Create new or convert list to target_validations_collection S3 class object

A target_validations_collection is a container for target validation results from multiple validation subjects. It is a named list where each element is a target_validations object. Names are automatically extracted from the where attribute of each target_validations object. If multiple target_validations objects have the same where value, they are merged using combine(). Empty target_validations objects are ignored.

Usage

new_target_validations_collection(...)

as_target_validations_collection(x)

Arguments

...

target_validations objects to be included.

x

a list where each element is a target_validations object.

Value

an S3 object of class <target_validations_collection>. Elements are named by their where attribute (e.g., collection[["path/to/file.csv"]]).

Functions

• new_target_validations_collection(): Create new <target_validations_collection> S3 class object

• as_target_validations_collection(): Convert list to <target_validations_collection> S3 class object

Examples

new_target_validations_collection()
#> Empty <target_validations_collection>

# Create validations for two different files
file_path_1 <- "time-series.csv"
validations_1 <- new_target_validations(
  target_file_name = check_target_file_name(file_path_1),
  target_file_ext_valid = check_target_file_ext_valid(file_path_1)
)

file_path_2 <- "other-data.csv"
validations_2 <- new_target_validations(
  target_file_name = check_target_file_name(file_path_2),
  target_file_ext_valid = check_target_file_ext_valid(file_path_2)
)

# Combine into a collection
collection <- new_target_validations_collection(validations_1, validations_2)

# Print the collection
collection
#> 
#> ── time-series.csv ────
#> 
#> ℹ [target_file_name]: Target file path not hive-partitioned. Check skipped.
#> ✔ [target_file_ext_valid]: Target data file extension is valid.
#> 
#> ── other-data.csv ────
#> 
#> ℹ [target_file_name]: Target file path not hive-partitioned. Check skipped.
#> ✔ [target_file_ext_valid]: Target data file extension is valid.

# Get file paths (element names)
names(collection)
#> [1] "time-series.csv" "other-data.csv" 

# Access validations for a specific file
collection[[file_path_1]]
#> 
#> ── time-series.csv ────
#> 
#> ℹ [target_file_name]: Target file path not hive-partitioned. Check skipped.
#> ✔ [target_file_ext_valid]: Target data file extension is valid.

# Access a specific check within a file's validations
collection[["time-series.csv"]]$target_file_name
#> <message/check_info>
#> Message:
#> Target file path not hive-partitioned. Check skipped.