Hi Rob,
Thank you for providing these classes. I have downloaded these classes and tried to get to work for what I need. I basically would like to be able to load
multiple files (FASTq(s), bed(s)) files into new history and run a certain workflow (many steps). I could not get around the idea of how to associate the loaded files to the workflow steps knowing that I will have multiple bed(s) files and they will have
different names each time. So this lack of understanding in addition to unfamiliarity with python could be the issue here.
Here is the error I keep getting running your classes:
Traceback (most recent call last):
File "watch_multifiles.py", line 285, in <module>
main(api_key, api_url, in_folder, out_folder, data_library, workflow )
File "watch_multifiles.py", line 248, in main
galaxyHistory = gwf.execute_workflow(workflow_id, step_id_mapping,
history_name)
File "watch_multifiles.py", line 158, in execute_workflow
ds_map[step_id] = step_id_mapping[label]
KeyError: 'Input Dataset'
And here is what I did:
1.
I uncommented the main section as follow:
def main(api_key, api_url, in_folder, out_folder, library_name, workflow_id):
#
# EXAMPLE: api_key http://local:8080/api/ /tmp/API/ /tmp/API/done "API imports" wf_id
history_name = library_name + '-hist'
#
gl = GalaxyLibrary(api_key, api_url, library_name )
fileset = ['/tmp/API/temp.bed', '/tmp/API/seq.fasta']
gl.upload_files(fileset);
libset = gl.get_libset()
#
# #Map workflow input labels with input files
step_id_mapping = get_map(libset)
#Add Archived Datasets
#
gwf = GalaxyWorkflow(api_key, api_url, workflow_id)
print("Hi there ***************************",history_name, workflow_id)
galaxyHistory = gwf.execute_workflow(workflow_id, step_id_mapping, history_name)
#
#Map the output label with a filename to export the results once the run is completed
copyFileMap = {"output1":"output_file.txt"}
gh = GalaxyHistory(api_key, api_url, history_id)
gh.export_results("/tmp/API/", copyFileMap)
#
#
#
#Map a workflows input labels to the file ids of input files. Assumes you've labeled your workflow inputs accordingly.
def get_map(libset):
ds_map = {}
#Add dynamic data sets
for ds in libset:
if ds['name'].endswith("bed"):## changed from "vcf"
print("Got bed file:",ds)
ds_map['INPUT_LABEL_1'] = { 'src' : 'ld', 'id' : ds['id'] } #The first file you uploaded
if ds['name'].endswith("fasta"):##changed from "bed"
print("Got fasta file:",ds)
ds_map['INPUT_LABEL_2'] = { 'src' : 'ld', 'id' : ds['id'] } #The second file you uploaded
#Add Archived Datasets
ds_map['INPUT_LABEL_3'] = { 'src' : 'ldda', 'id' : '<id_to_an_input_file_already_stored_in_the_data_library>'}
return ds_map
#
#if __name__ == '__main__':
# main()
if __name__ == '__main__':
try:
api_key = sys.argv[1]
api_url = sys.argv[2]
in_folder = sys.argv[3]
out_folder = sys.argv[4]
data_library = sys.argv[5]
workflow = sys.argv[6]
except IndexError:
print 'usage: %s key url in_folder out_folder data_library workflow' % os.path.basename( sys.argv[0] )
sys.exit( 1 )
main(api_key, api_url, in_folder, out_folder, data_library, workflow )
2.
I created a simple workflow that takes two input files (bed and fasta). I changed the labels to what you suggested in your comment “INPUT_LABEL_1”
and “INPUT_LABEL_2”
3.
Then I ran it (similar way to the example_watch_folder.py)
The two files get loaded to the data library but then right away I get the above error.
I appreciate your feedback in regards to this.
Regards,
Hakeem
From: galaxy-dev-bounces@lists.bx.psu.edu [mailto:galaxy-dev-bounces@lists.bx.psu.edu]
On Behalf Of Rob Leclerc
Sent: Thursday, May 30, 2013 9:06 AM
To: <Neil.Burdett@csiro.au>
Cc: <galaxy-dev@lists.bx.psu.edu>
Subject: Re: [galaxy-dev] Creating multiple datasets in a libset
Hi Niel,
I've attached my wrapper classes I'm using for the Galaxy API which allows me to upload multiple files. This was based on the watch_folder example. There is also a mapping mechanisms to map input and output files to their workflow labels.
See the commented section below for some hints on how to use it
#################START##################
import config
import os
import shutil
import sys
import time
import logging
sys.path.insert( 0, os.path.dirname( __file__ ) )
from common import submit, display
logging.basicConfig(level=logging.INFO)
log = logging.getLogger('galaxy_api_utils')
class GalaxyLibrary:
"""
Encapsulates basic functionality for creating a library and uploading files to a library
"""
def __init__(self, api_key, api_url, libraryname):
self.api_key = api_key
self.api_url = api_url
self.libraryname = libraryname
self.jsonstring = None
self.libset = {}
def get_library(self):
"""
Get's the library created/accessed when this class was initialized
If the library does not exist then build it
Returns library_id and the library_folder_id
"""
if self.jsonstring != None:
return self.jsonstring
api_key = self.api_key
api_url = self.api_url
libraryname = self.libraryname
libs = display(api_key, api_url + 'libraries', return_formatted=False)
library_id = None
for library in libs:
if library['name'] == libraryname:
library_id = library['id']
if not library_id:
lib_create_data = {'name':libraryname}
library = submit(api_key, api_url + 'libraries', lib_create_data, return_formatted=False)
library_id = library['id']
folders = display(api_key, api_url + "libraries/%s/contents" % library_id, return_formatted = False)
for f in folders:
if f['name'] == "/":
library_folder_id = f['id']
if not library_id or not library_folder_id:
log.error("GalaxyLibrary:get_library Failure to configure library destination.")
raise Exception('Failed to configure library destination')
self.jsonstring = { 'library_id' : library_id, 'library_folder_id' : library_folder_id }
return self.jsonstring
def upload_files(self, fullpaths):
"""
Uploads files from a disk location to a Galaxy library
Accepts an array of full path filenames
Example: fullpaths = ['/home/username/file1.txt', '/home/username/files2.txt']
"""
if self.jsonstring == None:
self.get_library()
library_id = self.jsonstring['library_id']
library_folder_id = self.jsonstring['library_folder_id']
api_key = self.api_key
api_url = self.api_url
#Galaxy needs to read the pathnames as a new line delimited string
#so we do that transformation here
fullpaths_string = ""
for path in fullpaths:
fullpaths_string = fullpaths_string + path + "\n"
fullpaths_string = fullpaths_string[:-1]
data = {}
data['folder_id'] = library_folder_id
data['file_type'] = 'auto'
data['dbkey'] = ''
data['upload_option'] = 'upload_paths'
data['filesystem_paths'] = fullpaths_string
data['create_type'] = 'file'
#Start the upload. This will return right away, but it may take awhile
libset = submit(api_key, api_url + "libraries/%s/contents" % library_id, data, return_formatted = False)
#Iterate through each dataset we just uploaded and block until all files have been written to the Galaxy database
for ds in libset:
last_filesize = 0
while True:
#If file_size != 0 and the file_size is different after a second iteration, then we assume the disk write is finished
ds_id = ds['id']
uploaded_file = display(api_key, api_url + 'libraries/%s/contents/%s' %(library_id, ds_id), return_formatted=False)
print uploaded_file
if uploaded_file['file_size'] != 0 and uploaded_file['file_size'] == last_filesize:
break
else:
last_filesize = uploaded_file['file_size']
time.sleep(2)
self.libset = libset
return libset
def get_libset(self):
return self.libset
def get_file_id(self, filename):
"""
Gets the Galaxy file id for a file that we've uploaded with this object
"""
libset = self.get_libset()
for myfile in libset:
if myfile['name'] == filename:
return myfile['id']
return None
class GalaxyWorkflow:
"""
Encapsulates basic functionality to execute a workflow
"""
def __init__(self, api_key, api_url, workflow_id):
self.api_key = api_key
self.api_url = api_url
self.workflow_id = workflow_id
self.history_name = None
self.history_id = None
def execute_workflow(self, workflow_id, step_id_mapping, history_name):
"""
Variable: step_id_mapping
Example mapping:
step_id_mapping = { 'input_label_1' : { 'src' : 'ld', id: <file_id_from_uploaded_lib>' }}, { 'input_label_2' : { 'src' : 'ldda', id: <file_id_from_dataset>' }}
where input_label_1 is the name at inputs.<step_id>.label which you want to associate with a particular fileid
Files uplpaded should use src':'ld' while library datasets should be in 'src:ldda'
history_name: should be a unique name for this run.
"""
api_key = self.api_key
api_url = self.api_url
workflow = display(api_key, api_url + 'workflows/%s' % self.workflow_id, return_formatted = False)
wf_data = {}
wf_data['workflow_id'] = workflow['id']
self.history_name = "%s - %s" % (history_name, workflow['name'])
wf_data['history'] = self.history_name
ds_map = {}
#We need to map to the workflow's input label names to the step id since changes the galaxy database
#will change the workflow step_id numbers
for step_id, val in workflow['inputs'].iteritems():
label = val['label']
ds_map[step_id] = step_id_mapping[label]
wf_data['ds_map'] = ds_map
#Run the workflow. This will return immediately, but it will take awhile to run
res = submit( api_key, api_url + 'workflows', wf_data, return_formatted=False)
if res:
log.info('GalaxyWorkflow:execute_workflow workflow executed. Result:' + str(res))
self.history_id = res['history']
return GalaxyHistory(api_key, api_url, self.history_id)
return None
class GalaxyHistory:
"""
encapsulates basic functionality for exporting results from a history.
"""
def __init__(self, api_key, api_url, history_id):
self.api_key = api_key
self.api_url = api_url
self.history_id = history_id
# Export all designated 'output' files in the workflow to an export location outside of galaxy
# This just copies datasets located the $GALAXY_HOME/database/files/<a sub dir> to an output director
# dest_folder is in the format such as /Users/Robs/
# galaxyCopyFileMap
# We need to map the output filenames specified in the workflow to output filenames
# Example format:
# galaxyCopyFileMap = { 'galaxy_output_filename1' : 'myarchivename1.ext', ''galaxy_output_filename1' : 'myarchivename2.ext' }
def export_results(self, dest_folder, copyFileMap):
"""
Export all designated 'output' files in the workflow to an export location outside of galaxy
This just copies datasets located the $GALAXY_HOME/database/files/<a sub dir> to an output director
dest_folder is in the format such as /Users/Robs/
galaxyCopyFileMap
We need to map the output filenames specified in the workflow to output filenames
Example format:
galaxyCopyFileMap = { 'galaxy_output_filename1' : 'myarchivename1.ext', ''galaxy_output_filename1' : 'myarchivename2.ext' }
"""
api_key = self.api_key
api_url = self.api_url
history_id = self.history_id
if dest_folder.endswith('/') == False:
dest_folder = dest_folder + '/'
history_contents = display(api_key, api_url + 'histories/' + history_id + '/contents', return_formatted=False)
#Use the copyFileMap to copy the files designated with a specific output label to a filename for exporting out of galaxy
for internalfn, newfn in copyFileMap.iteritems():
for dsh in history_contents:
if 'name' in dsh:
if dsh['name'] == internalfn:
result_ds_url = api_url + 'histories/' + history_id + '/contents/' + dsh['id'];
#Block until all results have been written to disk
ds_file_size = 0
while True:
result_ds = display(api_key, result_ds_url, return_formatted=False)
print result_ds
if result_ds["file_size"] != 0 and result_ds["file_size"] == ds_file_size:
break
else:
ds_file_size = result_ds["file_size"]
time.sleep(2)
result_file_name = result_ds['file_name'];
fname = dest_folder + newfn
shutil.copy(result_file_name, fname)
# def main():
#
# EXAMPLE:
# workflow_id = "<your_workflow_id_here>"
# api_key = "<your_api_key_here>"
# api_url = "http://localhost:8080/api/"
# library_name = "<your_libraryname_here>"
# history_name = library_name + '-hist'
#
# gl = GalaxyLibrary(api_key, api_url, library_name )
# fileset = ['/Users/Rob/input1.vcf', '/Users/Rob/input1.bed']
# gl.upload_files(fileset);
# libset = gl.get_libset()
#
# #Map workflow input labels with input files
# step_id_mapping = get_map(libset)
# #Add Archived Datasets
#
# gwf = GalaxyWorkflow(api_key, api_url, workflow_id)
# galaxyHistory = gwf.execute_workflow(workflow_id, step_id_mapping, history_name)
#
# #Map the output label with a filename to export the results once the run is completed
# copyFileMap = {"output1":"output_file.txt"}
# gh = GalaxyHistory(api_key, api_url, history_id)
# gh.export_results("/Users/Rob", copyFileMap)
#
#
#
#Map a workflows input labels to the file ids of input files. Assumes you've labeled your workflow inputs accordingly.
#def get_map(libset):
# ds_map = {}
# #Add dynamic data sets
# for ds in libset:
# if ds['name'].endswith("vcf"):
# ds_map['INPUT_LABEL_1'] = { 'src' : 'ld', 'id' : ds['id'] } #The first file you uploaded
# if ds['name'].endswith("bed"):
# ds_map['INPUT_LABEL_2'] = { 'src' : 'ld', 'id' : ds['id'] } #The second file you uploaded
# #Add Archived Datasets
# ds_map['INPUT_LABEL_3'] = { 'src' : 'ldda', 'id' : '<id_to_an_input_file_already_stored_in_the_data_library>'}
# return ds_map
#
# if __name__ == '__main__':
# main()
Rob Leclerc, PhD
P: (US) +1-(917)-873-3037
P: (Shanghai) +86-1-(861)-612-5469
Personal Email: rob.leclerc@aya.yale.edu
On Thu, May 30, 2013 at 8:39 AM, Rob Leclerc <robert.leclerc@gmail.com> wrote:
Hi Neil,
Is fullpaths a *new line* delimited string?
Rob Leclerc, PhD
P: (US)
+1-(917)-873-3037
P: (Shanghai)
+86-1-(861)-612-5469
Personal Email: rob.leclerc@aya.yale.edu
On May 30, 2013, at 1:09 AM, <Neil.Burdett@csiro.au> wrote:
Hi Rob,
Thanks for the class I assume you created it in the “example_watch_folder.py” or whatever you may have renamed it too? Can you send me the full python script if possible ?
I modified example_watch_folder.py as followed (using your code):
if __name__ == '__main__':
try:
api_key = sys.argv[1]
api_url = sys.argv[2]
#in_folder = sys.argv[3]
#out_folder = sys.argv[4]
fullpaths = sys.argv[3]
data_library = sys.argv[4]
workflow = sys.argv[5]
except IndexError:
print 'usage: %s key url in_folder out_folder data_library workflow' % os.path.basename( sys.argv[0] )
sys.exit( 1 )
#main(api_key, api_url, in_folder, out_folder, data_library, workflow )
main(api_key, api_url, fullpaths, data_library, workflow )
#def main(api_key, api_url, in_folder, out_folder, data_library, workflow):
def main(api_key, api_url, fullpaths, data_library, workflow):
...
while 1:
#Galaxy needs to read the pathnames as a new line delimited string
#so we do that transformation here
print fullpaths
fullpaths_string = ""
for path in fullpaths:
fullpaths_string = fullpaths_string + path + "\n"
fullpaths_string = fullpaths_string[:-1]
data = {}
data['folder_id'] = library_folder_id
data['file_type'] = 'auto'
data['dbkey'] = ''
data['upload_option'] = 'upload_paths'
data['filesystem_paths'] = fullpaths_string
data['create_type'] = 'file'
print "before libset "
#Start the upload. This will return right away, but it may take awhile
libset = submit(api_key, api_url + "libraries/%s/contents" % library_id, data, return_formatted = False)
print "after libset "
#Iterate through each dataset we just uploaded and block until all files have been written to the Galaxy database
for ds in libset:
last_filesize = 0
while True:
#If file_size != 0 and the file_size is different after a second iteration, then we assume the disk write is finished
ds_id = ds['id']
uploaded_file = display(api_key, api_url + 'libraries/%s/contents/%s' %(library_id, ds_id), return_formatted=False)
print uploaded_file
if uploaded_file['file_size'] != 0 and uploaded_file['file_size'] == last_filesize:
break
else:
last_filesize = uploaded_file['file_size']
time.sleep(2)
However, when I run this I get the following output i.e. there is a new line after each character should you not use os.path.dirname:
./milxview_watch_folder.py de5f19fcf64a47ca9b61cfc3bf41490c http://barium-rbh/csiro/api/ "/home/galaxy/galaxy-drop/input/141_S_0851_MRI_T1_Screening.nii.gz,/home/galaxy/galaxy-drop/input/141_S_0851_MRI_T2_Screening.nii.gz" "This One" f2db41e1fa331b3e
/home/galaxy/galaxy-drop/input/141_S_0851_MRI_T1_Screening.nii.gz,/home/galaxy/galaxy-drop/input/141_S_0851_MRI_T2_Screening.nii.gz
/
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before libset
after libset
Traceback (most recent call last):
File "./milxview_watch_folder.py", line 127, in <module>
main(api_key, api_url, fullpaths, data_library, workflow )
File "./milxview_watch_folder.py", line 70, in main
ds_id = ds['id']
TypeError: string indices must be integers, not str
From: Rob Leclerc [mailto:robert.leclerc@gmail.com]
Sent: Wednesday, 29 May 2013 11:38 PM
To: Burdett, Neil (ICT Centre, Herston - RBWH)
Cc: galaxy-dev@lists.bx.psu.edu; Dannon Baker
Subject: Re: Creating multiple datasets in a libset
Hi Neil,
I've attached my class function for uploading multiple files.
def upload_files(self, fullpaths):
"""
Uploads files from a disk location to a Galaxy library
Accepts an array of full path filenames
Example: fullpaths = ['/home/username/file1.txt', '/home/username/files2.txt']
"""
if self.jsonstring == None:
self.get_library()
library_id = self.library_id
library_folder_id = self.library_folder_id
api_key = self.api_key
api_url = self.api_url
#Galaxy needs to read the pathnames as a new line delimited string
#so we do that transformation here
fullpaths_string = ""
for path in fullpaths:
fullpaths_string = fullpaths_string + path + "\n"
fullpaths_string = fullpaths_string[:-1]
data = {}
data['folder_id'] = library_folder_id
data['file_type'] = 'auto'
data['dbkey'] = ''
data['upload_option'] = 'upload_paths'
data['filesystem_paths'] = fullpaths_string
data['create_type'] = 'file'
#Start the upload. This will return right away, but it may take awhile
libset = submit(api_key, api_url + "libraries/%s/contents" % library_id, data, return_formatted = False)
#Iterate through each dataset we just uploaded and block until all files have been written to the Galaxy database
for ds in libset:
last_filesize = 0
while True:
#If file_size != 0 and the file_size is different after a second iteration, then we assume the disk write is finished
ds_id = ds['id']
uploaded_file = display(api_key, api_url + 'libraries/%s/contents/%s' %(library_id, ds_id), return_formatted=False)
print uploaded_file
if uploaded_file['file_size'] != 0 and uploaded_file['file_size'] == last_filesize:
break
else:
last_filesize = uploaded_file['file_size']
time.sleep(2)
self.libset = libset
return libset
Rob Leclerc, PhD
P: (US) +1-(917)-873-3037
P: (Shanghai) +86-1-(861)-612-5469
Personal Email: rob.leclerc@aya.yale.edu
On Wed, May 29, 2013 at 12:45 AM, <Neil.Burdett@csiro.au> wrote:
Hi Guys,
Did you manage to get multiple datasets working? I can't seem to upload multiple files. Only the last file appears in the history. I changed my code as mentioned in the thread below in "example_watch_folder.py" to add multiple files separated by a new line and increased the sleep time:
for fname in os.listdir(in_folder):
fullpath = os.path.join(in_folder, fname)
print ' fullpath is [%s] ' % fullpath
if os.path.isfile(fullpath):
data = {}
data['folder_id'] = library_folder_id
data['file_type'] = 'auto'
data['dbkey'] = ''
data['upload_option'] = 'upload_paths'
data['filesystem_paths'] = "/home/galaxy/galaxy-drop/input/141_S_0851_MRI_T1_Screening.nii.gz\n /home/galaxy/galaxy-drop/input/141_S_0851_MRI_T2_Screening.nii.gz"
print ' data is [%s] ' % str(data['filesystem_paths'])
data['create_type'] = 'file'
libset = submit(api_key, api_url + "libraries/%s/contents" % library_id, data, return_formatted = False)
#TODO Handle this better, but the datatype isn't always
# set for the followup workflow execution without this
# pause.
time.sleep(65)
However, I get the following crash:
./example_watch_folder.py 64f3209856a3cf4f2d034a1ad5bf851c http://barium-rbh/csiro/api/ /home/galaxy/galaxy-drop/input /home/galaxy/galaxy-drop/output "This One" f2db41e1fa331b3e
fullpath is [/home/galaxy/galaxy-drop/input/141_S_0851_MRI_T2_Screening.nii.gz]
data is [/home/galaxy/galaxy-drop/input/141_S_0851_MRI_T1_Screening.nii.gz
/home/galaxy/galaxy-drop/input/141_S_0851_MRI_T2_Screening.nii.gz]
url is : http://barium-rbh/csiro/api/libraries/33b43b4e7093c91f/contents?key=64f3209856a3cf4f2d034a1ad5bf851c
data is : {'file_type': 'auto', 'dbkey': '', 'create_type': 'file', 'folder_id': 'F33b43b4e7093c91f', 'upload_option': 'upload_paths', 'filesystem_paths': '/home/galaxy/galaxy-drop/input/141_S_0851_MRI_T1_Screening.nii.gz\n /home/galaxy/galaxy-drop/input/141_S_0851_MRI_T2_Screening.nii.gz'}
url is : http://barium-rbh/csiro/api/workflows?key=64f3209856a3cf4f2d034a1ad5bf851c
data is : {'workflow_id': 'f2db41e1fa331b3e', 'ds_map': {'14': {'src': 'ld', 'id': 'ff5476bcf6c921fa'}}, 'history': '141_S_0851_MRI_T2_Screening.nii.gz - apiFullCTE'}
{'outputs': ['daecbdd824e1c349', '358eb58cd5463e0d', 'c0279aab05812500'], 'history': '3cc0effd29705aa3'}
url is : http://barium-rbh/csiro/api/workflows?key=64f3209856a3cf4f2d034a1ad5bf851c
data is : {'workflow_id': 'f2db41e1fa331b3e', 'ds_map': {'14': {'src': 'ld', 'id': '79966582feb6c081'}}, 'history': '141_S_0851_MRI_T2_Screening.nii.gz - apiFullCTE'}
{'outputs': ['19c51286b777bc04', '0f71f1fc170d4ab9', '256444f6e7017e58'], 'history': 'b701da857886499b'}
Traceback (most recent call last):
File "./example_watch_folder.py", line 89, in <module>
main(api_key, api_url, in_folder, out_folder, data_library, workflow )
File "./example_watch_folder.py", line 75, in main
shutil.move(fullpath, os.path.join(out_folder, fname))
File "/usr/lib/python2.7/shutil.py", line 299, in move
copy2(src, real_dst)
File "/usr/lib/python2.7/shutil.py", line 128, in copy2
copyfile(src, dst)
File "/usr/lib/python2.7/shutil.py", line 82, in copyfile
with open(src, 'rb') as fsrc:
IOError: [Errno 2] No such file or directory: '/home/galaxy/galaxy-drop/input/141_S_0851_MRI_T2_Screening.nii.gz'
It says there is no such file, but this file has already been copied from the input to the output directory. Any help much appreciated
Neil
------------------------------
Message: 2
Date: Mon, 29 Apr 2013 16:11:39 -0400
From: Rob Leclerc <robert.leclerc@gmail.com>
To: Dannon Baker <dannon.baker@gmail.com>
Cc: "galaxy-dev@bx.psu.edu" <galaxy-dev@bx.psu.edu>
Subject: Re: [galaxy-dev] Creating multiple datasets in a libset
Message-ID:
<CAGkd85fHSgO2YC1T+Frctyso9G5rfQb=_mLyHGSdxPM+s3=8pg@mail.gmail.com>
Content-Type: text/plain; charset="iso-8859-1"
Hi Dannon,
I've written some code to (i) query a dataset to ensure that it's been
uploaded after a submit and (ii) to ensure a resulting dataset has been
written to the file.
*#Block until all datasets have been uploaded*
libset = submit(api_key, api_url + "libraries/%s/contents" % library_id,
data, return_formatted = False)
for ds in libset:
while True:
uploaded_file = display(api_key, api_url +
'libraries/%s/contents/%s' %(library_id, ds['id']), return_formatted=False)
if uploaded_file['misc_info'] == None:
time.sleep(1)
else:
break
*#Block until all result datasets have been saved to the filesystem*
result_ds_url = api_url + 'histories/' + history_id + '/contents/' +
dsh['id'];
while True:
result_ds = display(api_key, result_ds_url, return_formatted=False)
if result_ds["state"] == 'ok':
break
else:
time.sleep(1)
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 11:18 AM, Dannon Baker <dannon.baker@gmail.com>wrote:
> Yep, that example filesystem_paths you suggest should work fine. The
> sleep() bit was a complete hack from the start, for simplicity in
> demonstrating a very basic pipeline, but what you probably want to do for a
> real implementation is query the dataset in question via the API, verify
> that the datatype/etc have been set, and only after that execute the
> workflow; instead of relying on sleep.
>
>
> On Mon, Apr 29, 2013 at 9:24 AM, Rob Leclerc <robert.leclerc@gmail.com>wrote:
>
>> 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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>>>
>>>
>>
>
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