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feat: allow exporting all tabs to a single PDF in report (#30694)

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Steven Liu
2024-11-04 12:39:09 +11:00
committed by GitHub
parent b02d18a39e
commit 29e3f4bcc4
6 changed files with 995 additions and 26 deletions
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651
tests/integration_tests/fixtures/dashboard_with_tabs.py Normal file
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@@ -0,0 +1,651 @@
# 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.
import json
import pytest
from tests.integration_tests.dashboard_utils import create_dashboard
from tests.integration_tests.test_app import app
MULTIPLE_TABS_TBL_NAME = "multiple_tabs"
@pytest.fixture(scope="session")
def load_mutltiple_tabs_dashboard():
position_json = {
"CHART--0GPGmD-pO": {
"children": [],
"id": "CHART--0GPGmD-pO",
"meta": {
"chartId": 91,
"height": 56,
"sliceName": "Current Developers: Is this your first development job?",
"sliceNameOverride": "Is this your first development job?",
"uuid": "bfe5a8e6-146f-ef59-5e6c-13d519b236a8",
"width": 2,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-l_9I0aNYZ",
"ROW-b7USYEngT",
],
"type": "CHART",
},
"CHART--w_Br1tPP3": {
"children": [],
"id": "CHART--w_Br1tPP3",
"meta": {
"chartId": 85,
"height": 51,
"sliceName": "\u2708\ufe0f Relocation ability",
"uuid": "a6dd2d5a-2cdc-c8ec-f30c-85920f4f8a65",
"width": 3,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-YT6eNksV-",
"ROW-DR80aHJA2c",
],
"type": "CHART",
},
"CHART-0-zzTwBINh": {
"children": [],
"id": "CHART-0-zzTwBINh",
"meta": {
"chartId": 72,
"height": 55,
"sliceName": "Last Year Income Distribution",
"uuid": "a2ec5256-94b4-43c4-b8c7-b83f70c5d4df",
"width": 3,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-l_9I0aNYZ",
"ROW-b7USYEngT",
],
"type": "CHART",
},
"CHART-37fu7fO6Z0": {
"children": [],
"id": "CHART-37fu7fO6Z0",
"meta": {
"chartId": 93,
"height": 69,
"sliceName": "Degrees vs Income",
"uuid": "02f546ae-1bf4-bd26-8bc2-14b9279c8a62",
"width": 7,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-l_9I0aNYZ",
"ROW-kNjtGVFpp",
],
"type": "CHART",
},
"CHART-5QwNlSbXYU": {
"children": [],
"id": "CHART-5QwNlSbXYU",
"meta": {
"chartId": 90,
"height": 69,
"sliceName": "Commute Time",
"uuid": "097c05c9-2dd2-481d-813d-d6c0c12b4a3d",
"width": 5,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-l_9I0aNYZ",
"ROW-kNjtGVFpp",
],
"type": "CHART",
},
"CHART-FKuVqq4kaA": {
"children": [],
"id": "CHART-FKuVqq4kaA",
"meta": {
"chartId": 50,
"height": 50,
"sliceName": "Work Location Preference",
"sliceNameOverride": "Work Location Preference",
"uuid": "e6b09c28-98cf-785f-4caf-320fd4fca802",
"width": 3,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-YT6eNksV-",
"ROW-DR80aHJA2c",
],
"type": "CHART",
},
"CHART-JnpdZOhVer": {
"children": [],
"id": "CHART-JnpdZOhVer",
"meta": {
"chartId": 51,
"height": 50,
"sliceName": "Highest degree held",
"uuid": "9f7d2b9c-6b3a-69f9-f03e-d3a141514639",
"width": 2,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-YT6eNksV-",
"ROW--BIzjz9F0",
"COLUMN-IEKAo_QJlz",
],
"type": "CHART",
},
"CHART-LjfhrUkEef": {
"children": [],
"id": "CHART-LjfhrUkEef",
"meta": {
"chartId": 86,
"height": 68,
"sliceName": "First Time Developer & Commute Time",
"uuid": "067c4a1e-ae03-4c0c-8e2a-d2c0f4bf43c3",
"width": 5,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-l_9I0aNYZ",
"ROW-s3l4os7YY",
],
"type": "CHART",
},
"CHART-Q3pbwsH3id": {
"children": [],
"id": "CHART-Q3pbwsH3id",
"meta": {
"chartId": 79,
"height": 50,
"sliceName": "Are you an ethnic minority in your city?",
"sliceNameOverride": "Minority Status (in their city)",
"uuid": "def07750-b5c0-0b69-6228-cb2330916166",
"width": 3,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-AsMaxdYL_t",
"ROW-mOvr_xWm1",
],
"type": "CHART",
},
"CHART-QVql08s5Bv": {
"children": [],
"id": "CHART-QVql08s5Bv",
"meta": {
"chartId": 92,
"height": 56,
"sliceName": "First Time Developer?",
"uuid": "edc75073-8f33-4123-a28d-cd6dfb33cade",
"width": 3,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-l_9I0aNYZ",
"ROW-b7USYEngT",
],
"type": "CHART",
},
"CHART-UtSaz4pfV6": {
"children": [],
"id": "CHART-UtSaz4pfV6",
"meta": {
"chartId": 59,
"height": 50,
"sliceName": "Age distribution of respondents",
"uuid": "5f1ea868-604e-f69d-a241-5daa83ff33be",
"width": 3,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-AsMaxdYL_t",
"ROW-UsW-_RPAb",
"COLUMN-OJ5spdMmNh",
],
"type": "CHART",
},
"CHART-VvFbGxi3X_": {
"children": [],
"id": "CHART-VvFbGxi3X_",
"meta": {
"chartId": 41,
"height": 62,
"sliceName": "Top 15 Languages Spoken at Home",
"uuid": "03a74c97-52fc-cf87-233c-d4275f8c550c",
"width": 3,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-AsMaxdYL_t",
"ROW-UsW-_RPAb",
"COLUMN-OJ5spdMmNh",
],
"type": "CHART",
},
"CHART-XHncHuS5pZ": {
"children": [],
"id": "CHART-XHncHuS5pZ",
"meta": {
"chartId": 78,
"height": 41,
"sliceName": "Number of Aspiring Developers",
"sliceNameOverride": "What type of work would you prefer?",
"uuid": "a0e5329f-224e-6fc8-efd2-d37d0f546ee8",
"width": 2,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-YT6eNksV-",
"ROW-DR80aHJA2c",
],
"type": "CHART",
},
"CHART-YSzS5GOOLf": {
"children": [],
"id": "CHART-YSzS5GOOLf",
"meta": {
"chartId": 49,
"height": 54,
"sliceName": "Ethnic Minority & Gender",
"uuid": "4880e4f4-b701-4be0-86f3-e7e89432e83b",
"width": 3,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-AsMaxdYL_t",
"ROW-mOvr_xWm1",
],
"type": "CHART",
},
"CHART-ZECnzPz8Bi": {
"children": [],
"id": "CHART-ZECnzPz8Bi",
"meta": {
"chartId": 70,
"height": 74,
"sliceName": "Location of Current Developers",
"uuid": "5596e0f6-78a9-465d-8325-7139c794a06a",
"width": 7,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-l_9I0aNYZ",
"ROW-s3l4os7YY",
],
"type": "CHART",
},
"CHART-aytwlT4GAq": {
"children": [],
"id": "CHART-aytwlT4GAq",
"meta": {
"chartId": 83,
"height": 30,
"sliceName": "Breakdown of Developer Type",
"uuid": "b8386be8-f44e-6535-378c-2aa2ba461286",
"width": 6,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-AsMaxdYL_t",
"ROW-y-GwJPgxLr",
],
"type": "CHART",
},
"CHART-fLpTSAHpAO": {
"children": [],
"id": "CHART-fLpTSAHpAO",
"meta": {
"chartId": 60,
"height": 118,
"sliceName": "Country of Citizenship",
"uuid": "2ba66056-a756-d6a3-aaec-0c243fb7062e",
"width": 9,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-AsMaxdYL_t",
"ROW-UsW-_RPAb",
],
"type": "CHART",
},
"CHART-lQVSAw0Or3": {
"children": [],
"id": "CHART-lQVSAw0Or3",
"meta": {
"chartId": 94,
"height": 100,
"sliceName": "How do you prefer to work?",
"sliceNameOverride": "Preferred Employment Style vs Degree",
"uuid": "cb8998ab-9f93-4f0f-4e4b-3bfe4b0dea9d",
"width": 4,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-YT6eNksV-",
"ROW--BIzjz9F0",
],
"type": "CHART",
},
"CHART-o-JPAWMZK-": {
"children": [],
"id": "CHART-o-JPAWMZK-",
"meta": {
"chartId": 69,
"height": 50,
"sliceName": "Gender",
"uuid": "0f6b447c-828c-e71c-87ac-211bc412b214",
"width": 3,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-AsMaxdYL_t",
"ROW-mOvr_xWm1",
],
"type": "CHART",
},
"CHART-v22McUFMtx": {
"children": [],
"id": "CHART-v22McUFMtx",
"meta": {
"chartId": 71,
"height": 52,
"sliceName": "How much do you expect to earn? ($0 - 100k)",
"sliceNameOverride": "\ud83d\udcb2Expected Income (excluding outliers)",
"uuid": "6d0ceb30-2008-d19c-d285-cf77dc764433",
"width": 4,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-YT6eNksV-",
"ROW--BIzjz9F0",
"COLUMN-IEKAo_QJlz",
],
"type": "CHART",
},
"CHART-wxWVtlajRF": {
"children": [],
"id": "CHART-wxWVtlajRF",
"meta": {
"chartId": 82,
"height": 104,
"sliceName": "Preferred Employment Style",
"uuid": "bff88053-ccc4-92f2-d6f5-de83e950e8cd",
"width": 4,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-YT6eNksV-",
"ROW--BIzjz9F0",
],
"type": "CHART",
},
"COLUMN-IEKAo_QJlz": {
"children": ["CHART-JnpdZOhVer", "CHART-v22McUFMtx"],
"id": "COLUMN-IEKAo_QJlz",
"meta": {"background": "BACKGROUND_TRANSPARENT", "width": 4},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-YT6eNksV-",
"ROW--BIzjz9F0",
],
"type": "COLUMN",
},
"COLUMN-OJ5spdMmNh": {
"children": ["CHART-VvFbGxi3X_", "CHART-UtSaz4pfV6"],
"id": "COLUMN-OJ5spdMmNh",
"meta": {"background": "BACKGROUND_TRANSPARENT", "width": 3},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-AsMaxdYL_t",
"ROW-UsW-_RPAb",
],
"type": "COLUMN",
},
"DASHBOARD_VERSION_KEY": "v2",
"GRID_ID": {
"children": ["TABS-L-d9eyOE-b"],
"id": "GRID_ID",
"parents": ["ROOT_ID"],
"type": "GRID",
},
"HEADER_ID": {
"id": "HEADER_ID",
"meta": {"text": "FCC New Coder Survey 2018"},
"type": "HEADER",
},
"MARKDOWN-BUmyHM2s0x": {
"children": [],
"id": "MARKDOWN-BUmyHM2s0x",
"meta": {
"code": "# Aspiring Developers\n\nThe mission of FreeCodeCamp is to \"help people learn to code for free\". With this in mind, it's no surprise that ~83% of this survey's respondents fall into the **Aspiring Developer** category.\n\nIn this tab, we use visualization to explore:\n\n- Interest in relocating for work\n- Preferences around work location & style\n- Distribution of expected income\n- Distribution of highest degree held\n- Heatmap of highest degree held vs employment style preference",
"height": 50,
"width": 4,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-YT6eNksV-",
"ROW-DR80aHJA2c",
],
"type": "MARKDOWN",
},
"MARKDOWN-NQmSPDOtpl": {
"children": [],
"id": "MARKDOWN-NQmSPDOtpl",
"meta": {
"code": "# Current Developers\n\nWhile majority of the students on FCC are Aspiring developers, there's a nontrivial minority that's there to continue leveling up their skills (17% of the survey respondents).\n\nBased on how respondents self-identified in the start of the survey, they were asked different questions. In this tab, we use visualizations to explore:\n\n- The buckets of commute team these developers encounter\n- The proportion of developers whose current job is their first developer job\n- Distribution of last year's income\n- The geographic distribution of these developers\n- The overlap between commute time and if their current job is their first developer job\n- Potential link between highest degree earned and last year's income",
"height": 56,
"width": 4,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-l_9I0aNYZ",
"ROW-b7USYEngT",
],
"type": "MARKDOWN",
},
"MARKDOWN-__u6CsUyfh": {
"children": [],
"id": "MARKDOWN-__u6CsUyfh",
"meta": {
"code": "## FreeCodeCamp New Coder Survey 2018\n\nEvery year, FCC surveys its user base (mostly budding software developers) to learn more about their interests, backgrounds, goals, job status, and socioeconomic features. This dashboard visualizes survey data from the 2018 survey.\n\n- [Survey link](https://freecodecamp.typeform.com/to/S3UeD9)\n- [Dataset](https://github.com/freeCodeCamp/2018-new-coder-survey)\n- [FCC Blog Post](https://www.freecodecamp.org/news/we-asked-20-000-people-who-they-are-and-how-theyre-learning-to-code-fff5d668969/)",
"height": 30,
"width": 6,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-AsMaxdYL_t",
"ROW-y-GwJPgxLr",
],
"type": "MARKDOWN",
},
"MARKDOWN-zc2mWxZeox": {
"children": [],
"id": "MARKDOWN-zc2mWxZeox",
"meta": {
"code": "# Demographics\n\nFreeCodeCamp is a completely-online community of people learning to code and consists of aspiring & current developers from all over the world. That doesn't necessarily mean that access to these types of opportunities are evenly distributed. \n\nThe following charts can begin to help us understand:\n\n- the original citizenship of the survey respondents\n- minority representation among both aspiring and current developers\n- their age distribution\n- household languages",
"height": 52,
"width": 3,
},
"parents": [
"ROOT_ID",
"GRID_ID",
"TABS-L-d9eyOE-b",
"TAB-AsMaxdYL_t",
"ROW-mOvr_xWm1",
],
"type": "MARKDOWN",
},
"ROOT_ID": {"children": ["GRID_ID"], "id": "ROOT_ID", "type": "ROOT"},
"ROW--BIzjz9F0": {
"children": ["COLUMN-IEKAo_QJlz", "CHART-lQVSAw0Or3", "CHART-wxWVtlajRF"],
"id": "ROW--BIzjz9F0",
"meta": {"background": "BACKGROUND_TRANSPARENT"},
"parents": ["ROOT_ID", "GRID_ID", "TABS-L-d9eyOE-b", "TAB-YT6eNksV-"],
"type": "ROW",
},
"ROW-DR80aHJA2c": {
"children": [
"MARKDOWN-BUmyHM2s0x",
"CHART-XHncHuS5pZ",
"CHART--w_Br1tPP3",
"CHART-FKuVqq4kaA",
],
"id": "ROW-DR80aHJA2c",
"meta": {"background": "BACKGROUND_TRANSPARENT"},
"parents": ["ROOT_ID", "GRID_ID", "TABS-L-d9eyOE-b", "TAB-YT6eNksV-"],
"type": "ROW",
},
"ROW-UsW-_RPAb": {
"children": ["COLUMN-OJ5spdMmNh", "CHART-fLpTSAHpAO"],
"id": "ROW-UsW-_RPAb",
"meta": {"background": "BACKGROUND_TRANSPARENT"},
"parents": ["ROOT_ID", "GRID_ID", "TABS-L-d9eyOE-b", "TAB-AsMaxdYL_t"],
"type": "ROW",
},
"ROW-b7USYEngT": {
"children": [
"MARKDOWN-NQmSPDOtpl",
"CHART--0GPGmD-pO",
"CHART-QVql08s5Bv",
"CHART-0-zzTwBINh",
],
"id": "ROW-b7USYEngT",
"meta": {"background": "BACKGROUND_TRANSPARENT"},
"parents": ["ROOT_ID", "GRID_ID", "TABS-L-d9eyOE-b", "TAB-l_9I0aNYZ"],
"type": "ROW",
},
"ROW-kNjtGVFpp": {
"children": ["CHART-5QwNlSbXYU", "CHART-37fu7fO6Z0"],
"id": "ROW-kNjtGVFpp",
"meta": {"background": "BACKGROUND_TRANSPARENT"},
"parents": ["ROOT_ID", "GRID_ID", "TABS-L-d9eyOE-b", "TAB-l_9I0aNYZ"],
"type": "ROW",
},
"ROW-mOvr_xWm1": {
"children": [
"MARKDOWN-zc2mWxZeox",
"CHART-Q3pbwsH3id",
"CHART-o-JPAWMZK-",
"CHART-YSzS5GOOLf",
],
"id": "ROW-mOvr_xWm1",
"meta": {"background": "BACKGROUND_TRANSPARENT"},
"parents": ["ROOT_ID", "GRID_ID", "TABS-L-d9eyOE-b", "TAB-AsMaxdYL_t"],
"type": "ROW",
},
"ROW-s3l4os7YY": {
"children": ["CHART-LjfhrUkEef", "CHART-ZECnzPz8Bi"],
"id": "ROW-s3l4os7YY",
"meta": {"background": "BACKGROUND_TRANSPARENT"},
"parents": ["ROOT_ID", "GRID_ID", "TABS-L-d9eyOE-b", "TAB-l_9I0aNYZ"],
"type": "ROW",
},
"ROW-y-GwJPgxLr": {
"children": ["MARKDOWN-__u6CsUyfh", "CHART-aytwlT4GAq"],
"id": "ROW-y-GwJPgxLr",
"meta": {"background": "BACKGROUND_TRANSPARENT"},
"parents": ["ROOT_ID", "GRID_ID", "TABS-L-d9eyOE-b", "TAB-AsMaxdYL_t"],
"type": "ROW",
},
"TAB-AsMaxdYL_t": {
"children": ["ROW-y-GwJPgxLr", "ROW-mOvr_xWm1", "ROW-UsW-_RPAb"],
"id": "TAB-AsMaxdYL_t",
"meta": {"text": "Overview"},
"parents": ["ROOT_ID", "GRID_ID", "TABS-L-d9eyOE-b"],
"type": "TAB",
},
"TAB-YT6eNksV-": {
"children": ["ROW-DR80aHJA2c", "ROW--BIzjz9F0"],
"id": "TAB-YT6eNksV-",
"meta": {"text": "\ud83d\ude80 Aspiring Developers"},
"parents": ["ROOT_ID", "GRID_ID", "TABS-L-d9eyOE-b"],
"type": "TAB",
},
"TAB-l_9I0aNYZ": {
"children": ["ROW-b7USYEngT", "ROW-kNjtGVFpp", "ROW-s3l4os7YY"],
"id": "TAB-l_9I0aNYZ",
"meta": {"text": "\ud83d\udcbb Current Developers"},
"parents": ["ROOT_ID", "GRID_ID", "TABS-L-d9eyOE-b"],
"type": "TAB",
},
"TABS-L-d9eyOE-b": {
"children": ["TAB-AsMaxdYL_t", "TAB-YT6eNksV-", "TAB-l_9I0aNYZ"],
"id": "TABS-L-d9eyOE-b",
"meta": {},
"parents": ["ROOT_ID", "GRID_ID"],
"type": "TABS",
},
}
with app.app_context():
dash = create_dashboard(
"multi_tabs_test", "multiple tabs Test", json.dumps(position_json), None
)
yield dash

79
tests/integration_tests/reports/api_tests.py
View File

@@ -49,6 +49,9 @@ from tests.integration_tests.fixtures.birth_names_dashboard import (
load_birth_names_dashboard_with_slices, # noqa: F401
load_birth_names_data, # noqa: F401
)
from tests.integration_tests.fixtures.dashboard_with_tabs import (
load_mutltiple_tabs_dashboard, # noqa: F401
)
from tests.integration_tests.reports.utils import insert_report_schedule
REPORTS_COUNT = 10
@@ -1972,3 +1975,79 @@ class TestReportSchedulesApi(SupersetTestCase):
assert rv.status_code == 405
rv = self.client.delete(uri)
assert rv.status_code == 405
@with_feature_flags(ALERT_REPORT_TABS=True)
@pytest.mark.usefixtures(
"load_birth_names_dashboard_with_slices", "create_report_schedules"
)
def test_create_report_schedule_with_invalid_anchors(self):
"""
ReportSchedule Api: Test get report schedule 404s when feature is disabled
"""
report_schedule = db.session.query(Dashboard).first()
get_example_database() # noqa: F841
anchors = ["TAB-AsMaxdYL_t", "TAB-YT6eNksV-", "TAB-l_9I0aNYZ"]
report_schedule_data = {
"type": ReportScheduleType.REPORT,
"name": "random_name1",
"description": "description",
"creation_method": ReportCreationMethod.ALERTS_REPORTS,
"crontab": "0 9 * * *",
"working_timeout": 3600,
"dashboard": report_schedule.id,
"extra": {"dashboard": {"anchor": json.dumps(anchors)}},
}
self.login(ADMIN_USERNAME)
uri = "api/v1/report/"
rv = self.post_assert_metric(uri, report_schedule_data, "post")
data = json.loads(rv.data.decode("utf-8"))
assert rv.status_code == 422
assert "message" in data
assert "extra" in data["message"]
assert all(anchor in data["message"]["extra"][0] for anchor in anchors) is True
@with_feature_flags(ALERT_REPORT_TABS=True)
@pytest.mark.usefixtures("load_mutltiple_tabs_dashboard", "create_report_schedules")
def test_create_report_schedule_with_multiple_anchors(self):
"""
ReportSchedule Api: Test report schedule with all tabs
"""
report_dashboard = (
db.session.query(Dashboard)
.filter(Dashboard.slug == "multi_tabs_test")
.first()
)
get_example_database() # noqa: F841
self.login(ADMIN_USERNAME)
tabs_uri = f"/api/v1/dashboard/{report_dashboard.id}/tabs"
rv = self.client.get(tabs_uri)
data = json.loads(rv.data.decode("utf-8"))
tabs_keys = list(data.get("result").get("all_tabs").keys())
extra_json = {"dashboard": {"anchor": json.dumps(tabs_keys)}}
report_schedule_data = {
"type": ReportScheduleType.REPORT,
"name": "random_name2",
"description": "description",
"creation_method": ReportCreationMethod.ALERTS_REPORTS,
"crontab": "0 9 * * *",
"working_timeout": 3600,
"dashboard": report_dashboard.id,
"extra": extra_json,
}
uri = "api/v1/report/"
rv = self.post_assert_metric(uri, report_schedule_data, "post")
data = json.loads(rv.data.decode("utf-8"))
assert rv.status_code == 201
report_schedule = (
db.session.query(ReportSchedule)
.filter(ReportSchedule.dashboard_id == report_dashboard.id)
.first()
)
assert json.loads(report_schedule.extra_json) == extra_json