Major fixes and new features
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2025-09-25 15:51:48 +09:00
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commit ddce9f5125
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"""Usage docs: https://docs.pydantic.dev/2.4/concepts/plugins#build-a-plugin
Plugin interface for Pydantic plugins, and related types.
"""
from __future__ import annotations
from typing import Any, Callable
from pydantic_core import CoreConfig, CoreSchema, ValidationError
from typing_extensions import Protocol, TypeAlias
__all__ = (
'PydanticPluginProtocol',
'BaseValidateHandlerProtocol',
'ValidatePythonHandlerProtocol',
'ValidateJsonHandlerProtocol',
'ValidateStringsHandlerProtocol',
'NewSchemaReturns',
)
NewSchemaReturns: TypeAlias = 'tuple[ValidatePythonHandlerProtocol | None, ValidateJsonHandlerProtocol | None, ValidateStringsHandlerProtocol | None]'
class PydanticPluginProtocol(Protocol):
"""Protocol defining the interface for Pydantic plugins."""
def new_schema_validator(
self,
schema: CoreSchema,
config: CoreConfig | None,
plugin_settings: dict[str, object],
) -> tuple[
ValidatePythonHandlerProtocol | None, ValidateJsonHandlerProtocol | None, ValidateStringsHandlerProtocol | None
]:
"""This method is called for each plugin every time a new [`SchemaValidator`][pydantic_core.SchemaValidator]
is created.
It should return an event handler for each of the three validation methods, or `None` if the plugin does not
implement that method.
Args:
schema: The schema to validate against.
config: The config to use for validation.
plugin_settings: Any plugin settings.
Returns:
A tuple of optional event handlers for each of the three validation methods -
`validate_python`, `validate_json`, `validate_strings`.
"""
raise NotImplementedError('Pydantic plugins should implement `new_schema_validator`.')
class BaseValidateHandlerProtocol(Protocol):
"""Base class for plugin callbacks protocols.
You shouldn't implement this protocol directly, instead use one of the subclasses with adds the correctly
typed `on_error` method.
"""
on_enter: Callable[..., None]
"""`on_enter` is changed to be more specific on all subclasses"""
def on_success(self, result: Any) -> None:
"""Callback to be notified of successful validation.
Args:
result: The result of the validation.
"""
return
def on_error(self, error: ValidationError) -> None:
"""Callback to be notified of validation errors.
Args:
error: The validation error.
"""
return
class ValidatePythonHandlerProtocol(BaseValidateHandlerProtocol, Protocol):
"""Event handler for `SchemaValidator.validate_python`."""
def on_enter(
self,
input: Any,
*,
strict: bool | None = None,
from_attributes: bool | None = None,
context: dict[str, Any] | None = None,
self_instance: Any | None = None,
) -> None:
"""Callback to be notified of validation start, and create an instance of the event handler.
Args:
input: The input to be validated.
strict: Whether to validate the object in strict mode.
from_attributes: Whether to validate objects as inputs by extracting attributes.
context: The context to use for validation, this is passed to functional validators.
self_instance: An instance of a model to set attributes on from validation, this is used when running
validation from the `__init__` method of a model.
"""
pass
class ValidateJsonHandlerProtocol(BaseValidateHandlerProtocol, Protocol):
"""Event handler for `SchemaValidator.validate_json`."""
def on_enter(
self,
input: str | bytes | bytearray,
*,
strict: bool | None = None,
context: dict[str, Any] | None = None,
self_instance: Any | None = None,
) -> None:
"""Callback to be notified of validation start, and create an instance of the event handler.
Args:
input: The JSON data to be validated.
strict: Whether to validate the object in strict mode.
context: The context to use for validation, this is passed to functional validators.
self_instance: An instance of a model to set attributes on from validation, this is used when running
validation from the `__init__` method of a model.
"""
pass
StringInput: TypeAlias = 'dict[str, StringInput]'
class ValidateStringsHandlerProtocol(BaseValidateHandlerProtocol, Protocol):
"""Event handler for `SchemaValidator.validate_strings`."""
def on_enter(
self, input: StringInput, *, strict: bool | None = None, context: dict[str, Any] | None = None
) -> None:
"""Callback to be notified of validation start, and create an instance of the event handler.
Args:
input: The string data to be validated.
strict: Whether to validate the object in strict mode.
context: The context to use for validation, this is passed to functional validators.
"""
pass

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from __future__ import annotations
import sys
import warnings
from typing import TYPE_CHECKING, Iterable
from typing_extensions import Final
if sys.version_info >= (3, 8):
import importlib.metadata as importlib_metadata
else:
import importlib_metadata
if TYPE_CHECKING:
from . import PydanticPluginProtocol
PYDANTIC_ENTRY_POINT_GROUP: Final[str] = 'pydantic'
# cache of plugins
_plugins: dict[str, PydanticPluginProtocol] | None = None
# return no plugins while loading plugins to avoid recursion and errors while import plugins
# this means that if plugins use pydantic
_loading_plugins: bool = False
def get_plugins() -> Iterable[PydanticPluginProtocol]:
"""Load plugins for Pydantic.
Inspired by: https://github.com/pytest-dev/pluggy/blob/1.3.0/src/pluggy/_manager.py#L376-L402
"""
global _plugins, _loading_plugins
if _loading_plugins:
# this happens when plugins themselves use pydantic, we return no plugins
return ()
elif _plugins is None:
_plugins = {}
# set _loading_plugins so any plugins that use pydantic don't themselves use plugins
_loading_plugins = True
try:
for dist in importlib_metadata.distributions():
for entry_point in dist.entry_points:
if entry_point.group != PYDANTIC_ENTRY_POINT_GROUP:
continue
if entry_point.value in _plugins:
continue
try:
_plugins[entry_point.value] = entry_point.load()
except (ImportError, AttributeError) as e:
warnings.warn(
f'{e.__class__.__name__} while loading the `{entry_point.name}` Pydantic plugin, '
f'this plugin will not be installed.\n\n{e!r}'
)
finally:
_loading_plugins = False
return _plugins.values()

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"""Pluggable schema validator for pydantic."""
from __future__ import annotations
import functools
from typing import TYPE_CHECKING, Any, Callable, Iterable, TypeVar
from pydantic_core import CoreConfig, CoreSchema, SchemaValidator, ValidationError
from typing_extensions import Literal, ParamSpec
if TYPE_CHECKING:
from . import BaseValidateHandlerProtocol, PydanticPluginProtocol
P = ParamSpec('P')
R = TypeVar('R')
Event = Literal['on_validate_python', 'on_validate_json', 'on_validate_strings']
events: list[Event] = list(Event.__args__) # type: ignore
def create_schema_validator(
schema: CoreSchema, config: CoreConfig | None = None, plugin_settings: dict[str, Any] | None = None
) -> SchemaValidator:
"""Create a `SchemaValidator` or `PluggableSchemaValidator` if plugins are installed.
Returns:
If plugins are installed then return `PluggableSchemaValidator`, otherwise return `SchemaValidator`.
"""
from ._loader import get_plugins
plugins = get_plugins()
if plugins:
return PluggableSchemaValidator(schema, config, plugins, plugin_settings or {}) # type: ignore
else:
return SchemaValidator(schema, config)
class PluggableSchemaValidator:
"""Pluggable schema validator."""
__slots__ = '_schema_validator', 'validate_json', 'validate_python', 'validate_strings'
def __init__(
self,
schema: CoreSchema,
config: CoreConfig | None,
plugins: Iterable[PydanticPluginProtocol],
plugin_settings: dict[str, Any],
) -> None:
self._schema_validator = SchemaValidator(schema, config)
python_event_handlers: list[BaseValidateHandlerProtocol] = []
json_event_handlers: list[BaseValidateHandlerProtocol] = []
strings_event_handlers: list[BaseValidateHandlerProtocol] = []
for plugin in plugins:
p, j, s = plugin.new_schema_validator(schema, config, plugin_settings)
if p is not None:
python_event_handlers.append(p)
if j is not None:
json_event_handlers.append(j)
if s is not None:
strings_event_handlers.append(s)
self.validate_python = build_wrapper(self._schema_validator.validate_python, python_event_handlers)
self.validate_json = build_wrapper(self._schema_validator.validate_json, json_event_handlers)
self.validate_strings = build_wrapper(self._schema_validator.validate_strings, strings_event_handlers)
def __getattr__(self, name: str) -> Any:
return getattr(self._schema_validator, name)
def build_wrapper(func: Callable[P, R], event_handlers: list[BaseValidateHandlerProtocol]) -> Callable[P, R]:
if not event_handlers:
return func
else:
on_enters = tuple(h.on_enter for h in event_handlers if filter_handlers(h, 'on_enter'))
on_successes = tuple(h.on_success for h in event_handlers if filter_handlers(h, 'on_success'))
on_errors = tuple(h.on_error for h in event_handlers if filter_handlers(h, 'on_error'))
@functools.wraps(func)
def wrapper(*args: P.args, **kwargs: P.kwargs) -> R:
for on_enter_handler in on_enters:
on_enter_handler(*args, **kwargs)
try:
result = func(*args, **kwargs)
except ValidationError as error:
for on_error_handler in on_errors:
on_error_handler(error)
raise
else:
for on_success_handler in on_successes:
on_success_handler(result)
return result
return wrapper
def filter_handlers(handler_cls: BaseValidateHandlerProtocol, method_name: str) -> bool:
"""Filter out handler methods which are not implemented by the plugin directly - e.g. are missing
or are inherited from the protocol.
"""
handler = getattr(handler_cls, method_name, None)
if handler is None:
return False
elif handler.__module__ == 'pydantic.plugin':
# this is the original handler, from the protocol due to runtime inheritance
# we don't want to call it
return False
else:
return True