"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]); }; }
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            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; }
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        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 metrics_1 = require("machinelearn/metrics");
var word_embeddings_manager_1 = require("./embeddings/word-embeddings-manager");
var simple_nn_1 = require("./simple-nn");
var types_1 = require("./types");
var ModelManager = /** @class */ (function () {
    function ModelManager(model) {
        this.model = model;
    }
    ModelManager.fromModel = function (model) {
        return new ModelManager(model);
    };
    ModelManager.fromModelPath = function (path) {
        return __awaiter(this, void 0, void 0, function () {
            var model;
            return __generator(this, function (_a) {
                switch (_a.label) {
                    case 0: return [4 /*yield*/, tfjs_node_1.loadLayersModel("file://" + path)];
                    case 1:
                        model = _a.sent();
                        return [2 /*return*/, new ModelManager(model)];
                }
            });
        });
    };
    ModelManager.fromModelTemplate = function (template, wordEmbeddingsConfig, parameters) {
        return __awaiter(this, void 0, void 0, function () {
            var wordEmbeddingsManager, wordEmbeddingsMatrix;
            return __generator(this, function (_a) {
                switch (_a.label) {
                    case 0: return [4 /*yield*/, word_embeddings_manager_1.WordEmbeddingsManager.withConfig(wordEmbeddingsConfig)];
                    case 1:
                        wordEmbeddingsManager = _a.sent();
                        wordEmbeddingsMatrix = wordEmbeddingsManager.matrix;
                        switch (template) {
                            case types_1.ModelTemplatesType.SIMPLE_NN:
                            default:
                                return [2 /*return*/, new ModelManager(new simple_nn_1.SimpleNN(parameters, wordEmbeddingsMatrix).model)];
                        }
                        return [2 /*return*/];
                }
            });
        });
    };
    ModelManager.prototype.train = function (params) {
        return __awaiter(this, void 0, void 0, function () {
            return __generator(this, function (_a) {
                switch (_a.label) {
                    case 0: return [4 /*yield*/, this.model.fit(params.x, params.y, {
                            epochs: params.epochs,
                            batchSize: params.batchSize,
                            validationSplit: params.validationSplit,
                        })];
                    case 1:
                        _a.sent();
                        return [2 /*return*/];
                }
            });
        });
    };
    ModelManager.prototype.predictProbabilities = function (input) {
        var confidences = Array.from(this.model.predict(input).dataSync());
        return confidences.map(function (confidence, intentId) { return ({
            intentId: intentId,
            confidence: confidence,
        }); });
    };
    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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