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refs: https://github.com/TryGhost/DevOps/issues/11 This is a pretty huge commit, but the relevant points are: * Each importer no longer needs to be passed a set of data, it just gets the data it needs * Each importer specifies its dependencies, so that the order of import can be determined at runtime using a topological sort * The main data generator function can just tell each importer to import the data it has This makes working on the data generator much easier. Some other benefits are: * Batched importing, massively speeding up the whole process * `--tables` to set the exact tables you want to import, and specify the quantity of each
89 lines
3.8 KiB
JavaScript
89 lines
3.8 KiB
JavaScript
const TableImporter = require('./TableImporter');
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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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static dependencies = ['posts'];
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constructor(knex, transaction, {baseUrl}) {
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super(WebMentionsImporter.table, knex, transaction);
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this.baseUrl = baseUrl;
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}
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async import(quantity) {
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const posts = await this.transaction.select('id', 'slug', 'published_at').from('posts').where('type', 'post');
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this.quantity = quantity ? quantity / posts.length : 4;
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await this.importForEach(posts, this.quantity);
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}
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setReferencedModel(model) {
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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: this.quantity,
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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% chance of 1 mention, 25% chance of 2 mentions, etc.
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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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/**
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id: {type: 'string', maxlength: 24, nullable: false, primary: true},
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source: {type: 'string', maxlength: 2000, nullable: false},
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source_title: {type: 'string', maxlength: 2000, nullable: true},
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source_site_title: {type: 'string', maxlength: 2000, nullable: true},
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source_excerpt: {type: 'string', maxlength: 2000, nullable: true},
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source_author: {type: 'string', maxlength: 2000, nullable: true},
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source_featured_image: {type: 'string', maxlength: 2000, nullable: true},
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source_favicon: {type: 'string', maxlength: 2000, nullable: true},
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target: {type: 'string', maxlength: 2000, nullable: false},
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resource_id: {type: 'string', maxlength: 24, nullable: true},
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resource_type: {type: 'string', maxlength: 50, nullable: true},
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created_at: {type: 'dateTime', nullable: false},
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payload: {type: 'text', maxlength: 65535, nullable: true},
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deleted: {type: 'boolean', nullable: false, defaultTo: false},
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verified: {type: 'boolean', nullable: false, defaultTo: false}
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*/
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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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