django-rest-framework/tests/test_fields.py

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2014-09-22 20:46:02 +04:00
from decimal import Decimal
from django.utils import timezone
from rest_framework import fields
import datetime
import django
import pytest
2014-09-23 17:15:00 +04:00
# Tests for field keyword arguments and core functionality.
# ---------------------------------------------------------
class TestFieldOptions:
def test_required(self):
"""
By default a field must be included in the input.
"""
field = fields.IntegerField()
with pytest.raises(fields.ValidationError) as exc_info:
field.run_validation()
assert exc_info.value.messages == ['This field is required.']
def test_not_required(self):
"""
If `required=False` then a field may be omitted from the input.
"""
field = fields.IntegerField(required=False)
with pytest.raises(fields.SkipField):
field.run_validation()
def test_disallow_null(self):
"""
By default `None` is not a valid input.
"""
field = fields.IntegerField()
with pytest.raises(fields.ValidationError) as exc_info:
field.run_validation(None)
assert exc_info.value.messages == ['This field may not be null.']
def test_allow_null(self):
"""
If `allow_null=True` then `None` is a valid input.
"""
field = fields.IntegerField(allow_null=True)
output = field.run_validation(None)
assert output is None
def test_disallow_blank(self):
"""
By default '' is not a valid input.
"""
field = fields.CharField()
with pytest.raises(fields.ValidationError) as exc_info:
field.run_validation('')
assert exc_info.value.messages == ['This field may not be blank.']
def test_allow_blank(self):
"""
If `allow_blank=True` then '' is a valid input.
"""
field = fields.CharField(allow_blank=True)
output = field.run_validation('')
assert output is ''
def test_default(self):
"""
If `default` is set, then omitted values get the default input.
"""
field = fields.IntegerField(default=123)
output = field.run_validation()
assert output is 123
# Tests for field input and output values.
# ----------------------------------------
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def get_items(mapping_or_list_of_two_tuples):
# Tests accept either lists of two tuples, or dictionaries.
if isinstance(mapping_or_list_of_two_tuples, dict):
# {value: expected}
return mapping_or_list_of_two_tuples.items()
# [(value, expected), ...]
return mapping_or_list_of_two_tuples
class FieldValues:
"""
Base class for testing valid and invalid input values.
"""
def test_valid_inputs(self):
"""
Ensure that valid values return the expected validated data.
"""
for input_value, expected_output in get_items(self.valid_inputs):
assert self.field.run_validation(input_value) == expected_output
def test_invalid_inputs(self):
"""
Ensure that invalid values raise the expected validation error.
"""
for input_value, expected_failure in get_items(self.invalid_inputs):
with pytest.raises(fields.ValidationError) as exc_info:
self.field.run_validation(input_value)
assert exc_info.value.messages == expected_failure
def test_outputs(self):
for output_value, expected_output in get_items(self.outputs):
assert self.field.to_representation(output_value) == expected_output
# Boolean types...
class TestBooleanField(FieldValues):
"""
Valid and invalid values for `BooleanField`.
"""
valid_inputs = {
'true': True,
'false': False,
'1': True,
'0': False,
1: True,
0: False,
True: True,
False: False,
}
invalid_inputs = {
'foo': ['`foo` is not a valid boolean.']
}
outputs = {
'true': True,
'false': False,
'1': True,
'0': False,
1: True,
0: False,
True: True,
False: False,
'other': True
}
field = fields.BooleanField()
# String types...
class TestCharField(FieldValues):
"""
Valid and invalid values for `CharField`.
"""
valid_inputs = {
1: '1',
'abc': 'abc'
}
invalid_inputs = {
'': ['This field may not be blank.']
}
outputs = {
1: '1',
'abc': 'abc'
}
field = fields.CharField()
class TestEmailField(FieldValues):
"""
Valid and invalid values for `EmailField`.
"""
valid_inputs = {
'example@example.com': 'example@example.com',
' example@example.com ': 'example@example.com',
}
invalid_inputs = {
'examplecom': ['Enter a valid email address.']
}
outputs = {}
field = fields.EmailField()
class TestRegexField(FieldValues):
"""
Valid and invalid values for `RegexField`.
"""
valid_inputs = {
'a9': 'a9',
}
invalid_inputs = {
'A9': ["This value does not match the required pattern."]
}
outputs = {}
field = fields.RegexField(regex='[a-z][0-9]')
class TestSlugField(FieldValues):
"""
Valid and invalid values for `SlugField`.
"""
valid_inputs = {
'slug-99': 'slug-99',
}
invalid_inputs = {
'slug 99': ["Enter a valid 'slug' consisting of letters, numbers, underscores or hyphens."]
}
outputs = {}
field = fields.SlugField()
class TestURLField(FieldValues):
"""
Valid and invalid values for `URLField`.
"""
valid_inputs = {
'http://example.com': 'http://example.com',
}
invalid_inputs = {
'example.com': ['Enter a valid URL.']
}
outputs = {}
field = fields.URLField()
# Number types...
class TestIntegerField(FieldValues):
"""
Valid and invalid values for `IntegerField`.
"""
valid_inputs = {
'1': 1,
'0': 0,
1: 1,
0: 0,
1.0: 1,
0.0: 0
}
invalid_inputs = {
'abc': ['A valid integer is required.']
}
outputs = {
'1': 1,
'0': 0,
1: 1,
0: 0,
1.0: 1,
0.0: 0
}
field = fields.IntegerField()
class TestMinMaxIntegerField(FieldValues):
"""
Valid and invalid values for `IntegerField` with min and max limits.
"""
valid_inputs = {
'1': 1,
'3': 3,
1: 1,
3: 3,
}
invalid_inputs = {
0: ['Ensure this value is greater than or equal to 1.'],
4: ['Ensure this value is less than or equal to 3.'],
'0': ['Ensure this value is greater than or equal to 1.'],
'4': ['Ensure this value is less than or equal to 3.'],
}
outputs = {}
field = fields.IntegerField(min_value=1, max_value=3)
class TestFloatField(FieldValues):
"""
Valid and invalid values for `FloatField`.
"""
valid_inputs = {
'1': 1.0,
'0': 0.0,
1: 1.0,
0: 0.0,
1.0: 1.0,
0.0: 0.0,
}
invalid_inputs = {
'abc': ["A valid number is required."]
}
outputs = {
'1': 1.0,
'0': 0.0,
1: 1.0,
0: 0.0,
1.0: 1.0,
0.0: 0.0,
}
field = fields.FloatField()
class TestMinMaxFloatField(FieldValues):
"""
Valid and invalid values for `FloatField` with min and max limits.
"""
valid_inputs = {
'1': 1,
'3': 3,
1: 1,
3: 3,
1.0: 1.0,
3.0: 3.0,
}
invalid_inputs = {
0.9: ['Ensure this value is greater than or equal to 1.'],
3.1: ['Ensure this value is less than or equal to 3.'],
'0.0': ['Ensure this value is greater than or equal to 1.'],
'3.1': ['Ensure this value is less than or equal to 3.'],
}
outputs = {}
field = fields.FloatField(min_value=1, max_value=3)
class TestDecimalField(FieldValues):
"""
Valid and invalid values for `DecimalField`.
"""
valid_inputs = {
'12.3': Decimal('12.3'),
'0.1': Decimal('0.1'),
10: Decimal('10'),
0: Decimal('0'),
12.3: Decimal('12.3'),
0.1: Decimal('0.1'),
}
invalid_inputs = (
('abc', ["A valid number is required."]),
(Decimal('Nan'), ["A valid number is required."]),
(Decimal('Inf'), ["A valid number is required."]),
('12.345', ["Ensure that there are no more than 3 digits in total."]),
('0.01', ["Ensure that there are no more than 1 decimal places."]),
(123, ["Ensure that there are no more than 2 digits before the decimal point."])
)
outputs = {
'1': '1.0',
'0': '0.0',
'1.09': '1.1',
'0.04': '0.0',
1: '1.0',
0: '0.0',
Decimal('1.0'): '1.0',
Decimal('0.0'): '0.0',
Decimal('1.09'): '1.1',
Decimal('0.04'): '0.0',
}
field = fields.DecimalField(max_digits=3, decimal_places=1)
class TestMinMaxDecimalField(FieldValues):
"""
Valid and invalid values for `DecimalField` with min and max limits.
"""
valid_inputs = {
'10.0': Decimal('10.0'),
'20.0': Decimal('20.0'),
}
invalid_inputs = {
'9.9': ['Ensure this value is greater than or equal to 10.'],
'20.1': ['Ensure this value is less than or equal to 20.'],
}
outputs = {}
field = fields.DecimalField(
max_digits=3, decimal_places=1,
min_value=10, max_value=20
)
class TestNoStringCoercionDecimalField(FieldValues):
"""
Output values for `DecimalField` with `coerce_to_string=False`.
"""
valid_inputs = {}
invalid_inputs = {}
outputs = {
1.09: Decimal('1.1'),
0.04: Decimal('0.0'),
'1.09': Decimal('1.1'),
'0.04': Decimal('0.0'),
Decimal('1.09'): Decimal('1.1'),
Decimal('0.04'): Decimal('0.0'),
}
field = fields.DecimalField(
max_digits=3, decimal_places=1,
coerce_to_string=False
)
# Date & time fields...
class TestDateField(FieldValues):
"""
Valid and invalid values for `DateField`.
"""
valid_inputs = {
'2001-01-01': datetime.date(2001, 1, 1),
datetime.date(2001, 1, 1): datetime.date(2001, 1, 1),
}
invalid_inputs = {
'abc': ['Date has wrong format. Use one of these formats instead: YYYY[-MM[-DD]]'],
'2001-99-99': ['Date has wrong format. Use one of these formats instead: YYYY[-MM[-DD]]'],
datetime.datetime(2001, 1, 1, 12, 00): ['Expected a date but got a datetime.'],
}
outputs = {
datetime.date(2001, 1, 1): '2001-01-01',
}
field = fields.DateField()
class TestCustomInputFormatDateField(FieldValues):
"""
Valid and invalid values for `DateField` with a cutom input format.
"""
valid_inputs = {
'1 Jan 2001': datetime.date(2001, 1, 1),
}
invalid_inputs = {
'2001-01-01': ['Date has wrong format. Use one of these formats instead: DD [Jan-Dec] YYYY']
}
outputs = {}
field = fields.DateField(input_formats=['%d %b %Y'])
class TestCustomOutputFormatDateField(FieldValues):
"""
Values for `DateField` with a custom output format.
"""
valid_inputs = {}
invalid_inputs = {}
outputs = {
datetime.date(2001, 1, 1): '01 Jan 2001'
}
field = fields.DateField(format='%d %b %Y')
class TestNoOutputFormatDateField(FieldValues):
"""
Values for `DateField` with no output format.
"""
valid_inputs = {}
invalid_inputs = {}
outputs = {
datetime.date(2001, 1, 1): datetime.date(2001, 1, 1)
}
field = fields.DateField(format=None)
class TestDateTimeField(FieldValues):
"""
Valid and invalid values for `DateTimeField`.
"""
valid_inputs = {
'2001-01-01 13:00': datetime.datetime(2001, 1, 1, 13, 00, tzinfo=timezone.UTC()),
'2001-01-01T13:00': datetime.datetime(2001, 1, 1, 13, 00, tzinfo=timezone.UTC()),
'2001-01-01T13:00Z': datetime.datetime(2001, 1, 1, 13, 00, tzinfo=timezone.UTC()),
datetime.datetime(2001, 1, 1, 13, 00): datetime.datetime(2001, 1, 1, 13, 00, tzinfo=timezone.UTC()),
datetime.datetime(2001, 1, 1, 13, 00, tzinfo=timezone.UTC()): datetime.datetime(2001, 1, 1, 13, 00, tzinfo=timezone.UTC()),
# Note that 1.4 does not support timezone string parsing.
'2001-01-01T14:00+01:00' if (django.VERSION > (1, 4)) else '2001-01-01T13:00Z': datetime.datetime(2001, 1, 1, 13, 00, tzinfo=timezone.UTC())
}
invalid_inputs = {
'abc': ['Datetime has wrong format. Use one of these formats instead: YYYY-MM-DDThh:mm[:ss[.uuuuuu]][+HH:MM|-HH:MM|Z]'],
'2001-99-99T99:00': ['Datetime has wrong format. Use one of these formats instead: YYYY-MM-DDThh:mm[:ss[.uuuuuu]][+HH:MM|-HH:MM|Z]'],
datetime.date(2001, 1, 1): ['Expected a datetime but got a date.'],
}
outputs = {
datetime.datetime(2001, 1, 1, 13, 00): '2001-01-01T13:00:00',
datetime.datetime(2001, 1, 1, 13, 00, tzinfo=timezone.UTC()): '2001-01-01T13:00:00Z',
}
field = fields.DateTimeField(default_timezone=timezone.UTC())
class TestCustomInputFormatDateTimeField(FieldValues):
"""
Valid and invalid values for `DateTimeField` with a cutom input format.
"""
valid_inputs = {
'1:35pm, 1 Jan 2001': datetime.datetime(2001, 1, 1, 13, 35, tzinfo=timezone.UTC()),
}
invalid_inputs = {
'2001-01-01T20:50': ['Datetime has wrong format. Use one of these formats instead: hh:mm[AM|PM], DD [Jan-Dec] YYYY']
}
outputs = {}
field = fields.DateTimeField(default_timezone=timezone.UTC(), input_formats=['%I:%M%p, %d %b %Y'])
class TestCustomOutputFormatDateTimeField(FieldValues):
"""
Values for `DateTimeField` with a custom output format.
"""
valid_inputs = {}
invalid_inputs = {}
outputs = {
datetime.datetime(2001, 1, 1, 13, 00): '01:00PM, 01 Jan 2001',
}
field = fields.DateTimeField(format='%I:%M%p, %d %b %Y')
class TestNoOutputFormatDateTimeField(FieldValues):
"""
Values for `DateTimeField` with no output format.
"""
valid_inputs = {}
invalid_inputs = {}
outputs = {
datetime.datetime(2001, 1, 1, 13, 00): datetime.datetime(2001, 1, 1, 13, 00),
}
field = fields.DateTimeField(format=None)
class TestNaiveDateTimeField(FieldValues):
"""
Valid and invalid values for `DateTimeField` with naive datetimes.
"""
valid_inputs = {
datetime.datetime(2001, 1, 1, 13, 00, tzinfo=timezone.UTC()): datetime.datetime(2001, 1, 1, 13, 00),
'2001-01-01 13:00': datetime.datetime(2001, 1, 1, 13, 00),
}
invalid_inputs = {}
outputs = {}
field = fields.DateTimeField(default_timezone=None)
class TestTimeField(FieldValues):
"""
Valid and invalid values for `TimeField`.
"""
valid_inputs = {
'13:00': datetime.time(13, 00),
datetime.time(13, 00): datetime.time(13, 00),
}
invalid_inputs = {
'abc': ['Time has wrong format. Use one of these formats instead: hh:mm[:ss[.uuuuuu]]'],
'99:99': ['Time has wrong format. Use one of these formats instead: hh:mm[:ss[.uuuuuu]]'],
}
outputs = {
datetime.time(13, 00): '13:00:00'
}
field = fields.TimeField()
class TestCustomInputFormatTimeField(FieldValues):
"""
Valid and invalid values for `TimeField` with a custom input format.
"""
valid_inputs = {
'1:00pm': datetime.time(13, 00),
}
invalid_inputs = {
'13:00': ['Time has wrong format. Use one of these formats instead: hh:mm[AM|PM]'],
}
outputs = {}
field = fields.TimeField(input_formats=['%I:%M%p'])
class TestCustomOutputFormatTimeField(FieldValues):
"""
Values for `TimeField` with a custom output format.
"""
valid_inputs = {}
invalid_inputs = {}
outputs = {
datetime.time(13, 00): '01:00PM'
}
field = fields.TimeField(format='%I:%M%p')
class TestNoOutputFormatTimeField(FieldValues):
"""
Values for `TimeField` with a no output format.
"""
valid_inputs = {}
invalid_inputs = {}
outputs = {
datetime.time(13, 00): datetime.time(13, 00)
}
field = fields.TimeField(format=None)
# Choice types...
class TestChoiceField(FieldValues):
"""
Valid and invalid values for `ChoiceField`.
"""
valid_inputs = {
'poor': 'poor',
'medium': 'medium',
'good': 'good',
}
invalid_inputs = {
'amazing': ['`amazing` is not a valid choice.']
}
outputs = {
'good': 'good'
}
field = fields.ChoiceField(
choices=[
('poor', 'Poor quality'),
('medium', 'Medium quality'),
('good', 'Good quality'),
]
)
class TestChoiceFieldWithType(FieldValues):
"""
Valid and invalid values for a `Choice` field that uses an integer type,
instead of a char type.
"""
valid_inputs = {
'1': 1,
3: 3,
}
invalid_inputs = {
5: ['`5` is not a valid choice.'],
'abc': ['`abc` is not a valid choice.']
}
outputs = {
'1': 1,
1: 1
}
field = fields.ChoiceField(
choices=[
(1, 'Poor quality'),
(2, 'Medium quality'),
(3, 'Good quality'),
]
)
class TestChoiceFieldWithListChoices(FieldValues):
"""
Valid and invalid values for a `Choice` field that uses a flat list for the
choices, rather than a list of pairs of (`value`, `description`).
"""
valid_inputs = {
'poor': 'poor',
'medium': 'medium',
'good': 'good',
}
invalid_inputs = {
'awful': ['`awful` is not a valid choice.']
}
outputs = {
'good': 'good'
}
field = fields.ChoiceField(choices=('poor', 'medium', 'good'))
class TestMultipleChoiceField(FieldValues):
"""
Valid and invalid values for `MultipleChoiceField`.
"""
valid_inputs = {
(): set(),
('aircon',): set(['aircon']),
('aircon', 'manual'): set(['aircon', 'manual']),
}
invalid_inputs = {
'abc': ['Expected a list of items but got type `str`'],
('aircon', 'incorrect'): ['`incorrect` is not a valid choice.']
}
outputs = [
(['aircon', 'manual'], set(['aircon', 'manual']))
]
field = fields.MultipleChoiceField(
choices=[
('aircon', 'AirCon'),
('manual', 'Manual drive'),
('diesel', 'Diesel'),
]
)