From ef94ad7df2a087141ddb8d347d3e3c484ff7609b Mon Sep 17 00:00:00 2001 From: Sam Wilkins Date: Tue, 3 Dec 2019 01:46:36 -0500 Subject: const linter rule and restored google docs push, fixed routing --- src/client/cognitive_services/CognitiveServices.ts | 50 ++++++++++------------ 1 file changed, 23 insertions(+), 27 deletions(-) (limited to 'src/client/cognitive_services') diff --git a/src/client/cognitive_services/CognitiveServices.ts b/src/client/cognitive_services/CognitiveServices.ts index 5a7f5e991..02eff3b25 100644 --- a/src/client/cognitive_services/CognitiveServices.ts +++ b/src/client/cognitive_services/CognitiveServices.ts @@ -1,5 +1,5 @@ import * as request from "request-promise"; -import { Doc, Field, Opt } from "../../new_fields/Doc"; +import { Doc, Field } from "../../new_fields/Doc"; import { Cast } from "../../new_fields/Types"; import { Docs } from "../documents/Documents"; import { Utils } from "../../Utils"; @@ -101,14 +101,14 @@ export namespace CognitiveServices { export namespace Appliers { export const ProcessImage: AnalysisApplier = async (target: Doc, keys: string[], url: string, service: Service, converter: Converter) => { - let batch = UndoManager.StartBatch("Image Analysis"); + const batch = UndoManager.StartBatch("Image Analysis"); - let storageKey = keys[0]; + const storageKey = keys[0]; if (!url || await Cast(target[storageKey], Doc)) { return; } let toStore: any; - let results = await ExecuteQuery(service, Manager, url); + const results = await ExecuteQuery(service, Manager, url); if (!results) { toStore = "Cognitive Services could not process the given image URL."; } else { @@ -131,36 +131,32 @@ export namespace CognitiveServices { export namespace Inking { - export const Manager: APIManager = { - - converter: (inkData: InkData): string => { - let entries = inkData.entries(), next = entries.next(); - let strokes: AzureStrokeData[] = [], id = 0; - while (!next.done) { - strokes.push({ - id: id++, - points: next.value[1].pathData.map(point => `${point.x},${point.y}`).join(","), - language: "en-US" - }); - next = entries.next(); - } + export const Manager: APIManager = { + + converter: (inkData: InkData[]): string => { + let id = 0; + const strokes: AzureStrokeData[] = inkData.map(points => ({ + id: id++, + points: points.map(({ x, y }) => `${x},${y}`).join(","), + language: "en-US" + })); return JSON.stringify({ version: 1, language: "en-US", unit: "mm", - strokes: strokes + strokes }); }, requester: async (apiKey: string, body: string) => { - let xhttp = new XMLHttpRequest(); - let serverAddress = "https://api.cognitive.microsoft.com"; - let endpoint = serverAddress + "/inkrecognizer/v1.0-preview/recognize"; + const xhttp = new XMLHttpRequest(); + const serverAddress = "https://api.cognitive.microsoft.com"; + const endpoint = serverAddress + "/inkrecognizer/v1.0-preview/recognize"; - let promisified = (resolve: any, reject: any) => { + const promisified = (resolve: any, reject: any) => { xhttp.onreadystatechange = function () { if (this.readyState === 4) { - let result = xhttp.responseText; + const result = xhttp.responseText; switch (this.status) { case 200: return resolve(result); @@ -184,15 +180,15 @@ export namespace CognitiveServices { export namespace Appliers { - export const ConcatenateHandwriting: AnalysisApplier = async (target: Doc, keys: string[], inkData: InkData) => { - let batch = UndoManager.StartBatch("Ink Analysis"); + export const ConcatenateHandwriting: AnalysisApplier = async (target: Doc, keys: string[], inkData: InkData[]) => { + const batch = UndoManager.StartBatch("Ink Analysis"); let results = await ExecuteQuery(Service.Handwriting, Manager, inkData); if (results) { results.recognitionUnits && (results = results.recognitionUnits); target[keys[0]] = Docs.Get.DocumentHierarchyFromJson(results, "Ink Analysis"); - let recognizedText = results.map((item: any) => item.recognizedText); - let individualWords = recognizedText.filter((text: string) => text && text.split(" ").length === 1); + const recognizedText = results.map((item: any) => item.recognizedText); + const individualWords = recognizedText.filter((text: string) => text && text.split(" ").length === 1); target[keys[1]] = individualWords.join(" "); } -- cgit v1.2.3-70-g09d2