/usr/lib/python3/dist-packages/mongoengine/base/document.py is in python3-mongoengine 0.10.6-1.
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import operator
import numbers
from collections import Hashable
from functools import partial
import pymongo
from bson import json_util, ObjectId
from bson.dbref import DBRef
from bson.son import SON
from mongoengine import signals
from mongoengine.common import _import_class
from mongoengine.errors import (ValidationError, InvalidDocumentError,
LookUpError, FieldDoesNotExist)
from mongoengine.python_support import PY3, txt_type
from mongoengine.base.common import get_document, ALLOW_INHERITANCE
from mongoengine.base.datastructures import (
BaseDict,
BaseList,
EmbeddedDocumentList,
StrictDict,
SemiStrictDict
)
from mongoengine.base.fields import ComplexBaseField
import collections
__all__ = ('BaseDocument', 'NON_FIELD_ERRORS')
NON_FIELD_ERRORS = '__all__'
class BaseDocument(object):
__slots__ = ('_changed_fields', '_initialised', '_created', '_data',
'_dynamic_fields', '_auto_id_field', '_db_field_map', '__weakref__')
_dynamic = False
_dynamic_lock = True
STRICT = False
def __init__(self, *args, **values):
"""
Initialise a document or embedded document
:param __auto_convert: Try and will cast python objects to Object types
:param values: A dictionary of values for the document
"""
self._initialised = False
self._created = True
if args:
# Combine positional arguments with named arguments.
# We only want named arguments.
field = iter(self._fields_ordered)
# If its an automatic id field then skip to the first defined field
if self._auto_id_field:
next(field)
for value in args:
name = next(field)
if name in values:
raise TypeError(
"Multiple values for keyword argument '" + name + "'")
values[name] = value
__auto_convert = values.pop("__auto_convert", True)
# 399: set default values only to fields loaded from DB
__only_fields = set(values.pop("__only_fields", values))
_created = values.pop("_created", True)
signals.pre_init.send(self.__class__, document=self, values=values)
# Check if there are undefined fields supplied to the constructor,
# if so raise an Exception.
if not self._dynamic and (self._meta.get('strict', True) or _created):
for var in list(values.keys()):
if var not in list(self._fields.keys()) + ['id', 'pk', '_cls', '_text_score']:
msg = (
"The field '{0}' does not exist on the document '{1}'"
).format(var, self._class_name)
raise FieldDoesNotExist(msg)
if self.STRICT and not self._dynamic:
self._data = StrictDict.create(allowed_keys=self._fields_ordered)()
else:
self._data = SemiStrictDict.create(
allowed_keys=self._fields_ordered)()
self._dynamic_fields = SON()
# Assign default values to instance
for key, field in self._fields.items():
if self._db_field_map.get(key, key) in __only_fields:
continue
value = getattr(self, key, None)
setattr(self, key, value)
if "_cls" not in values:
self._cls = self._class_name
# Set passed values after initialisation
if self._dynamic:
dynamic_data = {}
for key, value in values.items():
if key in self._fields or key == '_id':
setattr(self, key, value)
elif self._dynamic:
dynamic_data[key] = value
else:
FileField = _import_class('FileField')
for key, value in values.items():
if key == '__auto_convert':
continue
key = self._reverse_db_field_map.get(key, key)
if key in self._fields or key in ('id', 'pk', '_cls'):
if __auto_convert and value is not None:
field = self._fields.get(key)
if field and not isinstance(field, FileField):
value = field.to_python(value)
setattr(self, key, value)
else:
self._data[key] = value
# Set any get_fieldname_display methods
self.__set_field_display()
if self._dynamic:
self._dynamic_lock = False
for key, value in dynamic_data.items():
setattr(self, key, value)
# Flag initialised
self._initialised = True
self._created = _created
signals.post_init.send(self.__class__, document=self)
def __delattr__(self, *args, **kwargs):
"""Handle deletions of fields"""
field_name = args[0]
if field_name in self._fields:
default = self._fields[field_name].default
if isinstance(default, collections.Callable):
default = default()
setattr(self, field_name, default)
else:
super(BaseDocument, self).__delattr__(*args, **kwargs)
def __setattr__(self, name, value):
# Handle dynamic data only if an initialised dynamic document
if self._dynamic and not self._dynamic_lock:
if not hasattr(self, name) and not name.startswith('_'):
DynamicField = _import_class("DynamicField")
field = DynamicField(db_field=name)
field.name = name
self._dynamic_fields[name] = field
self._fields_ordered += (name,)
if not name.startswith('_'):
value = self.__expand_dynamic_values(name, value)
# Handle marking data as changed
if name in self._dynamic_fields:
self._data[name] = value
if hasattr(self, '_changed_fields'):
self._mark_as_changed(name)
try:
self__created = self._created
except AttributeError:
self__created = True
if (self._is_document and not self__created and
name in self._meta.get('shard_key', tuple()) and
self._data.get(name) != value):
OperationError = _import_class('OperationError')
msg = "Shard Keys are immutable. Tried to update %s" % name
raise OperationError(msg)
try:
self__initialised = self._initialised
except AttributeError:
self__initialised = False
# Check if the user has created a new instance of a class
if (self._is_document and self__initialised and
self__created and name == self._meta.get('id_field')):
super(BaseDocument, self).__setattr__('_created', False)
super(BaseDocument, self).__setattr__(name, value)
def __getstate__(self):
data = {}
for k in ('_changed_fields', '_initialised', '_created',
'_dynamic_fields', '_fields_ordered'):
if hasattr(self, k):
data[k] = getattr(self, k)
data['_data'] = self.to_mongo()
return data
def __setstate__(self, data):
if isinstance(data["_data"], SON):
data["_data"] = self.__class__._from_son(data["_data"])._data
for k in ('_changed_fields', '_initialised', '_created', '_data',
'_dynamic_fields'):
if k in data:
setattr(self, k, data[k])
if '_fields_ordered' in data:
if self._dynamic:
setattr(self, '_fields_ordered', data['_fields_ordered'])
else:
_super_fields_ordered = type(self)._fields_ordered
setattr(self, '_fields_ordered', _super_fields_ordered)
dynamic_fields = data.get('_dynamic_fields') or SON()
for k in list(dynamic_fields.keys()):
setattr(self, k, data["_data"].get(k))
def __iter__(self):
return iter(self._fields_ordered)
def __getitem__(self, name):
"""Dictionary-style field access, return a field's value if present.
"""
try:
if name in self._fields_ordered:
return getattr(self, name)
except AttributeError:
pass
raise KeyError(name)
def __setitem__(self, name, value):
"""Dictionary-style field access, set a field's value.
"""
# Ensure that the field exists before settings its value
if not self._dynamic and name not in self._fields:
raise KeyError(name)
return setattr(self, name, value)
def __contains__(self, name):
try:
val = getattr(self, name)
return val is not None
except AttributeError:
return False
def __len__(self):
return len(self._data)
def __repr__(self):
try:
u = self.__str__()
except (UnicodeEncodeError, UnicodeDecodeError):
u = '[Bad Unicode data]'
repr_type = str if u is None else type(u)
return repr_type('<%s: %s>' % (self.__class__.__name__, u))
def __str__(self):
if hasattr(self, '__unicode__'):
if PY3:
return self.__unicode__()
else:
return str(self).encode('utf-8')
return txt_type('%s object' % self.__class__.__name__)
def __eq__(self, other):
if isinstance(other, self.__class__) and hasattr(other, 'id') and other.id is not None:
return self.id == other.id
if isinstance(other, DBRef):
return self._get_collection_name() == other.collection and self.id == other.id
if self.id is None:
return self is other
return False
def __ne__(self, other):
return not self.__eq__(other)
def __hash__(self):
if getattr(self, 'pk', None) is None:
# For new object
return super(BaseDocument, self).__hash__()
else:
return hash(self.pk)
def clean(self):
"""
Hook for doing document level data cleaning before validation is run.
Any ValidationError raised by this method will not be associated with
a particular field; it will have a special-case association with the
field defined by NON_FIELD_ERRORS.
"""
pass
def get_text_score(self):
"""
Get text score from text query
"""
if '_text_score' not in self._data:
raise InvalidDocumentError('This document is not originally built from a text query')
return self._data['_text_score']
def to_mongo(self, use_db_field=True, fields=None):
"""
Return as SON data ready for use with MongoDB.
"""
if not fields:
fields = []
data = SON()
data["_id"] = None
data['_cls'] = self._class_name
EmbeddedDocumentField = _import_class("EmbeddedDocumentField")
# only root fields ['test1.a', 'test2'] => ['test1', 'test2']
root_fields = set([f.split('.')[0] for f in fields])
for field_name in self:
if root_fields and field_name not in root_fields:
continue
value = self._data.get(field_name, None)
field = self._fields.get(field_name)
if field is None and self._dynamic:
field = self._dynamic_fields.get(field_name)
if value is not None:
if isinstance(field, EmbeddedDocumentField):
if fields:
key = '%s.' % field_name
embedded_fields = [
i.replace(key, '') for i in fields
if i.startswith(key)]
else:
embedded_fields = []
value = field.to_mongo(value, use_db_field=use_db_field,
fields=embedded_fields)
else:
value = field.to_mongo(value)
# Handle self generating fields
if value is None and field._auto_gen:
value = field.generate()
self._data[field_name] = value
if value is not None:
if use_db_field:
data[field.db_field] = value
else:
data[field.name] = value
# If "_id" has not been set, then try and set it
Document = _import_class("Document")
if isinstance(self, Document):
if data["_id"] is None:
data["_id"] = self._data.get("id", None)
if data['_id'] is None:
data.pop('_id')
# Only add _cls if allow_inheritance is True
if (not hasattr(self, '_meta') or
not self._meta.get('allow_inheritance', ALLOW_INHERITANCE)):
data.pop('_cls')
return data
def validate(self, clean=True):
"""Ensure that all fields' values are valid and that required fields
are present.
"""
# Ensure that each field is matched to a valid value
errors = {}
if clean:
try:
self.clean()
except ValidationError as error:
errors[NON_FIELD_ERRORS] = error
# Get a list of tuples of field names and their current values
fields = [(self._fields.get(name, self._dynamic_fields.get(name)),
self._data.get(name)) for name in self._fields_ordered]
EmbeddedDocumentField = _import_class("EmbeddedDocumentField")
GenericEmbeddedDocumentField = _import_class(
"GenericEmbeddedDocumentField")
for field, value in fields:
if value is not None:
try:
if isinstance(field, (EmbeddedDocumentField,
GenericEmbeddedDocumentField)):
field._validate(value, clean=clean)
else:
field._validate(value)
except ValidationError as error:
errors[field.name] = error.errors or error
except (ValueError, AttributeError, AssertionError) as error:
errors[field.name] = error
elif field.required and not getattr(field, '_auto_gen', False):
errors[field.name] = ValidationError('Field is required',
field_name=field.name)
if errors:
pk = "None"
if hasattr(self, 'pk'):
pk = self.pk
elif self._instance and hasattr(self._instance, 'pk'):
pk = self._instance.pk
message = "ValidationError (%s:%s) " % (self._class_name, pk)
raise ValidationError(message, errors=errors)
def to_json(self, *args, **kwargs):
"""Converts a document to JSON.
:param use_db_field: Set to True by default but enables the output of the json structure with the field names
and not the mongodb store db_names in case of set to False
"""
use_db_field = kwargs.pop('use_db_field', True)
return json_util.dumps(self.to_mongo(use_db_field), *args, **kwargs)
@classmethod
def from_json(cls, json_data, created=False):
"""Converts json data to an unsaved document instance"""
return cls._from_son(json_util.loads(json_data), created=created)
def __expand_dynamic_values(self, name, value):
"""expand any dynamic values to their correct types / values"""
if not isinstance(value, (dict, list, tuple)):
return value
EmbeddedDocumentListField = _import_class('EmbeddedDocumentListField')
is_list = False
if not hasattr(value, 'items'):
is_list = True
value = dict([(k, v) for k, v in enumerate(value)])
if not is_list and '_cls' in value:
cls = get_document(value['_cls'])
return cls(**value)
data = {}
for k, v in list(value.items()):
key = name if is_list else k
data[k] = self.__expand_dynamic_values(key, v)
if is_list: # Convert back to a list
data_items = sorted(list(data.items()), key=operator.itemgetter(0))
value = [v for k, v in data_items]
else:
value = data
# Convert lists / values so we can watch for any changes on them
if (isinstance(value, (list, tuple)) and
not isinstance(value, BaseList)):
if issubclass(type(self), EmbeddedDocumentListField):
value = EmbeddedDocumentList(value, self, name)
else:
value = BaseList(value, self, name)
elif isinstance(value, dict) and not isinstance(value, BaseDict):
value = BaseDict(value, self, name)
return value
def _mark_as_changed(self, key):
"""Marks a key as explicitly changed by the user
"""
if not key:
return
if not hasattr(self, '_changed_fields'):
return
if '.' in key:
key, rest = key.split('.', 1)
key = self._db_field_map.get(key, key)
key = '%s.%s' % (key, rest)
else:
key = self._db_field_map.get(key, key)
if key not in self._changed_fields:
levels, idx = key.split('.'), 1
while idx <= len(levels):
if '.'.join(levels[:idx]) in self._changed_fields:
break
idx += 1
else:
self._changed_fields.append(key)
# remove lower level changed fields
level = '.'.join(levels[:idx]) + '.'
remove = self._changed_fields.remove
for field in self._changed_fields:
if field.startswith(level):
remove(field)
def _clear_changed_fields(self):
"""Using get_changed_fields iterate and remove any fields that are
marked as changed"""
for changed in self._get_changed_fields():
parts = changed.split(".")
data = self
for part in parts:
if isinstance(data, list):
try:
data = data[int(part)]
except IndexError:
data = None
elif isinstance(data, dict):
data = data.get(part, None)
else:
data = getattr(data, part, None)
if hasattr(data, "_changed_fields"):
if hasattr(data, "_is_document") and data._is_document:
continue
data._changed_fields = []
self._changed_fields = []
def _nestable_types_changed_fields(self, changed_fields, key, data, inspected):
# Loop list / dict fields as they contain documents
# Determine the iterator to use
if not hasattr(data, 'items'):
iterator = enumerate(data)
else:
iterator = iter(data.items())
for index, value in iterator:
list_key = "%s%s." % (key, index)
# don't check anything lower if this key is already marked
# as changed.
if list_key[:-1] in changed_fields:
continue
if hasattr(value, '_get_changed_fields'):
changed = value._get_changed_fields(inspected)
changed_fields += ["%s%s" % (list_key, k)
for k in changed if k]
elif isinstance(value, (list, tuple, dict)):
self._nestable_types_changed_fields(
changed_fields, list_key, value, inspected)
def _get_changed_fields(self, inspected=None):
"""Returns a list of all fields that have explicitly been changed.
"""
EmbeddedDocument = _import_class("EmbeddedDocument")
DynamicEmbeddedDocument = _import_class("DynamicEmbeddedDocument")
ReferenceField = _import_class("ReferenceField")
SortedListField = _import_class("SortedListField")
changed_fields = []
changed_fields += getattr(self, '_changed_fields', [])
inspected = inspected or set()
if hasattr(self, 'id') and isinstance(self.id, Hashable):
if self.id in inspected:
return changed_fields
inspected.add(self.id)
for field_name in self._fields_ordered:
db_field_name = self._db_field_map.get(field_name, field_name)
key = '%s.' % db_field_name
data = self._data.get(field_name, None)
field = self._fields.get(field_name)
if hasattr(data, 'id'):
if data.id in inspected:
continue
if isinstance(field, ReferenceField):
continue
elif (isinstance(data, (EmbeddedDocument, DynamicEmbeddedDocument))
and db_field_name not in changed_fields):
# Find all embedded fields that have been changed
changed = data._get_changed_fields(inspected)
changed_fields += ["%s%s" % (key, k) for k in changed if k]
elif (isinstance(data, (list, tuple, dict)) and
db_field_name not in changed_fields):
if (hasattr(field, 'field') and
isinstance(field.field, ReferenceField)):
continue
elif isinstance(field, SortedListField) and field._ordering:
# if ordering is affected whole list is changed
if any([field._ordering in d._changed_fields for d in data]):
changed_fields.append(db_field_name)
continue
self._nestable_types_changed_fields(
changed_fields, key, data, inspected)
return changed_fields
def _delta(self):
"""Returns the delta (set, unset) of the changes for a document.
Gets any values that have been explicitly changed.
"""
# Handles cases where not loaded from_son but has _id
doc = self.to_mongo()
set_fields = self._get_changed_fields()
unset_data = {}
parts = []
if hasattr(self, '_changed_fields'):
set_data = {}
# Fetch each set item from its path
for path in set_fields:
parts = path.split('.')
d = doc
new_path = []
for p in parts:
if isinstance(d, (ObjectId, DBRef)):
break
elif isinstance(d, list) and p.isdigit():
try:
d = d[int(p)]
except IndexError:
d = None
elif hasattr(d, 'get'):
d = d.get(p)
new_path.append(p)
path = '.'.join(new_path)
set_data[path] = d
else:
set_data = doc
if '_id' in set_data:
del set_data['_id']
# Determine if any changed items were actually unset.
for path, value in list(set_data.items()):
if value or isinstance(value, (numbers.Number, bool)):
continue
# If we've set a value that ain't the default value don't unset it.
default = None
if (self._dynamic and len(parts) and parts[0] in
self._dynamic_fields):
del set_data[path]
unset_data[path] = 1
continue
elif path in self._fields:
default = self._fields[path].default
else: # Perform a full lookup for lists / embedded lookups
d = self
parts = path.split('.')
db_field_name = parts.pop()
for p in parts:
if isinstance(d, list) and p.isdigit():
d = d[int(p)]
elif (hasattr(d, '__getattribute__') and
not isinstance(d, dict)):
real_path = d._reverse_db_field_map.get(p, p)
d = getattr(d, real_path)
else:
d = d.get(p)
if hasattr(d, '_fields'):
field_name = d._reverse_db_field_map.get(db_field_name,
db_field_name)
if field_name in d._fields:
default = d._fields.get(field_name).default
else:
default = None
if default is not None:
if isinstance(default, collections.Callable):
default = default()
if default != value:
continue
del set_data[path]
unset_data[path] = 1
return set_data, unset_data
@classmethod
def _get_collection_name(cls):
"""Returns the collection name for this class. None for abstract class
"""
return cls._meta.get('collection', None)
@classmethod
def _from_son(cls, son, _auto_dereference=True, only_fields=None, created=False):
"""Create an instance of a Document (subclass) from a PyMongo SON.
"""
if not only_fields:
only_fields = []
# get the class name from the document, falling back to the given
# class if unavailable
class_name = son.get('_cls', cls._class_name)
data = dict(("%s" % key, value) for key, value in son.items())
# Return correct subclass for document type
if class_name != cls._class_name:
cls = get_document(class_name)
changed_fields = []
errors_dict = {}
fields = cls._fields
if not _auto_dereference:
fields = copy.copy(fields)
for field_name, field in fields.items():
field._auto_dereference = _auto_dereference
if field.db_field in data:
value = data[field.db_field]
try:
data[field_name] = (value if value is None
else field.to_python(value))
if field_name != field.db_field:
del data[field.db_field]
except (AttributeError, ValueError) as e:
errors_dict[field_name] = e
elif field.default:
default = field.default
if isinstance(default, collections.Callable):
default = default()
if isinstance(default, BaseDocument):
changed_fields.append(field_name)
elif not only_fields or field_name in only_fields:
changed_fields.append(field_name)
if errors_dict:
errors = "\n".join(["%s - %s" % (k, v)
for k, v in list(errors_dict.items())])
msg = ("Invalid data to create a `%s` instance.\n%s"
% (cls._class_name, errors))
raise InvalidDocumentError(msg)
if cls.STRICT:
data = dict((k, v)
for k, v in data.items() if k in cls._fields)
obj = cls(__auto_convert=False, _created=created, __only_fields=only_fields, **data)
obj._changed_fields = changed_fields
if not _auto_dereference:
obj._fields = fields
return obj
@classmethod
def _build_index_specs(cls, meta_indexes):
"""Generate and merge the full index specs
"""
geo_indices = cls._geo_indices()
unique_indices = cls._unique_with_indexes()
index_specs = [cls._build_index_spec(spec)
for spec in meta_indexes]
def merge_index_specs(index_specs, indices):
if not indices:
return index_specs
spec_fields = [v['fields']
for k, v in enumerate(index_specs)]
# Merge unique_indexes with existing specs
for k, v in enumerate(indices):
if v['fields'] in spec_fields:
index_specs[spec_fields.index(v['fields'])].update(v)
else:
index_specs.append(v)
return index_specs
index_specs = merge_index_specs(index_specs, geo_indices)
index_specs = merge_index_specs(index_specs, unique_indices)
return index_specs
@classmethod
def _build_index_spec(cls, spec):
"""Build a PyMongo index spec from a MongoEngine index spec.
"""
if isinstance(spec, str):
spec = {'fields': [spec]}
elif isinstance(spec, (list, tuple)):
spec = {'fields': list(spec)}
elif isinstance(spec, dict):
spec = dict(spec)
index_list = []
direction = None
# Check to see if we need to include _cls
allow_inheritance = cls._meta.get('allow_inheritance',
ALLOW_INHERITANCE)
include_cls = (allow_inheritance and not spec.get('sparse', False) and
spec.get('cls', True) and '_cls' not in spec['fields'])
# 733: don't include cls if index_cls is False unless there is an explicit cls with the index
include_cls = include_cls and (spec.get('cls', False) or cls._meta.get('index_cls', True))
if "cls" in spec:
spec.pop('cls')
for key in spec['fields']:
# If inherited spec continue
if isinstance(key, (list, tuple)):
continue
# ASCENDING from +
# DESCENDING from -
# TEXT from $
# HASHED from #
# GEOSPHERE from (
# GEOHAYSTACK from )
# GEO2D from *
direction = pymongo.ASCENDING
if key.startswith("-"):
direction = pymongo.DESCENDING
elif key.startswith("$"):
direction = pymongo.TEXT
elif key.startswith("#"):
direction = pymongo.HASHED
elif key.startswith("("):
direction = pymongo.GEOSPHERE
elif key.startswith(")"):
direction = pymongo.GEOHAYSTACK
elif key.startswith("*"):
direction = pymongo.GEO2D
if key.startswith(("+", "-", "*", "$", "#", "(", ")")):
key = key[1:]
# Use real field name, do it manually because we need field
# objects for the next part (list field checking)
parts = key.split('.')
if parts in (['pk'], ['id'], ['_id']):
key = '_id'
else:
fields = cls._lookup_field(parts)
parts = []
for field in fields:
try:
if field != "_id":
field = field.db_field
except AttributeError:
pass
parts.append(field)
key = '.'.join(parts)
index_list.append((key, direction))
# Don't add cls to a geo index
if include_cls and direction not in (
pymongo.GEO2D, pymongo.GEOHAYSTACK, pymongo.GEOSPHERE):
index_list.insert(0, ('_cls', 1))
if index_list:
spec['fields'] = index_list
return spec
@classmethod
def _unique_with_indexes(cls, namespace=""):
"""
Find and set unique indexes
"""
unique_indexes = []
for field_name, field in list(cls._fields.items()):
sparse = field.sparse
# Generate a list of indexes needed by uniqueness constraints
if field.unique:
unique_fields = [field.db_field]
# Add any unique_with fields to the back of the index spec
if field.unique_with:
if isinstance(field.unique_with, str):
field.unique_with = [field.unique_with]
# Convert unique_with field names to real field names
unique_with = []
for other_name in field.unique_with:
parts = other_name.split('.')
# Lookup real name
parts = cls._lookup_field(parts)
name_parts = [part.db_field for part in parts]
unique_with.append('.'.join(name_parts))
# Unique field should be required
parts[-1].required = True
sparse = (not sparse and
parts[-1].name not in cls.__dict__)
unique_fields += unique_with
# Add the new index to the list
fields = [("%s%s" % (namespace, f), pymongo.ASCENDING)
for f in unique_fields]
index = {'fields': fields, 'unique': True, 'sparse': sparse}
unique_indexes.append(index)
if field.__class__.__name__ == "ListField":
field = field.field
# Grab any embedded document field unique indexes
if (field.__class__.__name__ == "EmbeddedDocumentField" and
field.document_type != cls):
field_namespace = "%s." % field_name
doc_cls = field.document_type
unique_indexes += doc_cls._unique_with_indexes(field_namespace)
return unique_indexes
@classmethod
def _geo_indices(cls, inspected=None, parent_field=None):
inspected = inspected or []
geo_indices = []
inspected.append(cls)
geo_field_type_names = ["EmbeddedDocumentField", "GeoPointField",
"PointField", "LineStringField", "PolygonField"]
geo_field_types = tuple([_import_class(field)
for field in geo_field_type_names])
for field in list(cls._fields.values()):
if not isinstance(field, geo_field_types):
continue
if hasattr(field, 'document_type'):
field_cls = field.document_type
if field_cls in inspected:
continue
if hasattr(field_cls, '_geo_indices'):
geo_indices += field_cls._geo_indices(
inspected, parent_field=field.db_field)
elif field._geo_index:
field_name = field.db_field
if parent_field:
field_name = "%s.%s" % (parent_field, field_name)
geo_indices.append({'fields':
[(field_name, field._geo_index)]})
return geo_indices
@classmethod
def _lookup_field(cls, parts):
"""Lookup a field based on its attribute and return a list containing
the field's parents and the field.
"""
ListField = _import_class("ListField")
DynamicField = _import_class('DynamicField')
if not isinstance(parts, (list, tuple)):
parts = [parts]
fields = []
field = None
for field_name in parts:
# Handle ListField indexing:
if field_name.isdigit() and isinstance(field, ListField):
fields.append(field_name)
continue
if field is None:
# Look up first field from the document
if field_name == 'pk':
# Deal with "primary key" alias
field_name = cls._meta['id_field']
if field_name in cls._fields:
field = cls._fields[field_name]
elif cls._dynamic:
field = DynamicField(db_field=field_name)
elif cls._meta.get("allow_inheritance", False) or cls._meta.get("abstract", False):
# 744: in case the field is defined in a subclass
for subcls in cls.__subclasses__():
try:
field = subcls._lookup_field([field_name])[0]
except LookUpError:
continue
if field is not None:
break
else:
raise LookUpError('Cannot resolve field "%s"' % field_name)
else:
raise LookUpError('Cannot resolve field "%s"'
% field_name)
else:
ReferenceField = _import_class('ReferenceField')
GenericReferenceField = _import_class('GenericReferenceField')
if isinstance(field, (ReferenceField, GenericReferenceField)):
raise LookUpError('Cannot perform join in mongoDB: %s' %
'__'.join(parts))
if hasattr(getattr(field, 'field', None), 'lookup_member'):
new_field = field.field.lookup_member(field_name)
elif cls._dynamic and (isinstance(field, DynamicField) or
getattr(getattr(field, 'document_type'), '_dynamic')):
new_field = DynamicField(db_field=field_name)
else:
# Look up subfield on the previous field or raise
try:
new_field = field.lookup_member(field_name)
except AttributeError:
raise LookUpError('Cannot resolve subfield or operator {} '
'on the field {}'.format(
field_name, field.name))
if not new_field and isinstance(field, ComplexBaseField):
fields.append(field_name)
continue
elif not new_field:
raise LookUpError('Cannot resolve field "%s"'
% field_name)
field = new_field # update field to the new field type
fields.append(field)
return fields
@classmethod
def _translate_field_name(cls, field, sep='.'):
"""Translate a field attribute name to a database field name.
"""
parts = field.split(sep)
parts = [f.db_field for f in cls._lookup_field(parts)]
return '.'.join(parts)
def __set_field_display(self):
"""Dynamically set the display value for a field with choices"""
for attr_name, field in list(self._fields.items()):
if field.choices:
if self._dynamic:
obj = self
else:
obj = type(self)
setattr(obj,
'get_%s_display' % attr_name,
partial(self.__get_field_display, field=field))
def __get_field_display(self, field):
"""Returns the display value for a choice field"""
value = getattr(self, field.name)
if field.choices and isinstance(field.choices[0], (list, tuple)):
return dict(field.choices).get(value, value)
return value
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