forked from geolba/tethys.backend
Arno Kaimbacher
005df2e454
- npm updates - coverage validation: elevation ust be positive, depth must be negative - vinejs-provider.js: get enabled extensions from database, not via validOptions.extnames - vue components for backup codes: e.g.: PersonalSettings.vue - validate spaital coverage in leaflet map: draw.component.vue, map.component.vue - add backup code authentication into Login.vue - preset to use no preferred reviewer: Release.vue - 2 new vinejs validation rules: file_scan.ts and file-length.ts
136 lines
5.4 KiB
TypeScript
136 lines
5.4 KiB
TypeScript
// import Logger from '@ioc:Adonis/Core/Logger';
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import { XMLBuilder } from 'xmlbuilder2/lib/interfaces.js';
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import { create } from 'xmlbuilder2';
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import Dataset from '#models/dataset';
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import XmlModel from '#app/Library/XmlModel';
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import { readFileSync } from 'fs';
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import SaxonJS from 'saxon-js';
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import { Client } from '@opensearch-project/opensearch';
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import { getDomain } from '#app/utils/utility-functions';
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import { BaseCommand, flags } from '@adonisjs/core/ace';
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import { CommandOptions } from '@adonisjs/core/types/ace';
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import env from '#start/env';
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// import db from '@adonisjs/lucid/services/db';
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// import { default as Dataset } from '#models/dataset';
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const opensearchNode = env.get('OPENSEARCH_HOST', 'localhost');
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const client = new Client({ node: `http://${opensearchNode}` }); // replace with your OpenSearch endpoint
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export default class IndexDatasets extends BaseCommand {
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static commandName = 'index:datasets';
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static description = 'Index datasets based on publish_id';
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public static needsApplication = true;
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@flags.number({ alias: 'p' })
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public publish_id: number;
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public static options: CommandOptions = {
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startApp: true,
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staysAlive: false,
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};
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async run() {
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this.logger.info('Hello world!');
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// const { default: Dataset } = await import('#models/dataset');
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// const datasets = await Dataset.query().where('server_state', 'published').exec(); //this.getDatasets();
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const datasets = await this.getDatasets();
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const proc = readFileSync('public/assets2/solr.sef.json');
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const index_name = 'tethys-records';
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for (var dataset of datasets) {
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// Logger.info(`File publish_id ${dataset.publish_id}`);
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// const jsonString = await this.getJsonString(dataset, proc);
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// console.log(jsonString);
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await this.indexDocument(dataset, index_name, proc);
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}
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}
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private async getDatasets(): Promise<any[]> {
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// const { default: Dataset } = await import('#models/dataset');
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// const Dataset = (await import('#models/dataset')).default
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// const Dataset = (
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// await this.app.container.make('#models/dataset')
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// ).default;
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// const query: ModelQueryBuilder<Dataset, any> = db.from(Dataset);
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const query = Dataset.query().preload('xmlCache').where('server_state', 'published');
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if (this.publish_id) {
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query.where('publish_id', this.publish_id);
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}
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return await query.exec();
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}
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private async indexDocument(dataset: Dataset, index_name: string, proc: Buffer): Promise<void> {
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try {
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const doc = await this.getJsonString(dataset, proc);
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let document = JSON.parse(doc);
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await client.index({
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id: dataset.publish_id?.toString(),
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index: index_name,
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body: document,
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refresh: true,
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});
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this.logger.info(`dataset with publish_id ${dataset.publish_id} successfully indexed`);
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} catch (error) {
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this.logger.error(`An error occurred while indexing dataset with publish_id ${dataset.publish_id}.`);
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}
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}
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private async getJsonString(dataset: Dataset, proc: Buffer) {
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let xml = create({ version: '1.0', encoding: 'UTF-8', standalone: true }, '<root></root>');
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const datasetNode = xml.root().ele('Dataset');
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await this.createXmlRecord(dataset, datasetNode);
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const xmlString = xml.end({ prettyPrint: false });
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try {
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const result = await SaxonJS.transform({
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stylesheetText: proc,
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destination: 'serialized',
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sourceText: xmlString,
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});
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return result.principalResult;
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} catch (error) {
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this.logger.error(`An error occurred while creating the user, error: ${error.message},`);
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return '';
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}
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}
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private async createXmlRecord(dataset: Dataset, datasetNode: XMLBuilder): Promise<void> {
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const domNode = await this.getDatasetXmlDomNode(dataset);
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if (domNode) {
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dataset.publish_id && this.addLandingPageAttribute(domNode, dataset.publish_id.toString());
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this.addSpecInformation(domNode, 'data-type:' + dataset.type);
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datasetNode.import(domNode);
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}
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}
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private async getDatasetXmlDomNode(dataset: Dataset): Promise<XMLBuilder | null> {
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const xmlModel = new XmlModel(dataset);
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// xmlModel.setModel(dataset);
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xmlModel.excludeEmptyFields();
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xmlModel.caching = true;
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// const cache = dataset.xmlCache ? dataset.xmlCache : null;
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// dataset.load('xmlCache');
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if (dataset.xmlCache) {
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xmlModel.xmlCache = dataset.xmlCache;
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}
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// return cache.getDomDocument();
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const domDocument: XMLBuilder | null = await xmlModel.getDomDocument();
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return domDocument;
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}
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private addSpecInformation(domNode: XMLBuilder, information: string) {
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domNode.ele('SetSpec').att('Value', information);
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}
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private addLandingPageAttribute(domNode: XMLBuilder, dataid: string) {
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const baseDomain = process.env.OAI_BASE_DOMAIN || 'localhost';
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const url = 'https://' + getDomain(baseDomain) + '/dataset/' + dataid;
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// add attribute du dataset xml element
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domNode.att('landingpage', url);
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}
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}
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