Summarize the progress of a run of the pipeline.
tar_progress_summary(
fields = c("skipped", "dispatched", "completed", "errored", "canceled", "since"),
store = targets::tar_config_get("store")
)Optional character vector of names of progress data
columns to read. Set to NULL to read all fields.
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.
A data frame with one row and the following
optional columns that can be selected with fields.
(time is omitted by default.)
dispatched: number of targets that were sent off to run and
did not (yet) finish. These targets may not actually be running,
depending on the status and workload of parallel workers.
completed: number of targets that completed without
error or cancellation.
errored: number of targets that threw an error.
canceled: number of canceled targets (see tar_cancel()).
since: how long ago progress last changed (Sys.time() - time).
time: the time when the progress last changed
(modification timestamp of the _targets/meta/progress file).
Other progress:
tar_canceled(),
tar_completed(),
tar_dispatched(),
tar_errored(),
tar_poll(),
tar_progress(),
tar_progress_branches(),
tar_skipped(),
tar_watch(),
tar_watch_server(),
tar_watch_ui()
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)
list(
tar_target(x, seq_len(2)),
tar_target(y, x, pattern = map(x)),
tar_target(z, stopifnot(y < 1.5), pattern = map(y), error = "continue")
)
}, ask = FALSE)
try(tar_make())
tar_progress_summary()
})
}