The 'step' in question is the actual workflow step id, since ordering of steps
in a workflow is flexible and might be changed without realizing it by moving
steps around in the editor. The easiest way to retrieve this identifier is to
use the API and view the workflow in question.
Here's an example of that output, using scripts/api/display.py
$ python display.py <my_api_key>
http://localhost:8080/api/workflows/ebfb8f50c6abde6d
Member Information
------------------
url: /api/workflows/ebfb8f50c6abde6d
inputs: {'16': {'value': '', 'label': 'Input Dataset'}}
id: ebfb8f50c6abde6d
name: Foo User's Workflow
For inputs, you have a dictionary containing (in this case just one) the
workflow steps, their labels, etc. So, regarding the workflow_execute last
argument, it's the step id from above, and the source is 'ldda', 'ld', or
'hda', depending on what you're using as an input. For inputs you're pulling
out of a history, use 'hda'. The other options are for using datasets directly
from data libraries.
-Dannon
On Sep 6, 2011, at 1:24 PM, Roxanne Tapia wrote:
> I was trying to use the workflow_execute.py
>
> And I can't understand the last argument:
>
> usage: workflow_execute.py key url workflow_id history step=src=dataset_id
>
> So in step=src=dataset_id
> step: I think equals the next step #in the history?
> src: ???
> dataset_id: This has to be the dataset id from a data library which I can
> get by using display.py to query libraries & contents of libraries. Right?
>
> Can anyone explain this to me?
>
> Roxanne Tapia
> Software Developer 3
> B-6, Genome Science
> Bioscience Division
> r...@lanl.gov
> (505)665-0206
>
>
>
>
>
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