# coding: utf-8
"""
IoT TS Aggregates API
The aggregate service enables querying aggregated time series data for performance assets based on pre-calculated aggregate values. Precalculated aggregates are available in the following aggregate intervals * 2 minute * 1 hour * 1 day ## Generic Errors The following generic error codes (with status codes) can occur at the operations of this API. Generic error codes are prefixed with 'mdsp.core.generic.'. - unauthorized (401) - forbidden (403) - tooManyRequests (429) - internalServerError (500) # noqa: E501
"""
import pprint
import re
import six
from iottsaggregates.models.errors_errors import ErrorsErrors
from mindsphere_core.exceptions import MindsphereClientError
[docs]class Errors(object):
"""
Attributes:
attribute_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
attribute_types = {"errors": "list[ErrorsErrors]"}
attribute_map = {"errors": "errors"}
def __init__(self, errors=None):
self._errors = errors
self.discriminator = None
@property
def errors(self):
"""Gets the errors of this Errors.
:return: The errors of this Errors.
:rtype: list[ErrorsErrors]
"""
return self._errors
@errors.setter
def errors(self, errors):
"""Sets the errors of this Errors.
:param errors: The errors of this Errors.
:type: list[ErrorsErrors]
"""
self._errors = errors
[docs] def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.attribute_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(
map(lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value)
)
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(
map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict")
else item,
value.items(),
)
)
else:
result[attr] = value
if issubclass(Errors, dict):
for key, value in self.items():
result[key] = 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, Errors):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other