Source code for bitmovin_api_sdk.models.ad_opportunity

# coding: utf-8

from enum import Enum
from six import string_types, iteritems
from bitmovin_api_sdk.common.poscheck import poscheck_model
import pprint
import six


[docs]class AdOpportunity(object): @poscheck_model def __init__(self, reason=None, score=None): # type: (string_types, float) -> None self._reason = None self._score = None self.discriminator = None if reason is not None: self.reason = reason if score is not None: self.score = score @property def openapi_types(self): types = { 'reason': 'string_types', 'score': 'float' } return types @property def attribute_map(self): attributes = { 'reason': 'reason', 'score': 'score' } return attributes @property def reason(self): # type: () -> string_types """Gets the reason of this AdOpportunity. The reason why the scene was rated with a certain score :return: The reason of this AdOpportunity. :rtype: string_types """ return self._reason @reason.setter def reason(self, reason): # type: (string_types) -> None """Sets the reason of this AdOpportunity. The reason why the scene was rated with a certain score :param reason: The reason of this AdOpportunity. :type: string_types """ if reason is not None: if not isinstance(reason, string_types): raise TypeError("Invalid type for `reason`, type has to be `string_types`") self._reason = reason @property def score(self): # type: () -> float """Gets the score of this AdOpportunity. Score from 0.0 to 1.0 rating the ad placement suitability at the end of a scene based on content analysis :return: The score of this AdOpportunity. :rtype: float """ return self._score @score.setter def score(self, score): # type: (float) -> None """Sets the score of this AdOpportunity. Score from 0.0 to 1.0 rating the ad placement suitability at the end of a scene based on content analysis :param score: The score of this AdOpportunity. :type: float """ if score is not None: if score is not None and score > 1: raise ValueError("Invalid value for `score`, must be a value less than or equal to `1`") if score is not None and score < 0: raise ValueError("Invalid value for `score`, must be a value greater than or equal to `0`") if not isinstance(score, (float, int)): raise TypeError("Invalid type for `score`, type has to be `float`") self._score = score
[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, AdOpportunity): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other