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# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
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# isort:skip_file
import numpy as np
import pandas as pd
import tests.test_app
from superset.dataframe import df_to_records
from superset.db_engine_specs import BaseEngineSpec
from superset.result_set import SupersetResultSet
from .base_tests import SupersetTestCase
class TestSupersetDataFrame(SupersetTestCase):
def test_df_to_records(self):
data = [("a1", "b1", "c1"), ("a2", "b2", "c2")]
cursor_descr = (("a", "string"), ("b", "string"), ("c", "string"))
results = SupersetResultSet(data, cursor_descr, BaseEngineSpec)
df = results.to_pandas_df()
self.assertEqual(
df_to_records(df),
[{"a": "a1", "b": "b1", "c": "c1"}, {"a": "a2", "b": "b2", "c": "c2"}],
)
def test_js_max_int(self):
data = [(1, 1239162456494753670, "c1"), (2, 100, "c2")]
cursor_descr = (("a", "int"), ("b", "int"), ("c", "string"))
results = SupersetResultSet(data, cursor_descr, BaseEngineSpec)
df = results.to_pandas_df()
self.assertEqual(
df_to_records(df),
[
{"a": 1, "b": "1239162456494753670", "c": "c1"},
{"a": 2, "b": 100, "c": "c2"},
],
)