eslint

examples/image_feature_extraction.js

@@ -1,12 +1,12 @@
+"use strict";
+
 const leonardo = require('sap-leonardo');
 
 // set the API_KEY in the console, e.g. export API_KEY=abc123
 var imageFeatureExtraction = new leonardo.ImageFeatureExtraction(process.env.API_KEY);
-
 imageFeatureExtraction.featureExtraction("./testdata/chucks-153310_640.png")
-
-  .then(body => {
-    console.log("RESULT:", body.predictions[0].featureVectors.length, 'vectors')
-    // RESULT: 2048 vectors
+  .then((body) => {
+    console.log("result:", body.predictions[0].featureVectors.length, 'vectors');
+    // result: 2048 vectors
   })
-  .catch(err => { console.error(err) });
+  .catch((err) => { console.error(err); });

examples/imageclassification.js

@@ -1,13 +1,13 @@
+"use strict";
+
 const leonardo = require('sap-leonardo');
 
 // set the API_KEY in the console, e.g. export API_KEY=abc123
 var imageclassification = new leonardo.Imageclassification(process.env.API_KEY);
-
 imageclassification.classification("./testdata/elephant-114543_640.jpg")
-  .then(body => {
-    console.log(JSON.stringify(body, null, "  "));
+  .then((body) => {
     var firstResult = body.predictions[0].results[0];
-    console.log("RESULT:", firstResult.label, firstResult.score)
-    // RESULT: tusker 0.7052137851715088
+    console.log("result:", firstResult.label, firstResult.score);
+    // result: tusker 0.7052137851715088
   })
-  .catch(err => { console.error(err) });
+  .catch((err) => { console.error(err); });

examples/multi_instance_image_segmentation.js

@@ -1,12 +1,12 @@
+"use strict";
+
 const leonardo = require('sap-leonardo');
 
 // set the API_KEY in the console, e.g. export API_KEY=abc123
 var multiInstanceImageSegmentation = new leonardo.MultiInstanceImageSegmentation(process.env.API_KEY);
-
 multiInstanceImageSegmentation.instanceSegmentor("testdata/juice-1271881_640.jpg")
-  .then(body => {
-    //console.log(JSON.stringify(body, null, "  "));
-    console.log("RESULT:", body.predictions[0].results.length, 'segmentations');
-    // RESULT: 4 segmentations
+  .then((body) => {
+    console.log("result:", body.predictions[0].results.length, 'segmentations');
+    // result: 4 segmentations
   })
-  .catch(err => { console.error(err) });
+  .catch((err) => { console.error(err); });

examples/similarity_scoring.js

@@ -1,36 +1,49 @@
+"use strict";
+
 const leonardo = require('sap-leonardo');
 
 // set the API_KEY in the console, e.g. export API_KEY=abc123
-
 var similarityScoring = new leonardo.SimilarityScoring(process.env.API_KEY);
-
 const data =
 {
   "0": [
     {
       "id": "vector_0",
-      "vector": [0.28340766699907016, 0.9207926435655764, 0.26789935106091334, 0.318534020870441, 0.8788578877488213, 0.4509478663720774, 0.3771976033350821, 0.8324932893262449, 0.3125285189224729, 0.0012454795540639552]
+      "vector": [
+        0.28340766699907016,
+        0.9207926435655764,
+        0.26789935106091334
+      ]
     },
     {
       "id": "vector_1",
-      "vector": [0.45833237104751445, 0.32694129428557406, 0.8764997717518421, 0.15381826488593253, 0.995488727839039, 0.5471706751917085, 0.702883336443525, 0.623838711091733, 0.12306071043362388, 0.004332364690005086]
+      "vector": [
+        0.45833237104751445,
+        0.32694129428557406,
+        0.8764997717518421
+      ]
     },
     {
       "id": "vector_2",
-      "vector": [0.3556300142239819, 0.5045324288959441, 0.7577918039699381, 0.8632635582322563, 0.633311116403191, 0.2435334301982892, 0.6287482927751646, 0.7181573415502425, 0.5023501732127003, 0.18362374274429505]
+      "vector": [
+        0.3556300142239819,
+        0.5045324288959441,
+        0.7577918039699381
+      ]
     }
   ]
-}
+};
 
 const options = JSON.stringify({ "numSimilarVectors": 2 });
-
 similarityScoring.similarityScoring(null, JSON.stringify(data), options)
-.then(body => {
-  console.log(JSON.stringify(body, null, "  "));
+  .then((body) => {
+    console.log(
+      "result:",
+      body.predictions[0].id,
+      body.predictions[0].similarVectors[0].id,
+      body.predictions[0].similarVectors[0].score
+    );
 
-  var firstPrediction = body.predictions[0];
-  var firstSimilarVector = firstPrediction.similarVectors[0];
-  console.log("RESULT:", firstPrediction.id, firstSimilarVector.id, firstSimilarVector.score);
-  // RESULT: RESULT: vector_0 vector_2 0.849864721937753
-})
-.catch(err => { console.error(err) });
+    // result: vector_0 vector_2 0.786171751770592
+  })
+  .catch((err) => { console.error(err); });