mirror of
https://github.com/patarapolw/cjdic2.git
synced 2026-11-09 17:39:35 +00:00
829 lines
30 KiB
Rust
829 lines
30 KiB
Rust
use blake3::hash;
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use rusqlite::{Connection, OptionalExtension, Result, Transaction, params};
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use serde::Serialize;
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use serde_json::Value;
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use std::{
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borrow::Cow,
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collections::HashMap,
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env::current_dir,
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io::{Cursor, Read},
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path::{Path, PathBuf},
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};
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use zip::ZipArchive;
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use crate::{
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CJDicError, Timer,
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db::{YOMITAN_DBFILE, YOMITAN_GLOSSARY_DBFILE},
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};
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fn blake3_hex(s: &str) -> String {
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format!("{}", hash(s.as_bytes()))
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}
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pub(super) fn normalize_term(s: &str) -> String {
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s.chars()
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.filter(|c| c.is_alphabetic())
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.flat_map(|c| c.to_lowercase())
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.collect()
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}
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pub trait ZipSource {
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fn file_name(&self) -> &str;
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fn bytes(&self) -> std::io::Result<Cow<'_, [u8]>>;
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}
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impl ZipSource for PathBuf {
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fn file_name(&self) -> &str {
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Path::file_name(self).and_then(|n| n.to_str()).unwrap_or("")
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}
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fn bytes(&self) -> std::io::Result<Cow<'_, [u8]>> {
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std::fs::read(self).map(Cow::Owned)
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}
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}
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#[derive(Serialize, Debug, Clone)]
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pub struct YomitanProgress {
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pub message: String,
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pub current: usize,
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pub total: usize,
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pub steps: usize,
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}
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#[derive(Serialize, Debug)]
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pub struct YomitanZipImportResult {
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pub exists: bool,
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pub load: bool,
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pub error: Option<String>,
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}
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pub struct YomitanWriter {
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dir: PathBuf,
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conn: Connection,
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}
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impl YomitanWriter {
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pub fn new(db_dir: impl AsRef<Path>) -> Result<Self> {
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let dir = db_dir.as_ref().to_path_buf();
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let conn = Connection::open(dir.join(YOMITAN_DBFILE))?;
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conn.execute_batch(
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"
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PRAGMA journal_mode = WAL;
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PRAGMA foreign_keys = ON;
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PRAGMA synchronous = NORMAL;
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PRAGMA cache_size = -65536;
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PRAGMA temp_store = MEMORY;
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",
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)?;
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Ok(Self { dir, conn })
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}
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pub fn create_schema(
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&mut self,
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progress_callback: impl Fn(YomitanProgress),
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) -> Result<(), CJDicError> {
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self.conn.execute_batch(
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"
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CREATE TABLE IF NOT EXISTS schema_meta (
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key TEXT PRIMARY KEY,
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value TEXT NOT NULL
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);
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CREATE TABLE IF NOT EXISTS dictionaries (
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id INTEGER PRIMARY KEY,
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title TEXT NOT NULL,
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revision TEXT NOT NULL,
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author TEXT,
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url TEXT,
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description TEXT,
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sort_order INTEGER NOT NULL DEFAULT 0,
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installed_at TEXT NOT NULL DEFAULT (datetime('now')),
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bundle_name TEXT, -- custom
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lang TEXT NOT NULL, -- custom
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UNIQUE (title, revision)
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);
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CREATE TABLE IF NOT EXISTS glossaries ( -- not used. moved to a new file
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id INTEGER PRIMARY KEY,
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hash TEXT NOT NULL UNIQUE, -- maybe used in the future for excerpts
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content TEXT NOT NULL
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);
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CREATE TABLE IF NOT EXISTS def_tag_sets (id INTEGER PRIMARY KEY, tags TEXT NOT NULL UNIQUE);
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CREATE TABLE IF NOT EXISTS term_tag_sets (id INTEGER PRIMARY KEY, tags TEXT NOT NULL UNIQUE);
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CREATE TABLE IF NOT EXISTS rule_sets (id INTEGER PRIMARY KEY, rules TEXT NOT NULL UNIQUE);
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CREATE TABLE IF NOT EXISTS terms (
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id INTEGER PRIMARY KEY,
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dict_id INTEGER NOT NULL REFERENCES dictionaries(id) ON DELETE CASCADE,
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term TEXT NOT NULL,
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reading TEXT NOT NULL,
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def_tags_id INTEGER,
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rules_id INTEGER,
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score INTEGER NOT NULL DEFAULT 0,
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glossary_id INTEGER NOT NULL REFERENCES glossaries(id),
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sequence INTEGER,
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term_tags_id INTEGER,
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term_norm TEXT -- custom
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);
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CREATE TABLE IF NOT EXISTS term_meta (
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id INTEGER PRIMARY KEY,
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dict_id INTEGER NOT NULL REFERENCES dictionaries(id) ON DELETE CASCADE,
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term TEXT NOT NULL,
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mode TEXT NOT NULL,
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reading TEXT,
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data TEXT NOT NULL
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);
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CREATE TABLE IF NOT EXISTS tags (
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id INTEGER PRIMARY KEY,
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dict_id INTEGER NOT NULL REFERENCES dictionaries(id) ON DELETE CASCADE,
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name TEXT NOT NULL,
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category TEXT,
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sort_order INTEGER NOT NULL DEFAULT 0,
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notes TEXT,
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score INTEGER NOT NULL DEFAULT 0,
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UNIQUE (dict_id, name)
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);
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CREATE TABLE IF NOT EXISTS kanji (
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id INTEGER PRIMARY KEY,
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dict_id INTEGER NOT NULL REFERENCES dictionaries(id) ON DELETE CASCADE,
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kanji TEXT NOT NULL,
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onyomi TEXT,
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kunyomi TEXT,
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tags TEXT,
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meanings TEXT NOT NULL DEFAULT '[]',
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stats TEXT NOT NULL DEFAULT '{}'
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);
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",
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)?;
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self.conn.execute_batch(
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"
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CREATE INDEX IF NOT EXISTS dictionaries_sort_order ON dictionaries (sort_order DESC);
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CREATE INDEX IF NOT EXISTS dictionaries_lang ON dictionaries (lang);
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CREATE INDEX IF NOT EXISTS terms_dict_id ON terms (dict_id);
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CREATE INDEX IF NOT EXISTS terms_term_norm ON terms (term_norm);
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CREATE INDEX IF NOT EXISTS terms_reading ON terms (reading);
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CREATE INDEX IF NOT EXISTS terms_term_reading_score ON terms(term, reading, score DESC);
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CREATE INDEX IF NOT EXISTS term_meta_dict_id ON term_meta (dict_id);
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CREATE INDEX IF NOT EXISTS tags_dict_id ON tags (dict_id);
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CREATE INDEX IF NOT EXISTS kanji_dict_id ON kanji (dict_id);
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",
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)?;
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self.create_materialized_views()?;
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self.attach_glossary()?;
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let schema_version = "2026-03-07";
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let current_schema_version = {
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let mut stmt = self
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.conn
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.prepare("SELECT value FROM schema_meta WHERE key = 'schema_version'")?;
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stmt.query_one([], |r| r.get::<_, String>(0)).optional()?
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};
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if let Some(v) = current_schema_version {
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if v < "2".to_string() {
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let total = self
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.conn
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.query_row("SELECT MAX(id) FROM glossaries", [], |r| r.get::<_, i64>(0))?
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as usize;
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let message = &format!("Migrate to {}", YOMITAN_GLOSSARY_DBFILE);
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progress_callback(YomitanProgress {
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message: message.to_string(),
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current: 0,
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total,
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steps: 0,
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});
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let _timer = Timer::new(message.to_string());
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let tx = self.conn.transaction()?;
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{
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let mut stmt = tx.prepare("SELECT id, hash, content FROM glossaries")?;
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let rows = stmt.query_map([], |r| {
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Ok((
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r.get::<_, i64>(0)?,
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r.get::<_, String>(1)?,
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r.get::<_, String>(2)?,
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))
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})?;
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let mut stmt_write = tx.prepare(
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"INSERT INTO glossary.glossaries (id, hash, b) VALUES (?1, ?2, ?3)",
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)?;
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for (i, row) in rows.enumerate() {
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let (id, hash, glossary_json) = row?;
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stmt_write.execute(params![
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id,
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hash,
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zstd::encode_all(glossary_json.as_bytes(), 3)?
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])?;
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if i % 1000 == 0 {
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progress_callback(YomitanProgress {
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message: message.to_string(),
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current: i,
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total,
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steps: i,
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});
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}
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}
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}
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tx.commit()?;
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progress_callback(YomitanProgress {
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message: message.to_string(),
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current: total,
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total,
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steps: total,
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});
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self.hash_glossary()?;
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progress_callback(YomitanProgress {
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message: "Cleaning up old glossary".to_string(),
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current: 0,
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total: 0,
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steps: total,
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});
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let _timer = Timer::new(format!("cleanup for {}", YOMITAN_GLOSSARY_DBFILE));
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self.conn.execute_batch(
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"
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UPDATE glossaries SET content = '[]';
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VACUUM;
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",
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)?;
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}
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if v < schema_version.to_string() {
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self.conn
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.prepare("UPDATE schema_meta SET value = ?2 WHERE key = ?1")?
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.execute(["schema_version", schema_version])?;
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}
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} else {
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self.conn
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.prepare("INSERT INTO schema_meta (key, value) VALUES (?1, ?2)")?
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.execute(["schema_version", schema_version])?;
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self.conn
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.prepare(
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"INSERT INTO schema_meta (key, value) VALUES ('created_at', datetime('now'))",
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)?
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.execute([])?;
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}
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Ok(())
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}
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fn create_materialized_views(&mut self) -> Result<()> {
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self.conn.execute_batch(
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"
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CREATE TABLE IF NOT EXISTS view_terms_term_rank (
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term TEXT NOT NULL,
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reading TEXT NOT NULL,
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max_score INTEGER NOT NULL,
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PRIMARY KEY (term, reading)
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);
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",
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)?;
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self.conn.execute_batch(
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"
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CREATE TRIGGER IF NOT EXISTS terms_max_score_after_insert
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AFTER INSERT ON terms
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WHEN NEW.score > 0
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-- This automatically excludes NULL (since NULL > 0 is false)
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BEGIN
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INSERT INTO view_terms_term_rank (term, reading, max_score)
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VALUES (NEW.term, NEW.reading, NEW.score)
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ON CONFLICT(term, reading)
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DO UPDATE SET max_score =
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CASE
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WHEN NEW.score > max_score
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THEN NEW.score
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ELSE max_score
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END;
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END;
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",
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)?;
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// no AFTER DELETE trigger yet. existence of max score is more important.
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{
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let mut stmt = self.conn.prepare("SELECT 1 FROM view_terms_term_rank")?;
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if !(stmt.exists([])?) {
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self.conn.execute_batch(
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"
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INSERT INTO view_terms_term_rank
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SELECT term, reading, MAX(score)
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FROM terms
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GROUP BY term, reading
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",
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)?;
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// 1.9 sec
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}
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}
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let tx = self.conn.transaction()?;
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{
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let mut stmt = tx.prepare("SELECT rowid, term FROM terms WHERE term_norm IS NULL")?;
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let rows = stmt.query_map([], |row| {
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Ok((row.get::<_, i64>(0)?, row.get::<_, String>(1)?))
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})?;
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let mut update_stmt = tx.prepare("UPDATE terms SET term_norm = ?1 WHERE rowid = ?2")?;
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for row in rows {
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let (rowid, term) = row?;
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let norm = normalize_term(&term); // your Unicode normalizer
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update_stmt.execute((&norm, rowid))?;
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}
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}
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tx.commit()?;
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// 5 sec
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self.conn.execute_batch(
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"
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CREATE INDEX IF NOT EXISTS terms_term_norm ON terms (term_norm);
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",
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)?;
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// 1 sec
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Ok(())
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}
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fn attach_glossary(&mut self) -> Result<(), CJDicError> {
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let dir = self.dir.clone();
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let path = if self.dir.is_absolute() {
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dir
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} else {
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current_dir()?.join(dir)
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};
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let db_file = YOMITAN_GLOSSARY_DBFILE;
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let schema_name = "glossary";
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let path = path.join(db_file).to_string_lossy().replace(r"\", r"/");
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#[cfg(windows)]
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let path = if !path.starts_with("/") {
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format!("/{}", path)
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} else {
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path.to_string()
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};
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let uri = format!("file:{}", path);
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self.conn
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.execute(&format!("ATTACH DATABASE ?1 AS {}", schema_name), [uri])?;
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self.conn.execute_batch(&format!(
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r"
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PRAGMA {}.mmap_size = 3000000000; -- 3_000_000_000
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",
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schema_name
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))?;
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self.create_schema_glossary()?;
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Ok(())
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}
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fn create_schema_glossary(&self) -> Result<()> {
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self.conn.execute_batch(&format!(
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"
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CREATE TABLE IF NOT EXISTS glossary.meta (
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key TEXT PRIMARY KEY,
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value BLOB NOT NULL
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);
|
|
|
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CREATE TABLE IF NOT EXISTS glossary.glossaries (
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id INTEGER PRIMARY KEY,
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hash TEXT NOT NULL UNIQUE,
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|
b BLOB NOT NULL
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);
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"
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))?;
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Ok(())
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}
|
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|
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fn hash_glossary(&self) -> Result<(), CJDicError> {
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let max_id: i64 =
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self.conn
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.query_row("SELECT MAX(id) FROM glossary.glossaries", [], |r| r.get(0))?;
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let step = max_id / 1000;
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|
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let samples: Vec<Vec<u8>> = self
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.conn
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.prepare("SELECT b FROM glossary.glossaries WHERE id % ?1 = 0 LIMIT 1000")?
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.query_map(params![step], |r| r.get::<_, Vec<u8>>(0))?
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.filter_map(|r| r.ok())
|
|
.collect();
|
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|
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let dict_size = 112640; // 110KB default
|
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let dictionary = zstd::dict::from_samples(&samples, dict_size)?;
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|
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self.conn.execute(
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"INSERT OR REPLACE INTO glossary.meta (key, value) VALUES (?1, ?2)",
|
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params!["zstd_dict", dictionary],
|
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)?;
|
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|
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Ok(())
|
|
}
|
|
|
|
pub fn import_dictionary_zip_file<Z, Callback>(
|
|
&mut self,
|
|
zip_file: &Z,
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lang: &str,
|
|
progress_callback: Callback,
|
|
) -> anyhow::Result<YomitanZipImportResult, CJDicError>
|
|
where
|
|
Z: ZipSource,
|
|
Callback: Fn(YomitanProgress),
|
|
{
|
|
let bundle_name = zip_file.file_name();
|
|
let _timer = Timer::new(format!("Importing {}", bundle_name));
|
|
|
|
self.conn.execute_batch("PRAGMA foreign_keys = off")?;
|
|
|
|
let cursor = Cursor::new(zip_file.bytes()?);
|
|
let mut archive = ZipArchive::new(cursor)?;
|
|
|
|
let index_file = match archive.by_name("index.json") {
|
|
Ok(mut f) => {
|
|
let mut s = String::new();
|
|
f.read_to_string(&mut s)?;
|
|
serde_json::from_str::<Value>(&s)?
|
|
}
|
|
Err(e) => {
|
|
// TODO: proper error handling
|
|
eprintln!("{}", e);
|
|
return Ok(YomitanZipImportResult {
|
|
exists: false,
|
|
load: false,
|
|
error: Some(format!("{}", e)),
|
|
});
|
|
}
|
|
};
|
|
|
|
let mut steps: usize = 0;
|
|
progress_callback(YomitanProgress {
|
|
message: format!("Opening {}", bundle_name),
|
|
current: 0,
|
|
total: 0,
|
|
steps,
|
|
});
|
|
|
|
fn remove_timestamp(s: &str) -> String {
|
|
if let Some(pos) = s.rfind('[') {
|
|
// Trim whitespace only before the '[' and return the substring
|
|
let trimmed_before_bracket = s[..pos].trim_end();
|
|
trimmed_before_bracket.to_string()
|
|
} else {
|
|
s.to_string() // Return the original string if no '[' is found
|
|
}
|
|
}
|
|
|
|
let title = remove_timestamp(
|
|
&index_file
|
|
.get("title")
|
|
.and_then(Value::as_str)
|
|
.unwrap_or("")
|
|
.to_string(),
|
|
);
|
|
|
|
let revision = index_file
|
|
.get("revision")
|
|
.and_then(Value::as_str)
|
|
.unwrap_or("")
|
|
.to_string();
|
|
|
|
{
|
|
let title: &str = &title;
|
|
// Skip if already installed
|
|
let mut stmt = self
|
|
.conn
|
|
.prepare("SELECT (revision < ?2) FROM dictionaries WHERE title = ?1")?;
|
|
let mut rows = stmt.query(params![title, revision])?;
|
|
if let Some(row) = rows.next()? {
|
|
let is_outdated: bool = row.get(0)?;
|
|
if is_outdated {
|
|
self.drop_dictionary(bundle_name, lang)?;
|
|
} else {
|
|
return Ok(YomitanZipImportResult {
|
|
exists: true,
|
|
load: false,
|
|
error: None,
|
|
});
|
|
}
|
|
}
|
|
}
|
|
|
|
self.attach_glossary()?;
|
|
|
|
{
|
|
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,
|
|
],
|
|
)?;
|
|
|
|
let dict_id: i64 = tx.query_row("SELECT last_insert_rowid()", [], |r| r.get(0))?;
|
|
|
|
// 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 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();
|
|
|
|
let mut n_bank: usize = 0;
|
|
|
|
for filename in archive.file_names() {
|
|
let starts_with = "term_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)?;
|
|
|
|
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());
|
|
|
|
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
|
|
};
|
|
|
|
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;
|
|
}
|
|
Err(_) => break,
|
|
}
|
|
}
|
|
|
|
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)?
|
|
],
|
|
)?;
|
|
}
|
|
meta_i += 1;
|
|
continue;
|
|
}
|
|
Err(_) => break,
|
|
}
|
|
}
|
|
|
|
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_i += 1;
|
|
continue;
|
|
}
|
|
Err(_) => break,
|
|
}
|
|
}
|
|
|
|
tx.commit()?;
|
|
}
|
|
|
|
self.conn.execute_batch(
|
|
"
|
|
PRAGMA foreign_keys = on;
|
|
PRAGMA check_foreign_keys;
|
|
",
|
|
)?; // < 1 ms
|
|
|
|
self.hash_glossary()?;
|
|
|
|
// self.conn.execute_batch("VACUUM;")?; // Not needed, twice time taken than import
|
|
|
|
Ok(YomitanZipImportResult {
|
|
exists: true,
|
|
load: true,
|
|
error: None,
|
|
})
|
|
}
|
|
|
|
pub fn drop_dictionary(&self, bundle_name: &str, lang: &str) -> Result<()> {
|
|
self.conn.execute(
|
|
"DELETE FROM dictionaries WHERE bundle_name = ?1 AND lang = ?2",
|
|
[bundle_name, lang],
|
|
)?;
|
|
|
|
Ok(())
|
|
}
|
|
}
|
|
|
|
fn intern(
|
|
tx: &Transaction,
|
|
insert_sql: &str,
|
|
select_sql: &str,
|
|
cache: &mut HashMap<String, i64>,
|
|
value: &str,
|
|
) -> rusqlite::Result<i64> {
|
|
if let Some(&v) = cache.get(value) {
|
|
return Ok(v);
|
|
}
|
|
tx.execute(insert_sql, [value])?;
|
|
let id: i64 = tx.query_row(select_sql, [value], |r| r.get(0))?;
|
|
cache.insert(value.to_string(), id);
|
|
Ok(id)
|
|
}
|