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import types
try:
import numpy as np
import pandas as pd
except ImportError:
np = None
pd = None
from tests.testcase import BaseTestCase
from tests.numpy.testcase import NumpyBaseTestCase
class GenericTestCase(NumpyBaseTestCase):
n = 10
def test_columnar(self):
rv = self.client.execute(
'SELECT number FROM numbers({})'.format(self.n), columnar=True
)
self.assertEqual(len(rv), 1)
self.assertIsInstance(rv[0], (np.ndarray, ))
def test_rowwise(self):
rv = self.client.execute(
'SELECT number FROM numbers({})'.format(self.n)
)
self.assertEqual(len(rv), self.n)
self.assertIsInstance(rv[0], (np.ndarray, ))
def test_insert_not_supported(self):
data = [np.array(range(self.n))]
with self.create_table('a Int32'):
with self.assertRaises(ValueError) as e:
self.client.execute(
'INSERT INTO test (a) VALUES', data
)
self.assertEqual(
'NumPy inserts is only allowed with columnar=True',
str(e.exception)
)
def test_with_column_types(self):
rv = self.client.execute(
'SELECT CAST(2 AS Int32) AS x', with_column_types=True
)
self.assertEqual(rv, ([(2, )], [('x', 'Int32')]))
class NumpyProgressTestCase(NumpyBaseTestCase):
def test_select_with_progress(self):
progress = self.client.execute_with_progress('SELECT 2')
self.assertEqual(
list(progress),
[(1, 0), (1, 0)] if self.server_version > (20,) else [(1, 0)]
)
self.assertEqual(progress.get_result(), [(2,)])
self.assertTrue(self.client.connection.connected)
def test_select_with_progress_no_progress_obtaining(self):
progress = self.client.execute_with_progress('SELECT 2')
self.assertEqual(progress.get_result(), [(2,)])
class NumpyIteratorTestCase(NumpyBaseTestCase):
def test_select_with_iter(self):
result = self.client.execute_iter(
'SELECT number FROM system.numbers LIMIT 10'
)
self.assertIsInstance(result, types.GeneratorType)
self.assertEqual(list(result), list(zip(range(10))))
self.assertEqual(list(result), [])
def test_select_with_iter_with_column_types(self):
result = self.client.execute_iter(
'SELECT CAST(number AS UInt32) as number '
'FROM system.numbers LIMIT 10',
with_column_types=True
)
self.assertIsInstance(result, types.GeneratorType)
self.assertEqual(
list(result),
[[('number', 'UInt32')]] + list(zip(range(10)))
)
self.assertEqual(list(result), [])
class DataFrameTestCase(NumpyBaseTestCase):
def test_query_simple(self):
df = self.client.query_dataframe(
'SELECT CAST(number AS Int64) AS x FROM system.numbers LIMIT 100'
)
self.assertTrue(df.equals(pd.DataFrame({'x': range(100)})))
def test_query_replace_whitespace_in_column_names(self):
df = self.client.query_dataframe(
'SELECT number AS "test me" FROM system.numbers LIMIT 100'
)
self.assertIn('test_me', df)
def test_insert_simple(self):
n = 10
df = pd.DataFrame({
'a': range(n),
'b': [float(x) for x in range(n)]
})
with self.create_table('a Int64, b Float64'):
rv = self.client.insert_dataframe('INSERT INTO test VALUES', df)
self.assertEqual(rv, n)
df2 = self.client.query_dataframe('SELECT * FROM test ORDER BY a')
self.assertTrue(df.equals(df2))
def test_insert_chunking(self):
with self.create_table('a Int64'):
rv = self.client.execute(
'INSERT INTO test VALUES', [np.array(range(3))], columnar=True,
settings={'insert_block_size': 1}
)
self.assertEqual(rv, 3)
def test_insert_not_ordered_columns(self):
n = 10
df = pd.DataFrame({
'b': range(n),
'a': [str(x) for x in range(n)]
})[['b', 'a']]
with self.create_table('a String, b Float64'):
rv = self.client.insert_dataframe(
'INSERT INTO test (a, b) VALUES', df
)
self.assertEqual(rv, n)
def test_empty_frame_shape(self):
df = self.client.query_dataframe(
'SELECT number AS a, number AS a FROM system.numbers LIMIT 0'
)
self.assertEqual(df.shape, (0, 2))
def test_data_less_columns_than_expected(self):
with self.create_table('a Int8, b Int8'):
with self.assertRaises(ValueError) as e:
df = pd.DataFrame([1, 2, 3], columns=['a'])
self.client.insert_dataframe('INSERT INTO test VALUES', df)
expected = "DataFrame missing required columns: ['b']"
self.assertEqual(str(e.exception), expected)
def test_data_different_columns_than_expected(self):
with self.create_table('a Int8, b Int8'):
with self.assertRaises(ValueError) as e:
df = pd.DataFrame([[1, 2], [3, 4]], columns=['a', 'c'])
self.client.insert_dataframe('INSERT INTO test VALUES', df)
expected = "DataFrame missing required columns: ['b']"
self.assertEqual(str(e.exception), expected)
class NoNumPyTestCase(BaseTestCase):
def setUp(self):
super(NoNumPyTestCase, self).setUp()
try:
import numpy # noqa: F401
import pandas # noqa: F401
except Exception:
pass
else:
self.skipTest('NumPy extras are installed')
def test_runtime_error_without_numpy(self):
with self.assertRaises(RuntimeError) as e:
with self.created_client(settings={'use_numpy': True}) as client:
client.execute('SELECT 1')
self.assertEqual(
'Extras for NumPy must be installed', str(e.exception)
)
def test_query_dataframe(self):
with self.assertRaises(RuntimeError) as e:
with self.created_client(settings={'use_numpy': True}) as client:
client.query_dataframe('SELECT 1 AS x')
self.assertEqual(
'Extras for NumPy must be installed', str(e.exception)
)
|
