"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.BotonicNer = void 0;
var path_1 = require("path");
var embeddings_matrix_1 = require("../../embeddings/embeddings-matrix");
var indexed_items_1 = require("../../encode/indexed-items");
var label_encoder_1 = require("../../encode/label-encoder");
var one_hot_encoder_1 = require("../../encode/one-hot-encoder");
var manager_1 = require("../../model/manager");
var model_storage_1 = require("../../storage/model-storage");
var array_utils_1 = require("../../utils/array-utils");
var bilstm_model_1 = require("../ner/models/bilstm-model");
var types_1 = require("./models/types");
var constants_1 = require("./process/constants");
var prediction_processor_1 = require("./process/prediction-processor");
var processor_1 = require("./process/processor");
var config_storage_1 = require("./storage/config-storage");
var BotonicNer = /** @class */ (function () {
    function BotonicNer(locale, maxLength, entities, vocabulary, preprocessor) {
        this.locale = locale;
        this.maxLength = maxLength;
        this.vocabulary = vocabulary;
        this.preprocessor = preprocessor;
        this.entities = array_utils_1.unique([constants_1.NEUTRAL_ENTITY].concat(entities));
    }
    BotonicNer.load = function (path, preprocessor) {
        return __awaiter(this, void 0, void 0, function () {
            var config, ner, _a, _b;
            return __generator(this, function (_c) {
                switch (_c.label) {
                    case 0:
                        config = config_storage_1.NerConfigStorage.load(path);
                        ner = new BotonicNer(config.locale, config.maxLength, config.entities, config.vocabulary, preprocessor);
                        _a = ner;
                        _b = manager_1.ModelManager.bind;
                        return [4 /*yield*/, model_storage_1.ModelStorage.load(path)];
                    case 1:
                        _a.modelManager = new (_b.apply(manager_1.ModelManager, [void 0, _c.sent()]))();
                        return [2 /*return*/, ner];
                }
            });
        });
    };
    BotonicNer.prototype.compile = function () {
        this.processor = new processor_1.Processor(this.preprocessor, new label_encoder_1.LabelEncoder(new indexed_items_1.IndexedItems(this.vocabulary)), new one_hot_encoder_1.OneHotEncoder(new indexed_items_1.IndexedItems(this.entities)));
        this.predictionProcessor = new prediction_processor_1.PredictionProcessor(this.entities);
    };
    BotonicNer.prototype.createModel = function (template, storage, params) {
        return __awaiter(this, void 0, void 0, function () {
            var embeddingsMatrix;
            return __generator(this, function (_a) {
                switch (_a.label) {
                    case 0: return [4 /*yield*/, embeddings_matrix_1.generateEmbeddingsMatrix(storage, this.vocabulary)];
                    case 1:
                        embeddingsMatrix = _a.sent();
                        switch (template) {
                            case types_1.NER_TEMPLATE.BILSTM:
                                return [2 /*return*/, bilstm_model_1.createBiLstmModel(this.maxLength, this.entities, embeddingsMatrix, params)];
                            default:
                                throw new Error("\"" + template + "\" is an invalid model template.");
                        }
                        return [2 /*return*/];
                }
            });
        });
    };
    BotonicNer.prototype.setModel = function (model) {
        this.modelManager = new manager_1.ModelManager(model);
    };
    BotonicNer.prototype.train = function (dataset, epochs, batchSize) {
        return __awaiter(this, void 0, void 0, function () {
            var _a, x, y;
            return __generator(this, function (_b) {
                switch (_b.label) {
                    case 0:
                        _a = this.processor.process(dataset.samples), x = _a.x, y = _a.y;
                        return [4 /*yield*/, this.modelManager.train(x, y, { epochs: epochs, batchSize: batchSize })];
                    case 1:
                        _b.sent();
                        return [2 /*return*/];
                }
            });
        });
    };
    BotonicNer.prototype.evaluate = function (dataset) {
        return __awaiter(this, void 0, void 0, function () {
            var _a, x, y;
            return __generator(this, function (_b) {
                switch (_b.label) {
                    case 0:
                        _a = this.processor.process(dataset.samples), x = _a.x, y = _a.y;
                        return [4 /*yield*/, this.modelManager.evaluate(x, y)];
                    case 1: return [2 /*return*/, _b.sent()];
                }
            });
        });
    };
    BotonicNer.prototype.recognizeEntities = function (text) {
        var _a = this.processor.generateInput(text), sequence = _a.sequence, input = _a.input;
        var prediction = this.modelManager.predict(input);
        return this.predictionProcessor.process(sequence, prediction);
    };
    BotonicNer.prototype.saveModel = function (path) {
        return __awaiter(this, void 0, void 0, function () {
            var config;
            return __generator(this, function (_a) {
                switch (_a.label) {
                    case 0:
                        path = path_1.join(path, this.locale);
                        config = {
                            locale: this.locale,
                            maxLength: this.maxLength,
                            vocabulary: this.vocabulary,
                            entities: this.entities,
                        };
                        config_storage_1.NerConfigStorage.save(path, config);
                        return [4 /*yield*/, this.modelManager.save(path)];
                    case 1:
                        _a.sent();
                        return [2 /*return*/];
                }
            });
        });
    };
    return BotonicNer;
}());
exports.BotonicNer = BotonicNer;
//# sourceMappingURL=botonic-ner.js.map