import I18n from "I18n"; import { translateResults, searchContextDescription } from "discourse/lib/search"; QUnit.module("lib:search"); QUnit.test("unescapesEmojisInBlurbs", assert => { const source = { posts: [ { id: 160, username: "pmusaraj", avatar_template: "/user_avatar/localhost/pmusaraj/{size}/3_2.png", created_at: "2019-07-22T03:47:04.864Z", like_count: 1, blurb: ":thinking: This here is a test of emojis in search blurbs.", post_number: 1, topic_id: 41 } ], topics: [], users: [], categories: [], tags: [], groups: [], grouped_search_result: false }; const results = translateResults(source); const blurb = results.posts[0].get("blurb"); assert.ok(blurb.indexOf("thinking.png")); assert.ok(blurb.indexOf(" { assert.equal( searchContextDescription("topic"), I18n.t("search.context.topic") ); assert.equal( searchContextDescription("user", "silvio.dante"), I18n.t("search.context.user", { username: "silvio.dante" }) ); assert.equal( searchContextDescription("category", "staff"), I18n.t("search.context.category", { category: "staff" }) ); assert.equal( searchContextDescription("tag", "important"), I18n.t("search.context.tag", { tag: "important" }) ); assert.equal( searchContextDescription("private_messages"), I18n.t("search.context.private_messages") ); assert.equal(searchContextDescription("bad_type"), null); });