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import json
import re
import sys
from datetime import datetime, timezone
from typing import Optional
import pytest
from dirty_equals import AnyThing, IsBytes, IsStr, IsTuple
from hypothesis import given, strategies
from typing_extensions import TypedDict
from pydantic_core import SchemaSerializer, SchemaValidator, ValidationError
from pydantic_core import core_schema as cs
@pytest.fixture(scope='module')
def datetime_schema():
return SchemaValidator(cs.datetime_schema())
@given(strategies.datetimes())
@pytest.mark.thread_unsafe # https://github.com/Quansight-Labs/pytest-run-parallel/issues/20
def test_datetime_datetime(datetime_schema, data):
assert datetime_schema.validate_python(data) == data
@pytest.mark.skipif(sys.platform == 'win32', reason='Can fail on windows, I guess due to 64-bit issue')
@given(strategies.integers(min_value=-11_676_096_000, max_value=253_402_300_799_000))
@pytest.mark.thread_unsafe # https://github.com/Quansight-Labs/pytest-run-parallel/issues/20
def test_datetime_int(datetime_schema, data):
try:
if abs(data) > 20_000_000_000:
microsecond = (data % 1000) * 1000
expected = datetime.fromtimestamp(data // 1000, tz=timezone.utc).replace(
tzinfo=None, microsecond=microsecond
)
else:
expected = datetime.fromtimestamp(data, tz=timezone.utc).replace(tzinfo=None)
except OverflowError:
pytest.skip('OverflowError, see pyodide/pyodide#2841, this can happen on 32-bit systems')
else:
assert datetime_schema.validate_python(data).replace(tzinfo=None) == expected, data
@given(strategies.binary())
@pytest.mark.thread_unsafe # https://github.com/Quansight-Labs/pytest-run-parallel/issues/20
def test_datetime_binary(datetime_schema, data):
try:
datetime_schema.validate_python(data)
except ValidationError as exc:
assert exc.errors(include_url=False) == [
{
'ctx': {'error': IsStr()},
'input': IsBytes(),
'loc': (),
'msg': IsStr(regex='Input should be a valid datetime or date, .+'),
'type': 'datetime_from_date_parsing',
},
]
@pytest.fixture(scope='module')
def definition_schema():
return SchemaValidator(
cs.definitions_schema(
cs.definition_reference_schema('Branch'),
[
cs.typed_dict_schema(
{
'sub_branch': cs.typed_dict_field(
cs.with_default_schema(
cs.nullable_schema(cs.definition_reference_schema('Branch')), default=None
)
),
},
ref='Branch',
)
],
)
)
def test_definition_simple(definition_schema):
assert definition_schema.validate_python({}) == {'sub_branch': None}
class BranchModel(TypedDict):
sub_branch: Optional['BranchModel']
@pytest.mark.skipif(sys.platform == 'emscripten', reason='Seems to fail sometimes on pyodide no idea why')
@given(strategies.from_type(BranchModel))
@pytest.mark.thread_unsafe # https://github.com/Quansight-Labs/pytest-run-parallel/issues/20
def test_recursive(definition_schema, data):
assert definition_schema.validate_python(data) == data
@given(strategies.integers(min_value=0, max_value=10))
@pytest.mark.thread_unsafe # https://github.com/Quansight-Labs/pytest-run-parallel/issues/20
def test_definition_cycles(definition_schema, depth):
data = BranchModel(sub_branch=None)
model = data
for _ in range(depth):
next_model = BranchModel(sub_branch=None)
model['sub_branch'] = next_model
model = next_model
model['sub_branch'] = data
with pytest.raises(ValidationError) as exc_info:
definition_schema.validate_python(data)
assert exc_info.value.errors(include_url=False) == [
{
'type': 'recursion_loop',
'loc': IsTuple(length=(1, None)),
'msg': 'Recursion error - cyclic reference detected',
'input': AnyThing(),
}
]
def test_definition_broken(definition_schema):
data = {'name': 'x'}
data['sub_branch'] = data
with pytest.raises(ValidationError, match='Recursion error - cyclic reference detected'):
definition_schema.validate_python(data)
@given(strategies.timedeltas())
@pytest.mark.thread_unsafe # https://github.com/Quansight-Labs/pytest-run-parallel/issues/20
def test_pytimedelta_as_timedelta(dt):
v = SchemaValidator(cs.timedelta_schema(gt=dt))
# simplest way to check `pytimedelta_as_timedelta` is correct is to extract duration from repr of the validator
m = re.search(r'Duration ?\{\s+positive: ?(\w+),\s+day: ?(\d+),\s+second: ?(\d+),\s+microsecond: ?(\d+)', repr(v))
pos, day, sec, micro = m.groups()
total_seconds = (1 if pos == 'true' else -1) * (int(day) * 86_400 + int(sec) + int(micro) / 1_000_000)
assert total_seconds == pytest.approx(dt.total_seconds())
@pytest.fixture(scope='module')
def url_validator():
return SchemaValidator(cs.url_schema())
# Parsing errors which hypothesis is likely to hit
_URL_PARSE_ERRORS = {'input is empty', 'relative URL without a base', 'empty host'}
@given(strategies.text())
@pytest.mark.timeout(
300 # this is very slow on emulated alpine aarch64, https://github.com/pydantic/pydantic-core/pull/1821
)
@pytest.mark.thread_unsafe # https://github.com/Quansight-Labs/pytest-run-parallel/issues/20
def test_urls_text(url_validator, text):
try:
url_validator.validate_python(text)
except ValidationError as exc:
assert exc.error_count() == 1
error = exc.errors(include_url=False)[0]
assert error['type'] == 'url_parsing'
assert error['ctx']['error'] in _URL_PARSE_ERRORS
@pytest.fixture(scope='module')
def multi_host_url_validator():
return SchemaValidator(cs.multi_host_url_schema())
@given(strategies.text())
@pytest.mark.timeout(
300 # this is very slow on emulated alpine aarch64, https://github.com/pydantic/pydantic-core/pull/1821
)
@pytest.mark.thread_unsafe # https://github.com/Quansight-Labs/pytest-run-parallel/issues/20
def test_multi_host_urls_text(multi_host_url_validator, text):
try:
multi_host_url_validator.validate_python(text)
except ValidationError as exc:
assert exc.error_count() == 1
error = exc.errors(include_url=False)[0]
assert error['type'] == 'url_parsing'
assert error['ctx']['error'] in _URL_PARSE_ERRORS
@pytest.fixture(scope='module')
def str_serializer():
return SchemaSerializer({'type': 'str'})
@given(strategies.text())
@pytest.mark.thread_unsafe # https://github.com/Quansight-Labs/pytest-run-parallel/issues/20
def test_serialize_string(str_serializer: SchemaSerializer, data):
assert str_serializer.to_python(data) == data
assert json.loads(str_serializer.to_json(data)) == data
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