def data(request, id):
batch = None
data = None
try:
batch = ApiBatch.objects.get(user=request.user, id=int(id))
if batch.success:
try:
data = ApiBatchData.objects.get(batch=batch)
except:
pass
if not data:
client = Client(CAPTRICITY_API_TOKEN)
BATCH_NAME = batch.name
related_job_id = ast.literal_eval(
batch.submit)['related_job_id']
csv_out = client.read_job_results_csv(related_job_id)
data = ApiBatchData.objects.create(batch=batch, text=csv_out)
data.save()
else:
raise Exception("Batch was not successfull")
except:
batch.status = "Error while extracting data"
batch.save()
messages.error(request, "There was an error in the batch")
return HttpResponseRedirect("/home/")
data = data.text.splitlines()
for n, d in enumerate(data):
data[n] = d.split(",")
messages.success(request, "The data was extracted successfully")
return render(request, "api/data.html", {"data": data, "batch": batch})
def data(request,id):
batch = None
data = None
try:
batch = ApiBatch.objects.get(user = request.user,id=int(id))
if batch.success:
try:
data = ApiBatchData.objects.get(batch = batch)
except:
pass
if not data:
client = Client(CAPTRICITY_API_TOKEN)
BATCH_NAME = batch.name
related_job_id = ast.literal_eval(batch.submit)['related_job_id']
csv_out = client.read_job_results_csv(related_job_id)
data = ApiBatchData.objects.create(batch=batch,text = csv_out)
data.save()
else:
raise Exception("Batch was not successfull")
except:
batch.status = "Error while extracting data"
batch.save()
messages.error(request, "There was an error in the batch")
return HttpResponseRedirect("/home/")
data = data.text.splitlines()
for n,d in enumerate(data):
data[n] = d.split(",")
messages.success(request, "The data was extracted successfully")
return render(request,"api/data.html",{"data":data,"batch":batch})
def mailUser():
from api.models import ApiBatch, ApiBatchData
from captools.api import Client
from Captricity.settings import CAPTRICITY_API_TOKEN
from django.core.mail import send_mail
import ast
batches = ApiBatch.objects.filter(success = True)
for batch in batches:
data = ApiBatchData.objects.filter(batch = batch)
if data.count() == 0:
client = Client(CAPTRICITY_API_TOKEN)
related_job_id = ast.literal_eval(batch.submit)['related_job_id']
csv_out = client.read_job_results_csv(related_job_id)
data = ApiBatchData.objects.create(batch=batch,text = csv_out)
data.save()
send_mail('Captricity data completed.', 'Your data is completed. The link for the data is http://localhost:8000/api/data/'+str(batch.id)+"/", '*****@*****.**',
[batch.user.email], fail_silently=False)
else:
pass
break # Digitization time varies between a few minutes to a few hours depending on your Job's size. # You can track the progress of your Job using the percent_completed property of the Job resource. # Once your Job is complete, you can use the Captricity API to extract your results. # If you are interested in the results from a certain Instance Set, you can pull the digitized # data for just the Shreds in that Instance Set. # First, find your Instance Set's id by listing all the Instance Sets in the Job: instance_sets = client.read_instance_sets(submitted_batch['related_job_id']) # Once you have found the id of your Instance Set, you can then list all the Shreds # in that Instance Set using the Instance Set Shreds resource: print print client.read_instance_set_shreds(instance_sets[0]['id']) print # The result of the digitization is in the best_estimate property of each Shred. # If you'd like the whole dataset, grab the CSV export from the Job Results CSV resource. csv_out = client.read_job_results_csv(submitted_batch['related_job_id']) print "Data out:" print "=========" print csv_out
import sys
from captools.api import Client
if __name__ == '__main__':
if len(sys.argv) < 2:
print 'You must pass in a job id'
sys.exit(0)
from api_token import API_TOKEN
client = Client(API_TOKEN)
job_id = sys.argv[1]
if client.read_document(client.read_job(job_id)['document_id'])['name'] != 'Example School Survey Template':
print 'You must choose a job that is using the example school survey template'
sys.exit(0)
instance_sets = client.read_instance_sets(job_id)
shreds = client.read_instance_set_shreds(instance_sets[0]['id'])
print 'Sample result of one cell:', shreds[0]
csv_out = client.read_job_results_csv(job_id)
print 'CSV result:'
print csv_out
