mirror of https://github.com/apache/superset.git
Added Path, Polygon, and Arcs to deckGL example dashboard (#4242)
* Added Path, Polygon, and Arcs to deckGL example dashboard * reorder task * formatting... * fix flights reference * cleanup on aisle 9
This commit is contained in:
Hugh A. Miles II
Maxime Beauchemin
parent
e4a95f9428
commit
073d56cb33
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@ -136,21 +136,24 @@ def load_examples(load_test_data):
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print('Loading [Misc Charts] dashboard')
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data.load_misc_dashboard()
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print('Loading DECK.gl demo')
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data.load_deck_dash()
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print('Loading Paris geojson data')
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print('Loading [Paris GeoJson]')
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data.load_paris_iris_geojson()
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print('Loading [San Francisco population polygons]')
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data.load_sf_population_polygons()
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print('Loading [Flights data]')
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data.load_flights()
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print('Loading [BART lines]')
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data.load_bart_lines()
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if load_test_data:
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print('Loading [Unicode test data]')
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data.load_unicode_test_data()
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print('Loading flights data')
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data.load_flights()
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print('Loading bart lines data')
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data.load_bart_lines()
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print('Loading DECK.gl demo')
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data.load_deck_dash()
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@manager.option(
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@ -1433,6 +1433,194 @@ def load_deck_dash():
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merge_slice(slc)
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slices.append(slc)
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polygon_tbl = db.session.query(TBL) \
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.filter_by(table_name='sf_population_polygons').first()
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slice_data = {
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"datasource": "11__table",
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"viz_type": "deck_polygon",
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"slice_id": 41,
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"granularity_sqla": None,
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"time_grain_sqla": None,
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"since": "7 days ago",
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"until": "now",
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"line_column": "contour",
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"line_type": "json",
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"mapbox_style": "mapbox://styles/mapbox/light-v9",
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"viewport": {
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"longitude": -122.43388541747726,
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"latitude": 37.752020331384834,
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"zoom": 11.133995608594631,
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"bearing": 37.89506450385642,
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"pitch": 60,
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"width": 667,
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"height": 906,
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"altitude": 1.5,
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"maxZoom": 20,
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"minZoom": 0,
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"maxPitch": 60,
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"minPitch": 0,
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"maxLatitude": 85.05113,
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"minLatitude": -85.05113
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},
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"reverse_long_lat": False,
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"fill_color_picker": {
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"r": 3,
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"g": 65,
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"b": 73,
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"a": 1
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},
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"stroke_color_picker": {
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"r": 0,
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"g": 122,
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"b": 135,
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"a": 1
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},
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"filled": True,
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"stroked": False,
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"extruded": True,
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"point_radius_scale": 100,
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"js_columns": [
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"population",
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"area"
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],
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"js_datapoint_mutator": "(d) => {\n d.elevation = d.extraProps.population/d.extraProps.area/10\n \
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d.fillColor = [d.extraProps.population/d.extraProps.area/60,140,0]\n \
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return d;\n}",
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"js_tooltip": "",
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"js_onclick_href": "",
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"where": "",
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"having": "",
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"filters": []
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}
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print("Creating Polygon slice")
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slc = Slice(
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slice_name="Polygons",
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viz_type='deck_polygon',
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datasource_type='table',
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datasource_id=polygon_tbl.id,
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params=get_slice_json(slice_data),
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)
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merge_slice(slc)
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slices.append(slc)
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slice_data = {
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"datasource": "10__table",
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"viz_type": "deck_arc",
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"slice_id": 42,
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"granularity_sqla": "date",
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"time_grain_sqla": "Time Column",
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"since": "2014-01-01",
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"until": "now",
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"start_spatial": {
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"type": "latlong",
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"latCol": "LATITUDE",
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"lonCol": "LONGITUDE"
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},
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"end_spatial": {
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"type": "latlong",
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"latCol": "LATITUDE_DEST",
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"lonCol": "LONGITUDE_DEST"
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},
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"row_limit": 5000,
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"mapbox_style": "mapbox://styles/mapbox/light-v9",
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"viewport": {
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"altitude": 1.5,
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"bearing": 8.546256357301871,
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"height": 642,
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"latitude": 44.596651438714254,
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"longitude": -91.84340711201104,
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"maxLatitude": 85.05113,
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"maxPitch": 60,
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"maxZoom": 20,
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"minLatitude": -85.05113,
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"minPitch": 0,
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"minZoom": 0,
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"pitch": 60,
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"width": 997,
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"zoom": 2.929837070560775
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},
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"color_picker": {
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"r": 0,
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"g": 122,
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"b": 135,
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"a": 1
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},
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"stroke_width": 1,
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"where": "",
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"having": "",
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"filters": []
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}
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print("Creating Arc slice")
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slc = Slice(
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slice_name="Arcs",
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viz_type='deck_arc',
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datasource_type='table',
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datasource_id=db.session.query(TBL).filter_by(table_name='flights').first().id,
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params=get_slice_json(slice_data),
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)
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merge_slice(slc)
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slices.append(slc)
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slice_data = {
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"datasource": "12__table",
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"slice_id": 43,
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"viz_type": "deck_path",
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"time_grain_sqla": "Time Column",
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"since": "7 days ago",
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"until": "now",
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"line_column": "path_json",
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"line_type": "json",
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"row_limit": 5000,
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"mapbox_style": "mapbox://styles/mapbox/light-v9",
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"viewport": {
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"longitude": -122.18885402582598,
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"latitude": 37.73671752604488,
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"zoom": 9.51847667620428,
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"bearing": 0,
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"pitch": 0,
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"width": 669,
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"height": 1094,
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"altitude": 1.5,
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"maxZoom": 20,
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"minZoom": 0,
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"maxPitch": 60,
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"minPitch": 0,
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"maxLatitude": 85.05113,
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"minLatitude": -85.05113
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},
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"color_picker": {
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"r": 0,
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"g": 122,
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"b": 135,
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"a": 1
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},
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"line_width": 150,
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"reverse_long_lat": False,
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"js_columns": [
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"color"
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],
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"js_datapoint_mutator": "d => {\n return {\n ...d,\n color: \
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colors.hexToRGB(d.extraProps.color),\n }\n}",
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"js_tooltip": "",
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"js_onclick_href": "",
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"where": "",
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"having": "",
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"filters": []
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}
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print("Creating Path slice")
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slc = Slice(
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slice_name="Path",
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viz_type='deck_path',
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datasource_type='table',
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datasource_id=db.session.query(TBL).filter_by(table_name='bart_lines').first().id,
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params=get_slice_json(slice_data),
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)
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merge_slice(slc)
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slices.append(slc)
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print("Creating a dashboard")
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title = "deck.gl Demo"
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dash = db.session.query(Dash).filter_by(dashboard_title=title).first()
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@ -1468,6 +1656,27 @@ def load_deck_dash():
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"size_x": 6,
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"size_y": 4,
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"slice_id": "40"
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},
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{
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"col": 1,
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"row": 4,
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"size_x": 6,
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"size_y": 4,
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"slice_id": "41"
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},
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{
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"col": 7,
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"row": 4,
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"size_x": 6,
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"size_y": 4,
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"slice_id": "42"
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},
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{
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"col": 1,
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"row": 5,
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"size_x": 6,
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"size_y": 4,
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"slice_id": "43"
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}
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]
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""")
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@ -1484,6 +1693,7 @@ def load_deck_dash():
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def load_flights():
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"""Loading random time series data from a zip file in the repo"""
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tbl_name = 'flights'
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with gzip.open(os.path.join(DATA_FOLDER, 'fligth_data.csv.gz')) as f:
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pdf = pd.read_csv(f, encoding='latin-1')
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@ -1501,7 +1711,7 @@ def load_flights():
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pdf = pdf.join(airports, on='ORIGIN_AIRPORT', rsuffix='_ORIG')
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pdf = pdf.join(airports, on='DESTINATION_AIRPORT', rsuffix='_DEST')
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pdf.to_sql(
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'flights',
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tbl_name,
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db.engine,
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if_exists='replace',
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chunksize=500,
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@ -1509,17 +1719,15 @@ def load_flights():
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'ds': DateTime,
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},
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index=False)
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print("Done loading table!")
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print("Creating table [random_time_series] reference")
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obj = db.session.query(TBL).filter_by(table_name='random_time_series').first()
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if not obj:
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obj = TBL(table_name='flights')
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obj.main_dttm_col = 'ds'
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obj.database = get_or_create_main_db()
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db.session.merge(obj)
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tbl = db.session.query(TBL).filter_by(table_name=tbl_name).first()
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if not tbl:
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tbl = TBL(table_name=tbl_name)
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tbl.description = "Random set of flights in the US"
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tbl.database = get_or_create_main_db()
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db.session.merge(tbl)
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db.session.commit()
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obj.fetch_metadata()
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tbl.fetch_metadata()
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print("Done loading table!")
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def load_paris_iris_geojson():
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