# 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_asset_description import AiContentAnalysisAssetDescription
from bitmovin_api_sdk.models.ai_content_analysis_automatic_ad_placement import AiContentAnalysisAutomaticAdPlacement
import pprint
import six
[docs]class AiContentAnalysisFeatures(object):
@poscheck_model
def __init__(self,
asset_description=None,
automatic_ad_placement=None):
# type: (AiContentAnalysisAssetDescription, AiContentAnalysisAutomaticAdPlacement) -> None
self._asset_description = None
self._automatic_ad_placement = None
self.discriminator = None
if asset_description is not None:
self.asset_description = asset_description
if automatic_ad_placement is not None:
self.automatic_ad_placement = automatic_ad_placement
@property
def openapi_types(self):
types = {
'asset_description': 'AiContentAnalysisAssetDescription',
'automatic_ad_placement': 'AiContentAnalysisAutomaticAdPlacement'
}
return types
@property
def attribute_map(self):
attributes = {
'asset_description': 'assetDescription',
'automatic_ad_placement': 'automaticAdPlacement'
}
return attributes
@property
def asset_description(self):
# type: () -> AiContentAnalysisAssetDescription
"""Gets the asset_description of this AiContentAnalysisFeatures.
AI content analysis will create an asset description file.
:return: The asset_description of this AiContentAnalysisFeatures.
:rtype: AiContentAnalysisAssetDescription
"""
return self._asset_description
@asset_description.setter
def asset_description(self, asset_description):
# type: (AiContentAnalysisAssetDescription) -> None
"""Sets the asset_description of this AiContentAnalysisFeatures.
AI content analysis will create an asset description file.
:param asset_description: The asset_description of this AiContentAnalysisFeatures.
:type: AiContentAnalysisAssetDescription
"""
if asset_description is not None:
if not isinstance(asset_description, AiContentAnalysisAssetDescription):
raise TypeError("Invalid type for `asset_description`, type has to be `AiContentAnalysisAssetDescription`")
self._asset_description = asset_description
@property
def automatic_ad_placement(self):
# type: () -> AiContentAnalysisAutomaticAdPlacement
"""Gets the automatic_ad_placement of this AiContentAnalysisFeatures.
Ad markers placed on detected scene changes and configured positions.
:return: The automatic_ad_placement of this AiContentAnalysisFeatures.
:rtype: AiContentAnalysisAutomaticAdPlacement
"""
return self._automatic_ad_placement
@automatic_ad_placement.setter
def automatic_ad_placement(self, automatic_ad_placement):
# type: (AiContentAnalysisAutomaticAdPlacement) -> None
"""Sets the automatic_ad_placement of this AiContentAnalysisFeatures.
Ad markers placed on detected scene changes and configured positions.
:param automatic_ad_placement: The automatic_ad_placement of this AiContentAnalysisFeatures.
:type: AiContentAnalysisAutomaticAdPlacement
"""
if automatic_ad_placement is not None:
if not isinstance(automatic_ad_placement, AiContentAnalysisAutomaticAdPlacement):
raise TypeError("Invalid type for `automatic_ad_placement`, type has to be `AiContentAnalysisAutomaticAdPlacement`")
self._automatic_ad_placement = automatic_ad_placement
[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, AiContentAnalysisFeatures):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other