refactor(tests): decouple unittests from integration tests (#15473)

* refactor move all tests to be under integration_tests package

* refactor decouple unittests from integration tests - commands

* add unit_tests package

* fix celery_tests.py

* fix wrong FIXTURES_DIR value

tests/integration_tests/dataframe_test.py

@@ -0,0 +1,53 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# 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,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+# isort:skip_file
+import numpy as np
+import pandas as pd
+
+import tests.integration_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"},
+            ],
+        )