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test_json.py
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test_json.py
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import datetime
import json
import re
import sys
from dataclasses import dataclass as vanilla_dataclass
from decimal import Decimal
from enum import Enum
from ipaddress import IPv4Address, IPv4Interface, IPv4Network, IPv6Address, IPv6Interface, IPv6Network
from pathlib import Path
from typing import List, Optional
from uuid import UUID
import pytest
from pydantic import BaseModel, NameEmail, create_model
from pydantic.color import Color
from pydantic.dataclasses import dataclass as pydantic_dataclass
from pydantic.json import pydantic_encoder, timedelta_isoformat
from pydantic.types import ConstrainedDecimal, DirectoryPath, FilePath, SecretBytes, SecretStr
class MyEnum(Enum):
foo = 'bar'
snap = 'crackle'
@pytest.mark.parametrize(
'input,output',
[
(UUID('ebcdab58-6eb8-46fb-a190-d07a33e9eac8'), '"ebcdab58-6eb8-46fb-a190-d07a33e9eac8"'),
(IPv4Address('192.168.0.1'), '"192.168.0.1"'),
(Color('#000'), '"black"'),
(Color((1, 12, 123)), '"#010c7b"'),
(SecretStr('abcd'), '"**********"'),
(SecretStr(''), '""'),
(SecretBytes(b'xyz'), '"**********"'),
(SecretBytes(b''), '""'),
(NameEmail('foo bar', 'foobaR@example.com'), '"foo bar <foobaR@example.com>"'),
(IPv6Address('::1:0:1'), '"::1:0:1"'),
(IPv4Interface('192.168.0.0/24'), '"192.168.0.0/24"'),
(IPv6Interface('2001:db00::/120'), '"2001:db00::/120"'),
(IPv4Network('192.168.0.0/24'), '"192.168.0.0/24"'),
(IPv6Network('2001:db00::/120'), '"2001:db00::/120"'),
(datetime.datetime(2032, 1, 1, 1, 1), '"2032-01-01T01:01:00"'),
(datetime.datetime(2032, 1, 1, 1, 1, tzinfo=datetime.timezone.utc), '"2032-01-01T01:01:00+00:00"'),
(datetime.datetime(2032, 1, 1), '"2032-01-01T00:00:00"'),
(datetime.time(12, 34, 56), '"12:34:56"'),
(datetime.timedelta(days=12, seconds=34, microseconds=56), '1036834.000056'),
({1, 2, 3}, '[1, 2, 3]'),
(frozenset([1, 2, 3]), '[1, 2, 3]'),
((v for v in range(4)), '[0, 1, 2, 3]'),
(b'this is bytes', '"this is bytes"'),
(Decimal('12.34'), '12.34'),
(create_model('BarModel', a='b', c='d')(), '{"a": "b", "c": "d"}'),
(MyEnum.foo, '"bar"'),
(re.compile('^regex$'), '"^regex$"'),
],
)
def test_encoding(input, output):
assert output == json.dumps(input, default=pydantic_encoder)
@pytest.mark.skipif(sys.platform.startswith('win'), reason='paths look different on windows')
def test_path_encoding(tmpdir):
class PathModel(BaseModel):
path: Path
file_path: FilePath
dir_path: DirectoryPath
tmpdir = Path(tmpdir)
file_path = tmpdir / 'bar'
file_path.touch()
dir_path = tmpdir / 'baz'
dir_path.mkdir()
model = PathModel(path=Path('/path/test/example/'), file_path=file_path, dir_path=dir_path)
expected = '{{"path": "/path/test/example", "file_path": "{}", "dir_path": "{}"}}'.format(file_path, dir_path)
assert json.dumps(model, default=pydantic_encoder) == expected
def test_model_encoding():
class ModelA(BaseModel):
x: int
y: str
class Model(BaseModel):
a: float
b: bytes
c: Decimal
d: ModelA
m = Model(a=10.2, b='foobar', c=10.2, d={'x': 123, 'y': '123'})
assert m.dict() == {'a': 10.2, 'b': b'foobar', 'c': Decimal('10.2'), 'd': {'x': 123, 'y': '123'}}
assert m.json() == '{"a": 10.2, "b": "foobar", "c": 10.2, "d": {"x": 123, "y": "123"}}'
assert m.json(exclude={'b'}) == '{"a": 10.2, "c": 10.2, "d": {"x": 123, "y": "123"}}'
def test_subclass_encoding():
class SubDate(datetime.datetime):
pass
class Model(BaseModel):
a: datetime.datetime
b: SubDate
m = Model(a=datetime.datetime(2032, 1, 1, 1, 1), b=SubDate(2020, 2, 29, 12, 30))
assert m.dict() == {'a': datetime.datetime(2032, 1, 1, 1, 1), 'b': SubDate(2020, 2, 29, 12, 30)}
assert m.json() == '{"a": "2032-01-01T01:01:00", "b": "2020-02-29T12:30:00"}'
def test_subclass_custom_encoding():
class SubDate(datetime.datetime):
pass
class SubDelta(datetime.timedelta):
pass
class Model(BaseModel):
a: SubDate
b: SubDelta
class Config:
json_encoders = {
datetime.datetime: lambda v: v.strftime('%a, %d %b %C %H:%M:%S'),
datetime.timedelta: timedelta_isoformat,
}
m = Model(a=SubDate(2032, 1, 1, 1, 1), b=SubDelta(hours=100))
assert m.dict() == {'a': SubDate(2032, 1, 1, 1, 1), 'b': SubDelta(days=4, seconds=14400)}
assert m.json() == '{"a": "Thu, 01 Jan 20 01:01:00", "b": "P4DT4H0M0.000000S"}'
def test_invalid_model():
class Foo:
pass
with pytest.raises(TypeError):
json.dumps(Foo, default=pydantic_encoder)
@pytest.mark.parametrize(
'input,output',
[
(datetime.timedelta(days=12, seconds=34, microseconds=56), 'P12DT0H0M34.000056S'),
(datetime.timedelta(days=1001, hours=1, minutes=2, seconds=3, microseconds=654_321), 'P1001DT1H2M3.654321S'),
],
)
def test_iso_timedelta(input, output):
assert output == timedelta_isoformat(input)
def test_custom_encoder():
class Model(BaseModel):
x: datetime.timedelta
y: Decimal
z: datetime.date
class Config:
json_encoders = {datetime.timedelta: lambda v: f'{v.total_seconds():0.3f}s', Decimal: lambda v: 'a decimal'}
assert Model(x=123, y=5, z='2032-06-01').json() == '{"x": "123.000s", "y": "a decimal", "z": "2032-06-01"}'
def test_custom_iso_timedelta():
class Model(BaseModel):
x: datetime.timedelta
class Config:
json_encoders = {datetime.timedelta: timedelta_isoformat}
m = Model(x=123)
assert m.json() == '{"x": "P0DT0H2M3.000000S"}'
def test_con_decimal_encode() -> None:
"""
Makes sure a decimal with decimal_places = 0, as well as one with places
can handle a encode/decode roundtrip.
"""
class Id(ConstrainedDecimal):
max_digits = 22
decimal_places = 0
ge = 0
class Obj(BaseModel):
id: Id
price: Decimal = Decimal('0.01')
assert Obj(id=1).json() == '{"id": 1, "price": 0.01}'
assert Obj.parse_raw('{"id": 1, "price": 0.01}') == Obj(id=1)
def test_json_encoder_simple_inheritance():
class Parent(BaseModel):
dt: datetime.datetime = datetime.datetime.now()
timedt: datetime.timedelta = datetime.timedelta(hours=100)
class Config:
json_encoders = {datetime.datetime: lambda _: 'parent_encoder'}
class Child(Parent):
class Config:
json_encoders = {datetime.timedelta: lambda _: 'child_encoder'}
assert Child().json() == '{"dt": "parent_encoder", "timedt": "child_encoder"}'
def test_json_encoder_inheritance_override():
class Parent(BaseModel):
dt: datetime.datetime = datetime.datetime.now()
class Config:
json_encoders = {datetime.datetime: lambda _: 'parent_encoder'}
class Child(Parent):
class Config:
json_encoders = {datetime.datetime: lambda _: 'child_encoder'}
assert Child().json() == '{"dt": "child_encoder"}'
def test_custom_encoder_arg():
class Model(BaseModel):
x: datetime.timedelta
m = Model(x=123)
assert m.json() == '{"x": 123.0}'
assert m.json(encoder=lambda v: '__default__') == '{"x": "__default__"}'
def test_encode_dataclass():
@vanilla_dataclass
class Foo:
bar: int
spam: str
f = Foo(bar=123, spam='apple pie')
assert '{"bar": 123, "spam": "apple pie"}' == json.dumps(f, default=pydantic_encoder)
def test_encode_pydantic_dataclass():
@pydantic_dataclass
class Foo:
bar: int
spam: str
f = Foo(bar=123, spam='apple pie')
assert '{"bar": 123, "spam": "apple pie"}' == json.dumps(f, default=pydantic_encoder)
def test_encode_custom_root():
class Model(BaseModel):
__root__: List[str]
assert Model(__root__=['a', 'b']).json() == '["a", "b"]'
def test_custom_decode_encode():
load_calls, dump_calls = 0, 0
def custom_loads(s):
nonlocal load_calls
load_calls += 1
return json.loads(s.strip('$'))
def custom_dumps(s, default=None, **kwargs):
nonlocal dump_calls
dump_calls += 1
return json.dumps(s, default=default, indent=2)
class Model(BaseModel):
a: int
b: str
class Config:
json_loads = custom_loads
json_dumps = custom_dumps
m = Model.parse_raw('${"a": 1, "b": "foo"}$$')
assert m.dict() == {'a': 1, 'b': 'foo'}
assert m.json() == '{\n "a": 1,\n "b": "foo"\n}'
def test_json_nested_encode():
class Phone(BaseModel):
manufacturer: str
number: int
class User(BaseModel):
name: str
SSN: int
birthday: datetime.datetime
phone: Phone
friend: Optional['User'] = None # noqa: F821 # https://github.com/PyCQA/pyflakes/issues/567
class Config:
json_encoders = {
datetime.datetime: lambda v: v.timestamp(),
Phone: lambda v: v.number if v else None,
'User': lambda v: v.SSN,
}
User.update_forward_refs()
iphone = Phone(manufacturer='Apple', number=18002752273)
galaxy = Phone(manufacturer='Samsung', number=18007267864)
timon = User(
name='Timon', SSN=123, birthday=datetime.datetime(1993, 6, 1, tzinfo=datetime.timezone.utc), phone=iphone
)
pumbaa = User(
name='Pumbaa', SSN=234, birthday=datetime.datetime(1993, 5, 15, tzinfo=datetime.timezone.utc), phone=galaxy
)
timon.friend = pumbaa
assert iphone.json() == '{"manufacturer": "Apple", "number": 18002752273}'
assert (
pumbaa.json() == '{"name": "Pumbaa", "SSN": 234, "birthday": 737424000.0, "phone": 18007267864, "friend": null}'
)
assert timon.json() == '{"name": "Timon", "SSN": 123, "birthday": 738892800.0, "phone": 18002752273, "friend": 234}'
def test_custom_encode_fallback_basemodel():
class MyExoticType:
pass
def custom_encoder(o):
if isinstance(o, MyExoticType):
return ...
raise TypeError('not serialisable')
class Foo(BaseModel):
pass
class Bar(BaseModel):
foo: Foo
assert Bar(foo=Foo()).json(encoder=custom_encoder) == '{"foo": {}}'
def test_custom_encode_error():
class MyExoticType:
pass
def custom_encoder(o):
raise TypeError('not serialisable')
class Bar(BaseModel):
foo: MyExoticType
class Config:
arbitrary_types_allowed = True
with pytest.raises(TypeError, match='not serialisable'):
Bar(foo=MyExoticType()).json(encoder=custom_encoder)