feat(V2-1a): Monorepo 구조 전환 — apps/desktop으로 V1 이동
- npm workspaces 루트 (apps/*, packages/*) 세팅 - V1 전체를 apps/desktop/으로 git mv (src, resources, tests, sidecar, scripts, electron.vite.config.ts, electron-builder.yml, vitest.config.ts, tsconfig.node.json, tsconfig.web.json) - apps/desktop/package.json 신규 (name=@d3ro/desktop) - productName: 'd3ro-voice' 명시 — app.getName()을 고정하여 userData 경로 %APPDATA%\d3ro-voice\ 그대로 유지 (기존 DB/설정 연속성 보장) - 루트 package.json을 workspace 루트로 재구성, 공통 devDep만 유지 (typescript, eslint, prettier) - turbo.json, tsconfig.base.json 추가 (Turborepo 자체 설치는 별도 sub-phase) - memory/project_status.md 생성 (규칙 13) 검증: - npm run typecheck 통과 - npm run build 통과 (electron-vite main+preload+renderer) - npm run dev 실제 실행 → DB/핫키/Ollama 자동 실행 모두 정상
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yunchan8804
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237
apps/desktop/src/main/db/index.ts
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237
apps/desktop/src/main/db/index.ts
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// src/main/db/index.ts
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// 설계서 03의 DB 초기화 코드
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import Database from 'better-sqlite3'
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import { drizzle, type BetterSQLite3Database } from 'drizzle-orm/better-sqlite3'
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import { app } from 'electron'
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import path from 'path'
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import * as schema from './schema'
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import { getLogger } from '../services/LoggerService'
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const logger = getLogger('database')
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let db: BetterSQLite3Database<typeof schema> | null = null
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let sqlite: Database.Database | null = null
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export function initDatabase(): BetterSQLite3Database<typeof schema> {
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const dbPath = path.join(app.getPath('userData'), 'd3ro-voice.db')
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logger.info(`Initializing database at: ${dbPath}`)
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sqlite = new Database(dbPath)
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sqlite.pragma('journal_mode = WAL')
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sqlite.pragma('foreign_keys = ON')
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sqlite.pragma('busy_timeout = 5000')
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// 테이블 생성 (마이그레이션 대신 직접 생성)
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sqlite.exec(`
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CREATE TABLE IF NOT EXISTS history (
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id TEXT PRIMARY KEY,
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original_text TEXT NOT NULL,
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polished_text TEXT,
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focused_app TEXT,
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focused_app_name TEXT,
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focused_app_window_title TEXT,
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mode TEXT NOT NULL DEFAULT 'dictation',
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status TEXT NOT NULL DEFAULT 'completed',
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error_code TEXT,
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audio_local_path TEXT,
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duration REAL NOT NULL,
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detected_language TEXT,
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mic_device TEXT,
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word_count INTEGER NOT NULL DEFAULT 0,
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stt_model TEXT,
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llm_model TEXT,
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stt_latency_ms INTEGER,
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llm_latency_ms INTEGER,
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created_at INTEGER NOT NULL,
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updated_at INTEGER NOT NULL,
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app_version TEXT NOT NULL DEFAULT '1.0.0'
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);
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CREATE INDEX IF NOT EXISTS idx_history_created_at ON history(created_at DESC);
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CREATE INDEX IF NOT EXISTS idx_history_status ON history(status);
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CREATE INDEX IF NOT EXISTS idx_history_detected_language ON history(detected_language);
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CREATE INDEX IF NOT EXISTS idx_history_focused_app_name ON history(focused_app_name);
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CREATE INDEX IF NOT EXISTS idx_history_mode ON history(mode);
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CREATE TABLE IF NOT EXISTS dictionary (
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id TEXT PRIMARY KEY,
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word TEXT NOT NULL,
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pronunciation TEXT,
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category TEXT NOT NULL DEFAULT 'user',
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usage_count INTEGER NOT NULL DEFAULT 0,
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last_used_at INTEGER,
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created_at INTEGER NOT NULL,
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updated_at INTEGER NOT NULL
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);
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CREATE UNIQUE INDEX IF NOT EXISTS idx_dictionary_word_category ON dictionary(word, category);
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CREATE INDEX IF NOT EXISTS idx_dictionary_created_at ON dictionary(created_at);
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CREATE INDEX IF NOT EXISTS idx_dictionary_usage_count ON dictionary(usage_count DESC);
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CREATE TABLE IF NOT EXISTS stats (
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id INTEGER PRIMARY KEY CHECK (id = 1),
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total_duration REAL NOT NULL DEFAULT 0,
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total_words INTEGER NOT NULL DEFAULT 0,
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session_count INTEGER NOT NULL DEFAULT 0,
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streak_days INTEGER NOT NULL DEFAULT 0,
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last_session_at INTEGER,
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last_updated INTEGER NOT NULL
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);
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INSERT OR IGNORE INTO stats (id, total_duration, total_words, session_count, streak_days, last_updated)
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VALUES (1, 0, 0, 0, 0, ${Date.now()});
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CREATE TABLE IF NOT EXISTS memo_tags (
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id TEXT PRIMARY KEY,
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history_id TEXT NOT NULL,
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tag TEXT NOT NULL,
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created_at INTEGER NOT NULL
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);
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CREATE UNIQUE INDEX IF NOT EXISTS idx_memo_tags_unique ON memo_tags(history_id, tag);
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CREATE INDEX IF NOT EXISTS idx_memo_tags_history_id ON memo_tags(history_id);
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CREATE INDEX IF NOT EXISTS idx_memo_tags_tag ON memo_tags(tag);
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CREATE TABLE IF NOT EXISTS daily_usage (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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date TEXT NOT NULL,
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feature TEXT NOT NULL,
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count INTEGER NOT NULL DEFAULT 0
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);
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CREATE UNIQUE INDEX IF NOT EXISTS idx_daily_usage_date_feature ON daily_usage(date, feature);
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CREATE INDEX IF NOT EXISTS idx_daily_usage_date ON daily_usage(date);
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`)
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// Phase 13.2: RAG 테이블 생성
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sqlite.exec(`
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CREATE TABLE IF NOT EXISTS rag_documents (
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id TEXT PRIMARY KEY,
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file_name TEXT NOT NULL,
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file_path TEXT NOT NULL,
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file_type TEXT NOT NULL,
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chunk_count INTEGER NOT NULL DEFAULT 0,
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indexed INTEGER NOT NULL DEFAULT 0,
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indexed_at INTEGER,
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added_at INTEGER NOT NULL
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);
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CREATE INDEX IF NOT EXISTS idx_rag_documents_added_at ON rag_documents(added_at);
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CREATE TABLE IF NOT EXISTS rag_chunks (
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id TEXT PRIMARY KEY,
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document_id TEXT NOT NULL,
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content TEXT NOT NULL,
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embedding TEXT NOT NULL,
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chunk_index INTEGER NOT NULL
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);
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CREATE INDEX IF NOT EXISTS idx_rag_chunks_document_id ON rag_chunks(document_id);
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`)
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// Phase 14: Meeting Mode 테이블 생성
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sqlite.exec(`
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CREATE TABLE IF NOT EXISTS meeting_sessions (
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id TEXT PRIMARY KEY,
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title TEXT,
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status TEXT NOT NULL DEFAULT 'recording',
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started_at INTEGER NOT NULL,
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ended_at INTEGER,
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duration_ms INTEGER,
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raw_transcript TEXT,
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minutes_markdown TEXT,
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minutes_json TEXT,
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stt_model TEXT,
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llm_model TEXT,
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stt_latency_ms INTEGER,
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llm_latency_ms INTEGER,
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error_message TEXT,
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created_at INTEGER NOT NULL,
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updated_at INTEGER NOT NULL
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);
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CREATE INDEX IF NOT EXISTS idx_meeting_sessions_created_at ON meeting_sessions(created_at DESC);
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CREATE INDEX IF NOT EXISTS idx_meeting_sessions_status ON meeting_sessions(status);
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CREATE TABLE IF NOT EXISTS meeting_memos (
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id TEXT PRIMARY KEY,
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session_id TEXT NOT NULL,
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content TEXT NOT NULL,
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timestamp_ms INTEGER NOT NULL,
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created_at INTEGER NOT NULL
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);
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CREATE INDEX IF NOT EXISTS idx_meeting_memos_session_id ON meeting_memos(session_id);
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CREATE INDEX IF NOT EXISTS idx_meeting_memos_timestamp ON meeting_memos(timestamp_ms);
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`)
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// Phase 14.5: meeting_documents 테이블 + edited_transcript 컬럼
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sqlite.exec(`
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CREATE TABLE IF NOT EXISTS meeting_documents (
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id TEXT PRIMARY KEY,
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session_id TEXT NOT NULL,
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template_type TEXT NOT NULL,
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title TEXT NOT NULL,
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content TEXT NOT NULL DEFAULT '',
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prompt_used TEXT,
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llm_model TEXT,
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llm_latency_ms INTEGER,
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created_at INTEGER NOT NULL,
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updated_at INTEGER NOT NULL
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);
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CREATE INDEX IF NOT EXISTS idx_meeting_documents_session_id ON meeting_documents(session_id);
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`)
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// Phase 14.5: meeting_sessions에 edited_transcript 컬럼 마이그레이션
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try {
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const msCols = sqlite.pragma('table_info(meeting_sessions)') as Array<{ name: string }>
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if (!msCols.some((c) => c.name === 'edited_transcript')) {
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sqlite.exec('ALTER TABLE meeting_sessions ADD COLUMN edited_transcript TEXT')
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logger.info('Migrated: added edited_transcript column to meeting_sessions')
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}
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} catch (err) {
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logger.warn('edited_transcript migration check failed:', err)
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}
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// Phase 15: history 테이블에 title 컬럼 마이그레이션
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try {
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const histCols = sqlite.pragma('table_info(history)') as Array<{ name: string }>
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if (!histCols.some((c) => c.name === 'title')) {
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sqlite.exec('ALTER TABLE history ADD COLUMN title TEXT')
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logger.info('Migrated: added title column to history')
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}
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} catch (err) {
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logger.warn('title migration check failed:', err)
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}
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// Phase 12.2: history 테이블에 summary_text 컬럼 마이그레이션
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try {
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const columns = sqlite.pragma('table_info(history)') as Array<{ name: string }>
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const hasSummaryText = columns.some((c) => c.name === 'summary_text')
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if (!hasSummaryText) {
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sqlite.exec('ALTER TABLE history ADD COLUMN summary_text TEXT')
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logger.info('Migrated: added summary_text column to history')
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}
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} catch (err) {
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logger.warn('summary_text migration check failed:', err)
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}
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db = drizzle(sqlite, { schema })
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logger.info('Database initialized')
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return db
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}
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export function getDatabase(): BetterSQLite3Database<typeof schema> {
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if (!db) {
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throw new Error('Database not initialized. Call initDatabase() first.')
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}
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return db
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}
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export function closeDatabase(): void {
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if (sqlite) {
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sqlite.close()
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sqlite = null
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db = null
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logger.info('Database closed')
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}
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}
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237
apps/desktop/src/main/db/schema.ts
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237
apps/desktop/src/main/db/schema.ts
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// src/main/db/schema.ts
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// 설계서 03의 drizzle-orm 스키마 정의
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import { sqliteTable, text, integer, real, index, uniqueIndex } from 'drizzle-orm/sqlite-core'
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// ── history ──────────────────────────────────────────────
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export const history = sqliteTable(
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'history',
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{
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id: text('id').primaryKey(),
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title: text('title'),
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originalText: text('original_text').notNull(),
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polishedText: text('polished_text'),
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focusedApp: text('focused_app'),
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focusedAppName: text('focused_app_name'),
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focusedAppWindowTitle: text('focused_app_window_title'),
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mode: text('mode', { enum: ['dictation', 'translate', 'command', 'caption', 'file-transcription'] })
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.notNull()
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.default('dictation'),
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status: text('status', { enum: ['completed', 'cancelled', 'error'] })
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.notNull()
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.default('completed'),
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errorCode: text('error_code'),
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audioLocalPath: text('audio_local_path'),
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duration: real('duration').notNull(),
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detectedLanguage: text('detected_language'),
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micDevice: text('mic_device'),
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wordCount: integer('word_count').notNull().default(0),
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sttModel: text('stt_model'),
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llmModel: text('llm_model'),
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sttLatencyMs: integer('stt_latency_ms'),
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llmLatencyMs: integer('llm_latency_ms'),
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createdAt: integer('created_at').notNull(),
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updatedAt: integer('updated_at').notNull(),
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appVersion: text('app_version').notNull().default('1.0.0'),
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/** Phase 12.2: 회의록 자동 요약 텍스트 (마크다운) */
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summaryText: text('summary_text'),
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},
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(table) => [
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index('idx_history_created_at').on(table.createdAt),
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index('idx_history_status').on(table.status),
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index('idx_history_detected_language').on(table.detectedLanguage),
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index('idx_history_focused_app_name').on(table.focusedAppName),
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index('idx_history_mode').on(table.mode)
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]
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)
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// ── dictionary ───────────────────────────────────────────
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export const dictionary = sqliteTable(
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'dictionary',
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{
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id: text('id').primaryKey(),
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word: text('word').notNull(),
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pronunciation: text('pronunciation'),
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category: text('category', { enum: ['user', 'auto', 'technical'] })
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.notNull()
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.default('user'),
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usageCount: integer('usage_count').notNull().default(0),
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lastUsedAt: integer('last_used_at'),
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createdAt: integer('created_at').notNull(),
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updatedAt: integer('updated_at').notNull()
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},
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(table) => [
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uniqueIndex('idx_dictionary_word_category').on(table.word, table.category),
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index('idx_dictionary_created_at').on(table.createdAt),
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index('idx_dictionary_usage_count').on(table.usageCount)
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]
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)
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// ── stats ────────────────────────────────────────────────
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export const stats = sqliteTable('stats', {
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id: integer('id').primaryKey(),
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totalDuration: real('total_duration').notNull().default(0),
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totalWords: integer('total_words').notNull().default(0),
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sessionCount: integer('session_count').notNull().default(0),
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streakDays: integer('streak_days').notNull().default(0),
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lastSessionAt: integer('last_session_at'),
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lastUpdated: integer('last_updated').notNull()
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})
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// ── memo_tags (Phase 10.3) ────────────────────────────────
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export const memoTags = sqliteTable(
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'memo_tags',
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{
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id: text('id').primaryKey(),
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historyId: text('history_id').notNull(),
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tag: text('tag').notNull(),
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createdAt: integer('created_at').notNull(),
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},
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(table) => [
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uniqueIndex('idx_memo_tags_unique').on(table.historyId, table.tag),
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index('idx_memo_tags_history_id').on(table.historyId),
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index('idx_memo_tags_tag').on(table.tag),
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]
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)
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export type MemoTagRow = typeof memoTags.$inferSelect
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export type NewMemoTagRow = typeof memoTags.$inferInsert
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// ── daily_usage (Phase 11) ────────────────────────────────
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export const dailyUsage = sqliteTable(
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'daily_usage',
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{
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id: integer('id').primaryKey({ autoIncrement: true }),
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date: text('date').notNull(),
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feature: text('feature').notNull(),
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count: integer('count').notNull().default(0),
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},
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(table) => [
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uniqueIndex('idx_daily_usage_date_feature').on(table.date, table.feature),
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index('idx_daily_usage_date').on(table.date),
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]
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)
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export type DailyUsageRow = typeof dailyUsage.$inferSelect
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export type NewDailyUsageRow = typeof dailyUsage.$inferInsert
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// ── rag_documents (Phase 13.2) ──────────────────────────
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export const ragDocuments = sqliteTable(
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'rag_documents',
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{
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id: text('id').primaryKey(),
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fileName: text('file_name').notNull(),
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filePath: text('file_path').notNull(),
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fileType: text('file_type', { enum: ['txt', 'md', 'pdf', 'docx'] }).notNull(),
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chunkCount: integer('chunk_count').notNull().default(0),
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indexed: integer('indexed', { mode: 'boolean' }).notNull().default(false),
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indexedAt: integer('indexed_at'),
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addedAt: integer('added_at').notNull(),
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},
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(table) => [
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index('idx_rag_documents_added_at').on(table.addedAt),
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]
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)
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export const ragChunks = sqliteTable(
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'rag_chunks',
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{
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id: text('id').primaryKey(),
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documentId: text('document_id').notNull(),
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content: text('content').notNull(),
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/** 임베딩 벡터 (JSON 직렬화 float[]) */
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embedding: text('embedding').notNull(),
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chunkIndex: integer('chunk_index').notNull(),
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},
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(table) => [
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index('idx_rag_chunks_document_id').on(table.documentId),
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]
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)
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export type RAGDocumentRow = typeof ragDocuments.$inferSelect
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export type NewRAGDocumentRow = typeof ragDocuments.$inferInsert
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export type RAGChunkRow = typeof ragChunks.$inferSelect
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export type NewRAGChunkRow = typeof ragChunks.$inferInsert
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// ── meetingSessions (Phase 14) ──────────────────────────
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export const meetingSessions = sqliteTable(
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'meeting_sessions',
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{
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id: text('id').primaryKey(),
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title: text('title'),
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status: text('status', {
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enum: ['recording', 'processing', 'completed', 'error'],
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}).notNull().default('recording'),
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startedAt: integer('started_at').notNull(),
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endedAt: integer('ended_at'),
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durationMs: integer('duration_ms'),
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rawTranscript: text('raw_transcript'),
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editedTranscript: text('edited_transcript'),
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minutesMarkdown: text('minutes_markdown'),
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minutesJson: text('minutes_json'),
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sttModel: text('stt_model'),
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llmModel: text('llm_model'),
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sttLatencyMs: integer('stt_latency_ms'),
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llmLatencyMs: integer('llm_latency_ms'),
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errorMessage: text('error_message'),
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createdAt: integer('created_at').notNull(),
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updatedAt: integer('updated_at').notNull(),
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},
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(table) => [
|
||||
index('idx_meeting_sessions_created_at').on(table.createdAt),
|
||||
index('idx_meeting_sessions_status').on(table.status),
|
||||
]
|
||||
)
|
||||
|
||||
// ── meetingMemos (Phase 14) ─────────────────────────────
|
||||
export const meetingMemos = sqliteTable(
|
||||
'meeting_memos',
|
||||
{
|
||||
id: text('id').primaryKey(),
|
||||
sessionId: text('session_id').notNull(),
|
||||
content: text('content').notNull(),
|
||||
timestampMs: integer('timestamp_ms').notNull(),
|
||||
createdAt: integer('created_at').notNull(),
|
||||
},
|
||||
(table) => [
|
||||
index('idx_meeting_memos_session_id').on(table.sessionId),
|
||||
index('idx_meeting_memos_timestamp').on(table.timestampMs),
|
||||
]
|
||||
)
|
||||
|
||||
export type MeetingSessionRow = typeof meetingSessions.$inferSelect
|
||||
export type NewMeetingSessionRow = typeof meetingSessions.$inferInsert
|
||||
export type MeetingMemoRow = typeof meetingMemos.$inferSelect
|
||||
export type NewMeetingMemoRow = typeof meetingMemos.$inferInsert
|
||||
|
||||
// ── meetingDocuments (Phase 14.5) ───────────────────────
|
||||
export const meetingDocuments = sqliteTable(
|
||||
'meeting_documents',
|
||||
{
|
||||
id: text('id').primaryKey(),
|
||||
sessionId: text('session_id').notNull(),
|
||||
templateType: text('template_type', {
|
||||
enum: ['minutes', 'report', 'idea-note', 'custom', 'mindmap'],
|
||||
}).notNull(),
|
||||
title: text('title').notNull(),
|
||||
content: text('content').notNull().default(''),
|
||||
promptUsed: text('prompt_used'),
|
||||
llmModel: text('llm_model'),
|
||||
llmLatencyMs: integer('llm_latency_ms'),
|
||||
createdAt: integer('created_at').notNull(),
|
||||
updatedAt: integer('updated_at').notNull(),
|
||||
},
|
||||
(table) => [
|
||||
index('idx_meeting_documents_session_id').on(table.sessionId),
|
||||
]
|
||||
)
|
||||
|
||||
export type MeetingDocumentRow = typeof meetingDocuments.$inferSelect
|
||||
export type NewMeetingDocumentRow = typeof meetingDocuments.$inferInsert
|
||||
|
||||
// ── 타입 추출 ────────────────────────────────────────────
|
||||
export type History = typeof history.$inferSelect
|
||||
export type NewHistory = typeof history.$inferInsert
|
||||
export type Dictionary = typeof dictionary.$inferSelect
|
||||
export type NewDictionary = typeof dictionary.$inferInsert
|
||||
export type Stats = typeof stats.$inferSelect
|
||||
Loading…
Add table
Add a link
Reference in a new issue