mechanism which preserves multiple
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values.
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"""
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return {
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k: v if len(v) > 1 else v[0] for k, v in querydict.lists()
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}
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def deepmerge(original, new):
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"""
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Deep merge two dictionaries (new into original) and return a new dict
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"""
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merged = OrderedDict(original)
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for key, val in new.items():
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if key in original and isinstance(original[key], dict) and isinstance(val, dict):
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merged[key] = deepmerge(original[key], val)
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else:
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merged[key] = val
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return merged
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def to_meters(length, unit):
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"""
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Convert the given length to meters.
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"""
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length = int(length)
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if length < 0:
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raise ValueError("Length must be a positive integer")
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valid_units = CableLengthUnitChoices.values()
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if unit not in valid_units:
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raise ValueError(
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"Unknown unit {}. Must be one of the following: {}".format(unit, ', '.join(valid_units))
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)
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if unit == CableLengthUnitChoices.UNIT_METER:
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return length
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if unit == CableLengthUnitChoices.UNIT_CENTIMETER:
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return length / 100
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if unit == CableLengthUnitChoices.UNIT_FOOT:
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return length * 0.3048
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if unit == CableLengthUnitChoices.UNIT_INCH:
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return length * 0.3048 * 12
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raise ValueError("Unknown unit {}. Must be 'm', 'cm', 'ft', or 'in'.".format(unit))
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def render_jinja2(template_code, context):
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"""
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Render a Jinja2 template with the provided context. Return the rendered content.
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"""
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return Environment().from_string(source=template_code).render(**context)
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def prepare_cloned_fields(instance):
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"""
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Compile an object's `clone_fields` list into a string of URL query parameters. Tags are automatically cloned where
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applicable.
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"""
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params = []
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for field_name in getattr(instance, 'clone_fields', []):
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field = instance._meta.get_field(field_name)
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field_value = field.value_from_object(instance)
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# Pass False as null for boolean fields
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if field_value is False:
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params.append((field_name, ''))
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# Omit empty values
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elif field_value not in (None, ''):
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params.append((field_name, field_value))
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# Copy tags
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if is_taggable(instance):
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for tag in instance.tags.all():
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params.append(('tags', tag.pk))
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# Concatenate parameters into a URL query string
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param_string = '&'.join([f'{k}={v}' for k, v in params])
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return param_string
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def shallow_compare_dict(source_dict, destination_dict, exclude=None):
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"""
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Return a new dictionary of the different keys. The values of `destination_dict` are returned. Only the equality of
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the first layer of keys/values is checked. `exclude` is a list or tuple of keys to be ignored.
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"""
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difference = {}
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for key in destination_dict:
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if source_dict.get(key) != destination_dict[key]:
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if isinstance(exclude, (list, tuple)) and key in exclude:
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continue
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difference[key] = destination_dict[key]
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return difference
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def flatten_dict(d, prefix='', separator='.'):
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"""
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Flatten netsted dictionaries into a single level by joining key names with a separator.
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:param d: The dictionary to be flattened
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:param prefix: Initial prefix (if any)
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:param separator: The character to use when concatenating key names
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"""
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ret = {}
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for k, v in d.items():
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key = separator.join([prefix, k]) if prefix else k
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if type(v) is dict:
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ret.update(flatten_dict(v, prefix=key))
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else:
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ret[key] = v
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return ret
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# Taken from django.utils.functional (<3.0)
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def curry(_curried_func, *args, **kwargs):
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def _curried(*moreargs, **morekwargs):
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return _curried_func(*args, *moreargs, **{**kwargs, **morekwargs})
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return _curried
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def array_to_string(array):
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"""
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Generate an efficient, human-friendly string from a set of integers. Intended for use with ArrayField.
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For example:
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[0, 1, 2, 10, 14, 15, 16] => "0-2, 10, 14-16"
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"""
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group = (list(x) for _, x in groupby(sorted(array), lambda x, c=count(): next(c) - x))
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return ', '.join('-'.join(map(str, (g[0], g[-1])[:len(g)])) for g in group)
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def content_type_name(contenttype):
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"""
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Return a proper ContentType name.
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"""
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meta = contenttype.model_class()._meta
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return f'{meta.app_config.verbose_name} > {meta.verbose_name}'
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#
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# Fake request object
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#
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class NetBoxFakeRequest:
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"""
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A fake request object which is explicitly defined at the module level so it is able to be pickled. It simply
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takes what is passed to it as kwargs on init and sets them as instance variables.
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"""
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def __init__(self, _dict):
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self.__dict__ = _dict
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def copy_safe_request(request):
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"""
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Copy selected attributes from a request object into a new fake request object. This is needed in places where
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thread safe pickling of the useful request data is needed.
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"""
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meta = {
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k: request.META[k]
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for k in HTTP_REQUEST_META_SAFE_COPY
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if k in request.META and isinstance(request.META[k], str)
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}
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return NetBoxFakeRequest({
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'META': meta,
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'POST': request.POST,
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'GET': request.GET,
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'FILES': request.FILES,
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'user': request.user,
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'path': request.path,
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'id': getattr(request, 'id', None), # UUID assigned by middleware
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})
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