def run(request):
"""Run analysis, return URL of the analysis status page
Needs re-factoring
"""
logger.debug("analysis_manager.views.run called")
if not request.is_ajax():
return HttpResponseBadRequest() # 400
allowed_methods = ['POST']
if request.method not in allowed_methods:
return HttpResponseNotAllowed(allowed_methods) # 405
analysis_config = simplejson.loads(request.body)
try:
workflow_uuid = analysis_config['workflowUuid']
study_uuid = analysis_config['studyUuid']
node_set_uuid = analysis_config['nodeSetUuid']
node_relationship_uuid = analysis_config['nodeRelationshipUuid']
except KeyError:
return HttpResponseBadRequest() # 400
# must provide workflow and study UUIDs,
# and either node set UUID or node relationship UUID
if not (workflow_uuid and study_uuid and
(node_set_uuid or node_relationship_uuid)):
return HttpResponseBadRequest() # 400
# single-input workflow
if node_set_uuid:
#TODO: handle DoesNotExist exception
curr_node_set = NodeSet.objects.get(uuid=node_set_uuid)
curr_node_dict = curr_node_set.solr_query_components
curr_node_dict = simplejson.loads(curr_node_dict)
# solr results
solr_uuids = get_solr_results(
curr_node_set.solr_query,
only_uuids=True,
selected_mode=curr_node_dict['documentSelectionBlacklistMode'],
selected_nodes=curr_node_dict['documentSelection'])
# retrieving workflow based on input workflow_uuid
#TODO: handle DoesNotExist exception
curr_workflow = Workflow.objects.filter(uuid=workflow_uuid)[0]
# TODO: catch if study or data set don't exist
study = Study.objects.get(uuid=study_uuid)
data_set = InvestigationLink.objects.filter(
investigation__uuid=study.investigation.uuid).order_by(
"version").reverse()[0].data_set
logger.info("Associating analysis with data set %s (%s)" %
(data_set, data_set.uuid))
######### ANALYSIS MODEL ########
# How to create a simple analysis object
temp_name = curr_workflow.name + " " + datetime.now().strftime(
"%Y-%m-%d @ %H:%M:%S")
summary_name = "None provided."
analysis = Analysis(
summary=summary_name,
name=temp_name,
project=request.user.get_profile().catch_all_project,
data_set=data_set,
workflow=curr_workflow,
time_start=datetime.now())
analysis.save()
analysis.set_owner(request.user)
# gets galaxy internal id for specified workflow
workflow_galaxy_id = curr_workflow.internal_id
# getting distinct workflow inputs
workflow_data_inputs = curr_workflow.data_inputs.all()[0]
# NEED TO GET LIST OF FILE_UUIDS from solr query
count = 0
for file_uuid in solr_uuids:
count += 1
temp_input = WorkflowDataInputMap(
workflow_data_input_name=workflow_data_inputs.name,
data_uuid=file_uuid,
pair_id=count)
temp_input.save()
analysis.workflow_data_input_maps.add(temp_input)
analysis.save()
# dual-input workflow
if node_relationship_uuid:
# Input list for running analysis
ret_list = []
# retrieving workflow based on input workflow_uuid
curr_workflow = Workflow.objects.get(uuid=workflow_uuid)
# TODO: catch if study or data set don't exist
study = Study.objects.get(uuid=study_uuid)
data_set = InvestigationLink.objects.filter(
investigation__uuid=study.investigation.uuid).order_by(
"version").reverse()[0].data_set
# Get node relationship model
curr_relationship = NodeRelationship.objects.get(
uuid=node_relationship_uuid)
# Iterating over node pairs
input_keys = []
base_input = {}
# defining inputs used for analysis
for workflow_inputs in curr_workflow.input_relationships.all():
base_input[workflow_inputs.set1] = {}
base_input[workflow_inputs.set2] = {}
input_keys.append(workflow_inputs.set1)
input_keys.append(workflow_inputs.set2)
# creating instance of instance of input data pairing for analysis,
# i.e. [{u'exp_file': {'node_uuid': u'3d061699-6bc8-11e2-9b55-406c8f1d5108', 'pair_id': 1}, u'input_file': {'node_uuid': u'3d180d11-6bc8-11e2-9bc7-406c8f1d5108', 'pair_id': 1}}]
count = 1
for curr_pair in curr_relationship.node_pairs.all():
temp_pair = copy.deepcopy(base_input)
print "curr_pair"
print temp_pair
print curr_pair
#temp_pair = {}
if curr_pair.node2:
#print curr_pair.node2.uuid
temp_pair[input_keys[0]]['node_uuid'] = curr_pair.node1.uuid
temp_pair[input_keys[0]]['pair_id'] = count
temp_pair[input_keys[1]]['node_uuid'] = curr_pair.node2.uuid
temp_pair[input_keys[1]]['pair_id'] = count
ret_list.append(temp_pair)
print temp_pair
count += 1
logger.info("Associating analysis with data set %s (%s)" %
(data_set, data_set.uuid))
######### ANALYSIS MODEL ########
# How to create a simple analysis object
temp_name = curr_workflow.name + " " + str(datetime.now())
summary_name = "None provided."
analysis = Analysis(
summary=summary_name,
name=temp_name,
project=request.user.get_profile().catch_all_project,
data_set=data_set,
workflow=curr_workflow,
time_start=datetime.now())
analysis.save()
analysis.set_owner(request.user)
# gets galaxy internal id for specified workflow
workflow_galaxy_id = curr_workflow.internal_id
# getting distinct workflow inputs
workflow_data_inputs = curr_workflow.data_inputs.all()
logger.debug("ret_list")
logger.debug(simplejson.dumps(ret_list, indent=4))
######### ANALYSIS MODEL
# Updating Refinery Models for updated workflow input (galaxy worfkflow input id & node_uuid
count = 0
for samp in ret_list:
count += 1
for k, v in samp.items():
temp_input = WorkflowDataInputMap(
workflow_data_input_name=k,
data_uuid=samp[k]["node_uuid"],
pair_id=count)
temp_input.save()
analysis.workflow_data_input_maps.add(temp_input)
analysis.save()
# keeping new reference to analysis_status
analysis_status = AnalysisStatus.objects.create(analysis=analysis)
analysis_status.save()
# call function via analysis_manager
run_analysis.delay(analysis)
redirect_url = reverse('analysis_manager.views.analysis_status',
args=(analysis.uuid, ))
return HttpResponse(redirect_url)
def repository_run(request):
logger.debug("analysis_manager.views.repository_run called")
if request.method == 'POST':
print(simplejson.dumps(request.POST, indent=4))
# attributes associated with node selection from interface
node_selection_blacklist_mode = request.POST[
'node_selection_blacklist_mode']
if node_selection_blacklist_mode == 'true':
node_selection_blacklist_mode = True
else:
node_selection_blacklist_mode = False
node_selection = request.POST.getlist('node_selection[]')
# solr results
solr_query = request.POST["query"]
solr_uuids = get_solr_results(
solr_query,
only_uuids=True,
selected_mode=node_selection_blacklist_mode,
selected_nodes=node_selection)
# gets workflow_uuid
workflow_uuid = request.POST['workflow_choice']
# get study uuid
study_uuid = request.POST['study_uuid']
# retrieving workflow based on input workflow_uuid
curr_workflow = Workflow.objects.filter(uuid=workflow_uuid)[0]
# TODO: catch if study or data set don't exist
study = Study.objects.get(uuid=study_uuid)
data_set = InvestigationLink.objects.filter(
investigation__uuid=study.investigation.uuid).order_by(
"version").reverse()[0].data_set
logger.info("Associating analysis with data set %s (%s)" %
(data_set, data_set.uuid))
######### ANALYSIS MODEL ########
# How to create a simple analysis object
temp_name = curr_workflow.name + " " + datetime.now().strftime(
"%Y-%m-%d @ %H:%M:%S")
summary_name = "None provided."
analysis = Analysis(
summary=summary_name,
name=temp_name,
project=request.user.get_profile().catch_all_project,
data_set=data_set,
workflow=curr_workflow,
time_start=datetime.now())
analysis.save()
#setting the owner
analysis.set_owner(request.user)
# gets galaxy internal id for specified workflow
workflow_galaxy_id = curr_workflow.internal_id
# getting distinct workflow inputs
workflow_data_inputs = curr_workflow.data_inputs.all()[0]
# NEED TO GET LIST OF FILE_UUIDS from solr query
count = 0
for file_uuid in solr_uuids:
count += 1
temp_input = WorkflowDataInputMap(
workflow_data_input_name=workflow_data_inputs.name,
data_uuid=file_uuid,
pair_id=count)
temp_input.save()
analysis.workflow_data_input_maps.add(temp_input)
analysis.save()
# keeping new reference to analysis_status
analysis_status = AnalysisStatus.objects.create(analysis=analysis)
analysis_status.save()
# call function via analysis_manager
run_analysis.delay(analysis)
#import pdb; pdb.set_trace()
logger.debug(
request.build_absolute_uri(
reverse('analysis_manager.views.analysis_status',
args=(analysis.uuid, ))))
ret_url = request.build_absolute_uri(
reverse('analysis_manager.views.analysis_status',
args=(analysis.uuid, )))
return HttpResponse(simplejson.dumps(ret_url),
mimetype='application/json')
def analysis_run(request):
logger.debug("analysis_manager.views.analysis_run called")
logger.debug("POST request content\n" +
simplejson.dumps(request.POST, indent=4))
# gets workflow_uuid
workflow_uuid = request.POST.getlist('workflow_choice')[0]
# get study uuid
study_uuid = request.POST.getlist('study_uuid')[0]
# list of selected assays
selected_uuids = {}
# finds all selected assays
# (node_uuid, and associated workflow input type for selected samples)
for i, val in request.POST.iteritems():
if (val and val != ""):
if (i.startswith('assay_')):
temp_uuid = i.replace('assay_', '')
selected_uuids[temp_uuid] = val
#### DEBUG CODE ####
# Turn input from POST into ingestable data/exp format
# retrieving workflow based on input workflow_uuid
annot_inputs = get_workflow_inputs(workflow_uuid)
len_inputs = len(set(annot_inputs))
logger.debug("selected_uuids: " + selected_uuids)
#------------ CONFIGURE INPUT FILES -------------------------- #
ret_list = []
ret_item = copy.deepcopy(annot_inputs)
pair_count = 0
pair = 1
tcount = 0
#for sd in selected_data:
while len(selected_uuids) != 0:
tcount += 1
if tcount > 5000:
break
for k, v in ret_item.iteritems():
for index, sd in selected_uuids.items():
# dealing w/ cases where their are more than input for a galaxy workflow
if len_inputs > 1:
if k == sd and ret_item[k] is None:
ret_item[k] = {}
ret_item[k]["node_uuid"] = index
ret_item[k]["pair_id"] = pair
pair_count += 1
del selected_uuids[index]
if pair_count == 2:
ret_list.append(ret_item)
ret_item = copy.deepcopy(annot_inputs)
pair_count = 0
pair += 1
# deals w/ the case where there is a single input for a galaxy workflow
elif len_inputs == 1:
ret_item = copy.deepcopy(annot_inputs)
ret_item[k] = {}
ret_item[k]["node_uuid"] = index
ret_item[k]["pair_id"] = pair
ret_list.append(ret_item)
del selected_uuids[index]
pair += 1
# retrieving workflow based on input workflow_uuid
curr_workflow = Workflow.objects.filter(uuid=workflow_uuid)[0]
### ----------------------------------------------------------------#
### REFINERY MODEL UPDATES ###
# TODO: catch if study or data set don't exist
study = Study.objects.get(uuid=study_uuid)
data_set = InvestigationLink.objects.filter(
investigation__uuid=study.investigation.uuid).order_by(
"version").reverse()[0].data_set
logger.info("Associating analysis with data set %s (%s)" %
(data_set, data_set.uuid))
######### ANALYSIS MODEL ########
# How to create a simple analysis object
temp_name = curr_workflow.name + " " + str(datetime.now())
summary_name = "None provided."
analysis = Analysis(summary=summary_name,
name=temp_name,
project=request.user.get_profile().catch_all_project,
data_set=data_set,
workflow=curr_workflow,
time_start=datetime.now())
analysis.save()
#setting the owner
analysis.set_owner(request.user)
# gets galaxy internal id for specified workflow
workflow_galaxy_id = curr_workflow.internal_id
# getting distinct workflow inputs
workflow_data_inputs = curr_workflow.data_inputs.all()
logger.debug("ret_list")
logger.debug(simplejson.dumps(ret_list, indent=4))
######### ANALYSIS MODEL
# Updating Refinery Models for updated workflow input (galaxy worfkflow input id & node_uuid
count = 0
for samp in ret_list:
count += 1
for k, v in samp.items():
temp_input = WorkflowDataInputMap(workflow_data_input_name=k,
data_uuid=samp[k]["node_uuid"],
pair_id=count)
temp_input.save()
analysis.workflow_data_input_maps.add(temp_input)
analysis.save()
# keeping new reference to analysis_status
#analysis_status = AnalysisStatus.objects.create(analysis_uuid=analysis.uuid)
analysis_status = AnalysisStatus.objects.create(analysis=analysis)
analysis_status.save()
# call function via analysis_manager
run_analysis.delay(analysis)
return HttpResponseRedirect(
reverse('analysis_manager.views.analysis_status',
args=(analysis.uuid, )))
def run(request):
"""Run analysis, return URL of the analysis status page
Needs re-factoring
"""
logger.debug("analysis_manager.views.run called")
if not request.is_ajax():
return HttpResponseBadRequest() # 400
allowed_methods = ['POST']
if request.method not in allowed_methods:
return HttpResponseNotAllowed(allowed_methods) # 405
analysis_config = simplejson.loads(request.body)
try:
workflow_uuid = analysis_config['workflowUuid']
study_uuid = analysis_config['studyUuid']
node_set_uuid = analysis_config['nodeSetUuid']
node_relationship_uuid = analysis_config['nodeRelationshipUuid']
except KeyError:
return HttpResponseBadRequest() # 400
# must provide workflow and study UUIDs,
# and either node set UUID or node relationship UUID
if not (workflow_uuid and study_uuid and (node_set_uuid or node_relationship_uuid)):
return HttpResponseBadRequest() # 400
# single-input workflow
if node_set_uuid:
#TODO: handle DoesNotExist exception
curr_node_set = NodeSet.objects.get(uuid=node_set_uuid)
curr_node_dict = curr_node_set.solr_query_components
curr_node_dict = simplejson.loads(curr_node_dict)
# solr results
solr_uuids = get_solr_results(
curr_node_set.solr_query,
only_uuids=True,
selected_mode=curr_node_dict['documentSelectionBlacklistMode'],
selected_nodes=curr_node_dict['documentSelection']
)
# retrieving workflow based on input workflow_uuid
#TODO: handle DoesNotExist exception
curr_workflow = Workflow.objects.filter(uuid=workflow_uuid)[0]
# TODO: catch if study or data set don't exist
study = Study.objects.get(uuid=study_uuid);
data_set = InvestigationLink.objects.filter(
investigation__uuid=study.investigation.uuid).order_by(
"version").reverse()[0].data_set;
logger.info("Associating analysis with data set %s (%s)"
% (data_set, data_set.uuid))
######### ANALYSIS MODEL ########
# How to create a simple analysis object
temp_name = curr_workflow.name + " " + datetime.now().strftime("%Y-%m-%d @ %H:%M:%S")
summary_name = "None provided."
analysis = Analysis(summary=summary_name,
name=temp_name,
project=request.user.get_profile().catch_all_project,
data_set=data_set,
workflow=curr_workflow,
time_start=datetime.now())
analysis.save()
analysis.set_owner(request.user)
# gets galaxy internal id for specified workflow
workflow_galaxy_id = curr_workflow.internal_id
# getting distinct workflow inputs
workflow_data_inputs = curr_workflow.data_inputs.all()[0]
# NEED TO GET LIST OF FILE_UUIDS from solr query
count = 0;
for file_uuid in solr_uuids:
count += 1
temp_input = WorkflowDataInputMap(
workflow_data_input_name=workflow_data_inputs.name,
data_uuid=file_uuid,
pair_id=count
)
temp_input.save()
analysis.workflow_data_input_maps.add(temp_input)
analysis.save()
# dual-input workflow
if node_relationship_uuid:
# Input list for running analysis
ret_list = []
# retrieving workflow based on input workflow_uuid
curr_workflow = Workflow.objects.get(uuid=workflow_uuid)
# TODO: catch if study or data set don't exist
study = Study.objects.get(uuid=study_uuid);
data_set = InvestigationLink.objects.filter(
investigation__uuid=study.investigation.uuid).order_by(
"version").reverse()[0].data_set;
# Get node relationship model
curr_relationship = NodeRelationship.objects.get(uuid=node_relationship_uuid)
# Iterating over node pairs
input_keys = []
base_input = {}
# defining inputs used for analysis
for workflow_inputs in curr_workflow.input_relationships.all():
base_input[workflow_inputs.set1] = {}
base_input[workflow_inputs.set2] = {}
input_keys.append(workflow_inputs.set1)
input_keys.append(workflow_inputs.set2)
# creating instance of instance of input data pairing for analysis,
# i.e. [{u'exp_file': {'node_uuid': u'3d061699-6bc8-11e2-9b55-406c8f1d5108', 'pair_id': 1}, u'input_file': {'node_uuid': u'3d180d11-6bc8-11e2-9bc7-406c8f1d5108', 'pair_id': 1}}]
count = 1
for curr_pair in curr_relationship.node_pairs.all():
temp_pair = copy.deepcopy(base_input)
print "curr_pair"
print temp_pair
print curr_pair
#temp_pair = {}
if curr_pair.node2:
#print curr_pair.node2.uuid
temp_pair[input_keys[0]]['node_uuid'] = curr_pair.node1.uuid
temp_pair[input_keys[0]]['pair_id'] = count
temp_pair[input_keys[1]]['node_uuid'] = curr_pair.node2.uuid
temp_pair[input_keys[1]]['pair_id'] = count
ret_list.append(temp_pair)
print temp_pair
count += 1
logger.info("Associating analysis with data set %s (%s)"
% (data_set, data_set.uuid))
######### ANALYSIS MODEL ########
# How to create a simple analysis object
temp_name = curr_workflow.name + " " + str(datetime.now())
summary_name = "None provided."
analysis = Analysis(summary=summary_name,
name=temp_name,
project=request.user.get_profile().catch_all_project,
data_set=data_set,
workflow=curr_workflow,
time_start=datetime.now())
analysis.save()
analysis.set_owner(request.user)
# gets galaxy internal id for specified workflow
workflow_galaxy_id = curr_workflow.internal_id
# getting distinct workflow inputs
workflow_data_inputs = curr_workflow.data_inputs.all()
logger.debug("ret_list")
logger.debug(simplejson.dumps(ret_list, indent=4))
######### ANALYSIS MODEL
# Updating Refinery Models for updated workflow input (galaxy worfkflow input id & node_uuid
count = 0
for samp in ret_list:
count += 1
for k,v in samp.items():
temp_input = WorkflowDataInputMap(
workflow_data_input_name=k,
data_uuid=samp[k]["node_uuid"],
pair_id=count)
temp_input.save()
analysis.workflow_data_input_maps.add(temp_input)
analysis.save()
# keeping new reference to analysis_status
analysis_status = AnalysisStatus.objects.create(analysis=analysis)
analysis_status.save()
# call function via analysis_manager
run_analysis.delay(analysis)
redirect_url = reverse('analysis_manager.views.analysis_status', args=(analysis.uuid,))
return HttpResponse(redirect_url)
def repository_run(request):
logger.debug( "analysis_manager.views.repository_run called")
if request.method == 'POST':
print( simplejson.dumps(request.POST, indent=4) )
# attributes associated with node selection from interface
node_selection_blacklist_mode = request.POST['node_selection_blacklist_mode']
if node_selection_blacklist_mode == 'true':
node_selection_blacklist_mode = True
else:
node_selection_blacklist_mode = False
node_selection = request.POST.getlist('node_selection[]')
# solr results
solr_query = request.POST["query"]
solr_uuids = get_solr_results(solr_query, only_uuids=True, selected_mode=node_selection_blacklist_mode, selected_nodes=node_selection)
# gets workflow_uuid
workflow_uuid = request.POST['workflow_choice']
# get study uuid
study_uuid = request.POST['study_uuid']
# retrieving workflow based on input workflow_uuid
curr_workflow = Workflow.objects.filter(uuid=workflow_uuid)[0]
# TODO: catch if study or data set don't exist
study = Study.objects.get( uuid=study_uuid );
data_set = InvestigationLink.objects.filter( investigation__uuid=study.investigation.uuid ).order_by( "version" ).reverse()[0].data_set;
logger.info( "Associating analysis with data set %s (%s)" % ( data_set, data_set.uuid ) )
######### ANALYSIS MODEL ########
# How to create a simple analysis object
temp_name = curr_workflow.name + " " + datetime.now().strftime("%Y-%m-%d @ %H:%M:%S")
summary_name = "None provided."
analysis = Analysis( summary=summary_name, name=temp_name, project=request.user.get_profile().catch_all_project, data_set=data_set, workflow=curr_workflow, time_start=datetime.now() )
analysis.save()
#setting the owner
analysis.set_owner(request.user)
# gets galaxy internal id for specified workflow
workflow_galaxy_id = curr_workflow.internal_id
# getting distinct workflow inputs
workflow_data_inputs = curr_workflow.data_inputs.all()[0]
# NEED TO GET LIST OF FILE_UUIDS from solr query
count = 0;
for file_uuid in solr_uuids:
count += 1
temp_input = WorkflowDataInputMap( workflow_data_input_name=workflow_data_inputs.name, data_uuid=file_uuid, pair_id=count)
temp_input.save()
analysis.workflow_data_input_maps.add( temp_input )
analysis.save()
# keeping new reference to analysis_status
analysis_status = AnalysisStatus.objects.create(analysis=analysis)
analysis_status.save()
# call function via analysis_manager
run_analysis.delay(analysis)
#import pdb; pdb.set_trace()
logger.debug(request.build_absolute_uri(reverse('analysis_manager.views.analysis_status', args=(analysis.uuid,)) ))
ret_url = request.build_absolute_uri(reverse('analysis_manager.views.analysis_status', args=(analysis.uuid,)) )
return HttpResponse(simplejson.dumps(ret_url), mimetype='application/json')
def analysis_run(request):
logger.debug("analysis_manager.views.analysis_run called")
logger.debug("POST request content\n" + simplejson.dumps(request.POST, indent=4))
# gets workflow_uuid
workflow_uuid = request.POST.getlist('workflow_choice')[0]
# get study uuid
study_uuid = request.POST.getlist('study_uuid')[0]
# list of selected assays
selected_uuids = {};
# finds all selected assays
# (node_uuid, and associated workflow input type for selected samples)
for i, val in request.POST.iteritems():
if (val and val != ""):
if (i.startswith('assay_')):
temp_uuid = i.replace('assay_', '')
selected_uuids[temp_uuid] = val
#### DEBUG CODE ####
# Turn input from POST into ingestable data/exp format
# retrieving workflow based on input workflow_uuid
annot_inputs = get_workflow_inputs(workflow_uuid)
len_inputs = len(set(annot_inputs))
logger.debug("selected_uuids: " + selected_uuids)
#------------ CONFIGURE INPUT FILES -------------------------- #
ret_list = [];
ret_item = copy.deepcopy(annot_inputs)
pair_count = 0
pair = 1
tcount = 0
#for sd in selected_data:
while len(selected_uuids) != 0:
tcount += 1
if tcount > 5000:
break
for k, v in ret_item.iteritems():
for index, sd in selected_uuids.items():
# dealing w/ cases where their are more than input for a galaxy workflow
if len_inputs > 1:
if k == sd and ret_item[k] is None:
ret_item[k] = {}
ret_item[k]["node_uuid"] = index
ret_item[k]["pair_id"] = pair
pair_count += 1
del selected_uuids[index]
if pair_count == 2:
ret_list.append(ret_item)
ret_item = copy.deepcopy(annot_inputs)
pair_count = 0
pair += 1
# deals w/ the case where there is a single input for a galaxy workflow
elif len_inputs == 1:
ret_item = copy.deepcopy(annot_inputs)
ret_item[k] = {};
ret_item[k]["node_uuid"] = index
ret_item[k]["pair_id"] = pair
ret_list.append(ret_item)
del selected_uuids[index]
pair += 1;
# retrieving workflow based on input workflow_uuid
curr_workflow = Workflow.objects.filter(uuid=workflow_uuid)[0]
### ----------------------------------------------------------------#
### REFINERY MODEL UPDATES ###
# TODO: catch if study or data set don't exist
study = Study.objects.get( uuid=study_uuid );
data_set = InvestigationLink.objects.filter( investigation__uuid=study.investigation.uuid ).order_by( "version" ).reverse()[0].data_set;
logger.info( "Associating analysis with data set %s (%s)" % ( data_set, data_set.uuid ) )
######### ANALYSIS MODEL ########
# How to create a simple analysis object
temp_name = curr_workflow.name + " " + str( datetime.now() )
summary_name = "None provided."
analysis = Analysis( summary=summary_name, name=temp_name, project=request.user.get_profile().catch_all_project, data_set=data_set, workflow=curr_workflow, time_start=datetime.now() )
analysis.save()
#setting the owner
analysis.set_owner(request.user)
# gets galaxy internal id for specified workflow
workflow_galaxy_id = curr_workflow.internal_id
# getting distinct workflow inputs
workflow_data_inputs = curr_workflow.data_inputs.all()
logger.debug("ret_list")
logger.debug(simplejson.dumps(ret_list, indent=4))
######### ANALYSIS MODEL
# Updating Refinery Models for updated workflow input (galaxy worfkflow input id & node_uuid
count = 0;
for samp in ret_list:
count += 1
for k,v in samp.items():
temp_input = WorkflowDataInputMap( workflow_data_input_name=k, data_uuid=samp[k]["node_uuid"], pair_id=count)
temp_input.save()
analysis.workflow_data_input_maps.add( temp_input )
analysis.save()
# keeping new reference to analysis_status
#analysis_status = AnalysisStatus.objects.create(analysis_uuid=analysis.uuid)
analysis_status = AnalysisStatus.objects.create(analysis=analysis)
analysis_status.save()
# call function via analysis_manager
run_analysis.delay(analysis)
return HttpResponseRedirect(reverse('analysis_manager.views.analysis_status', args=(analysis.uuid,)))