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