# 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 AiContentAnalysisAssetDescription(object):
@poscheck_model
def __init__(self,
filename=None,
outputs=None):
# type: (string_types, list[EncodingOutput]) -> None
self._filename = None
self._outputs = list()
self.discriminator = None
if filename is not None:
self.filename = filename
if outputs is not None:
self.outputs = outputs
@property
def openapi_types(self):
types = {
'filename': 'string_types',
'outputs': 'list[EncodingOutput]'
}
return types
@property
def attribute_map(self):
attributes = {
'filename': 'filename',
'outputs': 'outputs'
}
return attributes
@property
def filename(self):
# type: () -> string_types
"""Gets the filename of this AiContentAnalysisAssetDescription.
Name of the output json file
:return: The filename of this AiContentAnalysisAssetDescription.
:rtype: string_types
"""
return self._filename
@filename.setter
def filename(self, filename):
# type: (string_types) -> None
"""Sets the filename of this AiContentAnalysisAssetDescription.
Name of the output json file
:param filename: The filename of this AiContentAnalysisAssetDescription.
:type: string_types
"""
if filename is not None:
if not isinstance(filename, string_types):
raise TypeError("Invalid type for `filename`, type has to be `string_types`")
self._filename = filename
@property
def outputs(self):
# type: () -> list[EncodingOutput]
"""Gets the outputs of this AiContentAnalysisAssetDescription.
:return: The outputs of this AiContentAnalysisAssetDescription.
:rtype: list[EncodingOutput]
"""
return self._outputs
@outputs.setter
def outputs(self, outputs):
# type: (list) -> None
"""Sets the outputs of this AiContentAnalysisAssetDescription.
:param outputs: The outputs of this AiContentAnalysisAssetDescription.
:type: list[EncodingOutput]
"""
if outputs is not None:
if not isinstance(outputs, list):
raise TypeError("Invalid type for `outputs`, type has to be `list[EncodingOutput]`")
self._outputs = outputs
[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, AiContentAnalysisAssetDescription):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other