First version of computation Wowa weights

app/Jobs/FeedbackJob.php

@@ -2,11 +2,15 @@
 
 namespace App\Jobs;
 
+use App\Mark;
 use Illuminate\Bus\Queueable;
 use Illuminate\Contracts\Queue\ShouldQueue;
 use Illuminate\Foundation\Bus\Dispatchable;
 use Illuminate\Queue\InteractsWithQueue;
 use Illuminate\Queue\SerializesModels;
+use RUCD\Training\SolutionDistance;
+use RUCD\Training\Trainer;
+use RUCD\Training\TrainerParameters;
 
 class FeedbackJob implements ShouldQueue
 {
@@ -30,6 +34,32 @@ class FeedbackJob implements ShouldQueue
      */
     public function handle()
     {
-        return 25;
+        if (count($this->feedbacks) == 0) {
+            return;
+        }
+        $evidences = [];
+        $is_true_alert = [];
+        foreach ($this->feedbacks as $feedback) {
+            $evidence_references = $feedback->report()->references;
+            $is_true_alert[] = $feedback->is_true_alert;
+            $scores_references = [];
+            foreach ($evidence_references as $evidence_reference) {
+                $scores_references[] = Mark::get()->findEvidenceById($evidence_reference)->score;
+            }
+            $evidences[] = $scores_references;
+        }
+        $training_prameters = new TrainerParameters(
+            null,
+            100,
+            60,
+            7,
+            TrainerParameters::SELECTION_METHOD_RWS,
+            90,
+            TrainerParameters::INITIAL_POPULATION_GENERATION_RANDOM
+        );
+        $trainer = new Trainer($training_prameters, new SolutionDistance(count($evidences[0])));
+        $solution = $trainer->run($evidences, $is_true_alert);
+        var_dump($solution);
+        
     }
 }