def test_program_unmigrated_indicators_old_level_new_level_and_number_order(self):
translation.activate('fr')
p = RFProgramFactory(migrated=False)
l1 = LevelFactory(program=p, parent=None, customsort=0)
l2 = LevelFactory(program=p, parent=l1, customsort=0)
indicators = [
RFIndicatorFactory(program=p, old_level=old_level, number=number, level=level)
for old_level, number, level in reversed([
('Goal', '2', None), ('Outcome', '1', None), ('Outcome', '1.2', l1), ('Outcome', '1.3', None),
('Output', '1.1.1', l2), ('Output', '1.1.2', None), ('Activity', '1.1.2.1', l1)
])
]
indicator_pks = [i.pk for i in indicators]
data = ProgramLevelOrderingProgramSerializer(
Program.rf_aware_objects.filter(pk=p.pk), many=True
).data[0]
self.assertEqual(
data['indicator_pks_level_order'],
list(reversed(indicator_pks))
)
self.assertEqual(
data['indicator_pks_chain_order'],
list(reversed(indicator_pks))
)
translation.activate('en')
def test_program_three_levels_with_unassigned_indicators(self):
program = RFProgramFactory(tiers=['Tier1', 'Tier2]'])
goal = LevelFactory(program=program, parent=None)
output = LevelFactory(program=program, parent=goal)
output_indicator = RFIndicatorFactory(program=program, level=output)
impact = LevelFactory(program=program, parent=output)
impact_indicator1 = RFIndicatorFactory(program=program,
level=impact,
number='21',
old_level='Activity')
impact_indicator2 = RFIndicatorFactory(program=program,
level=impact,
number='11',
old_level='Goal')
for old_level, number, pk in [
('Activity', '2.1', 106),
('Impact', '1.4', 102),
('Impact', '1.2', 101),
('Output', '1.3', 103),
('Goal', '1', 104),
('Activity', '1.1.5', 105),
]:
RFIndicatorFactory(program=program,
level=None,
old_level=old_level,
number=number,
pk=pk)
data = get_serialized_data(program.pk)
self.assertEqual(data['level_pks_level_order'],
[goal.pk, output.pk, impact.pk])
self.assertEqual(data['level_pks_chain_order'],
[goal.pk, output.pk, impact.pk])
self.assertEqual(
sorted(data['indicator_pks_for_level'], key=lambda l: l['pk']),
sorted([
{
'pk': goal.pk,
'indicator_pks': []
},
{
'pk': output.pk,
'indicator_pks': [output_indicator.pk]
},
{
'pk': impact.pk,
'indicator_pks':
[impact_indicator1.pk, impact_indicator2.pk]
},
],
key=lambda l: l['pk']))
self.assertEqual(data['unassigned_indicator_pks'],
[104, 101, 102, 103, 105, 106])
def test_program_migrated_unassigned_indicators(self):
p = RFProgramFactory(tiers=["Tier1", "Tier2", "Tier3"])
l1 = LevelFactory(program=p, parent=None, customsort=0)
LevelFactory(program=p, parent=l1, customsort=0)
i1 = RFIndicatorFactory(program=p, level=None)
i2 = RFIndicatorFactory(program=p, level=None)
data = ProgramLevelOrderingProgramSerializer(
Program.rf_aware_objects.filter(pk=p.pk), many=True
).data[0]
self.assertIn(i1.pk, data['indicator_pks_level_order'])
self.assertIn(i2.pk, data['indicator_pks_level_order'])
self.assertIn(i1.pk, data['indicator_pks_chain_order'])
self.assertIn(i2.pk, data['indicator_pks_chain_order'])
def setUp(self):
self.user = UserFactory(first_name="Indicator",
last_name="CreateTest",
username="******",
is_superuser=True)
self.user.set_password('password')
self.user.save()
self.tola_user = TolaUserFactory(user=self.user)
self.country = self.tola_user.country
self.program = ProgramFactory(funding_status='Funded',
reporting_period_start='2016-03-01',
reporting_period_end='2020-05-01')
self.program.country.add(self.country)
self.program.save()
self.program = Program.objects.get(
) # forces reporting_period_start/end from str to date()
self.indicator = IndicatorFactory(
program=self.program,
unit_of_measure_type=Indicator.NUMBER,
is_cumulative=False,
direction_of_change=Indicator.DIRECTION_OF_CHANGE_NONE,
target_frequency=Indicator.ANNUAL)
self.level = LevelFactory(program=self.program)
self.request_factory = RequestFactory()
self.client = Client()
self.client.login(username="******", password='******')
def test_non_rf_level_with_level_assigned(self):
p = RFProgramFactory(migrated=False)
data = self.get_indicator_data(program=p,
level=LevelFactory(program=p, pk=5),
old_level="Outcome")
self.assertEqual(data['old_level_name'], "Outcome")
self.assertEqual(data['level_pk'], 3)
def setUp(self):
super(CSVIndicatorTestBase, self).setUp()
self.sectors = [SectorFactory(),]
self.levels = [LevelFactory(),]
self.disaggregations = [DisaggregationTypeFactory(),]
self.indicatortypes = [IndicatorTypeFactory(),]
self.indicators = []
self.response = None
class TestIndicatorInstance(test.TestCase):
def setUp(self):
self.level = LevelFactory()
self.indicator = IndicatorFactory(name="testname", level=self.level)
def tearDown(self):
self.level.delete()
self.indicator.delete()
def test_instances(self):
indicators = IPTTIndicator.notargets.all()
self.assertEqual(len(indicators), 1)
self.assertEqual(indicators[0].name, self.indicator.name)
def test_level(self):
indicator = IPTTIndicator.notargets.first()
self.assertEqual(indicator.level_name, self.level.name)
def test_program_migrated_one_indicator_per_level(self):
p = RFProgramFactory(tiers=["Tier1", "Tier2", "Tier3"])
l1 = LevelFactory(program=p, parent=None, customsort=0)
l11 = LevelFactory(program=p, parent=l1, customsort=0)
l111 = LevelFactory(program=p, parent=l11, customsort=0)
l112 = LevelFactory(program=p, parent=l11, customsort=1)
l12 = LevelFactory(program=p, parent=l1, customsort=1)
l121 = LevelFactory(program=p, parent=l12, customsort=0)
l122 = LevelFactory(program=p, parent=l12, customsort=1)
i1 = RFIndicatorFactory(program=p, level=l1, level_order=0)
i11 = RFIndicatorFactory(program=p, level=l11, level_order=0)
i111 = RFIndicatorFactory(program=p, level=l111, level_order=0)
i112 = RFIndicatorFactory(program=p, level=l112, level_order=0)
i12 = RFIndicatorFactory(program=p, level=l12, level_order=0)
i121 = RFIndicatorFactory(program=p, level=l121, level_order=0)
i122 = RFIndicatorFactory(program=p, level=l122, level_order=0)
data = ProgramLevelOrderingProgramSerializer(
Program.rf_aware_objects.filter(pk=p.pk), many=True
).data[0]
self.assertEqual(
data['indicator_pks_level_order'],
[i1.pk, i11.pk, i12.pk, i111.pk, i112.pk, i121.pk, i122.pk]
)
self.assertEqual(
data['indicator_pks_chain_order'],
[i1.pk, i11.pk, i111.pk, i112.pk, i12.pk, i121.pk, i122.pk]
)
def test_program_migrated_unassigned_indicators_old_level_order(self):
p = RFProgramFactory(tiers=["Tier1", "Tier2", "Tier3"])
l1 = LevelFactory(program=p, parent=None, customsort=0)
l11 = LevelFactory(program=p, parent=l1, customsort=0)
i1 = RFIndicatorFactory(program=p, level=None, old_level='Activity')
i2 = RFIndicatorFactory(program=p, level=None, old_level='Outcome')
i3 = RFIndicatorFactory(program=p, level=None, old_level='Output')
i4 = RFIndicatorFactory(program=p, level=l11, old_level='Output')
data = ProgramLevelOrderingProgramSerializer(
Program.rf_aware_objects.filter(pk=p.pk), many=True
).data[0]
self.assertEqual(
data['indicator_pks_level_order'],
[i4.pk, i2.pk, i3.pk, i1.pk]
)
self.assertEqual(
data['indicator_pks_chain_order'],
[i4.pk, i2.pk, i3.pk, i1.pk]
)
def test_program_one_level(self):
program = RFProgramFactory(tiers=['Only Tier'])
level = LevelFactory(program=program, parent=None)
data = get_serialized_data(program.pk)
self.assertEqual(data['level_pks_level_order'], [level.pk])
self.assertEqual(data['level_pks_chain_order'], [level.pk])
self.assertEqual(data['indicator_pks_for_level'], [{
'pk': level.pk,
'indicator_pks': []
}])
self.assertEqual(data['unassigned_indicator_pks'], [])
def test_program_mercycorps_tiers(self):
program = RFProgramFactory(tiers=True)
goal = LevelFactory(program=program, parent=None)
output1 = LevelFactory(program=program, parent=goal)
output2 = LevelFactory(program=program, parent=goal)
impact11 = LevelFactory(program=program, parent=output1)
impact12 = LevelFactory(program=program, parent=output1)
impact21 = LevelFactory(program=program, parent=output2)
data = get_serialized_data(program.pk)
self.assertEqual(data['level_pks_level_order'], [
goal.pk, output1.pk, output2.pk, impact11.pk, impact12.pk,
impact21.pk
])
self.assertEqual(data['level_pks_chain_order'], [
goal.pk, output1.pk, impact11.pk, impact12.pk, output2.pk,
impact21.pk
])
self.assertEqual(
sorted(data['indicator_pks_for_level'], key=lambda l: l['pk']),
sorted([{
'pk': level_pk,
'indicator_pks': []
} for level_pk in [
goal.pk, output1.pk, impact11.pk, impact12.pk, output2.pk,
impact21.pk
]],
key=lambda l: l['pk']))
self.assertEqual(data['unassigned_indicator_pks'], [])
def test_program_one_level_with_unassigned_indicators(self):
program = RFProgramFactory(tiers=['Only Tier'])
level = LevelFactory(program=program, parent=None)
indicator_pks = [
RFIndicatorFactory(program=program, level=None, number=number).pk
for number in ['231', '14', '11']
]
data = get_serialized_data(program.pk)
self.assertEqual(data['indicator_pks_for_level'], [{
'pk': level.pk,
'indicator_pks': []
}])
self.assertEqual(data['unassigned_indicator_pks'], indicator_pks[::-1])
def test_program_one_level(self):
program = RFProgramFactory(tiers=['Tier1'])
tier = program.level_tiers.first()
level = LevelFactory(program=program, parent=None, name="Test name")
data = get_serialized_data(program.pk, levels=True)
for key, value in {
'pk': level.pk,
'name': "Test name",
'ontology': '',
'tier_name': 'Tier1',
'tier_pk': tier.pk,
'chain_pk': 'all'
}.items():
self.assertEqual(data['levels'][0][key], value)
def test_program_one_level_with_indicators(self):
program = RFProgramFactory(tiers=['Only Tier'])
level = LevelFactory(program=program, parent=None)
indicator_pks = [
RFIndicatorFactory(program=program, level=level).pk
for _ in range(3)
]
data = get_serialized_data(program.pk)
self.assertEqual(data['indicator_pks_for_level'],
[{
'pk': level.pk,
'indicator_pks': indicator_pks
}])
self.assertEqual(data['unassigned_indicator_pks'], [])
def test_sorting_by_level_order_migrated(self):
program = Program.objects.get(pk=RFProgramFactory(migrated=True).pk)
level = LevelFactory(program=program)
these_numbers = self.numbers[0]
to_assign = these_numbers[0:]
to_assign.reverse()
for count, number in enumerate(to_assign):
IndicatorFactory(program=program,
number=number,
level=level,
level_order=count)
indicators = unassigned_sort_func(
Indicator.rf_aware_objects.filter(program=program))
self.assertEqual([i.number for i in indicators], to_assign)
def test_program_migrated_indicators_number_order(self):
p = RFProgramFactory(tiers=["Tier1", "Tier2", "Tier3"])
l1 = LevelFactory(program=p, parent=None, customsort=0)
l11 = LevelFactory(program=p, parent=l1, customsort=0)
numbers = ['8', '9', '10']
pks = []
for number in reversed(numbers):
pks.append(RFIndicatorFactory(program=p, number=number).pk)
i0 = RFIndicatorFactory(program=p, level=l11, number='1', level_order=0, pk=10)
i1 = RFIndicatorFactory(program=p, level=l11, number='1012', level_order=1, pk=20)
pks.append(i1.pk)
pks.append(i0.pk)
pks.append(RFIndicatorFactory(program=p, level=l1, number='1012,asdf', pk=40).pk)
data = ProgramLevelOrderingProgramSerializer(
Program.rf_aware_objects.filter(pk=p.pk), many=True
).data[0]
self.assertEqual(
data['indicator_pks_level_order'],
list(reversed(pks))
)
self.assertEqual(
data['indicator_pks_chain_order'],
list(reversed(pks))
)
def levels(self, create, extracted, **kwargs):
"""post-gen hooks are called in declaration order, so this can depend upon tiers method"""
tiers = self.level_tiers.all()
from factories.indicators_models import LevelFactory
def get_children(parents, count):
return tuple([
get_children(parent, count)
if isinstance(parent, tuple) else tuple([count] * parent)
for parent in parents
])
def convert_to_data(counts_for_tier, parents=None, count=0):
this_tier_counts = counts_for_tier.pop(0)
lower_tier_levels = []
level_sets = []
for c, level_count in enumerate(this_tier_counts):
level_sets.append(([row[c] for row in counts_for_tier], [{
'count':
count + x,
'parent':
parents[c]['count'] if parents is not None else None,
'depth':
parents[c]['depth'] + 1 if parents is not None else 0
} for x in range(level_count)]))
count += level_count
for lower_tier_counts, level_parents in level_sets:
if lower_tier_counts:
new_lower_tiers, count = convert_to_data(
lower_tier_counts, level_parents, count)
lower_tier_levels += new_lower_tiers
return [
level_data for data_set in level_sets
for level_data in data_set[1]
] + lower_tier_levels, count
if isinstance(extracted, int):
levels_per_tier = []
parents = (1, )
for tier in tiers:
levels_per_tier.append(parents)
parents = get_children(parents, extracted)
levels_data, _ = convert_to_data(levels_per_tier)
elif isinstance(extracted, list):
levels_data, _ = convert_to_data(extracted)
else:
return
levels = []
universal_level_data = kwargs.get('all', {})
universal_level_data.update({'program': self})
level_pks = kwargs.get('pks', [])
tier = None
for count, level_data in enumerate(levels_data):
new_tier = tiers[level_data['depth']]
if new_tier != tier:
depth_count = 1
tier = new_tier
this_level_data = {
'name':
u"Tier: {} Order: {}".format(tier.name, depth_count),
'customsort':
depth_count,
'parent':
levels[level_data['parent']]
if level_data['parent'] is not None else None
}
depth_count += 1
if level_pks and len(level_pks) > count:
this_level_data.update({'pk': level_pks[count]})
this_level_data.update(universal_level_data)
this_level_data.update(kwargs.get(str(level_data['count']), {}))
levels.append(LevelFactory(**this_level_data))
def setUp(self):
self.level = LevelFactory()
self.indicator = IndicatorFactory(name="testname", level=self.level)
def test_program_multiple_levels(self):
program = RFProgramFactory(tiers=['Tier1', SPECIAL_CHARS, LONG_NAME])
levels = {}
tiers = sorted(program.level_tiers.all(),
key=lambda tier: tier.tier_depth)
goal = LevelFactory(program=program,
parent=None,
name=SPECIAL_CHARS,
customsort=1)
levels[goal.pk] = {
'name': SPECIAL_CHARS,
'tier_pk': tiers[0].pk,
'tier_name': 'Tier1',
'chain_pk': 'all',
'ontology': ''
}
impact1 = LevelFactory(program=program,
parent=goal,
name=LONG_NAME,
customsort=1)
levels[impact1.pk] = {
'name': LONG_NAME,
'tier_pk': tiers[1].pk,
'tier_name': SPECIAL_CHARS,
'chain_pk': impact1.pk,
'ontology': '1'
}
output1 = LevelFactory(program=program,
parent=impact1,
name=SPECIAL_CHARS,
customsort=1)
levels[output1.pk] = {
'name': SPECIAL_CHARS,
'tier_pk': tiers[2].pk,
'tier_name': LONG_NAME,
'chain_pk': impact1.pk,
'ontology': '1.1'
}
output2 = LevelFactory(program=program, parent=impact1, customsort=2)
levels[output2.pk] = {'ontology': '1.2'}
impact2 = LevelFactory(program=program, parent=goal, customsort=2)
levels[impact2.pk] = {
'tier_pk': tiers[1].pk,
'chain_pk': impact2.pk,
'ontology': '2'
}
levels[LevelFactory(program=program, parent=goal, customsort=3).pk] = {
'ontology': '3'
}
levels[LevelFactory(program=program, parent=impact2,
customsort=1).pk] = {
'tier_pk': tiers[2].pk,
'chain_pk': impact2.pk,
'ontology': '2.1'
}
data = get_serialized_data(program.pk, levels=True)
counted = []
for level_data in data['levels']:
self.assertIn(level_data['pk'], levels)
for key, value in levels[level_data['pk']].items():
self.assertEqual(level_data[key], value)
counted.append(level_data['pk'])
self.assertEqual(set(counted), set(levels.keys()))