def create_workflows(projid,token):
workflows = os.listdir(workflow_dir)
# load in each workflow
for wf in workflows:
wf_path = workflow_dir + wf
with open(wf_path,'r') as wffile:
workflow = wffile.read().replace('\n', '')
wfname = wf.split('.')[0]
# and build it
print "Building workflow: " + wfname
panoptesPythonAPI.create_workflow(projid,wfname,workflow,token)
return
def create_workflows(projid, token):
workflows = os.listdir(workflow_dir)
# load in each workflow
for wf in workflows:
wf_path = workflow_dir + wf
with open(wf_path, 'r') as wffile:
workflow = wffile.read().replace('\n', '')
wfname = wf.split('.')[0]
# and build it
print "Building workflow: " + wfname
wfid = panoptesPythonAPI.create_workflow(projid, wfname, workflow,
token)
print " ID: " + wfid
return
def create_workflows(projids, token):
#workflows = os.listdir(workflow_dir)
with open(linkfile, 'r') as lfile:
# discard header
lfile.readline()
# keep track of workflows already done
donewf = []
# go through each line
lreader = csv.reader(lfile, delimiter=',', quotechar='\"')
for row in lreader:
wfname = row[0]
wfset = row[2]
# do new workflows
if wfname not in donewf:
wf_path = workflow_dir + wfname + ".txt"
with open(wf_path, 'r') as wffile:
workflow = wffile.read().replace('\n', '')
# add this workflow to the correct project
wfproj = projids[0]
if wfset == "complex":
wfproj = projids[1]
# and build it
print "Building workflow " + wfname + " in project " + wfproj
wfid = panoptesPythonAPI.create_workflow(
wfproj, wfname, workflow, token)
print " ID: " + wfid
# record that we've done this workflow
donewf.append(wfname)
return
def create_workflows(projids,token):
#workflows = os.listdir(workflow_dir)
with open(linkfile,'r') as lfile:
# discard header
lfile.readline()
# keep track of workflows already done
donewf = []
# go through each line
lreader = csv.reader(lfile,delimiter=',',quotechar='\"')
for row in lreader:
wfname = row[0]
wfset = row[2]
# do new workflows
if wfname not in donewf:
wf_path = workflow_dir + wfname + ".txt"
with open(wf_path,'r') as wffile:
workflow = wffile.read().replace('\n', '')
# add this workflow to the correct project
wfproj = projids[0]
if wfset == "complex":
wfproj = projids[1]
# and build it
print "Building workflow " + wfname + " in project " + wfproj
wfid = panoptesPythonAPI.create_workflow(wfproj,wfname,workflow,token)
print " ID: " + wfid
# record that we've done this workflow
donewf.append(wfname)
return
"required": "1"
},
"flowers": {
"type": "single",
"question": "Are there flowers visible?",
"answers": [
{"value": "yes", "label": "Yes"},
{"value": "no", "label": "No"}
],
"required": "1"
}
},
"first_task": "valid_image",
"primary_language": "en-us",
"links": {
"project": \"""" + str(projid) + """\",
"subject_sets": [\"""" + str(subj_set_id) + """\"]
}
}
}"""
workflow_id = panoptesPythonAPI.create_workflow(workflow,token)
print workflow_id
#57
"answers": [
{"value": "yes", "label": "Yes", "next": "flowers"},
{"value": "no", "label": "No", "next": null}
],
"required": "1"
},
"flowers": {
"type": "single",
"question": "Are there flowers visible?",
"answers": [
{"value": "yes", "label": "Yes"},
{"value": "no", "label": "No"}
],
"required": "1"
}
},
"first_task": "valid_image",
"primary_language": "en-us",
"links": {
"project": \"""" + str(projid) + """\",
"subject_sets": [\"""" + str(subj_set_id) + """\"]
}
}
}"""
workflow_id = panoptesPythonAPI.create_workflow(workflow, token)
print workflow_id
#57
