import { Comlink, Sqlite } from '@/deps.ts';
import { hashtagSchema } from '@/schema.ts';
import { nostrIdSchema } from '@/schemas/nostr.ts';
import { generateDateRange, Time } from '@/utils/time.ts';

interface GetTrendingTagsOpts {
  since: Date;
  until: Date;
  limit?: number;
  threshold?: number;
}

interface GetTagHistoryOpts {
  tag: string;
  since: Date;
  until: Date;
  limit?: number;
  offset?: number;
}

let db: Sqlite;

export const TrendsWorker = {
  open(path: string) {
    db = new Sqlite(path);

    db.execute(`
      CREATE TABLE IF NOT EXISTS tag_usages (
        tag TEXT NOT NULL COLLATE NOCASE,
        pubkey8 TEXT NOT NULL,
        inserted_at DATETIME 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);
    };

    setInterval(cleanup, Time.hours(1));
    cleanup();
  },

  /** Gets the most used hashtags between the date range. */
  getTrendingTags({ since, until, limit = 10, threshold = 3 }: GetTrendingTagsOpts) {
    return db.query<string[]>(
      `
      SELECT tag, COUNT(DISTINCT pubkey8), COUNT(*)
        FROM tag_usages
        WHERE inserted_at >= ? AND inserted_at < ?
        GROUP BY tag
        HAVING COUNT(DISTINCT pubkey8) >= ?
        ORDER BY COUNT(DISTINCT pubkey8)
        DESC LIMIT ?;
    `,
      [since, until, threshold, limit],
    ).map((row) => ({
      name: row[0],
      accounts: Number(row[1]),
      uses: Number(row[2]),
    }));
  },

  /**
   * 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) {
    const result = db.query<string[]>(
      `
      SELECT date(inserted_at), COUNT(DISTINCT pubkey8), COUNT(*)
        FROM tag_usages
        WHERE tag = ? AND inserted_at >= ? AND inserted_at < ?
        GROUP BY date(inserted_at)
        ORDER BY date(inserted_at) DESC
        LIMIT ?
        OFFSET ?;
    `,
      [tag, since, until, limit, offset],
    ).map((row) => ({
      day: new Date(row[0]),
      accounts: Number(row[1]),
      uses: Number(row[2]),
    }));

    /** Full date range between `since` and `until`. */
    const dateRange = generateDateRange(
      new Date(since.getTime() + Time.days(1)),
      new Date(until.getTime() - Time.days(offset)),
    ).reverse();

    // Fill in missing dates with 0 usages.
    return dateRange.map((day) => {
      const data = result.find((item) => item.day.getTime() === day.getTime());
      return data || { day, accounts: 0, uses: 0 };
    });
  },

  addTagUsages(pubkey: string, hashtags: string[], date = new Date()): void {
    const pubkey8 = nostrIdSchema.parse(pubkey).substring(0, 8);
    const tags = hashtagSchema.array().min(1).parse(hashtags);

    db.query(
      'INSERT INTO tag_usages (tag, pubkey8, inserted_at) VALUES ' + tags.map(() => '(?, ?, ?)').join(', '),
      tags.map((tag) => [tag, pubkey8, date]).flat(),
    );
  },

  cleanupTagUsages(until: Date): void {
    db.query(
      'DELETE FROM tag_usages WHERE inserted_at < ?',
      [until],
    );
  },
};

Comlink.expose(TrendsWorker);

self.postMessage('ready');