Upload local metadata to the cloud.

Upload local metadata files to the cloud location (repository, bucket, and prefix) you set in tar_option_set() in _targets.R.

tar_meta_upload(
  meta = TRUE,
  progress = TRUE,
  process = TRUE,
  crew = TRUE,
  verbose = TRUE,
  strict = FALSE,
  script = targets::tar_config_get("script"),
  store = targets::tar_config_get("store")
)

Arguments

meta

Logical of length 1, whether to process the main metadata file at _targets/meta/meta.

progress

Logical of length 1, whether to process the progress file at _targets/meta/progress.

process

Logical of length 1, whether to process the process file at _targets/meta/process.

crew

Logical of length 1, whether to process the crew file at _targets/meta/crew. Only exists if running targets with crew.

verbose

Logical of length 1, whether to print informative console messages.

strict

Logical of length 1. TRUE to error out if the file does not exist locally, FALSE to proceed without an error or warning. If strict is FALSE and verbose is TRUE, then an informative message will print to the R console.

script

Character of length 1, path to the target script file. Defaults to tar_config_get("script"), which in turn defaults to _targets.R. When you set this argument, the value of tar_config_get("script") is temporarily changed for the current function call. See tar_script(), tar_config_get(), and tar_config_set() for details about the target script file and how to set it persistently for a project.

store

Character of length 1, path to the targets data store. Defaults to tar_config_get("store"), which in turn defaults to _targets/. When you set this argument, the value of tar_config_get("store") is temporarily changed for the current function call. See tar_config_get() and tar_config_set() for details about how to set the data store path persistently for a project.

See also

Other metadata: tar_meta(), tar_meta_delete(), tar_meta_download(), tar_meta_sync()

Examples

if (identical(Sys.getenv("TAR_EXAMPLES"), "true")) { # for CRAN
tar_dir({ # tar_dir() runs code from a temp dir for CRAN.
tar_script({
  library(targets)
  library(tarchetypes)
  tar_option_set(
    resources = tar_resources(
      aws = tar_resources_aws(
        bucket = "YOUR_BUCKET_NAME",
        prefix = "YOUR_PROJECT_NAME"
      )
    ),
    repository = "aws"
  )
  list(
    tar_target(x, data.frame(x = seq_len(2), y = seq_len(2)))
  )
}, ask = FALSE)
tar_make()
tar_meta_upload()
})
}