mirror of https://github.com/apache/superset.git
1148 lines
42 KiB
Python
1148 lines
42 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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# isort:skip_file
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import unittest
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import uuid
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from datetime import date, datetime, time, timedelta
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from decimal import Decimal
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import json
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import os
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import re
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from typing import Any, Tuple, List, Optional
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from unittest.mock import Mock, patch
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from tests.integration_tests.fixtures.birth_names_dashboard import (
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load_birth_names_dashboard_with_slices,
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)
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import numpy as np
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import pandas as pd
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import pytest
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from flask import Flask, g
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import marshmallow
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from sqlalchemy.exc import ArgumentError
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import tests.integration_tests.test_app
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from superset import app, db, security_manager
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from superset.exceptions import CertificateException, SupersetException
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from superset.models.core import Database, Log
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from superset.models.dashboard import Dashboard
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from superset.models.slice import Slice
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from superset.utils.core import (
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base_json_conv,
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cast_to_num,
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convert_legacy_filters_into_adhoc,
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create_ssl_cert_file,
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DTTM_ALIAS,
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format_timedelta,
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GenericDataType,
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get_form_data_token,
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get_iterable,
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get_email_address_list,
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get_or_create_db,
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get_stacktrace,
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json_int_dttm_ser,
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json_iso_dttm_ser,
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JSONEncodedDict,
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merge_extra_filters,
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merge_extra_form_data,
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merge_request_params,
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normalize_dttm_col,
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parse_ssl_cert,
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parse_js_uri_path_item,
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extract_dataframe_dtypes,
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split,
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TimeRangeEndpoint,
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validate_json,
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zlib_compress,
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zlib_decompress,
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)
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from superset.utils import schema
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from superset.utils.hashing import md5_sha_from_str
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from superset.views.utils import (
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build_extra_filters,
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get_form_data,
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get_time_range_endpoints,
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)
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from tests.integration_tests.base_tests import SupersetTestCase
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from tests.integration_tests.fixtures.world_bank_dashboard import (
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load_world_bank_dashboard_with_slices,
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)
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from .fixtures.certificates import ssl_certificate
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class TestUtils(SupersetTestCase):
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def test_json_int_dttm_ser(self):
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dttm = datetime(2020, 1, 1)
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ts = 1577836800000.0
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assert json_int_dttm_ser(dttm) == ts
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assert json_int_dttm_ser(date(2020, 1, 1)) == ts
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assert json_int_dttm_ser(datetime(1970, 1, 1)) == 0
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assert json_int_dttm_ser(date(1970, 1, 1)) == 0
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assert json_int_dttm_ser(dttm + timedelta(milliseconds=1)) == (ts + 1)
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with self.assertRaises(TypeError):
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json_int_dttm_ser("this is not a date")
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def test_json_iso_dttm_ser(self):
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dttm = datetime(2020, 1, 1)
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dt = date(2020, 1, 1)
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t = time()
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assert json_iso_dttm_ser(dttm) == dttm.isoformat()
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assert json_iso_dttm_ser(dt) == dt.isoformat()
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assert json_iso_dttm_ser(t) == t.isoformat()
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with self.assertRaises(TypeError):
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json_iso_dttm_ser("this is not a date")
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def test_base_json_conv(self):
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assert isinstance(base_json_conv(np.bool_(1)), bool) is True
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assert isinstance(base_json_conv(np.int64(1)), int) is True
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assert isinstance(base_json_conv(np.array([1, 2, 3])), list) is True
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assert isinstance(base_json_conv(set([1])), list) is True
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assert isinstance(base_json_conv(Decimal("1.0")), float) is True
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assert isinstance(base_json_conv(uuid.uuid4()), str) is True
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assert isinstance(base_json_conv(timedelta(0)), str) is True
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def test_zlib_compression(self):
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json_str = '{"test": 1}'
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blob = zlib_compress(json_str)
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got_str = zlib_decompress(blob)
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self.assertEqual(json_str, got_str)
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def test_merge_extra_filters(self):
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# does nothing if no extra filters
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form_data = {"A": 1, "B": 2, "c": "test"}
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expected = {**form_data, "adhoc_filters": [], "applied_time_extras": {}}
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merge_extra_filters(form_data)
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self.assertEqual(form_data, expected)
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# empty extra_filters
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form_data = {"A": 1, "B": 2, "c": "test", "extra_filters": []}
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expected = {
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"A": 1,
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"B": 2,
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"c": "test",
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"adhoc_filters": [],
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"applied_time_extras": {},
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}
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merge_extra_filters(form_data)
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self.assertEqual(form_data, expected)
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# copy over extra filters into empty filters
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form_data = {
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"extra_filters": [
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{"col": "a", "op": "in", "val": "someval"},
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{"col": "B", "op": "==", "val": ["c1", "c2"]},
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]
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}
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expected = {
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"adhoc_filters": [
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{
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"clause": "WHERE",
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"comparator": "someval",
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"expressionType": "SIMPLE",
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"filterOptionName": "90cfb3c34852eb3bc741b0cc20053b46",
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"isExtra": True,
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"operator": "in",
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"subject": "a",
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},
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{
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"clause": "WHERE",
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"comparator": ["c1", "c2"],
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"expressionType": "SIMPLE",
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"filterOptionName": "6c178d069965f1c02640661280415d96",
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"isExtra": True,
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"operator": "==",
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"subject": "B",
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},
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],
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"applied_time_extras": {},
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}
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merge_extra_filters(form_data)
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self.assertEqual(form_data, expected)
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# adds extra filters to existing filters
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form_data = {
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"extra_filters": [
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{"col": "a", "op": "in", "val": "someval"},
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{"col": "B", "op": "==", "val": ["c1", "c2"]},
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],
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"adhoc_filters": [
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{
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"clause": "WHERE",
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"comparator": ["G1", "g2"],
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"expressionType": "SIMPLE",
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"operator": "!=",
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"subject": "D",
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}
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],
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}
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expected = {
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"adhoc_filters": [
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{
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"clause": "WHERE",
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"comparator": ["G1", "g2"],
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"expressionType": "SIMPLE",
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"operator": "!=",
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"subject": "D",
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},
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{
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"clause": "WHERE",
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"comparator": "someval",
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"expressionType": "SIMPLE",
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"filterOptionName": "90cfb3c34852eb3bc741b0cc20053b46",
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"isExtra": True,
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"operator": "in",
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"subject": "a",
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},
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{
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"clause": "WHERE",
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"comparator": ["c1", "c2"],
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"expressionType": "SIMPLE",
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"filterOptionName": "6c178d069965f1c02640661280415d96",
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"isExtra": True,
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"operator": "==",
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"subject": "B",
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},
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],
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"applied_time_extras": {},
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}
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merge_extra_filters(form_data)
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self.assertEqual(form_data, expected)
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# adds extra filters to existing filters and sets time options
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form_data = {
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"extra_filters": [
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{"col": "__time_range", "op": "in", "val": "1 year ago :"},
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{"col": "__time_col", "op": "in", "val": "birth_year"},
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{"col": "__time_grain", "op": "in", "val": "years"},
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{"col": "A", "op": "like", "val": "hello"},
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{"col": "__time_origin", "op": "in", "val": "now"},
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{"col": "__granularity", "op": "in", "val": "90 seconds"},
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]
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}
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expected = {
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"adhoc_filters": [
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{
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"clause": "WHERE",
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"comparator": "hello",
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"expressionType": "SIMPLE",
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"filterOptionName": "e3cbdd92a2ae23ca92c6d7fca42e36a6",
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"isExtra": True,
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"operator": "like",
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"subject": "A",
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}
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],
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"time_range": "1 year ago :",
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"granularity_sqla": "birth_year",
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"time_grain_sqla": "years",
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"granularity": "90 seconds",
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"druid_time_origin": "now",
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"applied_time_extras": {
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"__time_range": "1 year ago :",
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"__time_col": "birth_year",
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"__time_grain": "years",
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"__time_origin": "now",
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"__granularity": "90 seconds",
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},
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}
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merge_extra_filters(form_data)
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self.assertEqual(form_data, expected)
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def test_merge_extra_filters_ignores_empty_filters(self):
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form_data = {
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"extra_filters": [
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{"col": "a", "op": "in", "val": ""},
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{"col": "B", "op": "==", "val": []},
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]
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}
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expected = {"adhoc_filters": [], "applied_time_extras": {}}
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merge_extra_filters(form_data)
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self.assertEqual(form_data, expected)
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def test_merge_extra_filters_ignores_nones(self):
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form_data = {
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"adhoc_filters": [
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{
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"clause": "WHERE",
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"comparator": "",
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"expressionType": "SIMPLE",
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"operator": "in",
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"subject": None,
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}
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],
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"extra_filters": [{"col": "B", "op": "==", "val": []}],
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}
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expected = {
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"adhoc_filters": [
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{
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"clause": "WHERE",
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"comparator": "",
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"expressionType": "SIMPLE",
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"operator": "in",
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"subject": None,
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}
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],
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"applied_time_extras": {},
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}
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merge_extra_filters(form_data)
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self.assertEqual(form_data, expected)
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def test_merge_extra_filters_ignores_equal_filters(self):
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form_data = {
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"extra_filters": [
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{"col": "a", "op": "in", "val": "someval"},
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{"col": "B", "op": "==", "val": ["c1", "c2"]},
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{"col": "c", "op": "in", "val": ["c1", 1, None]},
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],
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"adhoc_filters": [
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{
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"clause": "WHERE",
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"comparator": "someval",
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"expressionType": "SIMPLE",
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"operator": "in",
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"subject": "a",
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},
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{
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"clause": "WHERE",
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"comparator": ["c1", "c2"],
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"expressionType": "SIMPLE",
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"operator": "==",
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"subject": "B",
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},
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{
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"clause": "WHERE",
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"comparator": ["c1", 1, None],
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"expressionType": "SIMPLE",
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"operator": "in",
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"subject": "c",
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},
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],
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}
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expected = {
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"adhoc_filters": [
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{
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"clause": "WHERE",
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"comparator": "someval",
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"expressionType": "SIMPLE",
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"operator": "in",
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"subject": "a",
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},
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{
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"clause": "WHERE",
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"comparator": ["c1", "c2"],
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"expressionType": "SIMPLE",
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"operator": "==",
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"subject": "B",
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},
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{
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"clause": "WHERE",
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"comparator": ["c1", 1, None],
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"expressionType": "SIMPLE",
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"operator": "in",
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"subject": "c",
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},
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],
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"applied_time_extras": {},
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}
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merge_extra_filters(form_data)
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self.assertEqual(form_data, expected)
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def test_merge_extra_filters_merges_different_val_types(self):
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form_data = {
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"extra_filters": [
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{"col": "a", "op": "in", "val": ["g1", "g2"]},
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{"col": "B", "op": "==", "val": ["c1", "c2"]},
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],
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"adhoc_filters": [
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{
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"clause": "WHERE",
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"comparator": "someval",
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"expressionType": "SIMPLE",
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"operator": "in",
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"subject": "a",
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},
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{
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"clause": "WHERE",
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"comparator": ["c1", "c2"],
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"expressionType": "SIMPLE",
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"operator": "==",
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"subject": "B",
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},
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],
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}
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expected = {
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"adhoc_filters": [
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{
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"clause": "WHERE",
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"comparator": "someval",
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"expressionType": "SIMPLE",
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"operator": "in",
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"subject": "a",
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},
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{
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"clause": "WHERE",
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"comparator": ["c1", "c2"],
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"expressionType": "SIMPLE",
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"operator": "==",
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"subject": "B",
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},
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{
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"clause": "WHERE",
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"comparator": ["g1", "g2"],
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"expressionType": "SIMPLE",
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"filterOptionName": "c11969c994b40a83a4ae7d48ff1ea28e",
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"isExtra": True,
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"operator": "in",
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"subject": "a",
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},
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],
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"applied_time_extras": {},
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}
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merge_extra_filters(form_data)
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self.assertEqual(form_data, expected)
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form_data = {
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"extra_filters": [
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{"col": "a", "op": "in", "val": "someval"},
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{"col": "B", "op": "==", "val": ["c1", "c2"]},
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],
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|
"adhoc_filters": [
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{
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|
"clause": "WHERE",
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"comparator": ["g1", "g2"],
|
|
"expressionType": "SIMPLE",
|
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"operator": "in",
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"subject": "a",
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},
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|
{
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|
"clause": "WHERE",
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"comparator": ["c1", "c2"],
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"expressionType": "SIMPLE",
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"operator": "==",
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"subject": "B",
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},
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],
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}
|
|
expected = {
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"adhoc_filters": [
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{
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"clause": "WHERE",
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"comparator": ["g1", "g2"],
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|
"expressionType": "SIMPLE",
|
|
"operator": "in",
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"subject": "a",
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},
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|
{
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|
"clause": "WHERE",
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|
"comparator": ["c1", "c2"],
|
|
"expressionType": "SIMPLE",
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"operator": "==",
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"subject": "B",
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},
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{
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"clause": "WHERE",
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"comparator": "someval",
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"expressionType": "SIMPLE",
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"filterOptionName": "90cfb3c34852eb3bc741b0cc20053b46",
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"isExtra": True,
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"operator": "in",
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"subject": "a",
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},
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],
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"applied_time_extras": {},
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}
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merge_extra_filters(form_data)
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self.assertEqual(form_data, expected)
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|
|
def test_merge_extra_filters_adds_unequal_lists(self):
|
|
form_data = {
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"extra_filters": [
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{"col": "a", "op": "in", "val": ["g1", "g2", "g3"]},
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|
{"col": "B", "op": "==", "val": ["c1", "c2", "c3"]},
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],
|
|
"adhoc_filters": [
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{
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|
"clause": "WHERE",
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|
"comparator": ["g1", "g2"],
|
|
"expressionType": "SIMPLE",
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|
"operator": "in",
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"subject": "a",
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},
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|
{
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|
"clause": "WHERE",
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"comparator": ["c1", "c2"],
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|
"expressionType": "SIMPLE",
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"operator": "==",
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"subject": "B",
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},
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|
],
|
|
}
|
|
expected = {
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|
"adhoc_filters": [
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{
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"clause": "WHERE",
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|
"comparator": ["g1", "g2"],
|
|
"expressionType": "SIMPLE",
|
|
"operator": "in",
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|
"subject": "a",
|
|
},
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|
{
|
|
"clause": "WHERE",
|
|
"comparator": ["c1", "c2"],
|
|
"expressionType": "SIMPLE",
|
|
"operator": "==",
|
|
"subject": "B",
|
|
},
|
|
{
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|
"clause": "WHERE",
|
|
"comparator": ["g1", "g2", "g3"],
|
|
"expressionType": "SIMPLE",
|
|
"filterOptionName": "21cbb68af7b17e62b3b2f75e2190bfd7",
|
|
"isExtra": True,
|
|
"operator": "in",
|
|
"subject": "a",
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},
|
|
{
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"clause": "WHERE",
|
|
"comparator": ["c1", "c2", "c3"],
|
|
"expressionType": "SIMPLE",
|
|
"filterOptionName": "0a8dcb928f1f4bba97643c6e68d672f1",
|
|
"isExtra": True,
|
|
"operator": "==",
|
|
"subject": "B",
|
|
},
|
|
],
|
|
"applied_time_extras": {},
|
|
}
|
|
merge_extra_filters(form_data)
|
|
self.assertEqual(form_data, expected)
|
|
|
|
def test_merge_request_params_when_url_params_undefined(self):
|
|
form_data = {"since": "2000", "until": "now"}
|
|
url_params = {"form_data": form_data, "dashboard_ids": "(1,2,3,4,5)"}
|
|
merge_request_params(form_data, url_params)
|
|
self.assertIn("url_params", form_data.keys())
|
|
self.assertIn("dashboard_ids", form_data["url_params"])
|
|
self.assertNotIn("form_data", form_data.keys())
|
|
|
|
def test_merge_request_params_when_url_params_predefined(self):
|
|
form_data = {
|
|
"since": "2000",
|
|
"until": "now",
|
|
"url_params": {"abc": "123", "dashboard_ids": "(1,2,3)"},
|
|
}
|
|
url_params = {"form_data": form_data, "dashboard_ids": "(1,2,3,4,5)"}
|
|
merge_request_params(form_data, url_params)
|
|
self.assertIn("url_params", form_data.keys())
|
|
self.assertIn("abc", form_data["url_params"])
|
|
self.assertEqual(
|
|
url_params["dashboard_ids"], form_data["url_params"]["dashboard_ids"]
|
|
)
|
|
|
|
def test_format_timedelta(self):
|
|
self.assertEqual(format_timedelta(timedelta(0)), "0:00:00")
|
|
self.assertEqual(format_timedelta(timedelta(days=1)), "1 day, 0:00:00")
|
|
self.assertEqual(format_timedelta(timedelta(minutes=-6)), "-0:06:00")
|
|
self.assertEqual(
|
|
format_timedelta(timedelta(0) - timedelta(days=1, hours=5, minutes=6)),
|
|
"-1 day, 5:06:00",
|
|
)
|
|
self.assertEqual(
|
|
format_timedelta(timedelta(0) - timedelta(days=16, hours=4, minutes=3)),
|
|
"-16 days, 4:03:00",
|
|
)
|
|
|
|
def test_json_encoded_obj(self):
|
|
obj = {"a": 5, "b": ["a", "g", 5]}
|
|
val = '{"a": 5, "b": ["a", "g", 5]}'
|
|
jsonObj = JSONEncodedDict()
|
|
resp = jsonObj.process_bind_param(obj, "dialect")
|
|
self.assertIn('"a": 5', resp)
|
|
self.assertIn('"b": ["a", "g", 5]', resp)
|
|
self.assertEqual(jsonObj.process_result_value(val, "dialect"), obj)
|
|
|
|
def test_validate_json(self):
|
|
valid = '{"a": 5, "b": [1, 5, ["g", "h"]]}'
|
|
self.assertIsNone(validate_json(valid))
|
|
invalid = '{"a": 5, "b": [1, 5, ["g", "h]]}'
|
|
with self.assertRaises(SupersetException):
|
|
validate_json(invalid)
|
|
|
|
def test_convert_legacy_filters_into_adhoc_where(self):
|
|
form_data = {"where": "a = 1"}
|
|
expected = {
|
|
"adhoc_filters": [
|
|
{
|
|
"clause": "WHERE",
|
|
"expressionType": "SQL",
|
|
"filterOptionName": "46fb6d7891e23596e42ae38da94a57e0",
|
|
"sqlExpression": "a = 1",
|
|
}
|
|
]
|
|
}
|
|
convert_legacy_filters_into_adhoc(form_data)
|
|
self.assertEqual(form_data, expected)
|
|
|
|
def test_convert_legacy_filters_into_adhoc_filters(self):
|
|
form_data = {"filters": [{"col": "a", "op": "in", "val": "someval"}]}
|
|
expected = {
|
|
"adhoc_filters": [
|
|
{
|
|
"clause": "WHERE",
|
|
"comparator": "someval",
|
|
"expressionType": "SIMPLE",
|
|
"filterOptionName": "135c7ee246666b840a3d7a9c3a30cf38",
|
|
"operator": "in",
|
|
"subject": "a",
|
|
}
|
|
]
|
|
}
|
|
convert_legacy_filters_into_adhoc(form_data)
|
|
self.assertEqual(form_data, expected)
|
|
|
|
def test_convert_legacy_filters_into_adhoc_having(self):
|
|
form_data = {"having": "COUNT(1) = 1"}
|
|
expected = {
|
|
"adhoc_filters": [
|
|
{
|
|
"clause": "HAVING",
|
|
"expressionType": "SQL",
|
|
"filterOptionName": "683f1c26466ab912f75a00842e0f2f7b",
|
|
"sqlExpression": "COUNT(1) = 1",
|
|
}
|
|
]
|
|
}
|
|
convert_legacy_filters_into_adhoc(form_data)
|
|
self.assertEqual(form_data, expected)
|
|
|
|
def test_convert_legacy_filters_into_adhoc_having_filters(self):
|
|
form_data = {"having_filters": [{"col": "COUNT(1)", "op": "==", "val": 1}]}
|
|
expected = {
|
|
"adhoc_filters": [
|
|
{
|
|
"clause": "HAVING",
|
|
"comparator": 1,
|
|
"expressionType": "SIMPLE",
|
|
"filterOptionName": "967d0fb409f6d9c7a6c03a46cf933c9c",
|
|
"operator": "==",
|
|
"subject": "COUNT(1)",
|
|
}
|
|
]
|
|
}
|
|
convert_legacy_filters_into_adhoc(form_data)
|
|
self.assertEqual(form_data, expected)
|
|
|
|
def test_convert_legacy_filters_into_adhoc_present_and_empty(self):
|
|
form_data = {"adhoc_filters": [], "where": "a = 1"}
|
|
expected = {
|
|
"adhoc_filters": [
|
|
{
|
|
"clause": "WHERE",
|
|
"expressionType": "SQL",
|
|
"filterOptionName": "46fb6d7891e23596e42ae38da94a57e0",
|
|
"sqlExpression": "a = 1",
|
|
}
|
|
]
|
|
}
|
|
convert_legacy_filters_into_adhoc(form_data)
|
|
self.assertEqual(form_data, expected)
|
|
|
|
def test_convert_legacy_filters_into_adhoc_present_and_nonempty(self):
|
|
form_data = {
|
|
"adhoc_filters": [
|
|
{"clause": "WHERE", "expressionType": "SQL", "sqlExpression": "a = 1"}
|
|
],
|
|
"filters": [{"col": "a", "op": "in", "val": "someval"}],
|
|
"having": "COUNT(1) = 1",
|
|
"having_filters": [{"col": "COUNT(1)", "op": "==", "val": 1}],
|
|
}
|
|
expected = {
|
|
"adhoc_filters": [
|
|
{"clause": "WHERE", "expressionType": "SQL", "sqlExpression": "a = 1"}
|
|
]
|
|
}
|
|
convert_legacy_filters_into_adhoc(form_data)
|
|
self.assertEqual(form_data, expected)
|
|
|
|
def test_parse_js_uri_path_items_eval_undefined(self):
|
|
self.assertIsNone(parse_js_uri_path_item("undefined", eval_undefined=True))
|
|
self.assertIsNone(parse_js_uri_path_item("null", eval_undefined=True))
|
|
self.assertEqual("undefined", parse_js_uri_path_item("undefined"))
|
|
self.assertEqual("null", parse_js_uri_path_item("null"))
|
|
|
|
def test_parse_js_uri_path_items_unquote(self):
|
|
self.assertEqual("slashed/name", parse_js_uri_path_item("slashed%2fname"))
|
|
self.assertEqual(
|
|
"slashed%2fname", parse_js_uri_path_item("slashed%2fname", unquote=False)
|
|
)
|
|
|
|
def test_parse_js_uri_path_items_item_optional(self):
|
|
self.assertIsNone(parse_js_uri_path_item(None))
|
|
self.assertIsNotNone(parse_js_uri_path_item("item"))
|
|
|
|
def test_get_stacktrace(self):
|
|
with app.app_context():
|
|
app.config["SHOW_STACKTRACE"] = True
|
|
try:
|
|
raise Exception("NONONO!")
|
|
except Exception:
|
|
stacktrace = get_stacktrace()
|
|
self.assertIn("NONONO", stacktrace)
|
|
|
|
app.config["SHOW_STACKTRACE"] = False
|
|
try:
|
|
raise Exception("NONONO!")
|
|
except Exception:
|
|
stacktrace = get_stacktrace()
|
|
assert stacktrace is None
|
|
|
|
def test_split(self):
|
|
self.assertEqual(list(split("a b")), ["a", "b"])
|
|
self.assertEqual(list(split("a,b", delimiter=",")), ["a", "b"])
|
|
self.assertEqual(list(split("a,(b,a)", delimiter=",")), ["a", "(b,a)"])
|
|
self.assertEqual(
|
|
list(split('a,(b,a),"foo , bar"', delimiter=",")),
|
|
["a", "(b,a)", '"foo , bar"'],
|
|
)
|
|
self.assertEqual(
|
|
list(split("a,'b,c'", delimiter=",", quote="'")), ["a", "'b,c'"]
|
|
)
|
|
self.assertEqual(list(split('a "b c"')), ["a", '"b c"'])
|
|
self.assertEqual(list(split(r'a "b \" c"')), ["a", r'"b \" c"'])
|
|
|
|
def test_get_or_create_db(self):
|
|
get_or_create_db("test_db", "sqlite:///superset.db")
|
|
database = db.session.query(Database).filter_by(database_name="test_db").one()
|
|
self.assertIsNotNone(database)
|
|
self.assertEqual(database.sqlalchemy_uri, "sqlite:///superset.db")
|
|
self.assertIsNotNone(
|
|
security_manager.find_permission_view_menu("database_access", database.perm)
|
|
)
|
|
# Test change URI
|
|
get_or_create_db("test_db", "sqlite:///changed.db")
|
|
database = db.session.query(Database).filter_by(database_name="test_db").one()
|
|
self.assertEqual(database.sqlalchemy_uri, "sqlite:///changed.db")
|
|
db.session.delete(database)
|
|
db.session.commit()
|
|
|
|
def test_get_or_create_db_invalid_uri(self):
|
|
with self.assertRaises(ArgumentError):
|
|
get_or_create_db("test_db", "yoursql:superset.db/()")
|
|
|
|
def test_get_time_range_endpoints(self):
|
|
self.assertEqual(
|
|
get_time_range_endpoints(form_data={}),
|
|
(TimeRangeEndpoint.INCLUSIVE, TimeRangeEndpoint.EXCLUSIVE),
|
|
)
|
|
|
|
self.assertEqual(
|
|
get_time_range_endpoints(
|
|
form_data={"time_range_endpoints": ["inclusive", "inclusive"]}
|
|
),
|
|
(TimeRangeEndpoint.INCLUSIVE, TimeRangeEndpoint.INCLUSIVE),
|
|
)
|
|
|
|
self.assertEqual(
|
|
get_time_range_endpoints(form_data={"datasource": "1_druid"}),
|
|
(TimeRangeEndpoint.INCLUSIVE, TimeRangeEndpoint.EXCLUSIVE),
|
|
)
|
|
|
|
slc = Mock()
|
|
slc.datasource.database.get_extra.return_value = {}
|
|
|
|
self.assertEqual(
|
|
get_time_range_endpoints(form_data={"datasource": "1__table"}, slc=slc),
|
|
(TimeRangeEndpoint.UNKNOWN, TimeRangeEndpoint.INCLUSIVE),
|
|
)
|
|
|
|
slc.datasource.database.get_extra.return_value = {
|
|
"time_range_endpoints": ["inclusive", "inclusive"]
|
|
}
|
|
|
|
self.assertEqual(
|
|
get_time_range_endpoints(form_data={"datasource": "1__table"}, slc=slc),
|
|
(TimeRangeEndpoint.INCLUSIVE, TimeRangeEndpoint.INCLUSIVE),
|
|
)
|
|
|
|
self.assertIsNone(get_time_range_endpoints(form_data={}, slc=slc))
|
|
|
|
with app.app_context():
|
|
app.config["SIP_15_GRACE_PERIOD_END"] = date.today() + timedelta(days=1)
|
|
|
|
self.assertEqual(
|
|
get_time_range_endpoints(form_data={"datasource": "1__table"}, slc=slc),
|
|
(TimeRangeEndpoint.INCLUSIVE, TimeRangeEndpoint.INCLUSIVE),
|
|
)
|
|
|
|
app.config["SIP_15_GRACE_PERIOD_END"] = date.today()
|
|
|
|
self.assertEqual(
|
|
get_time_range_endpoints(form_data={"datasource": "1__table"}, slc=slc),
|
|
(TimeRangeEndpoint.INCLUSIVE, TimeRangeEndpoint.EXCLUSIVE),
|
|
)
|
|
|
|
def test_get_iterable(self):
|
|
self.assertListEqual(get_iterable(123), [123])
|
|
self.assertListEqual(get_iterable([123]), [123])
|
|
self.assertListEqual(get_iterable("foo"), ["foo"])
|
|
|
|
@pytest.mark.usefixtures("load_world_bank_dashboard_with_slices")
|
|
def test_build_extra_filters(self):
|
|
world_health = db.session.query(Dashboard).filter_by(slug="world_health").one()
|
|
layout = json.loads(world_health.position_json)
|
|
filter_ = db.session.query(Slice).filter_by(slice_name="Region Filter").one()
|
|
world = db.session.query(Slice).filter_by(slice_name="World's Population").one()
|
|
box_plot = db.session.query(Slice).filter_by(slice_name="Box plot").one()
|
|
treemap = db.session.query(Slice).filter_by(slice_name="Treemap").one()
|
|
|
|
filter_scopes = {
|
|
str(filter_.id): {
|
|
"region": {"scope": ["ROOT_ID"], "immune": [treemap.id]},
|
|
"country_name": {
|
|
"scope": ["ROOT_ID"],
|
|
"immune": [treemap.id, box_plot.id],
|
|
},
|
|
}
|
|
}
|
|
|
|
default_filters = {
|
|
str(filter_.id): {
|
|
"region": ["North America"],
|
|
"country_name": ["United States"],
|
|
}
|
|
}
|
|
|
|
# immune to all filters
|
|
assert (
|
|
build_extra_filters(layout, filter_scopes, default_filters, treemap.id)
|
|
== []
|
|
)
|
|
|
|
# in scope
|
|
assert build_extra_filters(
|
|
layout, filter_scopes, default_filters, world.id
|
|
) == [
|
|
{"col": "region", "op": "==", "val": "North America"},
|
|
{"col": "country_name", "op": "in", "val": ["United States"]},
|
|
]
|
|
|
|
assert build_extra_filters(
|
|
layout, filter_scopes, default_filters, box_plot.id
|
|
) == [{"col": "region", "op": "==", "val": "North America"}]
|
|
|
|
def test_merge_extra_filters_with_no_extras(self):
|
|
form_data = {
|
|
"time_range": "Last 10 days",
|
|
}
|
|
merge_extra_form_data(form_data)
|
|
self.assertEqual(
|
|
form_data, {"time_range": "Last 10 days", "adhoc_filters": [],},
|
|
)
|
|
|
|
def test_merge_extra_filters_with_extras(self):
|
|
form_data = {
|
|
"time_range": "Last 10 days",
|
|
"extra_form_data": {
|
|
"filters": [{"col": "foo", "op": "IN", "val": ["bar"]}],
|
|
"adhoc_filters": [
|
|
{
|
|
"expressionType": "SQL",
|
|
"clause": "WHERE",
|
|
"sqlExpression": "1 = 0",
|
|
}
|
|
],
|
|
"time_range": "Last 100 years",
|
|
"time_grain_sqla": "PT1M",
|
|
"relative_start": "now",
|
|
},
|
|
}
|
|
merge_extra_form_data(form_data)
|
|
adhoc_filters = form_data["adhoc_filters"]
|
|
assert adhoc_filters[0] == {
|
|
"clause": "WHERE",
|
|
"expressionType": "SQL",
|
|
"isExtra": True,
|
|
"sqlExpression": "1 = 0",
|
|
}
|
|
converted_filter = adhoc_filters[1]
|
|
del converted_filter["filterOptionName"]
|
|
assert converted_filter == {
|
|
"clause": "WHERE",
|
|
"comparator": ["bar"],
|
|
"expressionType": "SIMPLE",
|
|
"isExtra": True,
|
|
"operator": "IN",
|
|
"subject": "foo",
|
|
}
|
|
assert form_data["time_range"] == "Last 100 years"
|
|
assert form_data["time_grain_sqla"] == "PT1M"
|
|
assert form_data["extras"]["relative_start"] == "now"
|
|
|
|
def test_ssl_certificate_parse(self):
|
|
parsed_certificate = parse_ssl_cert(ssl_certificate)
|
|
self.assertEqual(parsed_certificate.serial_number, 12355228710836649848)
|
|
self.assertRaises(CertificateException, parse_ssl_cert, "abc" + ssl_certificate)
|
|
|
|
def test_ssl_certificate_file_creation(self):
|
|
path = create_ssl_cert_file(ssl_certificate)
|
|
expected_filename = md5_sha_from_str(ssl_certificate)
|
|
self.assertIn(expected_filename, path)
|
|
self.assertTrue(os.path.exists(path))
|
|
|
|
def test_get_email_address_list(self):
|
|
self.assertEqual(get_email_address_list("a@a"), ["a@a"])
|
|
self.assertEqual(get_email_address_list(" a@a "), ["a@a"])
|
|
self.assertEqual(get_email_address_list("a@a\n"), ["a@a"])
|
|
self.assertEqual(get_email_address_list(",a@a;"), ["a@a"])
|
|
self.assertEqual(
|
|
get_email_address_list(",a@a; b@b c@c a-c@c; d@d, f@f"),
|
|
["a@a", "b@b", "c@c", "a-c@c", "d@d", "f@f"],
|
|
)
|
|
|
|
def test_get_form_data_default(self) -> None:
|
|
with app.test_request_context():
|
|
form_data, slc = get_form_data()
|
|
|
|
self.assertEqual(
|
|
form_data,
|
|
{"time_range_endpoints": get_time_range_endpoints(form_data={})},
|
|
)
|
|
|
|
self.assertEqual(slc, None)
|
|
|
|
def test_get_form_data_request_args(self) -> None:
|
|
with app.test_request_context(
|
|
query_string={"form_data": json.dumps({"foo": "bar"})}
|
|
):
|
|
form_data, slc = get_form_data()
|
|
|
|
self.assertEqual(
|
|
form_data,
|
|
{
|
|
"foo": "bar",
|
|
"time_range_endpoints": get_time_range_endpoints(form_data={}),
|
|
},
|
|
)
|
|
|
|
self.assertEqual(slc, None)
|
|
|
|
def test_get_form_data_request_form(self) -> None:
|
|
with app.test_request_context(data={"form_data": json.dumps({"foo": "bar"})}):
|
|
form_data, slc = get_form_data()
|
|
|
|
self.assertEqual(
|
|
form_data,
|
|
{
|
|
"foo": "bar",
|
|
"time_range_endpoints": get_time_range_endpoints(form_data={}),
|
|
},
|
|
)
|
|
|
|
self.assertEqual(slc, None)
|
|
|
|
def test_get_form_data_request_form_with_queries(self) -> None:
|
|
# the CSV export uses for requests, even when sending requests to
|
|
# /api/v1/chart/data
|
|
with app.test_request_context(
|
|
data={
|
|
"form_data": json.dumps({"queries": [{"url_params": {"foo": "bar"}}]})
|
|
}
|
|
):
|
|
form_data, slc = get_form_data()
|
|
|
|
self.assertEqual(
|
|
form_data,
|
|
{
|
|
"url_params": {"foo": "bar"},
|
|
"time_range_endpoints": get_time_range_endpoints(form_data={}),
|
|
},
|
|
)
|
|
|
|
self.assertEqual(slc, None)
|
|
|
|
def test_get_form_data_request_args_and_form(self) -> None:
|
|
with app.test_request_context(
|
|
data={"form_data": json.dumps({"foo": "bar"})},
|
|
query_string={"form_data": json.dumps({"baz": "bar"})},
|
|
):
|
|
form_data, slc = get_form_data()
|
|
|
|
self.assertEqual(
|
|
form_data,
|
|
{
|
|
"baz": "bar",
|
|
"foo": "bar",
|
|
"time_range_endpoints": get_time_range_endpoints(form_data={}),
|
|
},
|
|
)
|
|
|
|
self.assertEqual(slc, None)
|
|
|
|
def test_get_form_data_globals(self) -> None:
|
|
with app.test_request_context():
|
|
g.form_data = {"foo": "bar"}
|
|
form_data, slc = get_form_data()
|
|
delattr(g, "form_data")
|
|
|
|
self.assertEqual(
|
|
form_data,
|
|
{
|
|
"foo": "bar",
|
|
"time_range_endpoints": get_time_range_endpoints(form_data={}),
|
|
},
|
|
)
|
|
|
|
self.assertEqual(slc, None)
|
|
|
|
def test_get_form_data_corrupted_json(self) -> None:
|
|
with app.test_request_context(
|
|
data={"form_data": "{x: '2324'}"},
|
|
query_string={"form_data": '{"baz": "bar"'},
|
|
):
|
|
form_data, slc = get_form_data()
|
|
|
|
self.assertEqual(
|
|
form_data,
|
|
{"time_range_endpoints": get_time_range_endpoints(form_data={})},
|
|
)
|
|
|
|
self.assertEqual(slc, None)
|
|
|
|
@pytest.mark.usefixtures("load_birth_names_dashboard_with_slices")
|
|
def test_log_this(self) -> None:
|
|
# TODO: Add additional scenarios.
|
|
self.login(username="admin")
|
|
slc = self.get_slice("Girls", db.session)
|
|
dashboard_id = 1
|
|
|
|
resp = self.get_json_resp(
|
|
f"/superset/explore_json/{slc.datasource_type}/{slc.datasource_id}/"
|
|
+ f'?form_data={{"slice_id": {slc.id}}}&dashboard_id={dashboard_id}',
|
|
{"form_data": json.dumps(slc.viz.form_data)},
|
|
)
|
|
|
|
record = (
|
|
db.session.query(Log)
|
|
.filter_by(action="explore_json", slice_id=slc.id)
|
|
.order_by(Log.dttm.desc())
|
|
.first()
|
|
)
|
|
|
|
self.assertEqual(record.dashboard_id, dashboard_id)
|
|
self.assertEqual(json.loads(record.json)["dashboard_id"], str(dashboard_id))
|
|
self.assertEqual(json.loads(record.json)["form_data"]["slice_id"], slc.id)
|
|
|
|
self.assertEqual(
|
|
json.loads(record.json)["form_data"]["viz_type"],
|
|
slc.viz.form_data["viz_type"],
|
|
)
|
|
|
|
def test_schema_validate_json(self):
|
|
valid = '{"a": 5, "b": [1, 5, ["g", "h"]]}'
|
|
self.assertIsNone(schema.validate_json(valid))
|
|
invalid = '{"a": 5, "b": [1, 5, ["g", "h]]}'
|
|
self.assertRaises(marshmallow.ValidationError, schema.validate_json, invalid)
|
|
|
|
def test_schema_one_of_case_insensitive(self):
|
|
validator = schema.OneOfCaseInsensitive(choices=[1, 2, 3, "FoO", "BAR", "baz"])
|
|
self.assertEqual(1, validator(1))
|
|
self.assertEqual(2, validator(2))
|
|
self.assertEqual("FoO", validator("FoO"))
|
|
self.assertEqual("FOO", validator("FOO"))
|
|
self.assertEqual("bar", validator("bar"))
|
|
self.assertEqual("BaZ", validator("BaZ"))
|
|
self.assertRaises(marshmallow.ValidationError, validator, "qwerty")
|
|
self.assertRaises(marshmallow.ValidationError, validator, 4)
|
|
|
|
def test_cast_to_num(self) -> None:
|
|
assert cast_to_num("5") == 5
|
|
assert cast_to_num("5.2") == 5.2
|
|
assert cast_to_num(10) == 10
|
|
assert cast_to_num(10.1) == 10.1
|
|
assert cast_to_num(None) is None
|
|
assert cast_to_num("this is not a string") is None
|
|
|
|
def test_get_form_data_token(self):
|
|
assert get_form_data_token({"token": "token_abcdefg1"}) == "token_abcdefg1"
|
|
generated_token = get_form_data_token({})
|
|
assert re.match(r"^token_[a-z0-9]{8}$", generated_token) is not None
|
|
|
|
def test_extract_dataframe_dtypes(self):
|
|
cols: Tuple[Tuple[str, GenericDataType, List[Any]], ...] = (
|
|
("dt", GenericDataType.TEMPORAL, [date(2021, 2, 4), date(2021, 2, 4)]),
|
|
(
|
|
"dttm",
|
|
GenericDataType.TEMPORAL,
|
|
[datetime(2021, 2, 4, 1, 1, 1), datetime(2021, 2, 4, 1, 1, 1)],
|
|
),
|
|
("str", GenericDataType.STRING, ["foo", "foo"]),
|
|
("int", GenericDataType.NUMERIC, [1, 1]),
|
|
("float", GenericDataType.NUMERIC, [0.5, 0.5]),
|
|
("mixed-int-float", GenericDataType.NUMERIC, [0.5, 1.0]),
|
|
("bool", GenericDataType.BOOLEAN, [True, False]),
|
|
("mixed-str-int", GenericDataType.STRING, ["abc", 1.0]),
|
|
("obj", GenericDataType.STRING, [{"a": 1}, {"a": 1}]),
|
|
("dt_null", GenericDataType.TEMPORAL, [None, date(2021, 2, 4)]),
|
|
(
|
|
"dttm_null",
|
|
GenericDataType.TEMPORAL,
|
|
[None, datetime(2021, 2, 4, 1, 1, 1)],
|
|
),
|
|
("str_null", GenericDataType.STRING, [None, "foo"]),
|
|
("int_null", GenericDataType.NUMERIC, [None, 1]),
|
|
("float_null", GenericDataType.NUMERIC, [None, 0.5]),
|
|
("bool_null", GenericDataType.BOOLEAN, [None, False]),
|
|
("obj_null", GenericDataType.STRING, [None, {"a": 1}]),
|
|
)
|
|
|
|
df = pd.DataFrame(data={col[0]: col[2] for col in cols})
|
|
assert extract_dataframe_dtypes(df) == [col[1] for col in cols]
|
|
|
|
def test_normalize_dttm_col(self):
|
|
def normalize_col(
|
|
df: pd.DataFrame,
|
|
timestamp_format: Optional[str],
|
|
offset: int,
|
|
time_shift: Optional[timedelta],
|
|
) -> pd.DataFrame:
|
|
df = df.copy()
|
|
normalize_dttm_col(df, timestamp_format, offset, time_shift)
|
|
return df
|
|
|
|
ts = pd.Timestamp(2021, 2, 15, 19, 0, 0, 0)
|
|
df = pd.DataFrame([{"__timestamp": ts, "a": 1}])
|
|
|
|
# test regular (non-numeric) format
|
|
assert normalize_col(df, None, 0, None)[DTTM_ALIAS][0] == ts
|
|
assert normalize_col(df, "epoch_ms", 0, None)[DTTM_ALIAS][0] == ts
|
|
assert normalize_col(df, "epoch_s", 0, None)[DTTM_ALIAS][0] == ts
|
|
|
|
# test offset
|
|
assert normalize_col(df, None, 1, None)[DTTM_ALIAS][0] == pd.Timestamp(
|
|
2021, 2, 15, 20, 0, 0, 0
|
|
)
|
|
|
|
# test offset and timedelta
|
|
assert normalize_col(df, None, 1, timedelta(minutes=30))[DTTM_ALIAS][
|
|
0
|
|
] == pd.Timestamp(2021, 2, 15, 20, 30, 0, 0)
|
|
|
|
# test numeric epoch_s format
|
|
df = pd.DataFrame([{"__timestamp": ts.timestamp(), "a": 1}])
|
|
assert normalize_col(df, "epoch_s", 0, None)[DTTM_ALIAS][0] == ts
|
|
|
|
# test numeric epoch_ms format
|
|
df = pd.DataFrame([{"__timestamp": ts.timestamp() * 1000, "a": 1}])
|
|
assert normalize_col(df, "epoch_ms", 0, None)[DTTM_ALIAS][0] == ts
|