Source code for robot.running.arguments.typevalidator

#  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


[docs] class TypeValidator: def __init__(self, spec: "ArgumentSpec"): self.spec = spec
[docs] 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}