From 5248a770123e312e1684d7147ecb7118dd6ef1e7 Mon Sep 17 00:00:00 2001
From: Sam Wilkins <samwilkins333@gmail.com>
Date: Tue, 30 Jul 2019 01:24:37 -0400
Subject: tag generation and faces on extensionDoc

---
 src/client/cognitive_services/CognitiveServices.ts | 40 +++++-----------------
 1 file changed, 9 insertions(+), 31 deletions(-)

(limited to 'src/client/cognitive_services')

diff --git a/src/client/cognitive_services/CognitiveServices.ts b/src/client/cognitive_services/CognitiveServices.ts
index bbc438a9b..076907f09 100644
--- a/src/client/cognitive_services/CognitiveServices.ts
+++ b/src/client/cognitive_services/CognitiveServices.ts
@@ -42,7 +42,7 @@ export enum Confidence {
  */
 export namespace CognitiveServices {
 
-    const executeQuery = async <D, R>(service: Service, manager: APIManager<D>, data: D): Promise<Opt<R>> => {
+    const ExecuteQuery = async <D, R>(service: Service, manager: APIManager<D>, data: D): Promise<Opt<R>> => {
         return fetch(Utils.prepend(`${RouteStore.cognitiveServices}/${service}`)).then(async response => {
             let apiKey = await response.text();
             if (!apiKey) {
@@ -103,15 +103,15 @@ export namespace CognitiveServices {
                 return request.post(options);
             },
 
-            analyzer: async (target: Doc, keys: string[], service: Service, converter: Converter) => {
+            analyzer: async (target: Doc, keys: string[], url: string, service: Service, converter: Converter) => {
                 let batch = UndoManager.StartBatch("Image Analysis");
-                let imageData = Cast(target.data, ImageField);
+
                 let storageKey = keys[0];
-                if (!imageData || await Cast(target[storageKey], Doc)) {
+                if (!url || await Cast(target[storageKey], Doc)) {
                     return;
                 }
                 let toStore: any;
-                let results = await executeQuery<string, any>(service, Manager, imageData.url.href);
+                let results = await ExecuteQuery<string, any>(service, Manager, url);
                 if (!results) {
                     toStore = "Cognitive Services could not process the given image URL.";
                 } else {
@@ -122,6 +122,7 @@ export namespace CognitiveServices {
                     }
                 }
                 target[storageKey] = toStore;
+
                 batch.end();
             }
 
@@ -129,31 +130,6 @@ export namespace CognitiveServices {
 
         export type Face = { faceAttributes: any, faceId: string, faceRectangle: Rectangle };
 
-        export const generateMetadata = async (target: Doc, threshold: Confidence = Confidence.Excellent) => {
-            let converter = (results: any) => {
-                let tagDoc = new Doc;
-                results.tags.map((tag: Tag) => {
-                    let sanitized = tag.name.replace(" ", "_");
-                    let script = `return (${tag.confidence} >= this.confidence) ? ${tag.confidence} : "${ComputedField.undefined}"`;
-                    let computed = CompileScript(script, { params: { this: "Doc" } });
-                    computed.compiled && (tagDoc[sanitized] = new ComputedField(computed));
-                });
-                tagDoc.title = "Generated Tags";
-                tagDoc.confidence = threshold;
-                return tagDoc;
-            };
-            Manager.analyzer(target, ["generatedTags"], Service.ComputerVision, converter);
-        };
-
-        export const extractFaces = async (target: Doc) => {
-            let converter = (results: any) => {
-                let faceDocs = new List<Doc>();
-                results.map((face: Face) => faceDocs.push(Docs.Get.DocumentHierarchyFromJson(face, `Face: ${face.faceId}`)!));
-                return faceDocs;
-            };
-            Manager.analyzer(target, ["faces"], Service.Face, converter);
-        };
-
     }
 
     export namespace Inking {
@@ -209,7 +185,8 @@ export namespace CognitiveServices {
 
             analyzer: async (target: Doc, keys: string[], inkData: InkData) => {
                 let batch = UndoManager.StartBatch("Ink Analysis");
-                let results = await executeQuery<InkData, any>(Service.Handwriting, Manager, inkData);
+
+                let results = await ExecuteQuery<InkData, any>(Service.Handwriting, Manager, inkData);
                 if (results) {
                     results.recognitionUnits && (results = results.recognitionUnits);
                     target[keys[0]] = Docs.Get.DocumentHierarchyFromJson(results, "Ink Analysis");
@@ -217,6 +194,7 @@ export namespace CognitiveServices {
                     let individualWords = recognizedText.filter((text: string) => text && text.split(" ").length === 1);
                     target[keys[1]] = individualWords.join(" ");
                 }
+
                 batch.end();
             }
 
-- 
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