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synced 2024-09-12 00:29:39 -04:00
Improve code smell, use py3k super() call (#7100)
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80070d0eaf
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763db8fd76
@ -516,7 +516,7 @@ class TableViz(BaseViz):
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return fd.get('include_time')
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def query_obj(self):
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d = super(TableViz, self).query_obj()
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d = super().query_obj()
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fd = self.form_data
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if fd.get('all_columns') and (fd.get('groupby') or fd.get('metrics')):
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@ -608,7 +608,7 @@ class TimeTableViz(BaseViz):
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is_timeseries = True
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def query_obj(self):
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d = super(TimeTableViz, self).query_obj()
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d = super().query_obj()
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fd = self.form_data
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if not fd.get('metrics'):
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@ -651,7 +651,7 @@ class PivotTableViz(BaseViz):
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is_timeseries = False
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def query_obj(self):
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d = super(PivotTableViz, self).query_obj()
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d = super().query_obj()
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groupby = self.form_data.get('groupby')
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columns = self.form_data.get('columns')
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metrics = self.form_data.get('metrics')
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@ -745,7 +745,7 @@ class WordCloudViz(BaseViz):
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is_timeseries = False
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def query_obj(self):
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d = super(WordCloudViz, self).query_obj()
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d = super().query_obj()
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d['groupby'] = [self.form_data.get('series')]
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return d
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@ -830,7 +830,7 @@ class CalHeatmapViz(BaseViz):
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}
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def query_obj(self):
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d = super(CalHeatmapViz, self).query_obj()
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d = super().query_obj()
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fd = self.form_data
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d['metrics'] = fd.get('metrics')
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return d
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@ -941,7 +941,7 @@ class BubbleViz(NVD3Viz):
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def query_obj(self):
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form_data = self.form_data
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d = super(BubbleViz, self).query_obj()
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d = super().query_obj()
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d['groupby'] = [
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form_data.get('entity'),
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]
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@ -991,7 +991,7 @@ class BulletViz(NVD3Viz):
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def query_obj(self):
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form_data = self.form_data
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d = super(BulletViz, self).query_obj()
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d = super().query_obj()
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self.metric = form_data.get('metric')
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def as_strings(field):
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@ -1039,7 +1039,7 @@ class BigNumberViz(BaseViz):
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is_timeseries = True
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def query_obj(self):
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d = super(BigNumberViz, self).query_obj()
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d = super().query_obj()
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metric = self.form_data.get('metric')
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if not metric:
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raise Exception(_('Pick a metric!'))
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@ -1058,7 +1058,7 @@ class BigNumberTotalViz(BaseViz):
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is_timeseries = False
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def query_obj(self):
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d = super(BigNumberTotalViz, self).query_obj()
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d = super().query_obj()
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metric = self.form_data.get('metric')
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if not metric:
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raise Exception(_('Pick a metric!'))
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@ -1299,7 +1299,7 @@ class NVD3DualLineViz(NVD3Viz):
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is_timeseries = True
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def query_obj(self):
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d = super(NVD3DualLineViz, self).query_obj()
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d = super().query_obj()
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m1 = self.form_data.get('metric')
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m2 = self.form_data.get('metric_2')
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d['metrics'] = [m1, m2]
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@ -1383,7 +1383,7 @@ class NVD3TimePivotViz(NVD3TimeSeriesViz):
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verbose_name = _('Time Series - Period Pivot')
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def query_obj(self):
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d = super(NVD3TimePivotViz, self).query_obj()
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d = super().query_obj()
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d['metrics'] = [self.form_data.get('metric')]
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return d
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@ -1465,7 +1465,7 @@ class HistogramViz(BaseViz):
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def query_obj(self):
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"""Returns the query object for this visualization"""
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d = super(HistogramViz, self).query_obj()
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d = super().query_obj()
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d['row_limit'] = self.form_data.get(
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'row_limit', int(config.get('VIZ_ROW_LIMIT')))
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numeric_columns = self.form_data.get('all_columns_x')
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@ -1511,7 +1511,7 @@ class DistributionBarViz(DistributionPieViz):
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is_timeseries = False
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def query_obj(self):
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d = super(DistributionBarViz, self).query_obj() # noqa
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d = super().query_obj() # noqa
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fd = self.form_data
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if (
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len(d['groupby']) <
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@ -1592,7 +1592,7 @@ class SunburstViz(BaseViz):
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return json.loads(df.to_json(orient='values'))
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def query_obj(self):
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qry = super(SunburstViz, self).query_obj()
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qry = super().query_obj()
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fd = self.form_data
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qry['metrics'] = [fd['metric']]
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secondary_metric = fd.get('secondary_metric')
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@ -1611,7 +1611,7 @@ class SankeyViz(BaseViz):
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credits = '<a href="https://www.npmjs.com/package/d3-sankey">d3-sankey on npm</a>'
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def query_obj(self):
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qry = super(SankeyViz, self).query_obj()
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qry = super().query_obj()
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if len(qry['groupby']) != 2:
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raise Exception(_('Pick exactly 2 columns as [Source / Target]'))
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qry['metrics'] = [
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@ -1662,7 +1662,7 @@ class DirectedForceViz(BaseViz):
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is_timeseries = False
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def query_obj(self):
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qry = super(DirectedForceViz, self).query_obj()
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qry = super().query_obj()
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if len(self.form_data['groupby']) != 2:
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raise Exception(_("Pick exactly 2 columns to 'Group By'"))
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qry['metrics'] = [self.form_data['metric']]
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@ -1683,7 +1683,7 @@ class ChordViz(BaseViz):
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is_timeseries = False
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def query_obj(self):
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qry = super(ChordViz, self).query_obj()
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qry = super().query_obj()
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fd = self.form_data
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qry['groupby'] = [fd.get('groupby'), fd.get('columns')]
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qry['metrics'] = [utils.get_metric_name(fd.get('metric'))]
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@ -1716,7 +1716,7 @@ class CountryMapViz(BaseViz):
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credits = 'From bl.ocks.org By john-guerra'
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def query_obj(self):
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qry = super(CountryMapViz, self).query_obj()
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qry = super().query_obj()
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qry['metrics'] = [
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self.form_data['metric']]
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qry['groupby'] = [self.form_data['entity']]
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@ -1744,7 +1744,7 @@ class WorldMapViz(BaseViz):
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credits = 'datamaps on <a href="https://www.npmjs.com/package/datamaps">npm</a>'
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def query_obj(self):
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qry = super(WorldMapViz, self).query_obj()
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qry = super().query_obj()
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qry['groupby'] = [self.form_data['entity']]
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return qry
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@ -1802,7 +1802,7 @@ class FilterBoxViz(BaseViz):
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return None
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def run_extra_queries(self):
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qry = super(FilterBoxViz, self).query_obj()
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qry = super().query_obj()
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filters = self.form_data.get('filter_configs') or []
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qry['row_limit'] = self.filter_row_limit
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self.dataframes = {}
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@ -1880,7 +1880,7 @@ class ParallelCoordinatesViz(BaseViz):
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is_timeseries = False
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def query_obj(self):
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d = super(ParallelCoordinatesViz, self).query_obj()
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d = super().query_obj()
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fd = self.form_data
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d['groupby'] = [fd.get('series')]
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return d
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@ -1901,7 +1901,7 @@ class HeatmapViz(BaseViz):
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'bl.ocks.org</a>')
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def query_obj(self):
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d = super(HeatmapViz, self).query_obj()
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d = super().query_obj()
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fd = self.form_data
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d['metrics'] = [fd.get('metric')]
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d['groupby'] = [fd.get('all_columns_x'), fd.get('all_columns_y')]
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@ -1967,7 +1967,7 @@ class MapboxViz(BaseViz):
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'<a href=https://www.mapbox.com/mapbox-gl-js/api/>Mapbox GL JS</a>')
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def query_obj(self):
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d = super(MapboxViz, self).query_obj()
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d = super().query_obj()
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fd = self.form_data
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label_col = fd.get('mapbox_label')
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@ -2205,7 +2205,7 @@ class BaseDeckGLViz(BaseViz):
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if fd.get('filter_nulls', True):
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self.add_null_filters()
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d = super(BaseDeckGLViz, self).query_obj()
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d = super().query_obj()
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gb = []
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for key in self.spatial_control_keys:
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@ -2271,7 +2271,7 @@ class DeckScatterViz(BaseDeckGLViz):
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fd.get('time_grain_sqla') or fd.get('granularity'))
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self.point_radius_fixed = (
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fd.get('point_radius_fixed') or {'type': 'fix', 'value': 500})
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return super(DeckScatterViz, self).query_obj()
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return super().query_obj()
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def get_metrics(self):
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self.metric = None
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@ -2298,7 +2298,7 @@ class DeckScatterViz(BaseDeckGLViz):
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self.dim = self.form_data.get('dimension')
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if self.point_radius_fixed.get('type') != 'metric':
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self.fixed_value = self.point_radius_fixed.get('value')
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return super(DeckScatterViz, self).get_data(df)
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return super().get_data(df)
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class DeckScreengrid(BaseDeckGLViz):
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@ -2313,7 +2313,7 @@ class DeckScreengrid(BaseDeckGLViz):
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def query_obj(self):
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fd = self.form_data
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self.is_timeseries = fd.get('time_grain_sqla') or fd.get('granularity')
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return super(DeckScreengrid, self).query_obj()
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return super().query_obj()
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def get_properties(self, d):
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return {
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@ -2324,7 +2324,7 @@ class DeckScreengrid(BaseDeckGLViz):
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def get_data(self, df):
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self.metric_label = utils.get_metric_name(self.metric)
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return super(DeckScreengrid, self).get_data(df)
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return super().get_data(df)
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class DeckGrid(BaseDeckGLViz):
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@ -2343,7 +2343,7 @@ class DeckGrid(BaseDeckGLViz):
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def get_data(self, df):
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self.metric_label = utils.get_metric_name(self.metric)
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return super(DeckGrid, self).get_data(df)
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return super().get_data(df)
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def geohash_to_json(geohash_code):
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@ -2374,7 +2374,7 @@ class DeckPathViz(BaseDeckGLViz):
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def query_obj(self):
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fd = self.form_data
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self.is_timeseries = fd.get('time_grain_sqla') or fd.get('granularity')
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d = super(DeckPathViz, self).query_obj()
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d = super().query_obj()
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self.metric = fd.get('metric')
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line_col = fd.get('line_column')
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if d['metrics']:
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@ -2401,7 +2401,7 @@ class DeckPathViz(BaseDeckGLViz):
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def get_data(self, df):
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self.metric_label = utils.get_metric_name(self.metric)
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return super(DeckPathViz, self).get_data(df)
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return super().get_data(df)
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class DeckPolygon(DeckPathViz):
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@ -2416,7 +2416,7 @@ class DeckPolygon(DeckPathViz):
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fd = self.form_data
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self.elevation = (
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fd.get('point_radius_fixed') or {'type': 'fix', 'value': 500})
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return super(DeckPolygon, self).query_obj()
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return super().query_obj()
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def get_metrics(self):
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metrics = [self.form_data.get('metric')]
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@ -2425,7 +2425,7 @@ class DeckPolygon(DeckPathViz):
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return [metric for metric in metrics if metric]
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def get_properties(self, d):
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super(DeckPolygon, self).get_properties(d)
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super().get_properties(d)
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fd = self.form_data
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elevation = fd['point_radius_fixed']['value']
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type_ = fd['point_radius_fixed']['type']
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@ -2460,7 +2460,7 @@ class DeckGeoJson(BaseDeckGLViz):
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verbose_name = _('Deck.gl - GeoJSON')
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def query_obj(self):
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d = super(DeckGeoJson, self).query_obj()
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d = super().query_obj()
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d['columns'] += [self.form_data.get('geojson')]
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d['metrics'] = []
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d['groupby'] = []
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@ -2484,7 +2484,7 @@ class DeckArc(BaseDeckGLViz):
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fd = self.form_data
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self.is_timeseries = bool(
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fd.get('time_grain_sqla') or fd.get('granularity'))
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return super(DeckArc, self).query_obj()
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return super().query_obj()
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def get_properties(self, d):
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dim = self.form_data.get('dimension')
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@ -2496,7 +2496,7 @@ class DeckArc(BaseDeckGLViz):
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}
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def get_data(self, df):
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d = super(DeckArc, self).get_data(df)
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d = super().get_data(df)
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return {
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'features': d['features'],
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@ -2514,7 +2514,7 @@ class EventFlowViz(BaseViz):
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is_timeseries = True
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def query_obj(self):
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query = super(EventFlowViz, self).query_obj()
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query = super().query_obj()
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form_data = self.form_data
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event_key = form_data.get('all_columns_x')
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@ -2603,7 +2603,7 @@ class RoseViz(NVD3TimeSeriesViz):
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is_timeseries = True
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def get_data(self, df):
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data = super(RoseViz, self).get_data(df)
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data = super().get_data(df)
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result = {}
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for datum in data:
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key = datum['key']
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@ -2631,7 +2631,7 @@ class PartitionViz(NVD3TimeSeriesViz):
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verbose_name = _('Partition Diagram')
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def query_obj(self):
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query_obj = super(PartitionViz, self).query_obj()
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query_obj = super().query_obj()
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time_op = self.form_data.get('time_series_option', 'not_time')
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# Return time series data if the user specifies so
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query_obj['is_timeseries'] = time_op != 'not_time'
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