def test_max_without_collapse_same_as_avg(self):
self.query.add_series(self.single_series, self.rep_mode, self.series_periodicity)
data = self.query.run()
other_query = ESQuery(settings.TEST_INDEX)
other_query.add_series(self.single_series, self.rep_mode, self.series_periodicity, collapse_agg='max')
other_data = other_query.run()
for i, row in enumerate(data):
self.assertEqual(tuple(row), tuple(other_data[i]))
def test_query_add_aggregation(self):
avg_query = ESQuery(index=settings.TEST_INDEX)
avg_query.add_series(self.single_series, self.rep_mode, self.series_periodicity, 'avg')
data = avg_query.run()
self.query.add_series(self.single_series, self.rep_mode, self.series_periodicity, 'sum')
for i, row in enumerate(data):
avg_value = data[i][1]
sum_value = row[1]
# En query común el parámetro collapse_agg NO TIENE EFECTO
self.assertEqual(avg_value, sum_value)
def test_add_query_aggregation(self):
avg_query = ESQuery(index=settings.TEST_INDEX)
avg_query.add_series(self.single_series, self.rep_mode, self.series_periodicity, 'avg')
data = avg_query.run()
self.query.add_series(self.single_series, self.rep_mode, self.series_periodicity, 'sum')
sum_data = self.query.run()
for i, row in enumerate(sum_data):
# Suma debe ser siempre mayor que el promedio
sum_value = row[1]
avg_value = data[i][1]
self.assertGreater(sum_value, avg_value)
def test_preserve_query_order(self):
self.query.add_series(self.single_series, self.rep_mode, self.series_periodicity)
self.query.add_series(self.delayed_series,
self.rep_mode,
self.series_periodicity)
query = ESQuery(index=settings.TEST_INDEX)
query.add_series(self.single_series, self.rep_mode, self.series_periodicity)
query.sort('asc')
first_date = query.run()[0][0]
self.query.sort('asc')
data = self.query.run()
self.assertEqual(data[0][0], first_date)
def test_min_max_collapse_agg_with_rep_mode(self):
self.query.add_series(self.single_series, 'percent_change', self.series_periodicity)
self.query.add_pagination(start=1, limit=12)
data = self.query.run()
other_query = ESQuery(settings.TEST_INDEX)
other_query.add_series(self.single_series, 'percent_change', self.series_periodicity, collapse_agg='max')
other_query.add_pagination(start=0, limit=1)
other_query.add_collapse('year')
other_data = other_query.run()
min_val = max([row[1] for row in data])
self.assertAlmostEqual(min_val, other_data[0][1], places=5)
def test_end_of_period_with_rep_mode(self):
self.query.add_series(self.single_series, 'percent_change',
self.series_periodicity, 'end_of_period')
self.query.add_collapse('year')
self.query.sort('asc')
data = self.query.run()
orig_eop = ESQuery(index=settings.TEST_INDEX)
orig_eop.add_series(self.single_series, self.rep_mode,
self.series_periodicity, 'end_of_period')
orig_eop.add_collapse('year')
orig_eop.sort('asc')
end_of_period = orig_eop.run()
for i, row in enumerate(data): # El primero es nulo en pct change
value = end_of_period[i + 1][1] / end_of_period[i][1] - 1
self.assertAlmostEqual(value, row[1])
def test_same_series_rep_mode(self):
self.query.add_series(self.single_series, self.rep_mode, self.series_periodicity)
self.query.add_series(self.single_series, 'percent_change_a_year_ago', self.series_periodicity)
data = self.query.run()
other_query = ESQuery(settings.TEST_INDEX)
other_query.add_series(self.single_series, 'percent_change_a_year_ago', self.series_periodicity)
other_query.add_series(self.single_series, self.rep_mode, self.series_periodicity)
other_data = other_query.run()
# Esperado: mismos resultados, invertidos en orden de fila
for i, row in enumerate(data):
other_row = other_data[i]
self.assertEqual(row[0], other_row[0])
self.assertEqual(row[1], other_row[2])
self.assertEqual(row[2], other_row[1])
def test_index_continuity(self):
self.query.add_series(self.delayed_series,
self.rep_mode,
self.series_periodicity)
self.query.add_series(self.single_series, self.rep_mode, self.series_periodicity)
self.query.add_filter(start="1910", end="1920")
self.query.sort('asc')
query = ESQuery(index=settings.TEST_INDEX)
query.add_series(self.single_series, self.rep_mode, self.series_periodicity)
query.add_filter(start="1921") # Garantiza datos vacíos entre 1920-1921
query.add_pagination(start=0, limit=1000)
query.sort('asc')
data = self.query.run()
current_date = iso8601.parse_date(data[0][0])
for row in data[1:]:
row_date = iso8601.parse_date(row[0])
self.assertEqual(current_date + relativedelta(months=1), row_date)
current_date = row_date
def test_query_fills_nulls_second_series(self):
self.query.add_series(self.delayed_series,
self.rep_mode,
self.series_periodicity)
self.query.add_series(self.single_series, self.rep_mode, self.series_periodicity)
query = ESQuery(index=settings.TEST_INDEX)
query.add_series(self.single_series, self.rep_mode, self.series_periodicity)
query.sort('asc')
delayed_first_date = iso8601.parse_date(query.run()[0][0])
self.query.sort('asc')
data = self.query.run()
delayed_series_index = 2 # Segunda serie agregada
for row in data:
current_date = iso8601.parse_date(row[0])
if current_date < delayed_first_date:
self.assertEqual(row[delayed_series_index], None)
else:
break
def test_end_of_period(self):
query = ESQuery(index=settings.TEST_INDEX)
query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
query.add_pagination(start=0, limit=1000)
query.sort('asc')
query.add_filter(start="1970")
orig_data = query.run()
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity, 'end_of_period')
self.query.add_filter(start="1970")
self.query.add_collapse('year')
eop_data = self.query.run()
for eop_row in eop_data:
eop_value = eop_row[1]
year = iso8601.parse_date(eop_row[0]).year
for row in orig_data:
row_date = iso8601.parse_date(row[0])
if row_date.year == year and row_date.month == 12:
self.assertAlmostEqual(eop_value, row[1],
5) # EOP trae pérdida de precisión
break
class QueryTest(TestCase):
start = constants.API_DEFAULT_VALUES['start']
limit = constants.API_DEFAULT_VALUES['limit']
default_limit = constants.API_DEFAULT_VALUES['limit']
max_limit = 1000
start_date = '2010-01-01'
end_date = '2015-01-01'
single_series = SERIES_NAME
rep_mode = 'value'
series_periodicity = 'month' # Periodicidad de la serie anterior
delayed_series = settings.TEST_SERIES_NAME_DELAYED.format('month')
@classmethod
def setUpClass(cls):
super(QueryTest, cls).setUpClass()
def setUp(self):
self.query = ESQuery(settings.TEST_INDEX)
def test_initially_no_series(self):
self.assertFalse(self.query.series)
def test_pagination(self):
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
self.query.add_pagination(self.start, self.limit)
data = self.query.run()
self.assertEqual(len(data), self.limit - self.start)
def test_pagination_limit(self):
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
self.query.add_pagination(self.start, self.max_limit)
self.query.sort(how='asc')
data = self.query.run()
self.assertEqual(len(data), self.max_limit - self.start)
def test_time_filter(self):
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
self.query.add_filter(self.start_date, self.end_date)
data = self.query.run()
for row in data:
if 'T' in row[0]:
date = iso8601.parse_date(row[0])
start_date = iso8601.parse_date(self.start_date)
end_date = iso8601.parse_date(self.end_date)
else:
date = iso8601.parse_date(row[0])
start_date = iso8601.parse_date(self.start_date)
end_date = iso8601.parse_date(self.end_date)
self.assertGreaterEqual(date, start_date)
self.assertLessEqual(date, end_date)
def test_execute_single_series(self):
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
data = self.query.run()
self.assertTrue(data)
def test_default_return_limits(self):
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
data = self.query.run()
self.assertEqual(len(data), self.default_limit)
def test_add_series(self):
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
data = self.query.run()
self.assertTrue(data)
# Expected: rows de 2 datos: timestamp, valor de la serie
self.assertTrue(len(data[0]) == 2)
def test_add_two_series(self):
self.query.add_series(self.single_series,
'value',
periodicity=self.series_periodicity)
self.query.add_series(self.single_series,
'percent_change',
periodicity=self.series_periodicity)
data = self.query.run()
self.assertTrue(data)
# Expected: rows de 3 datos: timestamp, serie 1, serie 2
self.assertTrue(len(data[0]) == 3)
def test_preserve_query_order(self):
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
self.query.add_series(self.delayed_series, self.rep_mode,
self.series_periodicity)
query = ESQuery(index=settings.TEST_INDEX)
query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
query.sort('asc')
first_date = query.run()[0][0]
self.query.sort('asc')
data = self.query.run()
self.assertEqual(data[0][0], first_date)
def test_query_fills_nulls(self):
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
self.query.add_series(self.delayed_series, self.rep_mode,
self.series_periodicity)
query = ESQuery(index=settings.TEST_INDEX)
query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
query.sort('asc')
delayed_first_date = iso8601.parse_date(query.run()[0][0])
self.query.sort('asc')
data = self.query.run()
delayed_series_index = 1 # Primera serie agregada
for row in data:
current_date = iso8601.parse_date(row[0])
if current_date < delayed_first_date:
self.assertEqual(row[delayed_series_index], None)
else:
break
def test_query_fills_nulls_second_series(self):
self.query.add_series(self.delayed_series, self.rep_mode,
self.series_periodicity)
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
query = ESQuery(index=settings.TEST_INDEX)
query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
query.sort('asc')
delayed_first_date = iso8601.parse_date(query.run()[0][0])
self.query.sort('asc')
data = self.query.run()
delayed_series_index = 2 # Segunda serie agregada
for row in data:
current_date = iso8601.parse_date(row[0])
if current_date < delayed_first_date:
self.assertEqual(row[delayed_series_index], None)
else:
break
def test_index_continuity(self):
self.query.add_series(self.delayed_series, self.rep_mode,
self.series_periodicity)
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
self.query.add_filter(start="1910", end="1920")
self.query.sort('asc')
query = ESQuery(index=settings.TEST_INDEX)
query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
query.add_filter(
start="1921") # Garantiza datos vacíos entre 1920-1921
query.add_pagination(start=0, limit=1000)
query.sort('asc')
data = self.query.run()
current_date = iso8601.parse_date(data[0][0])
for row in data[1:]:
row_date = iso8601.parse_date(row[0])
self.assertEqual(current_date + relativedelta(months=1), row_date)
current_date = row_date
def test_query_add_aggregation(self):
avg_query = ESQuery(index=settings.TEST_INDEX)
avg_query.add_series(self.single_series, self.rep_mode,
self.series_periodicity, 'avg')
data = avg_query.run()
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity, 'sum')
for i, row in enumerate(data):
avg_value = data[i][1]
sum_value = row[1]
# En query común el parámetro collapse_agg NO TIENE EFECTO
self.assertEqual(avg_value, sum_value)
def test_semester_query(self):
self.query.add_series(get_series_id('semester'), self.rep_mode,
'semester')
data = self.query.run()
for row in data:
date = iso8601.parse_date(row[0])
self.assertTrue(date.month in (1, 7))
@raises(QueryError)
def test_execute_empty(self):
data = self.query.run()
self.assertFalse(data)
def test_execute_single(self):
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
data = self.query.run()
self.assertTrue(data)
def test_start_limit(self):
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
self.query.add_pagination(self.start, self.limit)
data = self.query.run()
self.assertEqual(len(data), self.limit)
def test_add_collapse(self):
"""Testea que luego de agregar un collapse default, los
resultados sean anuales, es decir cada uno a un año de
diferencia con su anterior"""
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
self.query.add_collapse(interval='year')
self.query.sort(how='asc')
data = self.query.run()
prev_timestamp = None
for row in data:
timestamp = row[0]
parsed_timestamp = iso8601.parse_date(timestamp)
if not prev_timestamp:
prev_timestamp = parsed_timestamp
continue
delta = relativedelta(parsed_timestamp, prev_timestamp)
self.assertTrue(delta.years == 1, timestamp)
prev_timestamp = parsed_timestamp
def test_collapse_custom_params(self):
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
self.query.add_collapse(interval='quarter')
self.query.sort(how='asc')
data = self.query.run()
prev_timestamp = None
for row in data:
timestamp = row[0]
parsed_timestamp = iso8601.parse_date(timestamp)
if not prev_timestamp:
prev_timestamp = parsed_timestamp
continue
delta = relativedelta(parsed_timestamp, prev_timestamp)
self.assertTrue(delta.months == 3, timestamp)
prev_timestamp = parsed_timestamp
def test_add_two_collapses(self):
"""Esperado: El segundo collapse overridea el primero"""
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
self.query.add_collapse(interval='quarter')
self.query.add_collapse(interval='year')
self.query.sort(how='asc')
data = self.query.run()
prev_timestamp = None
for row in data:
timestamp = row[0]
parsed_timestamp = iso8601.parse_date(timestamp)
if not prev_timestamp:
prev_timestamp = parsed_timestamp
continue
delta = relativedelta(parsed_timestamp, prev_timestamp)
self.assertTrue(delta.years == 1, timestamp)
prev_timestamp = parsed_timestamp
def test_sort(self):
self.query.add_series(self.delayed_series, self.rep_mode,
self.series_periodicity)
self.query.sort('desc')
data = self.query.run()
current_date = iso8601.parse_date(data[0][0])
for row in data[1:]:
row_date = iso8601.parse_date(row[0])
self.assertGreater(current_date, row_date)
current_date = row_date
def test_add_query_aggregation(self):
avg_query = ESQuery(index=settings.TEST_INDEX)
avg_query.add_series(self.single_series, self.rep_mode,
self.series_periodicity, 'avg')
data = avg_query.run()
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity, 'sum')
sum_data = self.query.run()
for i, row in enumerate(sum_data):
# Suma debe ser siempre mayor que el promedio
sum_value = row[1]
avg_value = data[i][1]
self.assertGreater(sum_value, avg_value)
def test_end_of_period(self):
query = ESQuery(index=settings.TEST_INDEX)
query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
query.add_pagination(start=0, limit=1000)
query.sort('asc')
query.add_filter(start="1970")
orig_data = query.run()
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity, 'end_of_period')
self.query.add_filter(start="1970")
self.query.add_collapse('year')
eop_data = self.query.run()
for eop_row in eop_data:
eop_value = eop_row[1]
year = iso8601.parse_date(eop_row[0]).year
for row in orig_data:
row_date = iso8601.parse_date(row[0])
if row_date.year == year and row_date.month == 12:
self.assertAlmostEqual(eop_value, row[1],
5) # EOP trae pérdida de precisión
break
def test_end_of_period_with_rep_mode(self):
self.query.add_series(self.single_series, 'percent_change',
self.series_periodicity, 'end_of_period')
self.query.add_collapse('year')
self.query.sort('asc')
data = self.query.run()
orig_eop = ESQuery(index=settings.TEST_INDEX)
orig_eop.add_series(self.single_series, self.rep_mode,
self.series_periodicity, 'end_of_period')
orig_eop.add_collapse('year')
orig_eop.sort('asc')
end_of_period = orig_eop.run()
for i, row in enumerate(data): # El primero es nulo en pct change
value = end_of_period[i + 1][1] / end_of_period[i][1] - 1
self.assertAlmostEqual(value, row[1])
def test_multiple_series_limit(self):
limit = 100
self.query.add_series(get_series_id('day'), self.rep_mode,
self.series_periodicity)
self.query.add_series(settings.TEST_SERIES_NAME_DELAYED.format('day'),
self.rep_mode, self.series_periodicity)
self.query.add_pagination(start=0, limit=limit)
self.query.sort('asc')
data = self.query.run()
self.assertEqual(len(data), limit)
def test_aggregation_on_yearly_series(self):
"""Esperado: Valores de la serie con y sin agregación son iguales, no
hay valores que colapsar"""
year_series = get_series_id('year')
self.query.add_series(year_series, self.rep_mode, 'year')
self.query.add_series(year_series, self.rep_mode, 'year',
'end_of_period')
data = self.query.run()
for row in data:
self.assertEqual(row[1], row[2])
def test_multiple_sort_desc_delayed(self):
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
self.query.add_series(self.delayed_series, self.rep_mode,
self.series_periodicity)
self.query.sort('desc')
data = self.query.run()
for row in data:
self.assertIsNotNone(row[2])
self.assertIsNone(row[1])
def test_same_series_rep_mode(self):
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
self.query.add_series(self.single_series, 'percent_change_a_year_ago',
self.series_periodicity)
data = self.query.run()
other_query = ESQuery(settings.TEST_INDEX)
other_query.add_series(self.single_series, 'percent_change_a_year_ago',
self.series_periodicity)
other_query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
other_data = other_query.run()
# Esperado: mismos resultados, invertidos en orden de fila
for i, row in enumerate(data):
other_row = other_data[i]
self.assertEqual(row[0], other_row[0])
self.assertEqual(row[1], other_row[2])
self.assertEqual(row[2], other_row[1])
def test_min_agg(self):
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
self.query.add_pagination(start=0, limit=12)
data = self.query.run()
other_query = ESQuery(settings.TEST_INDEX)
other_query.add_series(self.single_series,
self.rep_mode,
self.series_periodicity,
collapse_agg='min')
other_query.add_pagination(start=0, limit=1)
other_query.add_collapse('year')
other_data = other_query.run()
min_val = min([row[1] for row in data])
self.assertAlmostEqual(min_val, other_data[0][1], places=5)
def test_max_agg(self):
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
self.query.add_pagination(start=0, limit=12)
data = self.query.run()
other_query = ESQuery(settings.TEST_INDEX)
other_query.add_series(self.single_series,
self.rep_mode,
self.series_periodicity,
collapse_agg='max')
other_query.add_pagination(start=0, limit=1)
other_query.add_collapse('year')
other_data = other_query.run()
min_val = max([row[1] for row in data])
self.assertAlmostEqual(min_val, other_data[0][1], places=5)
def test_max_without_collapse_same_as_avg(self):
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
data = self.query.run()
other_query = ESQuery(settings.TEST_INDEX)
other_query.add_series(self.single_series,
self.rep_mode,
self.series_periodicity,
collapse_agg='max')
other_data = other_query.run()
for i, row in enumerate(data):
self.assertEqual(tuple(row), tuple(other_data[i]))
def test_min_max_collapse_agg_with_rep_mode(self):
self.query.add_series(self.single_series, 'percent_change',
self.series_periodicity)
self.query.add_pagination(start=1, limit=12)
data = self.query.run()
other_query = ESQuery(settings.TEST_INDEX)
other_query.add_series(self.single_series,
'percent_change',
self.series_periodicity,
collapse_agg='max')
other_query.add_pagination(start=0, limit=1)
other_query.add_collapse('year')
other_data = other_query.run()
min_val = max([row[1] for row in data])
self.assertAlmostEqual(min_val, other_data[0][1], places=5)
def test_rep_mode_has_no_leading_nulls(self):
self.query.add_series(self.single_series, 'percent_change',
self.series_periodicity)
data = self.query.run()
self.assertIsNotNone(data[0][1])
def test_year_rep_mode_has_no_leading_nulls(self):
self.query.add_series(self.single_series, 'percent_change_a_year_ago',
self.series_periodicity)
data = self.query.run()
self.assertIsNotNone(data[0][1])
@raises(RuntimeError)
def test_get_uninitialized_data(self):
self.query.get_results_data()
@raises(RuntimeError)
def test_get_uninitialized_count(self):
self.query.get_results_count()
def test_get_data_and_run_equivalence(self):
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
self.query.add_collapse('year')
self.query.run()
self.assertEqual(self.query.get_results_data(), self.query.run())
def test_query_count(self):
self.query.add_series(self.single_series, self.rep_mode,
self.series_periodicity)
self.query.run()
# Todas las series generadas tienen max_limit como longitud. Ver support/generate_data.py
self.assertEqual(self.query.get_results_count(), self.max_limit)