Files
superset2/superset/examples/supported_charts_dashboard.py
2025-07-24 09:40:49 -07:00

1252 lines
26 KiB
Python

# 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.
# pylint: disable=too-many-lines
import logging
import textwrap
from sqlalchemy import inspect
from superset import db
from superset.connectors.sqla.models import SqlaTable
from superset.models.dashboard import Dashboard
from superset.models.slice import Slice
from superset.sql.parse import Table
from superset.utils import json
from superset.utils.core import DatasourceType
from ..utils.database import get_example_database # noqa: TID252
from .helpers import (
get_slice_json,
get_table_connector_registry,
merge_slice,
update_slice_ids,
)
DASH_SLUG = "supported_charts_dash"
logger = logging.getLogger(__name__)
def create_slices(tbl: SqlaTable) -> list[Slice]:
slice_kwargs = {
"datasource_id": tbl.id,
"datasource_type": DatasourceType.TABLE,
"owners": [],
}
defaults = {
"limit": "25",
"time_range": "100 years ago : now",
"granularity_sqla": "ds",
"row_limit": "50000",
"viz_type": "echarts_timeseries_bar",
}
slices = [
# ---------------------
# TIER 1
# ---------------------
Slice(
**slice_kwargs,
slice_name="Big Number",
viz_type="big_number_total",
params=get_slice_json(
defaults,
viz_type="big_number_total",
metric="sum__num",
),
),
Slice(
**slice_kwargs,
slice_name="Big Number with Trendline",
viz_type="big_number",
params=get_slice_json(
defaults,
viz_type="big_number",
metric="sum__num",
),
),
Slice(
**slice_kwargs,
slice_name="Table",
viz_type="table",
params=get_slice_json(
defaults,
viz_type="table",
metrics=["sum__num"],
groupby=["gender"],
),
),
Slice(
**slice_kwargs,
slice_name="Pivot Table",
viz_type="pivot_table_v2",
params=get_slice_json(
defaults,
viz_type="pivot_table_v2",
metrics=["sum__num"],
groupbyColumns=["gender"],
groupbyRows=["state"],
),
),
Slice(
**slice_kwargs,
slice_name="Line Chart",
viz_type="echarts_timeseries_line",
params=get_slice_json(
defaults,
viz_type="echarts_timeseries_line",
metrics=["sum__num"],
groupby=["gender"],
),
),
Slice(
**slice_kwargs,
slice_name="Area Chart",
viz_type="echarts_area",
params=get_slice_json(
defaults,
viz_type="echarts_area",
metrics=["sum__num"],
groupby=["gender"],
),
),
Slice(
**slice_kwargs,
slice_name="Bar Chart",
viz_type="echarts_timeseries_bar",
params=get_slice_json(
defaults,
viz_type="echarts_timeseries_bar",
metrics=["sum__num"],
groupby=["gender"],
),
),
Slice(
**slice_kwargs,
slice_name="Scatter Chart",
viz_type="echarts_timeseries_scatter",
params=get_slice_json(
defaults,
viz_type="echarts_timeseries_scatter",
metrics=["sum__num"],
groupby=["gender"],
),
),
Slice(
**slice_kwargs,
slice_name="Pie Chart",
viz_type="pie",
params=get_slice_json(
defaults,
viz_type="pie",
metric="sum__num",
groupby=["gender"],
adhoc_filters=[],
),
),
# ---------------------
# TIER 2
# ---------------------
Slice(
**slice_kwargs,
slice_name="Box Plot Chart",
viz_type="box_plot",
params=get_slice_json(
defaults,
viz_type="box_plot",
metrics=["sum__num"],
groupby=["gender"],
columns=["name"],
),
),
Slice(
**slice_kwargs,
slice_name="Bubble Chart",
viz_type="bubble",
params=get_slice_json(
defaults,
viz_type="bubble",
size="count",
series="state",
entity="gender",
x={
"expressionType": "SIMPLE",
"column": {
"column_name": "num_boys",
},
"aggregate": "SUM",
"label": "SUM(num_boys)",
"optionName": "metric_353e7rjj84m_cirsi2o2s1",
},
y={
"expressionType": "SIMPLE",
"column": {
"column_name": "num_girls",
},
"aggregate": "SUM",
"label": "SUM(num_girls)",
"optionName": "metric_n8rvsr2ysmr_cb3eybtoe5f",
},
),
),
Slice(
**slice_kwargs,
slice_name="Calendar Heatmap",
viz_type="cal_heatmap",
params=get_slice_json(
defaults,
viz_type="cal_heatmap",
metrics=["sum__num"],
time_range="2008-01-01 : 2008-02-01",
),
),
Slice(
**slice_kwargs,
slice_name="Chord Chart",
viz_type="chord",
params=get_slice_json(
defaults,
viz_type="chord",
metric="sum__num",
groupby="gender",
columns="state",
),
),
Slice(
**slice_kwargs,
slice_name="Percent Change Chart",
viz_type="compare",
params=get_slice_json(
defaults,
viz_type="compare",
metrics=["sum__num"],
groupby=["gender"],
),
),
Slice(
**slice_kwargs,
slice_name="Generic Chart",
viz_type="echarts_timeseries",
params=get_slice_json(
defaults,
viz_type="echarts_timeseries",
metrics=["sum__num"],
groupby=["gender"],
),
),
Slice(
**slice_kwargs,
slice_name="Smooth Line Chart",
viz_type="echarts_timeseries_smooth",
params=get_slice_json(
defaults,
viz_type="echarts_timeseries_smooth",
metrics=["sum__num"],
groupby=["gender"],
),
),
Slice(
**slice_kwargs,
slice_name="Step Line Chart",
viz_type="echarts_timeseries_step",
params=get_slice_json(
defaults,
viz_type="echarts_timeseries_step",
metrics=["sum__num"],
groupby=["gender"],
),
),
Slice(
**slice_kwargs,
slice_name="Funnel Chart",
viz_type="funnel",
params=get_slice_json(
defaults,
viz_type="funnel",
metric="sum__num",
groupby=["gender"],
),
),
Slice(
**slice_kwargs,
slice_name="Gauge Chart",
viz_type="gauge_chart",
params=get_slice_json(
defaults,
viz_type="gauge_chart",
metric="sum__num",
groupby=["gender"],
),
),
Slice(
**slice_kwargs,
slice_name="Heatmap Chart",
viz_type="heatmap_v2",
params=get_slice_json(
defaults,
viz_type="heatmap_v2",
metric="sum__num",
x_axis="gender",
groupby="state",
sort_x_axis="value_asc",
sort_y_axis="value_asc",
),
),
Slice(
**slice_kwargs,
slice_name="Line Chart",
viz_type="echarts_timeseries_line",
params=get_slice_json(
defaults,
viz_type="echarts_timeseries_line",
metrics=["sum__num"],
groupby=["gender"],
),
),
Slice(
**slice_kwargs,
slice_name="Mixed Chart",
viz_type="mixed_timeseries",
params=get_slice_json(
defaults,
viz_type="mixed_timeseries",
metrics=["sum__num"],
groupby=["gender"],
metrics_b=["sum__num"],
groupby_b=["state"],
),
),
Slice(
**slice_kwargs,
slice_name="Partition Chart",
viz_type="partition",
params=get_slice_json(
defaults,
viz_type="partition",
metrics=["sum__num"],
groupby=["gender"],
),
),
Slice(
**slice_kwargs,
slice_name="Radar Chart",
viz_type="radar",
params=get_slice_json(
defaults,
viz_type="radar",
metrics=[
"sum__num",
"count",
{
"expressionType": "SIMPLE",
"column": {
"column_name": "num_boys",
},
"aggregate": "SUM",
"label": "SUM(num_boys)",
"optionName": "metric_353e7rjj84m_cirsi2o2s1",
},
],
groupby=["gender"],
),
),
Slice(
**slice_kwargs,
slice_name="Nightingale Chart",
viz_type="rose",
params=get_slice_json(
defaults,
viz_type="rose",
metrics=["sum__num"],
groupby=["gender"],
),
),
Slice(
**slice_kwargs,
slice_name="Sankey Chart",
viz_type="sankey_v2",
params=get_slice_json(
defaults,
viz_type="sankey_v2",
metric="sum__num",
source="gender",
target="state",
),
),
Slice(
**slice_kwargs,
slice_name="Sunburst Chart",
viz_type="sunburst_v2",
params=get_slice_json(
defaults,
viz_type="sunburst_v2",
metric="sum__num",
columns=["gender", "state"],
),
),
Slice(
**slice_kwargs,
slice_name="Treemap V2 Chart",
viz_type="treemap_v2",
params=get_slice_json(
defaults,
viz_type="treemap_v2",
metric="sum__num",
groupby=["gender"],
),
),
Slice(
**slice_kwargs,
slice_name="Word Cloud Chart",
viz_type="word_cloud",
params=get_slice_json(
defaults,
viz_type="word_cloud",
metric="sum__num",
series="state",
),
),
]
for slc in slices:
merge_slice(slc)
return slices
def load_supported_charts_dashboard() -> None:
"""Loading a dashboard featuring supported charts"""
database = get_example_database()
with database.get_sqla_engine() as engine:
schema = inspect(engine).default_schema_name
tbl_name = "birth_names"
table_exists = database.has_table(Table(tbl_name, schema))
if table_exists:
table = get_table_connector_registry()
obj = (
db.session.query(table)
.filter_by(table_name=tbl_name, schema=schema)
.first()
)
create_slices(obj)
logger.debug("Creating the dashboard")
db.session.expunge_all()
dash = db.session.query(Dashboard).filter_by(slug=DASH_SLUG).first()
if not dash:
dash = Dashboard()
js = textwrap.dedent(
"""
{
"CHART-1": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-1",
"ROW-1"
],
"id": "CHART-1",
"meta": {
"chartId": 1,
"height": 50,
"sliceName": "Big Number",
"width": 4
},
"type": "CHART"
},
"CHART-2": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-1",
"ROW-1"
],
"id": "CHART-2",
"meta": {
"chartId": 2,
"height": 50,
"sliceName": "Big Number with Trendline",
"width": 4
},
"type": "CHART"
},
"CHART-3": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-1",
"ROW-1"
],
"id": "CHART-3",
"meta":{
"chartId": 3,
"height": 50,
"sliceName": "Table",
"width": 4
},
"type": "CHART"
},
"CHART-4": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-1",
"ROW-2"
],
"id": "CHART-4",
"meta": {
"chartId": 4,
"height": 50,
"sliceName": "Pivot Table",
"width": 4
},
"type": "CHART"
},
"CHART-5": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-1",
"ROW-2"
],
"id": "CHART-5",
"meta": {
"chartId": 5,
"height": 50,
"sliceName": "Line Chart",
"width": 4
},
"type": "CHART"
},
"CHART-6": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-1",
"ROW-2"
],
"id": "CHART-6",
"meta": {
"chartId": 6,
"height": 50,
"sliceName": "Bar Chart",
"width": 4
},
"type": "CHART"
},
"CHART-7": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-1",
"ROW-3"
],
"id": "CHART-7",
"meta": {
"chartId": 7,
"height": 50,
"sliceName": "Area Chart",
"width": 4
},
"type": "CHART"
},
"CHART-8": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-1",
"ROW-3"
],
"id": "CHART-8",
"meta": {
"chartId": 8,
"height": 50,
"sliceName": "Scatter Chart",
"width": 4
},
"type": "CHART"
},
"CHART-9": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-1",
"ROW-3"
],
"id": "CHART-9",
"meta": {
"chartId": 9,
"height": 50,
"sliceName": "Pie Chart",
"width": 4
},
"type": "CHART"
},
"CHART-11": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-1",
"ROW-4"
],
"id": "CHART-11",
"meta": {
"chartId": 11,
"height": 50,
"sliceName": "% Rural",
"width": 4
},
"type": "CHART"
},
"CHART-12": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-5"
],
"id": "CHART-12",
"meta": {
"chartId": 12,
"height": 50,
"sliceName": "Box Plot Chart",
"width": 4
},
"type": "CHART"
},
"CHART-13": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-5"
],
"id": "CHART-13",
"meta": {
"chartId": 13,
"height": 50,
"sliceName": "Bubble Chart",
"width": 4
},
"type": "CHART"
},
"CHART-14": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-5"
],
"id": "CHART-14",
"meta": {
"chartId": 14,
"height": 50,
"sliceName": "Calendar Heatmap",
"width": 4
},
"type": "CHART"
},
"CHART-15": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-6"
],
"id": "CHART-15",
"meta": {
"chartId": 15,
"height": 50,
"sliceName": "Chord Chart",
"width": 4
},
"type": "CHART"
},
"CHART-16": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-6"
],
"id": "CHART-16",
"meta": {
"chartId": 16,
"height": 50,
"sliceName": "Percent Change Chart",
"width": 4
},
"type": "CHART"
},
"CHART-17": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-6"
],
"id": "CHART-17",
"meta": {
"chartId": 17,
"height": 50,
"sliceName": "Generic Chart",
"width": 4
},
"type": "CHART"
},
"CHART-18": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-7"
],
"id": "CHART-18",
"meta": {
"chartId": 18,
"height": 50,
"sliceName": "Smooth Line Chart",
"width": 4
},
"type": "CHART"
},
"CHART-19": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-7"
],
"id": "CHART-19",
"meta": {
"chartId": 19,
"height": 50,
"sliceName": "Step Line Chart",
"width": 4
},
"type": "CHART"
},
"CHART-20": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-7"
],
"id": "CHART-20",
"meta": {
"chartId": 20,
"height": 50,
"sliceName": "Funnel Chart",
"width": 4
},
"type": "CHART"
},
"CHART-21": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-8"
],
"id": "CHART-21",
"meta": {
"chartId": 21,
"height": 50,
"sliceName": "Gauge Chart",
"width": 4
},
"type": "CHART"
},
"CHART-22": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-8"
],
"id": "CHART-22",
"meta": {
"chartId": 22,
"height": 50,
"sliceName": "Heatmap Chart",
"width": 4
},
"type": "CHART"
},
"CHART-23": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-8"
],
"id": "CHART-23",
"meta": {
"chartId": 23,
"height": 50,
"sliceName": "Line Chart",
"width": 4
},
"type": "CHART"
},
"CHART-24": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-9"
],
"id": "CHART-24",
"meta": {
"chartId": 24,
"height": 50,
"sliceName": "Mixed Chart",
"width": 4
},
"type": "CHART"
},
"CHART-25": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-9"
],
"id": "CHART-25",
"meta": {
"chartId": 25,
"height": 50,
"sliceName": "Partition Chart",
"width": 4
},
"type": "CHART"
},
"CHART-26": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-9"
],
"id": "CHART-26",
"meta": {
"chartId": 26,
"height": 50,
"sliceName": "Radar Chart",
"width": 4
},
"type": "CHART"
},
"CHART-27": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-10"
],
"id": "CHART-27",
"meta": {
"chartId": 27,
"height": 50,
"sliceName": "Nightingale Chart",
"width": 4
},
"type": "CHART"
},
"CHART-28": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-10"
],
"id": "CHART-28",
"meta": {
"chartId": 28,
"height": 50,
"sliceName": "Sankey Chart",
"width": 4
},
"type": "CHART"
},
"CHART-29": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-10"
],
"id": "CHART-29",
"meta": {
"chartId": 29,
"height": 50,
"sliceName": "Sunburst Chart",
"width": 4
},
"type": "CHART"
},
"CHART-30": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-11"
],
"id": "CHART-30",
"meta": {
"chartId": 30,
"height": 50,
"sliceName": "Treemap Chart",
"width": 4
},
"type": "CHART"
},
"CHART-31": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-11"
],
"id": "CHART-31",
"meta": {
"chartId": 31,
"height": 50,
"sliceName": "Treemap V2 Chart",
"width": 4
},
"type": "CHART"
},
"CHART-32": {
"children": [],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2",
"ROW-11"
],
"id": "CHART-32",
"meta": {
"chartId": 32,
"height": 50,
"sliceName": "Word Cloud Chart",
"width": 4
},
"type": "CHART"
},
"GRID_ID": {
"children": [],
"id": "GRID_ID",
"type": "GRID"
},
"HEADER_ID": {
"id": "HEADER_ID",
"meta": {
"text": "Supported Charts"
},
"type": "HEADER"
},
"TABS-TOP": {
"children": [
"TAB-TOP-1",
"TAB-TOP-2"
],
"id": "TABS-TOP",
"type": "TABS"
},
"TAB-TOP-1": {
"id": "TAB_TOP-1",
"type": "TAB",
"meta": {
"text": "Tier 1",
"defaultText": "Tab title",
"placeholder": "Tab title"
},
"parents": [
"ROOT_ID",
"TABS-TOP"
],
"children": [
"ROW-1",
"ROW-2",
"ROW-3",
"ROW-4"
]
},
"TAB-TOP-2": {
"id": "TAB_TOP-2",
"type": "TAB",
"meta": {
"text": "Tier 2",
"defaultText": "Tab title",
"placeholder": "Tab title"
},
"parents": [
"ROOT_ID",
"TABS-TOP"
],
"children": [
"ROW-5",
"ROW-6",
"ROW-7",
"ROW-8",
"ROW-9",
"ROW-10",
"ROW-11"
]
},
"ROOT_ID": {
"children": [
"TABS-TOP"
],
"id": "ROOT_ID",
"type": "ROOT"
},
"ROW-1": {
"children": [
"CHART-1",
"CHART-2",
"CHART-3"
],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-1"
],
"id": "ROW-1",
"meta": {
"background": "BACKGROUND_TRANSPARENT"
},
"type": "ROW"
},
"ROW-2": {
"children": [
"CHART-4",
"CHART-5",
"CHART-6"
],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-1"
],
"id": "ROW-2",
"meta": {
"background": "BACKGROUND_TRANSPARENT"
},
"type": "ROW"
},
"ROW-3": {
"children": [
"CHART-7",
"CHART-8",
"CHART-9"
],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-1"
],
"id": "ROW-3",
"meta": {
"background": "BACKGROUND_TRANSPARENT"
},
"type": "ROW"
},
"ROW-4": {
"children": [
"CHART-10",
"CHART-11"
],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-1"
],
"id": "ROW-4",
"meta": {
"background": "BACKGROUND_TRANSPARENT"
},
"type": "ROW"
},
"ROW-5": {
"children": [
"CHART-12",
"CHART-13",
"CHART-14"
],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2"
],
"id": "ROW-5",
"meta": {
"background": "BACKGROUND_TRANSPARENT"
},
"type": "ROW"
},
"ROW-6": {
"children": [
"CHART-15",
"CHART-16",
"CHART-17"
],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2"
],
"id": "ROW-6",
"meta": {
"background": "BACKGROUND_TRANSPARENT"
},
"type": "ROW"
},
"ROW-7": {
"children": [
"CHART-18",
"CHART-19",
"CHART-20"
],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2"
],
"id": "ROW-7",
"meta": {
"background": "BACKGROUND_TRANSPARENT"
},
"type": "ROW"
},
"ROW-8": {
"children": [
"CHART-21",
"CHART-22",
"CHART-23"
],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2"
],
"id": "ROW-8",
"meta": {
"background": "BACKGROUND_TRANSPARENT"
},
"type": "ROW"
},
"ROW-9": {
"children": [
"CHART-24",
"CHART-25",
"CHART-26"
],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2"
],
"id": "ROW-9",
"meta": {
"background": "BACKGROUND_TRANSPARENT"
},
"type": "ROW"
},
"ROW-10": {
"children": [
"CHART-27",
"CHART-28",
"CHART-29"
],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2"
],
"id": "ROW-10",
"meta": {
"background": "BACKGROUND_TRANSPARENT"
},
"type": "ROW"
},
"ROW-11": {
"children": [
"CHART-30",
"CHART-31",
"CHART-32"
],
"parents": [
"ROOT_ID",
"TABS-TOP",
"TAB-TOP-2"
],
"id": "ROW-11",
"meta": {
"background": "BACKGROUND_TRANSPARENT"
},
"type": "ROW"
},
"DASHBOARD_VERSION_KEY": "v2"
}
"""
)
pos = json.loads(js)
dash.slices = update_slice_ids(pos)
dash.dashboard_title = "Supported Charts Dashboard"
dash.position_json = json.dumps(pos, indent=2)
dash.slug = DASH_SLUG