def create_simulation_ajax(request):
if request.GET:
try:
in_file = File(open("./pgss15compbio/media/temp.txt", "w+"))
in_file.write(request.GET['str'])
Parser.Parser().get_model(in_file, 'hello')
return HttpResponse("1")
except ValueError:
return HttpResponse(status=412)
print request.POST
form = AlgorithmRunForm(request.POST, request.FILES)
if form.is_valid():
new_algorithm_run = AlgorithmRun(input_file = request.FILES['input_file'],
name = request.POST['name'], description = request.POST['description'],
status = "PROCESSING" )
new_algorithm_run.save()
request.user.userprofile.algorithm_runs.add(new_algorithm_run)
request.user.userprofile.save()
finish_iteration.delay(new_algorithm_run.pk)
context = {'simulation': new_algorithm_run}
return render_to_response('skeletonpages/simulation_running.html', context, RequestContext(request))
def file_test(request):
# Handle file upload
if request.method == 'POST':
form = AlgorithmRunForm(request.POST, request.FILES)
if form.is_valid():
out_file = File(open("./pgss15compbio/media/out_file.txt", "w+"))
p = Parser()
model = p.get_model(request.FILES['input_file'], out_file)
model.iterate()
new_algorithm_run = AlgorithmRun(input_file = request.FILES['input_file'],
output_file=out_file)
new_algorithm_run.save()
# Redirect to the document list after POST
h = HttpResponseRedirect("../../media/out_file.txt")
return h
else:
form = AlgorithmRunForm() # A empty, unbound form
# Load documents for the list page
algorithm_runs = AlgorithmRun.objects.all()
# Render list page with the documents and the form
return render_to_response(
'skeletonpages/file_test.html',
{'algorithm_runs': algorithm_runs, 'form': form},
context_instance=RequestContext(request)
)
def create_simulation(request):
form = AlgorithmRunForm(request.POST, request.FILES)
if form.is_valid():
file_name = "./pgss15compbio/media/out_file_{}.csv".format( str(random())[2:] )
out_file = File(open(file_name, "w+"))
p = Parser()
model = p.get_model(request.FILES['input_file'], out_file)
model.iterate()
new_algorithm_run = AlgorithmRun(input_file = request.FILES['input_file'],
output_file = out_file, name=request.POST['name'],
description = request.POST['description'])
new_algorithm_run.save()
request.user.userprofile.algorithm_runs.add(new_algorithm_run)
request.user.userprofile.save()
output_file = new_algorithm_run.output_file
first_line = output_file.readline()
list_of_lists = []
for variable_name in first_line.strip().split(","):
list_of_lists.append([variable_name])
for line in output_file.readlines():
# ipdb.set_trace()
split_line = line.split(",")
for index, value in enumerate(split_line):
list_of_lists[index].append(float(value.rstrip()))
dictionary = {}
for sublist in list_of_lists:
dictionary.update( { sublist[0]: sublist[1:] } )
keys = []
for sublist in list_of_lists:
keys.append(sublist[0])
context = {'simulation': simulation, 'simulation_values': mark_safe(dictionary), 'variable_names': keys}
return render_to_response('skeletonpages/show_simulation.html',
context,
RequestContext(request)
)
def input(request):
if request.method == 'POST':
form = AlgorithmRunForm(request.POST, request.FILES)
if form.is_valid():
out_file = File(open("./pgss15compbio/media/out_file.csv", "w+"))
p = Parser()
model = p.get_model(request.FILES['input_file'], out_file)
model.iterate()
new_algorithm_run = AlgorithmRun(input_file=request.FILES['input_file'],
output_file=out_file)
new_algorithm_run.save()
# Redirect to the document list after POST
h = HttpResponseRedirect("../../media/out_file.csv")
return h
else:
form = AlgorithmRunForm() # A empty, unbound form
context = {'active_tab': '#input-nav', 'form': form}
return render_to_response('skeletonpages/input.html', context, RequestContext(request))
