Source code for bitmovin_api_sdk.models.analytics_output

# 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.bitmovin_resource import BitmovinResource
import pprint
import six


[docs]class AnalyticsOutput(BitmovinResource): @poscheck_model def __init__(self, id_=None, name=None, description=None, created_at=None, modified_at=None, custom_data=None, acl=None): # type: (string_types, string_types, string_types, datetime, datetime, dict, list[AclEntry]) -> None super(AnalyticsOutput, self).__init__(id_=id_, name=name, description=description, created_at=created_at, modified_at=modified_at, custom_data=custom_data) self._acl = list() self.discriminator = 'type' if acl is not None: self.acl = acl @property def openapi_types(self): types = {} if hasattr(super(AnalyticsOutput, self), 'openapi_types'): types = getattr(super(AnalyticsOutput, self), 'openapi_types') types.update({ 'acl': 'list[AclEntry]' }) return types @property def attribute_map(self): attributes = {} if hasattr(super(AnalyticsOutput, self), 'attribute_map'): attributes = getattr(super(AnalyticsOutput, self), 'attribute_map') attributes.update({ 'acl': 'acl' }) return attributes discriminator_value_class_map = { 'S3_ROLE_BASED': 'AnalyticsS3RoleBasedOutput', 'GCS_SERVICE_ACCOUNT': 'AnalyticsGcsServiceAccountOutput', 'AZURE': 'AnalyticsAzureOutput' } @property def acl(self): # type: () -> list[AclEntry] """Gets the acl of this AnalyticsOutput. :return: The acl of this AnalyticsOutput. :rtype: list[AclEntry] """ return self._acl @acl.setter def acl(self, acl): # type: (list) -> None """Sets the acl of this AnalyticsOutput. :param acl: The acl of this AnalyticsOutput. :type: list[AclEntry] """ if acl is not None: if not isinstance(acl, list): raise TypeError("Invalid type for `acl`, type has to be `list[AclEntry]`") self._acl = acl
[docs] def to_dict(self): """Returns the model properties as a dict""" result = {} if hasattr(super(AnalyticsOutput, self), "to_dict"): result = super(AnalyticsOutput, self).to_dict() for k, v in iteritems(self.discriminator_value_class_map): if v == type(self).__name__: result['type'] = k break 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, AnalyticsOutput): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other