def create_indicator(self, attr_type, ind_type):
"""
Create any simple indicator indicator
"""
return Indicator.create_with_attribute(self.cleaned_data['name'],
attr_type=attr_type,
indicator_type=ind_type)
def create_location_indicator(self):
"""
Create a location indicator with a default area type.
If no area type, raise a ValidationError.
"""
try:
area_type = AreaType.objects.all()[0]
except (AreaType.DoesNotExist, IndexError):
raise ValidationError('You must create at least one area type '\
'before using locations')
return Indicator.create_with_attribute(self.cleaned_data['name'],
attr_type=eav.models.Attribute.TYPE_OBJECT,
indicator_type=LocationIndicator,
kwargs={'area_type':area_type})
def create_indicator_with_params(self, indicator_type):
"""
Create a any indicator that needs a numerical parameter
If there is not at least 2 numerical indicators in this view
we can use as default parameters, raise a ValidationError.
"""
indicators = self.view.get_numerical_indicators()
if not indicators:
raise ValidationError('You need at least one other indicator '\
'using number before creating this one')
return Indicator.create_with_attribute(self.cleaned_data['name'],
attr_type=eav.models.Attribute.TYPE_FLOAT,
indicator_type=indicator_type,
args=(indicators[0],))
def create_difference_indicator(self):
"""
Create a indicator substracting two default values.
If there is not at least 2 numerical indicators in this view
we can use as default parameters, raise a ValidationError.
"""
indicators = self.view.get_numerical_indicators()
if len(indicators) < 2:
raise ValidationError('You have at least two other indicators '\
'using numbers before creating this one')
return Indicator.create_with_attribute(self.cleaned_data['name'],
attr_type=eav.models.Attribute.TYPE_FLOAT,
indicator_type=DifferenceIndicator,
kwargs={'first_term': indicators[0],
'term_to_substract': indicators[1]})
def create_dividing_indicator(self, indicator_type):
"""
Create a rate or a ratio indicator with default numerator and
denominator.
If there is not at least 2 numerical indicators in this view
we can use as default parameters, raise a ValidationError.
"""
indicators = self.view.get_numerical_indicators()
if len(indicators) < 2:
raise ValidationError('You need at least two other indicators '\
'using numbers before creating this one')
return Indicator.create_with_attribute(self.cleaned_data['name'],
attr_type=eav.models.Attribute.TYPE_FLOAT,
indicator_type=indicator_type,
kwargs={'numerator': indicators[0],
'denominator': indicators[1]})
