get_consumption.md
In octopusR: Interact with the 'Octopus Energy' API

Returned data is consistent

Code
  get_consumption(meter_type = "electricity", group_by = "week", period_from = "2022-01-01",
    period_to = "2022-01-31")
Output
  # A tibble: 6 x 3
    consumption interval_start       interval_end        
          <dbl> <chr>                <chr>               
  1       0.147 2022-01-31T00:00:00Z 2022-01-31T00:30:00Z
  2      91.2   2022-01-24T00:00:00Z 2022-01-31T00:00:00Z
  3     137.    2022-01-17T00:00:00Z 2022-01-24T00:00:00Z
  4      97.4   2022-01-10T00:00:00Z 2022-01-17T00:00:00Z
  5     125.    2022-01-03T00:00:00Z 2022-01-10T00:00:00Z
  6      41.8   2022-01-01T00:00:00Z 2022-01-03T00:00:00Z

Code
  get_consumption(meter_type = "electricity", group_by = "week", period_from = "2022-01-01",
    period_to = "2022-01-31", tz = "UTC")
Output
  # A tibble: 6 x 3
    consumption interval_start      interval_end       
          <dbl> <dttm>              <dttm>             
  1       0.147 2022-01-31 00:00:00 2022-01-31 00:30:00
  2      91.2   2022-01-24 00:00:00 2022-01-31 00:00:00
  3     137.    2022-01-17 00:00:00 2022-01-24 00:00:00
  4      97.4   2022-01-10 00:00:00 2022-01-17 00:00:00
  5     125.    2022-01-03 00:00:00 2022-01-10 00:00:00
  6      41.8   2022-01-01 00:00:00 2022-01-03 00:00:00

Code
  get_consumption(meter_type = "electricity", group_by = "week", period_from = "2022-01-01",
    period_to = "2022-01-31", tz = "UTC", order_by = "period")
Output
  # A tibble: 6 x 3
    consumption interval_start      interval_end       
          <dbl> <dttm>              <dttm>             
  1      41.8   2022-01-01 00:00:00 2022-01-03 00:00:00
  2     125.    2022-01-03 00:00:00 2022-01-10 00:00:00
  3      97.4   2022-01-10 00:00:00 2022-01-17 00:00:00
  4     137.    2022-01-17 00:00:00 2022-01-24 00:00:00
  5      91.2   2022-01-24 00:00:00 2022-01-31 00:00:00
  6       0.147 2022-01-31 00:00:00 2022-01-31 00:30:00