64 lines
2.4 KiB
JavaScript
64 lines
2.4 KiB
JavaScript
const TableImporter = require('./base');
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const {faker} = require('@faker-js/faker');
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const generateEvents = require('../utils/event-generator');
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const {luck} = require('../utils/random');
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const dateToDatabaseString = require('../utils/database-date');
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class WebMentionsImporter extends TableImporter {
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static table = 'mentions';
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constructor(knex, {baseUrl}) {
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super(WebMentionsImporter.table, knex);
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this.baseUrl = baseUrl;
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}
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setImportOptions({model, amount}) {
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this.model = model;
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// Most web mentions published soon after publication date
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const startDate = new Date(this.model.published_at);
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// End date should be either 1 year after post is published, or current date, whichever is first
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const endDate = new Date(Math.min(new Date().valueOf(), new Date(startDate).setFullYear(startDate.getFullYear() + 1)));
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this.timestamps = generateEvents({
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shape: 'ease-out',
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trend: 'negative',
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total: amount,
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startTime: startDate,
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endTime: endDate
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}).sort();
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}
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generate() {
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if (luck(50)) {
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// 50/50 chance of having a web mention
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return null;
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}
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const id = faker.database.mongodbObjectId();
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const timestamp = this.timestamps.shift();
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const author = `${faker.name.fullName()}`;
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return {
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id,
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source: `${faker.internet.url()}/${faker.helpers.slugify(`${faker.word.adjective()} ${faker.word.noun()}`).toLowerCase()}`,
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source_title: faker.lorem.sentence(5),
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source_site_title: `${author}'s ${faker.word.noun()}`,
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source_excerpt: faker.lorem.paragraph(),
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source_author: author,
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source_featured_image: `https://api.dicebear.com/5.x/shapes/png?size=256&seed=${id}`,
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source_favicon: `https://api.dicebear.com/5.x/bottts/png?size=32&seed=${id}`,
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target: `${this.baseUrl}${this.model.slug}/`,
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resource_id: this.model.id,
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resource_type: 'post', // TODO: Randomise resource type - should also include pages
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created_at: dateToDatabaseString(timestamp),
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payload: JSON.stringify({
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// TODO: Add some random payload
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}),
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deleted: Math.floor(Math.random() * 2) ? true : false
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};
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}
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}
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module.exports = WebMentionsImporter;
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