feat: mv data folder to root

.gitignore

@@ -1,3 +1,4 @@
+data
 _research
 .trae
 .DS_Store

README.md

@@ -44,6 +44,7 @@ DataClaw 的架构主要分为三只“大钳子”：
 1. **`frontend/`** 🎨: 闪亮的外壳。基于 **React 19**、**Vite**、**TailwindCSS** 和 **Zustand** 构建。拥有类似微信/ChatGPT的对话界面、支持流式思考过程渲染以及交互式图表展示。
 2. **`backend/`** ⚙️: 强健的肌肉。一个 **FastAPI** 后端服务，负责管理项目、数据源连接、用户会话持久化以及作为 API 网关。
 3. **`nanobot/`** 🧠: 智慧的大脑。核心的 AI Agent 框架，负责处理意图路由、NL2SQL 转换、Schema 缓存管理以及与 LLM 的底层交互。
+4. **`data/`** 🗄️: 运行时数据目录。与代码目录解耦，存放上传文件、会话、技能工作区、报告与配置缓存。
 
 ***
 
@@ -68,6 +69,14 @@ pip install -r requirements.txt
 uvicorn app.main:app --reload --port 8000
 ```
 
+可选环境变量：
+
+```bash
+export DATA_ROOT=/absolute/path/to/data
+```
+
+若未设置，默认使用仓库根目录下的 `data/`。
+
 *提示：请确保* *`nanobot`* *核心库已根据项目工作区的要求正确链接或以可编辑模式 (editable mode) 安装。*
 
 ### 2. 前端服务启动 ⚛️
@@ -150,4 +159,3 @@ DataClaw 的开发深受以下优秀开源项目的启发，特此致谢：
 - [Aix-DB](https://github.com/apconw/Aix-DB): 在智能数据分析和交互式体验方面提供了极好的参考。
 
 <br />
-

README_en.md

@@ -44,6 +44,7 @@ DataClaw is divided into three main claws (components):
 1. **`frontend/`** 🎨: The shiny shell. Built with **React 19**, **Vite**, **TailwindCSS**, and **Zustand**. It features a chat-like interface, streaming AI responses, and interactive Vega charts.
 2. **`backend/`** ⚙️: The muscle. A **FastAPI** application managing projects, data source connections, user sessions, and API gateways.
 3. **`nanobot/`** 🧠: The brain. The core AI agent framework handling NL2SQL, schema caching, prompt injection, and LLM routing.
+4. **`data/`** 🗄️: Runtime data root. Decoupled from code directories and used for uploads, sessions, workspace skills, reports, and cached configs.
 
 ***
 
@@ -68,6 +69,14 @@ pip install -r requirements.txt
 uvicorn app.main:app --reload --port 8000
 ```
 
+Optional environment variable:
+
+```bash
+export DATA_ROOT=/absolute/path/to/data
+```
+
+If not set, DataClaw uses the repository-level `data/` directory by default.
+
 *Note: Ensure your* *`nanobot`* *is properly linked or installed in editable mode as per the project workspace.*
 
 ### 2. Frontend Setup ⚛️
@@ -149,4 +158,3 @@ The development of DataClaw was deeply inspired by the following excellent open-
 - [Aix-DB](https://github.com/apconw/Aix-DB): Provided an excellent reference for intelligent data analysis and interactive user experience.
 
 <br />
-

backend/app/api/llm.py

@@ -6,12 +6,13 @@ from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
 from jose import jwt, JWTError
 from pydantic import BaseModel, Field
 from app.core.security import SECRET_KEY, ALGORITHM
+from app.core.data_root import get_data_root
 from litellm import completion
 
 router = APIRouter()
 security = HTTPBearer()
 
-DATA_FILE = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), "data", "llm_config.json")
+DATA_FILE = str(get_data_root() / "llm_config.json")
 
 
 class CurrentUser(BaseModel):

backend/app/api/skills.py

@@ -10,14 +10,15 @@ from datetime import datetime
 from fastapi import APIRouter, HTTPException, UploadFile, File, Form
 from pydantic import BaseModel, Field
 
+from app.core.data_root import get_data_root, get_workspace_root
+
 router = APIRouter()
 
-BASE_DIR = os.path.dirname(os.path.dirname(os.path.dirname(__file__)))
+DATA_FILE = str(get_data_root() / "skills.json")
-DATA_FILE = os.path.join(BASE_DIR, "data", "skills.json")
+SKILL_HUB_DIR = str(get_workspace_root() / "skills")
-SKILL_HUB_DIR = os.path.join(BASE_DIR, "data", "workspace", "skills")
 
-# Ensure skill-hub directory exists
+def _ensure_skill_hub_dir() -> None:
-os.makedirs(SKILL_HUB_DIR, exist_ok=True)
+    os.makedirs(SKILL_HUB_DIR, exist_ok=True)
 
 class Skill(BaseModel):
     id: str = Field(..., description="Unique identifier for the skill")
@@ -134,6 +135,7 @@ def _write_skill_markdown(skill_dir: str, skill_name: str, description: Optional
     return skill_md_path
 
 def load_skills(project_id: Optional[int] = None) -> List[Dict[str, Any]]:
+    _ensure_skill_hub_dir()
     data = _load_data()
     
     registered_paths = set()
@@ -208,6 +210,7 @@ async def upload_skill(
     """Upload a skill file (SKILL.md) or a packaged skill (zip/tar.gz)."""
     filename = file.filename
     print(f"Uploading skill: {filename}, project_id: {project_id}")
+    _ensure_skill_hub_dir()
     
     # Create a unique temp directory
     temp_dir_name = f"temp_{datetime.now().timestamp()}_{os.urandom(4).hex()}"
@@ -323,6 +326,7 @@ async def upload_skill(
 
 @router.post("/skills", response_model=Skill)
 def create_skill(skill: SkillCreate):
+    _ensure_skill_hub_dir()
     data = load_skills()
     if any(item["id"] == skill.id for item in data):
         raise HTTPException(status_code=400, detail="Skill with this ID already exists")

backend/app/api/upload.py

@@ -3,14 +3,15 @@ import pandas as pd
 import duckdb
 import io
 import uuid
-from pathlib import Path
+
+from app.core.data_root import get_uploads_root
 
 router = APIRouter()
-upload_dir = Path(__file__).resolve().parents[2] / "data" / "uploads"
+upload_dir = get_uploads_root()
-upload_dir.mkdir(parents=True, exist_ok=True)
 
 @router.post("/upload/file")
 async def upload_file(file: UploadFile = File(...)):
+    upload_dir.mkdir(parents=True, exist_ok=True)
     allowed_extensions = ('.csv', '.xls', '.xlsx', '.parquet', '.db', '.sqlite', '.sqlite3')
     filename_lower = file.filename.lower()
     if not filename_lower.endswith(allowed_extensions):

backend/app/core/artifacts.py

@@ -6,6 +6,7 @@ from urllib.parse import quote
 
 from pydantic import BaseModel
 
+from app.core.data_root import get_data_root, get_reports_root, get_uploads_root, get_workspace_root
 
 LOCAL_URI_PATTERN = re.compile(r"local://[^\s<>'\"\]\)\}]+")
 PATH_PATTERN = re.compile(
@@ -138,11 +139,11 @@ def _normalize_locator(raw_locator: str) -> str:
 
 
 def _resolve_locator(locator: str) -> Path | None:
-    backend_root = Path(__file__).resolve().parents[2]
+    data_root = get_data_root()
-    data_root = backend_root / "data"
+    workspace_root = get_workspace_root()
-    workspace_root = data_root / "workspace"
+    uploads_root = get_uploads_root()
-    uploads_root = data_root / "uploads"
+    reports_root = get_reports_root()
-    reports_root = data_root / "data"
+    repo_root = data_root.parent
     if locator.startswith("local://"):
         raw_local = locator.replace("local://", "", 1).strip().lstrip("/\\")
         if not raw_local:
@@ -160,11 +161,11 @@ def _resolve_locator(locator: str) -> Path | None:
     if path.is_absolute():
         return path
     if normalized.startswith("data/data/"):
-        return backend_root / normalized
+        return repo_root / normalized
     checks = [
         workspace_root / normalized,
         data_root / normalized,
-        backend_root / normalized,
+        repo_root / normalized,
     ]
     for candidate in checks:
         if candidate.exists():

backend/app/core/data_root.py

@@ -0,0 +1,39 @@
+import os
+from pathlib import Path
+
+
+BACKEND_ROOT = Path(__file__).resolve().parents[2]
+REPO_ROOT = BACKEND_ROOT.parent
+DEFAULT_DATA_ROOT = REPO_ROOT / "data"
+LEGACY_DATA_ROOT = BACKEND_ROOT / "data"
+
+
+def get_data_root() -> Path:
+    configured = (os.getenv("DATA_ROOT") or "").strip()
+    if configured:
+        return Path(configured).expanduser().resolve()
+    if DEFAULT_DATA_ROOT.exists():
+        return DEFAULT_DATA_ROOT
+    if LEGACY_DATA_ROOT.exists():
+        print(f"[DATA_ROOT] legacy path detected: {LEGACY_DATA_ROOT}. Please migrate to {DEFAULT_DATA_ROOT}.")
+        return LEGACY_DATA_ROOT
+    return DEFAULT_DATA_ROOT
+
+
+def get_workspace_root() -> Path:
+    return get_data_root() / "workspace"
+
+
+def get_uploads_root() -> Path:
+    return get_data_root() / "uploads"
+
+
+def get_reports_root() -> Path:
+    return get_data_root() / "data"
+
+
+def ensure_data_layout() -> None:
+    get_data_root().mkdir(parents=True, exist_ok=True)
+    get_workspace_root().mkdir(parents=True, exist_ok=True)
+    get_uploads_root().mkdir(parents=True, exist_ok=True)
+    get_reports_root().mkdir(parents=True, exist_ok=True)

backend/app/core/files.py

@@ -2,12 +2,13 @@ import os
 from pathlib import Path
 from typing import Optional
 
+from app.core.data_root import get_data_root, get_reports_root, get_uploads_root, get_workspace_root
 
-backend_root = Path(__file__).resolve().parents[2]
+
-data_root = backend_root / "data"
+data_root = get_data_root()
-workspace_root = data_root / "workspace"
+workspace_root = get_workspace_root()
-uploads_root = data_root / "uploads"
+uploads_root = get_uploads_root()
-reports_root = data_root / "data"
+reports_root = get_reports_root()
 allowed_artifact_roots = (workspace_root, uploads_root, reports_root)
 
 
@@ -50,7 +51,7 @@ def resolve_artifact_target(target: str) -> Path | None:
     if path.is_absolute():
         return path
     if normalized.startswith("data/data/"):
-        return backend_root / normalized
+        return data_root.parent / normalized
     checks = (
         workspace_root / normalized,
         data_root / normalized,

backend/app/core/nanobot.py

@@ -34,6 +34,7 @@ from nanobot.config.schema import Config
 from app.api.skills import load_skills
 from app.services.llm_cache import get_llm_configs
 
+from app.core.data_root import get_workspace_root
 from app.core.streaming_provider import StreamingLiteLLMProvider
 
 class NanobotIntegration:
@@ -47,8 +48,7 @@ class NanobotIntegration:
         self._model_agent_lock = asyncio.Lock()
 
     def initialize(self):
-        # Set workspace path to backend/data/workspace
+        workspace_path = get_workspace_root()
-        workspace_path = Path(os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), "data", "workspace"))
         workspace_path.mkdir(parents=True, exist_ok=True)
         self._sync_builtin_skills_to_workspace(workspace_path)
         

backend/app/core/session_alias_store.py

@@ -5,14 +5,21 @@ from datetime import datetime, timezone
 from pathlib import Path
 from typing import Any
 
+from app.core.data_root import get_data_root
+
 
 class SessionAliasStore:
     def __init__(self) -> None:
-        backend_root = Path(__file__).resolve().parents[2]
+        data_dir = get_data_root()
-        data_dir = backend_root / "data"
+        try:
-        data_dir.mkdir(parents=True, exist_ok=True)
+            data_dir.mkdir(parents=True, exist_ok=True)
+        except PermissionError as exc:
+            raise RuntimeError(f"DATA_ROOT 权限不足: {data_dir}") from exc
         self.db_path = data_dir / "nanobot_sessions.db"
-        self._init_db()
+        try:
+            self._init_db()
+        except PermissionError as exc:
+            raise RuntimeError(f"DATA_ROOT 权限不足: {data_dir}") from exc
 
     def _connect(self) -> sqlite3.Connection:
         conn = sqlite3.connect(str(self.db_path))

backend/app/services/mdl.py

@@ -6,9 +6,9 @@ from app.models.datasource import DataSource
 from app.schemas.mdl import MDLManifest, Model, Column, TableReference
 from app.connectors.factory import get_connector
 from app.database import SessionLocal
+from app.core.data_root import get_data_root
 
-# Assuming running from backend/ directory
+MDL_STORAGE_PATH = get_data_root() / "mdl"
-MDL_STORAGE_PATH = Path("data/mdl")
 
 class MDLService:
     @staticmethod

backend/main.py

@@ -20,6 +20,7 @@ from app.api import upload, llm, skills, users, datasources, projects, semantic
 from app.connectors.postgres import postgres_connector
 from app.connectors.clickhouse import clickhouse_connector
 from app.core.artifacts import extract_artifacts
+from app.core.data_root import ensure_data_layout, get_data_root, get_reports_root
 from app.core.files import ensure_artifact_access, resolve_artifact_target
 from app.core.nanobot import nanobot_service
 from app.core.session_alias_store import session_alias_store
@@ -44,9 +45,12 @@ app.add_middleware(
 Base.metadata.create_all(bind=engine)
 
 # Mount static directory for reports
-data_dir = os.path.join(os.path.dirname(__file__), "data", "data")
+try:
-os.makedirs(data_dir, exist_ok=True)
+    ensure_data_layout()
-app.mount("/reports", StaticFiles(directory=data_dir), name="reports")
+except Exception as e:
+    raise RuntimeError(f"DATA_ROOT 初始化失败: {e}") from e
+reports_dir = get_reports_root()
+app.mount("/reports", StaticFiles(directory=str(reports_dir)), name="reports")
 
 app.include_router(upload.router, prefix="/api/v1")
 app.include_router(llm.router, prefix="/api/v1")
@@ -71,6 +75,13 @@ PREVIEWABLE_TEXT_EXTENSIONS = {
 
 @app.on_event("startup")
 async def startup_event():
+    try:
+        data_root = get_data_root()
+        data_root.mkdir(parents=True, exist_ok=True)
+        if not os.access(data_root, os.R_OK | os.W_OK | os.X_OK):
+            raise RuntimeError(f"DATA_ROOT 权限不足: {data_root}")
+    except Exception as e:
+        raise RuntimeError(f"DATA_ROOT 初始化失败: {e}") from e
     # Initialize nanobot in background
     try:
         await nanobot_service.start()

backend/tests/test_artifact_endpoints.py

@@ -3,11 +3,12 @@ from pathlib import Path
 import pytest
 from fastapi.testclient import TestClient
 
+from app.core.data_root import get_data_root
 from main import app
 
 
 def _backend_data_root() -> Path:
-    return Path(__file__).resolve().parents[1] / "data"
+    return get_data_root()
 
 
 def test_download_artifact_within_whitelist() -> None:

backend/tests/test_artifacts.py

@@ -1,10 +1,11 @@
 from pathlib import Path
 
 from app.core.artifacts import extract_artifacts
+from app.core.data_root import get_data_root
 
 
 def _backend_data_root() -> Path:
-    return Path(__file__).resolve().parents[1] / "data"
+    return get_data_root()
 
 
 def test_extract_artifacts_from_local_and_tool_paths() -> None:

backend/tests/test_data_root.py

@@ -0,0 +1,28 @@
+from pathlib import Path
+
+from app.core import data_root
+
+
+def test_data_root_prefers_env(monkeypatch, tmp_path: Path) -> None:
+    custom = tmp_path / "custom-data-root"
+    monkeypatch.setenv("DATA_ROOT", str(custom))
+    assert data_root.get_data_root() == custom.resolve()
+
+
+def test_data_root_falls_back_to_legacy(monkeypatch, tmp_path: Path) -> None:
+    monkeypatch.delenv("DATA_ROOT", raising=False)
+    legacy = tmp_path / "legacy-data"
+    default = tmp_path / "default-data"
+    legacy.mkdir(parents=True, exist_ok=True)
+    monkeypatch.setattr(data_root, "LEGACY_DATA_ROOT", legacy)
+    monkeypatch.setattr(data_root, "DEFAULT_DATA_ROOT", default)
+    assert data_root.get_data_root() == legacy
+
+
+def test_ensure_data_layout_creates_children(monkeypatch, tmp_path: Path) -> None:
+    monkeypatch.setenv("DATA_ROOT", str(tmp_path / "dr"))
+    data_root.ensure_data_layout()
+    root = data_root.get_data_root()
+    assert (root / "workspace").exists()
+    assert (root / "uploads").exists()
+    assert (root / "data").exists()

frontend/src/components/ChatInterface.tsx

@@ -1114,8 +1114,20 @@ export function ChatInterface() {
                                 <iframe
                                   title={`report-${msg.id}`}
                                   srcDoc={reportHtml}
-                                  sandbox="allow-same-origin"
+                                  sandbox="allow-same-origin allow-scripts"
                                   className="w-full h-[620px] bg-white"
+                                  onLoad={(e) => {
+                                    try {
+                                      const doc = (e.target as HTMLIFrameElement).contentDocument;
+                                      if (doc) {
+                                        const style = doc.createElement('style');
+                                        style.textContent = `html, body { overflow: auto !important; }`;
+                                        doc.head.appendChild(style);
+                                      }
+                                    } catch (err) {
+                                      console.error("Failed to inject styles", err);
+                                    }
+                                  }}
                                 />
                               </div>
                             ) : null}
@@ -1371,7 +1383,19 @@ export function ChatInterface() {
               <iframe
                 title={artifactPreview.name}
                 src={artifactPreview.previewUrl}
-                className="w-full h-full"
+                className="w-full h-full border-0"
+                onLoad={(e) => {
+                  try {
+                    const doc = (e.target as HTMLIFrameElement).contentDocument;
+                    if (doc) {
+                      const style = doc.createElement('style');
+                      style.textContent = `html, body { overflow: auto !important; }`;
+                      doc.head.appendChild(style);
+                    }
+                  } catch (err) {
+                    console.error("Failed to inject styles into iframe", err);
+                  }
+                }}
               />
             ) : null}
           </div>