def runningTaskList(self):
# print ('RUNNING_TASK_MEMORY RUNNING_TASK_MEMORY',RUNNING_TASK_MEMORY)
for num, tempRS in enumerate(RUNNING_TASK_MEMORY):
tempStat = RUNNING_TASK_MEMORY[num]
data_details = autoMLutilities.readStatusFile(tempRS['idforData'])
# print (tempStat.keys())
for j in data_details.keys():
tempStat[j] = data_details[j]
# print ('Status call data_details.keys()',tempStat.keys())
try:
projectName = tempRS['idforData']
logFolder = 'logs/'
data_details[
'generationInfo'] = autoMLutilities.progressOfModel(
logFolder, projectName)
tempStat['generationInfo'] = data_details['generationInfo']
try:
data_details = autoMLutilities.readStatusFile(
tempRS['idforData'])
if data_details['listOfModelAccuracy'] != []:
tempStat['generationInfo'] = data_details[
'listOfModelAccuracy']
except:
pass
except:
pass
statusOfProject = data_details['status']
tempStat['status'] = statusOfProject
try:
# print ('ppppppppppp >>>>>>>>',1)
if tempStat['type'] == 'NNProject':
tempStat['url'] = data_details['tensorboardUrl']
# print ('ppppppppppp >>>>>>>>',3)
if data_details['errorMessage']:
tempStat['errorMessage'] = data_details['errorMessage']
# print ('ppppppppppp >>>>>>>>',4)
if tempStat['errorTraceback']:
tempStat['errorTraceback'] = data_details['errorTraceback']
# print ('ppppppppppp >>>>>>>>',5)
RUNNING_TASK_MEMORY[num] = tempStat
# print ('RUNNING_TASK_MEMORY hhaha',RUNNING_TASK_MEMORY)
except:
pass
runTaskListSorted = sorted(RUNNING_TASK_MEMORY,
key=itemgetter('createdOn'),
reverse=True)
# print (runTaskListSorted[0].keys())
runningTask = {'runningTask': runTaskListSorted}
return JsonResponse(runningTask, status=200)
def statusOfModel(idforData):
try:
projectName = idforData
# print ('STep 1')
data_details = autoMLutilities.readStatusFile(projectName)
# print ('STep 2')
data_details['generationInfo'] = autoMLutilities.progressOfModel(
logFolder, projectName)
# print ('STep 3')
except:
projectName = idforData
# print ('STep 1')
data_details = autoMLutilities.readStatusFile(projectName)
# print ('STep 2')
# print ('MMMMMMMMMMMM',data_details)
# for j in data_details:
# print (j,type(data_details[j]))
return JsonResponse(data_details, status=200)
def runningTaskList():
for num, tempRS in enumerate(RUNNING_TASK_MEMORY):
try:
data_details = autoMLutilities.readStatusFile(
tempRS['idforData'])
statusOfProject = data_details['status']
tempStat = RUNNING_TASK_MEMORY[num]
tempStat['status'] = statusOfProject
if tempStat['type'] == 'NNProject':
tempStat['url'] = data_details['tensorboardUrl']
if data_details['errorMessage']:
tempStat['errorMessage'] = data_details['errorMessage']
if tempStat['errorTraceback']:
tempStat['errorTraceback'] = data_details['errorTraceback']
RUNNING_TASK_MEMORY[num] = tempStat
except:
pass
runTaskListSorted = sorted(RUNNING_TASK_MEMORY,
key=itemgetter('createdOn'),
reverse=True)
runningTask = {'runningTask': runTaskListSorted}
return JsonResponse(runningTask, status=200)