def setUp(self):
self.registry = MeasureRegistry()
data_dir = os.path.join(os.path.dirname(__file__), 'data')
people = (PandasMeasureProvider(
name='people',
data=os.path.join(data_dir, 'people.csv')).provides_identifier(
'person', expr='id', role='primary').provides_identifier(
'geography', expr='id_country',
role='foreign').provides_dimension(
'name').provides_measure('age'))
self.registry.register(people)
transactions = (PandasMeasureProvider(
name='transactions',
data=os.path.join(
data_dir, 'transactions.csv')).provides_identifier(
'transaction', expr='id',
role='primary').provides_identifier(
'person:buyer', expr='id_buyer',
role='foreign').provides_identifier(
'person:seller', expr='id_seller',
role='foreign').provides_measure('value'))
self.registry.register(transactions)
self.registry.show()
def setUp(self):
self.registry = MeasureRegistry()
data_dir = os.path.join(os.path.dirname(__file__), 'data')
people = (
PandasMeasureProvider(
name='people',
data=os.path.join(data_dir, 'people.csv')
)
.provides_identifier('person', expr='id', role='primary')
.provides_dimension('name')
.provides_measure('age')
.provides_partition('ds')
)
self.registry.register(people)
people2 = (
PandasMeasureProvider(
name='people2',
data=os.path.join(data_dir, 'people.csv')
)
.provides_identifier('person', expr='id', role='unique')
.provides_identifier('geography', expr='id_geography', role='foreign')
.provides_partition('ds')
)
self.registry.register(people2)
geographies = (
PandasMeasureProvider(
name='geographies',
data=os.path.join(data_dir, 'geographies.csv')
)
.provides_identifier('geography', expr='id_geography', role='primary')
.provides_dimension('name')
.provides_measure('population')
.provides_partition('ds')
)
self.registry.register(geographies)
transactions = (
PandasMeasureProvider(
name='transactions',
data=os.path.join(data_dir, 'transactions.csv')
)
.provides_identifier('transaction', expr='id', role='primary')
.provides_identifier('person:buyer', expr='id_buyer', role='foreign')
.provides_identifier('person:seller', expr='id_seller', role='foreign')
.provides_measure('value')
.provides_partition('ds', requires_constraint=True)
)
self.registry.register(transactions)
class PandasMeasureProviderTests(unittest.TestCase):
def setUp(self):
self.registry = MeasureRegistry()
data_dir = os.path.join(os.path.dirname(__file__), 'data')
people = (
PandasMeasureProvider(
name='people',
data=os.path.join(data_dir, 'people.csv')
)
.provides_identifier('person', expr='id', role='primary')
.provides_identifier('geography', expr='id_country', role='foreign')
.provides_dimension('name')
.provides_measure('age')
)
self.registry.register(people)
transactions = (
PandasMeasureProvider(
name='transactions',
data=os.path.join(data_dir, 'transactions.csv')
)
.provides_identifier('transaction', expr='id', role='primary')
.provides_identifier('person:buyer', expr='id_buyer', role='foreign')
.provides_identifier('person:seller', expr='id_seller', role='foreign')
.provides_measure('value')
)
self.registry.register(transactions)
def test_simple(self):
df = self.registry.evaluate(
'transaction',
measures=['person:seller/age'],
segment_by=['person:buyer/name'],
where=None
)
self.assertGreater(len(df.raw), 0)
self.assertEqual(
set(df.columns),
set([
'person:seller/age|normal|count',
'person:seller/age|normal|sos',
'person:seller/age|normal|sum',
'person:buyer/name'
])
)
self.assertFalse(df.raw.duplicated('person:buyer/name').any())
def __init__(self, measure_registry=None):
self.measures = measure_registry or MeasureRegistry()
self._metrics = {}
class EvaluationStrategyTests(unittest.TestCase):
def setUp(self):
self.registry = MeasureRegistry()
data_dir = os.path.join(os.path.dirname(__file__), 'data')
people = (PandasMeasureProvider(
name='people',
data=os.path.join(data_dir, 'people.csv')).provides_identifier(
'person', expr='id', role='primary').provides_dimension(
'name').provides_measure('age').provides_partition('ds'))
self.registry.register(people)
people2 = (PandasMeasureProvider(
name='people2',
data=os.path.join(data_dir, 'people.csv')).provides_identifier(
'person', expr='id', role='unique').provides_identifier(
'geography', expr='id_geography',
role='foreign').provides_partition('ds'))
self.registry.register(people2)
geographies = (PandasMeasureProvider(
name='geographies',
data=os.path.join(data_dir,
'geographies.csv')).provides_identifier(
'geography',
expr='id_geography',
role='primary').provides_dimension('name').
provides_measure('population').provides_partition('ds'))
self.registry.register(geographies)
transactions = (PandasMeasureProvider(
name='transactions',
data=os.path.join(data_dir,
'transactions.csv')).provides_identifier(
'transaction', expr='id',
role='primary').provides_identifier(
'person:buyer',
expr='id_buyer',
role='foreign').provides_identifier(
'person:seller',
expr='id_seller',
role='foreign').provides_measure(
'value').provides_partition(
'ds',
requires_constraint=True))
self.registry.register(transactions)
def test_simple(self):
es = self.registry.evaluate('person',
measures=['age'],
segment_by=['name'],
dry_run=True)
self.assertIn('age', es.measures)
self.assertIn('name', es.segment_by)
def test_simple_where(self):
es = self.registry.evaluate('person',
measures=['age'],
segment_by=['name'],
where={'ds': '2018-01-01'},
dry_run=True)
self.assertIn('age', es.measures)
self.assertIn('name', es.segment_by)
self.assertIn('ds', es.segment_by)
self.assertIsInstance(es.where, Constraint)
self.assertEqual(es.where.field, 'ds')
self.assertEqual(es.where.value, '2018-01-01')
self.assertEqual(es.where.relation, '==')
def test_requires_constraint_enforced(self):
es = self.registry.evaluate('transaction',
measures=['value'],
dry_run=True)
self.assertRaises(RuntimeError, es._check_constraints)
es = self.registry.evaluate('transaction',
measures=['value'],
where={'ds': '2018-01-01'},
dry_run=True)
es._check_constraints()
def test_multiple_providers_for_unit_type(self):
es = self.registry.evaluate('person:seller',
measures=['age'],
segment_by=['geography'],
dry_run=True)
self.assertIn('age', es.measures)
self.assertIn('geography', es.segment_by)
# self.assertFalse(es.segment_by['geography'].private)
# self.assertTrue(es.segment_by['geography'].external)
self.assertIn('person', es.segment_by)
# self.assertTrue(es.segment_by['person'].private)
self.assertIn('ds', es.segment_by)
self.assertEqual(es.joins[0].provider.name, 'people2')
self.assertEqual(set(es.joins[0].join_on_left), set(['person', 'ds']))
self.assertEqual(set(es.joins[0].join_on_right), set(['person', 'ds']))
self.assertIsNone(es.joins[0].join_prefix)
def test_primary_key_requirement(self):
es = self.registry.evaluate('person',
segment_by=['geography'],
dry_run=True)
self.assertEqual(len(es.joins), 1)
self.assertEqual(es.joins[0].unit_type, 'person')
self.assertEqual(set(es.joins[0].segment_by),
{'person', 'geography', 'ds'})
def test_forward_joins(self):
es = self.registry.evaluate('transaction',
measures=['person:seller/age'],
segment_by=['person:buyer/name'],
where={'*/ds': '2018-01-01'},
dry_run=True)
# TODO: uncomment privacy when strategy updated to use dictionaries
# Top-level strategy check
self.assertIn('person:seller/age', es.measures)
# self.assertFalse(es.measures['person:seller/age'].private)
self.assertIn('person:buyer/name', es.segment_by)
# self.assertFalse(es.segment_by['person:buyer/age'].private)
self.assertIn('person:seller', es.segment_by)
# self.assertTrue(es.segment_by['person:seller/person'].private)
self.assertIn('person:buyer', es.segment_by)
# self.assertTrue(es.segment_by['person:buyer/person'].private)
self.assertIn('ds', es.segment_by)
# self.assertTrue(es.segment_by['person:buyer/ds'].private)
# Joins check
self.assertEqual(len(es.joins), 2)
for join in es.joins:
self.assertEqual({'person', 'ds'}, set(join.join_on_right))
if join.unit_type == 'person:seller':
self.assertEqual({'person:seller', 'ds'},
set(join.join_on_left))
elif join.unit_type == 'person:buyer':
self.assertEqual({'person:buyer', 'ds'},
set(join.join_on_left))
else:
raise ValueError("Invalid unit type detected.")
def test_reverse_joins(self):
es = self.registry.evaluate('person:seller',
measures=['transaction/value'],
segment_by=['name', 'person:seller'],
where={'*/ds': '2018-01-01'},
dry_run=True)
# TODO: uncomment privacy when strategy updated to use dictionaries
self.assertIn('transaction/value', es.measures)
# self.assertFalse(es.segment_by['transaction/value'].private)
# self.assertTrue(es.segment_by['transaction/value'].external)
self.assertIn('name', es.segment_by)
# self.assertFalse(es.segment_by['name'].private)
self.assertIn('person',
es.segment_by) # TODO: Expose as person:seller?
# self.assertFalse(es.segment_by['person'].private)
# Join information
rjoin = es.joins[0]
self.assertEqual(rjoin.join_prefix, 'transaction')
self.assertEqual(rjoin.unit_type, 'person:seller')
self.assertEqual(rjoin.strategy_type, STRATEGY_TYPE.UNIT_REBASE)
self.assertIn('person:seller', rjoin.segment_by)
self.assertIn('ds', rjoin.segment_by)
self.assertEqual({'person', 'ds'}, set(rjoin.join_on_left))
self.assertEqual({'person:seller', 'ds'}, set(rjoin.join_on_right))
