def process(self, user, curveset):
if self.type == 'processing':
if self.cleaned_data.get('method') in self.methods:
a = mmodels.Processing(
owner=user,
curveSet=curveset,
method=self.cleaned_data.get('method'),
name="",
step=0,
deleted=False,
completed=False)
a.save()
return a.id
else:
return None
elif self.type == 'analysis':
if self.cleaned_data.get('method') in self.methods:
a = mmodels.Analysis(
owner=user,
curveSet=curveset,
method=self.cleaned_data.get('method'),
name="",
step=0,
deleted=False,
completed=False)
a.save()
curveset.locked = True #CurveSet cannot be changed when used by Analysis method.
curveset.save()
return a.id
else:
return None
def process(self, user, dataset):
if self.type == 'processing':
mname = self.cleaned_data.get('method', None)
if mname in self.methods:
a = mmodels.Processing(
owner=user,
dataset=dataset,
method=mname,
method_display_name=self.methods[mname].__str__(),
name='',
active_step_num=0,
deleted=False,
completed=False
)
a.save()
dataset.prepareUndo(processingObject=a)
return a.id
return None
elif self.type == 'analysis':
mname = self.cleaned_data.get('method', None)
if mname in self.methods:
a = mmodels.Analysis(
owner=user,
dataset=dataset,
method=mname,
method_display_name=self.methods[mname].__str__(),
name='',
active_step_num=0,
deleted=False,
completed=False
)
a.save()
dataset.save()
return a.id
return None
def test_methods_usage(self):
# TODO: This requires better test, using Client model
return
manager.helpers.functions.get_user = lambda: self.user
p = mmodels.Processing(owner=self.user,
dataset=self.dataset,
date=timezone.now(),
name='PROC',
method='TestMethod',
active_step_num=0,
deleted=False,
completed=False)
p.save()
mema = mm.MethodManager(user=self.user, processing_id=p.id)
class req:
method = 'POST'
POST = {}
def __init__(self):
self.POST['query'] = 'methodmanager'
request = req()
mema.process(request=request, user=self.user)
p = mmodels.Processing.objects.get(id=p.id)
self.assertEqual(p.custom_data['FINALIZED'], self.user.id)
def process(self, user, dataset):
self._checkDataset(dataset)
if self.type == 'processing':
mname = self.cleaned_data.get('method', None)
if mname in self.methods:
if self.methods[mname].errors:
errors = '\n'.join([str(x) for x in self.methods[mname].errors])
raise VoltPyFailed('Data does not meets requirements for selected method: %s' % errors)
a = mmodels.Processing(
owner=user,
dataset=dataset,
method=mname,
method_display_name=self.methods[mname].__str__(),
name='',
active_step_num=0,
deleted=False,
completed=False
)
a.save()
dataset.prepareUndo(processing_instance=a)
return a.id
return None
elif self.type == 'analysis':
mname = self.cleaned_data.get('method', None)
if mname in self.methods:
if self.methods[mname].errors:
errors = '\n'.join([str(x) for x in self.methods[mname].errors])
raise VoltPyFailed('Data does not meets requirements for selected method: %s' % errors)
a = mmodels.Analysis(
owner=user,
dataset=dataset,
method=mname,
method_display_name=self.methods[mname].__str__(),
name='',
active_step_num=0,
deleted=False,
completed=False
)
a.save()
dataset.save()
return a.id
return None
def test_methods_usage(self):
p = mmodels.Processing(owner=self.user,
curveSet=self.curveset,
date=timezone.now(),
customData={},
name='PROC',
method='TestMethod',
step=0,
deleted=False,
completed=False)
p.save()
mema = mm.MethodManager(user=self.user, processing_id=p.id)
class req:
method = 'POST'
POST = {}
def __init__(self):
self.POST['query'] = 'methodmanager'
request = req()
mema.process(request=request, user=self.user)
p = mmodels.Processing.objects.get(id=p.id)
self.assertEqual(p.customData['FINALIZED'], self.user.id)