# 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.analytics_output import AnalyticsOutput
import pprint
import six
[docs]class AnalyticsAzureOutput(AnalyticsOutput):
@poscheck_model
def __init__(self,
id_=None,
name=None,
description=None,
created_at=None,
modified_at=None,
custom_data=None,
acl=None,
account_name=None,
account_key=None,
container=None):
# type: (string_types, string_types, string_types, datetime, datetime, dict, list[AclEntry], string_types, string_types, string_types) -> None
super(AnalyticsAzureOutput, self).__init__(id_=id_, name=name, description=description, created_at=created_at, modified_at=modified_at, custom_data=custom_data, acl=acl)
self._account_name = None
self._account_key = None
self._container = None
self.discriminator = None
if account_name is not None:
self.account_name = account_name
if account_key is not None:
self.account_key = account_key
if container is not None:
self.container = container
@property
def openapi_types(self):
types = {}
if hasattr(super(AnalyticsAzureOutput, self), 'openapi_types'):
types = getattr(super(AnalyticsAzureOutput, self), 'openapi_types')
types.update({
'account_name': 'string_types',
'account_key': 'string_types',
'container': 'string_types'
})
return types
@property
def attribute_map(self):
attributes = {}
if hasattr(super(AnalyticsAzureOutput, self), 'attribute_map'):
attributes = getattr(super(AnalyticsAzureOutput, self), 'attribute_map')
attributes.update({
'account_name': 'accountName',
'account_key': 'accountKey',
'container': 'container'
})
return attributes
@property
def account_name(self):
# type: () -> string_types
"""Gets the account_name of this AnalyticsAzureOutput.
Azure Account Name (required)
:return: The account_name of this AnalyticsAzureOutput.
:rtype: string_types
"""
return self._account_name
@account_name.setter
def account_name(self, account_name):
# type: (string_types) -> None
"""Sets the account_name of this AnalyticsAzureOutput.
Azure Account Name (required)
:param account_name: The account_name of this AnalyticsAzureOutput.
:type: string_types
"""
if account_name is not None:
if not isinstance(account_name, string_types):
raise TypeError("Invalid type for `account_name`, type has to be `string_types`")
self._account_name = account_name
@property
def account_key(self):
# type: () -> string_types
"""Gets the account_key of this AnalyticsAzureOutput.
Microsoft Azure Account Access Key with the `Contributor Role` (required)
:return: The account_key of this AnalyticsAzureOutput.
:rtype: string_types
"""
return self._account_key
@account_key.setter
def account_key(self, account_key):
# type: (string_types) -> None
"""Sets the account_key of this AnalyticsAzureOutput.
Microsoft Azure Account Access Key with the `Contributor Role` (required)
:param account_key: The account_key of this AnalyticsAzureOutput.
:type: string_types
"""
if account_key is not None:
if not isinstance(account_key, string_types):
raise TypeError("Invalid type for `account_key`, type has to be `string_types`")
self._account_key = account_key
@property
def container(self):
# type: () -> string_types
"""Gets the container of this AnalyticsAzureOutput.
Microsoft Azure container name (required)
:return: The container of this AnalyticsAzureOutput.
:rtype: string_types
"""
return self._container
@container.setter
def container(self, container):
# type: (string_types) -> None
"""Sets the container of this AnalyticsAzureOutput.
Microsoft Azure container name (required)
:param container: The container of this AnalyticsAzureOutput.
:type: string_types
"""
if container is not None:
if not isinstance(container, string_types):
raise TypeError("Invalid type for `container`, type has to be `string_types`")
self._container = container
[docs] def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
if hasattr(super(AnalyticsAzureOutput, self), "to_dict"):
result = super(AnalyticsAzureOutput, self).to_dict()
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, AnalyticsAzureOutput):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other