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test_serialization_micro.py
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test_serialization_micro.py
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import json
from dataclasses import dataclass
from datetime import date, datetime
from uuid import UUID
import pytest
from pydantic_core import SchemaSerializer, SchemaValidator, core_schema, to_json
class TestBenchmarkSimpleModel:
@pytest.fixture(scope='class')
def core_schema(self):
class CoreModel:
__slots__ = '__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__'
return {
'type': 'model',
'cls': CoreModel,
'schema': {
'type': 'model-fields',
'fields': {
'name': {'type': 'model-field', 'schema': {'type': 'str'}},
'age': {'type': 'model-field', 'schema': {'type': 'int'}},
'friends': {'type': 'model-field', 'schema': {'type': 'list', 'items_schema': {'type': 'int'}}},
'settings': {
'type': 'model-field',
'schema': {'type': 'dict', 'keys_schema': {'type': 'str'}, 'values_schema': {'type': 'float'}},
},
},
},
}
@pytest.fixture(scope='class')
def core_validator(self, core_schema):
return SchemaValidator(core_schema)
@pytest.fixture(scope='class')
def core_serializer(self, core_schema):
return SchemaSerializer(core_schema)
data = {'name': 'John', 'age': 42, 'friends': list(range(200)), 'settings': {f'v_{i}': i / 2.0 for i in range(50)}}
@pytest.mark.benchmark(group='serialize simple model - python')
def test_core_dict(self, core_validator: SchemaValidator, core_serializer: SchemaSerializer, benchmark):
m = core_validator.validate_python(self.data)
assert core_serializer.to_python(m) == self.data
benchmark(core_serializer.to_python, m)
@pytest.mark.benchmark(group='serialize simple model - python filter')
def test_core_dict_filter(self, core_validator: SchemaValidator, core_serializer: SchemaSerializer, benchmark):
m = core_validator.validate_python(self.data)
exclude = {'age': ..., 'fields': {41, 42}}
@benchmark
def _():
core_serializer.to_python(m, exclude=exclude)
@pytest.mark.benchmark(group='serialize simple model - JSON')
def test_core_json(self, core_validator: SchemaValidator, core_serializer: SchemaSerializer, benchmark):
m = core_validator.validate_python(self.data)
assert json.loads(core_serializer.to_json(m)) == self.data
benchmark(core_serializer.to_json, m)
@pytest.mark.benchmark(group='list-of-str')
def test_json_direct_list_str(benchmark):
serializer = SchemaSerializer({'type': 'list', 'items_schema': {'type': 'str'}})
assert serializer.to_json(list(map(str, range(5)))) == b'["0","1","2","3","4"]'
items = list(map(str, range(1000)))
benchmark(serializer.to_json, items)
@pytest.mark.benchmark(group='list-of-str')
def test_python_json_list_str(benchmark):
serializer = SchemaSerializer({'type': 'list', 'items_schema': {'type': 'str'}})
assert serializer.to_python(list(map(str, range(5))), mode='json') == ['0', '1', '2', '3', '4']
items = list(map(str, range(1000)))
@benchmark
def t():
serializer.to_python(items, mode='json')
@pytest.mark.benchmark(group='list-of-str')
def test_json_any_list_str(benchmark):
serializer = SchemaSerializer({'type': 'list', 'items_schema': {'type': 'any'}})
assert serializer.to_json(list(map(str, range(5)))) == b'["0","1","2","3","4"]'
items = list(map(str, range(1000)))
benchmark(serializer.to_json, items)
@pytest.mark.benchmark(group='list-of-int')
def test_json_direct_list_int(benchmark):
serializer = SchemaSerializer({'type': 'list', 'items_schema': {'type': 'int'}})
assert serializer.to_json(list(range(5))) == b'[0,1,2,3,4]'
items = list(range(1000))
benchmark(serializer.to_json, items)
@pytest.mark.benchmark(group='list-of-int')
def test_json_any_list_int(benchmark):
serializer = SchemaSerializer({'type': 'list', 'items_schema': {'type': 'any'}})
assert serializer.to_json(list(range(5))) == b'[0,1,2,3,4]'
items = list(range(1000))
benchmark(serializer.to_json, items)
@pytest.mark.benchmark(group='list-of-int')
def test_python_json_list_int(benchmark):
serializer = SchemaSerializer({'type': 'list', 'items_schema': {'type': 'int'}})
assert serializer.to_python(list(range(5)), mode='json') == [0, 1, 2, 3, 4]
items = list(range(1000))
@benchmark
def t():
serializer.to_python(items, mode='json')
@pytest.mark.benchmark(group='list-of-bool')
def test_python_json_list_none(benchmark):
serializer = SchemaSerializer({'type': 'list', 'items_schema': {'type': 'none'}})
assert serializer.to_python([None, None, None], mode='json') == [None, None, None]
items = [None for v in range(1000)]
@benchmark
def t():
serializer.to_python(items, mode='json')
@pytest.mark.benchmark(group='date-format')
def test_date_format(benchmark):
serializer = SchemaSerializer(
{'type': 'any', 'serialization': {'type': 'format', 'formatting_string': '%Y-%m-%d', 'when_used': 'always'}}
)
d = date(2022, 11, 20)
assert serializer.to_python(d) == '2022-11-20'
benchmark(serializer.to_python, d)
@pytest.mark.benchmark(group='date-format')
def test_date_format_function(benchmark):
def fmt(value, info):
return value.strftime('%Y-%m-%d')
serializer = SchemaSerializer(
core_schema.any_schema(
serialization=core_schema.plain_serializer_function_ser_schema(
fmt, info_arg=True, return_schema=core_schema.str_schema()
)
)
)
d = date(2022, 11, 20)
assert serializer.to_python(d) == '2022-11-20'
benchmark(serializer.to_python, d)
@pytest.mark.benchmark(group='date-format')
def test_date_format_function_no_info(benchmark):
def fmt(value):
return value.strftime('%Y-%m-%d')
serializer = SchemaSerializer(
core_schema.any_schema(
serialization=core_schema.plain_serializer_function_ser_schema(fmt, return_schema=core_schema.str_schema())
)
)
d = date(2022, 11, 20)
assert serializer.to_python(d) == '2022-11-20'
benchmark(serializer.to_python, d)
class BasicModel:
def __init__(self, **kwargs):
for key, value in kwargs.items():
setattr(self, key, value)
@pytest.fixture(scope='module', name='basic_model_serializer')
def basic_model_serializer_fixture():
return SchemaSerializer(
core_schema.model_schema(
BasicModel,
core_schema.model_fields_schema(
{
'a': core_schema.model_field(core_schema.int_schema()),
'b': core_schema.model_field(core_schema.int_schema()),
'c': core_schema.model_field(core_schema.int_schema()),
'd': core_schema.model_field(core_schema.int_schema()),
'e': core_schema.model_field(core_schema.int_schema()),
'f': core_schema.model_field(core_schema.int_schema()),
'g': core_schema.model_field(core_schema.int_schema()),
'h': core_schema.model_field(core_schema.int_schema()),
}
),
)
)
@pytest.mark.benchmark(group='model-python')
def test_core_model_py(benchmark, basic_model_serializer):
m = BasicModel(a=1, b=2, c=3, d=4, e=5, f=6, g=7, h=8)
assert basic_model_serializer.to_python(m) == {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5, 'f': 6, 'g': 7, 'h': 8}
benchmark(basic_model_serializer.to_python, m)
@pytest.fixture(scope='module', name='basic_model_serializer_extra')
def basic_model_serializer_extra_fixture():
return SchemaSerializer(
core_schema.model_schema(
BasicModel,
core_schema.model_fields_schema(
{
'a': core_schema.model_field(core_schema.int_schema()),
'b': core_schema.model_field(core_schema.int_schema()),
'c': core_schema.model_field(core_schema.int_schema()),
'd': core_schema.model_field(core_schema.int_schema()),
'e': core_schema.model_field(core_schema.int_schema()),
'f': core_schema.model_field(core_schema.int_schema()),
'g': core_schema.model_field(core_schema.int_schema()),
'h': core_schema.model_field(core_schema.int_schema()),
},
extra_behavior='allow',
),
extra_behavior='allow',
)
)
@pytest.mark.benchmark(group='model-python')
def test_core_model_py_extra(benchmark, basic_model_serializer_extra):
m = BasicModel(a=1, b=2, c=3, d=4, e=5, f=6, g=7, h=8, __pydantic_extra__={'i': 9})
assert basic_model_serializer_extra.to_python(m) == {
'a': 1,
'b': 2,
'c': 3,
'd': 4,
'e': 5,
'f': 6,
'g': 7,
'h': 8,
'i': 9,
}
benchmark(basic_model_serializer_extra.to_python, m)
@pytest.mark.benchmark(group='model-json')
def test_core_model_json(benchmark, basic_model_serializer):
m = BasicModel(a=1, b=2, c=3, d=4, e=5, f=6, g=7, h=8)
assert basic_model_serializer.to_json(m) == b'{"a":1,"b":2,"c":3,"d":4,"e":5,"f":6,"g":7,"h":8}'
benchmark(basic_model_serializer.to_json, m)
@pytest.mark.benchmark(group='model-json')
def test_core_model_json_extra(benchmark, basic_model_serializer_extra):
m = BasicModel(a=1, b=2, c=3, d=4, e=5, f=6, g=7, h=8, __pydantic_extra__={'i': 9})
assert basic_model_serializer_extra.to_json(m) == b'{"a":1,"b":2,"c":3,"d":4,"e":5,"f":6,"g":7,"h":8,"i":9}'
benchmark(basic_model_serializer_extra.to_json, m)
class FieldsSetModel:
__slots__ = '__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__'
def __init__(self, **kwargs):
for key, value in kwargs.items():
setattr(self, key, value)
@pytest.fixture(scope='module', name='fs_model_serializer')
def fs_model_serializer_fixture():
return SchemaSerializer(
core_schema.model_schema(
FieldsSetModel,
core_schema.model_fields_schema(
{
'a': core_schema.model_field(core_schema.int_schema()),
'b': core_schema.model_field(core_schema.int_schema()),
'c': core_schema.model_field(core_schema.int_schema()),
'd': core_schema.model_field(core_schema.int_schema()),
'e': core_schema.model_field(core_schema.int_schema()),
'f': core_schema.model_field(core_schema.int_schema()),
'g': core_schema.model_field(core_schema.int_schema()),
'h': core_schema.model_field(core_schema.int_schema()),
}
),
)
)
@pytest.mark.benchmark(group='model-exclude-unset')
def test_model_exclude_unset_false(benchmark, fs_model_serializer):
m = FieldsSetModel(a=1, b=2, c=3, d=4, e=5, f=6, g=7, h=8, __pydantic_fields_set__={'a', 'b', 'c', 'd', 'e', 'f'})
assert fs_model_serializer.to_python(m) == {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5, 'f': 6, 'g': 7, 'h': 8}
assert fs_model_serializer.to_python(m, exclude_unset=True) == {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5, 'f': 6}
@benchmark
def r():
fs_model_serializer.to_python(m)
@pytest.mark.benchmark(group='model-exclude-unset')
def test_model_exclude_unset_true(benchmark, fs_model_serializer):
m = FieldsSetModel(a=1, b=2, c=3, d=4, e=5, f=6, g=7, h=8, __pydantic_fields_set__={'a', 'b', 'c', 'd', 'e', 'f'})
assert fs_model_serializer.to_python(m) == {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5, 'f': 6, 'g': 7, 'h': 8}
assert fs_model_serializer.to_python(m, exclude_unset=True) == {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5, 'f': 6}
@benchmark
def r():
fs_model_serializer.to_python(m, exclude_unset=True)
@pytest.mark.benchmark(group='model-list-json')
def test_model_list_core_json(benchmark):
s = SchemaSerializer(
core_schema.model_schema(
BasicModel,
core_schema.model_fields_schema(
{
'a': core_schema.model_field(
core_schema.list_schema(
core_schema.int_schema(), serialization=core_schema.filter_seq_schema(exclude={1, 2})
)
)
}
),
)
)
m = BasicModel(a=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
assert s.to_json(m) == b'{"a":[0,3,4,5,6,7,8,9]}'
m_big = BasicModel(a=list(range(1000)))
j = s.to_json(m_big)
assert j.startswith(b'{"a":[0,3,4')
assert j.endswith(b'998,999]}')
@benchmark
def r():
s.to_json(m_big)
@pytest.mark.benchmark(group='model-list-json')
def test_datetime(benchmark):
v = SchemaSerializer(core_schema.datetime_schema())
d = datetime(2022, 12, 2, 12, 13, 14)
assert v.to_python(d, mode='json') == '2022-12-02T12:13:14'
@benchmark
def r():
v.to_python(d, mode='json')
@pytest.mark.benchmark(group='model-list-json')
def test_uuid(benchmark):
v = SchemaSerializer(core_schema.uuid_schema())
u = UUID('12345678-1234-5678-1234-567812345678')
assert v.to_python(u, mode='json') == '12345678-1234-5678-1234-567812345678'
@benchmark
def r():
v.to_python(u, mode='json')
@pytest.mark.benchmark(group='to-string')
def test_to_string_format(benchmark):
s = SchemaSerializer(core_schema.any_schema(serialization=core_schema.format_ser_schema('d')))
assert s.to_json(123) == b'"123"'
benchmark(s.to_json, 123)
@pytest.mark.benchmark(group='to-string')
def test_to_string_direct(benchmark):
s = SchemaSerializer(core_schema.any_schema(serialization={'type': 'to-string'}))
assert s.to_json(123) == b'"123"'
benchmark(s.to_json, 123)
@pytest.mark.benchmark(group='filter')
def test_filter(benchmark):
v = SchemaSerializer(core_schema.list_schema(core_schema.any_schema()))
assert v.to_python(['a', 'b', 'c', 'd', 'e'], include={-1, -2}) == ['d', 'e']
@benchmark
def t():
v.to_python(['a', 'b', 'c', 'd', 'e'], include={-1, -2})
@pytest.mark.benchmark(group='list-of-lists')
def test_to_json_list_of_lists(benchmark):
data = [[i + j for j in range(10)] for i in range(1000)]
benchmark(to_json, data)
@pytest.mark.benchmark(group='list-of-lists')
def test_ser_list_of_lists(benchmark):
s = SchemaSerializer(core_schema.list_schema(core_schema.list_schema(core_schema.int_schema())))
data = [[i + j for j in range(10)] for i in range(1000)]
benchmark(s.to_json, data)
@dataclass
class Foo:
a: str
b: bytes
c: int
d: float
dataclass_schema = core_schema.dataclass_schema(
Foo,
core_schema.dataclass_args_schema(
'Foo',
[
core_schema.dataclass_field(name='a', schema=core_schema.str_schema()),
core_schema.dataclass_field(name='b', schema=core_schema.bytes_schema()),
core_schema.dataclass_field(name='c', schema=core_schema.int_schema()),
core_schema.dataclass_field(name='d', schema=core_schema.float_schema()),
],
),
['a', 'b', 'c', 'd'],
)
@pytest.mark.benchmark(group='dataclass-ser')
def test_dataclass_serialization_python(benchmark):
s = SchemaSerializer(dataclass_schema)
dc = Foo(a='hello', b=b'more', c=123, d=1.23)
assert s.to_python(dc) == {'a': 'hello', 'b': b'more', 'c': 123, 'd': 1.23}
benchmark(s.to_python, dc)
@pytest.mark.benchmark(group='dataclass-ser')
def test_dataclass_serialization_json(benchmark):
s = SchemaSerializer(dataclass_schema)
dc = Foo(a='hello', b=b'more', c=123, d=1.23)
assert s.to_python(dc) == {'a': 'hello', 'b': b'more', 'c': 123, 'd': 1.23}
benchmark(s.to_json, dc)
@pytest.mark.benchmark(group='dataclass-ser')
def test_dataclass_to_json(benchmark):
dc = Foo(a='hello', b=b'more', c=123, d=1.23)
benchmark(to_json, dc)