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__init__.py
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# This file is part of CycloneDX Python Library
#
# 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.
#
# SPDX-License-Identifier: Apache-2.0
# Copyright (c) OWASP Foundation. All Rights Reserved.
from abc import ABC, abstractmethod
from collections.abc import Iterable
from typing import TYPE_CHECKING, Literal, Optional, Protocol, Union, overload
from ..schema import OutputFormat
if TYPE_CHECKING: # pragma: no cover
from ..schema import SchemaVersion
from .json import JsonValidator
from .xml import XmlValidator
class ValidationError:
"""Validation failed with this specific error. """
def __init__(self, message: str) -> None:
self._message = message
@property
def message(self) -> str:
return self._message
def __repr__(self) -> str:
return f'<{self.__class__.__qualname__} {self._message!r}>'
def __str__(self) -> str:
return self._message
class SchemabasedValidator(Protocol):
"""Schema-based Validator protocol"""
@overload
def validate_str(self, data: str, *, all_errors: Literal[False] = ...) -> Optional[ValidationError]:
"""Validate a string
:param data: the data string to validate
:param all_errors: whether to return all errors or only (any)one - if any
:return: validation error
:retval None: if ``data`` is valid
:retval ValidationError: if ``data`` is invalid
"""
... # pragma: no cover
@overload
def validate_str(self, data: str, *, all_errors: Literal[True]) -> Optional[Iterable[ValidationError]]:
"""Validate a string
:param data: the data string to validate
:param all_errors: whether to return all errors or only (any)one - if any
:return: validation error
:retval None: if ``data`` is valid
:retval Iterable[ValidationError]: if ``data`` is invalid
"""
... # pragma: no cover
def validate_str(
self, data: str, *,
all_errors: bool = False
) -> Union[None, ValidationError, Iterable[ValidationError]]:
"""Validate a string
:param data: the data string to validate
:param all_errors: whether to return all errors or only (any)one - if any
:return: validation error
:retval None: if ``data`` is valid
:retval ValidationError: if ``data`` is invalid and ``all_errors`` is ``False``
:retval Iterable[ValidationError]: if ``data`` is invalid and ``all_errors`` is ``True``
"""
... # pragma: no cover
class BaseSchemabasedValidator(ABC, SchemabasedValidator):
"""Base Schema-based Validator"""
def __init__(self, schema_version: 'SchemaVersion') -> None:
self.__schema_version = schema_version
if not self._schema_file:
raise ValueError(f'Unsupported schema_version: {schema_version!r}')
@property
def schema_version(self) -> 'SchemaVersion':
"""Get the schema version."""
return self.__schema_version
@property
@abstractmethod
def output_format(self) -> OutputFormat:
"""Get the format."""
... # pragma: no cover
@property
@abstractmethod
def _schema_file(self) -> Optional[str]:
"""Get the schema file according to schema version."""
... # pragma: no cover
@overload
def make_schemabased_validator(output_format: Literal[OutputFormat.JSON], schema_version: 'SchemaVersion'
) -> 'JsonValidator':
... # pragma: no cover
@overload
def make_schemabased_validator(output_format: Literal[OutputFormat.XML], schema_version: 'SchemaVersion'
) -> 'XmlValidator':
... # pragma: no cover
@overload
def make_schemabased_validator(output_format: OutputFormat, schema_version: 'SchemaVersion'
) -> Union['JsonValidator', 'XmlValidator']:
... # pragma: no cover
def make_schemabased_validator(output_format: OutputFormat, schema_version: 'SchemaVersion'
) -> 'BaseSchemabasedValidator':
"""Get the default Schema-based Validator for a certain :class:`OutputFormat`.
Raises error when no instance could be made.
"""
if TYPE_CHECKING: # pragma: no cover
Validator: type[BaseSchemabasedValidator] # noqa:N806
if OutputFormat.JSON is output_format:
from .json import JsonValidator as Validator
elif OutputFormat.XML is output_format:
from .xml import XmlValidator as Validator
else:
raise ValueError(f'Unexpected output_format: {output_format!r}')
return Validator(schema_version)