Validate data and metadata for a given model/folder

validate_model(
  model_name,
  data_folder = "data-processed",
  metadata_folder = "model-metadata",
  data_schema = "schema-data.yml",
  metadata_schema = "schema-metadata.yml"
)

Arguments

model_name: Path to the folder containing the model data
data_folder: The path to the folder containing forecasts
metadata_folder: The path to the folder containing metadata
data_schema: Path to the .yml schema file
metadata_schema: Path to the .yml schema file

Examples

validate_model(
  "example-model",
  system.file("testdata", "data-processed",
              package = "HubValidations"),
  system.file("testdata", "model-metadata",
              package = "HubValidations"),
  system.file("testdata", "schema-data.yml",
              package = "HubValidations"),
  system.file("testdata", "schema-metadata.yml",
              package = "HubValidations")
)
#> ✔ example-model: There is exactly one metadata file 
#> 
#> ✔ 2021-07-19-example-model.csv: Folder name is identical to model name in data file 
#> 
#> ✔ 2021-07-26-example-model.csv: Folder name is identical to model name in data file 
#> 
#> ✔ example-model.yml: Metadata file is using the `.yml` extension 
#> 
#> ✔ example-model.yml: Metadata filename is the same as `model_abbr` 
#> 
#> ✔ example-model.yml: Metadata file is consistent with schema specifications 
#>  
#> ✔ 2021-07-19-example-model.csv: Filename is formed of a date and a model name, separated by an hyphen 
#> 
#> ✔ 2021-07-19-example-model.csv: `forecast_date` column is identical to the date in filename 
#> 
#> ✔ 2021-07-19-example-model.csv: Data is formed of the expected columns with correct type 
#>  
#> ✔ 2021-07-26-example-model.csv: Filename is formed of a date and a model name, separated by an hyphen 
#> 
#> ✔ 2021-07-26-example-model.csv: `forecast_date` column is identical to the date in filename 
#> 
#> ✔ 2021-07-26-example-model.csv: Data is formed of the expected columns with correct type 
#>