def create_ds(owner, data):
'''
' Creates a new Datastream given a key and some data. The keys owner is used as the Datastream's owner.
' The data needs to contain the name for the Datastream as a minimum in order to create it.
'
' Keyword Arguments:
' key - Valid key object.
' data - Dictionary of key value pairs for the data to create the Datastream with
'
' Returns: New Datastream object or dictionary containing any exceptions and errors that occured
'''
timingMark = time.time()
ds = DataStream(owner=owner)
for attr, val in data.iteritems():
if attr == "scaling_function":
try:
sc = ScalingFunction.objects.get(name__iexact=val)
except ScalingFunction.DoesNotExist as e:
error = "ScalingFunction with the name '%s' does not exist." % str(val)
return {"error": error, "exception": str(e)}
setattr(ds, attr, sc)
else:
try:
setattr(ds, attr, val)
except Exception as e:
error = "There was a problem setting '%s' with the value '%s'." % (str(attr), str(val))
return {"error": error, "exception": str(e)}
print 'Assign attr time: %f' % (time.time() - timingMark)
timingMark = time.time()
try:
ds.full_clean()
ds.save()
except ValidationError as e:
unique_error = u'Data stream with this Owner and Name already exists.'
if '__all__' in e.message_dict and unique_error in e.message_dict['__all__']:
raise e
error = "There were one or more problems setting DataStream attributes."
return {"error": error, "exception": str(e)}
print 'Clean and save time: %f' % (time.time() - timingMark)
print
return ds
try:
scaleF = ScalingFunction.objects.get(name="Identity")
print "Scaling Function good."
except ObjectDoesNotExist:
print "I am creating a scaling function"
scaleF = ScalingFunction(name="Identity", definition="return x;")
scaleF.save()
try:
ds1 = DataStream.objects.get(id=1)
except ObjectDoesNotExist:
ds1 = DataStream(
id=1,
name="Test data 1",
description="Simple Sign curve",
color="purple",
min_value=-50.0,
max_value=50.0,
scaling_function=scaleF,
owner=AuthUser.objects.get(username="******"),
)
ds1.save()
try:
ds2 = DataStream.objects.get(id=2)
except ObjectDoesNotExist:
ds2 = DataStream(
id=2,
name="Test data 2",
description="Amplitude modulated sin curve.",
color="red ",
min_value=-50.0,
