<gh_stars>1-10
import inspect
from typing import Any, Sequence, Set, TypeVar, Type, Dict, Tuple

from .node import (
    ConfigNode,
    ConfigFlexNode,
    ConfigParam,
    ConfigParamMeta
)

__all__ = ['ConfigParamMultiType',
           'ConfigParamDictOfConfigNodes',
           'ConfigParamLiteral']

T = TypeVar('T')


class _MultiTypeMeta(ConfigParamMeta):
    types: Tuple[Type]

    def __subclasscheck__(cls: '_MultiTypeMeta', __subclass: Type) -> bool:
        return issubclass(__subclass, cls.types)


class _MultiType(metaclass=_MultiTypeMeta):
    types: Tuple[Type]

    def __str__(self: '_MultiType') -> str:
        types_repr = "|".join(repr(t) for t in self.types)
        return f'{type(self).__name__}({types_repr})'

    def __repr__(self: '_MultiType') -> str:
        return self.__str__()

    def __instancecheck__(self: '_MultiType', __instance: Type) -> bool:
        return isinstance(__instance, self.types)

    def __new__(cls: Type['_MultiType'], to_cast: T) -> T:
        if not isinstance(to_cast, cls.types):
            # we try to cast one type at the time
            for t in cls.types:
                try:
                    # we immediately return in case
                    # casting is successful
                    return t(to_cast)

                except Exception:
                    # we raise an exception at the end if no casting
                    # occurs, so we pass for now
                    ...

            msg = (f'`{to_cast}` cannot be casted to ' +
                   ", ".join(t.__name__ for t in cls.types))
            raise ValueError(msg)

        return to_cast


class ConfigParamMultiType(ConfigParam):
    """A ConfigParameter that accepts multiple types.
    casting to parameters is resolved in the order they
    are provided."""
    _types: Tuple[Type]

    def __init__(self: 'ConfigParamMultiType',
                 *target_types: Sequence[Type],
                 **kwargs) -> None:
        # in case target types is an iterable
        target_types = tuple(t for t in target_types)

        if len(target_types) < 1:
            raise ValueError('Must provide at least one type')

        if any(inspect.isclass(t) and issubclass(t, ConfigNode)
               for t in target_types):
            # TODO: support nested configs
            msg = (f'{type(self).__name__} does not currently accept '
                   'ConfigNode as one of the provided types.')
            raise ValueError(msg)

        self._types = target_types
        super().__init__(**kwargs)

    @property
    def type(self: 'ConfigParamMultiType') -> Type[_MultiType]:
        # because the dynamic class doesn't get pickled, we
        # are good to go here!
        target_type_repr = ', '.join(t.__name__ for t in self._types)
        return type(f'MultiType({target_type_repr})',
                    (_MultiType, ),
                    {'types': self._types})


class _MultiLiteralTypeMeta(_MultiTypeMeta):
    ...

    def __getitem__(cls, parameters: Sequence[Type[T]]) -> Type[T]:
        return super().__getitem__(*parameters)


class _MultiLiteralType(_MultiType):
    literals: Set[Any]

    def __instancecheck__(self, __instance: Any) -> bool:
        return (super().__instancecheck__(__instance) and
                __instance in self.literals)

    def __new__(cls, *args, **kwargs):
        obj = super().__new__(cls, *args, **kwargs)
        if obj not in cls.literals:
            lit_repr = ", ".join(f'`{lit}`' for lit in cls.literals)
            raise ValueError(f'{obj} not in {{{lit_repr}}}')
        return obj


class ConfigParamLiteral(ConfigParamMultiType,
                         metaclass=_MultiLiteralTypeMeta):
    """A ConfigParam that accept specific values."""

    def __init__(self: 'ConfigParamLiteral',
                 *literals: Any,
                 **kwargs: Any) -> None:
        if len(literals) < 1:
            raise ValueError('At least one literal must be provided')

        self._literals = literals

        super().__init__(*(type(e) for e in self._literals), **kwargs)

    @property
    def type(self: 'ConfigParamLiteral') -> Type[_MultiLiteralType]:
        target_type_repr = ', '.join(str(t) for t in self._types)
        target_lit_repr = f'{{{", ".join(self._literals)}}}'
        return type(
            f'MultiLiteralType({target_type_repr}; {target_lit_repr})',
            (_MultiLiteralType, ),
            {'types': self._types, 'literals': self._literals}
        )


class _DictOfConfigNodes(ConfigFlexNode):
    node_cls: Type[ConfigNode]

    def __new__(cls: Type['_DictOfConfigNodes'],
                config: Dict[str, dict],
                *args,
                **kwargs):
        config_params = {node_name: cls.node_cls(node_config, *args, **kwargs)
                         for node_name, node_config in config.items()}
        return ConfigFlexNode(config_params, *args, **kwargs)


class ConfigParamDictOfConfigNodes(ConfigParam):
    """A special parameter that contains a dictionary of ConfigNodes.
    Useful for when you want to provide a bunch of nodes, but you are
    not sure what the name of keys are. Usage:

    ```python
    from espresso_config import (
        NodeConfig, DictOfConfigNodes, ConfigParam
    )

    class ConfigA(NodeConfig):
        p: ConfigParam(int)

    class RootConfig(NodeConfig):
        dict_of_configs: ConfigParamDictOfConfigNodes(ConfigA) = {}

    ```

    and in the corresponding yaml file:

    ```yaml
    dict_of_configs:
        first_config:
            p: 1
        second_config:
            p: 2
        ...
    ```
    """

    def __init__(self: 'ConfigParamDictOfConfigNodes',
                 node_cls: Type[ConfigNode],
                 **kwargs: Any) -> None:
        self.node_cls = node_cls
        super().__init__(**kwargs)

    @property
    def type(self: 'ConfigParamDictOfConfigNodes') -> Type[_DictOfConfigNodes]:
        # because the dynamic class doesn't get pickled, we
        # are good to go here!
        return type(f'DictOfConfigNodes({self.node_cls.__name__})',
                    (_DictOfConfigNodes, ),
                    {'node_cls': self.node_cls})

import inspect
from typing import Any, Sequence, Set, TypeVar, Type, Dict, Tuple

from .node import (
    ConfigNode,
    ConfigFlexNode,
    ConfigParam,
    ConfigParamMeta
)

__all__ = ['ConfigParamMultiType',
           'ConfigParamDictOfConfigNodes',
           'ConfigParamLiteral']

T = TypeVar('T')


class _MultiTypeMeta(ConfigParamMeta):
    types: Tuple[Type]

    def __subclasscheck__(cls: '_MultiTypeMeta', __subclass: Type) -> bool:
        return issubclass(__subclass, cls.types)


class _MultiType(metaclass=_MultiTypeMeta):
    types: Tuple[Type]

    def __str__(self: '_MultiType') -> str:
        types_repr = "|".join(repr(t) for t in self.types)
        return f'{type(self).__name__}({types_repr})'

    def __repr__(self: '_MultiType') -> str:
        return self.__str__()

    def __instancecheck__(self: '_MultiType', __instance: Type) -> bool:
        return isinstance(__instance, self.types)

    def __new__(cls: Type['_MultiType'], to_cast: T) -> T:
        if not isinstance(to_cast, cls.types):
            # we try to cast one type at the time
            for t in cls.types:
                try:
                    # we immediately return in case
                    # casting is successful
                    return t(to_cast)

                except Exception:
                    # we raise an exception at the end if no casting
                    # occurs, so we pass for now
                    ...

            msg = (f'`{to_cast}` cannot be casted to ' +
                   ", ".join(t.__name__ for t in cls.types))
            raise ValueError(msg)

        return to_cast


class ConfigParamMultiType(ConfigParam):
    """A ConfigParameter that accepts multiple types.
    casting to parameters is resolved in the order they
    are provided."""
    _types: Tuple[Type]

    def __init__(self: 'ConfigParamMultiType',
                 *target_types: Sequence[Type],
                 **kwargs) -> None:
        # in case target types is an iterable
        target_types = tuple(t for t in target_types)

        if len(target_types) < 1:
            raise ValueError('Must provide at least one type')

        if any(inspect.isclass(t) and issubclass(t, ConfigNode)
               for t in target_types):
            # TODO: support nested configs
            msg = (f'{type(self).__name__} does not currently accept '
                   'ConfigNode as one of the provided types.')
            raise ValueError(msg)

        self._types = target_types
        super().__init__(**kwargs)

    @property
    def type(self: 'ConfigParamMultiType') -> Type[_MultiType]:
        # because the dynamic class doesn't get pickled, we
        # are good to go here!
        target_type_repr = ', '.join(t.__name__ for t in self._types)
        return type(f'MultiType({target_type_repr})',
                    (_MultiType, ),
                    {'types': self._types})


class _MultiLiteralTypeMeta(_MultiTypeMeta):
    ...

    def __getitem__(cls, parameters: Sequence[Type[T]]) -> Type[T]:
        return super().__getitem__(*parameters)


class _MultiLiteralType(_MultiType):
    literals: Set[Any]

    def __instancecheck__(self, __instance: Any) -> bool:
        return (super().__instancecheck__(__instance) and
                __instance in self.literals)

    def __new__(cls, *args, **kwargs):
        obj = super().__new__(cls, *args, **kwargs)
        if obj not in cls.literals:
            lit_repr = ", ".join(f'`{lit}`' for lit in cls.literals)
            raise ValueError(f'{obj} not in {{{lit_repr}}}')
        return obj


class ConfigParamLiteral(ConfigParamMultiType,
                         metaclass=_MultiLiteralTypeMeta):
    """A ConfigParam that accept specific values."""

    def __init__(self: 'ConfigParamLiteral',
                 *literals: Any,
                 **kwargs: Any) -> None:
        if len(literals) < 1:
            raise ValueError('At least one literal must be provided')

        self._literals = literals

        super().__init__(*(type(e) for e in self._literals), **kwargs)

    @property
    def type(self: 'ConfigParamLiteral') -> Type[_MultiLiteralType]:
        target_type_repr = ', '.join(str(t) for t in self._types)
        target_lit_repr = f'{{{", ".join(self._literals)}}}'
        return type(
            f'MultiLiteralType({target_type_repr}; {target_lit_repr})',
            (_MultiLiteralType, ),
            {'types': self._types, 'literals': self._literals}
        )


class _DictOfConfigNodes(ConfigFlexNode):
    node_cls: Type[ConfigNode]

    def __new__(cls: Type['_DictOfConfigNodes'],
                config: Dict[str, dict],
                *args,
                **kwargs):
        config_params = {node_name: cls.node_cls(node_config, *args, **kwargs)
                         for node_name, node_config in config.items()}
        return ConfigFlexNode(config_params, *args, **kwargs)


class ConfigParamDictOfConfigNodes(ConfigParam):
    """A special parameter that contains a dictionary of ConfigNodes.
    Useful for when you want to provide a bunch of nodes, but you are
    not sure what the name of keys are. Usage:

    ```python
    from espresso_config import (
        NodeConfig, DictOfConfigNodes, ConfigParam
    )

    class ConfigA(NodeConfig):
        p: ConfigParam(int)

    class RootConfig(NodeConfig):
        dict_of_configs: ConfigParamDictOfConfigNodes(ConfigA) = {}

    ```

    and in the corresponding yaml file:

    ```yaml
    dict_of_configs:
        first_config:
            p: 1
        second_config:
            p: 2
        ...
    ```
    """

    def __init__(self: 'ConfigParamDictOfConfigNodes',
                 node_cls: Type[ConfigNode],
                 **kwargs: Any) -> None:
        self.node_cls = node_cls
        super().__init__(**kwargs)

    @property
    def type(self: 'ConfigParamDictOfConfigNodes') -> Type[_DictOfConfigNodes]:
        # because the dynamic class doesn't get pickled, we
        # are good to go here!
        return type(f'DictOfConfigNodes({self.node_cls.__name__})',
                    (_DictOfConfigNodes, ),
                    {'node_cls': self.node_cls})
# we try to cast one type at the time # we immediately return in case # casting is successful # we raise an exception at the end if no casting # occurs, so we pass for now A ConfigParameter that accepts multiple types.     casting to parameters is resolved in the order they     are provided. # in case target types is an iterable # TODO: support nested configs # because the dynamic class doesn't get pickled, we # are good to go here! A ConfigParam that accept specific values. A special parameter that contains a dictionary of ConfigNodes.     Useful for when you want to provide a bunch of nodes, but you are     not sure what the name of keys are. Usage:      ```python     from espresso_config import (         NodeConfig, DictOfConfigNodes, ConfigParam     )      class ConfigA(NodeConfig):         p: ConfigParam(int)      class RootConfig(NodeConfig):         dict_of_configs: ConfigParamDictOfConfigNodes(ConfigA) = {}      ```      and in the corresponding yaml file:      ```yaml     dict_of_configs:         first_config:             p: 1         second_config:             p: 2         ...     ``` # because the dynamic class doesn't get pickled, we # are good to go here!