Files
MrbWebLibre/app/lib/features/bangs/data/database/database.drift
T
2025-02-20 12:27:34 +01:00

163 lines
4.2 KiB
Plaintext

import 'package:lensai/features/bangs/data/database/drift/converters/bang_format.dart';
import 'package:lensai/features/bangs/data/models/bang_data.dart';
import 'package:lensai/features/bangs/data/models/bang_group.dart';
import 'package:lensai/features/bangs/data/models/bang.dart';
import 'package:lensai/features/bangs/data/models/search_history_entry.dart';
CREATE TABLE bang (
"trigger" TEXT PRIMARY KEY NOT NULL,
"group" ENUM(BangGroup) NOT NULL,
website_name TEXT NOT NULL,
domain TEXT NOT NULL,
url_template TEXT NOT NULL,
category TEXT,
sub_category TEXT,
format TEXT MAPPED BY `const BangFormatConverter()`
) WITH Bang;
CREATE TABLE bang_sync (
"group" ENUM(BangGroup) PRIMARY KEY NOT NULL,
last_sync DATETIME NOT NULL
);
CREATE TABLE bang_frequency (
"trigger" TEXT PRIMARY KEY NOT NULL REFERENCES bang ("trigger") ON DELETE CASCADE,
frequency INTEGER NOT NULL,
last_used DATETIME NOT NULL
);
CREATE TABLE bang_history (
search_query TEXT UNIQUE NOT NULL,
"trigger" TEXT NOT NULL REFERENCES bang ("trigger"),
search_date DATETIME NOT NULL
);
CREATE VIRTUAL TABLE bang_fts
USING fts5(
trigger,
website_name,
content=bang,
prefix='2 3'
);
CREATE VIEW bang_data_view WITH BangData AS
SELECT
b.*,
bf.frequency,
bf.last_used
FROM
bang b
LEFT JOIN
bang_frequency bf ON b."trigger" = bf."trigger";
-- Triggers to keep the FTS index up to date.
CREATE TRIGGER bang_after_insert AFTER INSERT ON bang BEGIN
INSERT INTO
bang_fts(rowid, "trigger", website_name)
VALUES (new.rowid, new."trigger", new.website_name);
END;
CREATE TRIGGER bang_after_delete AFTER DELETE ON bang BEGIN
INSERT INTO
bang_fts(bang_fts, rowid, "trigger", website_name)
VALUES('delete', old.rowid, old."trigger", old.website_name);
END;
CREATE TRIGGER bang_after_update AFTER UPDATE ON bang BEGIN
INSERT INTO
bang_fts(bang_fts, rowid, "trigger", website_name)
VALUES('delete', old.rowid, old."trigger", old.website_name);
INSERT INTO
bang_fts(rowid, "trigger", website_name)
VALUES (new.rowid, new."trigger", new.website_name);
END;
optimizeFtsIndex:
INSERT INTO bang_fts(bang_fts) VALUES ('optimize');
queryBangs WITH BangData:
WITH weights AS (
SELECT
-- Customize these weights (higher = more important)
10.0 AS "trigger", -- Title matches are most important
5.0 AS website_name -- URL matches are quite important
)
SELECT
b.*,
bf.frequency,
bf.last_used,
bm25(bang_fts, weights."trigger", weights.website_name) AS weighted_rank
FROM
bang_fts(:query) fts
INNER JOIN
bang b ON b.rowid = fts.rowid
LEFT JOIN
bang_frequency bf ON b."trigger" = bf."trigger"
CROSS JOIN
weights
ORDER BY
weighted_rank ASC,
bf.frequency NULLS LAST;
queryBangsBasic WITH BangData:
WITH weights AS (
SELECT
-- Customize these weights (higher = more important)
10.0 AS "trigger", -- Title matches are most important
5.0 AS website_name -- URL matches are quite important
)
SELECT
b.*,
bf.frequency,
bf.last_used,
bm25(bang_fts, weights."trigger", weights.website_name) AS weighted_rank
FROM
bang_fts fts
INNER JOIN
bang b ON b.rowid = fts.rowid
LEFT JOIN
bang_frequency bf ON b."trigger" = bf."trigger"
CROSS JOIN
weights
WHERE
fts."trigger" LIKE :query OR
fts.website_name LIKE :query
ORDER BY
weighted_rank ASC,
bf.frequency NULLS LAST;
categoriesJson:
WITH categories AS (
SELECT
b.category,
json_group_array(
DISTINCT b.sub_category
ORDER BY b.sub_category
) AS sub_categories
FROM
bang b
WHERE
b.category IS NOT NULL AND
b.sub_category IS NOT NULL
GROUP BY b.category
ORDER BY b.category
)
SELECT
json_group_object(
c.category,
json(c.sub_categories)
) AS categories_json
FROM categories c;
searchHistoryEntries WITH SearchHistoryEntry:
SELECT *
FROM bang_history
ORDER BY search_date DESC
LIMIT :limit;
evictHistoryEntries:
DELETE FROM bang_history
WHERE rowid IN (
SELECT rowid
FROM bang_history
ORDER BY search_date DESC
LIMIT -1 OFFSET :limit
);