#  Copyright 2008-2015 Nokia Networks
#  Copyright 2016-     Robot Framework Foundation
#
#  Licensed under the Apache License, Version 2.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
#  Unless required by applicable law or agreed to in writing, software
#  distributed under the License is distributed on an "AS IS" BASIS,
#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#  See the License for the specific language governing permissions and
#  limitations under the License.

from collections.abc import Mapping, Sequence
from typing import TYPE_CHECKING

from robot.errors import DataError
from robot.utils import (
    is_dict_like, is_list_like, plural_or_not as s, seq2str, type_name
)

from .typeinfo import TypeInfo

if TYPE_CHECKING:
    from .argumentspec import ArgumentSpec


class TypeValidator:

    def __init__(self, spec: "ArgumentSpec"):
        self.spec = spec

    def validate(self, types: "Mapping|Sequence|None") -> "dict[str, TypeInfo]|None":
        if types is None:
            return None
        if not types:
            return {}
        if is_dict_like(types):
            self._validate_type_dict(types)
        elif is_list_like(types):
            types = self._type_list_to_dict(types)
        else:
            raise DataError(
                f"Type information must be given as a dictionary or a list, "
                f"got {type_name(types)}."
            )
        return {
            k: TypeInfo.from_type_hint(types[k], sequence_is_union=True) for k in types
        }

    def _validate_type_dict(self, types: Mapping):
        names = set(self.spec.argument_names)
        extra = [t for t in types if t not in names]
        if extra:
            raise DataError(
                f"Type information given to non-existing "
                f"argument{s(extra)} {seq2str(sorted(extra))}."
            )

    def _type_list_to_dict(self, types: Sequence) -> dict:
        names = self.spec.argument_names
        if len(types) > len(names):
            raise DataError(
                f"Type information given to {len(types)} argument{s(types)} "
                f"but keyword has only {len(names)} argument{s(names)}."
            )
        return {name: value for name, value in zip(names, types) if value}
