codeant-ai-for-open-source[bot] commented on PR #36890:
URL: https://github.com/apache/superset/pull/36890#issuecomment-3705297093

   ## Nitpicks 🔍
   
   <table>
   <tr><td>🔒&nbsp;<strong>No security issues identified</strong></td></tr>
   <tr><td>⚡&nbsp;<strong>Recommended areas for review</strong><br><br>
   
   - [ ] <a 
href='https://github.com/apache/superset/pull/36890/files#diff-098b90b49fea31de015c89847d895a4154d1bdd5161d0e8c5d647467630db05bR82-R86'><strong>Metrics
 overwrite</strong></a><br>The new code always constructs a `metrics` array 
(via processMetricsArray) even when `point_radius_fixed.type` is not 'metric'. 
This can unintentionally clear or overwrite existing metrics in 
`baseQueryObject.metrics` for queries that depend on other metrics. Consider 
preserving existing metrics unless the radius is metric-based.<br>
   
   - [ ] <a 
href='https://github.com/apache/superset/pull/36890/files#diff-098b90b49fea31de015c89847d895a4154d1bdd5161d0e8c5d647467630db05bR92-R94'><strong>OrderBy
 logic</strong></a><br>`orderby` is set to the metric string when radius is 
metric-based, otherwise it falls back to `baseQueryObject.orderby`. Ensure the 
metric string used for orderby matches the metric key used in `metrics` (labels 
vs expressions) and that using a stringified numeric value won't produce 
incorrect orderby entries.<br>
   
   - [ ] <a 
href='https://github.com/apache/superset/pull/36890/files#diff-c63de53cf185c55bf589249201ca47dda2cfca92451e274120b56db3e84f005cR136-R146'><strong>Possible
 Bug</strong></a><br>The new implementation only returns a metric label when 
`metric.type === 'metric'` and `metric.value` is a string. In real form data 
`metric.value` can be an object (an ad-hoc metric or saved metric object). 
Those cases will be ignored and return undefined, which may cause missing 
metricLabels downstream or unexpected behavior. Consider handling object metric 
values as valid metrics.<br>
   
   - [ ] <a 
href='https://github.com/apache/superset/pull/36890/files#diff-0a74132f13aaf3cd0faad6f78a560bb9994ce1462fade7eef4e7aee2a4a071d2R47-R55'><strong>Metric
 misclassification</strong></a><br>The new logic treats string 
`point_radius_fixed` values as metric keys (the branch that assigns metricKey 
for strings). If a fixed point size is provided as a string (e.g., "1000" from 
the fixed-size UI), it may still be treated as a metric and cause the 
query/tooltip code to look up a non-existent metric field. Ensure only 
metric-typed values are considered metrics.<br>
   
   - [ ] <a 
href='https://github.com/apache/superset/pull/36890/files#diff-0a74132f13aaf3cd0faad6f78a560bb9994ce1462fade7eef4e7aee2a4a071d2R57-R76'><strong>VerboseMap
 lookup for non-string metric keys</strong></a><br>The verboseMap lookup uses 
`verboseMap?.[metricKey]` but `metricKey` can be an object (an adhoc metric) 
which will not index the map correctly. This can result in falling back to 
getMetricLabel unnecessarily or producing an incorrect label. Normalize the key 
used for lookup when `metricKey` is an object (for example use its `value` or 
`label`) before indexing `verboseMap`.<br>
   
   </td></tr>
   </table>
   


-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]


---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to