def combined_excel_image(request, uniquename, exp_type):
feat = Feature.objects.get(uniquename=uniquename)
excel_datas = feat.combined_experiment_excel_data(exp_type)
out_fhand = NamedTemporaryFile(suffix='.svg')
draw_combined_graph(excel_datas, out_fhand)
image_content = open(out_fhand.name).read()
content_type = 'image/svg+xml'
return HttpResponse(image_content, content_type=content_type)
def filter_private_and_make_svgs(experiments_by_type, user):
public_experiments_by_type = {}
# filter private
try:
user = User.objects.get(username=user)
except User.DoesNotExist:
user = AnonymousUser()
for type_, exps in experiments_by_type.items():
for exp in exps:
if exp.owner == user or user.is_staff or exp.is_public:
if type_ not in public_experiments_by_type:
public_experiments_by_type[type_] = []
public_experiments_by_type[type_].append(exp)
combined_svgs = []
for exp_type, excel_data in combined_experiment_excel_data(public_experiments_by_type):
if exp_type.startswith("NS") or not excel_data:
continue
out_fhand = StringIO()
draw_combined_graph(excel_data, out_fhand, exp_type)
combined_svgs.append((exp_type, out_fhand.getvalue()))
return combined_svgs
def test_combined(self):
fhand = NamedTemporaryFile(suffix='.svg')
fhand = open('/tmp/tmpf.svg', 'w')
draw_combined_graph(COMBINED_DATA, fhand, 'SE_001')
raw_input(fhand.name)
fhand.close()
