"use strict";
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
    function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }
    return new (P || (P = Promise))(function (resolve, reject) {
        function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
        function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
        function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); }
        step((generator = generator.apply(thisArg, _arguments || [])).next());
    });
};
var __generator = (this && this.__generator) || function (thisArg, body) {
    var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
    return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
    function verb(n) { return function (v) { return step([n, v]); }; }
    function step(op) {
        if (f) throw new TypeError("Generator is already executing.");
        while (_) try {
            if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
            if (y = 0, t) op = [op[0] & 2, t.value];
            switch (op[0]) {
                case 0: case 1: t = op; break;
                case 4: _.label++; return { value: op[1], done: false };
                case 5: _.label++; y = op[1]; op = [0]; continue;
                case 7: op = _.ops.pop(); _.trys.pop(); continue;
                default:
                    if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
                    if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
                    if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
                    if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
                    if (t[2]) _.ops.pop();
                    _.trys.pop(); continue;
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            op = body.call(thisArg, _);
        } catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
        if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
    }
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.ModelManager = void 0;
var tfjs_node_1 = require("@tensorflow/tfjs-node");
var simpleNN_1 = require("./simpleNN");
var word_embeddings_manager_1 = require("./embeddings/word-embeddings-manager");
var metrics_1 = require("machinelearn/metrics");
var ModelManager = /** @class */ (function () {
    function ModelManager() {
        this._wordEmbeddingsManager = new word_embeddings_manager_1.WordEmbeddingsManager();
    }
    ModelManager.prototype.loadModel = function (modelPath) {
        return __awaiter(this, void 0, void 0, function () {
            var _a;
            return __generator(this, function (_b) {
                switch (_b.label) {
                    case 0:
                        _a = this;
                        return [4 /*yield*/, tfjs_node_1.loadLayersModel("file://" + modelPath)];
                    case 1:
                        _a._model = _b.sent();
                        return [2 /*return*/];
                }
            });
        });
    };
    ModelManager.prototype.createModel = function (wordEmbeddingsConfig, parameters) {
        return __awaiter(this, void 0, void 0, function () {
            var wordEmbeddingsMatrix;
            return __generator(this, function (_a) {
                switch (_a.label) {
                    case 0: return [4 /*yield*/, this._wordEmbeddingsManager.generateWordEmbeddingsMatrix(wordEmbeddingsConfig)];
                    case 1:
                        _a.sent();
                        wordEmbeddingsMatrix = this._wordEmbeddingsManager
                            .wordEmbeddingsMatrix;
                        this._model = new simpleNN_1.SimpleNN(parameters, wordEmbeddingsMatrix).model;
                        return [2 /*return*/];
                }
            });
        });
    };
    ModelManager.prototype.train = function (parameters) {
        return __awaiter(this, void 0, void 0, function () {
            var X, y, batchSize, epochs, validationSplit;
            return __generator(this, function (_a) {
                switch (_a.label) {
                    case 0:
                        X = parameters.X, y = parameters.y, batchSize = parameters.batchSize, epochs = parameters.epochs, validationSplit = parameters.validationSplit;
                        return [4 /*yield*/, this._model.fit(X, y, {
                                epochs: epochs,
                                batchSize: batchSize,
                                validationSplit: validationSplit,
                            })];
                    case 1:
                        _a.sent();
                        return [2 /*return*/];
                }
            });
        });
    };
    ModelManager.prototype.predictProbabilities = function (input) {
        var prediction = [];
        var confidences = this._model.predict(input).dataSync();
        confidences.forEach(function (confidence, intentId) {
            prediction.push({ intentId: intentId, confidence: confidence });
        });
        return prediction;
    };
    ModelManager.prototype.predict = function (input) {
        var probabilities = this._model.predict(input).arraySync();
        var intentId = probabilities[0].indexOf(Math.max.apply(Math, probabilities[0]));
        return intentId;
    };
    ModelManager.prototype.evaluate = function (X, y) {
        var prediction = this._model.predict(X).arraySync();
        var yPred = prediction.map(function (confidences) {
            return confidences.indexOf(Math.max.apply(Math, confidences));
        });
        var yTrue = y.arraySync();
        var accuracy = metrics_1.accuracyScore(yTrue, yPred);
        return accuracy;
    };
    ModelManager.prototype.saveModel = function (modelDir) {
        return __awaiter(this, void 0, void 0, function () {
            return __generator(this, function (_a) {
                switch (_a.label) {
                    case 0: return [4 /*yield*/, this._model.save("file://" + modelDir)];
                    case 1:
                        _a.sent();
                        return [2 /*return*/];
                }
            });
        });
    };
    return ModelManager;
}());
exports.ModelManager = ModelManager;
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