Add UI for anomaly detection flag

app/controllers/exercise_collections_controller.rb

@@ -47,6 +47,6 @@ class ExerciseCollectionsController < ApplicationController
   end
 
   def exercise_collection_params
-    params[:exercise_collection].permit(:name, :user_id, :user_type, :exercise_ids => [])
+    params[:exercise_collection].permit(:name, :use_anomaly_detection, :user_id, :user_type, :exercise_ids => [])
   end
 end

app/views/exercise_collections/_form.html.slim

@@ -6,6 +6,9 @@
   .form-group
     = f.label(t('activerecord.attributes.exercise_collections.name'))
     = f.text_field(:name, class: 'form-control', required: true)
+  .form-group
+    = f.label(t('activerecord.attributes.exercise_collections.use_anomaly_detection'))
+    = f.check_box(:use_anomaly_detection, {class: 'form-control'})
   .form-group
     = f.label(t('activerecord.attributes.exercise_collections.user'))
     = f.collection_select(:user_id, users, :id, :name, {}, {class: 'form-control'})

app/views/exercise_collections/show.html.slim

@@ -4,6 +4,7 @@ h1
 
 = row(label: 'exercise_collections.name', value: @exercise_collection.name)
 = row(label: 'exercise_collections.user', value: link_to(@exercise_collection.user.name, @exercise_collection.user))
+= row(label: 'exercise_collections.use_anomaly_detection', value: @exercise_collection.use_anomaly_detection)
 = row(label: 'exercise_collections.updated_at', value: @exercise_collection.updated_at)
 
 h4 = t('activerecord.attributes.exercise_collections.exercises')

config/locales/de.yml

@@ -125,6 +125,7 @@ de:
         id: "ID"
         name: "Name"
         user: "Verantwortlicher"
+        use_anomaly_detection: "Abweichungen in der Arbeitszeit erkennen"
         updated_at: "Letzte Änderung"
         exercises: "Aufgaben"
     models:

config/locales/en.yml

@@ -125,6 +125,7 @@ en:
         id: "ID"
         name: "Name"
         user: "Associated User"
+        use_anomaly_detection: "Enable Worktime Anomaly Detection"
         updated_at: "Last Update"
         exercises: "Exercises"
     models: