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# 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-statements
import json
from superset import db
from superset.models.dashboard import Dashboard
from superset.models.slice import Slice
from .helpers import (
get_slice_json,
get_table_connector_registry,
merge_slice,
update_slice_ids,
)
COLOR_RED = {"r": 205, "g": 0, "b": 3, "a": 0.82}
POSITION_JSON = """\
{
"CHART-3afd9d70": {
"meta": {
"chartId": 66,
"width": 6,
"height": 50
},
"type": "CHART",
"id": "CHART-3afd9d70",
"children": []
},
"CHART-2ee7fa5e": {
"meta": {
"chartId": 67,
"width": 6,
"height": 50
},
"type": "CHART",
"id": "CHART-2ee7fa5e",
"children": []
},
"CHART-201f7715": {
"meta": {
"chartId": 68,
"width": 6,
"height": 50
},
"type": "CHART",
"id": "CHART-201f7715",
"children": []
},
"CHART-d02f6c40": {
"meta": {
"chartId": 69,
"width": 6,
"height": 50
},
"type": "CHART",
"id": "CHART-d02f6c40",
"children": []
},
"CHART-2673431d": {
"meta": {
"chartId": 70,
"width": 6,
"height": 50
},
"type": "CHART",
"id": "CHART-2673431d",
"children": []
},
"CHART-85265a60": {
"meta": {
"chartId": 71,
"width": 6,
"height": 50
},
"type": "CHART",
"id": "CHART-85265a60",
"children": []
},
"CHART-2b87513c": {
"meta": {
"chartId": 72,
"width": 6,
"height": 50
},
"type": "CHART",
"id": "CHART-2b87513c",
"children": []
},
"GRID_ID": {
"type": "GRID",
"id": "GRID_ID",
"children": [
"ROW-a7b16cb5",
"ROW-72c218a5",
"ROW-957ba55b",
"ROW-af041bdd"
]
},
"HEADER_ID": {
"meta": {
"text": "deck.gl Demo"
},
"type": "HEADER",
"id": "HEADER_ID"
},
"ROOT_ID": {
"type": "ROOT",
"id": "ROOT_ID",
"children": [
"GRID_ID"
]
},
"ROW-72c218a5": {
"meta": {
"background": "BACKGROUND_TRANSPARENT"
},
"type": "ROW",
"id": "ROW-72c218a5",
"children": [
"CHART-d02f6c40",
"CHART-201f7715"
]
},
"ROW-957ba55b": {
"meta": {
"background": "BACKGROUND_TRANSPARENT"
},
"type": "ROW",
"id": "ROW-957ba55b",
"children": [
"CHART-2673431d",
"CHART-85265a60"
]
},
"ROW-a7b16cb5": {
"meta": {
"background": "BACKGROUND_TRANSPARENT"
},
"type": "ROW",
"id": "ROW-a7b16cb5",
"children": [
"CHART-3afd9d70",
"CHART-2ee7fa5e"
]
},
"ROW-af041bdd": {
"meta": {
"background": "BACKGROUND_TRANSPARENT"
},
"type": "ROW",
"id": "ROW-af041bdd",
"children": [
"CHART-2b87513c"
]
},
"DASHBOARD_VERSION_KEY": "v2"
}"""
def load_deck_dash() -> None:
print("Loading deck.gl dashboard")
slices = []
table = get_table_connector_registry()
tbl = db.session.query(table).filter_by(table_name="long_lat").first()
slice_data = {
"spatial": {"type": "latlong", "lonCol": "LON", "latCol": "LAT"},
"color_picker": COLOR_RED,
"datasource": "5__table",
"granularity_sqla": None,
"groupby": [],
"mapbox_style": "mapbox://styles/mapbox/light-v9",
"multiplier": 10,
"point_radius_fixed": {"type": "metric", "value": "count"},
"point_unit": "square_m",
"min_radius": 1,
"max_radius": 250,
"row_limit": 5000,
"time_range": " : ",
"time_range_endpoints": ["inclusive", "exclusive"],
"size": "count",
"time_grain_sqla": None,
"viewport": {
"bearing": -4.952916738791771,
"latitude": 37.78926922909199,
"longitude": -122.42613341901688,
"pitch": 4.750411100577438,
"zoom": 12.729132798697304,
},
"viz_type": "deck_scatter",
}
print("Creating Scatterplot slice")
slc = Slice(
slice_name="Scatterplot",
viz_type="deck_scatter",
datasource_type="table",
datasource_id=tbl.id,
params=get_slice_json(slice_data),
)
merge_slice(slc)
slices.append(slc)
slice_data = {
"point_unit": "square_m",
"row_limit": 5000,
"spatial": {"type": "latlong", "lonCol": "LON", "latCol": "LAT"},
"mapbox_style": "mapbox://styles/mapbox/dark-v9",
"granularity_sqla": None,
"size": "count",
"viz_type": "deck_screengrid",
"time_range": "No filter",
"point_radius": "Auto",
"color_picker": {"a": 1, "r": 14, "b": 0, "g": 255},
"grid_size": 20,
"viewport": {
"zoom": 14.161641703941438,
"longitude": -122.41827069521386,
"bearing": -4.952916738791771,
"latitude": 37.76024135844065,
"pitch": 4.750411100577438,
},
"point_radius_fixed": {"type": "fix", "value": 2000},
"datasource": "5__table",
"time_grain_sqla": None,
"groupby": [],
}
print("Creating Screen Grid slice")
slc = Slice(
slice_name="Screen grid",
viz_type="deck_screengrid",
datasource_type="table",
datasource_id=tbl.id,
params=get_slice_json(slice_data),
)
merge_slice(slc)
slices.append(slc)
slice_data = {
"spatial": {"type": "latlong", "lonCol": "LON", "latCol": "LAT"},
"row_limit": 5000,
"mapbox_style": "mapbox://styles/mapbox/streets-v9",
"granularity_sqla": None,
"size": "count",
"viz_type": "deck_hex",
"time_range": "No filter",
"point_radius_unit": "Pixels",
"point_radius": "Auto",
"color_picker": {"a": 1, "r": 14, "b": 0, "g": 255},
"grid_size": 40,
"extruded": True,
"viewport": {
"latitude": 37.789795085160335,
"pitch": 54.08961642447763,
"zoom": 13.835465702403654,
"longitude": -122.40632230075536,
"bearing": -2.3984797349335167,
},
"point_radius_fixed": {"type": "fix", "value": 2000},
"datasource": "5__table",
"time_grain_sqla": None,
"groupby": [],
}
print("Creating Hex slice")
slc = Slice(
slice_name="Hexagons",
viz_type="deck_hex",
datasource_type="table",
datasource_id=tbl.id,
params=get_slice_json(slice_data),
)
merge_slice(slc)
slices.append(slc)
slice_data = {
"autozoom": False,
"spatial": {"type": "latlong", "lonCol": "LON", "latCol": "LAT"},
"row_limit": 5000,
"mapbox_style": "mapbox://styles/mapbox/satellite-streets-v9",
"granularity_sqla": None,
"size": "count",
"viz_type": "deck_grid",
"point_radius_unit": "Pixels",
"point_radius": "Auto",
"time_range": "No filter",
"color_picker": {"a": 1, "r": 14, "b": 0, "g": 255},
"grid_size": 120,
"extruded": True,
"viewport": {
"longitude": -122.42066918995666,
"bearing": 155.80099696026355,
"zoom": 12.699690845482069,
"latitude": 37.7942314882596,
"pitch": 53.470800300695146,
},
"point_radius_fixed": {"type": "fix", "value": 2000},
"datasource": "5__table",
"time_grain_sqla": None,
"groupby": [],
}
print("Creating Grid slice")
slc = Slice(
slice_name="Grid",
viz_type="deck_grid",
datasource_type="table",
datasource_id=tbl.id,
params=get_slice_json(slice_data),
)
merge_slice(slc)
slices.append(slc)
polygon_tbl = (
db.session.query(table).filter_by(table_name="sf_population_polygons").first()
)
slice_data = {
"datasource": "11__table",
"viz_type": "deck_polygon",
"slice_id": 41,
"granularity_sqla": None,
"time_grain_sqla": None,
"time_range": " : ",
"line_column": "contour",
"metric": {
"aggregate": "SUM",
"column": {
"column_name": "population",
"description": None,
"expression": None,
"filterable": True,
"groupby": True,
"id": 1332,
"is_dttm": False,
"optionName": "_col_population",
"python_date_format": None,
"type": "BIGINT",
"verbose_name": None,
},
"expressionType": "SIMPLE",
"hasCustomLabel": True,
"label": "Population",
"optionName": "metric_t2v4qbfiz1_w6qgpx4h2p",
"sqlExpression": None,
},
"line_type": "json",
"linear_color_scheme": "oranges",
"mapbox_style": "mapbox://styles/mapbox/light-v9",
"viewport": {
"longitude": -122.43388541747726,
"latitude": 37.752020331384834,
"zoom": 11.133995608594631,
"bearing": 37.89506450385642,
"pitch": 60,
"width": 667,
"height": 906,
"altitude": 1.5,
"maxZoom": 20,
"minZoom": 0,
"maxPitch": 60,
"minPitch": 0,
"maxLatitude": 85.05113,
"minLatitude": -85.05113,
},
"reverse_long_lat": False,
"fill_color_picker": {"r": 3, "g": 65, "b": 73, "a": 1},
"stroke_color_picker": {"r": 0, "g": 122, "b": 135, "a": 1},
"filled": True,
"stroked": False,
"extruded": True,
"multiplier": 0.1,
"point_radius_fixed": {
"type": "metric",
"value": {
"aggregate": None,
"column": None,
"expressionType": "SQL",
"hasCustomLabel": None,
"label": "Density",
"optionName": "metric_c5rvwrzoo86_293h6yrv2ic",
"sqlExpression": "SUM(population)/SUM(area)",
},
},
"js_columns": [],
"js_data_mutator": "",
"js_tooltip": "",
"js_onclick_href": "",
"legend_format": ".1s",
"legend_position": "tr",
}
print("Creating Polygon slice")
slc = Slice(
slice_name="Polygons",
viz_type="deck_polygon",
datasource_type="table",
datasource_id=polygon_tbl.id,
params=get_slice_json(slice_data),
)
merge_slice(slc)
slices.append(slc)
slice_data = {
"datasource": "10__table",
"viz_type": "deck_arc",
"slice_id": 42,
"granularity_sqla": None,
"time_grain_sqla": None,
"time_range": " : ",
"start_spatial": {
"type": "latlong",
"latCol": "LATITUDE",
"lonCol": "LONGITUDE",
},
"end_spatial": {
"type": "latlong",
"latCol": "LATITUDE_DEST",
"lonCol": "LONGITUDE_DEST",
},
"row_limit": 5000,
"mapbox_style": "mapbox://styles/mapbox/light-v9",
"viewport": {
"altitude": 1.5,
"bearing": 8.546256357301871,
"height": 642,
"latitude": 44.596651438714254,
"longitude": -91.84340711201104,
"maxLatitude": 85.05113,
"maxPitch": 60,
"maxZoom": 20,
"minLatitude": -85.05113,
"minPitch": 0,
"minZoom": 0,
"pitch": 60,
"width": 997,
"zoom": 2.929837070560775,
},
"color_picker": {"r": 0, "g": 122, "b": 135, "a": 1},
"stroke_width": 1,
}
print("Creating Arc slice")
slc = Slice(
slice_name="Arcs",
viz_type="deck_arc",
datasource_type="table",
datasource_id=db.session.query(table)
.filter_by(table_name="flights")
.first()
.id,
params=get_slice_json(slice_data),
)
merge_slice(slc)
slices.append(slc)
slice_data = {
"datasource": "12__table",
"slice_id": 43,
"viz_type": "deck_path",
"time_grain_sqla": None,
"time_range": " : ",
"line_column": "path_json",
"line_type": "json",
"row_limit": 5000,
"mapbox_style": "mapbox://styles/mapbox/light-v9",
"viewport": {
"longitude": -122.18885402582598,
"latitude": 37.73671752604488,
"zoom": 9.51847667620428,
"bearing": 0,
"pitch": 0,
"width": 669,
"height": 1094,
"altitude": 1.5,
"maxZoom": 20,
"minZoom": 0,
"maxPitch": 60,
"minPitch": 0,
"maxLatitude": 85.05113,
"minLatitude": -85.05113,
},
"color_picker": {"r": 0, "g": 122, "b": 135, "a": 1},
"line_width": 150,
"reverse_long_lat": False,
"js_columns": ["color"],
"js_data_mutator": "data => data.map(d => ({\n"
" ...d,\n"
" color: colors.hexToRGB(d.extraProps.color)\n"
"}));",
"js_tooltip": "",
"js_onclick_href": "",
}
print("Creating Path slice")
slc = Slice(
slice_name="Path",
viz_type="deck_path",
datasource_type="table",
datasource_id=db.session.query(table)
.filter_by(table_name="bart_lines")
.first()
.id,
params=get_slice_json(slice_data),
)
merge_slice(slc)
slices.append(slc)
slug = "deck"
print("Creating a dashboard")
title = "deck.gl Demo"
dash = db.session.query(Dashboard).filter_by(slug=slug).first()
if not dash:
dash = Dashboard()
dash.published = True
js = POSITION_JSON
pos = json.loads(js)
update_slice_ids(pos, slices)
dash.position_json = json.dumps(pos, indent=4)
dash.dashboard_title = title
dash.slug = slug
dash.slices = slices
db.session.merge(dash)
db.session.commit()