src/recognizer/rest/v3/Cdkv3RestTextRecognizer.js
import { recognizerLogger as logger } from '../../../configuration/LoggerConfig';
import Constants from '../../../configuration/Constants';
import * as InkModel from '../../../model/InkModel';
import * as StrokeComponent from '../../../model/StrokeComponent';
import * as CryptoHelper from '../../CryptoHelper';
import * as Cdkv3RestRecognizerUtil from './Cdkv3RestRecognizerUtil';
import * as Cdkv3CommonTextRecognizer from '../../common/v3/Cdkv3CommonTextRecognizer';
export { init, close, clear, reset } from '../../DefaultRecognizer';
/**
* Recognizer configuration
* @type {RecognizerInfo}
*/
export const textRestV3Configuration = {
types: [Constants.RecognitionType.TEXT],
protocol: Constants.Protocol.REST,
apiVersion: 'V3',
availableTriggers: {
exportContent: [
Constants.Trigger.QUIET_PERIOD,
Constants.Trigger.DEMAND
]
}
};
/**
* Get the configuration supported by this recognizer
* @return {RecognizerInfo}
*/
export function getInfo() {
return textRestV3Configuration;
}
/**
* Internal function to build the payload to ask for a recognition.
* @param {RecognizerContext} recognizerContext
* @param {Model} model
* @return {Object}
*/
export function buildInput(recognizerContext, model) {
const configuration = recognizerContext.editor.configuration;
const input = {
inputUnits: [{
textInputType: 'MULTI_LINE_TEXT',
// As Rest TEXT recognition is non incremental wa add the already recognized strokes
components: model.rawStrokes.map(stroke => StrokeComponent.toJSON(stroke))
}]
};
Object.assign(input, { textParameter: configuration.recognitionParams.v3.textParameter }); // Building the input with the suitable parameters
logger.debug(`input.inputUnits[0].components size is ${input.inputUnits[0].components.length}`);
const data = {
instanceId: recognizerContext ? recognizerContext.instanceId : undefined,
applicationKey: configuration.recognitionParams.server.applicationKey,
textInput: JSON.stringify(input)
};
if (configuration.recognitionParams.server.hmacKey) {
data.hmac = CryptoHelper.computeHmac(data.textInput, configuration.recognitionParams.server.applicationKey, configuration.recognitionParams.server.hmacKey);
}
InkModel.updateModelSentPosition(model);
return data;
}
function resultCallback(model, res, callback) {
logger.debug('Cdkv3RestTextRecognizer result callback', model);
const modelReference = InkModel.updateModelReceivedPosition(model);
modelReference.rawResults.exports = res;
modelReference.exports = Cdkv3CommonTextRecognizer.extractExports(model);
logger.debug('Cdkv3RestTextRecognizer model updated', modelReference);
callback(undefined, modelReference, Constants.EventType.EXPORTED, Constants.EventType.IDLE);
}
/**
* Export content
* @param {RecognizerContext} recognizerContext Current recognizer context
* @param {Model} model Current model
* @param {RecognizerCallback} callback
*/
export function exportContent(recognizerContext, model, callback) {
Cdkv3RestRecognizerUtil.postMessage('/api/v3.0/recognition/rest/text/doSimpleRecognition.json', recognizerContext, model, buildInput)
.then(res => resultCallback(model, res, callback))
.catch(err => callback(err, model));
}