mirror of
https://github.com/getredash/redash.git
synced 2026-03-23 13:00:10 -04:00
0b6f1fc21b
* Added support for Apache Drill datasource * Improvements in `Drill` query runner and minor refactoring 1. Drill query runner now inherits from `BaseHTTPQueryRunner`, because they both have a lot of common code. 2. `BaseHTTPQueryRunner.get_response` method now accepts `http_method` argument (original implementation was only capable of sending `GET` HTTP requests). 3. Added `order` to `BaseHTTPRequestRunner` configuration schema to fix order of UI elements based on the schema. 4. Eliminated duplicate method `_guess_type` in `GoogleSpreadsheet`, `Results` and `Drill` query runners, moved `guess_type` to `redash.query_runner`. 5. Removed tests for `_guess_type` in `GoogleSpreadsheet`, `Results` and `Drill` query runners, merged them into single test case and moved to `tests.query_runner.test_utils`. 6. Various minor changes (code style, imports, etc).
92 lines
3.4 KiB
Python
92 lines
3.4 KiB
Python
# -*- coding: utf-8 -*-
|
|
import datetime
|
|
from unittest import TestCase
|
|
|
|
from redash.query_runner import TYPE_DATETIME, TYPE_FLOAT, TYPE_INTEGER, TYPE_BOOLEAN, TYPE_STRING
|
|
from redash.query_runner.drill import convert_type, parse_response
|
|
|
|
|
|
class TestConvertType(TestCase):
|
|
def test_converts_booleans(self):
|
|
self.assertEqual(convert_type('true', TYPE_BOOLEAN), True)
|
|
self.assertEqual(convert_type('True', TYPE_BOOLEAN), True)
|
|
self.assertEqual(convert_type('TRUE', TYPE_BOOLEAN), True)
|
|
self.assertEqual(convert_type('false', TYPE_BOOLEAN), False)
|
|
self.assertEqual(convert_type('False', TYPE_BOOLEAN), False)
|
|
self.assertEqual(convert_type('FALSE', TYPE_BOOLEAN), False)
|
|
|
|
def test_converts_strings(self):
|
|
self.assertEqual(convert_type(u'Текст', TYPE_STRING), u'Текст')
|
|
self.assertEqual(convert_type(None, TYPE_STRING), '')
|
|
self.assertEqual(convert_type('', TYPE_STRING), '')
|
|
self.assertEqual(convert_type('redash', TYPE_STRING), 'redash')
|
|
|
|
def test_converts_integer(self):
|
|
self.assertEqual(convert_type('42', TYPE_INTEGER), 42)
|
|
|
|
def test_converts_float(self):
|
|
self.assertAlmostEqual(convert_type('3.14', TYPE_FLOAT), 3.14, 2)
|
|
|
|
def test_converts_date(self):
|
|
self.assertEqual(convert_type('2018-10-31', TYPE_DATETIME), datetime.datetime(2018, 10, 31, 0, 0))
|
|
|
|
empty_response = {
|
|
'columns': [],
|
|
'rows': [{}]
|
|
}
|
|
|
|
regular_response = {
|
|
'columns': ['key', 'date', 'count', 'avg'],
|
|
'rows': [
|
|
{'key': 'Alpha', 'date': '2018-01-01', 'count': '10', 'avg': '3.14'},
|
|
{'key': 'Beta', 'date': '2018-02-01', 'count': '20', 'avg': '6.28'}
|
|
]
|
|
}
|
|
|
|
class TestParseResponse(TestCase):
|
|
def test_parse_empty_reponse(self):
|
|
parsed = parse_response(empty_response)
|
|
|
|
self.assertIsInstance(parsed, dict)
|
|
self.assertIsNotNone(parsed['columns'])
|
|
self.assertIsNotNone(parsed['rows'])
|
|
self.assertEqual(len(parsed['columns']), 0)
|
|
self.assertEqual(len(parsed['rows']), 0)
|
|
|
|
def test_parse_regular_response(self):
|
|
parsed = parse_response(regular_response)
|
|
|
|
self.assertIsInstance(parsed, dict)
|
|
self.assertIsNotNone(parsed['columns'])
|
|
self.assertIsNotNone(parsed['rows'])
|
|
self.assertEqual(len(parsed['columns']), 4)
|
|
self.assertEqual(len(parsed['rows']), 2)
|
|
|
|
key_col = parsed['columns'][0]
|
|
self.assertEqual(key_col['name'], 'key')
|
|
self.assertEqual(key_col['type'], TYPE_STRING)
|
|
|
|
date_col = parsed['columns'][1]
|
|
self.assertEqual(date_col['name'], 'date')
|
|
self.assertEqual(date_col['type'], TYPE_DATETIME)
|
|
|
|
count_col = parsed['columns'][2]
|
|
self.assertEqual(count_col['name'], 'count')
|
|
self.assertEqual(count_col['type'], TYPE_INTEGER)
|
|
|
|
avg_col = parsed['columns'][3]
|
|
self.assertEqual(avg_col['name'], 'avg')
|
|
self.assertEqual(avg_col['type'], TYPE_FLOAT)
|
|
|
|
row_0 = parsed['rows'][0]
|
|
self.assertEqual(row_0['key'], 'Alpha')
|
|
self.assertEqual(row_0['date'], datetime.datetime(2018, 1, 1, 0, 0))
|
|
self.assertEqual(row_0['count'], 10)
|
|
self.assertAlmostEqual(row_0['avg'], 3.14, 2)
|
|
|
|
row_1 = parsed['rows'][1]
|
|
self.assertEqual(row_1['key'], 'Beta')
|
|
self.assertEqual(row_1['date'], datetime.datetime(2018, 2, 1, 0, 0))
|
|
self.assertEqual(row_1['count'], 20)
|
|
self.assertAlmostEqual(row_1['avg'], 6.28, 2)
|