[ML] Clone analytics job

x-pack/legacy/plugins/ml/public/application/data_frame_analytics/pages/analytics_management/components/analytics_list/action_clone.test.ts

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+/*
+ * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
+ * or more contributor license agreements. Licensed under the Elastic License;
+ * you may not use this file except in compliance with the Elastic License.
+ */
+
+import { isAdvancedConfig } from './action_clone';
+
+describe('Analytics job clone action', () => {
+  describe('isAdvancedConfig', () => {
+    test('should detect a classification job created with the form', () => {
+      const formCreatedClassificationJob = {
+        id: 'bank_classification_1',
+        description: "Classification job with 'bank-marketing' dataset",
+        source: {
+          index: ['bank-marketing'],
+          query: {
+            match_all: {},
+          },
+        },
+        dest: {
+          index: 'dest_bank_1',
+          results_field: 'ml',
+        },
+        analysis: {
+          classification: {
+            dependent_variable: 'y',
+            num_top_classes: 2,
+            prediction_field_name: 'y_prediction',
+            training_percent: 2,
+            randomize_seed: 6233212276062807000,
+          },
+        },
+        analyzed_fields: {
+          includes: [],
+          excludes: [],
+        },
+        model_memory_limit: '350mb',
+        create_time: 1583417086689,
+        version: '8.0.0',
+        allow_lazy_start: false,
+      };
+
+      expect(isAdvancedConfig(formCreatedClassificationJob)).toBe(false);
+    });
+
+    test('should detect a outlier_detection job created with the form', () => {
+      const formCreatedOutlierDetectionJob = {
+        id: 'glass_outlier_detection_1',
+        description: "Outlier detection job with 'glass' dataset",
+        source: {
+          index: ['glass_withoutdupl_norm'],
+          query: {
+            match_all: {},
+          },
+        },
+        dest: {
+          index: 'dest_glass_1',
+          results_field: 'ml',
+        },
+        analysis: {
+          outlier_detection: {
+            compute_feature_influence: true,
+            outlier_fraction: 0.05,
+            standardization_enabled: true,
+          },
+        },
+        analyzed_fields: {
+          includes: [],
+          excludes: ['id', 'outlier'],
+        },
+        model_memory_limit: '1mb',
+        create_time: 1583417347446,
+        version: '8.0.0',
+        allow_lazy_start: false,
+      };
+      expect(isAdvancedConfig(formCreatedOutlierDetectionJob)).toBe(false);
+    });
+
+    test('should detect a regression job created with the form', () => {
+      const formCreatedRegressionJob = {
+        id: 'grid_regression_1',
+        description: "Regression job with 'electrical-grid-stability' dataset",
+        source: {
+          index: ['electrical-grid-stability'],
+          query: {
+            match_all: {},
+          },
+        },
+        dest: {
+          index: 'dest_grid_1',
+          results_field: 'ml',
+        },
+        analysis: {
+          regression: {
+            dependent_variable: 'stab',
+            prediction_field_name: 'stab_prediction',
+            training_percent: 20,
+            randomize_seed: -2228827740028660200,
+          },
+        },
+        analyzed_fields: {
+          includes: [],
+          excludes: [],
+        },
+        model_memory_limit: '150mb',
+        create_time: 1583417178919,
+        version: '8.0.0',
+        allow_lazy_start: false,
+      };
+
+      expect(isAdvancedConfig(formCreatedRegressionJob)).toBe(false);
+    });
+
+    test('should detect advanced classification job', () => {
+      const advancedClassificationJob = {
+        id: 'bank_classification_1',
+        description: "Classification job with 'bank-marketing' dataset",
+        source: {
+          index: ['bank-marketing'],
+          query: {
+            match_all: {},
+          },
+        },
+        dest: {
+          index: 'dest_bank_1',
+          results_field: 'CUSTOM_RESULT_FIELD',
+        },
+        analysis: {
+          classification: {
+            dependent_variable: 'y',
+            num_top_classes: 2,
+            prediction_field_name: 'y_prediction',
+            training_percent: 2,
+            randomize_seed: 6233212276062807000,
+          },
+        },
+        analyzed_fields: {
+          includes: [],
+          excludes: [],
+        },
+        model_memory_limit: '350mb',
+        create_time: 1583417086689,
+        version: '8.0.0',
+        allow_lazy_start: false,
+      };
+
+      expect(isAdvancedConfig(advancedClassificationJob)).toBe(true);
+    });
+
+    test('should detect advanced outlier_detection job', () => {
+      const advancedOutlierDetectionJob = {
+        id: 'glass_outlier_detection_1',
+        description: "Outlier detection job with 'glass' dataset",
+        source: {
+          index: ['glass_withoutdupl_norm'],
+          query: {
+            // TODO check default for `match`
+            match_all: {},
+          },
+        },
+        dest: {
+          index: 'dest_glass_1',
+          results_field: 'ml',
+        },
+        analysis: {
+          outlier_detection: {
+            compute_feature_influence: false,
+            outlier_fraction: 0.05,
+            standardization_enabled: true,
+          },
+        },
+        analyzed_fields: {
+          includes: [],
+          excludes: ['id', 'outlier'],
+        },
+        model_memory_limit: '1mb',
+        create_time: 1583417347446,
+        version: '8.0.0',
+        allow_lazy_start: false,
+      };
+      expect(isAdvancedConfig(advancedOutlierDetectionJob)).toBe(true);
+    });
+
+    test('should detect advanced regression job', () => {
+      const advancedRegressionJob = {
+        id: 'grid_regression_1',
+        description: "Regression job with 'electrical-grid-stability' dataset",
+        source: {
+          index: ['electrical-grid-stability'],
+          query: {
+            match: {
+              custom_field: 'custom_match',
+            },
+          },
+        },
+        dest: {
+          index: 'dest_grid_1',
+          results_field: 'ml',
+        },
+        analysis: {
+          regression: {
+            dependent_variable: 'stab',
+            prediction_field_name: 'stab_prediction',
+            training_percent: 20,
+            randomize_seed: -2228827740028660200,
+          },
+        },
+        analyzed_fields: {
+          includes: [],
+          excludes: [],
+        },
+        model_memory_limit: '150mb',
+        create_time: 1583417178919,
+        version: '8.0.0',
+        allow_lazy_start: false,
+      };
+
+      expect(isAdvancedConfig(advancedRegressionJob)).toBe(true);
+    });
+  });
+});