mirror of https://github.com/apache/superset.git
Adding a 'Misc Charts' dashboard as part of the examples (#1208)
This showcases some of the visualization types that were there only as slices, not as part of any dashboards.
This commit is contained in:
Maxime Beauchemin
GitHub
parent
ae54ac9d58
commit
19ab3e2fbd
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@ -105,6 +105,9 @@ def load_examples(load_test_data):
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print("Loading [Multiformat time series]")
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data.load_multiformat_time_series_data()
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print("Loading [Misc Charts] dashboard")
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data.load_misc_dashboard()
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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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@ -27,6 +27,8 @@ config = app.config
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DATA_FOLDER = os.path.join(config.get("BASE_DIR"), 'data')
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misc_dash_slices = [] # slices assembled in a "Misc Chart" dashboard
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def merge_slice(slc):
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o = db.session.query(Slice).filter_by(slice_name=slc.slice_name).first()
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@ -70,98 +72,99 @@ def load_energy():
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db.session.commit()
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tbl.fetch_metadata()
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merge_slice(
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Slice(
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slice_name="Energy Sankey",
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viz_type='sankey',
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datasource_type='table',
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datasource_id=tbl.id,
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params=textwrap.dedent("""\
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{
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"collapsed_fieldsets": "",
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"datasource_id": "3",
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"datasource_name": "energy_usage",
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"datasource_type": "table",
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"flt_col_0": "source",
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"flt_eq_0": "",
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"flt_op_0": "in",
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"groupby": [
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"source",
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"target"
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],
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"having": "",
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"metric": "sum__value",
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"row_limit": "5000",
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"slice_id": "",
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"slice_name": "Energy Sankey",
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"viz_type": "sankey",
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"where": ""
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}
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"""))
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slc = Slice(
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slice_name="Energy Sankey",
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viz_type='sankey',
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datasource_type='table',
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datasource_id=tbl.id,
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params=textwrap.dedent("""\
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{
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"collapsed_fieldsets": "",
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"datasource_id": "3",
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"datasource_name": "energy_usage",
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"datasource_type": "table",
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"flt_col_0": "source",
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"flt_eq_0": "",
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"flt_op_0": "in",
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"groupby": [
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"source",
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"target"
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],
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"having": "",
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"metric": "sum__value",
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"row_limit": "5000",
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"slice_name": "Energy Sankey",
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"viz_type": "sankey",
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"where": ""
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}
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""")
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)
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misc_dash_slices.append(slc.slice_name)
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merge_slice(slc)
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merge_slice(
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Slice(
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slice_name="Energy Force Layout",
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viz_type='directed_force',
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datasource_type='table',
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datasource_id=tbl.id,
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params=textwrap.dedent("""\
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{
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"charge": "-500",
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"collapsed_fieldsets": "",
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"datasource_id": "1",
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"datasource_name": "energy_usage",
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"datasource_type": "table",
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"flt_col_0": "source",
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"flt_eq_0": "",
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"flt_op_0": "in",
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"groupby": [
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"source",
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"target"
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],
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"having": "",
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"link_length": "200",
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"metric": "sum__value",
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"row_limit": "5000",
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"slice_id": "229",
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"slice_name": "Force",
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"viz_type": "directed_force",
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"where": ""
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}
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"""))
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slc = Slice(
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slice_name="Energy Force Layout",
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viz_type='directed_force',
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datasource_type='table',
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datasource_id=tbl.id,
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params=textwrap.dedent("""\
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{
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"charge": "-500",
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"collapsed_fieldsets": "",
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"datasource_id": "1",
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"datasource_name": "energy_usage",
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"datasource_type": "table",
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"flt_col_0": "source",
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"flt_eq_0": "",
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"flt_op_0": "in",
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"groupby": [
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"source",
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"target"
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],
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"having": "",
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"link_length": "200",
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"metric": "sum__value",
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"row_limit": "5000",
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"slice_name": "Force",
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"viz_type": "directed_force",
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"where": ""
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}
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""")
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)
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merge_slice(
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Slice(
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slice_name="Heatmap",
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viz_type='heatmap',
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datasource_type='table',
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datasource_id=tbl.id,
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params=textwrap.dedent("""\
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{
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"all_columns_x": "source",
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"all_columns_y": "target",
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"canvas_image_rendering": "pixelated",
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"collapsed_fieldsets": "",
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"datasource_id": "1",
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"datasource_name": "energy_usage",
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"datasource_type": "table",
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"flt_col_0": "source",
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"flt_eq_0": "",
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"flt_op_0": "in",
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"having": "",
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"linear_color_scheme": "blue_white_yellow",
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"metric": "sum__value",
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"normalize_across": "heatmap",
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"slice_id": "229",
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"slice_name": "Heatmap",
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"viz_type": "heatmap",
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"where": "",
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"xscale_interval": "1",
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"yscale_interval": "1"
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}
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"""))
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misc_dash_slices.append(slc.slice_name)
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merge_slice(slc)
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slc = Slice(
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slice_name="Heatmap",
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viz_type='heatmap',
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datasource_type='table',
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datasource_id=tbl.id,
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params=textwrap.dedent("""\
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{
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"all_columns_x": "source",
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"all_columns_y": "target",
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"canvas_image_rendering": "pixelated",
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"collapsed_fieldsets": "",
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"datasource_id": "1",
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"datasource_name": "energy_usage",
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"datasource_type": "table",
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"flt_col_0": "source",
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"flt_eq_0": "",
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"flt_op_0": "in",
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"having": "",
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"linear_color_scheme": "blue_white_yellow",
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"metric": "sum__value",
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"normalize_across": "heatmap",
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"slice_name": "Heatmap",
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"viz_type": "heatmap",
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"where": "",
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"xscale_interval": "1",
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"yscale_interval": "1"
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}
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""")
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)
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misc_dash_slices.append(slc.slice_name)
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merge_slice(slc)
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def load_world_bank_health_n_pop():
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@ -359,6 +362,7 @@ def load_world_bank_health_n_pop():
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secondary_metric='sum__SP_POP_TOTL',
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series="country_name",)),
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]
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misc_dash_slices.append(slices[-1].slice_name)
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for slc in slices:
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merge_slice(slc)
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@ -1008,6 +1012,7 @@ def load_long_lat_data():
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datasource_id=tbl.id,
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params=get_slice_json(slice_data),
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)
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misc_dash_slices.append(slc.slice_name)
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merge_slice(slc)
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@ -1081,10 +1086,85 @@ def load_multiformat_time_series_data():
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}
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slc = Slice(
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slice_name="Calendar Heatmap multiformat" + str(i),
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slice_name="Calendar Heatmap multiformat " + str(i),
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viz_type='cal_heatmap',
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datasource_type='table',
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datasource_id=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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misc_dash_slices.append(slc.slice_name)
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def load_misc_dashboard():
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"""Loading a dasbhoard featuring misc charts"""
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print("Creating the dashboard")
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db.session.expunge_all()
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DASH_SLUG = "misc_charts"
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dash = db.session.query(Dash).filter_by(slug=DASH_SLUG).first()
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if not dash:
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dash = Dash()
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js = textwrap.dedent("""\
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[
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{
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"col": 1,
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"row": 7,
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"size_x": 6,
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"size_y": 4,
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"slice_id": "442"
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},
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{
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"col": 1,
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"row": 2,
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"size_x": 6,
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"size_y": 5,
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"slice_id": "443"
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},
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{
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"col": 7,
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"row": 2,
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"size_x": 6,
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"size_y": 4,
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"slice_id": "444"
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},
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{
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"col": 9,
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"row": 0,
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"size_x": 4,
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"size_y": 2,
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"slice_id": "455"
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},
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{
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"col": 7,
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"row": 6,
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"size_x": 6,
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"size_y": 5,
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"slice_id": "467"
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},
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{
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"col": 1,
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"row": 0,
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"size_x": 8,
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"size_y": 2,
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"slice_id": "475"
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}
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]
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""")
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l = json.loads(js)
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slices = (
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db.session
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.query(Slice)
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.filter(Slice.slice_name.in_(misc_dash_slices))
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.all()
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)
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slices = sorted(slices, key=lambda x: x.id)
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for i, pos in enumerate(l):
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pos['slice_id'] = str(slices[i].id)
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dash.dashboard_title = "Misc Charts"
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dash.position_json = json.dumps(l, indent=4)
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dash.slug = DASH_SLUG
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dash.slices = slices
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db.session.merge(dash)
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db.session.commit()
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@ -1150,7 +1150,7 @@ class TableColumn(Model, AuditMixinNullable):
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elif tf == 'epoch_s':
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return str((dttm - datetime(1970, 1, 1)).total_seconds())
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elif tf == 'epoch_ms':
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return str((dttm - datetime(1970, 1, 1)).total_seconds()*1000.0)
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return str((dttm - datetime(1970, 1, 1)).total_seconds() * 1000.0)
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else:
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default = "'{}'".format(dttm.strftime(tf))
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iso = dttm.isoformat()
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