diff --git a/.claude/settings.local.json b/.claude/settings.local.json index 72770c3..8b69b93 100644 --- a/.claude/settings.local.json +++ b/.claude/settings.local.json @@ -11,7 +11,10 @@ "Bash(curl -s http://localhost:8010/docs -o /dev/null -w \"status:%{http_code}\\\\n\")", "Bash(git add *)", "Bash(git commit -m ' *)", - "PowerShell(Get-Process | Where-Object { $_.ProcessName -match \"python|uvicorn\" } | Select-Object Id, ProcessName, Path)" + "PowerShell(Get-Process | Where-Object { $_.ProcessName -match \"python|uvicorn\" } | Select-Object Id, ProcessName, Path)", + "Bash(curl -s -o /dev/null -w \"%{http_code}\\\\n\" http://localhost:8000/health --max-time 5)", + "Bash(curl -s -N -X POST http://localhost:8000/chat/stream -H \"Content-Type: application/json\" -d '{\"message\":\"latest news about python 3.14 release\",\"model\":\"bedrock/jp.anthropic.claude-sonnet-4-6\"}' --max-time 60)", + "Bash(curl -s -N -X POST http://localhost:8000/chat/stream -H \"Content-Type: application/json\" -d '{\"message\":\"latest news about python 3.14 release\",\"model\":\"bedrock/jp.anthropic.claude-sonnet-4-6\"}' --max-time 90)" ] } } diff --git a/.gitignore b/.gitignore index 3e48d92..139d274 100644 --- a/.gitignore +++ b/.gitignore @@ -10,6 +10,7 @@ build/ .venv/ venv/ .uv/ +backend/knowledge_base/web_search/ # 環境変数・シークレット backend/.env diff --git a/backend/.dockerignore b/backend/.dockerignore new file mode 100644 index 0000000..bbcbd20 --- /dev/null +++ b/backend/.dockerignore @@ -0,0 +1,10 @@ +.venv/ +.env +*.db +*.db-shm +*.db-wal +__pycache__/ +*.pyc +.ruff_cache/ +.pytest_cache/ +knowledge_base/web_search/ diff --git a/backend/.env.example b/backend/.env.example index 3467247..956dd47 100644 --- a/backend/.env.example +++ b/backend/.env.example @@ -20,6 +20,8 @@ DEBUG=false TAVILY_API_KEY= # 蓄積知識をシステムプロンプトに注入する際の最大件数 KNOWLEDGE_CONTEXT_LIMIT=15 +# Web検索結果を構造的な要約にまとめる際に使うモデル(未設定ならDEFAULT_MODELを使用) +SEARCH_SUMMARY_MODEL= # ローカルMarkdownナレッジベース(backend/knowledge_base/ 配下のファイルを話題に応じて注入) LOCAL_KB_DIR=knowledge_base diff --git a/backend/Dockerfile b/backend/Dockerfile new file mode 100644 index 0000000..5adbe95 --- /dev/null +++ b/backend/Dockerfile @@ -0,0 +1,22 @@ +FROM python:3.12-slim + +RUN pip install --no-cache-dir uv + +WORKDIR /app + +ENV UV_COMPILE_BYTECODE=1 \ + UV_LINK_MODE=copy \ + PYTHONUNBUFFERED=1 + +# 依存関係だけ先にインストールしてレイヤーキャッシュを効かせる +COPY pyproject.toml uv.lock ./ +RUN uv sync --frozen --no-install-project --no-dev + +COPY . . +RUN uv sync --frozen --no-dev + +ENV PATH="/app/.venv/bin:$PATH" + +EXPOSE 8000 + +CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"] diff --git a/backend/app/api/chat.py b/backend/app/api/chat.py index 2a6e5a2..0b6902c 100644 --- a/backend/app/api/chat.py +++ b/backend/app/api/chat.py @@ -11,6 +11,7 @@ from app.db.models import Session, Message from app.core.memory_kb import memory as mem from app.core import llm from app.core.memory_kb import knowledge +from app.core.memory_kb import local_knowledge from app.core.search.websearch import WEB_SEARCH_TOOL from app.core.config import DEFAULT_MODEL from app.core.memory_kb.tagging import tag_message_by_id @@ -77,6 +78,13 @@ def delete_session(session_id: str, db: DBSession = Depends(get_db)): db.commit() +@router.post("/knowledge/regenerate") +async def regenerate_knowledge(db: DBSession = Depends(get_db)): + """既存のKnowledgeEntryを出典URLから取得し直し、構造化要約に再生成する(一括実行用)。""" + count = await knowledge.regenerate_from_sources(db) + return {"regenerated": count} + + @router.post("/stream") async def stream_chat(req: ChatRequest, db: DBSession = Depends(get_db)): # セッション取得 or 新規作成 @@ -126,9 +134,10 @@ async def stream_chat(req: ChatRequest, db: DBSession = Depends(get_db)): ] yield sse({"type": "sources", "value": sources}) for s in searches: - summary = "\n".join(r["content"][:300] for r in s["results"] if r["content"]) + summary = await knowledge.summarize_results(s["query"], s["results"]) if summary: knowledge.save_knowledge(db, s["query"], summary, s["results"]) + local_knowledge.save_search_result(s["query"], summary, s["results"]) search_tools = [WEB_SEARCH_TOOL] if len(resolved_context) > len(context) else None async for chunk in llm.stream_chat( diff --git a/backend/app/core/config.py b/backend/app/core/config.py index b76dc42..ecdd6f9 100644 --- a/backend/app/core/config.py +++ b/backend/app/core/config.py @@ -16,6 +16,8 @@ TAGGING_MODEL: str | None = os.getenv("TAGGING_MODEL") TAVILY_API_KEY: str | None = os.getenv("TAVILY_API_KEY") # 蓄積した知識をシステムプロンプトに注入する際の最大件数 KNOWLEDGE_CONTEXT_LIMIT: int = int(os.getenv("KNOWLEDGE_CONTEXT_LIMIT", "15")) +# Web検索結果を構造的な要約にまとめる際に使うモデル(未設定ならDEFAULT_MODELを使用) +SEARCH_SUMMARY_MODEL: str | None = os.getenv("SEARCH_SUMMARY_MODEL") # ローカルMarkdownナレッジベース(話題に応じて関連ファイルをシステムプロンプトに注入) LOCAL_KB_DIR: str = os.getenv("LOCAL_KB_DIR", "knowledge_base") diff --git a/backend/app/core/memory_kb/knowledge.py b/backend/app/core/memory_kb/knowledge.py index c8ad63e..5ae6b89 100644 --- a/backend/app/core/memory_kb/knowledge.py +++ b/backend/app/core/memory_kb/knowledge.py @@ -1,8 +1,133 @@ +import asyncio +import logging +import re + +import httpx +import trafilatura from sqlalchemy.orm import Session as DBSession -from app.core.config import KNOWLEDGE_CONTEXT_LIMIT +from app.core import llm +from app.core.config import KNOWLEDGE_CONTEXT_LIMIT, SEARCH_SUMMARY_MODEL +from app.core.memory_kb import local_knowledge from app.db.models import KnowledgeEntry, KnowledgeSource +logger = logging.getLogger(__name__) + +_TAG_STRIP_RE = re.compile(r"<(script|style)[^>]*>.*?", re.S | re.I) +_HTML_TAG_RE = re.compile(r"<[^>]+>") + +_SUMMARY_PROMPT = ( + "以下はWeb検索「{query}」で得られた複数の検索結果です。" + "これらの内容を整理し、Markdown形式で構造的にまとめてください。\n" + "- 検索結果間で重複する情報はまとめ、矛盾する情報があれば併記する\n" + "- 見出し(##)やトピックごとの箇条書きを使い、要点が一目で分かるようにする\n" + "- 各項目の末尾に (出典: サイト名) を付ける\n" + "- 説明文や前置きは不要。まとめ本文のみを出力する\n\n" + "検索結果:\n{results}" +) + + +async def summarize_results(query: str, results: list[dict], model: str | None = None) -> str: + """Web検索結果(title/url/content のリスト)をLLMで構造的なMarkdown要約にまとめる。 + + 要約に失敗した場合は空文字を返す(生のスクレイピング結果を未加工のままファイルに + 書き込むと、ページに残ったスクリプト断片等がセキュリティソフトに誤検知されることがあるため、 + フォールバックとして生テキストを書き出すことはしない)。 + """ + if not results: + return "" + + raw = "\n\n".join( + f"### {r.get('title') or r['url']}\n{r.get('content', '')[:1500]}" + for r in results + if r.get("content") + ) + if not raw: + return "" + + prompt = _SUMMARY_PROMPT.format(query=query, results=raw) + try: + return await llm.complete( + [{"role": "user", "content": prompt}], + model=model or SEARCH_SUMMARY_MODEL, + ) + except Exception: + logger.exception("Failed to summarize search results for query=%r", query) + return "" + + +def _strip_tags(html: str) -> str: + """trafilataruがメインコンテンツを抽出できなかった場合の素朴なフォールバック。""" + text = _TAG_STRIP_RE.sub(" ", html) + text = _HTML_TAG_RE.sub(" ", text) + return re.sub(r"\s+", " ", text).strip() + + +async def _fetch_page_text(url: str, max_chars: int = 4000) -> str: + """URLからヘッダー・サイドバー・フッター・広告などを除いた本文だけを抽出する。取得失敗時は空文字。""" + try: + async with httpx.AsyncClient(timeout=10.0, follow_redirects=True) as client: + res = await client.get(url, headers={"User-Agent": "Mozilla/5.0"}) + res.raise_for_status() + html = res.text + except Exception: + logger.warning("Failed to fetch page for regeneration: %s", url) + return "" + + # trafilatura.extract()はCPU負荷のある同期処理のため、そのままawait内で呼ぶと + # asyncioのイベントループ全体をブロックしてしまう(チャット応答等が止まる)。 + # asyncio.to_thread()で別スレッドに逃がす。 + main_text = await asyncio.to_thread( + trafilatura.extract, + html, + url=url, + include_comments=False, + include_tables=True, + favor_precision=True, + ) + text = main_text if main_text else _strip_tags(html) + return text[:max_chars] + + +async def regenerate_from_sources(db: DBSession) -> int: + """既存のKnowledgeEntryについて、出典URLから本文を取得し直し、構造的な要約に再生成する。 + + KnowledgeSourceにはURLしか保存されていないため、当時の検索結果本文ではなく + 現時点のページ内容を取得し直す点に注意(記事が更新・削除されている場合がある)。 + 戻り値: 再生成できた件数 + """ + entries = db.query(KnowledgeEntry).all() + count = 0 + for entry in entries: + if not entry.sources: + continue + + contents = await asyncio.gather(*(_fetch_page_text(s.url) for s in entry.sources)) + results = [ + {"title": s.title, "url": s.url, "content": content} + for s, content in zip(entry.sources, contents) + if content + ] + if not results: + continue + + new_summary = await summarize_results(entry.query, results) + if not new_summary: + continue + + old_summary = entry.summary + entry.summary = new_summary + db.commit() + + local_knowledge.delete_search_result_file(entry.query, old_summary) + local_knowledge.save_search_result( + entry.query, new_summary, [{"title": s.title, "url": s.url} for s in entry.sources], + ) + count += 1 + + logger.info("Regenerated %d knowledge entries from their sources", count) + return count + def save_knowledge(db: DBSession, query: str, summary: str, sources: list[dict]) -> KnowledgeEntry: """Web検索で得た知見をDBに保存する。""" diff --git a/backend/app/core/memory_kb/local_knowledge.py b/backend/app/core/memory_kb/local_knowledge.py index 434f8ad..0e6658c 100644 --- a/backend/app/core/memory_kb/local_knowledge.py +++ b/backend/app/core/memory_kb/local_knowledge.py @@ -13,7 +13,7 @@ from sqlalchemy.orm import Session as DBSession from app.core import llm from app.core.config import LOCAL_KB_DIR, LOCAL_KB_EMBEDDING_MODEL, LOCAL_KB_MIN_SCORE, LOCAL_KB_TOP_K -from app.db.models import LocalKnowledgeDoc +from app.db.models import KnowledgeEntry, LocalKnowledgeDoc logger = logging.getLogger(__name__) @@ -43,6 +43,45 @@ def _cosine_similarity(a: list[float], b: list[float]) -> float: return dot / (norm_a * norm_b) +def save_search_result(query: str, summary: str, sources: list[dict]) -> None: + """Web検索結果をローカルナレッジベースにMarkdownとして永続化する。 + + 同じクエリ・内容の組み合わせは同じファイル名になるため重複保存されない。 + 保存しただけでは埋め込みは計算されず、次回の sync_local_kb() 実行時(=次の会話)に + 自動的に埋め込まれ、以後の会話で話題に応じて引き出せるようになる。 + """ + kb_dir = _kb_dir() / "web_search" + kb_dir.mkdir(parents=True, exist_ok=True) + + filename = _hash(query + summary)[:16] + ".md" + urls = "\n".join(f"- [{s.get('title') or s['url']}]({s['url']})" for s in sources if s.get("url")) + content = f"# {query}\n\n{summary}\n\n## 出典\n{urls}\n" + (kb_dir / filename).write_text(content, encoding="utf-8") + + +def delete_search_result_file(query: str, summary: str) -> None: + """save_search_result()が書き出したファイルを削除する。要約を再生成して内容が変わった際の旧ファイル掃除用。""" + filename = _hash(query + summary)[:16] + ".md" + (_kb_dir() / "web_search" / filename).unlink(missing_ok=True) + + +def backfill_search_results(db: DBSession) -> int: + """DBに蓄積済みの過去のWeb検索結果(KnowledgeEntry)をすべてMarkdownファイルとして書き出す。 + + save_search_result()と同じファイル名規則(内容のハッシュ)を使うため、 + すでにmd化済みのものは上書きされるだけで重複は増えない。 + 戻り値: 書き出した件数 + """ + entries = db.query(KnowledgeEntry).all() + count = 0 + for entry in entries: + sources = [{"title": s.title, "url": s.url} for s in entry.sources] + save_search_result(entry.query, entry.summary, sources) + count += 1 + logger.info("Backfilled %d search result(s) to local knowledge base", count) + return count + + async def sync_local_kb(db: DBSession) -> None: """ナレッジベースディレクトリをスキャンし、新規/変更ファイルの埋め込みを更新する。 削除されたファイルに対応するレコードも削除する。 diff --git a/backend/pyproject.toml b/backend/pyproject.toml index 51395a4..7a77692 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -18,6 +18,7 @@ dependencies = [ "httpx>=0.28.1", "discord-py>=2.7.1", "janome>=0.5.0", + "trafilatura>=2.1.0", ] [project.optional-dependencies] diff --git a/backend/uv.lock b/backend/uv.lock index ae8b4df..8b49e32 100644 --- a/backend/uv.lock +++ b/backend/uv.lock @@ -235,6 +235,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/f6/22/91616fe707a5c5510de2cac9b046a30defe7007ba8a0c04f9c08f27df312/audioop_lts-0.2.2-cp314-cp314t-win_arm64.whl", hash = "sha256:b492c3b040153e68b9fdaff5913305aaaba5bb433d8a7f73d5cf6a64ed3cc1dd", size = 25206, 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+ env_file: + - ./backend/.env + environment: + # SQLite ファイルと知識ベースを永続ボリュームに置く(.env の値を上書き) + DATABASE_URL: sqlite:////app/data/playchat.db + volumes: + - backend_data:/app/data + - backend_knowledge_base:/app/knowledge_base + expose: + - "8000" + + frontend: + build: + context: ./frontend + restart: unless-stopped + depends_on: + - backend + ports: + - "80:80" + +volumes: + backend_data: + backend_knowledge_base: diff --git a/docs/deploy-lightsail.md b/docs/deploy-lightsail.md new file mode 100644 index 0000000..ca0d3ff --- /dev/null +++ b/docs/deploy-lightsail.md @@ -0,0 +1,141 @@ +# AWS Lightsail へのデプロイ + +このアプリを AWS Lightsail の「インスタンス」(Ubuntu VPS)上で、Docker Compose を使って動かす手順。 +SQLite・ローカルナレッジベース・Discord Bot・APScheduler がすべて 1 プロセス(バックエンドコンテナ)内で常駐するため、 +Lightsail Containers(マネージドコンテナサービス)よりも、状態を持てる通常のインスタンス構成の方が相性が良い。 + +## 構成 + +``` +Internet + │ :80 / :443 + ▼ +[frontend コンテナ] nginx + ├─ 静的ファイル (Vue ビルド成果物) を配信 + └─ /chat, /api, /memory, /logs, /health を backend にリバースプロキシ + │ + ▼ +[backend コンテナ] FastAPI (uvicorn) + └─ SQLite (playchat.db) / knowledge_base を Docker Volume に永続化 +``` + +`frontend/src/api/client.ts` はすべて相対パスで API を呼ぶ実装になっているため、 +本番でも frontend と backend を同一オリジン(nginx 経由)で配信すれば CORS 設定は事実上不要。 + +リポジトリには以下を追加済み: + +- [backend/Dockerfile](../backend/Dockerfile) +- [frontend/Dockerfile](../frontend/Dockerfile) / [frontend/nginx.conf](../frontend/nginx.conf) +- [docker-compose.yml](../docker-compose.yml) + +## 1. Lightsail インスタンスの作成 + +1. Lightsail コンソール → 「インスタンスの作成」 +2. プラットフォーム: **Linux/Unix**、設計図: **OS のみ → Ubuntu 22.04 LTS** +3. プラン: **2GB RAM / 1vCPU($10/月)以上を推奨** + (フロントエンドの `npm run build` (vue-tsc) はビルド時にメモリを食うため、1GB プランだと OOM で失敗することがある) +4. インスタンス名を付けて作成 + +作成後、インスタンス詳細ページの「ネットワーキング」タブで: + +- **静的 IP をアタッチ**(再起動してもIPが変わらないようにする。ドメインを使う場合は必須) +- ファイアウォールで **80 (HTTP)** と、HTTPS を使うなら **443** を許可(22/SSH はデフォルトで開いている) + +## 2. SSH 接続 & Docker のインストール + +Lightsail コンソールの「接続」タブからブラウザ SSH で入るか、ダウンロードした鍵で接続する。 + +```bash +sudo apt update && sudo apt upgrade -y + +# Docker 公式インストールスクリプト +curl -fsSL https://get.docker.com | sudo sh +sudo usermod -aG docker $USER +newgrp docker + +# Docker Compose Plugin の確認(get.docker.com で入る場合が多い) +docker compose version +``` + +## 3. リポジトリの取得と設定 + +```bash +git clone <このリポジトリのURL> playchat +cd playchat + +cp backend/.env.example backend/.env +nano backend/.env # APIキーやモデル名など本番用の値を設定 +``` + +`backend/.env` で最低限確認する項目: + +| 変数 | 本番での指針 | +|---|---| +| `OPENAI_API_KEY` / `ANTHROPIC_API_KEY` | 使うプロバイダーのキーを設定 | +| `DEFAULT_MODEL` | 使いたいモデル名 | +| `CORS_ORIGINS` | `http://<静的IP>` またはドメイン(nginx が同一オリジンで配信するので基本は素通りするが念のため合わせておく) | +| `DATABASE_URL` | **編集不要**(`docker-compose.yml` が `/app/data/playchat.db` に上書きし、Docker Volume に永続化する) | +| `DISCORD_BOT_TOKEN` 等 | Discord Bot / 通知機能を使うなら設定。不要なら空のままでよい(未設定時は該当機能が無効) | + +`backend/.env` はコンテナに `env_file` として渡され、Git 管理対象外(`.gitignore` 済み)なので直接編集してよい。 + +## 4. ビルド & 起動 + +```bash +docker compose build +docker compose up -d +docker compose logs -f backend # 起動ログ確認(Ctrl+C で抜ける。プロセスは動き続ける) +``` + +ブラウザで `http://<静的IP>/` にアクセスして動作確認する。 + +停止・再起動・更新の運用コマンド: + +```bash +docker compose ps # 状態確認 +docker compose restart backend # backend だけ再起動 +git pull && docker compose up -d --build # コード更新を反映 +``` + +## 5. 永続化されるデータ + +`docker-compose.yml` は以下を Named Volume にしている(`docker compose down` してもデータは消えない。`docker compose down -v` は消えるので注意): + +- `backend_data` … `playchat.db`(会話履歴・メモリ) +- `backend_knowledge_base` … `knowledge_base/`(Web検索で蓄積したナレッジ含む) + +バックアップ例: + +```bash +docker compose exec backend sqlite3 /app/data/playchat.db ".backup /app/data/backup.db" +docker cp $(docker compose ps -q backend):/app/data/backup.db ./playchat-backup-$(date +%F).db +``` + +インスタンスごとのバックアップとしては、Lightsail の「スナップショット」機能(自動スナップショット設定可)も併用すると安心。 + +## 6. HTTPS 化(ドメインがある場合) + +ドメインの A レコードを Lightsail の静的 IP に向けた上で、ホスト側で certbot を使い証明書を取得し、 +`frontend` コンテナへ読み取り専用でマウントする。 + +```bash +sudo apt install -y certbot +docker compose stop frontend # 80番ポートを一時的に空ける +sudo certbot certonly --standalone -d your-domain.example.com +docker compose start frontend +``` + +`frontend/nginx.conf` に 443 用のサーバーブロックを追記し、`docker-compose.yml` の `frontend` サービスに +`443:443` のポートマッピングと `/etc/letsencrypt` のボリュームマウントを追加する(証明書更新時は `docker compose restart frontend` が必要。 +`certbot renew` の `--deploy-hook` に登録しておくと自動化できる)。この構成に変更したい場合は改めて対応する。 + +## 7. 常駐タスクについて + +APScheduler(天気通知など)と Discord Bot は `backend` コンテナ起動時(FastAPI の `lifespan`)に単一プロセス内で動く。 +`restart: unless-stopped` を設定しているため、インスタンス再起動やコンテナクラッシュ時も自動的に立ち上がる。 +複数インスタンス/複数コンテナへのスケールアウトは想定していない(SQLite・APScheduler・Discord Bot が単一プロセス前提のため)。 + +## コスト目安 + +- Lightsail インスタンス 2GB プラン: 約 $10/月(固定IP・80/443 の転送量込み) +- LLM API 利用料(OpenAI / Anthropic / Bedrock)は別途従量課金 diff --git a/frontend/.dockerignore b/frontend/.dockerignore new file mode 100644 index 0000000..3ff38cc --- /dev/null +++ b/frontend/.dockerignore @@ -0,0 +1,3 @@ +node_modules/ +dist/ +.vite/ diff --git a/frontend/Dockerfile b/frontend/Dockerfile new file mode 100644 index 0000000..33add47 --- /dev/null +++ b/frontend/Dockerfile @@ -0,0 +1,12 @@ +FROM node:22-slim AS build +WORKDIR /app +COPY package.json package-lock.json ./ +RUN npm ci +COPY . . +RUN npm run build + +FROM nginx:1.27-alpine +COPY nginx.conf /etc/nginx/conf.d/default.conf +COPY --from=build /app/dist /usr/share/nginx/html + +EXPOSE 80 diff --git a/frontend/nginx.conf b/frontend/nginx.conf new file mode 100644 index 0000000..3e5e9f0 --- /dev/null +++ b/frontend/nginx.conf @@ -0,0 +1,27 @@ +server { + listen 80; + server_name _; + + root /usr/share/nginx/html; + index index.html; + + # SPA フォールバック + location / { + try_files $uri $uri/ /index.html; + } + + # バックエンド API へのリバースプロキシ(/chat/stream は SSE のためバッファリング無効化) + location ~ ^/(chat|api|memory|logs|health) { + proxy_pass http://backend:8000; + proxy_http_version 1.1; + proxy_set_header Host $host; + proxy_set_header X-Real-IP $remote_addr; + proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; + proxy_set_header X-Forwarded-Proto $scheme; + + proxy_buffering off; + proxy_cache off; + proxy_read_timeout 300s; + chunked_transfer_encoding off; + } +} diff --git a/frontend/package-lock.json b/frontend/package-lock.json index 9f74e0a..745e3d3 100644 --- a/frontend/package-lock.json +++ b/frontend/package-lock.json @@ -18,7 +18,7 @@ "@types/dompurify": "^3.0.5", "@vitejs/plugin-vue": "^5.0.4", "typescript": "^5.4.0", - "vite": "^8.0.16", + "vite": "^6.0.0", "vue-tsc": "^2.0.6" } }, @@ -68,79 +68,44 @@ "node": ">=6.9.0" } }, - "node_modules/@emnapi/core": { - "version": "1.10.0", - "resolved": "https://registry.npmjs.org/@emnapi/core/-/core-1.10.0.tgz", - "integrity": 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"resolved": "https://registry.npmjs.org/vite/-/vite-8.0.16.tgz", - "integrity": "sha512-h9bXPmJichP5fLmVQo3PyaGSDE2n3aPuomeAlVRm0JLmt4rY6zmPKd59HYI4LNW8oTK7tlTsuC7l/m7awx9Jcw==", + "version": "6.4.3", + "resolved": "https://registry.npmjs.org/vite/-/vite-6.4.3.tgz", + "integrity": "sha512-NTKlcQjlAK7MlQoyb6LgaqHc8sso/pVyUJYWMws3jg21uTJw/LddqIFPcPqP6PzpgbIcZyKI85sFE4HBrQDA8A==", "dev": true, "license": "MIT", "dependencies": { - "lightningcss": "^1.32.0", - "picomatch": "^4.0.4", - "postcss": "^8.5.15", - "rolldown": "1.0.3", - "tinyglobby": "^0.2.17" + "esbuild": "^0.25.0", + "fdir": "^6.4.4", + "picomatch": "^4.0.2", + "postcss": "^8.5.3", + "rollup": "^4.34.9", + "tinyglobby": "^0.2.13" }, "bin": { "vite": "bin/vite.js" }, "engines": { - "node": "^20.19.0 || >=22.12.0" + "node": "^18.0.0 || ^20.0.0 || >=22.0.0" }, "funding": { "url": "https://github.com/vitejs/vite?sponsor=1" @@ -1239,15 +1779,14 @@ "fsevents": "~2.3.3" }, "peerDependencies": { - "@types/node": "^20.19.0 || >=22.12.0", - "@vitejs/devtools": "^0.1.18", - "esbuild": "^0.27.0 || ^0.28.0", + "@types/node": "^18.0.0 || ^20.0.0 || >=22.0.0", "jiti": ">=1.21.0", - "less": "^4.0.0", - "sass": "^1.70.0", - "sass-embedded": "^1.70.0", - "stylus": ">=0.54.8", - "sugarss": "^5.0.0", + "less": "*", + "lightningcss": "^1.21.0", + "sass": "*", + "sass-embedded": "*", + "stylus": "*", + "sugarss": "*", "terser": "^5.16.0", "tsx": "^4.8.1", "yaml": "^2.4.2" @@ -1256,18 +1795,15 @@ "@types/node": { "optional": true }, - "@vitejs/devtools": { - "optional": true - }, - "esbuild": { - "optional": true - }, "jiti": { "optional": true }, "less": { "optional": true }, + "lightningcss": { + "optional": true + }, "sass": { "optional": true }, diff --git a/frontend/package.json b/frontend/package.json index d8f589a..6649af2 100644 --- a/frontend/package.json +++ b/frontend/package.json @@ -20,7 +20,7 @@ "@types/dompurify": "^3.0.5", "@vitejs/plugin-vue": "^5.0.4", "typescript": "^5.4.0", - "vite": "^8.0.16", + "vite": "^6.0.0", "vue-tsc": "^2.0.6" } }