rewrite trendsworker with kysely and deno cron, format changes

src/controllers/api/trends.ts

@@ -5,12 +5,13 @@ import { Conf } from '@/config.ts';
 import { Time } from '@/utils.ts';
 import { stripTime } from '@/utils/time.ts';
 import { TrendsWorker } from '@/workers/trends.ts';
+import { Context } from 'hono';
 
-await TrendsWorker.open('data/trends.sqlite3');
+await TrendsWorker.setupCleanupJob();
 
 const limitSchema = z.coerce.number().catch(10).transform((value) => Math.min(Math.max(value, 0), 20));
 
-const trendingTagsController: AppController = async (c) => {
+const trendingTagsController: AppController = async (c: Context) => {
   const limit = limitSchema.parse(c.req.query('limit'));
   if (limit < 1) return c.json([]);
 
@@ -26,9 +27,9 @@ const trendingTagsController: AppController = async (c) => {
   });
 
   return c.json(
-    await Promise.all(tags.map(async ({ name, uses, accounts }) => ({
+    await Promise.all(tags.map(async ({ tag, uses, accounts }) => ({
-      name,
+      tag,
-      url: Conf.local(`/tags/${name}`),
+      url: Conf.local(`/tags/${tag}`),
       history: [
         // Use the full 24h query for the current day. Then use `offset: 1` to adjust for this below.
         // This result is more accurate than what Mastodon returns.
@@ -38,7 +39,7 @@ const trendingTagsController: AppController = async (c) => {
           uses: String(uses),
         },
         ...(await TrendsWorker.getTagHistory({
-          tag: name,
+          tag,
           since: lastWeek,
           until: now,
           limit: 6,

src/db/DittoTables.ts

@@ -10,10 +10,10 @@ export interface DittoTables {
 }
 
 interface TagUsageRow {
-  tag: string,
+  tag: string;
-  pubkey8: string,
+  pubkey8: string;
-  inserted_at: number
+  inserted_at: number;
-};
+}
 
 interface AuthorStatsRow {
   pubkey: string;

src/db/migrations/021_create_trends.ts

@@ -1,13 +1,13 @@
 import { Kysely, sql } from 'kysely';
 
 export async function up(db: Kysely<any>): Promise<void> {
-    await db.transaction().execute(async trx => {
+  await db.transaction().execute(async (trx) => {
     await trx.schema
       .createTable('trends_tag_usages')
       .ifNotExists()
-            .addColumn('tag', 'text', c => c.notNull().modifyEnd(sql`collate nocase`))
+      .addColumn('tag', 'text', (c) => c.notNull().modifyEnd(sql`collate nocase`))
-            .addColumn('pubkey8', 'text', c => c.notNull())
+      .addColumn('pubkey8', 'text', (c) => c.notNull())
-            .addColumn('inserted_at', 'integer', c => c.notNull())
+      .addColumn('inserted_at', 'integer', (c) => c.notNull())
       .execute();
 
     await trx.schema
@@ -17,12 +17,12 @@ export async function up(db: Kysely<any>): Promise<void> {
       .column('inserted_at')
       .column('tag')
       .execute();
-    })
+  });
 }
 
 export async function down(db: Kysely<any>): Promise<void> {
-    await db.transaction().execute(async trx => {
+  await db.transaction().execute(async (trx) => {
     await trx.schema.dropIndex('trends_idx_time_tag').ifExists().execute();
     await trx.schema.dropTable('trends_tag_usages').ifExists().execute();
-    })
+  });
 }

src/workers/trends.test.ts

@@ -1,9 +1,6 @@
 import { assertEquals } from '@std/assert';
-
 import { TrendsWorker } from './trends.ts';
 
-await TrendsWorker.open(':memory:');
-
 const p8 = (pubkey8: string) => `${pubkey8}00000000000000000000000000000000000000000000000000000000`;
 
 Deno.test('getTrendingTags', async () => {
@@ -19,9 +16,9 @@ Deno.test('getTrendingTags', async () => {
   });
 
   const expected = [
-    { name: 'ditto', accounts: 3, uses: 3 },
+    { tag: 'ditto', accounts: 3, uses: 3 },
-    { name: 'hello', accounts: 2, uses: 3 },
+    { tag: 'hello', accounts: 2, uses: 3 },
-    { name: 'yolo', accounts: 1, uses: 1 },
+    { tag: 'yolo', accounts: 1, uses: 1 },
   ];
 
   assertEquals(result, expected);

src/workers/trends.worker.ts

@@ -1,9 +1,10 @@
 import { NSchema } from '@nostrify/nostrify';
 import * as Comlink from 'comlink';
 
-import { Sqlite } from '@/deps.ts';
 import { hashtagSchema } from '@/schema.ts';
 import { generateDateRange, Time } from '@/utils/time.ts';
+import { DittoDB } from '@/db/DittoDB.ts';
+import { sql } from 'kysely';
 
 interface GetTrendingTagsOpts {
   since: Date;
@@ -20,73 +21,57 @@ interface GetTagHistoryOpts {
   offset?: number;
 }
 
-let db: Sqlite;
+const kysely = await DittoDB.getInstance();
 
 export const TrendsWorker = {
-  open(path: string) {
+  setupCleanupJob() {
-    db = new Sqlite(path);
+    Deno.cron('cleanup tag usages older than a week', { hour: { every: 1 } }, async () => {
-
-    db.execute(`
-      CREATE TABLE IF NOT EXISTS tag_usages (
-        tag TEXT NOT NULL COLLATE NOCASE,
-        pubkey8 TEXT NOT NULL,
-        inserted_at INTEGER NOT NULL
-      );
-
-      CREATE INDEX IF NOT EXISTS idx_time_tag ON tag_usages(inserted_at, tag);
-    `);
-
-    const cleanup = () => {
-      console.info('Cleaning up old tag usages...');
       const lastWeek = new Date(new Date().getTime() - Time.days(7));
-      this.cleanupTagUsages(lastWeek);
+      await this.cleanupTagUsages(lastWeek);
-    };
+    });
-
-    setInterval(cleanup, Time.hours(1));
-    cleanup();
   },
 
   /** Gets the most used hashtags between the date range. */
-  getTrendingTags({ since, until, limit = 10, threshold = 3 }: GetTrendingTagsOpts) {
+  async getTrendingTags({ since, until, limit = 10, threshold = 3 }: GetTrendingTagsOpts): Promise<{
-    return db.query<string[]>(
+    tag: string;
-      `
+    accounts: number;
-      SELECT tag, COUNT(DISTINCT pubkey8), COUNT(*)
+    uses: number;
-        FROM tag_usages
+  }[]> {
-        WHERE inserted_at >= ? AND inserted_at < ?
+    return await kysely.selectFrom('trends_tag_usages')
-        GROUP BY tag
+      .select(({ fn }) => [
-        HAVING COUNT(DISTINCT pubkey8) >= ?
+        'tag',
-        ORDER BY COUNT(DISTINCT pubkey8)
+        fn.agg<number>('count', ['pubkey8']).distinct().as('accounts'),
-        DESC LIMIT ?;
+        fn.countAll<number>().as('uses'),
-    `,
+      ])
-      [since, until, threshold, limit],
+      .where('inserted_at', '>=', since.valueOf())
-    ).map((row) => ({
+      .where('inserted_at', '<', until.valueOf())
-      name: row[0],
+      .groupBy('tag')
-      accounts: Number(row[1]),
+      .having((c) => c(c.fn.agg('count', ['pubkey8']).distinct(), '>=', threshold))
-      uses: Number(row[2]),
+      .orderBy((c) => c.fn.agg('count', ['pubkey8']).distinct(), 'desc')
-    }));
+      .limit(limit)
+      .execute();
   },
 
   /**
    * Gets the tag usage count for a specific tag.
    * It returns an array with counts for each date between the range.
    */
-  getTagHistory({ tag, since, until, limit = 7, offset = 0 }: GetTagHistoryOpts) {
+  async getTagHistory({ tag, since, until, limit = 7, offset = 0 }: GetTagHistoryOpts) {
-    const result = db.query<string[]>(
+    const result = await kysely
-      `
+      .selectFrom('trends_tag_usages')
-      SELECT date(inserted_at), COUNT(DISTINCT pubkey8), COUNT(*)
+      .select(({ fn }) => [
-        FROM tag_usages
+        'inserted_at',
-        WHERE tag = ? AND inserted_at >= ? AND inserted_at < ?
+        fn.agg<number>('count', ['pubkey8']).distinct().as('accounts'),
-        GROUP BY date(inserted_at)
+        fn.countAll<number>().as('uses'),
-        ORDER BY date(inserted_at) DESC
+      ])
-        LIMIT ?
+      .where('tag', '=', tag)
-        OFFSET ?;
+      .where('inserted_at', '>=', since.valueOf())
-    `,
+      .where('inserted_at', '<', until.valueOf())
-      [tag, since, until, limit, offset],
+      .groupBy(sql`inserted_at`)
-    ).map((row) => ({
+      .orderBy(sql`inserted_at`, 'desc')
-      day: new Date(row[0]),
+      .limit(limit)
-      accounts: Number(row[1]),
+      .offset(offset)
-      uses: Number(row[2]),
+      .execute();
-    }));
 
     /** Full date range between `since` and `until`. */
     const dateRange = generateDateRange(
@@ -96,26 +81,29 @@ export const TrendsWorker = {
 
     // Fill in missing dates with 0 usages.
     return dateRange.map((day) => {
-      const data = result.find((item) => item.day.getTime() === day.getTime());
+      const data = result.find((item) => new Date(item.inserted_at).getTime() === day.getTime());
-      return data || { day, accounts: 0, uses: 0 };
+      if (data) {
+        return { ...data, day: new Date(data.inserted_at) };
+      }
+      return { day, accounts: 0, uses: 0 };
     });
   },
 
-  addTagUsages(pubkey: string, hashtags: string[], date = new Date()): void {
+  async addTagUsages(pubkey: string, hashtags: string[], inserted_at = new Date().valueOf()): Promise<void> {
     const pubkey8 = NSchema.id().parse(pubkey).substring(0, 8);
     const tags = hashtagSchema.array().min(1).parse(hashtags);
 
-    db.query(
+    await kysely
-      'INSERT INTO tag_usages (tag, pubkey8, inserted_at) VALUES ' + tags.map(() => '(?, ?, ?)').join(', '),
+      .insertInto('trends_tag_usages')
-      tags.map((tag) => [tag, pubkey8, date]).flat(),
+      .values(tags.map((tag) => ({ tag, pubkey8, inserted_at })))
-    );
+      .execute();
   },
 
-  cleanupTagUsages(until: Date): void {
+  async cleanupTagUsages(until: Date): Promise<void> {
-    db.query(
+    await kysely
-      'DELETE FROM tag_usages WHERE inserted_at < ?',
+      .deleteFrom('trends_tag_usages')
-      [until],
+      .where('inserted_at', '<', until.valueOf())
-    );
+      .execute();
   },
 };