Source code for timeseries.models.timeseries

# coding: utf-8

"""
    IoT Time Series API

    Store and query time series data with a precision of 1 millisecond.  # noqa: E501
"""


import pprint
import re
import six
from mindsphere_core.exceptions import MindsphereClientError


[docs]class Timeseries(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 = { 'time': 'str', 'fields': 'dict(str, object)' } attribute_map = { 'time': '_time', 'fields': 'fields' } def __init__(self, time=None, fields=None): self._time = time self._fields = fields self.discriminator = None @property def time(self): """Gets the time of this Timeseries. :return: The time of this Timeseries. :rtype: str """ return self._time @time.setter def time(self, time): """Sets the time of this Timeseries. :param time: The time of this Timeseries. :type: str """ if time is None: raise MindsphereClientError("Invalid value for `time`, must not be `None`") self._time = time @property def fields(self): """Gets the fields of this Timeseries. :return: The fields of this Timeseries. :rtype: dict(str, object) """ return self._fields @fields.setter def fields(self, fields): """Sets the fields of this Timeseries. :param fields: The fields of this Timeseries. :type: dict(str, object) """ self._fields = fields
[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(Timeseries, 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, Timeseries): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other