mindspore-mindinsight/mindinsight/datavisual/common/validation.py

# Copyright 2019 Huawei Technologies Co., Ltd
#
# 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.
# ============================================================================
"""Define a validation class which contain all check methods of datavisual module."""
from numbers import Number
from mindinsight.utils.exceptions import ParamValueError
from mindinsight.utils.exceptions import ParamMissError
from mindinsight.datavisual.common.enums import PluginNameEnum
from mindinsight.datavisual.utils.tools import to_int


class Validation:
    """Validation class, define all check methods."""

    @classmethod
    def check_offset(cls, offset, default_value=0):
        """
        Check offset parameter, it must be greater or equal 0.

        Args:
            offset (Union[str, int]): Value can be string number or int.
            default_value (int): Default value for checked offset. Default: 0.

        Returns:
            int, offset.
        """

        if offset is None:
            return default_value
        offset = to_int(offset, 'offset')
        if offset < 0:
            raise ParamValueError("'offset' should be greater than or equal to 0.")
        return offset

    @classmethod
    def check_limit(cls, limit, min_value=1, max_value=1000, default_value=100):
        """
        Check limit parameter, it should between min_value and max_value.

        Args:
            limit (Union[str, int]): Value can be string number or int.
            min_value (int): Limit should greater or equal this value. Default: 1.
            max_value (int): Limit should less or equal this value. Default: 1000.
            default_value (int): Default value for limit. Default: 100.

        Returns:
            int, limit.
        """

        if limit is None:
            return default_value

        limit = to_int(limit, 'limit')
        if limit < min_value or limit > max_value:
            raise ParamValueError("'limit' should in [{}, {}].".format(min_value, max_value))
        return limit

    @classmethod
    def check_param_empty(cls, **kwargs):
        """
        Check param.

        Args:
            kwargs (Any): Check if arg is truthy.

        Raises:
            ParamMissError: When param missing.
        """
        for key, value in kwargs.items():
            # When value is 0, 0.0 or False, it is not empty.
            if isinstance(value, Number):
                continue

            if not value:
                raise ParamMissError(key)

    @classmethod
    def check_plugin_name(cls, plugin_name):
        """
        Check plugin name.

        Args:
            plugin_name (str): The plugin name.

        Raises:
            ParamValueError: When plugin name is not valid.
        """
        plugin_name_list = PluginNameEnum.list_members()
        if plugin_name not in plugin_name_list:
            raise ParamValueError("'plugin_name' only can be one of {}"
                                  "".format(plugin_name_list))