Source code for bitmovin_api_sdk.models.ai_content_analysis

# coding: utf-8

from enum import Enum
from six import string_types, iteritems
from bitmovin_api_sdk.common.poscheck import poscheck_model
from bitmovin_api_sdk.models.ai_content_analysis_features import AiContentAnalysisFeatures
from bitmovin_api_sdk.models.ai_service import AiService
import pprint
import six


[docs]class AiContentAnalysis(object): @poscheck_model def __init__(self, ai_service=None, features=None): # type: (AiService, AiContentAnalysisFeatures) -> None self._ai_service = None self._features = None self.discriminator = None if ai_service is not None: self.ai_service = ai_service if features is not None: self.features = features @property def openapi_types(self): types = { 'ai_service': 'AiService', 'features': 'AiContentAnalysisFeatures' } return types @property def attribute_map(self): attributes = { 'ai_service': 'aiService', 'features': 'features' } return attributes @property def ai_service(self): # type: () -> AiService """Gets the ai_service of this AiContentAnalysis. AI service settings :return: The ai_service of this AiContentAnalysis. :rtype: AiService """ return self._ai_service @ai_service.setter def ai_service(self, ai_service): # type: (AiService) -> None """Sets the ai_service of this AiContentAnalysis. AI service settings :param ai_service: The ai_service of this AiContentAnalysis. :type: AiService """ if ai_service is not None: if not isinstance(ai_service, AiService): raise TypeError("Invalid type for `ai_service`, type has to be `AiService`") self._ai_service = ai_service @property def features(self): # type: () -> AiContentAnalysisFeatures """Gets the features of this AiContentAnalysis. Features of the AI content analysis :return: The features of this AiContentAnalysis. :rtype: AiContentAnalysisFeatures """ return self._features @features.setter def features(self, features): # type: (AiContentAnalysisFeatures) -> None """Sets the features of this AiContentAnalysis. Features of the AI content analysis :param features: The features of this AiContentAnalysis. :type: AiContentAnalysisFeatures """ if features is not None: if not isinstance(features, AiContentAnalysisFeatures): raise TypeError("Invalid type for `features`, type has to be `AiContentAnalysisFeatures`") self._features = features
[docs] def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.openapi_types): value = getattr(self, attr) if value is None: continue if isinstance(value, list): if len(value) == 0: continue result[self.attribute_map.get(attr)] = [y.value if isinstance(y, Enum) else y for y in [x.to_dict() if hasattr(x, "to_dict") else x for x in value]] elif hasattr(value, "to_dict"): result[self.attribute_map.get(attr)] = value.to_dict() elif isinstance(value, Enum): result[self.attribute_map.get(attr)] = value.value elif isinstance(value, dict): result[self.attribute_map.get(attr)] = {k: (v.to_dict() if hasattr(v, "to_dict") else v) for (k, v) in value.items()} else: result[self.attribute_map.get(attr)] = value return result
[docs] def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict())
def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, AiContentAnalysis): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other