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chore: Create dashboard with tier 1 and tier 2 charts (#21551)
This commit is contained in:
Kamil Gabryjelski
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GitHub
GitHub
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commit
eeb979c150
@@ -21,7 +21,6 @@ from .birth_names import load_birth_names
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from .country_map import load_country_map_data
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from .css_templates import load_css_templates
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from .deck import load_deck_dash
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from .echarts_dashboard import load_echarts_dashboard
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from .energy import load_energy
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from .flights import load_flights
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from .long_lat import load_long_lat_data
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@@ -31,6 +30,7 @@ from .multiformat_time_series import load_multiformat_time_series
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from .paris import load_paris_iris_geojson
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from .random_time_series import load_random_time_series_data
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from .sf_population_polygons import load_sf_population_polygons
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from .supported_charts_dashboard import load_supported_charts_dashboard
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from .tabbed_dashboard import load_tabbed_dashboard
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from .utils import load_examples_from_configs
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from .world_bank import load_world_bank_health_n_pop
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@@ -1,250 +0,0 @@
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# 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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import json
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import textwrap
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from typing import List
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from sqlalchemy import inspect
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from superset import db, security_manager
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from superset.connectors.sqla.models import SqlaTable
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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 DatasourceType
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from ..utils.database import get_example_database
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from .helpers import (
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get_slice_json,
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get_table_connector_registry,
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merge_slice,
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update_slice_ids,
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)
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DASH_SLUG = "echarts_dash"
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def create_slices(tbl: SqlaTable) -> List[Slice]:
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admin = security_manager.find_user("admin")
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slice_props = dict(
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datasource_id=tbl.id,
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datasource_type=DatasourceType.TABLE,
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owners=[admin],
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created_by=admin,
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)
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defaults = {
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"limit": "25",
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"time_range": "100 years ago : now",
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"granularity_sqla": "ds",
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"groupby": ["gender"],
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"row_limit": "50000",
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"viz_type": "echarts_timeseries_bar",
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}
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slices = [
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Slice(
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**slice_props,
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slice_name="Time-Series Bar Chart V2",
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viz_type="echarts_timeseries_bar",
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params=get_slice_json(
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defaults,
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adhoc_filters=[
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{
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"clause": "WHERE",
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"expressionType": "SIMPLE",
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"filterOptionName": "filter_i7pmq9ob0vg_lvnj4s14yt",
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"comparator": "10000",
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"operator": ">",
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"subject": "num_boys",
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}
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],
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viz_type="dist_bar",
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metrics=["sum__num"],
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groupby=["gender"],
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),
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),
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]
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for slc in slices:
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merge_slice(slc)
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return slices
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def load_echarts_dashboard() -> None:
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"""Loading a dashboard featuring EChart charts"""
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database = get_example_database()
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engine = database.get_sqla_engine()
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schema = inspect(engine).default_schema_name
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tbl_name = "birth_names"
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table_exists = database.has_table_by_name(tbl_name, schema=schema)
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if table_exists:
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table = get_table_connector_registry()
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obj = (
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db.session.query(table)
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.filter_by(table_name=tbl_name, schema=schema)
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.first()
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)
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create_slices(obj)
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print("Creating the dashboard")
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db.session.expunge_all()
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dash = db.session.query(Dashboard).filter_by(slug=DASH_SLUG).first()
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if not dash:
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dash = Dashboard()
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js = textwrap.dedent(
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"""\
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{
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"CHART-dxV7Il74hH": {
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"children": [],
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"id": "CHART-dxV7Il74hH",
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"meta": {
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"chartId": 597,
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"height": 50,
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"sliceName": "Box plot",
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"width": 6
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},
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"type": "CHART"
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},
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"CHART-YyHWQacdcj": {
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"children": [],
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"id": "CHART-YyHWQacdcj",
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"meta": {
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"chartId": 15,
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"height": 50,
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"sliceName": "Participants",
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"width": 6
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},
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"type": "CHART"
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},
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"CHART-oWKBOJ6Ydh": {
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"children": [],
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"id": "CHART-oWKBOJ6Ydh",
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"meta":{
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"chartId": 16,
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"height": 50,
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"sliceName": "Genders",
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"width": 6
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},
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"type": "CHART"
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},
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"CHART-06Kg-rUggO": {
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"children": [],
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"id": "CHART-06Kg-rUggO",
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"meta": {
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"chartId": 617,
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"height": 50,
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"sliceName": "Number of Girls",
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"width": 6
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},
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"type": "CHART"
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},
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"CHART--wEhS-MDSg": {
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"children": [],
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"id": "CHART--wEhS-MDS",
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"meta": {
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"chartId": 2,
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"height": 50,
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"sliceName": "Energy Force Layout",
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"width": 6
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},
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"type": "CHART"
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},
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"CHART--LXvS-RDSu": {
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"children": [],
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"id": "CHART--LXvS-RDSu",
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"meta": {
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"chartId": 398,
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"height": 50,
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"sliceName": "Time-Series Bar Chart V2",
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"width": 6
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},
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"type": "CHART"
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},
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"GRID_ID": {
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"children": [
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"ROW-SytNzNA4X",
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"ROW-HkFFEzVRVm",
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"ROW-BytNzNA4Y"
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],
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"id": "GRID_ID",
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"type": "GRID"
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},
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"HEADER_ID": {
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"id": "HEADER_ID",
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"meta": {
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"text": "ECharts Dashboard"
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},
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"type": "HEADER"
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},
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"ROOT_ID": {
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"children": [
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"GRID_ID"
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],
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"id": "ROOT_ID",
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"type": "ROOT"
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},
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"ROW-HkFFEzVRVm": {
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"children": [
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"CHART-dxV7Il74hH",
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"CHART-oWKBOJ6Ydh"
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],
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"id": "ROW-HkFFEzVRVm",
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"meta": {
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"background": "BACKGROUND_TRANSPARENT"
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},
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"type": "ROW"
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},
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"ROW-SytNzNA4X": {
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"children": [
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"CHART-06Kg-rUggO",
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"CHART-YyHWQacdcj"
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],
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"id": "ROW-SytNzNA4X",
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"meta": {
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"background": "BACKGROUND_TRANSPARENT"
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},
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"type": "ROW"
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},
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"ROW-BytNzNA4Y": {
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"children": [
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"CHART--wEhS-MDSg",
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"CHART--LXvS-RDSu"
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],
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"id": "ROW-BytNzNA4Y",
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"meta": {
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"background": "BACKGROUND_TRANSPARENT"
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},
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"type": "ROW"
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},
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"DASHBOARD_VERSION_KEY": "v2"
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}
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"""
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)
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pos = json.loads(js)
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dash.slices = update_slice_ids(pos)
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dash.dashboard_title = "ECharts Dashboard"
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dash.position_json = json.dumps(pos, indent=4)
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dash.slug = DASH_SLUG
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db.session.commit()
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1302
superset/examples/supported_charts_dashboard.py
Normal file
1302
superset/examples/supported_charts_dashboard.py
Normal file
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