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import pytest
import django.core.exceptions
import django.core.validators
from django.core.serializers import deserialize, serialize
from django.db import transaction
from django.db.models import Field, Model
from django.test import TestCase
import json
import warnings
from decimal import Decimal
from pint import DimensionalityError, UndefinedUnitError, UnitRegistry
from typing import Type, Union
from quantityfield.fields import (
BigIntegerQuantityField,
DecimalQuantityField,
IntegerQuantityField,
PositiveIntegerQuantityField,
QuantityField,
QuantityFieldMixin,
)
from quantityfield.units import ureg
from tests.dummyapp.models import (
BigIntFieldSaveModel,
CustomUregDecimalHayBale,
CustomUregHayBale,
DecimalFieldSaveModel,
EmptyHayBaleBigInt,
EmptyHayBaleDecimal,
EmptyHayBaleFloat,
EmptyHayBaleInt,
EmptyHayBalePositiveInt,
FieldSaveModel,
FloatFieldSaveModel,
IntFieldSaveModel,
OffsetUnitFloatFieldSaveModel,
)
Quantity = ureg.Quantity
class BaseMixinTestFieldCreate:
# The field that needs to be tested
FIELD: Type[Union[Field, QuantityFieldMixin]]
# Some fields, i.e. the decimal require default kwargs to work properly
DEFAULT_KWARGS = {}
def test_sets_units(self):
test_grams = self.FIELD("gram", **self.DEFAULT_KWARGS)
self.assertEqual(test_grams.units, ureg.gram)
def test_fails_with_unknown_units(self):
with self.assertRaises(UndefinedUnitError):
test_crazy_units = self.FIELD( # noqa: F841
"zinghie", **self.DEFAULT_KWARGS
)
def test_base_units_is_required(self):
with self.assertRaises(TypeError):
no_units = self.FIELD(**self.DEFAULT_KWARGS) # noqa: F841
def test_base_units_set_with_name(self):
okay_units = self.FIELD(base_units="meter", **self.DEFAULT_KWARGS) # noqa: F841
def test_base_units_are_invalid(self):
with self.assertRaises(ValueError):
wrong_units = self.FIELD(None, **self.DEFAULT_KWARGS) # noqa: F841
def test_unit_choices_must_be_valid_units(self):
with self.assertRaises(UndefinedUnitError):
self.FIELD(base_units="mile", unit_choices=["gunzu"], **self.DEFAULT_KWARGS)
def test_unit_choices_must_match_base_dimensionality(self):
with self.assertRaises(DimensionalityError):
self.FIELD(
base_units="gram",
unit_choices=["meter", "ounces"],
**self.DEFAULT_KWARGS
)
class TestFloatFieldCreate(BaseMixinTestFieldCreate, TestCase):
FIELD = QuantityField
class TestIntegerFieldCreate(BaseMixinTestFieldCreate, TestCase):
FIELD = IntegerQuantityField
class TestBigIntegerFieldCreate(BaseMixinTestFieldCreate, TestCase):
FIELD = BigIntegerQuantityField
class TestPositiveIntegerFieldCreate(BaseMixinTestFieldCreate, TestCase):
FIELD = PositiveIntegerQuantityField
class TestDecimalFieldCreate(BaseMixinTestFieldCreate, TestCase):
FIELD = DecimalQuantityField
DEFAULT_KWARGS = {"max_digits": 10, "decimal_places": 2}
@pytest.mark.parametrize(
"max_digits, decimal_places, error",
[
(None, None, "Invalid initialization.*expect.*integers.*"),
(10, None, "Invalid initialization.*expect.*integers.*"),
(None, 2, "Invalid initialization.*expect.*integers.*"),
(-1, 2, "Invalid initialization.*positive.*larger than decimal_places.*"),
(2, -1, "Invalid initialization.*positive.*larger than decimal_places.*"),
(2, 3, "Invalid initialization.*positive.*larger than decimal_places.*"),
],
)
def test_decimal_init_fail(max_digits, decimal_places, error):
with pytest.raises(ValueError, match=error):
DecimalQuantityField(
"meter", max_digits=max_digits, decimal_places=decimal_places
)
@pytest.mark.parametrize("max_digits, decimal_places", [(2, 0), (2, 2), (1, 0)])
def decimal_init_success(max_digits, decimal_places):
DecimalQuantityField("meter", max_digits=max_digits, decimal_places=decimal_places)
@pytest.mark.django_db
class TestCustomDecimalUreg(TestCase):
def setUp(self):
# Custom Values are fined in confest.py
CustomUregDecimalHayBale.objects.create(custom_decimal=Decimal("5"))
CustomUregDecimalHayBale.objects.create(
custom_decimal=Decimal("5") * ureg.kilocustom,
)
def tearDown(self):
CustomUregHayBale.objects.all().delete()
def test_custom_ureg_decimal(self):
obj = CustomUregDecimalHayBale.objects.first()
self.assertEqual(str(obj.custom_decimal), "5.00 custom")
obj = CustomUregDecimalHayBale.objects.last()
self.assertEqual(str(obj.custom_decimal), "5000.00 custom")
@pytest.mark.django_db
class TestCustomUreg(TestCase):
def setUp(self):
# Custom Values are fined in confest.py
CustomUregHayBale.objects.create(custom=5, custom_int=5, custom_bigint=5)
CustomUregHayBale.objects.create(
custom=5 * ureg.kilocustom,
custom_int=5 * ureg.kilocustom,
custom_bigint=5 * ureg.kilocustom,
)
def tearDown(self):
CustomUregHayBale.objects.all().delete()
def test_custom_ureg_float(self):
obj = CustomUregHayBale.objects.first()
self.assertIsInstance(obj.custom, ureg.Quantity)
self.assertEqual(str(obj.custom), "5.0 custom")
obj = CustomUregHayBale.objects.last()
self.assertEqual(str(obj.custom), "5000.0 custom")
def test_custom_ureg_int(self):
obj = CustomUregHayBale.objects.first()
self.assertIsInstance(obj.custom_int, ureg.Quantity)
self.assertEqual(str(obj.custom_int), "5 custom")
obj = CustomUregHayBale.objects.last()
self.assertEqual(str(obj.custom_int), "5000 custom")
def test_custom_ureg_bigint(self):
obj = CustomUregHayBale.objects.first()
self.assertIsInstance(obj.custom_int, ureg.Quantity)
self.assertEqual(str(obj.custom_bigint), "5 custom")
obj = CustomUregHayBale.objects.last()
self.assertEqual(str(obj.custom_bigint), "5000 custom")
class BaseMixinNullAble:
EMPTY_MODEL: Type[Model]
FLOAT_SET_STR = "707.7"
FLOAT_SET = float(FLOAT_SET_STR)
DB_FLOAT_VALUE_EXPECTED = 707.7
def setUp(self):
self.EMPTY_MODEL.objects.create(name="Empty")
def tearDown(self) -> None:
self.EMPTY_MODEL.objects.all().delete()
def test_accepts_assigned_null(self):
new = self.EMPTY_MODEL()
new.weight = None
new.name = "Test"
new.save()
self.assertIsNone(new.weight)
# Also get it from database to verify
from_db = self.EMPTY_MODEL.objects.last()
self.assertIsNone(from_db.weight)
def test_accepts_auto_null(self):
empty = self.EMPTY_MODEL.objects.first()
self.assertIsNone(empty.weight, None)
def test_accepts_default_pint_unit(self):
new = self.EMPTY_MODEL(name="DefaultPintUnitTest")
units = UnitRegistry()
new.weight = 5 * units.kilogram
# Different Registers so we expect a warning!
with self.assertWarns(RuntimeWarning):
new.save()
obj = self.EMPTY_MODEL.objects.last()
self.assertEqual(obj.name, "DefaultPintUnitTest")
self.assertEqual(obj.weight.units, "gram")
self.assertEqual(obj.weight.magnitude, 5000)
def test_accepts_default_app_unit(self):
new = self.EMPTY_MODEL(name="DefaultAppUnitTest")
new.weight = 5 * ureg.kilogram
# Make sure that the correct argument does not raise a warning
with warnings.catch_warnings(record=True) as w:
new.save()
assert len(w) == 0
obj = self.EMPTY_MODEL.objects.last()
self.assertEqual(obj.name, "DefaultAppUnitTest")
self.assertEqual(obj.weight.units, "gram")
self.assertEqual(obj.weight.magnitude, 5000)
def test_accepts_assigned_whole_number(self):
new = self.EMPTY_MODEL(name="WholeNumber")
new.weight = 707
new.save()
obj = self.EMPTY_MODEL.objects.last()
self.assertEqual(obj.name, "WholeNumber")
self.assertEqual(obj.weight.units, "gram")
self.assertEqual(obj.weight.magnitude, 707)
def test_accepts_assigned_float_number(self):
new = self.EMPTY_MODEL(name="FloatNumber")
new.weight = self.FLOAT_SET
new.save()
obj = self.EMPTY_MODEL.objects.last()
self.assertEqual(obj.name, "FloatNumber")
self.assertEqual(obj.weight.units, "gram")
# We expect the database to deliver the correct type, at least
# for postgresql this is true
self.assertEqual(obj.weight.magnitude, self.DB_FLOAT_VALUE_EXPECTED)
self.assertIsInstance(obj.weight.magnitude, type(self.DB_FLOAT_VALUE_EXPECTED))
def test_serialisation(self):
serialized = serialize(
"json",
[
self.EMPTY_MODEL.objects.first(),
],
)
deserialized = json.loads(serialized)
obj = deserialized[0]["fields"]
self.assertEqual(obj["name"], "Empty")
self.assertIsNone(obj["weight"])
obj_generator = deserialize("json", serialized, ignorenonexistent=True)
obj_back = next(obj_generator)
self.assertEqual(obj_back.object.name, "Empty")
self.assertIsNone(obj_back.object.weight)
@pytest.mark.django_db
class TestNullableFloat(BaseMixinNullAble, TestCase):
EMPTY_MODEL = EmptyHayBaleFloat
@pytest.mark.django_db
class TestNullableInt(BaseMixinNullAble, TestCase):
EMPTY_MODEL = EmptyHayBaleInt
DB_FLOAT_VALUE_EXPECTED = int(BaseMixinNullAble.FLOAT_SET)
@pytest.mark.django_db
class TestNullablePositiveInt(BaseMixinNullAble, TestCase):
EMPTY_MODEL = EmptyHayBalePositiveInt
DB_FLOAT_VALUE_EXPECTED = int(BaseMixinNullAble.FLOAT_SET)
def test_raises_validation_error_for_negative_numbers(self):
# Test copied and modified from Django IntegerField tests
min_value = 0
instance = self.EMPTY_MODEL(weight=min_value - 1, name="lowest")
expected_message = django.core.validators.MinValueValidator.message % {
"limit_value": min_value,
}
with self.assertRaisesMessage(
django.core.exceptions.ValidationError, expected_message
):
instance.full_clean()
instance.weight = min_value
instance.full_clean()
@pytest.mark.django_db
class TestNullableBigInt(BaseMixinNullAble, TestCase):
EMPTY_MODEL = EmptyHayBaleBigInt
DB_FLOAT_VALUE_EXPECTED = int(BaseMixinNullAble.FLOAT_SET)
@pytest.mark.django_db
class TestNullableDecimal(BaseMixinNullAble, TestCase):
EMPTY_MODEL = EmptyHayBaleDecimal
DB_FLOAT_VALUE_EXPECTED = Decimal(BaseMixinNullAble.FLOAT_SET_STR)
def test_with_default_implementation(self):
new = self.EMPTY_MODEL(name="FloatNumber")
new.weight = self.FLOAT_SET
new.compare = self.FLOAT_SET
new.save()
obj = self.EMPTY_MODEL.objects.last()
self.assertEqual(obj.name, "FloatNumber")
self.assertEqual(obj.weight.units, "gram")
# We compare with the reference implementation of django, this should
# be always true no matter which database is used
self.assertEqual(obj.weight.magnitude, obj.compare)
self.assertIsInstance(obj.weight.magnitude, type(obj.compare))
def test_with_decimal(self):
new = self.EMPTY_MODEL(name="FloatNumber")
new.weight = Decimal(self.FLOAT_SET_STR)
new.compare = Decimal(self.FLOAT_SET_STR)
new.save()
obj = self.EMPTY_MODEL.objects.last()
self.assertEqual(obj.name, "FloatNumber")
self.assertEqual(obj.weight.units, "gram")
# We compare with the reference implementation of django, this should
# be always true no matter which database is used
self.assertEqual(obj.weight.magnitude, obj.compare)
self.assertIsInstance(obj.weight.magnitude, type(obj.compare))
# But we also expect (at least for postgresql) that this a Decimal
self.assertEqual(obj.weight.magnitude, self.DB_FLOAT_VALUE_EXPECTED)
self.assertIsInstance(obj.weight.magnitude, Decimal)
class FieldSaveTestBase:
MODEL: Type[FieldSaveModel]
EXPECTED_TYPE: Type = float
DEFAULT_WEIGHT = 100
DEFAULT_WEIGHT_STR = "100.0"
DEFAULT_WEIGHT_QUANTITY_STR = "100.0 gram"
HEAVIEST = 1000
LIGHTEST = 1
OUNCE_VALUE = 3.52739619496
COMPARE_QUANTITY = Quantity(0.8 * ureg.ounce) # 1 ounce = 28.34 grams
def setUp(self):
self.MODEL.objects.create(
weight=self.DEFAULT_WEIGHT,
name="grams",
)
self.lightest = self.MODEL.objects.create(weight=self.LIGHTEST, name="lightest")
self.heaviest = self.MODEL.objects.create(weight=self.HEAVIEST, name="heaviest")
def tearDown(self):
self.MODEL.objects.all().delete()
def test_fails_with_incompatible_units(self):
# we have to wrap this in a transaction
# fixing a unit test problem
# http://stackoverflow.com/questions/21458387/transactionmanagementerror-you-cant-execute-queries-until-the-end-of-the-atom
metres = Quantity(100 * ureg.meter)
with transaction.atomic():
with self.assertRaises(DimensionalityError):
self.MODEL.objects.create(weight=metres, name="Should Fail")
def test_value_stored_as_quantity(self):
obj = self.MODEL.objects.first()
self.assertIsInstance(obj.weight, Quantity)
self.assertEqual(str(obj.weight), self.DEFAULT_WEIGHT_QUANTITY_STR)
def test_value_stored_as_correct_magnitude_type(self):
obj = self.MODEL.objects.first()
self.assertIsInstance(obj.weight, Quantity)
self.assertIsInstance(obj.weight.magnitude, self.EXPECTED_TYPE)
def test_value_conversion(self):
obj = self.MODEL.objects.first()
ounces = obj.weight.to(ureg.ounce)
self.assertAlmostEqual(ounces.magnitude, self.OUNCE_VALUE)
self.assertEqual(ounces.units, ureg.ounce)
def test_order_by(self):
qs = list(self.MODEL.objects.all().order_by("weight"))
self.assertEqual(qs[0].name, "lightest")
self.assertEqual(qs[-1].name, "heaviest")
self.assertEqual(qs[0], self.lightest)
self.assertEqual(qs[-1], self.heaviest)
def test_comparison_with_number(self):
qs = self.MODEL.objects.filter(weight__gt=2)
self.assertNotIn(self.lightest, qs)
def test_comparison_with_quantity(self):
weight = Quantity(20 * ureg.gram)
qs = self.MODEL.objects.filter(weight__gt=weight)
self.assertNotIn(self.lightest, qs)
def test_comparison_with_quantity_respects_units(self):
qs = self.MODEL.objects.filter(weight__gt=self.COMPARE_QUANTITY)
self.assertNotIn(self.lightest, qs)
def test_comparison_is_actually_numeric(self):
qs = self.MODEL.objects.filter(weight__gt=1.0)
self.assertNotIn(self.lightest, qs)
def test_serialisation(self):
serialized = serialize(
"json",
[
self.MODEL.objects.first(),
],
)
deserialized = json.loads(serialized)
obj = deserialized[0]["fields"]
self.assertEqual(obj["weight"], self.DEFAULT_WEIGHT_STR)
class FloatLikeFieldSaveTestBase(FieldSaveTestBase):
OUNCES = Quantity(10 * ureg.ounce)
OUNCES_IN_GRAM = 283.49523125
def test_stores_value_in_base_units(self):
self.MODEL.objects.create(weight=self.OUNCES, name="ounce")
item = self.MODEL.objects.get(name="ounce")
self.assertEqual(item.weight.units, "gram")
self.assertAlmostEqual(item.weight.magnitude, self.OUNCES_IN_GRAM)
class TestFloatFieldSave(FloatLikeFieldSaveTestBase, TestCase):
MODEL = FloatFieldSaveModel
class TestDecimalFieldSave(FloatLikeFieldSaveTestBase, TestCase):
MODEL = DecimalFieldSaveModel
DEFAULT_WEIGHT_STR = "100.00"
DEFAULT_WEIGHT_QUANTITY_STR = "100.00 gram"
OUNCES = Decimal("10") * ureg.ounce
OUNCE_VALUE = Decimal("3.52739619496")
OUNCES_IN_GRAM = Decimal("283.50")
EXPECTED_TYPE = Decimal
class IntLikeFieldSaveTestBase(FieldSaveTestBase):
DEFAULT_WEIGHT_STR = "100"
DEFAULT_WEIGHT_QUANTITY_STR = "100 gram"
EXPECTED_TYPE = int
# 1 ounce = 28.34 grams -> we use something that can be stored as int
COMPARE_QUANTITY = Quantity(28 * 1000 * ureg.milligram)
@pytest.mark.xfail(reason="Not anymore supported")
def test_store_integer_loss_of_precision(self):
# We don't support this anymore, as it introduces to many edge cases
# Also the normal int field accepts floats, so this should be handled
# by the forms!
with transaction.atomic():
with self.assertRaisesRegex(ValueError, "loss of precision"):
self.MODEL(name="x", weight=Quantity(10 * ureg.ounce)).save()
class TestIntFieldSave(IntLikeFieldSaveTestBase, TestCase):
MODEL = IntFieldSaveModel
class TestBigIntFieldSave(IntLikeFieldSaveTestBase, TestCase):
MODEL = BigIntFieldSaveModel
class TestOffsetUnitFieldSaveTestBase(FloatLikeFieldSaveTestBase, TestCase):
MODEL = OffsetUnitFloatFieldSaveModel
DEFAULT_WEIGHT_QUANTITY_STR = "100.0 degree_Celsius"
HEAVIEST = 1000
LIGHTEST = 1
FAHRENHEIT_VALUE = 212 # 100 celsius = 212 fahrenheit
COMPARE_QUANTITY = Quantity(100, ureg.fahrenheit)
# Note: weight here is a temperature,
# reused the field name to allow inheritance of float test cae
def test_value_conversion(self):
obj = self.MODEL.objects.first()
degF = obj.weight.to(ureg.fahrenheit) # weight is in celsius
self.assertAlmostEqual(degF.magnitude, self.FAHRENHEIT_VALUE)
self.assertEqual(degF.units, ureg.fahrenheit)
def test_value_stored_as_quantity(self):
obj = self.MODEL.objects.first()
self.assertIsInstance(obj.weight, Quantity)
self.assertEqual(str(obj.weight), self.DEFAULT_WEIGHT_QUANTITY_STR)
def test_stores_value_in_base_units(self):
self.MODEL.objects.create(weight=self.FAHRENHEIT_VALUE, name="fahrenheit")
item = self.MODEL.objects.get(name="fahrenheit")
self.assertEqual(item.weight.units, "degree_Celsius")
self.assertAlmostEqual(item.weight.magnitude, self.FAHRENHEIT_VALUE)
def test_comparison_with_quantity(self):
weight = Quantity(20, ureg.celsius)
qs = self.MODEL.objects.filter(weight__gt=weight)
self.assertNotIn(self.lightest, qs)
def test_comparison_with_quantity_respects_units(self):
qs = self.MODEL.objects.filter(weight__gt=self.COMPARE_QUANTITY)
self.assertNotIn(self.lightest, qs)
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