from __future__ import annotations

import functools
import inspect
from contextlib import _GeneratorContextManager, asynccontextmanager, contextmanager
from itertools import groupby
from typing import (
    Any,
    Callable,
    Dict,
    List,
    Optional,
    Sequence,
    Tuple,
    Type,
    TypeVar,
    Union,
)
from typing import cast as typing_cast

from baize.asgi import FormData
from pydantic import BaseConfig, BaseModel, ValidationError, create_model
from typing_extensions import Annotated, get_args, get_origin, get_type_hints

from ..concurrency import always_async
from ..exceptions import RequestValidationError
from ..requests import request
from ..utils import (
    is_async_gen_callable,
    is_coroutine_callable,
    is_gen_callable,
    safe_issubclass,
)
from .fields import DependInfo, FieldInfo, RequestInfo, Undefined

CallableObject = TypeVar("CallableObject", bound=Callable)


def create_model_config(title: str = None, description: str = None) -> Type[BaseConfig]:
    class ExclusiveModelConfig(BaseConfig):
        schema_extra = {
            k: v
            for k, v in {"title": title, "description": description}.items()
            if v is not None
        }

    return ExclusiveModelConfig


sorted_groupby = lambda iterable, key: groupby(sorted(iterable, key=key), key=key)


def _merge_multi_value(
    items: Sequence[Tuple[str, Any]]
) -> Dict[str, Union[Any, List[Any]]]:
    """
    If there are values with the same key value, they are merged into a List.
    """
    return {
        k: v_list if len(v_list) > 1 else v_list[0]
        for k, v_list in (
            (k, [v for _, v in kv_iter])
            for k, kv_iter in sorted_groupby(items, lambda kv: kv[0])
        )
    }


def create_new_callback(callback: CallableObject) -> CallableObject:
    sig = inspect.signature(callback)

    raw_parameters: Dict[str, Any] = {
        key: {} for key in ["path", "query", "header", "cookie", "body"]
    }
    exclusive_models: Dict[BaseModel, str] = {}

    for name, param in sig.parameters.items():
        if not (
            isinstance(param.default, FieldInfo)
            or (
                get_origin(param.annotation) is Annotated
                and isinstance(get_args(param.annotation)[1], FieldInfo)
            )
        ):
            continue

        if param.POSITIONAL_ONLY:
            raise TypeError(
                f"Parameter {name} cannot be defined as positional only parameters."
            )

        if isinstance(param.default, FieldInfo):
            type_ = param.annotation
            info = param.default
        else:
            type_, info = get_args(param.annotation)

        if getattr(info, "exclusive", False):
            if safe_issubclass(type_, BaseModel):
                model = type_
            else:
                model = create_model(
                    "temporary_exclusive_model",
                    __config__=create_model_config(info.title, info.description),
                    __root__=(type_, ...),
                )
            raw_parameters[info._in] = model
            exclusive_models[model] = name
        else:
            if safe_issubclass(raw_parameters[info._in], BaseModel):
                raise RuntimeError(
                    f"{info._in.capitalize()}(exclusive=True) "
                    f"and {info._in.capitalize()} cannot be used at the same time"
                )
            if type_ == param.empty:
                type_ = Any
            raw_parameters[info._in][name] = (type_, info)

    for key, params in filter(
        lambda kv: kv[1],
        ((key, raw_parameters.pop(key)) for key in tuple(raw_parameters.keys())),
    ):
        if safe_issubclass(params, BaseModel):
            model = params
        else:
            model = create_model("temporary_model", **params)  # type: ignore
        raw_parameters[key] = model

    if "body" in raw_parameters:
        request_body: Optional[BaseModel] = raw_parameters.pop("body")
    else:
        request_body = None

    if raw_parameters:
        parameters: Optional[Dict[str, BaseModel]] = typing_cast(
            Dict[str, BaseModel], raw_parameters
        )
    else:
        parameters = None

    request_attrs: Dict[str, RequestInfo] = {
        **{
            name: param.default
            for name, param in sig.parameters.items()
            if isinstance(param.default, RequestInfo)
        },
        **{
            name: get_args(param.annotation)[1]
            for name, param in sig.parameters.items()
            if get_origin(param.annotation) is Annotated
            and isinstance(get_args(param.annotation)[1], RequestInfo)
        },
    }

    depend_attrs: Dict[str, DependInfo] = {
        **{
            name: param.default
            for name, param in sig.parameters.items()
            if isinstance(param.default, DependInfo)
        },
        **{
            name: get_args(param.annotation)[1]
            for name, param in sig.parameters.items()
            if get_origin(param.annotation) is Annotated
            and isinstance(get_args(param.annotation)[1], DependInfo)
        },
    }

    if not (parameters or request_body or request_attrs or depend_attrs):
        return callback

    depend_functions = {
        name: create_new_callback(
            typing_cast(
                CallableObject, always_async(info.call) if info.to_async else info.call
            )
        )
        for name, info in depend_attrs.items()
    }

    @functools.wraps(callback)
    async def callback_with_auto_bound_params(*args, **kwargs):
        data: List[Any] = []
        keyword_params: Dict[str, Any] = {}

        # try to call depend functions
        need_closes = []
        try:
            cache = request.state.setdefault("depend_functions_cache", {})
            for name, function in depend_functions.items():
                info = depend_attrs[name]
                if info.call in cache:
                    keyword_params[name] = cache[info.call]
                    continue
                if is_async_gen_callable(info.call):
                    asyncgenerator = asynccontextmanager(function)()
                    if inspect.isawaitable(asyncgenerator.gen):
                        asyncgenerator.gen = await asyncgenerator.gen
                    keyword_params[name] = await asyncgenerator.__aenter__()
                    need_closes.append(asyncgenerator)
                elif is_coroutine_callable(info.call):
                    keyword_params[name] = await function()
                elif is_gen_callable(info.call):
                    if info.to_async:
                        asyncgenerator = asynccontextmanager(function)()
                        if inspect.isawaitable(asyncgenerator.gen):
                            asyncgenerator.gen = await asyncgenerator.gen
                        keyword_params[name] = await asyncgenerator.__aenter__()
                        need_closes.append(asyncgenerator)
                    else:
                        generator = contextmanager(function)()
                        if inspect.isawaitable(generator.gen):
                            generator.gen = await generator.gen
                        keyword_params[name] = generator.__enter__()
                        need_closes.append(generator)
                else:
                    result = function()
                    if inspect.isawaitable(result):
                        result = await result
                    keyword_params[name] = result
                cache[info.call] = keyword_params[name]

            # try to get parameters model and parse
            if parameters:
                if "path" in parameters:
                    try:
                        data.append(parameters["path"].parse_obj(request.path_params))
                    except ValidationError as e:
                        raise RequestValidationError(e, "path")

                if "query" in parameters:
                    try:
                        data.append(
                            parameters["query"].parse_obj(
                                _merge_multi_value(request.query_params.multi_items())
                            )
                        )
                    except ValidationError as e:
                        raise RequestValidationError(e, "query")

                if "header" in parameters:
                    try:
                        data.append(parameters["header"].parse_obj(request.headers))
                    except ValidationError as e:
                        raise RequestValidationError(e, "header")

                if "cookie" in parameters:
                    try:
                        data.append(parameters["cookie"].parse_obj(request.cookies))
                    except ValidationError as e:
                        raise RequestValidationError(e, "cookie")

            # try to get body model and parse
            if request_body:
                _body_data = await request.data()
                if isinstance(_body_data, FormData):
                    _body_data = _merge_multi_value(_body_data.multi_items())
                try:
                    data.append(request_body.parse_obj(_body_data))
                except ValidationError as e:
                    raise RequestValidationError(e, "body")

            # try to get request instance attributes
            if request_attrs:
                for name, info in request_attrs.items():
                    try:
                        value: Any = functools.reduce(
                            lambda attr, name: getattr(attr, name),
                            (info.alias or name).split("."),
                            request,
                        )
                    except AttributeError:
                        if info.default is not Undefined:
                            value = info.default
                        elif info.default_factory is not None:
                            value = info.default_factory()
                        else:
                            raise
                    keyword_params[name] = value

            for _data in data:
                if _data.__class__.__name__ == "temporary_model":
                    keyword_params.update(
                        {name: getattr(_data, name) for name in _data.__fields__.keys()}
                    )
                elif _data.__class__.__name__ == "temporary_exclusive_model":
                    keyword_params[exclusive_models[_data.__class__]] = _data.__root__
                else:
                    keyword_params[exclusive_models[_data.__class__]] = _data

            result = callback(*args, **{**keyword_params, **kwargs})  # type: ignore
            if inspect.isawaitable(result):
                result = await result
            return result
        finally:
            for need_close in need_closes:
                if isinstance(need_close, _GeneratorContextManager):
                    need_close.__exit__(None, None, None)
                else:
                    await need_close.__aexit__(None, None, None)

    handler = callback_with_auto_bound_params

    if request_body is not None:
        __request_body__: List[BaseModel] = getattr(
            handler, "__docs_request_body__", []
        )
        __request_body__.append(request_body)
        setattr(handler, "__docs_request_body__", __request_body__)

    if parameters is not None:
        __parameters__: Dict[str, List[BaseModel]] = getattr(
            handler, "__docs_parameters__", {}
        )
        for key, parameter_model in parameters.items():
            __parameters__.setdefault(key, []).append(parameter_model)
        setattr(handler, "__docs_parameters__", __parameters__)

    for func in depend_functions.values():
        __request_body__ = getattr(handler, "__docs_request_body__", [])
        __request_body__.extend(getattr(func, "__docs_request_body__", []))
        setattr(handler, "__docs_request_body__", __request_body__)

        __parameters__ = getattr(handler, "__docs_parameters__", {})
        for key, value in getattr(func, "__docs_parameters__", {}).items():
            __parameters__.setdefault(key, []).extend(value)
        setattr(handler, "__docs_parameters__", __parameters__)

    __signature__ = inspect.Signature(
        parameters=[
            param
            for param in sig.parameters.values()
            if not (
                isinstance(param.default, (FieldInfo, RequestInfo, DependInfo))
                or (
                    get_origin(param.annotation) is Annotated
                    and isinstance(
                        get_args(param.annotation)[1], (FieldInfo, RequestInfo)
                    )
                )
            )
        ],
        return_annotation=sig.return_annotation,
    )
    setattr(callback_with_auto_bound_params, "__signature__", __signature__)

    del callback_with_auto_bound_params.__wrapped__  # type: ignore

    return callback_with_auto_bound_params  # type: ignore


def create_new_class(cls):
    """
    Create a fake class for auto-bound parameters.
    """

    @functools.wraps(cls, updated=())
    class NewClass(cls):
        pass

    return NewClass


def auto_params(handler: CallableObject) -> CallableObject:
    if inspect.isclass(handler) and hasattr(handler, "__methods__"):
        new_class = create_new_class(handler)
        for method in map(lambda x: x.lower(), handler.__methods__):  # type: ignore
            old_callback = getattr(handler, method)
            new_callback = create_new_callback(old_callback)
            setattr(new_class, method, new_callback)  # note: set to new class
            setattr(
                new_callback, "__docs_responses__", parse_docs_responses(old_callback)
            )
        setattr(new_class, "__raw_handler__", handler)
        return new_class
    elif inspect.iscoroutinefunction(handler) or (
        callable(handler) and inspect.iscoroutinefunction(handler.__call__)  # type: ignore
    ):
        old_callback = handler
        new_callback = create_new_callback(handler)
        setattr(new_callback, "__docs_responses__", parse_docs_responses(old_callback))
        setattr(new_callback, "__raw_handler__", handler)
        return new_callback
    else:
        return handler


def update_wrapper(
    new_handler: CallableObject, old_handler: Callable
) -> CallableObject:
    """
    Update wrapper for auto-bound parameters.
    """
    for attr in dir(old_handler):
        if attr.startswith("__docs_") or attr in ("__method__", "__methods__"):
            setattr(new_handler, attr, getattr(old_handler, attr))

    return new_handler


def parse_docs_responses(callback):
    return {
        **getattr(callback, "__docs_responses__", {}),
        **functools.reduce(
            lambda x, y: {**x, **y},
            (
                response
                for response in get_args(
                    (
                        get_type_hints(callback.__call__, include_extras=True)
                        if (callable(callback) and not inspect.isfunction(callback))
                        else get_type_hints(callback, include_extras=True)
                    ).get("return")
                )
                if isinstance(response, dict)
            ),
            {},
        ),
    }

from __future__ import annotations

import functools
import inspect
from contextlib import _GeneratorContextManager, asynccontextmanager, contextmanager
from itertools import groupby
from typing import (
    Any,
    Callable,
    Dict,
    List,
    Optional,
    Sequence,
    Tuple,
    Type,
    TypeVar,
    Union,
)
from typing import cast as typing_cast

from baize.asgi import FormData
from pydantic import BaseConfig, BaseModel, ValidationError, create_model
from typing_extensions import Annotated, get_args, get_origin, get_type_hints

from ..concurrency import always_async
from ..exceptions import RequestValidationError
from ..requests import request
from ..utils import (
    is_async_gen_callable,
    is_coroutine_callable,
    is_gen_callable,
    safe_issubclass,
)
from .fields import DependInfo, FieldInfo, RequestInfo, Undefined

CallableObject = TypeVar("CallableObject", bound=Callable)


def create_model_config(title: str = None, description: str = None) -> Type[BaseConfig]:
    class ExclusiveModelConfig(BaseConfig):
        schema_extra = {
            k: v
            for k, v in {"title": title, "description": description}.items()
            if v is not None
        }

    return ExclusiveModelConfig


sorted_groupby = lambda iterable, key: groupby(sorted(iterable, key=key), key=key)


def _merge_multi_value(
    items: Sequence[Tuple[str, Any]]
) -> Dict[str, Union[Any, List[Any]]]:
    """
    If there are values with the same key value, they are merged into a List.
    """
    return {
        k: v_list if len(v_list) > 1 else v_list[0]
        for k, v_list in (
            (k, [v for _, v in kv_iter])
            for k, kv_iter in sorted_groupby(items, lambda kv: kv[0])
        )
    }


def create_new_callback(callback: CallableObject) -> CallableObject:
    sig = inspect.signature(callback)

    raw_parameters: Dict[str, Any] = {
        key: {} for key in ["path", "query", "header", "cookie", "body"]
    }
    exclusive_models: Dict[BaseModel, str] = {}

    for name, param in sig.parameters.items():
        if not (
            isinstance(param.default, FieldInfo)
            or (
                get_origin(param.annotation) is Annotated
                and isinstance(get_args(param.annotation)[1], FieldInfo)
            )
        ):
            continue

        if param.POSITIONAL_ONLY:
            raise TypeError(
                f"Parameter {name} cannot be defined as positional only parameters."
            )

        if isinstance(param.default, FieldInfo):
            type_ = param.annotation
            info = param.default
        else:
            type_, info = get_args(param.annotation)

        if getattr(info, "exclusive", False):
            if safe_issubclass(type_, BaseModel):
                model = type_
            else:
                model = create_model(
                    "temporary_exclusive_model",
                    __config__=create_model_config(info.title, info.description),
                    __root__=(type_, ...),
                )
            raw_parameters[info._in] = model
            exclusive_models[model] = name
        else:
            if safe_issubclass(raw_parameters[info._in], BaseModel):
                raise RuntimeError(
                    f"{info._in.capitalize()}(exclusive=True) "
                    f"and {info._in.capitalize()} cannot be used at the same time"
                )
            if type_ == param.empty:
                type_ = Any
            raw_parameters[info._in][name] = (type_, info)

    for key, params in filter(
        lambda kv: kv[1],
        ((key, raw_parameters.pop(key)) for key in tuple(raw_parameters.keys())),
    ):
        if safe_issubclass(params, BaseModel):
            model = params
        else:
            model = create_model("temporary_model", **params)  # type: ignore
        raw_parameters[key] = model

    if "body" in raw_parameters:
        request_body: Optional[BaseModel] = raw_parameters.pop("body")
    else:
        request_body = None

    if raw_parameters:
        parameters: Optional[Dict[str, BaseModel]] = typing_cast(
            Dict[str, BaseModel], raw_parameters
        )
    else:
        parameters = None

    request_attrs: Dict[str, RequestInfo] = {
        **{
            name: param.default
            for name, param in sig.parameters.items()
            if isinstance(param.default, RequestInfo)
        },
        **{
            name: get_args(param.annotation)[1]
            for name, param in sig.parameters.items()
            if get_origin(param.annotation) is Annotated
            and isinstance(get_args(param.annotation)[1], RequestInfo)
        },
    }

    depend_attrs: Dict[str, DependInfo] = {
        **{
            name: param.default
            for name, param in sig.parameters.items()
            if isinstance(param.default, DependInfo)
        },
        **{
            name: get_args(param.annotation)[1]
            for name, param in sig.parameters.items()
            if get_origin(param.annotation) is Annotated
            and isinstance(get_args(param.annotation)[1], DependInfo)
        },
    }

    if not (parameters or request_body or request_attrs or depend_attrs):
        return callback

    depend_functions = {
        name: create_new_callback(
            typing_cast(
                CallableObject, always_async(info.call) if info.to_async else info.call
            )
        )
        for name, info in depend_attrs.items()
    }

    @functools.wraps(callback)
    async def callback_with_auto_bound_params(*args, **kwargs):
        data: List[Any] = []
        keyword_params: Dict[str, Any] = {}

        # try to call depend functions
        need_closes = []
        try:
            cache = request.state.setdefault("depend_functions_cache", {})
            for name, function in depend_functions.items():
                info = depend_attrs[name]
                if info.call in cache:
                    keyword_params[name] = cache[info.call]
                    continue
                if is_async_gen_callable(info.call):
                    asyncgenerator = asynccontextmanager(function)()
                    if inspect.isawaitable(asyncgenerator.gen):
                        asyncgenerator.gen = await asyncgenerator.gen
                    keyword_params[name] = await asyncgenerator.__aenter__()
                    need_closes.append(asyncgenerator)
                elif is_coroutine_callable(info.call):
                    keyword_params[name] = await function()
                elif is_gen_callable(info.call):
                    if info.to_async:
                        asyncgenerator = asynccontextmanager(function)()
                        if inspect.isawaitable(asyncgenerator.gen):
                            asyncgenerator.gen = await asyncgenerator.gen
                        keyword_params[name] = await asyncgenerator.__aenter__()
                        need_closes.append(asyncgenerator)
                    else:
                        generator = contextmanager(function)()
                        if inspect.isawaitable(generator.gen):
                            generator.gen = await generator.gen
                        keyword_params[name] = generator.__enter__()
                        need_closes.append(generator)
                else:
                    result = function()
                    if inspect.isawaitable(result):
                        result = await result
                    keyword_params[name] = result
                cache[info.call] = keyword_params[name]

            # try to get parameters model and parse
            if parameters:
                if "path" in parameters:
                    try:
                        data.append(parameters["path"].parse_obj(request.path_params))
                    except ValidationError as e:
                        raise RequestValidationError(e, "path")

                if "query" in parameters:
                    try:
                        data.append(
                            parameters["query"].parse_obj(
                                _merge_multi_value(request.query_params.multi_items())
                            )
                        )
                    except ValidationError as e:
                        raise RequestValidationError(e, "query")

                if "header" in parameters:
                    try:
                        data.append(parameters["header"].parse_obj(request.headers))
                    except ValidationError as e:
                        raise RequestValidationError(e, "header")

                if "cookie" in parameters:
                    try:
                        data.append(parameters["cookie"].parse_obj(request.cookies))
                    except ValidationError as e:
                        raise RequestValidationError(e, "cookie")

            # try to get body model and parse
            if request_body:
                _body_data = await request.data()
                if isinstance(_body_data, FormData):
                    _body_data = _merge_multi_value(_body_data.multi_items())
                try:
                    data.append(request_body.parse_obj(_body_data))
                except ValidationError as e:
                    raise RequestValidationError(e, "body")

            # try to get request instance attributes
            if request_attrs:
                for name, info in request_attrs.items():
                    try:
                        value: Any = functools.reduce(
                            lambda attr, name: getattr(attr, name),
                            (info.alias or name).split("."),
                            request,
                        )
                    except AttributeError:
                        if info.default is not Undefined:
                            value = info.default
                        elif info.default_factory is not None:
                            value = info.default_factory()
                        else:
                            raise
                    keyword_params[name] = value

            for _data in data:
                if _data.__class__.__name__ == "temporary_model":
                    keyword_params.update(
                        {name: getattr(_data, name) for name in _data.__fields__.keys()}
                    )
                elif _data.__class__.__name__ == "temporary_exclusive_model":
                    keyword_params[exclusive_models[_data.__class__]] = _data.__root__
                else:
                    keyword_params[exclusive_models[_data.__class__]] = _data

            result = callback(*args, **{**keyword_params, **kwargs})  # type: ignore
            if inspect.isawaitable(result):
                result = await result
            return result
        finally:
            for need_close in need_closes:
                if isinstance(need_close, _GeneratorContextManager):
                    need_close.__exit__(None, None, None)
                else:
                    await need_close.__aexit__(None, None, None)

    handler = callback_with_auto_bound_params

    if request_body is not None:
        __request_body__: List[BaseModel] = getattr(
            handler, "__docs_request_body__", []
        )
        __request_body__.append(request_body)
        setattr(handler, "__docs_request_body__", __request_body__)

    if parameters is not None:
        __parameters__: Dict[str, List[BaseModel]] = getattr(
            handler, "__docs_parameters__", {}
        )
        for key, parameter_model in parameters.items():
            __parameters__.setdefault(key, []).append(parameter_model)
        setattr(handler, "__docs_parameters__", __parameters__)

    for func in depend_functions.values():
        __request_body__ = getattr(handler, "__docs_request_body__", [])
        __request_body__.extend(getattr(func, "__docs_request_body__", []))
        setattr(handler, "__docs_request_body__", __request_body__)

        __parameters__ = getattr(handler, "__docs_parameters__", {})
        for key, value in getattr(func, "__docs_parameters__", {}).items():
            __parameters__.setdefault(key, []).extend(value)
        setattr(handler, "__docs_parameters__", __parameters__)

    __signature__ = inspect.Signature(
        parameters=[
            param
            for param in sig.parameters.values()
            if not (
                isinstance(param.default, (FieldInfo, RequestInfo, DependInfo))
                or (
                    get_origin(param.annotation) is Annotated
                    and isinstance(
                        get_args(param.annotation)[1], (FieldInfo, RequestInfo)
                    )
                )
            )
        ],
        return_annotation=sig.return_annotation,
    )
    setattr(callback_with_auto_bound_params, "__signature__", __signature__)

    del callback_with_auto_bound_params.__wrapped__  # type: ignore

    return callback_with_auto_bound_params  # type: ignore


def create_new_class(cls):
    """
    Create a fake class for auto-bound parameters.
    """

    @functools.wraps(cls, updated=())
    class NewClass(cls):
        pass

    return NewClass


def auto_params(handler: CallableObject) -> CallableObject:
    if inspect.isclass(handler) and hasattr(handler, "__methods__"):
        new_class = create_new_class(handler)
        for method in map(lambda x: x.lower(), handler.__methods__):  # type: ignore
            old_callback = getattr(handler, method)
            new_callback = create_new_callback(old_callback)
            setattr(new_class, method, new_callback)  # note: set to new class
            setattr(
                new_callback, "__docs_responses__", parse_docs_responses(old_callback)
            )
        setattr(new_class, "__raw_handler__", handler)
        return new_class
    elif inspect.iscoroutinefunction(handler) or (
        callable(handler) and inspect.iscoroutinefunction(handler.__call__)  # type: ignore
    ):
        old_callback = handler
        new_callback = create_new_callback(handler)
        setattr(new_callback, "__docs_responses__", parse_docs_responses(old_callback))
        setattr(new_callback, "__raw_handler__", handler)
        return new_callback
    else:
        return handler


def update_wrapper(
    new_handler: CallableObject, old_handler: Callable
) -> CallableObject:
    """
    Update wrapper for auto-bound parameters.
    """
    for attr in dir(old_handler):
        if attr.startswith("__docs_") or attr in ("__method__", "__methods__"):
            setattr(new_handler, attr, getattr(old_handler, attr))

    return new_handler


def parse_docs_responses(callback):
    return {
        **getattr(callback, "__docs_responses__", {}),
        **functools.reduce(
            lambda x, y: {**x, **y},
            (
                response
                for response in get_args(
                    (
                        get_type_hints(callback.__call__, include_extras=True)
                        if (callable(callback) and not inspect.isfunction(callback))
                        else get_type_hints(callback, include_extras=True)
                    ).get("return")
                )
                if isinstance(response, dict)
            ),
            {},
        ),
    }

If there are values with the same key value, they are merged into a List. # type: ignore # try to call depend functions # try to get parameters model and parse # try to get body model and parse # try to get request instance attributes # type: ignore # type: ignore # type: ignore Create a fake class for auto-bound parameters. # type: ignore # note: set to new class # type: ignore Update wrapper for auto-bound parameters.