| status | R Documentation | 
Summarize status of a flow OR multiple flows OR a high-level summary of all flows in a folder.
status(
  x,
  use_cache = FALSE,
  verbose = opts_flow$get("verbose"),
  out_format = "markdown",
  ...
)
get_status(x, ...)
## S3 method for class 'flow'
get_status(x, verbose, use_cache, out_format, ...)
## S3 method for class 'character'
get_status(x, verbose, use_cache, out_format, ...)
## S3 method for class 'data.frame'
get_status(x, verbose, use_cache, progress = TRUE, ...)
| x | path to the flow root folder or a parent folder to summarize several flows. | 
| use_cache | This skips checking status of jobs which have already been completed a and assumes no new jobs were submitted in the flow(s) being monitored. [FALSE] | 
| verbose | A numeric value indicating the amount of messages to produce.
Values are integers varying from 0, 1, 2, 3, .... Please refer to the verbose page for more details.
 | 
| out_format | passed onto knitr:::kable. supports: markdown, rst, html... [markdown] | 
| ... | not used | 
| progress | Whether or not to show a progress bar, when fetching/reading files [TRUE] | 
basename(x) is used in a wild card search.
 Get status of all the flows: 
(all flows with 'sleep_pipe' in their name are checked and their status is shown)
<br>
flowr status x=~/flowr/runs/sleep_pipe*
 Provide a high level summary of ALL flows in a folder:
<br>
flowr status x=~/flowr/runs
Use use_cache=TRUE to speed up checking the status. This assumes that no new jobs have been submitted and skips (re-)checking status of completed jobs.
Once all the jobs have been submitted to the cluster you may always use use_cache=TRUE.
## Not run: 
status(x = "~/flowr/runs/sleep_pipe*")
## an example for running from terminal
flowr status x=path_to_flow_directory
## End(Not run)
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