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_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)
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)
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)