bazarr/libs/pydantic/class_validators.py

import warnings
from collections import ChainMap
from functools import partial, partialmethod, wraps
from itertools import chain
from types import FunctionType
from typing import TYPE_CHECKING, Any, Callable, Dict, Iterable, List, Optional, Set, Tuple, Type, Union, overload

from .errors import ConfigError
from .typing import AnyCallable
from .utils import ROOT_KEY, in_ipython

if TYPE_CHECKING:
    from .typing import AnyClassMethod


class Validator:
    __slots__ = 'func', 'pre', 'each_item', 'always', 'check_fields', 'skip_on_failure'

    def __init__(
        self,
        func: AnyCallable,
        pre: bool = False,
        each_item: bool = False,
        always: bool = False,
        check_fields: bool = False,
        skip_on_failure: bool = False,
    ):
        self.func = func
        self.pre = pre
        self.each_item = each_item
        self.always = always
        self.check_fields = check_fields
        self.skip_on_failure = skip_on_failure


if TYPE_CHECKING:
    from inspect import Signature

    from .config import BaseConfig
    from .fields import ModelField
    from .types import ModelOrDc

    ValidatorCallable = Callable[[Optional[ModelOrDc], Any, Dict[str, Any], ModelField, Type[BaseConfig]], Any]
    ValidatorsList = List[ValidatorCallable]
    ValidatorListDict = Dict[str, List[Validator]]

_FUNCS: Set[str] = set()
VALIDATOR_CONFIG_KEY = '__validator_config__'
ROOT_VALIDATOR_CONFIG_KEY = '__root_validator_config__'


def validator(
    *fields: str,
    pre: bool = False,
    each_item: bool = False,
    always: bool = False,
    check_fields: bool = True,
    whole: Optional[bool] = None,
    allow_reuse: bool = False,
) -> Callable[[AnyCallable], 'AnyClassMethod']:
    """
    Decorate methods on the class indicating that they should be used to validate fields
    :param fields: which field(s) the method should be called on
    :param pre: whether or not this validator should be called before the standard validators (else after)
    :param each_item: for complex objects (sets, lists etc.) whether to validate individual elements rather than the
      whole object
    :param always: whether this method and other validators should be called even if the value is missing
    :param check_fields: whether to check that the fields actually exist on the model
    :param allow_reuse: whether to track and raise an error if another validator refers to the decorated function
    """
    if not fields:
        raise ConfigError('validator with no fields specified')
    elif isinstance(fields[0], FunctionType):
        raise ConfigError(
            "validators should be used with fields and keyword arguments, not bare. "  # noqa: Q000
            "E.g. usage should be `@validator('<field_name>', ...)`"
        )
    elif not all(isinstance(field, str) for field in fields):
        raise ConfigError(
            "validator fields should be passed as separate string args. "  # noqa: Q000
            "E.g. usage should be `@validator('<field_name_1>', '<field_name_2>', ...)`"
        )

    if whole is not None:
        warnings.warn(
            'The "whole" keyword argument is deprecated, use "each_item" (inverse meaning, default False) instead',
            DeprecationWarning,
        )
        assert each_item is False, '"each_item" and "whole" conflict, remove "whole"'
        each_item = not whole

    def dec(f: AnyCallable) -> 'AnyClassMethod':
        f_cls = _prepare_validator(f, allow_reuse)
        setattr(
            f_cls,
            VALIDATOR_CONFIG_KEY,
            (
                fields,
                Validator(func=f_cls.__func__, pre=pre, each_item=each_item, always=always, check_fields=check_fields),
            ),
        )
        return f_cls

    return dec


@overload
def root_validator(_func: AnyCallable) -> 'AnyClassMethod':
    ...


@overload
def root_validator(
    *, pre: bool = False, allow_reuse: bool = False, skip_on_failure: bool = False
) -> Callable[[AnyCallable], 'AnyClassMethod']:
    ...


def root_validator(
    _func: Optional[AnyCallable] = None, *, pre: bool = False, allow_reuse: bool = False, skip_on_failure: bool = False
) -> Union['AnyClassMethod', Callable[[AnyCallable], 'AnyClassMethod']]:
    """
    Decorate methods on a model indicating that they should be used to validate (and perhaps modify) data either
    before or after standard model parsing/validation is performed.
    """
    if _func:
        f_cls = _prepare_validator(_func, allow_reuse)
        setattr(
            f_cls, ROOT_VALIDATOR_CONFIG_KEY, Validator(func=f_cls.__func__, pre=pre, skip_on_failure=skip_on_failure)
        )
        return f_cls

    def dec(f: AnyCallable) -> 'AnyClassMethod':
        f_cls = _prepare_validator(f, allow_reuse)
        setattr(
            f_cls, ROOT_VALIDATOR_CONFIG_KEY, Validator(func=f_cls.__func__, pre=pre, skip_on_failure=skip_on_failure)
        )
        return f_cls

    return dec


def _prepare_validator(function: AnyCallable, allow_reuse: bool) -> 'AnyClassMethod':
    """
    Avoid validators with duplicated names since without this, validators can be overwritten silently
    which generally isn't the intended behaviour, don't run in ipython (see #312) or if allow_reuse is False.
    """
    f_cls = function if isinstance(function, classmethod) else classmethod(function)
    if not in_ipython() and not allow_reuse:
        ref = (
            getattr(f_cls.__func__, '__module__', '<No __module__>')
            + '.'
            + getattr(f_cls.__func__, '__qualname__', f'<No __qualname__: id:{id(f_cls.__func__)}>')
        )
        if ref in _FUNCS:
            raise ConfigError(f'duplicate validator function "{ref}"; if this is intended, set `allow_reuse=True`')
        _FUNCS.add(ref)
    return f_cls


class ValidatorGroup:
    def __init__(self, validators: 'ValidatorListDict') -> None:
        self.validators = validators
        self.used_validators = {'*'}

    def get_validators(self, name: str) -> Optional[Dict[str, Validator]]:
        self.used_validators.add(name)
        validators = self.validators.get(name, [])
        if name != ROOT_KEY:
            validators += self.validators.get('*', [])
        if validators:
            return {getattr(v.func, '__name__', f'<No __name__: id:{id(v.func)}>'): v for v in validators}
        else:
            return None

    def check_for_unused(self) -> None:
        unused_validators = set(
            chain.from_iterable(
                (
                    getattr(v.func, '__name__', f'<No __name__: id:{id(v.func)}>')
                    for v in self.validators[f]
                    if v.check_fields
                )
                for f in (self.validators.keys() - self.used_validators)
            )
        )
        if unused_validators:
            fn = ', '.join(unused_validators)
            raise ConfigError(
                f"Validators defined with incorrect fields: {fn} "  # noqa: Q000
                f"(use check_fields=False if you're inheriting from the model and intended this)"
            )


def extract_validators(namespace: Dict[str, Any]) -> Dict[str, List[Validator]]:
    validators: Dict[str, List[Validator]] = {}
    for var_name, value in namespace.items():
        validator_config = getattr(value, VALIDATOR_CONFIG_KEY, None)
        if validator_config:
            fields, v = validator_config
            for field in fields:
                if field in validators:
                    validators[field].append(v)
                else:
                    validators[field] = [v]
    return validators


def extract_root_validators(namespace: Dict[str, Any]) -> Tuple[List[AnyCallable], List[Tuple[bool, AnyCallable]]]:
    from inspect import signature

    pre_validators: List[AnyCallable] = []
    post_validators: List[Tuple[bool, AnyCallable]] = []
    for name, value in namespace.items():
        validator_config: Optional[Validator] = getattr(value, ROOT_VALIDATOR_CONFIG_KEY, None)
        if validator_config:
            sig = signature(validator_config.func)
            args = list(sig.parameters.keys())
            if args[0] == 'self':
                raise ConfigError(
                    f'Invalid signature for root validator {name}: {sig}, "self" not permitted as first argument, '
                    f'should be: (cls, values).'
                )
            if len(args) != 2:
                raise ConfigError(f'Invalid signature for root validator {name}: {sig}, should be: (cls, values).')
            # check function signature
            if validator_config.pre:
                pre_validators.append(validator_config.func)
            else:
                post_validators.append((validator_config.skip_on_failure, validator_config.func))
    return pre_validators, post_validators


def inherit_validators(base_validators: 'ValidatorListDict', validators: 'ValidatorListDict') -> 'ValidatorListDict':
    for field, field_validators in base_validators.items():
        if field not in validators:
            validators[field] = []
        validators[field] += field_validators
    return validators


def make_generic_validator(validator: AnyCallable) -> 'ValidatorCallable':
    """
    Make a generic function which calls a validator with the right arguments.

    Unfortunately other approaches (eg. return a partial of a function that builds the arguments) is slow,
    hence this laborious way of doing things.

    It's done like this so validators don't all need **kwargs in their signature, eg. any combination of
    the arguments "values", "fields" and/or "config" are permitted.
    """
    from inspect import signature

    if not isinstance(validator, (partial, partialmethod)):
        # This should be the default case, so overhead is reduced
        sig = signature(validator)
        args = list(sig.parameters.keys())
    else:
        # Fix the generated argument lists of partial methods
        sig = signature(validator.func)
        args = [
            k
            for k in signature(validator.func).parameters.keys()
            if k not in validator.args | validator.keywords.keys()
        ]

    first_arg = args.pop(0)
    if first_arg == 'self':
        raise ConfigError(
            f'Invalid signature for validator {validator}: {sig}, "self" not permitted as first argument, '
            f'should be: (cls, value, values, config, field), "values", "config" and "field" are all optional.'
        )
    elif first_arg == 'cls':
        # assume the second argument is value
        return wraps(validator)(_generic_validator_cls(validator, sig, set(args[1:])))
    else:
        # assume the first argument was value which has already been removed
        return wraps(validator)(_generic_validator_basic(validator, sig, set(args)))


def prep_validators(v_funcs: Iterable[AnyCallable]) -> 'ValidatorsList':
    return [make_generic_validator(f) for f in v_funcs if f]


all_kwargs = {'values', 'field', 'config'}


def _generic_validator_cls(validator: AnyCallable, sig: 'Signature', args: Set[str]) -> 'ValidatorCallable':
    # assume the first argument is value
    has_kwargs = False
    if 'kwargs' in args:
        has_kwargs = True
        args -= {'kwargs'}

    if not args.issubset(all_kwargs):
        raise ConfigError(
            f'Invalid signature for validator {validator}: {sig}, should be: '
            f'(cls, value, values, config, field), "values", "config" and "field" are all optional.'
        )

    if has_kwargs:
        return lambda cls, v, values, field, config: validator(cls, v, values=values, field=field, config=config)
    elif args == set():
        return lambda cls, v, values, field, config: validator(cls, v)
    elif args == {'values'}:
        return lambda cls, v, values, field, config: validator(cls, v, values=values)
    elif args == {'field'}:
        return lambda cls, v, values, field, config: validator(cls, v, field=field)
    elif args == {'config'}:
        return lambda cls, v, values, field, config: validator(cls, v, config=config)
    elif args == {'values', 'field'}:
        return lambda cls, v, values, field, config: validator(cls, v, values=values, field=field)
    elif args == {'values', 'config'}:
        return lambda cls, v, values, field, config: validator(cls, v, values=values, config=config)
    elif args == {'field', 'config'}:
        return lambda cls, v, values, field, config: validator(cls, v, field=field, config=config)
    else:
        # args == {'values', 'field', 'config'}
        return lambda cls, v, values, field, config: validator(cls, v, values=values, field=field, config=config)


def _generic_validator_basic(validator: AnyCallable, sig: 'Signature', args: Set[str]) -> 'ValidatorCallable':
    has_kwargs = False
    if 'kwargs' in args:
        has_kwargs = True
        args -= {'kwargs'}

    if not args.issubset(all_kwargs):
        raise ConfigError(
            f'Invalid signature for validator {validator}: {sig}, should be: '
            f'(value, values, config, field), "values", "config" and "field" are all optional.'
        )

    if has_kwargs:
        return lambda cls, v, values, field, config: validator(v, values=values, field=field, config=config)
    elif args == set():
        return lambda cls, v, values, field, config: validator(v)
    elif args == {'values'}:
        return lambda cls, v, values, field, config: validator(v, values=values)
    elif args == {'field'}:
        return lambda cls, v, values, field, config: validator(v, field=field)
    elif args == {'config'}:
        return lambda cls, v, values, field, config: validator(v, config=config)
    elif args == {'values', 'field'}:
        return lambda cls, v, values, field, config: validator(v, values=values, field=field)
    elif args == {'values', 'config'}:
        return lambda cls, v, values, field, config: validator(v, values=values, config=config)
    elif args == {'field', 'config'}:
        return lambda cls, v, values, field, config: validator(v, field=field, config=config)
    else:
        # args == {'values', 'field', 'config'}
        return lambda cls, v, values, field, config: validator(v, values=values, field=field, config=config)


def gather_all_validators(type_: 'ModelOrDc') -> Dict[str, 'AnyClassMethod']:
    all_attributes = ChainMap(*[cls.__dict__ for cls in type_.__mro__])  # type: ignore[arg-type,var-annotated]
    return {
        k: v
        for k, v in all_attributes.items()
        if hasattr(v, VALIDATOR_CONFIG_KEY) or hasattr(v, ROOT_VALIDATOR_CONFIG_KEY)
    }