Source code for azure.mgmt.consumption.models.forecast_py3

# coding=utf-8
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from .resource_py3 import Resource


[docs]class Forecast(Resource): """A forecast resource. Variables are only populated by the server, and will be ignored when sending a request. :ivar id: Resource Id. :vartype id: str :ivar name: Resource name. :vartype name: str :ivar type: Resource type. :vartype type: str :ivar tags: Resource tags. :vartype tags: dict[str, str] :ivar usage_date: The usage date of the forecast. :vartype usage_date: str :param grain: The granularity of forecast. Possible values include: 'Daily', 'Monthly', 'Yearly' :type grain: str or ~azure.mgmt.consumption.models.Grain :ivar charge: The amount of charge :vartype charge: decimal.Decimal :ivar currency: The ISO currency in which the meter is charged, for example, USD. :vartype currency: str :param charge_type: The type of the charge. Could be actual or forecast. Possible values include: 'Actual', 'Forecast' :type charge_type: str or ~azure.mgmt.consumption.models.ChargeType :ivar confidence_levels: The details about the forecast confidence levels. This is populated only when chargeType is Forecast. :vartype confidence_levels: list[~azure.mgmt.consumption.models.ForecastPropertiesConfidenceLevelsItem] """ _validation = { 'id': {'readonly': True}, 'name': {'readonly': True}, 'type': {'readonly': True}, 'tags': {'readonly': True}, 'usage_date': {'readonly': True}, 'charge': {'readonly': True}, 'currency': {'readonly': True}, 'confidence_levels': {'readonly': True}, } _attribute_map = { 'id': {'key': 'id', 'type': 'str'}, 'name': {'key': 'name', 'type': 'str'}, 'type': {'key': 'type', 'type': 'str'}, 'tags': {'key': 'tags', 'type': '{str}'}, 'usage_date': {'key': 'properties.usageDate', 'type': 'str'}, 'grain': {'key': 'properties.grain', 'type': 'str'}, 'charge': {'key': 'properties.charge', 'type': 'decimal'}, 'currency': {'key': 'properties.currency', 'type': 'str'}, 'charge_type': {'key': 'properties.chargeType', 'type': 'str'}, 'confidence_levels': {'key': 'properties.confidenceLevels', 'type': '[ForecastPropertiesConfidenceLevelsItem]'}, } def __init__(self, *, grain=None, charge_type=None, **kwargs) -> None: super(Forecast, self).__init__(**kwargs) self.usage_date = None self.grain = grain self.charge = None self.currency = None self.charge_type = charge_type self.confidence_levels = None