django-rest-framework/rest_framework/fields.py

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from django.conf import settings
from django.core.exceptions import ObjectDoesNotExist
from django.core.exceptions import ValidationError as DjangoValidationError
from django.core.validators import RegexValidator
from django.forms import ImageField as DjangoImageField
from django.utils import six, timezone
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from django.utils.dateparse import parse_date, parse_datetime, parse_time
from django.utils.encoding import is_protected_type, smart_text
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from django.utils.translation import ugettext_lazy as _
from rest_framework import ISO_8601
from rest_framework.compat import (
EmailValidator, MinValueValidator, MaxValueValidator,
MinLengthValidator, MaxLengthValidator, URLValidator, OrderedDict
)
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from rest_framework.exceptions import ValidationError
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from rest_framework.settings import api_settings
from rest_framework.utils import html, representation, humanize_datetime
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import copy
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import datetime
import decimal
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import inspect
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import re
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class empty:
"""
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This class is used to represent no data being provided for a given input
or output value.
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It is required because `None` may be a valid input or output value.
"""
pass
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def is_simple_callable(obj):
"""
True if the object is a callable that takes no arguments.
"""
function = inspect.isfunction(obj)
method = inspect.ismethod(obj)
if not (function or method):
return False
args, _, _, defaults = inspect.getargspec(obj)
len_args = len(args) if function else len(args) - 1
len_defaults = len(defaults) if defaults else 0
return len_args <= len_defaults
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def get_attribute(instance, attrs):
"""
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Similar to Python's built in `getattr(instance, attr)`,
but takes a list of nested attributes, instead of a single attribute.
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Also accepts either attribute lookup on objects or dictionary lookups.
"""
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for attr in attrs:
if instance is None:
# Break out early if we get `None` at any point in a nested lookup.
return None
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try:
instance = getattr(instance, attr)
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except ObjectDoesNotExist:
return None
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except AttributeError as exc:
try:
return instance[attr]
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except (KeyError, TypeError, AttributeError):
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raise exc
if is_simple_callable(instance):
instance = instance()
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return instance
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def set_value(dictionary, keys, value):
"""
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Similar to Python's built in `dictionary[key] = value`,
but takes a list of nested keys instead of a single key.
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set_value({'a': 1}, [], {'b': 2}) -> {'a': 1, 'b': 2}
set_value({'a': 1}, ['x'], 2) -> {'a': 1, 'x': 2}
set_value({'a': 1}, ['x', 'y'], 2) -> {'a': 1, 'x': {'y': 2}}
"""
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if not keys:
dictionary.update(value)
return
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for key in keys[:-1]:
if key not in dictionary:
dictionary[key] = {}
dictionary = dictionary[key]
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dictionary[keys[-1]] = value
class CreateOnlyDefault:
"""
This class may be used to provide default values that are only used
for create operations, but that do not return any value for update
operations.
"""
def __init__(self, default):
self.default = default
def set_context(self, serializer_field):
self.is_update = serializer_field.parent.instance is not None
def __call__(self):
if self.is_update:
raise SkipField()
if callable(self.default):
return self.default()
return self.default
def __repr__(self):
return '%s(%s)' % (self.__class__.__name__, repr(self.default))
class CurrentUserDefault:
def set_context(self, serializer_field):
self.user = serializer_field.context['request'].user
def __call__(self):
return self.user
def __repr__(self):
return '%s()' % self.__class__.__name__
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class SkipField(Exception):
pass
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NOT_READ_ONLY_WRITE_ONLY = 'May not set both `read_only` and `write_only`'
NOT_READ_ONLY_REQUIRED = 'May not set both `read_only` and `required`'
NOT_REQUIRED_DEFAULT = 'May not set both `required` and `default`'
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USE_READONLYFIELD = 'Field(read_only=True) should be ReadOnlyField'
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MISSING_ERROR_MESSAGE = (
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'ValidationError raised by `{class_name}`, but error key `{key}` does '
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'not exist in the `error_messages` dictionary.'
)
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class Field(object):
_creation_counter = 0
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default_error_messages = {
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'required': _('This field is required.'),
'null': _('This field may not be null.')
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}
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default_validators = []
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default_empty_html = empty
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initial = None
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def __init__(self, read_only=False, write_only=False,
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required=None, default=empty, initial=empty, source=None,
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label=None, help_text=None, style=None,
error_messages=None, validators=None, allow_null=False):
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self._creation_counter = Field._creation_counter
Field._creation_counter += 1
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# If `required` is unset, then use `True` unless a default is provided.
if required is None:
required = default is empty and not read_only
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# Some combinations of keyword arguments do not make sense.
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assert not (read_only and write_only), NOT_READ_ONLY_WRITE_ONLY
assert not (read_only and required), NOT_READ_ONLY_REQUIRED
assert not (required and default is not empty), NOT_REQUIRED_DEFAULT
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assert not (read_only and self.__class__ == Field), USE_READONLYFIELD
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self.read_only = read_only
self.write_only = write_only
self.required = required
self.default = default
self.source = source
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self.initial = self.initial if (initial is empty) else initial
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self.label = label
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self.help_text = help_text
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self.style = {} if style is None else style
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self.allow_null = allow_null
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if allow_null and self.default_empty_html is empty:
self.default_empty_html = None
if validators is not None:
self.validators = validators[:]
# These are set up by `.bind()` when the field is added to a serializer.
self.field_name = None
self.parent = None
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# Collect default error message from self and parent classes
messages = {}
for cls in reversed(self.__class__.__mro__):
messages.update(getattr(cls, 'default_error_messages', {}))
messages.update(error_messages or {})
self.error_messages = messages
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def bind(self, field_name, parent):
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"""
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Initializes the field name and parent for the field instance.
Called when a field is added to the parent serializer instance.
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"""
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# In order to enforce a consistent style, we error if a redundant
# 'source' argument has been used. For example:
# my_field = serializer.CharField(source='my_field')
assert self.source != field_name, (
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"It is redundant to specify `source='%s'` on field '%s' in "
"serializer '%s', because it is the same as the field name. "
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"Remove the `source` keyword argument." %
(field_name, self.__class__.__name__, parent.__class__.__name__)
)
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self.field_name = field_name
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self.parent = parent
# `self.label` should default to being based on the field name.
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if self.label is None:
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self.label = field_name.replace('_', ' ').capitalize()
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# self.source should default to being the same as the field name.
if self.source is None:
self.source = field_name
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# self.source_attrs is a list of attributes that need to be looked up
# when serializing the instance, or populating the validated data.
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if self.source == '*':
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self.source_attrs = []
else:
self.source_attrs = self.source.split('.')
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# .validators is a lazily loaded property, that gets its default
# value from `get_validators`.
@property
def validators(self):
if not hasattr(self, '_validators'):
self._validators = self.get_validators()
return self._validators
@validators.setter
def validators(self, validators):
self._validators = validators
def get_validators(self):
return self.default_validators[:]
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def get_initial(self):
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"""
Return a value to use when the field is being returned as a primitive
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value, without any object instance.
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"""
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return self.initial
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def get_value(self, dictionary):
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"""
Given the *incoming* primitive data, return the value for this field
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that should be validated and transformed to a native value.
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"""
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if html.is_html_input(dictionary):
# HTML forms will represent empty fields as '', and cannot
# represent None or False values directly.
if self.field_name not in dictionary:
if getattr(self.root, 'partial', False):
return empty
return self.default_empty_html
ret = dictionary[self.field_name]
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return self.default_empty_html if (ret == '') else ret
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return dictionary.get(self.field_name, empty)
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def get_attribute(self, instance):
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"""
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Given the *outgoing* object instance, return the primitive value
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that should be used for this field.
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"""
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return get_attribute(instance, self.source_attrs)
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def get_default(self):
"""
Return the default value to use when validating data if no input
is provided for this field.
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If a default has not been set for this field then this will simply
return `empty`, indicating that no value should be set in the
validated data for this field.
"""
if self.default is empty:
raise SkipField()
if callable(self.default):
if hasattr(self.default, 'set_context'):
self.default.set_context(self)
return self.default()
return self.default
def validate_empty_values(self, data):
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"""
Validate empty values, and either:
* Raise `ValidationError`, indicating invalid data.
* Raise `SkipField`, indicating that the field should be ignored.
* Return (True, data), indicating an empty value that should be
returned without any furhter validation being applied.
* Return (False, data), indicating a non-empty value, that should
have validation applied as normal.
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"""
if self.read_only:
return (True, self.get_default())
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if data is empty:
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if getattr(self.root, 'partial', False):
raise SkipField()
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if self.required:
self.fail('required')
return (True, self.get_default())
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if data is None:
if not self.allow_null:
self.fail('null')
return (True, None)
return (False, data)
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def run_validation(self, data=empty):
"""
Validate a simple representation and return the internal value.
The provided data may be `empty` if no representation was included
in the input.
May raise `SkipField` if the field should not be included in the
validated data.
"""
(is_empty_value, data) = self.validate_empty_values(data)
if is_empty_value:
return data
value = self.to_internal_value(data)
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self.run_validators(value)
return value
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def run_validators(self, value):
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"""
Test the given value against all the validators on the field,
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and either raise a `ValidationError` or simply return.
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"""
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errors = []
for validator in self.validators:
if hasattr(validator, 'set_context'):
validator.set_context(self)
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try:
validator(value)
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except ValidationError as exc:
# If the validation error contains a mapping of fields to
# errors then simply raise it immediately rather than
# attempting to accumulate a list of errors.
if isinstance(exc.detail, dict):
raise
errors.extend(exc.detail)
except DjangoValidationError as exc:
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errors.extend(exc.messages)
if errors:
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raise ValidationError(errors)
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def to_internal_value(self, data):
"""
Transform the *incoming* primitive data into a native value.
"""
raise NotImplementedError('to_internal_value() must be implemented.')
def to_representation(self, value):
"""
Transform the *outgoing* native value into primitive data.
"""
raise NotImplementedError('to_representation() must be implemented.')
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def fail(self, key, **kwargs):
"""
A helper method that simply raises a validation error.
"""
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try:
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msg = self.error_messages[key]
except KeyError:
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class_name = self.__class__.__name__
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msg = MISSING_ERROR_MESSAGE.format(class_name=class_name, key=key)
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raise AssertionError(msg)
message_string = msg.format(**kwargs)
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raise ValidationError(message_string)
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@property
def root(self):
"""
Returns the top-level serializer for this field.
"""
root = self
while root.parent is not None:
root = root.parent
return root
@property
def context(self):
"""
Returns the context as passed to the root serializer on initialization.
"""
return getattr(self.root, '_context', {})
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def __new__(cls, *args, **kwargs):
"""
When a field is instantiated, we store the arguments that were used,
so that we can present a helpful representation of the object.
"""
instance = super(Field, cls).__new__(cls)
instance._args = args
instance._kwargs = kwargs
return instance
def __deepcopy__(self, memo):
"""
When cloning fields we instantiate using the arguments it was
originally created with, rather than copying the complete state.
"""
args = copy.deepcopy(self._args)
kwargs = dict(self._kwargs)
# Bit ugly, but we need to special case 'validators' as Django's
# RegexValidator does not support deepcopy.
# We treat validator callables as immutable objects.
# See https://github.com/tomchristie/django-rest-framework/issues/1954
validators = kwargs.pop('validators', None)
kwargs = copy.deepcopy(kwargs)
if validators is not None:
kwargs['validators'] = validators
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return self.__class__(*args, **kwargs)
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def __repr__(self):
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"""
Fields are represented using their initial calling arguments.
This allows us to create descriptive representations for serializer
instances that show all the declared fields on the serializer.
"""
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return representation.field_repr(self)
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# Boolean types...
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class BooleanField(Field):
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default_error_messages = {
'invalid': _('`{input}` is not a valid boolean.')
}
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default_empty_html = False
initial = False
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TRUE_VALUES = set(('t', 'T', 'true', 'True', 'TRUE', '1', 1, True))
FALSE_VALUES = set(('f', 'F', 'false', 'False', 'FALSE', '0', 0, 0.0, False))
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def __init__(self, **kwargs):
assert 'allow_null' not in kwargs, '`allow_null` is not a valid option. Use `NullBooleanField` instead.'
super(BooleanField, self).__init__(**kwargs)
def to_internal_value(self, data):
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if data in self.TRUE_VALUES:
return True
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elif data in self.FALSE_VALUES:
return False
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self.fail('invalid', input=data)
def to_representation(self, value):
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if value in self.TRUE_VALUES:
return True
elif value in self.FALSE_VALUES:
return False
return bool(value)
class NullBooleanField(Field):
default_error_messages = {
'invalid': _('`{input}` is not a valid boolean.')
}
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initial = None
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TRUE_VALUES = set(('t', 'T', 'true', 'True', 'TRUE', '1', 1, True))
FALSE_VALUES = set(('f', 'F', 'false', 'False', 'FALSE', '0', 0, 0.0, False))
NULL_VALUES = set(('n', 'N', 'null', 'Null', 'NULL', '', None))
def __init__(self, **kwargs):
assert 'allow_null' not in kwargs, '`allow_null` is not a valid option.'
kwargs['allow_null'] = True
super(NullBooleanField, self).__init__(**kwargs)
def to_internal_value(self, data):
if data in self.TRUE_VALUES:
return True
elif data in self.FALSE_VALUES:
return False
elif data in self.NULL_VALUES:
return None
self.fail('invalid', input=data)
def to_representation(self, value):
if value in self.NULL_VALUES:
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return None
if value in self.TRUE_VALUES:
return True
elif value in self.FALSE_VALUES:
return False
return bool(value)
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# String types...
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class CharField(Field):
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default_error_messages = {
'blank': _('This field may not be blank.'),
'max_length': _('Ensure this field has no more than {max_length} characters.'),
'min_length': _('Ensure this field has no more than {min_length} characters.')
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}
initial = ''
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coerce_blank_to_null = False
default_empty_html = ''
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def __init__(self, **kwargs):
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self.allow_blank = kwargs.pop('allow_blank', False)
max_length = kwargs.pop('max_length', None)
min_length = kwargs.pop('min_length', None)
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super(CharField, self).__init__(**kwargs)
if max_length is not None:
message = self.error_messages['max_length'].format(max_length=max_length)
self.validators.append(MaxLengthValidator(max_length, message=message))
if min_length is not None:
message = self.error_messages['min_length'].format(min_length=min_length)
self.validators.append(MinLengthValidator(min_length, message=message))
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def run_validation(self, data=empty):
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# Test for the empty string here so that it does not get validated,
# and so that subclasses do not need to handle it explicitly
# inside the `to_internal_value()` method.
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if data == '':
if not self.allow_blank:
self.fail('blank')
return ''
return super(CharField, self).run_validation(data)
def to_internal_value(self, data):
return six.text_type(data)
def to_representation(self, value):
return six.text_type(value)
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class EmailField(CharField):
default_error_messages = {
'invalid': _('Enter a valid email address.')
}
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def __init__(self, **kwargs):
super(EmailField, self).__init__(**kwargs)
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validator = EmailValidator(message=self.error_messages['invalid'])
self.validators.append(validator)
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def to_internal_value(self, data):
return six.text_type(data).strip()
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def to_representation(self, value):
return six.text_type(value).strip()
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class RegexField(CharField):
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default_error_messages = {
'invalid': _('This value does not match the required pattern.')
}
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def __init__(self, regex, **kwargs):
super(RegexField, self).__init__(**kwargs)
validator = RegexValidator(regex, message=self.error_messages['invalid'])
self.validators.append(validator)
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class SlugField(CharField):
default_error_messages = {
'invalid': _("Enter a valid 'slug' consisting of letters, numbers, underscores or hyphens.")
}
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def __init__(self, **kwargs):
super(SlugField, self).__init__(**kwargs)
slug_regex = re.compile(r'^[-a-zA-Z0-9_]+$')
validator = RegexValidator(slug_regex, message=self.error_messages['invalid'])
self.validators.append(validator)
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class URLField(CharField):
default_error_messages = {
'invalid': _("Enter a valid URL.")
}
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def __init__(self, **kwargs):
super(URLField, self).__init__(**kwargs)
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validator = URLValidator(message=self.error_messages['invalid'])
self.validators.append(validator)
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# Number types...
class IntegerField(Field):
default_error_messages = {
'invalid': _('A valid integer is required.'),
'max_value': _('Ensure this value is less than or equal to {max_value}.'),
'min_value': _('Ensure this value is greater than or equal to {min_value}.'),
'max_string_length': _('String value too large')
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}
MAX_STRING_LENGTH = 1000 # Guard against malicious string inputs.
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def __init__(self, **kwargs):
max_value = kwargs.pop('max_value', None)
min_value = kwargs.pop('min_value', None)
super(IntegerField, self).__init__(**kwargs)
if max_value is not None:
message = self.error_messages['max_value'].format(max_value=max_value)
self.validators.append(MaxValueValidator(max_value, message=message))
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if min_value is not None:
message = self.error_messages['min_value'].format(min_value=min_value)
self.validators.append(MinValueValidator(min_value, message=message))
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def to_internal_value(self, data):
if isinstance(data, six.text_type) and len(data) > self.MAX_STRING_LENGTH:
self.fail('max_string_length')
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try:
data = int(data)
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except (ValueError, TypeError):
self.fail('invalid')
return data
def to_representation(self, value):
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return int(value)
class FloatField(Field):
default_error_messages = {
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'invalid': _("A valid number is required."),
'max_value': _('Ensure this value is less than or equal to {max_value}.'),
'min_value': _('Ensure this value is greater than or equal to {min_value}.'),
'max_string_length': _('String value too large')
}
MAX_STRING_LENGTH = 1000 # Guard against malicious string inputs.
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def __init__(self, **kwargs):
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max_value = kwargs.pop('max_value', None)
min_value = kwargs.pop('min_value', None)
super(FloatField, self).__init__(**kwargs)
if max_value is not None:
message = self.error_messages['max_value'].format(max_value=max_value)
self.validators.append(MaxValueValidator(max_value, message=message))
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if min_value is not None:
message = self.error_messages['min_value'].format(min_value=min_value)
self.validators.append(MinValueValidator(min_value, message=message))
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def to_internal_value(self, data):
if isinstance(data, six.text_type) and len(data) > self.MAX_STRING_LENGTH:
self.fail('max_string_length')
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try:
return float(data)
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except (TypeError, ValueError):
self.fail('invalid')
def to_representation(self, value):
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return float(value)
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class DecimalField(Field):
default_error_messages = {
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'invalid': _('A valid number is required.'),
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'max_value': _('Ensure this value is less than or equal to {max_value}.'),
'min_value': _('Ensure this value is greater than or equal to {min_value}.'),
'max_digits': _('Ensure that there are no more than {max_digits} digits in total.'),
'max_decimal_places': _('Ensure that there are no more than {max_decimal_places} decimal places.'),
'max_whole_digits': _('Ensure that there are no more than {max_whole_digits} digits before the decimal point.'),
'max_string_length': _('String value too large')
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}
MAX_STRING_LENGTH = 1000 # Guard against malicious string inputs.
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coerce_to_string = api_settings.COERCE_DECIMAL_TO_STRING
def __init__(self, max_digits, decimal_places, coerce_to_string=None, max_value=None, min_value=None, **kwargs):
self.max_digits = max_digits
self.decimal_places = decimal_places
self.coerce_to_string = coerce_to_string if (coerce_to_string is not None) else self.coerce_to_string
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super(DecimalField, self).__init__(**kwargs)
if max_value is not None:
message = self.error_messages['max_value'].format(max_value=max_value)
self.validators.append(MaxValueValidator(max_value, message=message))
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if min_value is not None:
message = self.error_messages['min_value'].format(min_value=min_value)
self.validators.append(MinValueValidator(min_value, message=message))
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def to_internal_value(self, data):
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"""
Validates that the input is a decimal number. Returns a Decimal
instance. Returns None for empty values. Ensures that there are no more
than max_digits in the number, and no more than decimal_places digits
after the decimal point.
"""
data = smart_text(data).strip()
if len(data) > self.MAX_STRING_LENGTH:
self.fail('max_string_length')
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try:
value = decimal.Decimal(data)
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except decimal.DecimalException:
self.fail('invalid')
# Check for NaN. It is the only value that isn't equal to itself,
# so we can use this to identify NaN values.
if value != value:
self.fail('invalid')
# Check for infinity and negative infinity.
if value in (decimal.Decimal('Inf'), decimal.Decimal('-Inf')):
self.fail('invalid')
sign, digittuple, exponent = value.as_tuple()
decimals = abs(exponent)
# digittuple doesn't include any leading zeros.
digits = len(digittuple)
if decimals > digits:
# We have leading zeros up to or past the decimal point. Count
# everything past the decimal point as a digit. We do not count
# 0 before the decimal point as a digit since that would mean
# we would not allow max_digits = decimal_places.
digits = decimals
whole_digits = digits - decimals
if self.max_digits is not None and digits > self.max_digits:
self.fail('max_digits', max_digits=self.max_digits)
if self.decimal_places is not None and decimals > self.decimal_places:
self.fail('max_decimal_places', max_decimal_places=self.decimal_places)
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if self.max_digits is not None and self.decimal_places is not None and whole_digits > (self.max_digits - self.decimal_places):
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self.fail('max_whole_digits', max_whole_digits=self.max_digits - self.decimal_places)
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return value
def to_representation(self, value):
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if not isinstance(value, decimal.Decimal):
value = decimal.Decimal(six.text_type(value).strip())
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context = decimal.getcontext().copy()
context.prec = self.max_digits
quantized = value.quantize(
decimal.Decimal('.1') ** self.decimal_places,
context=context
)
if not self.coerce_to_string:
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return quantized
return '{0:f}'.format(quantized)
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# Date & time fields...
class DateTimeField(Field):
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default_error_messages = {
'invalid': _('Datetime has wrong format. Use one of these formats instead: {format}'),
'date': _('Expected a datetime but got a date.'),
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}
format = api_settings.DATETIME_FORMAT
input_formats = api_settings.DATETIME_INPUT_FORMATS
default_timezone = timezone.get_default_timezone() if settings.USE_TZ else None
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def __init__(self, format=empty, input_formats=None, default_timezone=None, *args, **kwargs):
self.format = format if format is not empty else self.format
self.input_formats = input_formats if input_formats is not None else self.input_formats
self.default_timezone = default_timezone if default_timezone is not None else self.default_timezone
super(DateTimeField, self).__init__(*args, **kwargs)
def enforce_timezone(self, value):
"""
When `self.default_timezone` is `None`, always return naive datetimes.
When `self.default_timezone` is not `None`, always return aware datetimes.
"""
if (self.default_timezone is not None) and not timezone.is_aware(value):
return timezone.make_aware(value, self.default_timezone)
elif (self.default_timezone is None) and timezone.is_aware(value):
return timezone.make_naive(value, timezone.UTC())
return value
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def to_internal_value(self, value):
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if isinstance(value, datetime.date) and not isinstance(value, datetime.datetime):
self.fail('date')
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if isinstance(value, datetime.datetime):
return self.enforce_timezone(value)
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for format in self.input_formats:
if format.lower() == ISO_8601:
try:
parsed = parse_datetime(value)
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except (ValueError, TypeError):
pass
else:
if parsed is not None:
return self.enforce_timezone(parsed)
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else:
try:
parsed = datetime.datetime.strptime(value, format)
except (ValueError, TypeError):
pass
else:
return self.enforce_timezone(parsed)
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humanized_format = humanize_datetime.datetime_formats(self.input_formats)
self.fail('invalid', format=humanized_format)
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def to_representation(self, value):
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if self.format is None:
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return value
if self.format.lower() == ISO_8601:
value = value.isoformat()
if value.endswith('+00:00'):
value = value[:-6] + 'Z'
return value
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return value.strftime(self.format)
class DateField(Field):
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default_error_messages = {
'invalid': _('Date has wrong format. Use one of these formats instead: {format}'),
'datetime': _('Expected a date but got a datetime.'),
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}
format = api_settings.DATE_FORMAT
input_formats = api_settings.DATE_INPUT_FORMATS
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def __init__(self, format=empty, input_formats=None, *args, **kwargs):
self.format = format if format is not empty else self.format
self.input_formats = input_formats if input_formats is not None else self.input_formats
super(DateField, self).__init__(*args, **kwargs)
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def to_internal_value(self, value):
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if isinstance(value, datetime.datetime):
self.fail('datetime')
if isinstance(value, datetime.date):
return value
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for format in self.input_formats:
if format.lower() == ISO_8601:
try:
parsed = parse_date(value)
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except (ValueError, TypeError):
pass
else:
if parsed is not None:
return parsed
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else:
try:
parsed = datetime.datetime.strptime(value, format)
except (ValueError, TypeError):
pass
else:
return parsed.date()
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humanized_format = humanize_datetime.date_formats(self.input_formats)
self.fail('invalid', format=humanized_format)
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def to_representation(self, value):
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if self.format is None:
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return value
# Applying a `DateField` to a datetime value is almost always
# not a sensible thing to do, as it means naively dropping
# any explicit or implicit timezone info.
assert not isinstance(value, datetime.datetime), (
'Expected a `date`, but got a `datetime`. Refusing to coerce, '
'as this may mean losing timezone information. Use a custom '
'read-only field and deal with timezone issues explicitly.'
)
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if self.format.lower() == ISO_8601:
return value.isoformat()
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return value.strftime(self.format)
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class TimeField(Field):
default_error_messages = {
'invalid': _('Time has wrong format. Use one of these formats instead: {format}'),
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}
format = api_settings.TIME_FORMAT
input_formats = api_settings.TIME_INPUT_FORMATS
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def __init__(self, format=empty, input_formats=None, *args, **kwargs):
self.format = format if format is not empty else self.format
self.input_formats = input_formats if input_formats is not None else self.input_formats
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super(TimeField, self).__init__(*args, **kwargs)
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def to_internal_value(self, value):
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if isinstance(value, datetime.time):
return value
for format in self.input_formats:
if format.lower() == ISO_8601:
try:
parsed = parse_time(value)
except (ValueError, TypeError):
pass
else:
if parsed is not None:
return parsed
else:
try:
parsed = datetime.datetime.strptime(value, format)
except (ValueError, TypeError):
pass
else:
return parsed.time()
humanized_format = humanize_datetime.time_formats(self.input_formats)
self.fail('invalid', format=humanized_format)
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def to_representation(self, value):
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if self.format is None:
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return value
# Applying a `TimeField` to a datetime value is almost always
# not a sensible thing to do, as it means naively dropping
# any explicit or implicit timezone info.
assert not isinstance(value, datetime.datetime), (
'Expected a `time`, but got a `datetime`. Refusing to coerce, '
'as this may mean losing timezone information. Use a custom '
'read-only field and deal with timezone issues explicitly.'
)
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if self.format.lower() == ISO_8601:
return value.isoformat()
return value.strftime(self.format)
# Choice types...
class ChoiceField(Field):
default_error_messages = {
'invalid_choice': _('`{input}` is not a valid choice.')
}
def __init__(self, choices, **kwargs):
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# Allow either single or paired choices style:
# choices = [1, 2, 3]
# choices = [(1, 'First'), (2, 'Second'), (3, 'Third')]
pairs = [
isinstance(item, (list, tuple)) and len(item) == 2
for item in choices
]
if all(pairs):
self.choices = OrderedDict([(key, display_value) for key, display_value in choices])
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else:
self.choices = OrderedDict([(item, item) for item in choices])
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# Map the string representation of choices to the underlying value.
# Allows us to deal with eg. integer choices while supporting either
# integer or string input, but still get the correct datatype out.
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self.choice_strings_to_values = dict([
(six.text_type(key), key) for key in self.choices.keys()
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])
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self.allow_blank = kwargs.pop('allow_blank', False)
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super(ChoiceField, self).__init__(**kwargs)
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def to_internal_value(self, data):
if data == '' and self.allow_blank:
return ''
try:
return self.choice_strings_to_values[six.text_type(data)]
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except KeyError:
self.fail('invalid_choice', input=data)
def to_representation(self, value):
if value in ('', None):
return value
return self.choice_strings_to_values[six.text_type(value)]
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2013-04-15 14:40:18 +04:00
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class MultipleChoiceField(ChoiceField):
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default_error_messages = {
'invalid_choice': _('`{input}` is not a valid choice.'),
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'not_a_list': _('Expected a list of items but got type `{input_type}`.')
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}
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default_empty_html = []
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def get_value(self, dictionary):
# We override the default field access in order to support
# lists in HTML forms.
if html.is_html_input(dictionary):
return dictionary.getlist(self.field_name)
return dictionary.get(self.field_name, empty)
def to_internal_value(self, data):
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if isinstance(data, type('')) or not hasattr(data, '__iter__'):
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self.fail('not_a_list', input_type=type(data).__name__)
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return set([
super(MultipleChoiceField, self).to_internal_value(item)
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for item in data
])
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def to_representation(self, value):
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return set([
self.choice_strings_to_values[six.text_type(item)] for item in value
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])
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2012-11-19 21:22:17 +04:00
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# File types...
class FileField(Field):
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default_error_messages = {
'required': _("No file was submitted."),
'invalid': _("The submitted data was not a file. Check the encoding type on the form."),
'no_name': _("No filename could be determined."),
'empty': _("The submitted file is empty."),
'max_length': _('Ensure this filename has at most {max_length} characters (it has {length}).'),
}
use_url = api_settings.UPLOADED_FILES_USE_URL
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def __init__(self, *args, **kwargs):
self.max_length = kwargs.pop('max_length', None)
self.allow_empty_file = kwargs.pop('allow_empty_file', False)
self.use_url = kwargs.pop('use_url', self.use_url)
super(FileField, self).__init__(*args, **kwargs)
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def to_internal_value(self, data):
try:
# `UploadedFile` objects should have name and size attributes.
file_name = data.name
file_size = data.size
except AttributeError:
self.fail('invalid')
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if not file_name:
self.fail('no_name')
if not self.allow_empty_file and not file_size:
self.fail('empty')
if self.max_length and len(file_name) > self.max_length:
self.fail('max_length', max_length=self.max_length, length=len(file_name))
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return data
def to_representation(self, value):
if self.use_url:
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if not value:
return None
url = value.url
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request = self.context.get('request', None)
if request is not None:
return request.build_absolute_uri(url)
return url
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return value.name
class ImageField(FileField):
default_error_messages = {
'invalid_image': _(
'Upload a valid image. The file you uploaded was either not an '
'image or a corrupted image.'
),
}
def __init__(self, *args, **kwargs):
self._DjangoImageField = kwargs.pop('_DjangoImageField', DjangoImageField)
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super(ImageField, self).__init__(*args, **kwargs)
def to_internal_value(self, data):
# Image validation is a bit grungy, so we'll just outright
# defer to Django's implementation so we don't need to
# consider it, or treat PIL as a test dependency.
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file_object = super(ImageField, self).to_internal_value(data)
django_field = self._DjangoImageField()
django_field.error_messages = self.error_messages
django_field.to_python(file_object)
return file_object
# Composite field types...
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class ListField(Field):
child = None
initial = []
default_error_messages = {
'not_a_list': _('Expected a list of items but got type `{input_type}`')
}
def __init__(self, *args, **kwargs):
self.child = kwargs.pop('child', copy.deepcopy(self.child))
assert self.child is not None, '`child` is a required argument.'
assert not inspect.isclass(self.child), '`child` has not been instantiated.'
super(ListField, self).__init__(*args, **kwargs)
self.child.bind(field_name='', parent=self)
def get_value(self, dictionary):
# We override the default field access in order to support
# lists in HTML forms.
if html.is_html_input(dictionary):
return html.parse_html_list(dictionary, prefix=self.field_name)
return dictionary.get(self.field_name, empty)
def to_internal_value(self, data):
"""
List of dicts of native values <- List of dicts of primitive datatypes.
"""
if html.is_html_input(data):
data = html.parse_html_list(data)
if isinstance(data, type('')) or not hasattr(data, '__iter__'):
self.fail('not_a_list', input_type=type(data).__name__)
return [self.child.run_validation(item) for item in data]
def to_representation(self, data):
"""
List of object instances -> List of dicts of primitive datatypes.
"""
return [self.child.to_representation(item) for item in data]
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# Miscellaneous field types...
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class ReadOnlyField(Field):
"""
A read-only field that simply returns the field value.
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If the field is a method with no parameters, the method will be called
and it's return value used as the representation.
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For example, the following would call `get_expiry_date()` on the object:
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class ExampleSerializer(self):
expiry_date = ReadOnlyField(source='get_expiry_date')
"""
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def __init__(self, **kwargs):
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kwargs['read_only'] = True
super(ReadOnlyField, self).__init__(**kwargs)
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def to_representation(self, value):
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return value
class HiddenField(Field):
"""
A hidden field does not take input from the user, or present any output,
but it does populate a field in `validated_data`, based on its default
value. This is particularly useful when we have a `unique_for_date`
2014-11-10 17:44:26 +03:00
constraint on a pair of fields, as we need some way to include the date in
the validated data.
"""
def __init__(self, **kwargs):
assert 'default' in kwargs, 'default is a required argument.'
kwargs['write_only'] = True
super(HiddenField, self).__init__(**kwargs)
def get_value(self, dictionary):
# We always use the default value for `HiddenField`.
# User input is never provided or accepted.
return empty
def to_internal_value(self, data):
return data
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class SerializerMethodField(Field):
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"""
A read-only field that get its representation from calling a method on the
parent serializer class. The method called will be of the form
"get_{field_name}", and should take a single argument, which is the
object being serialized.
For example:
class ExampleSerializer(self):
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extra_info = SerializerMethodField()
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def get_extra_info(self, obj):
return ... # Calculate some data to return.
"""
def __init__(self, method_name=None, **kwargs):
self.method_name = method_name
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kwargs['source'] = '*'
kwargs['read_only'] = True
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super(SerializerMethodField, self).__init__(**kwargs)
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def bind(self, field_name, parent):
# In order to enforce a consistent style, we error if a redundant
# 'method_name' argument has been used. For example:
# my_field = serializer.CharField(source='my_field')
default_method_name = 'get_{field_name}'.format(field_name=field_name)
assert self.method_name != default_method_name, (
"It is redundant to specify `%s` on SerializerMethodField '%s' in "
"serializer '%s', because it is the same as the default method name. "
"Remove the `method_name` argument." %
(self.method_name, field_name, parent.__class__.__name__)
)
# The method name should default to `get_{field_name}`.
if self.method_name is None:
self.method_name = default_method_name
super(SerializerMethodField, self).bind(field_name, parent)
def to_representation(self, value):
method = getattr(self.parent, self.method_name)
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return method(value)
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class ModelField(Field):
"""
A generic field that can be used against an arbitrary model field.
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This is used by `ModelSerializer` when dealing with custom model fields,
that do not have a serializer field to be mapped to.
"""
default_error_messages = {
'max_length': _('Ensure this field has no more than {max_length} characters.'),
}
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def __init__(self, model_field, **kwargs):
self.model_field = model_field
# The `max_length` option is supported by Django's base `Field` class,
# so we'd better support it here.
max_length = kwargs.pop('max_length', None)
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super(ModelField, self).__init__(**kwargs)
if max_length is not None:
message = self.error_messages['max_length'].format(max_length=max_length)
self.validators.append(MaxLengthValidator(max_length, message=message))
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def to_internal_value(self, data):
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rel = getattr(self.model_field, 'rel', None)
if rel is not None:
return rel.to._meta.get_field(rel.field_name).to_python(data)
return self.model_field.to_python(data)
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def get_attribute(self, obj):
# We pass the object instance onto `to_representation`,
# not just the field attribute.
return obj
def to_representation(self, obj):
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value = self.model_field._get_val_from_obj(obj)
if is_protected_type(value):
return value
return self.model_field.value_to_string(obj)