Save datasets in a yaml file

write(x, ...)

# S3 method for class 'IssuesTB'
write(
  x,
  dataset_dir = getOption("IssueTrackeR.dataset.dir"),
  dataset_name = getOption("IssueTrackeR.dataset.name"),
  overwrite = TRUE,
  verbose = TRUE,
  ...
)

# S3 method for class 'LabelsTB'
write(
  x,
  dataset_dir = getOption("IssueTrackeR.dataset.dir"),
  dataset_name = getOption("IssueTrackeR.dataset.name"),
  overwrite = TRUE,
  verbose = TRUE,
  ...
)

# S3 method for class 'MilestonesTB'
write(
  x,
  dataset_dir = getOption("IssueTrackeR.dataset.dir"),
  dataset_name = getOption("IssueTrackeR.dataset.name"),
  overwrite = TRUE,
  verbose = TRUE,
  ...
)

# Default S3 method
write(...)

Arguments

x: an object of class IssuesTB, LabelsTB or MilestonesTB.
...: Currently not used.
dataset_dir: Character. Path to the directory containing the YAML file. Default: value of option IssueTrackeR.dataset.dir.
dataset_name: Character. Name of the dataset. Default: value of option IssueTrackeR.dataset.name.
overwrite: Boolean indicating whether to overwrite the file if it already exists. Defaults to TRUE.
verbose: Boolean indicating whether to print additional information.

Value

invisibly (with invisible()) TRUE if the export was successful and an error otherwise.

Details

Depending on the object, dataset_name = NULL or dataset_name = "", the defaults value of the file name:

"list_issues.yaml" for issues;
"list_labels.yaml" for labels;
"list_milestones.yaml" for milestones.

The objects will be written in the dataset_dir.

Examples

local_selector <- init_selector(
    source = "Local",
    dataset_dir = system.file("data_issues", package = "IssueTrackeR"),
    dataset_name = NULL
)

issues <- get_issues(selector = local_selector)
#> The issues will be read from /home/runner/work/_temp/Library/IssueTrackeR/data_issues/list_issues.yaml.
labels <- get_labels(selector = local_selector)
#> The labels will be read from /home/runner/work/_temp/Library/IssueTrackeR/data_issues/list_labels.yaml.
milestones <- get_milestones(selector = local_selector)
#> The milestones will be read from /home/runner/work/_temp/Library/IssueTrackeR/data_issues/list_milestones.yaml.

write(x = issues, dataset_dir = tempdir())
#> The file already exists and will be overwritten.
#> The datasets will be exported to /tmp/RtmpSJddLH/list_issues_my_dataset.yaml.
write(x = labels, dataset_dir = tempdir())
#> The file already exists and will be overwritten.
#> The datasets will be exported to /tmp/RtmpSJddLH/list_labels_my_dataset.yaml.
write(x = milestones, dataset_dir = tempdir())
#> The file already exists and will be overwritten.
#> The datasets will be exported to /tmp/RtmpSJddLH/list_milestones_my_dataset.yaml.

write(x = issues, dataset_dir = tempdir(),
                 dataset_name = "my_issues")
#> The datasets will be exported to /tmp/RtmpSJddLH/list_issues_my_issues.yaml.
write(x = labels, dataset_dir = tempdir(),
                 dataset_name = "my_labels")
#> The datasets will be exported to /tmp/RtmpSJddLH/list_labels_my_labels.yaml.
write(x = milestones, dataset_dir = tempdir(),
                 dataset_name = "my_milestones")
#> The datasets will be exported to /tmp/RtmpSJddLH/list_milestones_my_milestones.yaml.