mirror of
https://github.com/apache/superset.git
synced 2026-04-09 03:16:07 +00:00
e1f4db8e24
* Add function to fix dataframe column case * Fix broken handle_nulls method * Add case sensitivity option to dedup * Refactor function definition and call location * Remove added blank line * Move df column rename logit to db_engine_spec * Remove redundant variable * Update comments in db_engine_specs * Tie df adjustment to db_engine_spec class attribute * Fix dedup error * Linting * Check for db_engine_spec attribute prior to adjustment * Rename case sensitivity flag * Linting * Remove function that was moved to db_engine_specs * Get metrics names from utils * Remove double import and rename dedup variable
132 lines
3.7 KiB
Python
132 lines
3.7 KiB
Python
# -*- coding: utf-8 -*-
|
|
from __future__ import absolute_import
|
|
from __future__ import division
|
|
from __future__ import print_function
|
|
from __future__ import unicode_literals
|
|
|
|
from superset.dataframe import dedup, SupersetDataFrame
|
|
from superset.db_engine_specs import BaseEngineSpec
|
|
from .base_tests import SupersetTestCase
|
|
|
|
|
|
class SupersetDataFrameTestCase(SupersetTestCase):
|
|
def test_dedup(self):
|
|
self.assertEquals(
|
|
dedup(['foo', 'bar']),
|
|
['foo', 'bar'],
|
|
)
|
|
self.assertEquals(
|
|
dedup(['foo', 'bar', 'foo', 'bar', 'Foo']),
|
|
['foo', 'bar', 'foo__1', 'bar__1', 'Foo'],
|
|
)
|
|
self.assertEquals(
|
|
dedup(['foo', 'bar', 'bar', 'bar', 'Bar']),
|
|
['foo', 'bar', 'bar__1', 'bar__2', 'Bar'],
|
|
)
|
|
self.assertEquals(
|
|
dedup(['foo', 'bar', 'bar', 'bar', 'Bar'], case_sensitive=False),
|
|
['foo', 'bar', 'bar__1', 'bar__2', 'Bar__3'],
|
|
)
|
|
|
|
def test_get_columns_basic(self):
|
|
data = [
|
|
('a1', 'b1', 'c1'),
|
|
('a2', 'b2', 'c2'),
|
|
]
|
|
cursor_descr = (
|
|
('a', 'string'),
|
|
('b', 'string'),
|
|
('c', 'string'),
|
|
)
|
|
cdf = SupersetDataFrame(data, cursor_descr, BaseEngineSpec)
|
|
self.assertEqual(
|
|
cdf.columns,
|
|
[
|
|
{
|
|
'is_date': False,
|
|
'type': 'STRING',
|
|
'name': 'a',
|
|
'is_dim': True,
|
|
}, {
|
|
'is_date': False,
|
|
'type': 'STRING',
|
|
'name': 'b',
|
|
'is_dim': True,
|
|
}, {
|
|
'is_date': False,
|
|
'type': 'STRING',
|
|
'name': 'c',
|
|
'is_dim': True,
|
|
},
|
|
],
|
|
)
|
|
|
|
def test_get_columns_with_int(self):
|
|
data = [
|
|
('a1', 1),
|
|
('a2', 2),
|
|
]
|
|
cursor_descr = (
|
|
('a', 'string'),
|
|
('b', 'int'),
|
|
)
|
|
cdf = SupersetDataFrame(data, cursor_descr, BaseEngineSpec)
|
|
self.assertEqual(
|
|
cdf.columns,
|
|
[
|
|
{
|
|
'is_date': False,
|
|
'type': 'STRING',
|
|
'name': 'a',
|
|
'is_dim': True,
|
|
}, {
|
|
'is_date': False,
|
|
'type': 'INT',
|
|
'name': 'b',
|
|
'is_dim': False,
|
|
'agg': 'sum',
|
|
},
|
|
],
|
|
)
|
|
|
|
def test_get_columns_type_inference(self):
|
|
data = [
|
|
(1.2, 1),
|
|
(3.14, 2),
|
|
]
|
|
cursor_descr = (
|
|
('a', None),
|
|
('b', None),
|
|
)
|
|
cdf = SupersetDataFrame(data, cursor_descr, BaseEngineSpec)
|
|
self.assertEqual(
|
|
cdf.columns,
|
|
[
|
|
{
|
|
'is_date': False,
|
|
'type': 'FLOAT',
|
|
'name': 'a',
|
|
'is_dim': False,
|
|
'agg': 'sum',
|
|
}, {
|
|
'is_date': False,
|
|
'type': 'INT',
|
|
'name': 'b',
|
|
'is_dim': False,
|
|
'agg': 'sum',
|
|
},
|
|
],
|
|
)
|
|
|
|
def test_dedup_with_data(self):
|
|
data = [
|
|
('a', 1),
|
|
('a', 2),
|
|
]
|
|
cursor_descr = (
|
|
('a', 'string'),
|
|
('a', 'string'),
|
|
)
|
|
cdf = SupersetDataFrame(data, cursor_descr, BaseEngineSpec)
|
|
self.assertListEqual(cdf.column_names, ['a', 'a__1'])
|