Ggtcf

I am using country_map in apache-superset for visualization purposes. When zooming in on a polygon, information from the columns appears inside of the polygon, like so:

There is only one available metric option to display:

Code for the metric update is found on this path:

superset/assets/src/visualizations/CountryMap/CountryMap.js

Code:

const updateMetrics = function (region) 
 if (region.length > 0) 
 resultText.text(format(region[0].metric));
 
;

The metrics are defined in controls.jsx:

/superset/static/assets/src/explore/controls.jsx

const metrics = 
 type: 'MetricsControl',
 multi: true,
 label: t('Metrics'),
 validators: [v.nonEmpty],
 default: (c) => 
 const metric = mainMetric(c.savedMetrics);
 return metric ? [metric] : null;
 ,
 mapStateToProps: (state) => 
 const datasource = state.datasource;
 return 
 columns: datasource ? datasource.columns : [],
 savedMetrics: datasource ? datasource.metrics : [],
 datasourceType: datasource && datasource.type,
 ;
 ,
 description: t('One or many metrics to display'),
;
const metric = 
 ...metrics,
 multi: false,
 label: t('Metric'),
 default: props => mainMetric(props.savedMetrics),
;

Country map is using metric, which doesn't allow multiple metrics to be selected, Code found here:

superset/assets/src/explore/controlPanels/CountryMap.js

 controlPanelSections: [
 
 label: t('Query'),
 expanded: true,
 controlSetRows: [
 ['entity'],
 ['metric'],
 ['adhoc_filters'],
 ],
 ,
 
 label: t('Options'),
 expanded: true,
 controlSetRows: [
 ['select_country', 'number_format'],
 ['linear_color_scheme'],
 ],
 ,
 ],

The python class of country_map is located at viz.py:

class CountryMapViz(BaseViz):

 """A country centric"""

 viz_type = 'country_map'
 verbose_name = _('Country Map')
 is_timeseries = False
 credits = 'From bl.ocks.org By john-guerra'

 def query_obj(self):
 qry = super(CountryMapViz, self).query_obj()
 qry['metrics'] = [
 self.form_data['metric']]
 qry['groupby'] = [self.form_data['entity']]
 return qry

Changing the code in CountryMap.js and viz.py from metric to metrics results in the following error:

Traceback (most recent call last):
 File "/Documents/superset/superset/superset/viz.py", line 410, in get_df_payload
 df = self.get_df(query_obj)
 File "/Documents/superset/superset/superset/viz.py", line 213, in get_df
 self.results = self.datasource.query(query_obj)
 File "/Documents/superset/superset/superset/connectors/sqla/models.py", line 797, in query
 sql = self.get_query_str(query_obj)
 File "/Documents/superset/superset/superset/connectors/sqla/models.py", line 471, in get_query_str
 qry = self.get_sqla_query(**query_obj)
 File "/Documents/superset/superset/superset/connectors/sqla/models.py", line 585, in get_sqla_query
 elif m in metrics_dict:
TypeError: unhashable type: 'list'

How can I add more metrics to display inside the polygon?

The direct cause of the error TypeError: unhashable type: 'list' is your modification to file "viz.py":

self.form_data['metric']] to self.form_data['metrics']], in the query_obj(self) method.

As you can see in the source code here, form data metrics is a list object that contains metric, where metric is probably a string or other hashable object. In python language, a list object is not hashable. Because you replace a hashable object (metric) with an unhashable one (metrics), an unhashable type error is then raised.

The correct way to modify CoutryMapViz.query_obj() to accept metrics query can be found in the other Viz classes. The code section here is a very nice example:

class CalHeatmapViz(BaseViz):

"""Calendar heatmap."""
...

 def query_obj(self):
 d = super(CalHeatmapViz, self).query_obj()
 fd = self.form_data
 d['metrics'] = fd.get('metrics')
 return d

Finally, the CoutryMapViz.query_obj() method should look like this:

class CountryMapViz(BaseViz):

...

 def query_obj(self):
 qry = super(CountryMapViz, self).query_obj()
 qry['metrics'] = fd.get('metrics')
 qry['groupby'] = [self.form_data['entity']]
 return qry