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from __future__ import annotations as _annotations
import functools
import gc
import importlib.util
import json
import os
import re
import sys
from dataclasses import dataclass
from pathlib import Path
from time import sleep, time
from typing import Any, Callable, Literal
import hypothesis
import pytest
from pydantic_core import ArgsKwargs, CoreSchema, SchemaValidator, ValidationError
from pydantic_core.core_schema import CoreConfig, ExtraBehavior
__all__ = 'Err', 'PyAndJson', 'assert_gc', 'is_free_threaded', 'plain_repr', 'infinite_generator'
hypothesis.settings.register_profile('fast', max_examples=2)
hypothesis.settings.register_profile('slow', max_examples=1_000)
hypothesis.settings.load_profile(os.getenv('HYPOTHESIS_PROFILE', 'fast'))
try:
is_free_threaded = not sys._is_gil_enabled()
except AttributeError:
is_free_threaded = False
def plain_repr(obj):
r = repr(obj)
r = re.sub(r',\s*([)}])', r'\1', r)
r = re.sub(r'\s+', '', r)
return r
@dataclass
class Err:
message: str
errors: Any | None = None
def __repr__(self):
if self.errors:
return f'Err({self.message!r}, errors={self.errors!r})'
else:
return f'Err({self.message!r})'
def json_default(obj):
if isinstance(obj, ArgsKwargs):
raise pytest.skip('JSON skipping ArgsKwargs')
else:
raise TypeError(f'Object of type {type(obj).__name__} is not JSON serializable')
class PyAndJsonValidator:
def __init__(
self,
schema: CoreSchema,
config: CoreConfig | None = None,
*,
validator_type: Literal['json', 'python'] | None = None,
):
self.validator = SchemaValidator(schema, config)
self.validator_type = validator_type
def validate_python(self, py_input, strict: bool | None = None, context: Any = None):
return self.validator.validate_python(py_input, strict=strict, context=context)
def validate_json(self, json_str: str, strict: bool | None = None, context: Any = None):
return self.validator.validate_json(json_str, strict=strict, context=context)
def validate_test(
self, py_input, strict: bool | None = None, context: Any = None, extra: ExtraBehavior | None = None
):
if self.validator_type == 'json':
return self.validator.validate_json(
json.dumps(py_input, default=json_default),
strict=strict,
extra=extra,
context=context,
)
else:
assert self.validator_type == 'python', self.validator_type
return self.validator.validate_python(py_input, strict=strict, context=context, extra=extra)
def isinstance_test(self, py_input, strict: bool | None = None, context: Any = None):
if self.validator_type == 'json':
try:
self.validator.validate_json(json.dumps(py_input), strict=strict, context=context)
return True
except ValidationError:
return False
else:
assert self.validator_type == 'python', self.validator_type
return self.validator.isinstance_python(py_input, strict=strict, context=context)
PyAndJson = type[PyAndJsonValidator]
@pytest.fixture(params=['python', 'json'])
def py_and_json(request) -> PyAndJson:
class ChosenPyAndJsonValidator(PyAndJsonValidator):
__init__ = functools.partialmethod(PyAndJsonValidator.__init__, validator_type=request.param)
return ChosenPyAndJsonValidator
class StrictModeType:
def __init__(self, schema: bool, extra: bool):
assert schema or extra
self.schema = schema
self.validator_args = {'strict': True} if extra else {}
@pytest.fixture(
params=[
StrictModeType(schema=True, extra=False),
StrictModeType(schema=False, extra=True),
StrictModeType(schema=True, extra=True),
],
ids=['strict-schema', 'strict-extra', 'strict-both'],
)
def strict_mode_type(request) -> StrictModeType:
return request.param
@pytest.fixture
def tmp_work_path(tmp_path: Path):
"""
Create a temporary working directory.
"""
previous_cwd = Path.cwd()
os.chdir(tmp_path)
yield tmp_path
os.chdir(previous_cwd)
@pytest.fixture
def import_execute(request, tmp_work_path: Path):
def _import_execute(source: str, *, custom_module_name: str | None = None):
module_name = custom_module_name or request.node.name
module_path = tmp_work_path / f'{module_name}.py'
module_path.write_text(source)
spec = importlib.util.spec_from_file_location('__main__', str(module_path))
module = importlib.util.module_from_spec(spec)
try:
spec.loader.exec_module(module)
except KeyboardInterrupt:
print('KeyboardInterrupt')
else:
return module
return _import_execute
@pytest.fixture
def pydantic_version():
try:
import pydantic
# include major and minor version only
return '.'.join(pydantic.__version__.split('.')[:2])
except ImportError:
return 'latest'
def infinite_generator():
i = 0
while True:
yield i
i += 1
def assert_gc(test: Callable[[], bool], timeout: float = 10) -> None:
"""Helper to retry garbage collection until the test passes or timeout is
reached.
This is useful on free-threading where the GC collect call finishes before
all cleanup is done.
"""
start = now = time()
while now - start < timeout:
if test():
return
gc.collect()
sleep(0.1)
now = time()
raise AssertionError('Timeout waiting for GC')
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