116 lines
2.9 KiB
Plaintext
116 lines
2.9 KiB
Plaintext
import 'package:bang_navigator/features/bangs/data/database/drift/converters/bang_format.dart';
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import 'package:bang_navigator/features/bangs/data/models/bang_data.dart';
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import 'package:bang_navigator/features/bangs/data/models/bang.dart';
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CREATE TABLE bang (
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"trigger" TEXT PRIMARY KEY NOT NULL,
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"group" ENUM(BangGroup) NOT NULL,
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website_name TEXT NOT NULL,
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domain TEXT NOT NULL,
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url_template TEXT NOT NULL,
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category TEXT,
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sub_category TEXT,
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format TEXT MAPPED BY `const BangFormatConverter()`
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) WITH Bang;
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CREATE TABLE bang_sync (
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"group" ENUM(BangGroup) PRIMARY KEY NOT NULL,
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last_sync DATETIME NOT NULL
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);
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CREATE TABLE bang_frequency (
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"trigger" TEXT PRIMARY KEY NOT NULL REFERENCES bang ("trigger") ON DELETE CASCADE,
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frequency INTEGER NOT NULL,
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last_used DATETIME NOT NULL
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);
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CREATE TABLE bang_icon (
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"trigger" TEXT PRIMARY KEY NOT NULL REFERENCES bang ("trigger") ON DELETE CASCADE,
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icon_data BLOB NOT NULL,
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fetch_date DATETIME NOT NULL
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);
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CREATE VIRTUAL TABLE bang_fts
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USING fts5(
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trigger,
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website_name,
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content=bang,
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prefix='2 3'
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);
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CREATE VIEW bang_data_view WITH BangData AS
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SELECT
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b.*,
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bf.frequency,
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bf.last_used,
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bi.icon_data
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FROM
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bang b
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LEFT JOIN
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bang_frequency bf ON b."trigger" = bf."trigger"
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LEFT JOIN
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bang_icon bi ON b."trigger" = bi."trigger";
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-- Triggers to keep the FTS index up to date.
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CREATE TRIGGER bang_after_insert AFTER INSERT ON bang BEGIN
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INSERT INTO
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bang_fts(rowid, "trigger", website_name)
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VALUES (new.rowid, new."trigger", new.website_name);
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END;
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CREATE TRIGGER bang_after_delete AFTER DELETE ON bang BEGIN
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INSERT INTO
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bang_fts(bang_fts, rowid, "trigger", website_name)
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VALUES('delete', old.rowid, old."trigger", old.website_name);
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END;
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CREATE TRIGGER bang_after_update AFTER UPDATE ON bang BEGIN
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INSERT INTO
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bang_fts(bang_fts, rowid, "trigger", website_name)
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VALUES('delete', old.rowid, old."trigger", old.website_name);
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INSERT INTO
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bang_fts(rowid, "trigger", website_name)
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VALUES (new.rowid, new."trigger", new.website_name);
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END;
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optimizeFtsIndex:
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INSERT INTO bang_fts(bang_fts) VALUES ('optimize');
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bangQuery WITH BangData:
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SELECT
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b.*,
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bf.frequency,
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bf.last_used,
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bi.icon_data
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FROM
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bang_fts(:query) fts
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INNER JOIN
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bang b ON b.rowid = fts.rowid
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LEFT JOIN
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bang_frequency bf ON b."trigger" = bf."trigger"
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LEFT JOIN
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bang_icon bi ON b."trigger" = bi."trigger"
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ORDER BY
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RANK,
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bf.frequency NULLS LAST;
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categoriesJson:
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WITH categories AS (
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SELECT
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b.category,
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json_group_array(
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DISTINCT b.sub_category
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ORDER BY b.sub_category
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) AS sub_categories
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FROM
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bang b
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WHERE
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b.category IS NOT NULL AND
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b.sub_category IS NOT NULL
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GROUP BY b.category
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ORDER BY b.category
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)
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SELECT
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json_group_object(
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c.category,
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json(c.sub_categories)
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) AS categories_json
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FROM categories c; |