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test_query.py
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test_query.py
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from __future__ import absolute_import
from solvebio.query import Filter
from solvebio import SolveError
from .helper import SolveBioTestCase
from six.moves import map
from six.moves import range
class BaseQueryTest(SolveBioTestCase):
"""Test Paging Queries"""
def setUp(self):
super(BaseQueryTest, self).setUp()
self.dataset = self.client.Object.get_by_full_path(
self.TEST_DATASET_FULL_PATH)
def test_basic(self):
results = self.dataset.query().filter(
omim_id__in=['OMIM:123631',
'OMIM:123670',
'OMIM:123690',
'OMIM:306250'])
self.assertEqual(results.total, 4)
self.assertEqual(len(results), results.total)
# Test that iteration returns the correct number of results.
# Test iterating through result-sets that are smaller than
# the page size.
self.assertEqual(len(results), len([r for r in results]))
def test_basic_with_limit(self):
limit = 10
results = self.dataset.query(limit=limit)
self.assertEqual(len(results), limit)
self.assertRaises(IndexError, lambda: results[results.total + 1])
# test that iteration returns the correct number of results.
self.assertEqual(len([r for r in results]), limit)
def test_count(self):
q = self.dataset.query()
total = q.count()
self.assertGreater(total, 0)
# with a filter
q = self.dataset.query().filter(omim_id='OMIM:123631')
self.assertEqual(q.count(), 1)
# with a bogus filter
q = self.dataset.query().filter(omim_id='OMIM:99999')
self.assertEqual(q.count(), 0)
def test_count_with_limit(self):
q = self.dataset.query()
total = q.count()
self.assertGreater(total, 0)
for limit in [0, 10, 1000]:
# with a filter
q = self.dataset.query(limit=limit).filter(omim_id='OMIM:123631')
self.assertEqual(q.count(), 1)
# with a bogus filter
q = self.dataset.query(limit=limit).filter(omim_id='OMIM:99999')
self.assertEqual(q.count(), 0)
def test_len(self):
q = self.dataset.query()
total = q.count()
self.assertGreater(total, 0)
self.assertEqual(len(q), total)
# with a filter
q = self.dataset.query().filter(omim_id='OMIM:123631')
self.assertEqual(len(q), 1)
# with a bogus filter
q = self.dataset.query().filter(omim_id='OMIM:999999')
self.assertEqual(len(q), 0)
def test_len_with_limit(self):
q = self.dataset.query()
total = q.count()
self.assertGreater(total, 0)
self.assertEqual(len(q), total)
for limit in [0, 10, 1000]:
# with a filter
q = self.dataset.query(limit=limit).filter(omim_id='OMIM:123631')
self.assertEqual(len(q), 1 if limit > 0 else 0)
# with a bogus filter
q = self.dataset.query(limit=limit).filter(omim_id='OMIM:999999')
self.assertEqual(len(q), 0)
def test_empty(self):
"""
test Query when limit is specified and is GREATER THAN total available
results.
"""
# bogus filter
results = self.dataset.query().filter(omim_id='OMIM:99999')
self.assertEqual(len(results), 0)
self.assertEqual(results[:]._buffer, [])
self.assertRaises(IndexError, lambda: results[0])
def test_empty_with_limit(self):
"""
test Query when limit is specified and is GREATER THAN total available
results.
"""
limit = 100
# bogus filter
results = self.dataset.query(limit=limit) \
.filter(omim_id='OMIM:99999')
self.assertEqual(len(results), 0)
self.assertEqual(results[:]._buffer, [])
self.assertRaises(IndexError, lambda: results[0])
def test_filter(self):
"""
test Filtered Query in which limit is specified but is GREATER THAN
the number of total available results
"""
num_filters = 4
filters = \
Filter(omim_id='OMIM:123631') | \
Filter(omim_id='OMIM:123670') | \
Filter(omim_id='OMIM:123690') | \
Filter(omim_id='OMIM:306250')
results = self.dataset.query(filters=filters)
self.assertEqual(len(results), num_filters)
self.assertRaises(IndexError, lambda: results[num_filters])
def test_filter_with_limit(self):
"""
test Filtered Query in which limit is specified but is GREATER THAN
the number of total available results
"""
limit = 10
num_filters = 4
filters = \
Filter(omim_id='OMIM:123631') | \
Filter(omim_id='OMIM:123670') | \
Filter(omim_id='OMIM:123690') | \
Filter(omim_id='OMIM:306250')
results = self.dataset.query(
limit=limit, filters=filters)
self.assertEqual(len(results), num_filters)
self.assertRaises(IndexError, lambda: results[num_filters])
def test_paging(self):
page_size = 10
num_pages = 3
results = self.dataset.query(page_size=page_size)
_results = []
for (i, r) in enumerate(results):
# fetch three pages and break
if i / page_size == num_pages:
break
_results.append(r)
self.assertEqual(len(_results), num_pages * page_size)
self.assertEqual(
len(set(map(str, _results))),
num_pages * page_size
)
def test_paging_with_limit(self):
page_size = 10
num_pages = 3
limit = num_pages * page_size - 1
results = self.dataset.query(limit=limit, page_size=page_size)
_results = []
for (i, r) in enumerate(results):
_results.append(r)
self.assertEqual(len(_results), limit)
self.assertEqual(
len(set(map(str, _results))),
limit
)
def test_slice_ranges(self):
limit = 50
results = self.dataset.query(limit=limit)
self.assertEqual(len(results[0:limit]), limit)
results = self.dataset.query(limit=limit)
self.assertEqual(len(results[:limit]), limit)
results = self.dataset.query(limit=limit)
self.assertEqual(len(results[limit:]), limit)
r0 = self.dataset.query(limit=limit)[0:limit][limit - 1]
r1 = self.dataset.query(limit=limit)[limit - 1:][0]
self.assertEqual(r0['entrez_id'], r1['entrez_id'])
def test_slice_ranges_with_paging(self):
limit = 50
page_size = 10
results = self.dataset.query(limit=limit, page_size=page_size)
self.assertEqual(len(results[0:limit]), limit)
results = self.dataset.query(limit=limit, page_size=page_size)
self.assertEqual(len(results[:limit]), limit)
results = self.dataset.query(limit=limit, page_size=page_size)
self.assertEqual(len(results[limit:]), limit)
r0 = self.dataset.query(limit=limit)[0:limit][limit - 1]
r1 = self.dataset.query(limit=limit)[limit - 1:][0]
self.assertEqual(r0['entrez_id'], r1['entrez_id'])
def test_slice_offsets(self):
zero_two = self.dataset.query()[0:2]
one_three = self.dataset.query()[1:3]
# Ensure that the repr for [0:1] != [1:2]
self.assertNotEqual(repr(zero_two), repr(one_three))
# Ensure that the second repr for [0:2] == [1:3]
self.assertEqual(repr(zero_two[1]), repr(one_three[0]))
def test_slice_ranges_with_small_limit(self):
# Test slices larger than 'limit'
# query returns 6
limit = 1
results = self.dataset.query(limit=limit) \
.filter(mamit_trnadb__range=(2, 12))[0:4]
self.assertEqual(len(results), limit)
def test_paging_and_slice_equivalence(self):
idx0 = 3
idx1 = 5
def _query():
return self.dataset.query(limit=10) \
.filter(mamit_trnadb__range=(2, 12))
results_slice = _query()[idx0:idx1]
results_paging = []
for (i, r) in enumerate(_query()):
if i == idx1:
break
elif i >= idx0:
results_paging.append(r)
self.assertEqual(len(results_paging), len(results_slice))
for i in range(0, len(results_slice)):
id_a = results_paging[i]['entrez_id']
id_b = results_slice[i]['entrez_id']
self.assertEqual(id_a, id_b)
def test_caching(self):
idx0 = 60
idx1 = 81
q = self.dataset.query(limit=100)
results_slice = q[idx0:idx1]
results_cached = q[idx0:idx1]
self.assertEqual(len(results_slice), len(results_cached))
for i in range(0, len(results_slice)):
id_a = results_slice[i]['status']
id_b = results_cached[i]['status']
self.assertEqual(id_a, id_b)
def test_get_by_index(self):
limit = 100
page_size = 10
idxs = [0, 1, 10, 20, 50, 99]
q = self.dataset.query(limit=limit, page_size=page_size)
cached = []
for idx in idxs:
cached.append(q[idx])
# forwards
for (i, idx) in enumerate(idxs):
self.assertEqual(cached[i], q[idx])
# backwards
for (i, idx) in reversed(list(enumerate(idxs))):
self.assertEqual(cached[i], q[idx])
def test_field_filters(self):
limit = 1
results = self.dataset.query(limit=limit)
self.assertEqual(len(results[0].keys()), 54)
results = self.dataset.query(limit=limit, fields=['entrez_id'])
self.assertEqual(len(results[0].keys()), 1)
results = self.dataset.query(
limit=limit, exclude_fields=['entrez_id'])
self.assertEqual(len(results[0].keys()), 53)
self.assertTrue('entrez_id' not in results[0].keys())
def test_entity_filters(self):
entities = [('gene', 'BRCA2')]
query = self.dataset.query(entities=entities)
self.assertEqual(query.count(), 1)
def test_target_fields(self):
# Invalid fields
try:
query = self.dataset.query(target_fields=[1])
except SolveError as e:
assert "{u'target_fields': [u'Invalid data']}" in e
pass
entities = [('gene', 'BRCA2')]
query = self.dataset.query(
entities=entities,
target_fields=[dict(name='user', expression='user()["email"]')],
limit=1)
self.assertEqual(query.count(), 1)
for record in query:
assert "@solvebio.com" in record['user']
def test_join(self):
query_a = self.dataset.query(fields=['symbol']).filter(symbol='A1BG')
query_b = self.dataset.query(fields=['symbol', 'entrez_id'])
join_query = query_a.join(query_b, key='symbol')
expect = [{'b_symbol': 'A1BG', 'symbol': 'A1BG', 'b_entrez_id': '1.0'}]
self.assertEqual(list(join_query), expect)
def test_join_custom_prefix(self):
query_a = self.dataset.query(fields=['symbol']).filter(symbol='A1BG')
query_b = self.dataset.query(fields=['symbol', 'entrez_id'])
join_query = query_a.join(query_b, key='symbol', prefix='query_b_')
expect = [{'query_b_symbol': 'A1BG', 'symbol': 'A1BG', 'query_b_entrez_id': '1.0'}]
self.assertEqual(list(join_query), expect)
def test_join_disable_always_prefix(self):
query_a = self.dataset.query(fields=['symbol']).filter(symbol='A1BG')
query_b = self.dataset.query(fields=['entrez_id'])
join_query = query_a.join(query_b, key='symbol', always_prefix=False)
expect = [{'symbol': 'A1BG', 'entrez_id': '1.0'}]
self.assertEqual(list(join_query), expect)