Data Gap Filler Input

Input representation of the request to get missing energy consumption records.

JSON Example

1{
2   "recordId":"0pfRM0000004HZtYAM",
3   "filters":[
4      {
5         "item":"FuelType",
6         "value":"Diesel"
7      }
8   ],
9   "methods":[
10      "REGIONAL_BENCHMARK",
11      "BUILDING_BENCHMARK",
12      "MANUAL"
13   ]
14}

Properties

Name	Type	Description	Required or Optional	Available Version
`filters`	Filter Input[]	List of filters to filter the output records. Each filter item is a key-value pair that contains the name and its value. Possible name is: `FuelType`	Optional	55.0
`methods`	String[]	List of the names of different methods to retrieve data gaps. Possible values are: `BUILDING_BENCHMARK` `DAILY_AVERAGE_CURRENT_YEAR` `DAILY_AVERAGE_LAST_YEAR` `MANUAL` `REGIONAL_BENCHMARK`	Required	55.0
`recordId`	String	ID of the Stationary Asset Carbon Footprint object for which the associated energy consumption records with data gaps must be retrieved. Ensure that the Stationary Asset Carbon Footprint object has a valid start date and end date.	Required	55.0