move glossary (def text) to a separate db file

This commit is contained in:
polv committed 2026-03-07 08:10:48 +07:00
1 parent 729f6635fc
commit afeb43fc2c
15 files changed
+687 -299

No files matched your search

Generated
-1
View File
@@ -639,7 +639,6 @@ version = "0.1.0"
dependencies = [
"anyhow",
"blake3",
"log",
"rusqlite",
"serde",
"serde_json",
-1
View File
@@ -14,6 +14,5 @@ thiserror = "2.0.18"
zip = "8.1.0"
blake3 = "1.8.3"
anyhow = "1.0.102"
log = "0.4.29"
vibrato = "0.5.2"
zstd = "0.13.3"
+3 -1
View File
@@ -13,7 +13,9 @@ use crate::common::get_vibrato_dict_dir;
fn main() -> Result<(), anyhow::Error> {
let service = AppService::new(get_db_dir(), get_vibrato_dict_dir())?;
let mut writer = service.get_yomitan_writer()?;
let mut writer = service.get_yomitan_writer(|p| {
println!("{:?}", p);
})?;
let zip_dir = Path::new("src-tauri/resources/yomitan");
println!("zip_dir: {:?}", absolute(zip_dir)); // Relative to workspace root
+57
View File
@@ -0,0 +1,57 @@
use anyhow::Ok;
mod common;
use common::get_db_dir;
use rusqlite::{Connection, params};
fn benchmark_dict_sizes(samples: &[String]) {
// 112640; // 110KB default gives the best 5.8x compression
for size in [16384, 65536, 112640, 524288] {
let total: usize = samples.iter().map(|s| s.len()).sum();
let min_total = size * 100;
println!(
"samples={} total={}KB min_required={}KB",
samples.len(),
total / 1024,
min_total / 1024
);
let dict = zstd::dict::from_samples(samples, size).unwrap();
let compressed_sizes: usize = samples
.iter()
.map(|s| {
zstd::bulk::Compressor::with_dictionary(3, &dict)
.unwrap()
.compress(s.as_bytes())
.unwrap()
.len()
})
.sum();
let original_sizes: usize = samples.iter().map(|s| s.len()).sum();
println!(
"dict={}KB ratio={:.1}x",
size / 1024,
original_sizes as f64 / compressed_sizes as f64
);
}
}
fn main() -> Result<(), anyhow::Error> {
let conn = Connection::open(get_db_dir().join("yomitan.db"))?;
let max_id: i64 = conn.query_row("SELECT MAX(id) FROM glossaries", [], |r| r.get(0))?;
let step = max_id / 1000;
let samples: Vec<String> = conn
.prepare("SELECT content FROM glossaries WHERE id % ?1 = 0 LIMIT 1000")?
.query_map(params![step], |r| r.get::<_, String>(0))?
.filter_map(|r| r.ok())
.collect();
println!("{} {}", step, samples.len());
benchmark_dict_sizes(&samples);
Ok(())
}
@@ -0,0 +1,79 @@
use anyhow::{Ok, Result};
mod common;
use common::get_db_dir;
use rusqlite::Connection;
#[allow(unused)]
fn benchmark_decompressor(conn: &Connection) -> Result<()> {
let zstd_dict: Vec<u8> =
conn.query_row("SELECT value FROM meta WHERE key = 'zstd_dict'", [], |r| {
r.get(0)
})?;
let samples: Vec<Vec<u8>> = conn
.prepare("SELECT b FROM glossaries WHERE id % 2111 = 0 LIMIT 100")?
.query_map([], |r| r.get::<_, Vec<u8>>(0))?
.filter_map(|r| r.ok())
.collect();
// benchmark: new decompressor per call
let start = std::time::Instant::now();
for sample in &samples {
let mut decompressor = zstd::bulk::Decompressor::with_dictionary(&zstd_dict)?;
let _ = decompressor.decompress(sample, 1024 * 1024)?;
}
// new decompressor per call: 75.002µs avg
let per_call = start.elapsed() / samples.len() as u32;
println!("new decompressor per call: {:?} avg", per_call);
// benchmark: reuse decompressor
let start = std::time::Instant::now();
let mut decompressor = zstd::bulk::Decompressor::with_dictionary(&zstd_dict)?;
for sample in &samples {
let _ = decompressor.decompress(sample, 1024 * 1024)?;
}
// reused decompressor: 44.231µs avg
let per_call = start.elapsed() / samples.len() as u32;
println!("reused decompressor: {:?} avg", per_call);
Ok(())
}
// measure your actual maximum
fn find_max_content_size(conn: &Connection) -> Result<()> {
// load dictionary once
let dict = conn.query_row("SELECT value FROM meta WHERE key = 'zstd_dict'", [], |r| {
r.get::<_, Vec<u8>>(0)
})?;
let (avg, max): (f64, i64) = conn.query_row(
"SELECT avg(length(b)), max(length(b)) FROM glossaries",
[],
|r| rusqlite::Result::Ok((r.get(0)?, r.get(1)?)),
)?;
println!("avg compressed: {:.0} bytes", avg);
println!("max compressed: {} bytes", max);
// decompress the largest one to find actual max decompressed size
let largest: Vec<u8> = conn.query_row(
"SELECT b FROM glossaries
WHERE length(b) = (SELECT max(length(b)) FROM glossaries)",
[],
|r| r.get(0),
)?;
// use a generous cap just to measure
let mut decompressor = zstd::bulk::Decompressor::with_dictionary(&dict)?;
let decompressed = decompressor.decompress(&largest, 100 * 1024 * 1024)?;
println!("max decompressed: {} bytes", decompressed.len());
Ok(())
}
fn main() -> Result<(), anyhow::Error> {
let conn = Connection::open(get_db_dir().join("yomitan-glossary.db"))?;
find_max_content_size(&conn)?;
Ok(())
}
+1
View File
@@ -4,6 +4,7 @@ pub fn get_db_dir() -> PathBuf {
PathBuf::from(r"C:\Users\HP\AppData\Roaming\cc.polv.cjdic2")
}
#[allow(unused)]
pub fn get_vibrato_dict_dir() -> PathBuf {
PathBuf::from("src-tauri/resources/naist-jdic-mecab/system.dic.zst")
}
+3 -1
View File
@@ -11,7 +11,9 @@ fn main() -> Result<(), anyhow::Error> {
{
let _timer = Timer::new("remove one".to_string());
let mut writer = service.get_yomitan_writer()?;
let mut writer = service.get_yomitan_writer(|p| {
println!("{:?}", p);
})?;
AppService::remove_yomitan_dictionary(&mut writer, "JMnedict.zip", "ja")?;
}
+3 -1
View File
@@ -11,7 +11,9 @@ fn main() -> Result<(), anyhow::Error> {
{
let _timer = Timer::new("update schema".to_string());
service.get_yomitan_writer()?;
service.get_yomitan_writer(|p| {
println!("{:?}", p);
})?;
}
Ok(())
+52 -18
View File
@@ -14,19 +14,24 @@ mod yomitan;
pub use yomitan::YomitanRow;
mod yomitan_writer;
pub use yomitan_writer::{
YomitanWriter, YomitanZipImportProgress, YomitanZipImportResult, ZipSource,
};
pub use yomitan_writer::{YomitanProgress, YomitanWriter, YomitanZipImportResult, ZipSource};
#[derive(Clone)]
pub(crate) struct Database {
pub(crate) conn: Arc<Mutex<Connection>>,
pub(crate) dir: PathBuf,
yomitan_attached: Arc<AtomicBool>,
yomitan_glossary_attached: Arc<AtomicBool>,
}
enum DbChild {
Yomitan,
YomitanGlossary,
}
const USER_DBFILE: &str = "user.db";
pub(crate) const YOMITAN_DBFILE: &str = "yomitan.db";
pub(crate) const YOMITAN_GLOSSARY_DBFILE: &str = "yomitan-glossary.db";
impl Database {
pub fn new(db_dir: impl AsRef<Path>) -> Result<Self> {
@@ -46,31 +51,55 @@ impl Database {
conn: Arc::new(Mutex::new(conn)),
dir,
yomitan_attached: Arc::new(AtomicBool::new(false)),
yomitan_glossary_attached: Arc::new(AtomicBool::new(false)),
})
}
pub fn yomitan(&self) -> Result<yomitan::YomitanDatabase> {
self.ensure_yomitan_attached()?;
self.ensure_db_attached(DbChild::Yomitan)?;
self.ensure_db_attached(DbChild::YomitanGlossary)?;
Ok(yomitan::YomitanDatabase::new(self.clone()))
}
fn ensure_yomitan_attached(&self) -> Result<()> {
if self.yomitan_attached.load(Ordering::Acquire) {
return Ok(());
fn ensure_db_attached(&self, db_child: DbChild) -> Result<()> {
match db_child {
DbChild::Yomitan => {
if self.yomitan_attached.load(Ordering::Acquire) {
return Ok(());
}
}
DbChild::YomitanGlossary => {
if self.yomitan_glossary_attached.load(Ordering::Acquire) {
return Ok(());
}
}
}
let conn = self.conn.lock().unwrap();
if !self.yomitan_attached.load(Ordering::Relaxed) {
let is_attached = match db_child {
DbChild::Yomitan => self.yomitan_attached.load(Ordering::Relaxed),
DbChild::YomitanGlossary => self.yomitan_glossary_attached.load(Ordering::Relaxed),
};
if !is_attached {
let dir = self.dir.clone();
let path = if self.dir.is_absolute() {
dir
} else {
current_dir()?.join(dir)
};
let path = path
.join(YOMITAN_DBFILE)
.to_string_lossy()
.replace(r"\", r"/");
let db_file = match db_child {
DbChild::Yomitan => YOMITAN_DBFILE,
DbChild::YomitanGlossary => YOMITAN_GLOSSARY_DBFILE,
};
let schema_name = match db_child {
DbChild::Yomitan => "yomitan",
DbChild::YomitanGlossary => "glossary",
};
let path = path.join(db_file).to_string_lossy().replace(r"\", r"/");
#[cfg(windows)]
let path = if !path.starts_with("/") {
@@ -81,15 +110,20 @@ impl Database {
let uri = format!("file:{}?mode=ro&immutable=1", path);
conn.execute("ATTACH DATABASE ?1 AS yomitan", [uri])?;
conn.execute_batch(
conn.execute(&format!("ATTACH DATABASE ?1 AS {}", schema_name), [uri])?;
conn.execute_batch(&format!(
r"
PRAGMA yomitan.mmap_size = 3000000000; -- 3_000_000_000
PRAGMA {}.mmap_size = 3000000000; -- 3_000_000_000
",
)?;
schema_name
))?;
self.yomitan_attached.store(true, Ordering::Release);
match db_child {
DbChild::Yomitan => self.yomitan_attached.store(true, Ordering::Release),
DbChild::YomitanGlossary => self
.yomitan_glossary_attached
.store(true, Ordering::Release),
};
}
Ok(())
+32 -7
View File
@@ -1,5 +1,6 @@
use rusqlite::{Result, params};
use serde::Serialize;
use zstd::bulk::Decompressor;
use crate::{
CJDicError, Timer,
@@ -14,6 +15,7 @@ pub struct YomitanRow {
rules: String,
score: i64,
glossary_json: String,
glossary_b: Vec<u8>,
sequence: Option<i64>,
term_tags: String,
dict_title: String,
@@ -28,6 +30,19 @@ impl YomitanDatabase {
Self { db }
}
fn decompressor(&self) -> Result<Decompressor<'_>, CJDicError> {
let conn = self.db.conn.lock().unwrap();
let row = conn.query_row(
"SELECT value FROM glossary.meta WHERE key = 'zstd_dict'",
[],
|r| r.get::<_, Vec<u8>>(0),
)?;
let decompressor = zstd::bulk::Decompressor::with_dictionary(&row)?;
Ok(decompressor)
}
pub fn search_yomitan(
&self,
q_term: &str,
@@ -37,6 +52,11 @@ impl YomitanDatabase {
) -> Result<Vec<YomitanRow>, CJDicError> {
let _timer = Timer::new(format!("search_yomitan: {} {}", q_term, q_reading));
// must be run before self.db.conn.lock()
let mut decompressor = self.decompressor()?;
// max decompressed: 90KB (compression ratio on largest: ~2.5x)
const MAX_DECOMPRESSED_SIZE: usize = 512 * 1024; // 512KB, ~5x headroom
let and_or = if q_term == q_reading { "OR" } else { "AND" };
let mut new_t = String::new();
@@ -60,7 +80,6 @@ impl YomitanDatabase {
let eq2 = if q_reading.len() > 0 { "GLOB" } else { "=" };
let conn = self.db.conn.lock().unwrap();
conn.execute_batch(
"
CREATE TEMP TABLE IF NOT EXISTS yomitan_lookup_keys (
@@ -104,7 +123,7 @@ impl YomitanDatabase {
// still the most time bottleneck step, several seconds
conn.execute(&sql_string, params![q_term_norm, q_reading, limit, offset])?;
// let _timer = Timer::new(format!("search_yomitan: {} {}", q_term, q_reading));
let _timer = Timer::new(format!("search_yomitan: {} {}", q_term, q_reading));
let mut stmt = conn.prepare(
"
SELECT
@@ -113,12 +132,12 @@ impl YomitanDatabase {
COALESCE(dt.tags, '') AS def_tags,
COALESCE(r.rules, '') AS rules,
t.score,
g.content AS glossary_json,
COALESCE(g.b, '[]') AS glossary,
t.sequence,
COALESCE(tt.tags, '') AS term_tags,
t.title AS dict_title
FROM yomitan_lookup_keys t
JOIN yomitan.glossaries g ON g.id = t.glossary_id
LEFT JOIN glossary.glossaries g ON g.id = t.glossary_id
LEFT JOIN yomitan.def_tag_sets dt ON dt.id = t.def_tags_id
LEFT JOIN yomitan.rule_sets r ON r.id = t.rules_id
LEFT JOIN yomitan.term_tag_sets tt ON tt.id = t.term_tags_id
@@ -131,7 +150,8 @@ impl YomitanDatabase {
def_tags: r.get(2)?,
rules: r.get(3)?,
score: r.get(4)?,
glossary_json: r.get(5)?,
glossary_json: String::new(),
glossary_b: r.get(5)?,
sequence: r.get(6)?,
term_tags: r.get(7)?,
dict_title: r.get(8)?,
@@ -139,8 +159,13 @@ impl YomitanDatabase {
})?;
let mut out = Vec::new();
for r in rows {
out.push(r?);
for row in rows {
let mut r = row?;
r.glossary_json =
String::from_utf8(decompressor.decompress(&r.glossary_b, MAX_DECOMPRESSED_SIZE)?)?;
r.glossary_b = vec![];
out.push(r);
}
Ok(out)
}
+411 -235
View File
@@ -1,16 +1,20 @@
use blake3::hash;
use rusqlite::{Connection, Result, Transaction, params};
use rusqlite::{Connection, OptionalExtension, Result, Transaction, params};
use serde::Serialize;
use serde_json::Value;
use std::{
borrow::Cow,
collections::HashMap,
env::current_dir,
io::{Cursor, Read},
path::{Path, PathBuf},
};
use zip::ZipArchive;
use crate::{CJDicError, Timer};
use crate::{
CJDicError, Timer,
db::{YOMITAN_DBFILE, YOMITAN_GLOSSARY_DBFILE},
};
fn blake3_hex(s: &str) -> String {
format!("{}", hash(s.as_bytes()))
@@ -39,11 +43,11 @@ impl ZipSource for PathBuf {
}
#[derive(Serialize, Debug, Clone)]
pub struct YomitanZipImportProgress {
pub struct YomitanProgress {
pub message: String,
pub current: u32,
pub total: u32,
pub steps: u64,
pub current: usize,
pub total: usize,
pub steps: usize,
}
#[derive(Serialize, Debug)]
@@ -54,11 +58,15 @@ pub struct YomitanZipImportResult {
}
pub struct YomitanWriter {
dir: PathBuf,
conn: Connection,
}
impl YomitanWriter {
pub fn new(conn: Connection) -> Result<Self> {
pub fn new(db_dir: impl AsRef<Path>) -> Result<Self> {
let dir = db_dir.as_ref().to_path_buf();
let conn = Connection::open(dir.join(YOMITAN_DBFILE))?;
conn.execute_batch(
"
PRAGMA journal_mode = WAL;
@@ -69,15 +77,13 @@ impl YomitanWriter {
",
)?;
Ok(Self { conn })
Ok(Self { dir, conn })
}
pub fn cleanup(&self) -> Result<()> {
self.conn.execute_batch("VACUUM")?;
Ok(())
}
pub fn create_schema(&mut self) -> Result<()> {
pub fn create_schema(
&mut self,
progress_callback: impl Fn(YomitanProgress),
) -> Result<(), CJDicError> {
self.conn.execute_batch(
"
CREATE TABLE IF NOT EXISTS schema_meta (
@@ -97,9 +103,9 @@ impl YomitanWriter {
lang TEXT NOT NULL, -- custom
UNIQUE (title, revision)
);
CREATE TABLE IF NOT EXISTS glossaries (
CREATE TABLE IF NOT EXISTS glossaries ( -- not used. moved to a new file
id INTEGER PRIMARY KEY,
hash TEXT NOT NULL UNIQUE,
hash TEXT NOT NULL UNIQUE, -- maybe used in the future for excerpts
content TEXT NOT NULL
);
CREATE TABLE IF NOT EXISTS def_tag_sets (id INTEGER PRIMARY KEY, tags TEXT NOT NULL UNIQUE);
@@ -168,14 +174,89 @@ impl YomitanWriter {
)?;
self.create_materialized_views()?;
self.attach_glossary()?;
let schema_version = "2";
let current_schema_version = {
let mut stmt = self
.conn
.prepare("SELECT value FROM schema_meta WHERE key = 'schema_version'")?;
stmt.query_one([], |r| r.get::<_, String>(0)).optional()?
};
if let Some(v) = current_schema_version {
if v < "2".to_string() {
let total = self
.conn
.query_row("SELECT MAX(id) FROM glossaries", [], |r| r.get::<_, i64>(0))?
as usize;
let message = &format!("migrate to {}", YOMITAN_GLOSSARY_DBFILE);
progress_callback(YomitanProgress {
message: message.to_string(),
current: 0,
total,
steps: 0,
});
let _timer = Timer::new(message.to_string());
let tx = self.conn.transaction()?;
{
let mut stmt = tx.prepare("SELECT id, hash, content FROM glossaries")?;
let rows = stmt.query_map([], |r| {
Ok((
r.get::<_, i64>(0)?,
r.get::<_, String>(1)?,
r.get::<_, String>(2)?,
))
})?;
let mut stmt_write = tx.prepare(
"INSERT INTO glossary.glossaries (id, hash, b) VALUES (?1, ?2, ?3)",
)?;
for (i, row) in rows.enumerate() {
let (id, hash, glossary_json) = row?;
stmt_write.execute(params![
id,
hash,
zstd::encode_all(glossary_json.as_bytes(), 3)?
])?;
if i % 1000 == 0 {
progress_callback(YomitanProgress {
message: message.to_string(),
current: i,
total,
steps: 0,
});
}
}
}
tx.commit()?;
self.hash_glossary()?;
let _timer = Timer::new(format!("cleanup for {}", YOMITAN_GLOSSARY_DBFILE));
self.conn.execute_batch(
"
UPDATE glossaries SET content = '[]';
VACUUM;
",
)?;
}
let mut stmt = self
.conn
.prepare("SELECT 1 FROM schema_meta WHERE key = 'schema_version'")?;
if stmt.exists([])? == false {
self.conn
.prepare("INSERT INTO schema_meta (key, value) VALUES ('schema_version', '1')")?
.execute([])?;
.prepare("UPDATE schema_meta SET value = ?2 WHERE key = ?1")?
.execute(["schema_version", schema_version])?;
} else {
self.conn
.prepare("INSERT INTO schema_meta (key, value) VALUES (?1, ?2)")?
.execute(["schema_version", schema_version])?;
self.conn
.prepare(
"INSERT INTO schema_meta (key, value) VALUES ('created_at', datetime('now'))",
@@ -263,6 +344,86 @@ impl YomitanWriter {
Ok(())
}
fn attach_glossary(&mut self) -> Result<(), CJDicError> {
let dir = self.dir.clone();
let path = if self.dir.is_absolute() {
dir
} else {
current_dir()?.join(dir)
};
let db_file = YOMITAN_GLOSSARY_DBFILE;
let schema_name = "glossary";
let path = path.join(db_file).to_string_lossy().replace(r"\", r"/");
#[cfg(windows)]
let path = if !path.starts_with("/") {
format!("/{}", path)
} else {
path.to_string()
};
let uri = format!("file:{}", path);
self.conn
.execute(&format!("ATTACH DATABASE ?1 AS {}", schema_name), [uri])?;
self.conn.execute_batch(&format!(
r"
PRAGMA {}.mmap_size = 3000000000; -- 3_000_000_000
",
schema_name
))?;
self.create_schema_glossary()?;
Ok(())
}
fn create_schema_glossary(&self) -> Result<()> {
self.conn.execute_batch(&format!(
"
CREATE TABLE IF NOT EXISTS glossary.meta (
key TEXT PRIMARY KEY,
value BLOB NOT NULL
);
CREATE TABLE IF NOT EXISTS glossary.glossaries (
id INTEGER PRIMARY KEY,
hash TEXT NOT NULL UNIQUE,
b BLOB NOT NULL
);
"
))?;
Ok(())
}
fn hash_glossary(&self) -> Result<(), CJDicError> {
let max_id: i64 =
self.conn
.query_row("SELECT MAX(id) FROM glossary.glossaries", [], |r| r.get(0))?;
let step = max_id / 1000;
let samples: Vec<Vec<u8>> = self
.conn
.prepare("SELECT b FROM glossary.glossaries WHERE id % ?1 = 0 LIMIT 1000")?
.query_map(params![step], |r| r.get::<_, Vec<u8>>(0))?
.filter_map(|r| r.ok())
.collect();
let dict_size = 112640; // 110KB default
let dictionary = zstd::dict::from_samples(&samples, dict_size)?;
self.conn.execute(
"INSERT OR REPLACE INTO glossary.meta (key, value) VALUES (?1, ?2)",
params!["zstd_dict", dictionary],
)?;
Ok(())
}
pub fn import_dictionary_zip_file<Z, Callback>(
&mut self,
zip_file: &Z,
@@ -271,7 +432,7 @@ impl YomitanWriter {
) -> anyhow::Result<YomitanZipImportResult, CJDicError>
where
Z: ZipSource,
Callback: Fn(YomitanZipImportProgress),
Callback: Fn(YomitanProgress),
{
let bundle_name = zip_file.file_name();
let _timer = Timer::new(format!("Importing {}", bundle_name));
@@ -298,8 +459,8 @@ impl YomitanWriter {
}
};
let mut steps: u64 = 0;
progress_callback(YomitanZipImportProgress {
let mut steps: usize = 0;
progress_callback(YomitanProgress {
message: format!("Opening {}", bundle_name),
current: 0,
total: 0,
@@ -351,247 +512,260 @@ impl YomitanWriter {
}
}
let tx = self.conn.transaction()?;
tx.execute(
"INSERT INTO dictionaries
(title, revision, author, url, description, lang, bundle_name) VALUES
( ?1, ?2, ?3, ?4, ?5, ?6, ?7)",
params![
title,
revision,
index_file.get("author").and_then(Value::as_str),
index_file.get("url").and_then(Value::as_str),
index_file.get("description").and_then(Value::as_str),
lang,
bundle_name,
],
)?;
self.attach_glossary()?;
let dict_id: i64 = tx.query_row("SELECT last_insert_rowid()", [], |r| r.get(0))?;
{
let tx = self.conn.transaction()?;
tx.execute(
"INSERT INTO dictionaries
(title, revision, author, url, description, lang, bundle_name) VALUES
( ?1, ?2, ?3, ?4, ?5, ?6, ?7)",
params![
title,
revision,
index_file.get("author").and_then(Value::as_str),
index_file.get("url").and_then(Value::as_str),
index_file.get("description").and_then(Value::as_str),
lang,
bundle_name,
],
)?;
// prepare statements
let insert_glossary = "INSERT OR IGNORE INTO glossaries (hash, content) VALUES (?1, ?2)";
let select_glossary = "SELECT id FROM glossaries WHERE hash = ?1";
let insert_def = "INSERT OR IGNORE INTO def_tag_sets (tags) VALUES (?1)";
let select_def = "SELECT id FROM def_tag_sets WHERE tags = ?1";
let insert_term_tags = "INSERT OR IGNORE INTO term_tag_sets (tags) VALUES (?1)";
let select_term_tags = "SELECT id FROM term_tag_sets WHERE tags = ?1";
let insert_rules = "INSERT OR IGNORE INTO rule_sets (rules) VALUES (?1)";
let select_rules = "SELECT id FROM rule_sets WHERE rules = ?1";
let insert_term = "INSERT INTO terms (dict_id, term, reading, def_tags_id, rules_id, score, glossary_id, sequence, term_tags_id) VALUES (?1,?2,?3,?4,?5,?6,?7,?8,?9)";
let insert_meta =
"INSERT INTO term_meta (dict_id, term, mode, reading, data) VALUES (?1,?2,?3,?4,?5)";
let insert_tag = "INSERT OR IGNORE INTO tags (dict_id, name, category, sort_order, notes, score) VALUES (?1,?2,?3,?4,?5,?6)";
let dict_id: i64 = tx.query_row("SELECT last_insert_rowid()", [], |r| r.get(0))?;
let mut glossary_cache: HashMap<String, i64> = HashMap::new();
let mut def_cache: HashMap<String, i64> = HashMap::new();
let mut term_tags_cache: HashMap<String, i64> = HashMap::new();
let mut rules_cache: HashMap<String, i64> = HashMap::new();
// prepare statements
let insert_glossary =
"INSERT OR IGNORE INTO glossary.glossaries (hash, b) VALUES (?1, ?2)";
let select_glossary = "SELECT id FROM glossary.glossaries WHERE hash = ?1";
let insert_def = "INSERT OR IGNORE INTO def_tag_sets (tags) VALUES (?1)";
let select_def = "SELECT id FROM def_tag_sets WHERE tags = ?1";
let insert_term_tags = "INSERT OR IGNORE INTO term_tag_sets (tags) VALUES (?1)";
let select_term_tags = "SELECT id FROM term_tag_sets WHERE tags = ?1";
let insert_rules = "INSERT OR IGNORE INTO rule_sets (rules) VALUES (?1)";
let select_rules = "SELECT id FROM rule_sets WHERE rules = ?1";
let insert_term = "INSERT INTO terms (dict_id, term, reading, def_tags_id, rules_id, score, glossary_id, sequence, term_tags_id) VALUES (?1,?2,?3,?4,?5,?6,?7,?8,?9)";
let insert_meta = "INSERT INTO term_meta (dict_id, term, mode, reading, data) VALUES (?1,?2,?3,?4,?5)";
let insert_tag = "INSERT OR IGNORE INTO tags (dict_id, name, category, sort_order, notes, score) VALUES (?1,?2,?3,?4,?5,?6)";
let mut n_bank: u32 = 0;
let mut glossary_cache: HashMap<String, i64> = HashMap::new();
let mut def_cache: HashMap<String, i64> = HashMap::new();
let mut term_tags_cache: HashMap<String, i64> = HashMap::new();
let mut rules_cache: HashMap<String, i64> = HashMap::new();
for filename in archive.file_names() {
let starts_with = "term_bank_";
let mut n_bank: usize = 0;
if filename.starts_with(starts_with) {
let text = filename.to_string();
let start_idx = starts_with.len();
for filename in archive.file_names() {
let starts_with = "term_bank_";
if let Some(stop_idx) = text[start_idx..].find(".") {
let sub = &text[start_idx..(start_idx + stop_idx)];
if let Some(i_bank) = sub.parse::<u32>().ok() {
if i_bank > n_bank {
n_bank = i_bank;
if filename.starts_with(starts_with) {
let text = filename.to_string();
let start_idx = starts_with.len();
if let Some(stop_idx) = text[start_idx..].find(".") {
let sub = &text[start_idx..(start_idx + stop_idx)];
if let Some(i_bank) = sub.parse::<usize>().ok() {
if i_bank > n_bank {
n_bank = i_bank;
}
}
}
}
}
}
// term banks
let mut bank_i = 1;
loop {
let name = format!("term_bank_{}.json", bank_i);
match archive.by_name(&name) {
Ok(mut f) => {
let mut s = String::new();
f.read_to_string(&mut s)?;
let entries: Vec<Value> = serde_json::from_str(&s)?;
// term banks
let mut bank_i = 1;
loop {
let name = format!("term_bank_{}.json", bank_i);
match archive.by_name(&name) {
Ok(mut f) => {
let mut s = String::new();
f.read_to_string(&mut s)?;
let entries: Vec<Value> = serde_json::from_str(&s)?;
steps += entries.len() as u64;
progress_callback(YomitanZipImportProgress {
message: format!("Reading term banks"),
current: bank_i,
total: n_bank,
steps,
});
steps += entries.len();
progress_callback(YomitanProgress {
message: format!("Reading term banks"),
current: bank_i,
total: n_bank,
steps,
});
for e in entries {
let term = e.get(0).and_then(Value::as_str).unwrap_or("");
let reading = e.get(1).and_then(Value::as_str).unwrap_or("");
let def_tags = e
.get(2)
.and_then(Value::as_str)
.map(|s| s.trim())
.filter(|s| !s.is_empty())
.map(|s| s.to_string());
let rules = e
.get(3)
.and_then(Value::as_str)
.map(|s| s.trim())
.filter(|s| !s.is_empty())
.map(|s| s.to_string());
let score = e.get(4).and_then(Value::as_i64).unwrap_or(0);
let glossary_val = e.get(5).cloned().unwrap_or(Value::Null);
let sequence = e.get(6).and_then(Value::as_i64);
let term_tags = e
.get(7)
.and_then(Value::as_str)
.map(|s| s.trim())
.filter(|s| !s.is_empty())
.map(|s| s.to_string());
for e in entries {
let term = e.get(0).and_then(Value::as_str).unwrap_or("");
let reading = e.get(1).and_then(Value::as_str).unwrap_or("");
let def_tags = e
.get(2)
.and_then(Value::as_str)
.map(|s| s.trim())
.filter(|s| !s.is_empty())
.map(|s| s.to_string());
let rules = e
.get(3)
.and_then(Value::as_str)
.map(|s| s.trim())
.filter(|s| !s.is_empty())
.map(|s| s.to_string());
let score = e.get(4).and_then(Value::as_i64).unwrap_or(0);
let glossary_val = e.get(5).cloned().unwrap_or(Value::Null);
let sequence = e.get(6).and_then(Value::as_i64);
let term_tags = e
.get(7)
.and_then(Value::as_str)
.map(|s| s.trim())
.filter(|s| !s.is_empty())
.map(|s| s.to_string());
let glossary_json = serde_json::to_string(&glossary_val)?;
let hash = blake3_hex(&glossary_json);
let glossary_id = if let Some(&id) = glossary_cache.get(&hash) {
id
} else {
tx.execute(insert_glossary, params![hash, glossary_json])?;
let id: i64 =
tx.query_row(select_glossary, params![hash], |r| r.get(0))?;
glossary_cache.insert(hash.clone(), id);
id
};
let glossary_json = serde_json::to_string(&glossary_val)?;
let hash = blake3_hex(&glossary_json);
let glossary_id = if let Some(&id) = glossary_cache.get(&hash) {
id
} else {
tx.execute(
insert_glossary,
params![hash, zstd::encode_all(glossary_json.as_bytes(), 3)?],
)?;
let id: i64 =
tx.query_row(select_glossary, params![hash], |r| r.get(0))?;
glossary_cache.insert(hash.clone(), id);
id
};
let def_id = if let Some(s) = def_tags.as_deref() {
intern(&tx, insert_def, select_def, &mut def_cache, s)?
} else {
0
};
let rules_id = if let Some(s) = rules.as_deref() {
intern(&tx, insert_rules, select_rules, &mut rules_cache, s)?
} else {
0
};
let term_tags_id = if let Some(s) = term_tags.as_deref() {
intern(
&tx,
insert_term_tags,
select_term_tags,
&mut term_tags_cache,
s,
)?
} else {
0
};
let def_id = if let Some(s) = def_tags.as_deref() {
intern(&tx, insert_def, select_def, &mut def_cache, s)?
} else {
0
};
let rules_id = if let Some(s) = rules.as_deref() {
intern(&tx, insert_rules, select_rules, &mut rules_cache, s)?
} else {
0
};
let term_tags_id = if let Some(s) = term_tags.as_deref() {
intern(
&tx,
insert_term_tags,
select_term_tags,
&mut term_tags_cache,
s,
)?
} else {
0
};
tx.execute(
insert_term,
params![
dict_id,
term,
reading,
if def_id != 0 {
Some(def_id)
} else {
Option::<i64>::None
},
if rules_id != 0 {
Some(rules_id)
} else {
Option::<i64>::None
},
score,
glossary_id,
sequence,
if term_tags_id != 0 {
Some(term_tags_id)
} else {
Option::<i64>::None
},
],
)?;
tx.execute(
insert_term,
params![
dict_id,
term,
reading,
if def_id != 0 {
Some(def_id)
} else {
Option::<i64>::None
},
if rules_id != 0 {
Some(rules_id)
} else {
Option::<i64>::None
},
score,
glossary_id,
sequence,
if term_tags_id != 0 {
Some(term_tags_id)
} else {
Option::<i64>::None
},
],
)?;
}
bank_i += 1;
continue;
}
bank_i += 1;
continue;
Err(_) => break,
}
Err(_) => break,
}
}
steps += 1;
progress_callback(YomitanZipImportProgress {
message: format!("Reading term meta banks"),
current: 0,
total: 0,
steps,
});
steps += 1;
progress_callback(YomitanProgress {
message: format!("Reading term meta banks"),
current: 0,
total: 0,
steps,
});
// term_meta banks
let mut meta_i = 1;
loop {
let name = format!("term_meta_bank_{}.json", meta_i);
match archive.by_name(&name) {
Ok(mut f) => {
let mut s = String::new();
f.read_to_string(&mut s)?;
let entries: Vec<Value> = serde_json::from_str(&s)?;
for e in entries {
let term = e.get(0).and_then(Value::as_str).unwrap_or("");
let mode = e.get(1).and_then(Value::as_str).unwrap_or("");
let data = e.get(2).cloned().unwrap_or(Value::Null);
let reading = data
.get("reading")
.and_then(Value::as_str)
.map(|s| s.to_string());
tx.execute(
insert_meta,
params![dict_id, term, mode, reading, serde_json::to_string(&data)?],
)?;
// term_meta banks
let mut meta_i = 1;
loop {
let name = format!("term_meta_bank_{}.json", meta_i);
match archive.by_name(&name) {
Ok(mut f) => {
let mut s = String::new();
f.read_to_string(&mut s)?;
let entries: Vec<Value> = serde_json::from_str(&s)?;
for e in entries {
let term = e.get(0).and_then(Value::as_str).unwrap_or("");
let mode = e.get(1).and_then(Value::as_str).unwrap_or("");
let data = e.get(2).cloned().unwrap_or(Value::Null);
let reading = data
.get("reading")
.and_then(Value::as_str)
.map(|s| s.to_string());
tx.execute(
insert_meta,
params![
dict_id,
term,
mode,
reading,
serde_json::to_string(&data)?
],
)?;
}
meta_i += 1;
continue;
}
meta_i += 1;
continue;
Err(_) => break,
}
Err(_) => break,
}
}
steps += 1;
progress_callback(YomitanZipImportProgress {
message: format!("Reading tag banks"),
current: 0,
total: 0,
steps,
});
steps += 1;
progress_callback(YomitanProgress {
message: format!("Reading tag banks"),
current: 0,
total: 0,
steps,
});
// tag banks
let mut tag_i = 1;
loop {
let name = format!("tag_bank_{}.json", tag_i);
match archive.by_name(&name) {
Ok(mut f) => {
let mut s = String::new();
f.read_to_string(&mut s)?;
let entries: Vec<Value> = serde_json::from_str(&s)?;
for e in entries {
let name = e.get(0).and_then(Value::as_str).unwrap_or("");
let category = e.get(1).and_then(Value::as_str);
let sort_order = e.get(2).and_then(Value::as_i64).unwrap_or(0);
let notes = e.get(3).and_then(Value::as_str);
let tag_score = e.get(4).and_then(Value::as_i64).unwrap_or(0);
tx.execute(
insert_tag,
params![dict_id, name, category, sort_order, notes, tag_score],
)?;
// tag banks
let mut tag_i = 1;
loop {
let name = format!("tag_bank_{}.json", tag_i);
match archive.by_name(&name) {
Ok(mut f) => {
let mut s = String::new();
f.read_to_string(&mut s)?;
let entries: Vec<Value> = serde_json::from_str(&s)?;
for e in entries {
let name = e.get(0).and_then(Value::as_str).unwrap_or("");
let category = e.get(1).and_then(Value::as_str);
let sort_order = e.get(2).and_then(Value::as_i64).unwrap_or(0);
let notes = e.get(3).and_then(Value::as_str);
let tag_score = e.get(4).and_then(Value::as_i64).unwrap_or(0);
tx.execute(
insert_tag,
params![dict_id, name, category, sort_order, notes, tag_score],
)?;
}
tag_i += 1;
continue;
}
tag_i += 1;
continue;
Err(_) => break,
}
Err(_) => break,
}
}
tx.commit()?;
tx.commit()?;
}
self.conn.execute_batch(
"
@@ -600,6 +774,8 @@ impl YomitanWriter {
",
)?; // < 1 ms
self.hash_glossary()?;
// self.conn.execute_batch("VACUUM;")?; // Not needed, twice time taken than import
Ok(YomitanZipImportResult {
+18 -6
View File
@@ -1,3 +1,5 @@
use std::string::FromUtf8Error;
use serde::Serialize;
use thiserror::Error;
use vibrato::errors::VibratoError;
@@ -27,6 +29,9 @@ pub enum CJDicError {
#[error("Vibrato error: {0}")]
VibratoError(String),
#[error("FromUtf8Error: {0}")]
FromUtf8Error(String),
#[error("Not found")]
NotFound,
@@ -36,42 +41,49 @@ pub enum CJDicError {
impl From<rusqlite::Error> for CJDicError {
fn from(e: rusqlite::Error) -> Self {
log::error!("{e:#}");
eprintln!("{e:#}");
CJDicError::Database(e.to_string())
}
}
impl From<serde_json::Error> for CJDicError {
fn from(e: serde_json::Error) -> Self {
log::error!("{e:#}");
eprintln!("{e:#}");
CJDicError::Serialization(e.to_string())
}
}
impl From<anyhow::Error> for CJDicError {
fn from(e: anyhow::Error) -> Self {
log::error!("{e:#}");
eprintln!("{e:#}");
CJDicError::AnyhowError(e.to_string())
}
}
impl From<std::io::Error> for CJDicError {
fn from(e: std::io::Error) -> Self {
log::error!("{e:#}");
eprintln!("{e:#}");
CJDicError::IOError(e.to_string())
}
}
impl From<ZipError> for CJDicError {
fn from(e: ZipError) -> Self {
log::error!("{e:#}");
eprintln!("{e:#}");
CJDicError::ZipError(e.to_string())
}
}
impl From<VibratoError> for CJDicError {
fn from(e: VibratoError) -> Self {
log::error!("{e:#}");
eprintln!("{e:#}");
CJDicError::VibratoError(e.to_string())
}
}
impl From<FromUtf8Error> for CJDicError {
fn from(e: FromUtf8Error) -> Self {
eprintln!("{e:#}");
CJDicError::FromUtf8Error(e.to_string())
}
}
+1 -1
View File
@@ -3,7 +3,7 @@ mod error;
mod service;
mod util;
pub use db::{YomitanRow, YomitanZipImportProgress, YomitanZipImportResult, ZipSource};
pub use db::{YomitanProgress, YomitanRow, YomitanZipImportResult, ZipSource};
pub use error::CJDicError;
pub use service::{AppService, SqlParam, TokenizeSegment};
pub use util::Timer;
+20 -25
View File
@@ -11,7 +11,7 @@ use vibrato::{Dictionary, Tokenizer};
use crate::{
Timer, ZipSource,
db::{
Database, YOMITAN_DBFILE, YomitanRow, YomitanWriter, YomitanZipImportProgress,
Database, YOMITAN_DBFILE, YomitanProgress, YomitanRow, YomitanWriter,
YomitanZipImportResult,
},
error::CJDicError,
@@ -149,17 +149,12 @@ impl AppService {
.search_yomitan(q_term, q_reading, limit, offset)?)
}
pub fn get_yomitan_writer(&self) -> Result<YomitanWriter, CJDicError> {
let conn = Connection::open(self.db.dir.join(YOMITAN_DBFILE))?;
let mut writer = YomitanWriter::new(conn)?;
writer.create_schema()?;
Ok(writer)
}
pub fn cleanup_yomitan_writer(&self) -> Result<YomitanWriter, CJDicError> {
let conn = Connection::open(self.db.dir.join(YOMITAN_DBFILE))?;
let writer = YomitanWriter::new(conn)?;
writer.cleanup()?;
pub fn get_yomitan_writer(
&self,
progress_callback: impl Fn(YomitanProgress),
) -> Result<YomitanWriter, CJDicError> {
let mut writer = YomitanWriter::new(self.db.dir.clone())?;
writer.create_schema(&progress_callback)?;
Ok(writer)
}
@@ -173,7 +168,7 @@ impl AppService {
where
Z: ZipSource,
LoadCallback: Fn(LoadYomitanZipDirResult),
ImportCallback: Fn(YomitanZipImportProgress),
ImportCallback: Fn(YomitanProgress),
{
let mut dir_zip_map: HashMap<String, &Z> = HashMap::new();
let mut zip_dir_ord: HashMap<String, usize> = HashMap::new();
@@ -184,17 +179,13 @@ impl AppService {
zip_dir_ord.insert(filename.to_string(), i);
}
{
let conn = Connection::open(self.db.dir.join(YOMITAN_DBFILE))?;
let mut writer = YomitanWriter::new(conn)?;
writer.create_schema()?;
}
let mut new_dicts: Vec<String> = vec![];
let mut to_be_removed_dicts: Vec<String> = vec![];
{
let conn = Connection::open(self.db.dir.join(YOMITAN_DBFILE))?;
let db_path = self.db.dir.join(YOMITAN_DBFILE);
if db_path.exists() {
let conn = Connection::open(&db_path)?;
let mut stmt =
conn.prepare("SELECT DISTINCT bundle_name FROM dictionaries WHERE lang = ?1")?;
let mut rows = stmt.query([lang])?;
@@ -228,7 +219,12 @@ impl AppService {
});
{
let conn = Connection::open(self.db.dir.join(YOMITAN_DBFILE))?;
let mut writer = YomitanWriter::new(self.db.dir.clone())?;
writer.create_schema(&import_callback)?;
}
{
let conn = Connection::open(&db_path)?;
for z in to_be_removed_dicts.clone().iter() {
conn.execute(
"DELETE FROM dictionaries WHERE bundle_name = ?1 AND lang = ?2",
@@ -238,8 +234,7 @@ impl AppService {
}
{
let conn = Connection::open(self.db.dir.join(YOMITAN_DBFILE))?;
let mut writer = YomitanWriter::new(conn)?;
let mut writer = YomitanWriter::new(self.db.dir.clone())?;
for z in new_dicts.clone().iter() {
if let Some(zip_file) = dir_zip_map.get(z) {
@@ -262,7 +257,7 @@ impl AppService {
) -> Result<YomitanZipImportResult, CJDicError>
where
Z: ZipSource,
Callback: Fn(YomitanZipImportProgress),
Callback: Fn(YomitanProgress),
{
Ok(writer.import_dictionary_zip_file(zip_file, lang, progress_callback)?)
}
+7 -2
View File
@@ -97,7 +97,9 @@ pub async fn import_yomitan_dict(
data_dir.push(lang);
data_dir.push(bundle_name);
let mut writer = state.get_yomitan_writer()?;
let mut writer = state.get_yomitan_writer(|r| {
app.emit("yomitan-import-progress", r).unwrap();
})?;
AppService::import_yomitan_zip_file(&mut writer, &data_dir, lang, |r| {
app.emit("yomitan-import-progress", r).unwrap();
})
@@ -105,11 +107,14 @@ pub async fn import_yomitan_dict(
#[tauri::command]
pub async fn remove_yomitan_dict(
app: AppHandle,
bundle_name: &str,
lang: &str,
state: tauri::State<'_, AppService>,
) -> Result<(), CJDicError> {
let mut writer = state.get_yomitan_writer()?;
let mut writer = state.get_yomitan_writer(|r| {
app.emit("yomitan-import-progress", r).unwrap();
})?;
AppService::remove_yomitan_dictionary(&mut writer, bundle_name, lang)
}