Hi Dannon, Thanks for the response. Sorry to be pedantic, but just to make sure that I understand the interpretation of this field on the other side of the API, I would need to have something like the following: data['filesystem_paths'] = "/home/me/file1.vcf \n /home/me/file2.vcf /n /home/me/file3.vcf" I assume I should also increase the time.sleep() to reflect the uploading of extra files? Cheers, Rob Rob Leclerc, PhD <http://www.linkedin.com/in/robleclerc> <https://twitter.com/#!/robleclerc> P: (US) +1-(917)-873-3037 P: (Shanghai) +86-1-(861)-612-5469 Personal Email: rob.leclerc@aya.yale.edu On Mon, Apr 29, 2013 at 9:15 AM, Dannon Baker <dannon.baker@gmail.com>wrote:
Hey Rob,
That example_watch_folder.py does just submit exactly one at a time, executes the workflow, and then does the next all in separate transactions. If you wanted to upload multiple filepaths at once, you'd just append more to the ''filesystem_paths' field (newline separated paths).
-Dannon
On Fri, Apr 26, 2013 at 11:54 PM, Rob Leclerc <robert.leclerc@gmail.com>wrote:
I'm looking at example_watch_folder.py and it's not clear from the example how you submit multiple datasets to a library. In the example, the first submit returns a libset [] with only a single entry and then proceeds to iterate through each dataset in the libset in the following section:
data = {}
data['folder_id'] = library_folder_id
data['file_type'] = 'auto'
data['dbkey'] = ''
data['upload_option'] = 'upload_paths'
*data['filesystem_paths'] = fullpath*
data['create_type'] = 'file'
libset = submit(api_key, api_url + "libraries/%s/contents" % library_id, data, return_formatted = False)
time.sleep(5)
for ds in libset:
if 'id' in ds:
wf_data = {}
wf_data['workflow_id'] = workflow['id']
wf_data['history'] = "%s - %s" % (fname, workflow['name'])
wf_data['ds_map'] = {}
for step_id, ds_in in workflow['inputs' ].iteritems():
wf_data['ds_map'][step_id] = {'src':'ld', 'id':ds['id']}
res = submit( api_key, api_url + 'workflows', wf_data, return_formatted=False)
Rob Leclerc, PhD <http://www.linkedin.com/in/robleclerc><https://twitter.com/#!/robleclerc> P: (US) +1-(917)-873-3037 P: (Shanghai) +86-1-(861)-612-5469 Personal Email: rob.leclerc@aya.yale.edu
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