1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
|
import { Database } from "bun:sqlite";
import type { FullWordDataDB } from "./types";
import { SRSQueries } from "./srs";
export class Queries {
db: Database;
srs: SRSQueries;
constructor() {
const db = new Database("/home/y/code/bun/sorlang/bulkdata/unified.db");
db.exec("PRAGMA journal_mode = WAL"); // Enable Write-Ahead Logging for better performance
db.exec("PRAGMA foreign_keys = ON");
db.exec("PRAGMA cache_size = -8000"); // Increase cache size to 8MB
db.exec("PRAGMA mmap_size = 30000000000");
db.exec("PRAGMA temp_store = MEMORY"); // Store temp tables in memory
db.exec("PRAGMA synchronous = NORMAL"); // Slightly less safe but faster
this.db = db;
this.srs = new SRSQueries(db);
}
fetchExpressionById(id: number) {
const query = this.db.query(
`
SELECT * FROM expressions WHERE id = ?
`,
);
return query.get(id) as any;
}
fetchWordsByToneAndSyls1(tones: Array<string | null>) {
const toneString = tones
.reduce((acc: string, item) => {
if (!item) return `${acc},%`;
else return `${acc},${item}`;
}, "")
.slice(1);
const query = this.db.query(
`
WITH word_tone_sequences AS (
SELECT
wp.ipa,
GROUP_CONCAT(sy.text ORDER BY sw.idx) as syl_seq,
GROUP_CONCAT(t.name ORDER BY sw.idx) as tone_sequence,
COUNT(sw.syl_id) as syllable_count
FROM word_phonetics wp
JOIN syllables_words sw ON wp.id = sw.word_id
JOIN syllables sy ON sw.syl_id = sy.id
JOIN tones t ON sy.tone = t.id
GROUP BY wp.ipa
)
SELECT *
FROM word_tone_sequences
WHERE tone_sequence LIKE ?
AND syllable_count = ?
`,
);
return query.all(toneString, tones.length) as any[];
}
fetchWordsByToneAndSylsO(tones: Array<string | null>) {
const toneString = tones
.reduce((acc: string, item) => {
if (!item) return `${acc},%`;
else return `${acc},${item}`;
}, "")
.slice(1);
const query = this.db.query(
`
WITH word_tone_sequences AS (
SELECT
w.id as word_id,
w.spelling,
wp.ipa,
w.frequency,
GROUP_CONCAT(sy.text ORDER BY sw.idx) as syl_seq,
GROUP_CONCAT(t.name ORDER BY sw.idx) as tone_sequence,
COUNT(sw.syl_id) as syllable_count
FROM expressions w
JOIN word_phonetics wp ON w.id = wp.word_id
JOIN syllables_words sw ON wp.id = sw.word_id
JOIN syllables sy ON sw.syl_id = sy.id
JOIN tones t ON sy.tone = t.id
GROUP BY w.id, w.spelling, w.lang, w.frequency
)
SELECT word_id,
spelling,
ipa,
frequency,
syl_seq,
tone_sequence,
syllable_count
FROM word_tone_sequences
WHERE tone_sequence LIKE ?
AND syllable_count = ?
ORDER BY frequency ASC NULLS LAST;
`,
);
// TODO combine with this old query to get both phonetic and semantic data
// Thing is the tables have changed, used to be that the senses table had JSONB columns for senses, forms and related but those are now proper tables now with one-to-many relation to the senses table
return query.all(toneString, tones.length) as any[];
}
fetchWordsByToneAndSyls(tones: Array<string | null>): FullWordDataDB[] {
const toneString = tones
.reduce((acc: string, item) => {
if (!item) return `${acc},%`;
else return `${acc},${item}`;
}, "")
.slice(1);
const query = this.db.query(
`
WITH word_tone_sequences AS (
SELECT
w.id as word_id,
w.spelling,
wp.ipa,
w.frequency,
GROUP_CONCAT(sy.text ORDER BY sw.idx) as syl_seq,
GROUP_CONCAT(t.name ORDER BY sw.idx) as tone_sequence,
COUNT(sw.syl_id) as syllable_count,
(SELECT
json_group_array(json_object(
'id', s.id,
'pos', s.pos,
'etymology', s.etymology,
'confidence', s.confidence,
'glosses', (
SELECT json_group_array(ss.gloss)
FROM subsenses ss
WHERE ss.sid = s.id
),
'examples', (
SELECT json_group_array(json_object(
'example', ex.example,
'ref', ex.ref
))
FROM examples ex
WHERE ex.sid = s.id
),
'derivation', (
SELECT json_group_array(json_object(
'type', d.type,
'text', d.text,
'tags', d.tags
))
FROM derivation d
WHERE d.sid = s.id
),
'categories', (
SELECT json_group_array(wc.category)
FROM word_categories wc
WHERE wc.word_id = s.id
)
))
FROM senses s
WHERE s.parent_id = w.id
) as senses_array
FROM expressions w
JOIN word_phonetics wp ON w.id = wp.word_id
JOIN syllables_words sw ON wp.id = sw.word_id
JOIN syllables sy ON sw.syl_id = sy.id
JOIN tones t ON sy.tone = t.id
GROUP BY w.id, w.spelling, w.lang, w.frequency
)
SELECT *
FROM word_tone_sequences
WHERE tone_sequence LIKE ?
AND syllable_count = ?
ORDER BY frequency ASC NULLS LAST;
`,
);
// TODO combine with this old query to get both phonetic and semantic data
// Thing is the tables have changed, used to be that the senses table had JSONB columns for senses, forms and related but those are now proper tables now with one-to-many relation to the senses table
return query.all(toneString, tones.length) as any[];
}
// TODO combine with this old query to get both phonetic and semantic data
// Thing is the tables have changed, used to be that the senses table had JSONB columns for senses, forms and related but those are now proper tables now with one-to-many relation to the senses table
fetchSenses(spelling: string, lang: string) {
const query = this.db.query(`
WITH sense_data AS (
SELECT
s.*,
GROUP_CONCAT(DISTINCT ss.id || ':' || ss.gloss, '|') as subsenses_data,
GROUP_CONCAT(DISTINCT ex.id || ':' || ex.example || ':' || COALESCE(ex.ref, ''), '|') as examples_data,
GROUP_CONCAT(DISTINCT d.id || ':' || d.type || ':' || d.text, '|') as derivation_data,
GROUP_CONCAT(DISTINCT wc.category, '|') as categories_data
FROM senses s
LEFT JOIN subsenses ss ON ss.sid = s.id
LEFT JOIN examples ex ON ex.sid = s.id
LEFT JOIN derivation d ON d.sid = s.id
LEFT JOIN word_categories wc ON wc.word_id = s.id
GROUP BY s.id
)
SELECT e.*,
(SELECT
json_group_array(json_object(
'id', sd.id,
'pos', sd.pos,
'etymology', sd.etymology,
'confidence', sd.confidence,
'subsenses_data', sd.subsenses_data,
'examples_data', sd.examples_data,
'derivation_data', sd.derivation_data,
'categories_data', sd.categories_data
))
FROM sense_data sd
WHERE sd.parent_id = e.id
) as senses_array
FROM expressions e
WHERE e.spelling = ? AND e.lang = ?
ORDER BY e.frequency DESC`);
return query.all(spelling, lang);
}
}
export default Queries;
// `
// WITH word_tone_sequences AS (
// SELECT
// w.id as word_id,
// w.spelling,
// wp.ipa,
// w.frequency,
// s.etymology,
// s.pos,
// GROUP_CONCAT(s.text ORDER BY sw.idx) as syl_seq,
// GROUP_CONCAT(t.name ORDER BY sw.idx) as tone_sequence,
// // GROUP_CONCAT(t.name ORDER BY s.id) as senses,
// // GROUP_CONCAT(ex.example ORDER BY s.id) as examples,
// // GROUP_CONCAT(cat.category) as tags,
// COUNT(sw.syl_id) as syllable_count
// FROM expressions w
// JOIN word_phonetics wp ON w.id = wp.word_id
// JOIN syllables_words sw ON wp.id = sw.word_id
// JOIN syllables s ON sw.syl_id = s.id
// JOIN tones t ON s.tone = t.id
// JOIN senses s ON s.parent_id = w.id
// JOIN word_categories cat ON s.id = cat.word_id
// JOIN subsenses ss ON ss.sid = s.id
// JOIN examples ex ON ex.sid = s.id
// GROUP BY w.id, w.spelling, w.lang, w.frequency
// )
// SELECT
// word_id,
// spelling,
// ipa,
// frequency,
// syl_seq,
// tone_sequence,
// syllable_count
// FROM word_tone_sequences
// WHERE tone_sequence LIKE ?
// AND syllable_count = ?
// ORDER BY frequency ASC NULLS LAST;
// `
|
