fix: fix footprint logic, do not scale thresholds on multi node jobs

web/frontend/src/generic/helper/JobFootprint.svelte

@@ -23,6 +23,25 @@
       alert: metricConfig.alert
     };
 
+    /*
+      NEW: Footprints should be comparable: Always use Unchanged Single Node Thresholds, except for shared jobs.
+      HW Clocks, HW Temperatures and File/Net IO Thresholds will be scaled down too, even if they are independent.
+      'jf.stats' is one of: avg, min, max -> Always relative to one nodes' thresholds as configured.
+    */
+    if (job.exclusive === 1) {
+      return defaultThresholds
+    } else {
+      const topol = getContext("getHardwareTopology")(job.cluster, job.subCluster)
+      const jobFraction = job.numHWThreads / topol.node.length;
+      return {
+        peak: round(defaultThresholds.peak * jobFraction, 0),
+        normal: round(defaultThresholds.normal * jobFraction, 0),
+        caution: round(defaultThresholds.caution * jobFraction, 0),
+        alert: round(defaultThresholds.alert * jobFraction, 0),
+      };
+    }
+
+    /* OLD: Based on Metric Aggregation Setting
       // Job_Exclusivity does not matter, only aggregation
       if (metricConfig.aggregation === "avg") {
         return defaultThresholds;
@@ -43,6 +62,7 @@
         );
         return defaultThresholds;
       }
+    */
   }
 </script>
 
@@ -136,25 +156,25 @@
     return a.impact - b.impact || ((a.name > b.name) ? 1 : ((b.name > a.name) ? -1 : 0));
   });;
 
-  function evalFootprint(mean, thresholds, lowerIsBetter, level) {
+  function evalFootprint(value, thresholds, lowerIsBetter, level) {
     // Handle Metrics in which less value is better
     switch (level) {
       case "peak":
         if (lowerIsBetter)
           return false; // metric over peak -> return false to trigger impact -1
-        else return mean <= thresholds.peak && mean > thresholds.normal;
+        else return value <= thresholds.peak && value > thresholds.normal;
       case "alert":
         if (lowerIsBetter)
-          return mean <= thresholds.peak && mean >= thresholds.alert;
+          return value <= thresholds.peak && value >= thresholds.alert;
-        else return mean <= thresholds.alert && mean >= 0;
+        else return value <= thresholds.alert && value >= 0;
       case "caution":
         if (lowerIsBetter)
-          return mean < thresholds.alert && mean >= thresholds.caution;
+          return value < thresholds.alert && value >= thresholds.caution;
-        else return mean <= thresholds.caution && mean > thresholds.alert;
+        else return value <= thresholds.caution && value > thresholds.alert;
       case "normal":
         if (lowerIsBetter)
-          return mean < thresholds.caution && mean >= 0;
+          return value < thresholds.caution && value >= 0;
-        else return mean <= thresholds.normal && mean > thresholds.caution;
+        else return value <= thresholds.normal && value > thresholds.caution;
       default:
         return false;
     }

web/frontend/src/job/JobSummary.svelte

@@ -23,6 +23,25 @@
       alert: metricConfig.alert
     };
 
+    /*
+      NEW: Footprints should be comparable: Always use Unchanged Single Node Thresholds, except for shared jobs.
+      HW Clocks, HW Temperatures and File/Net IO Thresholds will be scaled down too, even if they are independent.
+      'jf.stats' is one of: avg, min, max -> Always relative to one nodes' thresholds as configured.
+    */
+    if (job.exclusive === 1) {
+      return defaultThresholds
+    } else {
+      const topol = getContext("getHardwareTopology")(job.cluster, job.subCluster)
+      const jobFraction = job.numHWThreads / topol.node.length;
+      return {
+        peak: round(defaultThresholds.peak * jobFraction, 0),
+        normal: round(defaultThresholds.normal * jobFraction, 0),
+        caution: round(defaultThresholds.caution * jobFraction, 0),
+        alert: round(defaultThresholds.alert * jobFraction, 0),
+      };
+    }
+
+    /* OLD: Based on Metric Aggregation Setting
       // Job_Exclusivity does not matter, only aggregation
       if (metricConfig.aggregation === "avg") {
         return defaultThresholds;
@@ -43,6 +62,7 @@
         );
         return defaultThresholds;
       }
+    */
   }
 </script>
 
@@ -142,25 +162,25 @@
     return a.impact - b.impact || ((a.name > b.name) ? 1 : ((b.name > a.name) ? -1 : 0));
   });;
 
-  function evalFootprint(mean, thresholds, lowerIsBetter, level) {
+  function evalFootprint(value, thresholds, lowerIsBetter, level) {
     // Handle Metrics in which less value is better
     switch (level) {
       case "peak":
         if (lowerIsBetter)
           return false; // metric over peak -> return false to trigger impact -1
-        else return mean <= thresholds.peak && mean > thresholds.normal;
+        else return value <= thresholds.peak && value > thresholds.normal;
       case "alert":
         if (lowerIsBetter)
-          return mean <= thresholds.peak && mean >= thresholds.alert;
+          return value <= thresholds.peak && value >= thresholds.alert;
-        else return mean <= thresholds.alert && mean >= 0;
+        else return value <= thresholds.alert && value >= 0;
       case "caution":
         if (lowerIsBetter)
-          return mean < thresholds.alert && mean >= thresholds.caution;
+          return value < thresholds.alert && value >= thresholds.caution;
-        else return mean <= thresholds.caution && mean > thresholds.alert;
+        else return value <= thresholds.caution && value > thresholds.alert;
       case "normal":
         if (lowerIsBetter)
-          return mean < thresholds.caution && mean >= 0;
+          return value < thresholds.caution && value >= 0;
-        else return mean <= thresholds.normal && mean > thresholds.caution;
+        else return value <= thresholds.normal && value > thresholds.caution;
       default:
         return false;
     }