学生资料设置、头像与自动备份恢复。

首页卡片支持修改/删除；详情页设置 Tab 可维护学校、年级与头像；系统设置新增数据备份下载与恢复；备份默认存 /root/grade-archive-backups，详见 docs/BACKUP.md。

Co-authored-by: Cursor <cursoragent@cursor.com>

.env.example

@@ -2,8 +2,7 @@
 # 部署目录默认：/opt/secondary-school-grade-archive
 
 WEB_PORT=23566
-API_PORT=23568
+FRONTEND_DIST=/opt/secondary-school-grade-archive/frontend/dist
-API_TARGET=http://127.0.0.1:23568
 
 SECRET_KEY=请替换为随机字符串
 POSTGRES_USER=gradeapp
@@ -17,4 +16,13 @@ CORS_ORIGINS=http://127.0.0.1:23566,http://localhost:23566
 
 OLLAMA_BASE_URL=http://127.0.0.1:11434
 OLLAMA_MODEL=qwen2.5:7b
+# 局域网 GPU OCR 服务（deploy/ocr-worker），留空则本机 CPU 识别
+OCR_SERVICE_URL=http://127.0.0.1:23567
+OCR_PORT=23567
+OCR_API_KEY=
+OPENAI_BASE_URL=https://api.openai.com/v1
+OPENAI_MODEL=gpt-4o-mini
 FLUCTUATION_THRESHOLD=0.08
+
+ADMIN_DEFAULT_USERNAME=admin
+ADMIN_DEFAULT_PASSWORD=admin123

.gitignore

@@ -5,4 +5,5 @@ __pycache__/
 .env
 !.env.example
 node_modules/
-dist/
+frontend/node_modules/
+# frontend/dist 随仓库发布，服务器无需 npm 构建

README.md

@@ -14,12 +14,74 @@ Secondary School Grade Archive — 多用户 Web 系统：成绩录入、占比
 
 | 文档 | 说明 |
 |------|------|
-| [docs/DEPLOY.md](./docs/DEPLOY.md) | **Ubuntu PM2 一键部署** |
+| [docs/DEPLOY.md](./docs/DEPLOY.md) | **Ubuntu 零 Node 部署**（systemd + FastAPI 单进程） |
 | [docs/USAGE.md](./docs/USAGE.md) | 用户使用说明 |
 
 ---
 
-## Ubuntu 一键部署（PM2）
+## 修改代码后如何发布（必读）
+
+**生产服务器不安装 Node.js，也不在服务器上执行 `npm build`。**  
+凡涉及前端或全栈改动的发布，均按以下流程在**开发机**完成构建后再推送：
+
+```
+开发机改代码 → 本地构建 frontend/dist → git push 远端仓库 → 服务器 git pull + update.sh
+```
+
+### 仅改后端（`backend/`）
+
+```bash
+git add backend/
+git commit -m "你的说明"
+git push
+```
+
+服务器（需代理时先 `export http_proxy=http://192.168.8.246:10810` 等，见 [DEPLOY.md §3](./docs/DEPLOY.md#3-一键部署新服务器)）：
+
+```bash
+bash /opt/secondary-school-grade-archive/deploy/update.sh
+```
+
+### 改前端或同时改前后端（`frontend/`）
+
+**必须先本地构建，再把 `frontend/dist` 一并提交推送：**
+
+```powershell
+# Windows
+.\deploy\build-frontend.ps1
+```
+
+```bash
+# Linux / macOS
+bash deploy/build-frontend.sh
+```
+
+```bash
+git add frontend/ frontend/dist
+git commit -m "你的说明"
+git push
+```
+
+服务器（需代理时先 `export http_proxy=http://192.168.8.246:10810` 等，见 [DEPLOY.md §3](./docs/DEPLOY.md#3-一键部署新服务器)）：
+
+```bash
+bash /opt/secondary-school-grade-archive/deploy/update.sh
+```
+
+> 若只推送源码而未推送 `frontend/dist`，服务器更新后页面不会变化。详见 [docs/DEPLOY.md §2](./docs/DEPLOY.md#2-代码修改与发布流程重要)。
+
+---
+
+## Ubuntu 一键部署（零 Node）
+
+若服务器访问外网需走代理，**先设置代理再执行安装**：
+
+```bash
+export http_proxy=http://192.168.8.246:10810
+export https_proxy=http://192.168.8.246:10810
+export HTTP_PROXY="$http_proxy"
+export HTTPS_PROXY="$https_proxy"
+```
 
 ```bash
 git clone https://git.bz121.com/dekun/secondary-school-grade-archive.git /opt/secondary-school-grade-archive
@@ -28,49 +90,57 @@ chmod +x deploy/*.sh
 bash deploy/install.sh
 ```
 
+> `install.sh` 会自动将代理用于 `apt`、`git`、`pip`、`curl`。无需代理时可省略 `export` 步骤。
+
 - 安装目录：`/opt/secondary-school-grade-archive`
 - 访问地址：`http://<服务器IP>:23566`
-- 进程管理：`pm2 status` / `pm2 logs`
+- 进程管理：`systemctl status grade-archive` / `journalctl -u grade-archive -f`
+- 默认超级管理员：**admin / admin123**（登录后请在「系统设置」中修改）
 
-详见 [docs/DEPLOY.md](./docs/DEPLOY.md)。**反向代理不包含在本项目中。**
+**前提：** 仓库中已包含 `frontend/dist/`（由开发机构建后推送）。详见 [docs/DEPLOY.md](./docs/DEPLOY.md)。**反向代理不包含在本项目中。**
 
 ---
 
 ## 本地开发
 
+### 方式一：前后端分离（推荐日常开发）
+
 ```bash
 # PostgreSQL 本地安装后
-cp backend/.env.example backend/.env
+cp .env.example .env
 
 cd backend
 python3 -m venv venv
 source venv/bin/activate   # Windows: venv\Scripts\activate
 pip install -r requirements.txt
-uvicorn app.main:app --reload --port 23568
+uvicorn app.main:app --reload --host 0.0.0.0 --port 23566
 
 cd frontend
 npm install && npm run dev
 ```
 
-开发前端：http://localhost:5173（代理 `/api` 到 23568）
+- 前端开发：http://localhost:5173（Vite 代理 `/api` → 23566）
+- 后端 API：http://localhost:23566/api/health
 
-生产网关本地模拟：
+### 方式二：模拟生产（单进程 + 静态 dist）
 
 ```bash
-cd deploy/pm2 && npm install
+cd frontend && npm run build
-# 先 build 前端
+cd ../backend
-cd ../../frontend && npm run build
+source venv/bin/activate
-WEB_PORT=23566 pm2 start ../deploy/pm2/ecosystem.config.cjs
+uvicorn app.main:app --reload --host 0.0.0.0 --port 23566
 ```
 
+访问 http://localhost:23566
+
 ---
 
 ## 运维
 
 ```bash
-bash deploy/update.sh    # 更新
+bash deploy/update.sh    # 拉代码 + 更新依赖 + 重启服务
 bash deploy/backup.sh    # 备份
-bash deploy/uninstall.sh # 停止
+bash deploy/uninstall.sh # 停止并卸载
 ```
 
 ---

backend/.env.example

@@ -2,7 +2,12 @@ DATABASE_URL=postgresql://gradeapp:postgres@127.0.0.1:5432/student_archive
 SECRET_KEY=dev-secret-key-change-in-production
 CORS_ORIGINS=http://localhost:5173,http://localhost:23566
 UPLOAD_DIR=uploads
+BACKUP_DIR=/root/grade-archive-backups
+BACKUP_RETENTION_DAYS=30
+AUTO_BACKUP_INTERVAL_HOURS=24
 API_PORT=23568
 OLLAMA_BASE_URL=http://127.0.0.1:11434
 OLLAMA_MODEL=qwen2.5:7b
+OCR_SERVICE_URL=
+OCR_API_KEY=
 FLUCTUATION_THRESHOLD=0.08

backend/app/core/config.py

@@ -8,11 +8,31 @@ class Settings(BaseSettings):
     REFRESH_TOKEN_EXPIRE_DAYS: int = 7
     ALGORITHM: str = "HS256"
     UPLOAD_DIR: str = "uploads"
+    BACKUP_DIR: str = "/root/grade-archive-backups"
+    BACKUP_RETENTION_DAYS: int = 30
+    AUTO_BACKUP_INTERVAL_HOURS: int = 24
     MAX_UPLOAD_SIZE: int = 10 * 1024 * 1024
     OLLAMA_BASE_URL: str = "http://127.0.0.1:11434"
     OLLAMA_MODEL: str = "qwen2.5:7b"
+    OPENAI_BASE_URL: str = "https://api.openai.com/v1"
+    OPENAI_MODEL: str = "gpt-4o-mini"
     FLUCTUATION_THRESHOLD: float = 0.08
-    CORS_ORIGINS: str = "http://localhost:5173,http://localhost:3000,http://localhost"
+    CORS_ORIGINS: str = "http://localhost:5173,http://localhost:23566,http://localhost"
+    WEB_PORT: int = 23566
+    FRONTEND_DIST: str = "../frontend/dist"
+    ADMIN_DEFAULT_USERNAME: str = "admin"
+    ADMIN_DEFAULT_PASSWORD: str = "admin123"
+    OCR_TIMEOUT_SECONDS: int = 180
+    AI_TIMEOUT_SECONDS: int = 600
+    PROCESS_STALE_MINUTES: int = 20
+    OCR_MAX_SIDE: int = 1280
+    UPLOAD_MAX_SIDE: int = 2048
+    OCR_WARMUP: bool = True
+    OCR_SERVICE_URL: str = "http://127.0.0.1:23567"
+    OCR_API_KEY: str = ""
+    OCR_USE_GPU: bool = False
+    OCR_FILTER_HANDWRITING: bool = True
+    OCR_ANSWER_ZONE_RATIO: float = 0.45
 
     class Config:
         env_file = ".env"

backend/app/core/deps.py

@@ -32,3 +32,9 @@ def get_current_user(
     if user is None:
         raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="用户不存在")
     return user
+
+
+def get_superuser(current_user: User = Depends(get_current_user)) -> User:
+    if not current_user.is_superuser:
+        raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="需要超级管理员权限")
+    return current_user

backend/app/main.py

@@ -1,26 +1,59 @@
 from contextlib import asynccontextmanager
 from pathlib import Path
+import logging
+import threading
+import time
 
-from fastapi import FastAPI
+from fastapi import FastAPI, HTTPException
 from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import FileResponse
+from fastapi.staticfiles import StaticFiles
 
 from app.core.config import settings
 from app.core.database import Base, SessionLocal, engine
-from app.routers import auth, exams, export, students, subjects, wrong_questions
+from app.routers import admin, auth, backups, compositions, exams, export, settings as settings_router, students, subjects, wrong_questions
+from app.services import backup as backup_service
+from app.services import ocr as ocr_service
 from app.services.migrate import run_migrations
-from app.services.seed import seed_subjects
+from app.services.seed import seed_admin_and_settings, seed_subjects
+
+
+def resolve_frontend_dist() -> Path | None:
+    backend_dir = Path(__file__).resolve().parent.parent
+    dist = Path(settings.FRONTEND_DIST)
+    if not dist.is_absolute():
+        dist = (backend_dir / dist).resolve()
+    if dist.is_dir() and (dist / "index.html").is_file():
+        return dist
+    return None
+
+
+def _auto_backup_loop() -> None:
+    interval = max(settings.AUTO_BACKUP_INTERVAL_HOURS, 1) * 3600
+    time.sleep(300)
+    while True:
+        try:
+            backup_service.create_backup()
+        except Exception:
+            logging.getLogger(__name__).exception("自动备份失败")
+        time.sleep(interval)
 
 
 @asynccontextmanager
 async def lifespan(app: FastAPI):
     Path(settings.UPLOAD_DIR).mkdir(parents=True, exist_ok=True)
+    Path(settings.BACKUP_DIR).mkdir(parents=True, exist_ok=True)
     Base.metadata.create_all(bind=engine)
     run_migrations()
     db = SessionLocal()
     try:
         seed_subjects(db)
+        seed_admin_and_settings(db)
     finally:
         db.close()
+    ocr_service.warmup_ocr_engine()
+    if settings.AUTO_BACKUP_INTERVAL_HOURS > 0:
+        threading.Thread(target=_auto_backup_loop, daemon=True).start()
     yield
 
 
@@ -36,13 +69,43 @@ app.add_middleware(
 )
 
 app.include_router(auth.router, prefix="/api")
+app.include_router(settings_router.router, prefix="/api")
+app.include_router(admin.router, prefix="/api")
+app.include_router(backups.router, prefix="/api")
 app.include_router(students.router, prefix="/api")
 app.include_router(subjects.router, prefix="/api")
 app.include_router(exams.router, prefix="/api")
 app.include_router(wrong_questions.router, prefix="/api")
+app.include_router(compositions.router, prefix="/api")
 app.include_router(export.router, prefix="/api")
 
 
 @app.get("/api/health")
 def health():
     return {"status": "ok"}
+
+
+dist_dir = resolve_frontend_dist()
+if dist_dir is not None:
+    assets_dir = dist_dir / "assets"
+    if assets_dir.is_dir():
+        app.mount("/assets", StaticFiles(directory=assets_dir), name="assets")
+
+    @app.api_route(
+        "/api/{rest:path}",
+        methods=["GET", "POST", "PUT", "PATCH", "DELETE", "OPTIONS", "HEAD"],
+        include_in_schema=False,
+    )
+    async def api_not_found(rest: str):
+        raise HTTPException(status_code=404, detail="Not Found")
+
+    @app.get("/{full_path:path}", include_in_schema=False)
+    async def serve_spa(full_path: str):
+        if full_path.startswith("api/") or full_path == "api":
+            raise HTTPException(status_code=404, detail="Not Found")
+        if full_path in ("", "index.html"):
+            return FileResponse(dist_dir / "index.html")
+        candidate = dist_dir / full_path
+        if candidate.is_file():
+            return FileResponse(candidate)
+        return FileResponse(dist_dir / "index.html")

backend/app/models/user.py

@@ -22,6 +22,28 @@ class WrongQuestionStatus(str, enum.Enum):
     failed = "failed"
 
 
+class WrongQuestionCategory(str, enum.Enum):
+    regular = "regular"
+    olympiad = "olympiad"
+
+
+class CompositionStatus(str, enum.Enum):
+    pending = "pending"
+    generating = "generating"
+    done = "done"
+    failed = "failed"
+
+
+class CompositionInputMode(str, enum.Enum):
+    manual = "manual"
+    ocr = "ocr"
+
+
+class AIProvider(str, enum.Enum):
+    ollama = "ollama"
+    openai = "openai"
+
+
 class SchoolLevel(str, enum.Enum):
     junior_high = "junior_high"
     senior_high = "senior_high"
@@ -33,6 +55,7 @@ class User(Base):
     id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
     username: Mapped[str] = mapped_column(String(64), unique=True, index=True)
     password_hash: Mapped[str] = mapped_column(String(255))
+    is_superuser: Mapped[bool] = mapped_column(default=False)
     created_at: Mapped[datetime] = mapped_column(
         DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
     )
@@ -51,6 +74,8 @@ class Student(Base):
     )
     grade: Mapped[str | None] = mapped_column(String(32), nullable=True)
     class_name: Mapped[str | None] = mapped_column(String(32), nullable=True)
+    school_name: Mapped[str | None] = mapped_column(String(128), nullable=True)
+    avatar_path: Mapped[str | None] = mapped_column(String(512), nullable=True)
     created_at: Mapped[datetime] = mapped_column(
         DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
     )
@@ -62,6 +87,9 @@ class Student(Base):
     wrong_questions: Mapped[list["WrongQuestion"]] = relationship(
         back_populates="student", cascade="all, delete-orphan"
     )
+    compositions: Mapped[list["Composition"]] = relationship(
+        back_populates="student", cascade="all, delete-orphan"
+    )
 
 
 class Subject(Base):
@@ -104,6 +132,7 @@ class SubjectScore(Base):
     total_score: Mapped[float] = mapped_column(Numeric(8, 2))
     obtained_score: Mapped[float] = mapped_column(Numeric(8, 2))
     ratio: Mapped[float] = mapped_column(Numeric(8, 4))
+    review_statuses_json: Mapped[str | None] = mapped_column(Text, nullable=True)
 
     exam_record: Mapped["ExamRecord"] = relationship(back_populates="scores")
     subject: Mapped["Subject"] = relationship(back_populates="scores")
@@ -118,13 +147,64 @@ class WrongQuestion(Base):
     image_path: Mapped[str] = mapped_column(String(512))
     ocr_raw_text: Mapped[str | None] = mapped_column(Text, nullable=True)
     question_text: Mapped[str | None] = mapped_column(Text, nullable=True)
+    solution_approach: Mapped[str | None] = mapped_column(Text, nullable=True)
     solution_text: Mapped[str | None] = mapped_column(Text, nullable=True)
+    mark_regions_json: Mapped[str | None] = mapped_column(Text, nullable=True)
+    annotated_image_path: Mapped[str | None] = mapped_column(String(512), nullable=True)
+    cropped_image_path: Mapped[str | None] = mapped_column(String(512), nullable=True)
+    error_message: Mapped[str | None] = mapped_column(Text, nullable=True)
     status: Mapped[WrongQuestionStatus] = mapped_column(
         Enum(WrongQuestionStatus), default=WrongQuestionStatus.pending
     )
+    category: Mapped[WrongQuestionCategory] = mapped_column(
+        Enum(WrongQuestionCategory), default=WrongQuestionCategory.regular
+    )
     created_at: Mapped[datetime] = mapped_column(
         DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
     )
 
     student: Mapped["Student"] = relationship(back_populates="wrong_questions")
     subject: Mapped["Subject"] = relationship(back_populates="wrong_questions")
+
+
+class Composition(Base):
+    __tablename__ = "compositions"
+
+    id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
+    student_id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), ForeignKey("students.id"), index=True)
+    topic: Mapped[str] = mapped_column(Text)
+    input_mode: Mapped[CompositionInputMode] = mapped_column(
+        Enum(CompositionInputMode), default=CompositionInputMode.manual
+    )
+    writing_plan: Mapped[str | None] = mapped_column(Text, nullable=True)
+    sample_essay: Mapped[str | None] = mapped_column(Text, nullable=True)
+    error_message: Mapped[str | None] = mapped_column(Text, nullable=True)
+    status: Mapped[CompositionStatus] = mapped_column(
+        Enum(CompositionStatus), default=CompositionStatus.pending
+    )
+    created_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
+    )
+    updated_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
+    )
+
+    student: Mapped["Student"] = relationship(back_populates="compositions")
+
+
+class SystemSettings(Base):
+    __tablename__ = "system_settings"
+
+    id: Mapped[int] = mapped_column(Integer, primary_key=True, default=1)
+    registration_enabled: Mapped[bool] = mapped_column(default=True)
+    ai_review_enabled: Mapped[bool] = mapped_column(default=True)
+    ai_provider: Mapped[str] = mapped_column(String(16), default="ollama")
+    ollama_base_url: Mapped[str | None] = mapped_column(String(256), nullable=True)
+    ollama_model: Mapped[str | None] = mapped_column(String(128), nullable=True)
+    openai_base_url: Mapped[str | None] = mapped_column(String(256), nullable=True)
+    openai_model: Mapped[str | None] = mapped_column(String(128), nullable=True)
+    openai_api_key: Mapped[str | None] = mapped_column(String(512), nullable=True)
+    ocr_service_url: Mapped[str | None] = mapped_column(String(256), nullable=True)
+    updated_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
+    )

backend/app/routers/admin.py

@@ -0,0 +1,173 @@
+import uuid
+from datetime import datetime, timezone
+
+from fastapi import APIRouter, Depends, HTTPException, status
+from sqlalchemy.orm import Session
+
+from app.core.database import get_db
+from app.core.deps import get_superuser
+from app.core.security import get_password_hash, verify_password
+from app.models.user import SystemSettings, User
+from app.schemas import (
+    AdminProfileUpdate,
+    AdminUserCreate,
+    AdminUserOut,
+    AdminUserPasswordUpdate,
+    AIProviderEnum,
+    PublicSettingsOut,
+    SystemSettingsOut,
+    SystemSettingsUpdate,
+)
+from app.services.url_sanitize import sanitize_http_url, sanitize_model_name
+
+router = APIRouter(prefix="/admin", tags=["admin"])
+
+
+def settings_to_out(row: SystemSettings) -> SystemSettingsOut:
+    return SystemSettingsOut(
+        registration_enabled=row.registration_enabled,
+        ai_review_enabled=getattr(row, "ai_review_enabled", True),
+        ai_provider=AIProviderEnum(row.ai_provider or "ollama"),
+        ollama_base_url=row.ollama_base_url,
+        ollama_model=row.ollama_model,
+        openai_base_url=row.openai_base_url,
+        openai_model=row.openai_model,
+        openai_api_key_set=bool(row.openai_api_key),
+        ocr_service_url=row.ocr_service_url,
+        updated_at=row.updated_at,
+    )
+
+
+def get_or_create_settings(db: Session) -> SystemSettings:
+    row = db.get(SystemSettings, 1)
+    if row is None:
+        row = SystemSettings(id=1, registration_enabled=True)
+        db.add(row)
+        db.commit()
+        db.refresh(row)
+    return row
+
+
+@router.get("/settings", response_model=SystemSettingsOut)
+def get_settings(
+    db: Session = Depends(get_db),
+    _: User = Depends(get_superuser),
+):
+    return settings_to_out(get_or_create_settings(db))
+
+
+@router.patch("/settings", response_model=SystemSettingsOut)
+def update_settings(
+    data: SystemSettingsUpdate,
+    db: Session = Depends(get_db),
+    _: User = Depends(get_superuser),
+):
+    row = get_or_create_settings(db)
+    if data.registration_enabled is not None:
+        row.registration_enabled = data.registration_enabled
+    if data.ai_review_enabled is not None:
+        row.ai_review_enabled = data.ai_review_enabled
+    if data.ai_provider is not None:
+        row.ai_provider = data.ai_provider.value
+    if data.ollama_base_url is not None:
+        row.ollama_base_url = sanitize_http_url(data.ollama_base_url) or None
+    if data.ollama_model is not None:
+        row.ollama_model = sanitize_model_name(data.ollama_model) or None
+    if data.openai_base_url is not None:
+        row.openai_base_url = sanitize_http_url(data.openai_base_url) or None
+    if data.openai_model is not None:
+        row.openai_model = sanitize_model_name(data.openai_model) or None
+    if data.openai_api_key is not None and data.openai_api_key.strip():
+        row.openai_api_key = data.openai_api_key.strip()
+    if data.ocr_service_url is not None:
+        row.ocr_service_url = data.ocr_service_url.strip() or None
+    row.updated_at = datetime.now(timezone.utc)
+    db.commit()
+    db.refresh(row)
+    return settings_to_out(row)
+
+
+@router.patch("/profile", response_model=AdminUserOut)
+def update_profile(
+    data: AdminProfileUpdate,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_superuser),
+):
+    if not data.username and not data.password:
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="请填写要修改的内容")
+
+    if data.password:
+        if not data.current_password:
+            raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="修改密码需提供当前密码")
+        if not verify_password(data.current_password, current_user.password_hash):
+            raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="当前密码错误")
+
+    if data.username and data.username != current_user.username:
+        if db.query(User).filter(User.username == data.username).first():
+            raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="用户名已存在")
+        current_user.username = data.username
+
+    if data.password:
+        current_user.password_hash = get_password_hash(data.password)
+
+    db.commit()
+    db.refresh(current_user)
+    return current_user
+
+
+@router.get("/users", response_model=list[AdminUserOut])
+def list_users(
+    db: Session = Depends(get_db),
+    _: User = Depends(get_superuser),
+):
+    return db.query(User).order_by(User.created_at).all()
+
+
+@router.post("/users", response_model=AdminUserOut, status_code=status.HTTP_201_CREATED)
+def create_user(
+    data: AdminUserCreate,
+    db: Session = Depends(get_db),
+    _: User = Depends(get_superuser),
+):
+    if db.query(User).filter(User.username == data.username).first():
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="用户名已存在")
+    user = User(username=data.username, password_hash=get_password_hash(data.password))
+    db.add(user)
+    db.commit()
+    db.refresh(user)
+    return user
+
+
+@router.patch("/users/{user_id}", response_model=AdminUserOut)
+def reset_user_password(
+    user_id: uuid.UUID,
+    data: AdminUserPasswordUpdate,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_superuser),
+):
+    user = db.get(User, user_id)
+    if user is None:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="用户不存在")
+    if user.is_superuser and user.id != current_user.id:
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="不能修改其他超级管理员")
+    user.password_hash = get_password_hash(data.password)
+    db.commit()
+    db.refresh(user)
+    return user
+
+
+@router.delete("/users/{user_id}", status_code=status.HTTP_204_NO_CONTENT)
+def delete_user(
+    user_id: uuid.UUID,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_superuser),
+):
+    if user_id == current_user.id:
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="不能删除当前登录账号")
+    user = db.get(User, user_id)
+    if user is None:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="用户不存在")
+    if user.is_superuser:
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="不能删除超级管理员")
+    db.delete(user)
+    db.commit()

backend/app/routers/auth.py

@@ -13,14 +13,27 @@ from app.core.security import (
     get_password_hash,
     verify_password,
 )
-from app.models.user import User
+from app.models.user import SystemSettings, User
 from app.schemas import RefreshRequest, TokenResponse, UserLogin, UserOut, UserRegister
 
 router = APIRouter(prefix="/auth", tags=["auth"])
 
 
+def get_or_create_settings(db: Session) -> SystemSettings:
+    row = db.get(SystemSettings, 1)
+    if row is None:
+        row = SystemSettings(id=1, registration_enabled=True)
+        db.add(row)
+        db.commit()
+        db.refresh(row)
+    return row
+
+
 @router.post("/register", response_model=UserOut, status_code=status.HTTP_201_CREATED)
 def register(data: UserRegister, db: Session = Depends(get_db)):
+    settings_row = get_or_create_settings(db)
+    if not settings_row.registration_enabled:
+        raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="注册已关闭，请联系管理员")
     if db.query(User).filter(User.username == data.username).first():
         raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="用户名已存在")
     user = User(username=data.username, password_hash=get_password_hash(data.password))

backend/app/routers/backups.py

@@ -0,0 +1,80 @@
+from fastapi import APIRouter, Depends, File, HTTPException, UploadFile, status
+from fastapi.responses import FileResponse
+
+from app.core.deps import get_superuser
+from app.models.user import User
+from app.schemas import BackupInfoOut
+from app.services import backup as backup_service
+
+router = APIRouter(prefix="/admin/backups", tags=["admin-backups"])
+
+
+@router.get("", response_model=list[BackupInfoOut])
+def list_backups(_: User = Depends(get_superuser)):
+    return backup_service.list_backups()
+
+
+@router.post("/run", response_model=BackupInfoOut)
+def run_backup(_: User = Depends(get_superuser)):
+    try:
+        path = backup_service.create_backup()
+    except FileNotFoundError as exc:
+        raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(exc)) from exc
+    except Exception as exc:
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"备份失败: {exc}",
+        ) from exc
+    stat = path.stat()
+    from datetime import datetime, timezone
+
+    return BackupInfoOut(
+        filename=path.name,
+        size_bytes=stat.st_size,
+        created_at=datetime.fromtimestamp(stat.st_mtime, tz=timezone.utc),
+    )
+
+
+@router.get("/{filename}/download")
+def download_backup(filename: str, _: User = Depends(get_superuser)):
+    try:
+        path = backup_service.resolve_backup_file(filename)
+    except ValueError as exc:
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(exc)) from exc
+    except FileNotFoundError as exc:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="备份不存在") from exc
+    return FileResponse(
+        path,
+        media_type="application/gzip",
+        filename=filename,
+        headers={"Content-Disposition": f'attachment; filename="{filename}"'},
+    )
+
+
+@router.post("/restore")
+async def restore_backup(file: UploadFile = File(...), _: User = Depends(get_superuser)):
+    if not file.filename or not file.filename.endswith(".tar.gz"):
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="请上传 .tar.gz 备份包")
+    content = await file.read()
+    if len(content) > 512 * 1024 * 1024:
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="备份文件过大（最大 512MB）")
+
+    import tempfile
+    from pathlib import Path
+
+    tmp = Path(tempfile.mkdtemp(prefix="grade-archive-upload-"))
+    archive = tmp / "restore.tar.gz"
+    try:
+        archive.write_bytes(content)
+        backup_service.restore_backup(archive)
+    except Exception as exc:
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"恢复失败: {exc}",
+        ) from exc
+    finally:
+        import shutil
+
+        shutil.rmtree(tmp, ignore_errors=True)
+
+    return {"ok": True, "message": "数据已恢复，建议重启服务以确保缓存刷新"}

backend/app/routers/compositions.py

@@ -0,0 +1,261 @@
+import re
+import uuid
+from concurrent.futures import ThreadPoolExecutor, TimeoutError as FuturesTimeout
+from datetime import datetime, timezone
+from pathlib import Path
+
+from fastapi import APIRouter, BackgroundTasks, Depends, File, HTTPException, UploadFile, status
+from fastapi.responses import Response
+from sqlalchemy.orm import Session, joinedload
+
+from app.core.config import settings
+from app.core.database import SessionLocal, get_db
+from app.core.deps import get_current_user
+from app.models.user import Composition, CompositionInputMode, CompositionStatus, SystemSettings, User
+from app.schemas import CompositionCreate, CompositionInputModeEnum, CompositionOcrOut, CompositionOut
+from app.services import llm as llm_service
+from app.services import ocr as ocr_service
+from app.services.student_access import get_student_for_user
+
+router = APIRouter(tags=["compositions"])
+
+
+def _ocr_service_url(db: Session) -> str | None:
+    row = db.get(SystemSettings, 1)
+    if row and row.ocr_service_url:
+        return row.ocr_service_url.strip() or None
+    return ocr_service.resolve_ocr_service_url()
+
+
+def _to_out(item: Composition) -> CompositionOut:
+    return CompositionOut(
+        id=item.id,
+        student_id=item.student_id,
+        topic=item.topic,
+        input_mode=CompositionInputModeEnum(item.input_mode.value),
+        writing_plan=item.writing_plan,
+        sample_essay=item.sample_essay,
+        error_message=item.error_message,
+        status=item.status,
+        created_at=item.created_at,
+        updated_at=item.updated_at,
+    )
+
+
+def _safe_filename(name: str) -> str:
+    cleaned = re.sub(r'[\\/:*?"<>|]', "_", name).strip() or "composition"
+    return cleaned[:40]
+
+
+async def _generate_composition(composition_id: uuid.UUID):
+    db = SessionLocal()
+    try:
+        item = (
+            db.query(Composition)
+            .options(joinedload(Composition.student))
+            .filter(Composition.id == composition_id)
+            .first()
+        )
+        if item is None:
+            return
+        student = item.student
+        item.status = CompositionStatus.generating
+        item.error_message = None
+        db.commit()
+
+        ai_cfg = llm_service.load_ai_config(db)
+        try:
+            plan, essay = await llm_service.generate_composition(
+                ai_cfg,
+                item.topic,
+                student.school_level if student else None,
+                student.grade if student else None,
+            )
+            item.writing_plan = plan or None
+            item.sample_essay = essay or None
+            if not item.writing_plan and not item.sample_essay:
+                raise ValueError("AI 未返回有效内容")
+            item.status = CompositionStatus.done
+            item.error_message = None
+        except Exception as exc:
+            item.status = CompositionStatus.failed
+            item.error_message = str(exc)[:500]
+        item.updated_at = datetime.now(timezone.utc)
+        db.commit()
+    finally:
+        db.close()
+
+
+@router.get("/students/{student_id}/compositions", response_model=list[CompositionOut])
+def list_compositions(
+    student_id: uuid.UUID,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+):
+    get_student_for_user(db, student_id, current_user.id)
+    items = (
+        db.query(Composition)
+        .filter(Composition.student_id == student_id)
+        .order_by(Composition.created_at.desc())
+        .all()
+    )
+    return [_to_out(item) for item in items]
+
+
+@router.post(
+    "/students/{student_id}/compositions",
+    response_model=CompositionOut,
+    status_code=status.HTTP_201_CREATED,
+)
+async def create_composition(
+    student_id: uuid.UUID,
+    data: CompositionCreate,
+    background_tasks: BackgroundTasks,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+):
+    get_student_for_user(db, student_id, current_user.id)
+    item = Composition(
+        student_id=student_id,
+        topic=data.topic.strip(),
+        input_mode=CompositionInputMode(data.input_mode.value),
+        status=CompositionStatus.pending,
+    )
+    db.add(item)
+    db.commit()
+    db.refresh(item)
+    background_tasks.add_task(_generate_composition, item.id)
+    return _to_out(item)
+
+
+@router.post("/students/{student_id}/compositions/ocr", response_model=CompositionOcrOut)
+async def ocr_composition_topic(
+    student_id: uuid.UUID,
+    file: UploadFile = File(...),
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+):
+    get_student_for_user(db, student_id, current_user.id)
+    content = await file.read()
+    if len(content) > settings.MAX_UPLOAD_SIZE:
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="文件超过10MB限制")
+
+    tmp_dir = Path(settings.UPLOAD_DIR) / "ocr-tmp"
+    tmp_dir.mkdir(parents=True, exist_ok=True)
+    tmp_path = tmp_dir / f"{uuid.uuid4()}.jpg"
+    tmp_path.write_bytes(content)
+    ocr_url = _ocr_service_url(db)
+    try:
+        with ThreadPoolExecutor(max_workers=1) as pool:
+            future = pool.submit(ocr_service.run_ocr_with_regions, str(tmp_path), ocr_url)
+            result = future.result(timeout=settings.OCR_TIMEOUT_SECONDS)
+        text = (result.get("text") or "").strip()
+        if not text:
+            raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="OCR 未识别到文字")
+        return CompositionOcrOut(text=text)
+    except FuturesTimeout:
+        raise HTTPException(
+            status_code=status.HTTP_504_GATEWAY_TIMEOUT,
+            detail=f"OCR 识别超时（>{settings.OCR_TIMEOUT_SECONDS}秒）",
+        ) from None
+    except HTTPException:
+        raise
+    except Exception as exc:
+        raise HTTPException(
+            status_code=status.HTTP_502_BAD_GATEWAY,
+            detail=f"OCR 识别失败：{exc}",
+        ) from exc
+    finally:
+        tmp_path.unlink(missing_ok=True)
+
+
+@router.get("/compositions/{composition_id}", response_model=CompositionOut)
+def get_composition(
+    composition_id: uuid.UUID,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+):
+    item = (
+        db.query(Composition)
+        .join(Composition.student)
+        .filter(Composition.id == composition_id)
+        .first()
+    )
+    if item is None or item.student.user_id != current_user.id:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="作文记录不存在")
+    return _to_out(item)
+
+
+@router.post("/compositions/{composition_id}/regenerate", response_model=CompositionOut)
+async def regenerate_composition(
+    composition_id: uuid.UUID,
+    background_tasks: BackgroundTasks,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+):
+    item = (
+        db.query(Composition)
+        .join(Composition.student)
+        .filter(Composition.id == composition_id)
+        .first()
+    )
+    if item is None or item.student.user_id != current_user.id:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="作文记录不存在")
+
+    item.status = CompositionStatus.pending
+    item.error_message = None
+    item.writing_plan = None
+    item.sample_essay = None
+    db.commit()
+    background_tasks.add_task(_generate_composition, item.id)
+    db.refresh(item)
+    return _to_out(item)
+
+
+@router.get("/compositions/{composition_id}/download")
+def download_composition(
+    composition_id: uuid.UUID,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+):
+    item = (
+        db.query(Composition)
+        .join(Composition.student)
+        .filter(Composition.id == composition_id)
+        .first()
+    )
+    if item is None or item.student.user_id != current_user.id:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="作文记录不存在")
+    if item.status != CompositionStatus.done:
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="作文尚未生成完成")
+
+    body = llm_service.composition_markdown(item.topic, item.writing_plan, item.sample_essay)
+    filename = f"{_safe_filename(item.topic)}.md"
+    from urllib.parse import quote
+
+    encoded = quote(filename)
+    return Response(
+        content=body.encode("utf-8"),
+        media_type="text/markdown; charset=utf-8",
+        headers={
+            "Content-Disposition": f'attachment; filename="composition.md"; filename*=UTF-8\'\'{encoded}'
+        },
+    )
+
+
+@router.delete("/compositions/{composition_id}", status_code=status.HTTP_204_NO_CONTENT)
+def delete_composition(
+    composition_id: uuid.UUID,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+):
+    item = (
+        db.query(Composition)
+        .join(Composition.student)
+        .filter(Composition.id == composition_id)
+        .first()
+    )
+    if item is None or item.student.user_id != current_user.id:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="作文记录不存在")
+    db.delete(item)
+    db.commit()

backend/app/routers/exams.py

@@ -1,3 +1,4 @@
+import json
 import uuid
 
 from fastapi import APIRouter, Depends, HTTPException, Query, status
@@ -5,13 +6,120 @@ from sqlalchemy.orm import Session, joinedload
 
 from app.core.database import get_db
 from app.core.deps import get_current_user
-from app.models.user import ExamRecord, SubjectScore, User
+from app.models.user import ExamRecord, SubjectScore, SystemSettings, User
-from app.schemas import ExamCreate, ExamOut, ExamUpdate, ScoreOut, TrendResponse
+from app.schemas import (
+    ExamCreate,
+    ExamOut,
+    ExamReviewUpdate,
+    ExamUpdate,
+    ReviewInsightRequest,
+    ReviewInsightResponse,
+    ReviewStatusEnum,
+    ScoreOut,
+    TrendResponse,
+)
+from app.services import llm as llm_service
 from app.services.score_trend import build_trend
 from app.services.student_access import get_student_for_user
 
 router = APIRouter(tags=["exams"])
 
+_EXAM_TYPE_LABELS = {"weekly": "周考", "monthly": "月考", "final": "期末"}
+_REVIEW_STATUS_LABELS = {
+    ReviewStatusEnum.careless: "粗心",
+    ReviewStatusEnum.unknown: "不会",
+    ReviewStatusEnum.nervous: "紧张",
+    ReviewStatusEnum.normal: "正常发挥",
+}
+
+
+def _subject_display_name(score: SubjectScore) -> str:
+    return score.subject.name if score.subject else f"科目{score.subject_id}"
+
+
+def _build_review_insight_context(exams: list[ExamRecord], subject_name: str) -> str:
+    entries: list[tuple[ExamRecord, SubjectScore, list[ReviewStatusEnum]]] = []
+    status_counts = {status: 0 for status in ReviewStatusEnum}
+
+    for exam in exams:
+        for score in exam.scores:
+            if _subject_display_name(score) != subject_name:
+                continue
+            statuses = _parse_review_statuses(score.review_statuses_json)
+            if not statuses:
+                continue
+            entries.append((exam, score, statuses))
+            for status in statuses:
+                status_counts[status] += 1
+
+    if not entries:
+        return ""
+
+    entries.sort(key=lambda item: (item[0].exam_date, item[0].created_at))
+    total = len(entries)
+
+    summary_parts = [
+        f"{_REVIEW_STATUS_LABELS[s]}{status_counts[s]}次"
+        for s in ReviewStatusEnum
+        if status_counts[s] > 0
+    ]
+    lines = [
+        f"科目：{subject_name}",
+        f"共 {total} 次有复盘记录的考试",
+        f"状态统计：{'、'.join(summary_parts)}",
+        "",
+        "【按考试日期从早到晚，请严格按此顺序解读，不得颠倒】",
+    ]
+
+    for index, (exam, score, statuses) in enumerate(entries, start=1):
+        type_label = _EXAM_TYPE_LABELS.get(exam.exam_type.value, exam.exam_type.value)
+        status_text = "、".join(_REVIEW_STATUS_LABELS.get(s, s.value) for s in statuses)
+        obtained = float(score.obtained_score)
+        total_score = float(score.total_score)
+        ratio = float(score.ratio) * 100
+        lost = total_score - obtained
+        when = "（最近一次）" if index == total else ""
+        line = (
+            f"第{index}次{when} | 日期 {exam.exam_date} | {type_label} | "
+            f"得分 {obtained:g}/{total_score:g}（得分率 {ratio:.1f}%，失分 {lost:g} 分）| "
+            f"复盘状态：{status_text}"
+        )
+        if exam.title:
+            line += f" | 备注：{exam.title}"
+        lines.append(line)
+
+    return "\n".join(lines)
+
+
+def _parse_review_statuses(raw: str | None) -> list[ReviewStatusEnum]:
+    if not raw:
+        return []
+    try:
+        data = json.loads(raw)
+    except json.JSONDecodeError:
+        return []
+    if not isinstance(data, list):
+        return []
+    result: list[ReviewStatusEnum] = []
+    for item in data:
+        try:
+            result.append(ReviewStatusEnum(str(item)))
+        except ValueError:
+            continue
+    return result
+
+
+def _serialize_review_statuses(statuses: list[ReviewStatusEnum] | None) -> str | None:
+    if not statuses:
+        return None
+    values: list[str] = []
+    for item in statuses:
+        if isinstance(item, ReviewStatusEnum):
+            values.append(item.value)
+        else:
+            values.append(str(item))
+    return json.dumps(values, ensure_ascii=False)
+
 
 def _score_to_out(score: SubjectScore) -> ScoreOut:
     return ScoreOut(
@@ -21,6 +129,7 @@ def _score_to_out(score: SubjectScore) -> ScoreOut:
         total_score=float(score.total_score),
         obtained_score=float(score.obtained_score),
         ratio=float(score.ratio),
+        review_statuses=_parse_review_statuses(score.review_statuses_json),
     )
 
 
@@ -36,18 +145,35 @@ def _exam_to_out(exam: ExamRecord) -> ExamOut:
 
 
 def _apply_scores(db: Session, exam: ExamRecord, scores_data):
-    exam.scores.clear()
+    existing_by_subject = {s.subject_id: s for s in list(exam.scores)}
+    keep_subject_ids: set[int] = set()
+
     for item in scores_data:
+        keep_subject_ids.add(item.subject_id)
         ratio = round(item.obtained_score / item.total_score, 4)
+        review_json = _serialize_review_statuses(item.review_statuses)
+        existing = existing_by_subject.get(item.subject_id)
+        if existing is not None:
+            existing.total_score = item.total_score
+            existing.obtained_score = item.obtained_score
+            existing.ratio = ratio
+            existing.review_statuses_json = review_json
+        else:
             exam.scores.append(
                 SubjectScore(
                     subject_id=item.subject_id,
                     total_score=item.total_score,
                     obtained_score=item.obtained_score,
                     ratio=ratio,
+                    review_statuses_json=review_json,
                 )
             )
 
+    for subject_id, score in existing_by_subject.items():
+        if subject_id not in keep_subject_ids:
+            exam.scores.remove(score)
+            db.delete(score)
+
 
 @router.get("/students/{student_id}/exams", response_model=list[ExamOut])
 def list_exams(
@@ -150,6 +276,86 @@ def update_exam(
     return _exam_to_out(exam)
 
 
+@router.patch("/exams/{exam_id}/review", response_model=ExamOut)
+def update_exam_review(
+    exam_id: uuid.UUID,
+    data: ExamReviewUpdate,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+):
+    exam = (
+        db.query(ExamRecord)
+        .options(joinedload(ExamRecord.scores).joinedload(SubjectScore.subject))
+        .join(ExamRecord.student)
+        .filter(ExamRecord.id == exam_id)
+        .first()
+    )
+    if exam is None or exam.student.user_id != current_user.id:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="考试记录不存在")
+
+    by_subject = {s.subject_id: s for s in exam.scores}
+    for item in data.reviews:
+        score = by_subject.get(item.subject_id)
+        if score is None:
+            raise HTTPException(
+                status_code=status.HTTP_400_BAD_REQUEST,
+                detail=f"科目 {item.subject_id} 不在该次考试中",
+            )
+        score.review_statuses_json = _serialize_review_statuses(item.review_statuses)
+
+    db.commit()
+    db.refresh(exam)
+    exam = (
+        db.query(ExamRecord)
+        .options(joinedload(ExamRecord.scores).joinedload(SubjectScore.subject))
+        .filter(ExamRecord.id == exam.id)
+        .first()
+    )
+    return _exam_to_out(exam)
+
+
+@router.post("/students/{student_id}/review-insight", response_model=ReviewInsightResponse)
+async def review_insight(
+    student_id: uuid.UUID,
+    data: ReviewInsightRequest,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+):
+    student = get_student_for_user(db, student_id, current_user.id)
+    settings_row = db.get(SystemSettings, 1)
+    if settings_row is not None and not getattr(settings_row, "ai_review_enabled", True):
+        raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="AI 复盘解读已在系统设置中关闭")
+
+    exams = (
+        db.query(ExamRecord)
+        .options(joinedload(ExamRecord.scores).joinedload(SubjectScore.subject))
+        .filter(ExamRecord.student_id == student_id)
+        .all()
+    )
+    subject_name = data.subject_name.strip()
+    records = _build_review_insight_context(exams, subject_name)
+    if not records:
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail="该科目暂无复盘数据",
+        )
+
+    ai_cfg = llm_service.load_ai_config(db)
+    try:
+        insight = await llm_service.generate_review_insight(
+            ai_cfg,
+            subject_name,
+            records,
+            student.school_level,
+        )
+    except Exception as exc:
+        raise HTTPException(
+            status_code=status.HTTP_502_BAD_GATEWAY,
+            detail=f"AI 调用失败: {exc}",
+        ) from exc
+    return ReviewInsightResponse(insight=insight)
+
+
 @router.delete("/exams/{exam_id}", status_code=status.HTTP_204_NO_CONTENT)
 def delete_exam(
     exam_id: uuid.UUID,

backend/app/routers/export.py

@@ -1,9 +1,10 @@
 import csv
 import io
 import uuid
+from urllib.parse import quote
 
 from fastapi import APIRouter, Depends
-from fastapi.responses import StreamingResponse
+from fastapi.responses import Response
 from sqlalchemy.orm import Session, joinedload
 
 from app.core.database import get_db
@@ -34,10 +35,11 @@ def export_scores_csv(
     writer.writerow(["考试日期", "考试类型", "标题", "科目", "总分", "得分", "占比"])
     type_map = {"weekly": "周考", "monthly": "月考", "final": "期末"}
     for exam in exams:
+        exam_type = exam.exam_type.value if hasattr(exam.exam_type, "value") else str(exam.exam_type)
         for score in exam.scores:
             writer.writerow([
                 exam.exam_date.isoformat(),
-                type_map.get(exam.exam_type.value, exam.exam_type.value),
+                type_map.get(exam_type, exam_type),
                 exam.title or "",
                 score.subject.name if score.subject else "",
                 float(score.total_score),
@@ -45,10 +47,13 @@ def export_scores_csv(
                 f"{float(score.ratio) * 100:.2f}%",
             ])
 
-    output.seek(0)
+    content = output.getvalue().encode("utf-8-sig")
     filename = f"{student.name}_scores.csv"
-    return StreamingResponse(
+    encoded = quote(filename)
-        iter([output.getvalue().encode("utf-8-sig")]),
+    return Response(
-        media_type="text/csv",
+        content=content,
-        headers={"Content-Disposition": f'attachment; filename="{filename}"'},
+        media_type="text/csv; charset=utf-8",
+        headers={
+            "Content-Disposition": f'attachment; filename="scores.csv"; filename*=UTF-8\'\'{encoded}'
+        },
     )

backend/app/routers/settings.py

@@ -0,0 +1,34 @@
+from fastapi import APIRouter, Depends
+from sqlalchemy.orm import Session
+
+from app.core.database import get_db
+from app.core.deps import get_current_user
+from app.models.user import SystemSettings, User
+from app.schemas import AppFeaturesOut, PublicSettingsOut
+
+router = APIRouter(prefix="/settings", tags=["settings"])
+
+
+def get_or_create_settings(db: Session) -> SystemSettings:
+    row = db.get(SystemSettings, 1)
+    if row is None:
+        row = SystemSettings(id=1, registration_enabled=True)
+        db.add(row)
+        db.commit()
+        db.refresh(row)
+    return row
+
+
+@router.get("/public", response_model=PublicSettingsOut)
+def public_settings(db: Session = Depends(get_db)):
+    row = get_or_create_settings(db)
+    return PublicSettingsOut(registration_enabled=row.registration_enabled)
+
+
+@router.get("/app-features", response_model=AppFeaturesOut)
+def app_features(
+    db: Session = Depends(get_db),
+    _: User = Depends(get_current_user),
+):
+    row = get_or_create_settings(db)
+    return AppFeaturesOut(ai_review_enabled=getattr(row, "ai_review_enabled", True))

backend/app/routers/students.py

@@ -1,28 +1,37 @@
 import uuid
+from pathlib import Path
 
-from fastapi import APIRouter, Depends, HTTPException, status
+from fastapi import APIRouter, Depends, File, HTTPException, UploadFile, status
+from fastapi.responses import FileResponse
 from sqlalchemy.orm import Session
 
+from app.core.config import settings
 from app.core.database import get_db
 from app.core.deps import get_current_user
 from app.models.user import Student, User
 from app.schemas import StudentCreate, StudentOut, StudentUpdate
 from app.services.student_access import get_student_for_user
+from app.services.student_avatar import delete_avatar_file, save_avatar
 
 router = APIRouter(prefix="/students", tags=["students"])
 
 
+def _to_out(student: Student) -> StudentOut:
+    return StudentOut.from_student(student)
+
+
 @router.get("", response_model=list[StudentOut])
 def list_students(
     db: Session = Depends(get_db),
     current_user: User = Depends(get_current_user),
 ):
-    return (
+    rows = (
         db.query(Student)
         .filter(Student.user_id == current_user.id)
         .order_by(Student.created_at.desc())
         .all()
     )
+    return [_to_out(row) for row in rows]
 
 
 @router.post("", response_model=StudentOut, status_code=status.HTTP_201_CREATED)
@@ -35,7 +44,7 @@ def create_student(
     db.add(student)
     db.commit()
     db.refresh(student)
-    return student
+    return _to_out(student)
 
 
 @router.get("/{student_id}", response_model=StudentOut)
@@ -44,7 +53,8 @@ def get_student(
     db: Session = Depends(get_db),
     current_user: User = Depends(get_current_user),
 ):
-    return get_student_for_user(db, student_id, current_user.id)
+    student = get_student_for_user(db, student_id, current_user.id)
+    return _to_out(student)
 
 
 @router.patch("/{student_id}", response_model=StudentOut)
@@ -59,7 +69,7 @@ def update_student(
         setattr(student, key, value)
     db.commit()
     db.refresh(student)
-    return student
+    return _to_out(student)
 
 
 @router.delete("/{student_id}", status_code=status.HTTP_204_NO_CONTENT)
@@ -69,5 +79,56 @@ def delete_student(
     current_user: User = Depends(get_current_user),
 ):
     student = get_student_for_user(db, student_id, current_user.id)
+    delete_avatar_file(student.avatar_path)
     db.delete(student)
     db.commit()
+
+
+@router.post("/{student_id}/avatar", response_model=StudentOut)
+async def upload_avatar(
+    student_id: uuid.UUID,
+    file: UploadFile = File(...),
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+):
+    student = get_student_for_user(db, student_id, current_user.id)
+    content = await file.read()
+    if len(content) > settings.MAX_UPLOAD_SIZE:
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="文件超过10MB限制")
+    if not (file.content_type or "").startswith("image/"):
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="请上传图片文件")
+
+    delete_avatar_file(student.avatar_path)
+    student.avatar_path = save_avatar(str(current_user.id), str(student.id), content)
+    db.commit()
+    db.refresh(student)
+    return _to_out(student)
+
+
+@router.delete("/{student_id}/avatar", response_model=StudentOut)
+def remove_avatar(
+    student_id: uuid.UUID,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+):
+    student = get_student_for_user(db, student_id, current_user.id)
+    delete_avatar_file(student.avatar_path)
+    student.avatar_path = None
+    db.commit()
+    db.refresh(student)
+    return _to_out(student)
+
+
+@router.get("/{student_id}/avatar")
+def get_avatar(
+    student_id: uuid.UUID,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+):
+    student = get_student_for_user(db, student_id, current_user.id)
+    if not student.avatar_path:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="未设置头像")
+    path = Path(settings.UPLOAD_DIR) / student.avatar_path
+    if not path.is_file():
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="头像文件不存在")
+    return FileResponse(path, media_type="image/jpeg")

backend/app/routers/wrong_questions.py

@@ -1,4 +1,7 @@
+import json
 import uuid
+from concurrent.futures import ThreadPoolExecutor, TimeoutError as FuturesTimeout
+from datetime import datetime, timedelta, timezone
 from pathlib import Path
 
 from fastapi import APIRouter, BackgroundTasks, Depends, File, Form, HTTPException, Query, UploadFile, status
@@ -8,32 +11,147 @@ from sqlalchemy.orm import Session, joinedload
 from app.core.config import settings
 from app.core.database import SessionLocal, get_db
 from app.core.deps import get_current_user
-from app.models.user import Subject, User, WrongQuestion, WrongQuestionStatus
+from app.models.user import Subject, SystemSettings, User, WrongQuestion, WrongQuestionCategory, WrongQuestionStatus
-from app.schemas import WrongQuestionOut, WrongQuestionUpdate
+from app.schemas import WrongQuestionCategoryEnum, WrongQuestionOut, WrongQuestionUpdate
+from app.services import annotation as annotation_service
+from app.services import llm as llm_service
 from app.services import ocr as ocr_service
-from app.services import ollama as ollama_service
+from app.services import ocr_filter as ocr_filter_service
 from app.services.student_access import get_student_for_user
 
 router = APIRouter(tags=["wrong_questions"])
 
 
+def _short_error(exc: BaseException, prefix: str = "") -> str:
+    msg = str(exc).strip() or type(exc).__name__
+    if len(msg) > 500:
+        msg = msg[:500] + "…"
+    return f"{prefix}{msg}" if prefix else msg
+
+
+def _is_still_processing(wq: WrongQuestion) -> bool:
+    if wq.status == WrongQuestionStatus.pending:
+        return True
+    if wq.status == WrongQuestionStatus.ocr_done and not wq.question_text and not wq.error_message:
+        return True
+    return False
+
+
+def _expire_stale_processing(wq: WrongQuestion, db: Session) -> None:
+    if not _is_still_processing(wq):
+        return
+    created = wq.created_at
+    if created.tzinfo is None:
+        created = created.replace(tzinfo=timezone.utc)
+    age = datetime.now(timezone.utc) - created
+    if age <= timedelta(minutes=settings.PROCESS_STALE_MINUTES):
+        return
+    wq.status = WrongQuestionStatus.failed
+    wq.error_message = f"处理超时（超过 {settings.PROCESS_STALE_MINUTES} 分钟），请点击「重新识别标注」重试"
+    db.commit()
+
+
+def _ocr_service_url(db: Session) -> str | None:
+    row = db.get(SystemSettings, 1)
+    if row and row.ocr_service_url:
+        return row.ocr_service_url.strip() or None
+    return ocr_service.resolve_ocr_service_url()
+
+
+def _parse_mark_regions(raw: str | None) -> list[dict] | None:
+    if not raw:
+        return None
+    try:
+        data = json.loads(raw)
+        return data if isinstance(data, list) else None
+    except json.JSONDecodeError:
+        return None
+
+
 def _wq_to_out(wq: WrongQuestion) -> WrongQuestionOut:
     return WrongQuestionOut(
         id=wq.id,
         student_id=wq.student_id,
         subject_id=wq.subject_id,
         subject_name=wq.subject.name if wq.subject else None,
+        category=wq.category,
         image_path=wq.image_path,
         ocr_raw_text=wq.ocr_raw_text,
         question_text=wq.question_text,
+        solution_approach=wq.solution_approach,
         solution_text=wq.solution_text,
+        mark_regions=_parse_mark_regions(wq.mark_regions_json),
+        has_annotated_image=bool(wq.annotated_image_path),
+        has_cropped_image=bool(wq.cropped_image_path),
+        error_message=wq.error_message,
         status=wq.status,
         created_at=wq.created_at,
     )
 
 
+async def _run_ai_pipeline(
+    wq: WrongQuestion,
+    db: Session,
+    ocr_lines: list[dict],
+    printed_text: str,
+    *,
+    hw_indices: list[int] | None = None,
+):
+    import asyncio
+
+    subject_name = wq.subject.name if wq.subject else "综合"
+    school_level = wq.student.school_level if wq.student else None
+    olympiad = wq.category == WrongQuestionCategory.olympiad
+    ai_cfg = llm_service.load_ai_config(db)
+    image_full = str(Path(settings.UPLOAD_DIR) / wq.image_path)
+    timeout = settings.AI_TIMEOUT_SECONDS
+
+    candidate_indices = hw_indices if hw_indices else list(range(len(ocr_lines)))
+    candidate_lines = [ocr_lines[i] for i in candidate_indices if 0 <= i < len(ocr_lines)]
+    if not candidate_lines:
+        candidate_lines = ocr_lines
+        candidate_indices = list(range(len(ocr_lines)))
+
+    try:
+        detect_resp = await asyncio.wait_for(
+            llm_service.detect_wrong_line_ids(ai_cfg, subject_name, candidate_lines, school_level),
+            timeout=min(90, timeout),
+        )
+        local_wrong = annotation_service.parse_wrong_line_ids(detect_resp, candidate_lines)
+        wrong_ids = [candidate_indices[i] for i in local_wrong if i < len(candidate_indices)]
+    except Exception:
+        local_wrong = annotation_service.heuristic_wrong_line_ids(candidate_lines)
+        wrong_ids = [candidate_indices[i] for i in local_wrong if i < len(candidate_indices)]
+
+    regions = annotation_service.regions_from_lines(ocr_lines, wrong_ids)
+    wq.mark_regions_json = json.dumps(regions, ensure_ascii=False)
+    ann_rel = ocr_service.annotated_rel_path(wq.image_path)
+    wq.annotated_image_path = annotation_service.draw_annotated_image(
+        image_full, ocr_lines, wrong_ids, ann_rel
+    )
+    db.commit()
+
+    question_text = await asyncio.wait_for(
+        llm_service.format_question(ai_cfg, subject_name, printed_text, school_level),
+        timeout=timeout,
+    )
+    solution_full = await asyncio.wait_for(
+        llm_service.generate_solution(
+            ai_cfg, subject_name, question_text, school_level, olympiad=olympiad
+        ),
+        timeout=timeout,
+    )
+    approach, solution_body = annotation_service.split_solution_sections(solution_full)
+    wq.question_text = question_text
+    wq.solution_approach = approach
+    wq.solution_text = solution_body if approach else solution_full
+    wq.status = WrongQuestionStatus.solved
+    wq.error_message = None
+
+
 def _process_wrong_question(question_id: uuid.UUID):
     db = SessionLocal()
+    wq = None
     try:
         wq = (
             db.query(WrongQuestion)
@@ -44,42 +162,83 @@ def _process_wrong_question(question_id: uuid.UUID):
         if wq is None:
             return
 
+        wq.error_message = None
         image_full = Path(settings.UPLOAD_DIR) / wq.image_path
+        ocr_url = _ocr_service_url(db)
         try:
-            ocr_text = ocr_service.run_ocr(str(image_full))
+            with ThreadPoolExecutor(max_workers=1) as pool:
-            wq.ocr_raw_text = ocr_text or None
+                future = pool.submit(
-            wq.status = WrongQuestionStatus.ocr_done if ocr_text else WrongQuestionStatus.failed
+                    ocr_service.run_ocr_with_regions, str(image_full), ocr_url
-            db.commit()
+                )
-        except Exception:
+                ocr_result = future.result(timeout=settings.OCR_TIMEOUT_SECONDS)
-            wq.status = WrongQuestionStatus.failed
+            ocr_text = ocr_result["text"]
-            db.commit()
+            ocr_lines = ocr_result["lines"]
-            return
+            img_height = int(ocr_result.get("height") or 0)
-
+            printed_ids, hw_ids = ocr_filter_service.split_printed_handwriting(
+                ocr_lines,
+                img_height,
+                answer_zone_ratio=settings.OCR_ANSWER_ZONE_RATIO,
+                enabled=settings.OCR_FILTER_HANDWRITING,
+            )
+            printed_text = ocr_filter_service.text_from_indices(ocr_lines, printed_ids)
+            if not printed_text:
+                printed_text = ocr_text
+            wq.ocr_raw_text = printed_text or None
             if not ocr_text:
+                wq.status = WrongQuestionStatus.failed
+                wq.error_message = "OCR 未识别到文字，请拍摄更清晰、光线充足的题目照片"
+                db.commit()
+                return
+            wq.status = WrongQuestionStatus.ocr_done
+            db.commit()
+        except FuturesTimeout:
+            wq.status = WrongQuestionStatus.failed
+            wq.error_message = (
+                f"OCR 识别超时（>{settings.OCR_TIMEOUT_SECONDS}秒），请点「重新识别标注」重试"
+            )
+            db.commit()
+            return
+        except Exception as exc:
+            wq.status = WrongQuestionStatus.failed
+            msg = _short_error(exc, "OCR 识别失败：")
+            if "libGL" in str(exc):
+                msg += " 请在服务器执行: sudo bash deploy/install-ocr-deps.sh && systemctl restart grade-archive"
+            elif ocr_url:
+                if "OCR 服务" not in msg:
+                    msg += " 诊断: bash deploy/ocr-screen.sh status && bash deploy/ocr-worker/test-ocr.sh"
+            wq.error_message = msg
+            db.commit()
             return
 
-        subject_name = wq.subject.name if wq.subject else "综合"
-        school_level = wq.student.school_level if wq.student else None
         import asyncio
 
         loop = asyncio.new_event_loop()
         asyncio.set_event_loop(loop)
         try:
-            question_text = loop.run_until_complete(
+            loop.run_until_complete(
-                ollama_service.format_question(subject_name, ocr_text, school_level)
+                _run_ai_pipeline(
+                    wq,
+                    db,
+                    ocr_lines,
+                    printed_text,
+                    hw_indices=hw_ids,
                 )
-            solution_text = loop.run_until_complete(
-                ollama_service.generate_solution(subject_name, question_text, school_level)
             )
-            wq.question_text = question_text
-            wq.solution_text = solution_text
-            wq.status = WrongQuestionStatus.solved
             db.commit()
-        except Exception:
+        except Exception as exc:
-            wq.status = WrongQuestionStatus.ocr_done
+            wq.status = WrongQuestionStatus.failed
+            detail = _short_error(exc, "AI 处理失败：")
+            if "Timeout" in type(exc).__name__ or "timeout" in str(exc).lower():
+                detail = "AI 处理超时，请检查 Ollama/OpenAI 是否可用后重试"
+            wq.error_message = detail
             db.commit()
         finally:
             loop.close()
+    except Exception as exc:
+        if wq is not None:
+            wq.status = WrongQuestionStatus.failed
+            wq.error_message = _short_error(exc, "处理失败：")
+            db.commit()
     finally:
         db.close()
 
@@ -88,6 +247,7 @@ def _process_wrong_question(question_id: uuid.UUID):
 def list_wrong_questions(
     student_id: uuid.UUID,
     subject_id: int | None = Query(None),
+    category: WrongQuestionCategoryEnum | None = Query(None),
     q: str | None = Query(None),
     db: Session = Depends(get_db),
     current_user: User = Depends(get_current_user),
@@ -100,6 +260,8 @@ def list_wrong_questions(
     )
     if subject_id is not None:
         query = query.filter(WrongQuestion.subject_id == subject_id)
+    if category is not None:
+        query = query.filter(WrongQuestion.category == category.value)
     if q:
         pattern = f"%{q}%"
         query = query.filter(
@@ -108,6 +270,8 @@ def list_wrong_questions(
             | (WrongQuestion.ocr_raw_text.ilike(pattern))
         )
     items = query.order_by(WrongQuestion.created_at.desc()).all()
+    for w in items:
+        _expire_stale_processing(w, db)
     return [_wq_to_out(w) for w in items]
 
 
@@ -121,6 +285,7 @@ async def upload_wrong_question(
     background_tasks: BackgroundTasks,
     subject_id: int = Form(...),
     file: UploadFile = File(...),
+    category: WrongQuestionCategoryEnum = Form(WrongQuestionCategoryEnum.regular),
     db: Session = Depends(get_db),
     current_user: User = Depends(get_current_user),
 ):
@@ -128,6 +293,8 @@ async def upload_wrong_question(
     subject = db.get(Subject, subject_id)
     if subject is None:
         raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="科目不存在")
+    if category == WrongQuestionCategoryEnum.olympiad and subject.name != "数学":
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="奥数区仅支持数学科目")
 
     content = await file.read()
     if len(content) > settings.MAX_UPLOAD_SIZE:
@@ -137,6 +304,7 @@ async def upload_wrong_question(
         student_id=student_id,
         subject_id=subject_id,
         image_path="",
+        category=WrongQuestionCategory(category.value),
         status=WrongQuestionStatus.pending,
     )
     db.add(wq)
@@ -173,6 +341,7 @@ def get_wrong_question(
     )
     if wq is None or wq.student.user_id != current_user.id:
         raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="错题不存在")
+    _expire_stale_processing(wq, db)
     return _wq_to_out(wq)
 
 
@@ -200,6 +369,8 @@ def update_wrong_question(
         wq.question_text = data.question_text
     if data.solution_text is not None:
         wq.solution_text = data.solution_text
+    if data.solution_approach is not None:
+        wq.solution_approach = data.solution_approach
 
     db.commit()
     db.refresh(wq)
@@ -222,10 +393,16 @@ def delete_wrong_question(
         raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="错题不存在")
 
     image_full = Path(settings.UPLOAD_DIR) / wq.image_path
+    ann_full = Path(settings.UPLOAD_DIR) / wq.annotated_image_path if wq.annotated_image_path else None
+    crop_full = Path(settings.UPLOAD_DIR) / wq.cropped_image_path if wq.cropped_image_path else None
     db.delete(wq)
     db.commit()
     if image_full.exists():
         image_full.unlink()
+    if ann_full and ann_full.exists():
+        ann_full.unlink()
+    if crop_full and crop_full.exists():
+        crop_full.unlink()
 
 
 @router.post("/wrong-questions/{question_id}/retry-ocr", response_model=WrongQuestionOut)
@@ -245,6 +422,8 @@ def retry_ocr(
         raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="错题不存在")
 
     wq.status = WrongQuestionStatus.pending
+    wq.error_message = None
+    wq.cropped_image_path = None
     db.commit()
     background_tasks.add_task(_process_wrong_question, wq.id)
     return _wq_to_out(wq)
@@ -270,21 +449,30 @@ async def regenerate_solution(
 
     subject_name = wq.subject.name if wq.subject else "综合"
     school_level = wq.student.school_level if wq.student else None
+    olympiad = wq.category == WrongQuestionCategory.olympiad
     question_text = wq.question_text or wq.ocr_raw_text or ""
+    ai_cfg = llm_service.load_ai_config(db)
 
     try:
         if not wq.question_text and wq.ocr_raw_text:
-            wq.question_text = await ollama_service.format_question(
+            wq.question_text = await llm_service.format_question(
-                subject_name, wq.ocr_raw_text, school_level
+                ai_cfg, subject_name, wq.ocr_raw_text, school_level
             )
             question_text = wq.question_text
-        wq.solution_text = await ollama_service.generate_solution(
+        solution_full = await llm_service.generate_solution(
-            subject_name, question_text, school_level
+            ai_cfg,
+            subject_name,
+            question_text,
+            school_level,
+            olympiad=olympiad,
         )
+        approach, solution_body = annotation_service.split_solution_sections(solution_full)
+        wq.solution_approach = approach
+        wq.solution_text = solution_body if approach else solution_full
         wq.status = WrongQuestionStatus.solved
     except Exception as exc:
         raise HTTPException(
-            status_code=status.HTTP_502_BAD_GATEWAY, detail=f"Ollama 调用失败: {exc}"
+            status_code=status.HTTP_502_BAD_GATEWAY, detail=f"AI 调用失败: {exc}"
         ) from exc
 
     db.commit()
@@ -311,3 +499,49 @@ def get_wrong_question_image(
     if not image_full.exists():
         raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="图片不存在")
     return FileResponse(image_full)
+
+
+@router.get("/wrong-questions/{question_id}/annotated-image")
+def get_wrong_question_annotated_image(
+    question_id: uuid.UUID,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+):
+    wq = (
+        db.query(WrongQuestion)
+        .options(joinedload(WrongQuestion.student))
+        .filter(WrongQuestion.id == question_id)
+        .first()
+    )
+    if wq is None or wq.student.user_id != current_user.id:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="错题不存在")
+    if not wq.annotated_image_path:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="标注图尚未生成")
+
+    image_full = Path(settings.UPLOAD_DIR) / wq.annotated_image_path
+    if not image_full.exists():
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="标注图不存在")
+    return FileResponse(image_full)
+
+
+@router.get("/wrong-questions/{question_id}/cropped-image")
+def get_wrong_question_cropped_image(
+    question_id: uuid.UUID,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user),
+):
+    wq = (
+        db.query(WrongQuestion)
+        .options(joinedload(WrongQuestion.student))
+        .filter(WrongQuestion.id == question_id)
+        .first()
+    )
+    if wq is None or wq.student.user_id != current_user.id:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="错题不存在")
+    if not wq.cropped_image_path:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="裁剪图尚未生成")
+
+    image_full = Path(settings.UPLOAD_DIR) / wq.cropped_image_path
+    if not image_full.exists():
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="裁剪图不存在")
+    return FileResponse(image_full)

backend/app/schemas/__init__.py

@@ -11,6 +11,16 @@ class ExamTypeEnum(str, Enum):
     final = "final"
 
 
+class ReviewStatusEnum(str, Enum):
+    careless = "careless"
+    unknown = "unknown"
+    nervous = "nervous"
+    normal = "normal"
+
+
+REVIEW_STATUS_VALUES = {s.value for s in ReviewStatusEnum}
+
+
 class WrongQuestionStatusEnum(str, Enum):
     pending = "pending"
     ocr_done = "ocr_done"
@@ -18,6 +28,16 @@ class WrongQuestionStatusEnum(str, Enum):
     failed = "failed"
 
 
+class WrongQuestionCategoryEnum(str, Enum):
+    regular = "regular"
+    olympiad = "olympiad"
+
+
+class AIProviderEnum(str, Enum):
+    ollama = "ollama"
+    openai = "openai"
+
+
 class SchoolLevelEnum(str, Enum):
     junior_high = "junior_high"
     senior_high = "senior_high"
@@ -46,6 +66,66 @@ class RefreshRequest(BaseModel):
 class UserOut(BaseModel):
     id: UUID
     username: str
+    is_superuser: bool = False
+    created_at: datetime
+
+    model_config = {"from_attributes": True}
+
+
+class PublicSettingsOut(BaseModel):
+    registration_enabled: bool
+
+
+class AppFeaturesOut(BaseModel):
+    ai_review_enabled: bool
+
+
+class SystemSettingsOut(BaseModel):
+    registration_enabled: bool
+    ai_review_enabled: bool = True
+    ai_provider: AIProviderEnum
+    ollama_base_url: str | None = None
+    ollama_model: str | None = None
+    openai_base_url: str | None = None
+    openai_model: str | None = None
+    openai_api_key_set: bool = False
+    ocr_service_url: str | None = None
+    updated_at: datetime
+
+    model_config = {"from_attributes": True}
+
+
+class SystemSettingsUpdate(BaseModel):
+    registration_enabled: bool | None = None
+    ai_review_enabled: bool | None = None
+    ai_provider: AIProviderEnum | None = None
+    ollama_base_url: str | None = None
+    ollama_model: str | None = None
+    openai_base_url: str | None = None
+    openai_model: str | None = None
+    openai_api_key: str | None = None
+    ocr_service_url: str | None = None
+
+
+class AdminProfileUpdate(BaseModel):
+    username: str | None = Field(default=None, min_length=3, max_length=64)
+    current_password: str | None = None
+    password: str | None = Field(default=None, min_length=6, max_length=128)
+
+
+class AdminUserCreate(BaseModel):
+    username: str = Field(min_length=3, max_length=64)
+    password: str = Field(min_length=6, max_length=128)
+
+
+class AdminUserPasswordUpdate(BaseModel):
+    password: str = Field(min_length=6, max_length=128)
+
+
+class AdminUserOut(BaseModel):
+    id: UUID
+    username: str
+    is_superuser: bool
     created_at: datetime
 
     model_config = {"from_attributes": True}
@@ -56,6 +136,7 @@ class StudentCreate(BaseModel):
     school_level: SchoolLevelEnum = SchoolLevelEnum.junior_high
     grade: str | None = None
     class_name: str | None = None
+    school_name: str | None = Field(default=None, max_length=128)
 
 
 class StudentUpdate(BaseModel):
@@ -63,6 +144,7 @@ class StudentUpdate(BaseModel):
     school_level: SchoolLevelEnum | None = None
     grade: str | None = None
     class_name: str | None = None
+    school_name: str | None = Field(default=None, max_length=128)
 
 
 class StudentOut(BaseModel):
@@ -71,10 +153,25 @@ class StudentOut(BaseModel):
     school_level: SchoolLevelEnum
     grade: str | None
     class_name: str | None
+    school_name: str | None
+    has_avatar: bool = False
     created_at: datetime
 
     model_config = {"from_attributes": True}
 
+    @classmethod
+    def from_student(cls, student) -> "StudentOut":
+        return cls(
+            id=student.id,
+            name=student.name,
+            school_level=SchoolLevelEnum(student.school_level.value),
+            grade=student.grade,
+            class_name=student.class_name,
+            school_name=student.school_name,
+            has_avatar=bool(getattr(student, "avatar_path", None)),
+            created_at=student.created_at,
+        )
+
 
 class SubjectOut(BaseModel):
     id: int
@@ -87,6 +184,7 @@ class ScoreInput(BaseModel):
     subject_id: int
     total_score: float
     obtained_score: float
+    review_statuses: list[ReviewStatusEnum] = []
 
     @field_validator("total_score")
     @classmethod
@@ -105,6 +203,18 @@ class ScoreInput(BaseModel):
             raise ValueError("得分不能为负")
         return v
 
+    @field_validator("review_statuses")
+    @classmethod
+    def validate_review_statuses(cls, v: list[ReviewStatusEnum]) -> list[ReviewStatusEnum]:
+        seen: set[str] = set()
+        unique: list[ReviewStatusEnum] = []
+        for item in v:
+            key = item.value if isinstance(item, ReviewStatusEnum) else str(item)
+            if key not in seen:
+                seen.add(key)
+                unique.append(item if isinstance(item, ReviewStatusEnum) else ReviewStatusEnum(key))
+        return unique
+
 
 class ScoreOut(BaseModel):
     id: UUID
@@ -113,6 +223,7 @@ class ScoreOut(BaseModel):
     total_score: float
     obtained_score: float
     ratio: float
+    review_statuses: list[ReviewStatusEnum] = []
 
     model_config = {"from_attributes": True}
 
@@ -131,6 +242,23 @@ class ExamUpdate(BaseModel):
     scores: list[ScoreInput] | None = None
 
 
+class ReviewScoreInput(BaseModel):
+    subject_id: int
+    review_statuses: list[ReviewStatusEnum] = []
+
+
+class ExamReviewUpdate(BaseModel):
+    reviews: list[ReviewScoreInput] = []
+
+
+class ReviewInsightRequest(BaseModel):
+    subject_name: str = Field(..., min_length=1, max_length=32)
+
+
+class ReviewInsightResponse(BaseModel):
+    insight: str
+
+
 class ExamOut(BaseModel):
     id: UUID
     exam_type: ExamTypeEnum
@@ -167,10 +295,16 @@ class WrongQuestionOut(BaseModel):
     student_id: UUID
     subject_id: int
     subject_name: str | None = None
+    category: WrongQuestionCategoryEnum
     image_path: str
     ocr_raw_text: str | None
     question_text: str | None
+    solution_approach: str | None = None
     solution_text: str | None
+    mark_regions: list[dict] | None = None
+    has_annotated_image: bool = False
+    has_cropped_image: bool = False
+    error_message: str | None = None
     status: WrongQuestionStatusEnum
     created_at: datetime
 
@@ -179,5 +313,48 @@ class WrongQuestionOut(BaseModel):
 
 class WrongQuestionUpdate(BaseModel):
     question_text: str | None = None
+    solution_approach: str | None = None
     solution_text: str | None = None
     subject_id: int | None = None
+
+
+class CompositionStatusEnum(str, Enum):
+    pending = "pending"
+    generating = "generating"
+    done = "done"
+    failed = "failed"
+
+
+class CompositionInputModeEnum(str, Enum):
+    manual = "manual"
+    ocr = "ocr"
+
+
+class CompositionCreate(BaseModel):
+    topic: str = Field(..., min_length=1, max_length=4000)
+    input_mode: CompositionInputModeEnum = CompositionInputModeEnum.manual
+
+
+class CompositionOcrOut(BaseModel):
+    text: str
+
+
+class CompositionOut(BaseModel):
+    id: UUID
+    student_id: UUID
+    topic: str
+    input_mode: CompositionInputModeEnum
+    writing_plan: str | None = None
+    sample_essay: str | None = None
+    error_message: str | None = None
+    status: CompositionStatusEnum
+    created_at: datetime
+    updated_at: datetime
+
+    model_config = {"from_attributes": True}
+
+
+class BackupInfoOut(BaseModel):
+    filename: str
+    size_bytes: int
+    created_at: datetime

backend/app/services/annotation.py

@@ -0,0 +1,157 @@
+import json
+import re
+from pathlib import Path
+
+from PIL import Image, ImageDraw, ImageFont
+
+from app.core.config import settings
+
+
+def _parse_llm_json(text: str) -> dict | None:
+    text = text.strip()
+    match = re.search(r"\{[\s\S]*\}", text)
+    if not match:
+        return None
+    try:
+        return json.loads(match.group())
+    except json.JSONDecodeError:
+        return None
+
+
+def heuristic_wrong_line_ids(lines: list[dict]) -> list[int]:
+    wrong: list[int] = []
+    for i, line in enumerate(lines):
+        t = line.get("text", "")
+        if any(c in t for c in ("×", "✗", "❌", "错")):
+            wrong.append(i)
+            continue
+        if re.search(r"[×xX]\s*$", t.strip()):
+            wrong.append(i)
+    if wrong:
+        return wrong
+    # 单题照片：标注最后几行作答区域
+    if len(lines) == 1:
+        return [0]
+    if len(lines) <= 4:
+        return list(range(max(0, len(lines) - 2), len(lines)))
+    return list(range(len(lines) - 2, len(lines)))
+
+
+def parse_wrong_line_ids(llm_response: str, lines: list[dict]) -> list[int]:
+    data = _parse_llm_json(llm_response)
+    if data and isinstance(data.get("wrong_line_ids"), list):
+        ids = [int(x) for x in data["wrong_line_ids"] if isinstance(x, (int, float, str))]
+        ids = [i for i in ids if 0 <= i < len(lines)]
+        if ids:
+            return ids
+    return heuristic_wrong_line_ids(lines)
+
+
+def regions_from_lines(lines: list[dict], wrong_ids: list[int]) -> list[dict]:
+    regions = []
+    for i in wrong_ids:
+        if i >= len(lines):
+            continue
+        line = lines[i]
+        bbox = line.get("bbox") or [0, 0, 0, 0]
+        regions.append(
+            {
+                "line_id": i,
+                "text": line.get("text", ""),
+                "bbox": bbox,
+                "type": "wrong",
+                "label": "错",
+            }
+        )
+    return regions
+
+
+def draw_annotated_image(
+    src_path: str,
+    lines: list[dict],
+    wrong_ids: list[int],
+    dest_rel_path: str,
+) -> str:
+    img = Image.open(src_path).convert("RGBA")
+    overlay = Image.new("RGBA", img.size, (255, 255, 255, 0))
+    draw = ImageDraw.Draw(overlay)
+
+    try:
+        font = ImageFont.truetype("DejaVuSans-Bold.ttf", max(14, img.size[0] // 40))
+    except OSError:
+        font = ImageFont.load_default()
+
+    for i in wrong_ids:
+        if i >= len(lines):
+            continue
+        bbox = lines[i].get("bbox") or [0, 0, 0, 0]
+        x1, y1, x2, y2 = bbox
+        pad = 6
+        box = [x1 - pad, y1 - pad, x2 + pad, y2 + pad]
+        draw.rounded_rectangle(box, radius=4, fill=(255, 59, 48, 55), outline=(255, 59, 48, 220), width=3)
+        draw.text((x1, max(0, y1 - 18)), "×", fill=(255, 59, 48, 255), font=font)
+
+    combined = Image.alpha_composite(img, overlay).convert("RGB")
+    full_path = Path(settings.UPLOAD_DIR) / dest_rel_path
+    full_path.parent.mkdir(parents=True, exist_ok=True)
+    combined.save(full_path, format="JPEG", quality=92)
+    return dest_rel_path
+
+
+def split_solution_sections(text: str) -> tuple[str | None, str]:
+    if "## 解题思路" not in text:
+        return None, text
+    parts = re.split(r"\n##\s*", text, maxsplit=1)
+    if len(parts) < 2:
+        return None, text
+    approach = parts[0].replace("## 解题思路", "").strip()
+    rest = "## " + parts[1]
+    return approach or None, rest.strip()
+
+
+def union_bbox(bboxes: list[list[float]], img_w: int, img_h: int, padding_ratio: float = 0.06) -> list[int]:
+    if not bboxes:
+        return [0, 0, img_w, img_h]
+    x1 = min(b[0] for b in bboxes)
+    y1 = min(b[1] for b in bboxes)
+    x2 = max(b[2] for b in bboxes)
+    y2 = max(b[3] for b in bboxes)
+    pad_x = max(8, (x2 - x1) * padding_ratio)
+    pad_y = max(8, (y2 - y1) * padding_ratio)
+    return [
+        int(max(0, x1 - pad_x)),
+        int(max(0, y1 - pad_y)),
+        int(min(img_w, x2 + pad_x)),
+        int(min(img_h, y2 + pad_y)),
+    ]
+
+
+def cropped_rel_path(original_rel: str) -> str:
+    p = Path(original_rel)
+    return str(p.parent / f"{p.stem}_crop.jpg")
+
+
+def crop_wrong_region(
+    src_path: str,
+    lines: list[dict],
+    wrong_ids: list[int],
+    dest_rel_path: str,
+    img_width: int,
+    img_height: int,
+) -> str | None:
+    if not wrong_ids:
+        return None
+    bboxes = [lines[i].get("bbox") or [0, 0, 0, 0] for i in wrong_ids if i < len(lines)]
+    if not bboxes:
+        return None
+    box = union_bbox(bboxes, img_width, img_height, padding_ratio=0.12)
+    x1, y1, x2, y2 = box
+    if x2 <= x1 or y2 <= y1:
+        return None
+
+    img = Image.open(src_path).convert("RGB")
+    cropped = img.crop((x1, y1, x2, y2))
+    full_path = Path(settings.UPLOAD_DIR) / dest_rel_path
+    full_path.parent.mkdir(parents=True, exist_ok=True)
+    cropped.save(full_path, format="JPEG", quality=92)
+    return dest_rel_path

backend/app/services/backup.py

@@ -0,0 +1,166 @@
+import json
+import logging
+import os
+import re
+import shutil
+import subprocess
+import tarfile
+import tempfile
+from datetime import datetime, timezone
+from pathlib import Path
+from urllib.parse import urlparse
+
+from app.core.config import settings
+
+logger = logging.getLogger(__name__)
+
+BACKUP_NAME_PATTERN = re.compile(r"^grade-archive_\d{8}_\d{6}\.tar\.gz$")
+APP_VERSION = "1.0.0"
+
+
+def backup_dir() -> Path:
+    path = Path(settings.BACKUP_DIR)
+    path.mkdir(parents=True, exist_ok=True)
+    return path
+
+
+def _pg_params() -> dict[str, str]:
+    parsed = urlparse(settings.DATABASE_URL)
+    return {
+        "host": parsed.hostname or "127.0.0.1",
+        "port": str(parsed.port or 5432),
+        "user": parsed.username or "postgres",
+        "password": parsed.password or "",
+        "dbname": parsed.path.lstrip("/") or "student_archive",
+    }
+
+
+def _dump_database(dest: Path) -> None:
+    pg = _pg_params()
+    env = {**os.environ, "PGPASSWORD": pg["password"]}
+    cmd = [
+        "pg_dump",
+        "-h",
+        pg["host"],
+        "-p",
+        pg["port"],
+        "-U",
+        pg["user"],
+        "-d",
+        pg["dbname"],
+        "--no-owner",
+        "--no-privileges",
+        "--clean",
+        "--if-exists",
+    ]
+    with dest.open("w", encoding="utf-8") as out:
+        subprocess.run(cmd, check=True, env=env, stdout=out)
+
+
+def create_backup() -> Path:
+    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+    archive_path = backup_dir() / f"grade-archive_{timestamp}.tar.gz"
+    work = Path(tempfile.mkdtemp(prefix="grade-archive-backup-"))
+    try:
+        db_file = work / "database.sql"
+        _dump_database(db_file)
+        manifest = {
+            "app": "secondary-school-grade-archive",
+            "version": APP_VERSION,
+            "created_at": datetime.now(timezone.utc).isoformat(),
+            "database": pg["dbname"] if (pg := _pg_params()) else "student_archive",
+        }
+        manifest_file = work / "manifest.json"
+        manifest_file.write_text(json.dumps(manifest, ensure_ascii=False, indent=2), encoding="utf-8")
+
+        uploads_dir = Path(settings.UPLOAD_DIR)
+        with tarfile.open(archive_path, "w:gz") as tar:
+            tar.add(db_file, arcname="database.sql")
+            tar.add(manifest_file, arcname="manifest.json")
+            if uploads_dir.is_dir():
+                tar.add(uploads_dir, arcname="uploads")
+
+        cleanup_old_backups()
+        logger.info("Backup created: %s", archive_path)
+        return archive_path
+    finally:
+        shutil.rmtree(work, ignore_errors=True)
+
+
+def cleanup_old_backups() -> None:
+    if settings.BACKUP_RETENTION_DAYS <= 0:
+        return
+    cutoff = datetime.now().timestamp() - settings.BACKUP_RETENTION_DAYS * 86400
+    for item in backup_dir().glob("grade-archive_*.tar.gz"):
+        if item.stat().st_mtime < cutoff:
+            item.unlink(missing_ok=True)
+
+
+def list_backups() -> list[dict]:
+    items: list[dict] = []
+    for path in sorted(backup_dir().glob("grade-archive_*.tar.gz"), reverse=True):
+        stat = path.stat()
+        items.append(
+            {
+                "filename": path.name,
+                "size_bytes": stat.st_size,
+                "created_at": datetime.fromtimestamp(stat.st_mtime, tz=timezone.utc),
+            }
+        )
+    return items
+
+
+def resolve_backup_file(filename: str) -> Path:
+    if not BACKUP_NAME_PATTERN.match(filename):
+        raise ValueError("无效的备份文件名")
+    path = backup_dir() / filename
+    if not path.is_file():
+        raise FileNotFoundError(filename)
+    return path
+
+
+def restore_backup(archive_path: Path) -> None:
+    work = Path(tempfile.mkdtemp(prefix="grade-archive-restore-"))
+    try:
+        with tarfile.open(archive_path, "r:gz") as tar:
+            tar.extractall(work)
+
+        db_file = work / "database.sql"
+        if not db_file.is_file():
+            raise ValueError("备份包缺少 database.sql")
+
+        pg = _pg_params()
+        env = {**os.environ, "PGPASSWORD": pg["password"]}
+
+        subprocess.run(
+            [
+                "psql",
+                "-h",
+                pg["host"],
+                "-p",
+                pg["port"],
+                "-U",
+                pg["user"],
+                "-d",
+                pg["dbname"],
+                "-v",
+                "ON_ERROR_STOP=1",
+                "-f",
+                str(db_file),
+            ],
+            check=True,
+            env=env,
+        )
+
+        uploads_src = work / "uploads"
+        uploads_dest = Path(settings.UPLOAD_DIR)
+        if uploads_src.is_dir():
+            if uploads_dest.exists():
+                shutil.rmtree(uploads_dest)
+            shutil.copytree(uploads_src, uploads_dest)
+        else:
+            uploads_dest.mkdir(parents=True, exist_ok=True)
+
+        logger.info("Backup restored from %s", archive_path)
+    finally:
+        shutil.rmtree(work, ignore_errors=True)

backend/app/services/llm.py

@@ -0,0 +1,386 @@
+import httpx
+from sqlalchemy.orm import Session
+
+from app.core.config import settings as app_settings
+from app.models.user import SchoolLevel, SystemSettings
+from app.services.school_level import school_level_label
+from app.services.url_sanitize import sanitize_http_url, sanitize_model_name
+
+CURRICULUM_JUNIOR = """初中课程标准：代数、几何（全等/相似/勾股）、一次函数与简单二次函数、基础概率统计。
+严禁使用：高中导数、向量、解析几何、排列组合进阶、复数、微积分、大学线性代数等。"""
+
+CURRICULUM_SENIOR = """高中课程标准：课内函数、三角、向量、解析几何、概率统计、导数（课内范围）等。
+严禁使用：大学数学分析、抽象代数、高等几何、超出课内的竞赛高阶技巧。"""
+
+CURRICULUM_JUNIOR_OLYMPIAD = """初中奥数培优范围：整数/整除、因数分解、简单数论、代数恒等变形、几何辅助线与全等相似、简单组合计数。
+严禁使用：高中及以上方法（导数、向量、解析几何、微积分、复数运算等）。"""
+
+CURRICULUM_SENIOR_OLYMPIAD = """高中奥数/竞赛入门范围：课内知识+常规竞赛技巧（不等式、构造、归纳、简单数论等）。
+严禁使用：大学数学、超出高中奥数培优体系的 IMO 高阶理论。"""
+
+
+def _curriculum_block(level: SchoolLevel | str | None, olympiad: bool) -> str:
+    label = school_level_label(level)
+    is_senior = level == SchoolLevel.senior_high or level == "senior_high"
+    if olympiad:
+        return CURRICULUM_SENIOR_OLYMPIAD if is_senior else CURRICULUM_JUNIOR_OLYMPIAD
+    return CURRICULUM_SENIOR if is_senior else CURRICULUM_JUNIOR
+
+
+QUESTION_PROMPT = """你是一位{stage}老师。以下是从试卷 OCR 识别出的文字，可能含有噪声。
+科目：{subject}
+请整理出清晰的题目内容（保留题号、选项、公式），只输出题目正文，不要解释。
+
+OCR 原文：
+{ocr_text}
+"""
+
+SOLUTION_PROMPT = """你是一位耐心的{stage}{subject}老师。请像「作业帮」一样，先讲清楚解题思路，再给出完整解答。
+
+【学段要求 — 严禁超纲】
+{curriculum}
+
+题目：
+{question_text}
+
+请严格按以下 Markdown 结构输出：
+
+## 解题思路
+（2-5 句话：这题考什么、从哪里入手、关键一步是什么，让学生先懂「怎么想」）
+
+## 详细解答
+（分步骤完整推导，每步说明依据）
+
+## 易错点
+（指出常见错误及正确做法）
+
+严禁使用超纲方法；若原题超纲，请给出{stage}课内可理解的解法。
+"""
+
+OLYMPIAD_SOLUTION_PROMPT = """你是一位{stage}奥数教练。请像优秀辅导老师一样，先讲解题思路，再完整解答。
+
+【奥数学段要求 — 严禁超纲】
+{curriculum}
+
+题目：
+{question_text}
+
+请严格按以下 Markdown 结构输出：
+
+## 解题思路
+（点明题型、突破口、{stage}奥数常用技巧）
+
+## 详细解答
+（完整步骤）
+
+## 关键技巧
+（总结，仅限{stage}奥数范围）
+
+严禁超纲；过难题给出{stage}可接受的培优思路。
+"""
+
+ERROR_DETECT_PROMPT = """你是{stage}{subject}老师。以下是试卷/作业 OCR 识别结果，每行前有编号。
+请找出「学生答错的部分」：错误答案、被打叉的作答、明显不正确的计算结果等。
+
+{numbered_lines}
+
+只输出 JSON，不要其他文字：
+{{"wrong_line_ids": [行编号整数列表]}}
+若整张图就是一道错题，请标注含有错误答案或作答的行；找不到则标注最后作答行。
+"""
+
+REVIEW_INSIGHT_PROMPT = """你是一位{stage}{subject}学习顾问。请仅根据下方「复盘数据」做分析，不得编造未出现的考试或状态。
+
+【学段】{stage}
+【科目】{subject}（所有建议必须贴合本科目，禁止套用其他科目的说法）
+
+【复盘数据】
+{review_records}
+
+【状态含义（结合本科目理解）】
+- 粗心：{careless_hint}
+- 不会：该科知识点/题型尚未掌握
+- 紧张：心态影响，发挥低于平时水平
+- 正常发挥：状态稳定
+
+【科目建议方向】
+{subject_hints}
+
+【必须遵守】
+1. 解读时必须写清具体考试日期（如 2026-06-21），按时间从早到晚分析，不得把「第1次」说成最近一场
+2. 得分率 = 得分÷总分；95% 以上才可称「接近满分」，85% 左右应如实描述为「良好但仍有失分空间」，禁止夸大
+3. 改进建议必须针对 {subject}，禁止出现与本科目无关的表述（如英语科禁止写「计算验算」）
+4. 只分析数据中列出的复盘状态，不要臆测未勾选的原因
+
+请用 Markdown 输出：
+
+## 情况解读
+（2-4 句：按时间顺序说明每次考试得分率、失分与复盘状态的关系，以及是否有改善或反复）
+
+## 改进建议
+（3-5 条，针对出现最多的问题状态，具体可操作，仅限 {stage}{subject} 范围）
+
+## 近期重点
+（1-2 条本周可落实的小目标）
+
+语气务实，不要空泛鸡汤。
+"""
+
+SUBJECT_REVIEW_HINTS: dict[str, dict[str, str]] = {
+    "语文": {
+        "careless": "看错题干、漏读要求、作文偏题或漏写要点",
+        "hints": "阅读审题、文言文/语言运用、作文结构与素材积累",
+    },
+    "数学": {
+        "careless": "审题不清、计算或抄错、步骤跳步",
+        "hints": "错题归类、计算验算、典型题型归纳与限时练习",
+    },
+    "英语": {
+        "careless": "看错词义/时态、漏读题干、拼写与语法笔误",
+        "hints": "词汇语法、阅读完形、听力与写作模板，禁止建议计算类训练",
+    },
+    "物理": {
+        "careless": "审题漏条件、公式代错、单位换算失误",
+        "hints": "概念理解、建模分析、实验题与计算规范",
+    },
+    "化学": {
+        "careless": "方程式配平/条件遗漏、计算失误",
+        "hints": "方程式、物质性质、实验与推断题",
+    },
+    "生物": {
+        "careless": "概念混淆、漏答得分点",
+        "hints": "教材概念、图表分析、实验设计表述",
+    },
+    "历史": {
+        "careless": "材料题漏读、时间/人物混淆",
+        "hints": "时间线、材料分析、论述题答题模板",
+    },
+    "地理": {
+        "careless": "读图漏信息、术语使用不当",
+        "hints": "地图判读、区域分析、综合题答题条理",
+    },
+    "政治": {
+        "careless": "漏答采分点、概念表述不准",
+        "hints": "时政结合、材料分析、观点表述规范",
+    },
+}
+
+
+def _subject_review_hints(subject: str) -> tuple[str, str]:
+    block = SUBJECT_REVIEW_HINTS.get(subject)
+    if block:
+        return block["careless"], block["hints"]
+    return "审题或作答细节失误", f"针对{subject}常见失分点制定练习与错题巩固"
+
+class AIConfig:
+    def __init__(
+        self,
+        provider: str,
+        ollama_base_url: str,
+        ollama_model: str,
+        openai_base_url: str,
+        openai_model: str,
+        openai_api_key: str | None,
+    ):
+        self.provider = provider
+        self.ollama_base_url = ollama_base_url
+        self.ollama_model = ollama_model
+        self.openai_base_url = openai_base_url
+        self.openai_model = openai_model
+        self.openai_api_key = openai_api_key
+
+
+def load_ai_config(db: Session) -> AIConfig:
+    row = db.get(SystemSettings, 1)
+    if row is None:
+        return AIConfig(
+            provider="ollama",
+            ollama_base_url=sanitize_http_url(app_settings.OLLAMA_BASE_URL),
+            ollama_model=sanitize_model_name(app_settings.OLLAMA_MODEL),
+            openai_base_url=sanitize_http_url(app_settings.OPENAI_BASE_URL),
+            openai_model=sanitize_model_name(app_settings.OPENAI_MODEL),
+            openai_api_key=None,
+        )
+    return AIConfig(
+        provider=row.ai_provider or "ollama",
+        ollama_base_url=sanitize_http_url(row.ollama_base_url or app_settings.OLLAMA_BASE_URL),
+        ollama_model=sanitize_model_name(row.ollama_model or app_settings.OLLAMA_MODEL),
+        openai_base_url=sanitize_http_url(row.openai_base_url or app_settings.OPENAI_BASE_URL),
+        openai_model=sanitize_model_name(row.openai_model or app_settings.OPENAI_MODEL),
+        openai_api_key=row.openai_api_key,
+    )
+
+
+async def _ollama_generate(prompt: str, cfg: AIConfig, *, temperature: float = 0.3) -> str:
+    url = f"{cfg.ollama_base_url.rstrip('/')}/api/generate"
+    payload = {
+        "model": cfg.ollama_model,
+        "prompt": prompt,
+        "stream": False,
+        "options": {"temperature": temperature},
+    }
+    async with httpx.AsyncClient(timeout=180.0) as client:
+        response = await client.post(url, json=payload)
+        response.raise_for_status()
+        return (response.json().get("response") or "").strip()
+
+
+async def _openai_generate(prompt: str, cfg: AIConfig, *, temperature: float = 0.3) -> str:
+    if not cfg.openai_api_key:
+        raise ValueError("未配置 OpenAI API Key")
+    url = f"{cfg.openai_base_url.rstrip('/')}/chat/completions"
+    headers = {"Authorization": f"Bearer {cfg.openai_api_key}"}
+    payload = {
+        "model": cfg.openai_model,
+        "messages": [{"role": "user", "content": prompt}],
+        "temperature": temperature,
+    }
+    async with httpx.AsyncClient(timeout=180.0) as client:
+        response = await client.post(url, json=payload, headers=headers)
+        response.raise_for_status()
+        data = response.json()
+        return (data["choices"][0]["message"]["content"] or "").strip()
+
+
+async def generate_text(prompt: str, cfg: AIConfig, *, temperature: float = 0.3) -> str:
+    if cfg.provider == "openai":
+        return await _openai_generate(prompt, cfg, temperature=temperature)
+    return await _ollama_generate(prompt, cfg, temperature=temperature)
+
+
+async def format_question(
+    cfg: AIConfig,
+    subject: str,
+    ocr_text: str,
+    school_level=None,
+) -> str:
+    stage = school_level_label(school_level)
+    prompt = QUESTION_PROMPT.format(stage=stage, subject=subject, ocr_text=ocr_text)
+    return await generate_text(prompt, cfg)
+
+
+async def generate_solution(
+    cfg: AIConfig,
+    subject: str,
+    question_text: str,
+    school_level=None,
+    *,
+    olympiad: bool = False,
+) -> str:
+    stage = school_level_label(school_level)
+    curriculum = _curriculum_block(school_level, olympiad)
+    template = OLYMPIAD_SOLUTION_PROMPT if olympiad else SOLUTION_PROMPT
+    prompt = template.format(
+        stage=stage,
+        subject=subject,
+        curriculum=curriculum,
+        question_text=question_text,
+    )
+    return await generate_text(prompt, cfg)
+
+
+async def detect_wrong_line_ids(
+    cfg: AIConfig,
+    subject: str,
+    ocr_lines: list[dict],
+    school_level=None,
+) -> str:
+    stage = school_level_label(school_level)
+    numbered = "\n".join(f"[{i}] {line.get('text', '')}" for i, line in enumerate(ocr_lines))
+    prompt = ERROR_DETECT_PROMPT.format(stage=stage, subject=subject, numbered_lines=numbered)
+    return await generate_text(prompt, cfg)
+
+
+async def generate_review_insight(
+    cfg: AIConfig,
+    subject: str,
+    review_records: str,
+    school_level=None,
+) -> str:
+    stage = school_level_label(school_level)
+    careless_hint, subject_hints = _subject_review_hints(subject)
+    prompt = REVIEW_INSIGHT_PROMPT.format(
+        stage=stage,
+        subject=subject,
+        review_records=review_records,
+        careless_hint=careless_hint,
+        subject_hints=subject_hints,
+    )
+    return await generate_text(prompt, cfg, temperature=0.2)
+
+
+CURRICULUM_CHINESE_JUNIOR = """初中作文：记叙文、写人记事、简单议论文为主，通常 600-800 字。
+语言平实，素材来自课内与日常生活，禁止成人化腔调与超纲典故堆砌。"""
+
+CURRICULUM_CHINESE_SENIOR = """高中作文：记叙、议论、材料作文为主，通常 800-1000 字。
+可适度展开论证，仍须符合课内要求，禁止大学论文式写法与超纲理论。"""
+
+COMPOSITION_PROMPT = """你是一位{stage}语文老师，正在辅导{grade_text}学生完成作文。
+
+【学段年级 — 严禁超纲】
+{curriculum}
+
+作文题目：
+{topic}
+
+请严格按以下 Markdown 结构输出（不要增加其他一级标题）：
+
+## 写作方案
+（审题、立意、结构提纲、段落安排、可用素材方向，分条列出，贴合{grade_text}水平）
+
+## 范文
+（完整作文一篇，字数与语言风格必须符合{grade_text}课内要求，禁止超纲）
+
+注意：范文必须是可直接参考的学生习作水准，不要写成评论或教案。
+"""
+
+
+def _chinese_curriculum(level, grade: str | None) -> str:
+    is_senior = level == SchoolLevel.senior_high or level == "senior_high"
+    return CURRICULUM_CHINESE_SENIOR if is_senior else CURRICULUM_CHINESE_JUNIOR
+
+
+def _grade_text(grade: str | None) -> str:
+    if grade and grade.strip():
+        return grade.strip()
+    return "该学段学生"
+
+
+def split_composition_sections(text: str) -> tuple[str, str]:
+    import re
+
+    text = text.strip()
+    if "## 范文" not in text:
+        return text.replace("## 写作方案", "").strip(), ""
+    parts = re.split(r"\n##\s*范文\s*\n", text, maxsplit=1)
+    plan = parts[0].replace("## 写作方案", "").strip()
+    essay = parts[1].strip() if len(parts) > 1 else ""
+    return plan, essay
+
+
+async def generate_composition(
+    cfg: AIConfig,
+    topic: str,
+    school_level=None,
+    grade: str | None = None,
+) -> tuple[str, str]:
+    stage = school_level_label(school_level)
+    grade_text = _grade_text(grade)
+    curriculum = _chinese_curriculum(school_level, grade)
+    prompt = COMPOSITION_PROMPT.format(
+        stage=stage,
+        grade_text=grade_text,
+        curriculum=curriculum,
+        topic=topic.strip(),
+    )
+    full = await generate_text(prompt, cfg, temperature=0.35)
+    return split_composition_sections(full)
+
+
+def composition_markdown(topic: str, writing_plan: str | None, sample_essay: str | None) -> str:
+    parts = [f"# 作文题目\n\n{topic.strip()}", ""]
+    if writing_plan:
+        parts.extend(["## 写作方案", "", writing_plan.strip(), ""])
+    if sample_essay:
+        parts.extend(["## 范文", "", sample_essay.strip(), ""])
+    return "\n".join(parts).strip() + "\n"

backend/app/services/migrate.py

@@ -1,12 +1,14 @@
 from sqlalchemy import inspect, text
 
+from app.core.config import settings
 from app.core.database import engine
 
 
 def run_migrations() -> None:
     """Apply lightweight schema updates for existing databases."""
     inspector = inspect(engine)
-    if "students" not in inspector.get_table_names():
+    tables = set(inspector.get_table_names())
+    if "students" not in tables:
         return
 
     columns = {col["name"] for col in inspector.get_columns("students")}
@@ -18,3 +20,95 @@ def run_migrations() -> None:
                     "NOT NULL DEFAULT 'junior_high'"
                 )
             )
+
+    if "users" in tables:
+        user_columns = {col["name"] for col in inspector.get_columns("users")}
+        if "is_superuser" not in user_columns:
+            with engine.begin() as conn:
+                conn.execute(
+                    text("ALTER TABLE users ADD COLUMN is_superuser BOOLEAN NOT NULL DEFAULT FALSE")
+                )
+                conn.execute(
+                    text(
+                        f"UPDATE users SET is_superuser = TRUE "
+                        f"WHERE username = '{settings.ADMIN_DEFAULT_USERNAME}'"
+                    )
+                )
+
+    if "wrong_questions" in tables:
+        wq_columns = {col["name"] for col in inspector.get_columns("wrong_questions")}
+        if "category" not in wq_columns:
+            with engine.begin() as conn:
+                conn.execute(
+                    text(
+                        "ALTER TABLE wrong_questions ADD COLUMN category VARCHAR(32) "
+                        "NOT NULL DEFAULT 'regular'"
+                    )
+                )
+
+    if "system_settings" in tables:
+        ss_columns = {col["name"] for col in inspector.get_columns("system_settings")}
+        alters: list[str] = []
+        if "ai_provider" not in ss_columns:
+            alters.append("ADD COLUMN ai_provider VARCHAR(16) NOT NULL DEFAULT 'ollama'")
+        if "ollama_base_url" not in ss_columns:
+            alters.append("ADD COLUMN ollama_base_url VARCHAR(256)")
+        if "ollama_model" not in ss_columns:
+            alters.append("ADD COLUMN ollama_model VARCHAR(128)")
+        if "openai_base_url" not in ss_columns:
+            alters.append("ADD COLUMN openai_base_url VARCHAR(256)")
+        if "openai_model" not in ss_columns:
+            alters.append("ADD COLUMN openai_model VARCHAR(128)")
+        if "openai_api_key" not in ss_columns:
+            alters.append("ADD COLUMN openai_api_key VARCHAR(512)")
+        if "ocr_service_url" not in ss_columns:
+            alters.append("ADD COLUMN ocr_service_url VARCHAR(256)")
+        if alters:
+            with engine.begin() as conn:
+                for clause in alters:
+                    conn.execute(text(f"ALTER TABLE system_settings {clause}"))
+
+    if "wrong_questions" in tables:
+        wq_columns = {col["name"] for col in inspector.get_columns("wrong_questions")}
+        wq_alters: list[str] = []
+        if "solution_approach" not in wq_columns:
+            wq_alters.append("ADD COLUMN solution_approach TEXT")
+        if "mark_regions_json" not in wq_columns:
+            wq_alters.append("ADD COLUMN mark_regions_json TEXT")
+        if "annotated_image_path" not in wq_columns:
+            wq_alters.append("ADD COLUMN annotated_image_path VARCHAR(512)")
+        if "cropped_image_path" not in wq_columns:
+            wq_alters.append("ADD COLUMN cropped_image_path VARCHAR(512)")
+        if "error_message" not in wq_columns:
+            wq_alters.append("ADD COLUMN error_message TEXT")
+        if wq_alters:
+            with engine.begin() as conn:
+                for clause in wq_alters:
+                    conn.execute(text(f"ALTER TABLE wrong_questions {clause}"))
+
+    if "subject_scores" in tables:
+        ss_columns = {col["name"] for col in inspector.get_columns("subject_scores")}
+        if "review_statuses_json" not in ss_columns:
+            with engine.begin() as conn:
+                conn.execute(text("ALTER TABLE subject_scores ADD COLUMN review_statuses_json TEXT"))
+
+    if "system_settings" in tables:
+        ss_columns = {col["name"] for col in inspector.get_columns("system_settings")}
+        if "ai_review_enabled" not in ss_columns:
+            with engine.begin() as conn:
+                conn.execute(
+                    text(
+                        "ALTER TABLE system_settings ADD COLUMN ai_review_enabled BOOLEAN NOT NULL DEFAULT TRUE"
+                    )
+                )
+
+    student_columns = {col["name"] for col in inspector.get_columns("students")}
+    student_alters: list[str] = []
+    if "school_name" not in student_columns:
+        student_alters.append("ADD COLUMN school_name VARCHAR(128)")
+    if "avatar_path" not in student_columns:
+        student_alters.append("ADD COLUMN avatar_path VARCHAR(512)")
+    if student_alters:
+        with engine.begin() as conn:
+            for clause in student_alters:
+                conn.execute(text(f"ALTER TABLE students {clause}"))

backend/app/services/ocr.py

@@ -1,8 +1,22 @@
+import logging
+import os
+import tempfile
+import threading
+from io import BytesIO
 from pathlib import Path
 
+import httpx
+from PIL import Image
+
 from app.core.config import settings
 
+# 无图形界面服务器：避免 OpenCV/Paddle 依赖 X11
+os.environ.setdefault("OPENCV_IO_ENABLE_OPENEXR", "0")
+
+logger = logging.getLogger(__name__)
+
 _ocr_engine = None
+_ocr_warmup_started = False
 
 
 def get_ocr_engine():
@@ -10,22 +24,175 @@ def get_ocr_engine():
     if _ocr_engine is None:
         from paddleocr import PaddleOCR
 
-        _ocr_engine = PaddleOCR(use_angle_cls=True, lang="ch", show_log=False)
+        use_gpu = settings.OCR_USE_GPU
+        _ocr_engine = PaddleOCR(
+            use_angle_cls=False,
+            lang="ch",
+            show_log=False,
+            use_gpu=use_gpu,
+            enable_mkldnn=not use_gpu,
+            det_limit_side_len=min(settings.OCR_MAX_SIDE, 1280),
+            rec_batch_num=8,
+        )
     return _ocr_engine
 
 
-def run_ocr(image_path: str) -> str:
+def resolve_ocr_service_url(service_url: str | None = None) -> str | None:
+    url = (service_url or settings.OCR_SERVICE_URL or "").strip()
+    return url or None
+
+
+def uses_remote_ocr(service_url: str | None = None) -> bool:
+    return resolve_ocr_service_url(service_url) is not None
+
+
+def warmup_ocr_engine() -> None:
+    """后台预加载 OCR 模型，避免首张图片等待数分钟。"""
+    global _ocr_warmup_started
+    if _ocr_warmup_started or not settings.OCR_WARMUP or uses_remote_ocr():
+        return
+    _ocr_warmup_started = True
+
+    def _run() -> None:
+        try:
             engine = get_ocr_engine()
-    result = engine.ocr(image_path, cls=True)
+            with tempfile.NamedTemporaryFile(suffix=".jpg", delete=False) as tmp:
-    if not result or not result[0]:
+                Image.new("RGB", (120, 40), color=(255, 255, 255)).save(tmp.name, format="JPEG")
-        return ""
+                tmp_path = tmp.name
-    lines = []
+            try:
-    for line in result[0]:
+                engine.ocr(tmp_path, cls=False)
-        if line and len(line) >= 2:
+                logger.info("OCR engine warmed up")
-            text = line[1][0]
+            finally:
-            if text:
+                Path(tmp_path).unlink(missing_ok=True)
-                lines.append(text)
+        except Exception as exc:
-    return "\n".join(lines)
+            logger.warning("OCR warmup failed: %s", exc)
+
+    threading.Thread(target=_run, daemon=True, name="ocr-warmup").start()
+
+
+def _bbox_from_box(box: list) -> list[float]:
+    xs = [float(p[0]) for p in box]
+    ys = [float(p[1]) for p in box]
+    return [min(xs), min(ys), max(xs), max(ys)]
+
+
+def _scale_bbox(bbox: list[float], scale_x: float, scale_y: float) -> list[float]:
+    return [bbox[0] * scale_x, bbox[1] * scale_y, bbox[2] * scale_x, bbox[3] * scale_y]
+
+
+def _scale_box(box: list, scale_x: float, scale_y: float) -> list:
+    return [[float(p[0]) * scale_x, float(p[1]) * scale_y] for p in box]
+
+
+def _normalize_image_bytes(content: bytes, max_side: int) -> bytes:
+    with Image.open(BytesIO(content)) as img:
+        img = img.convert("RGB")
+        width, height = img.size
+        longest = max(width, height)
+        if longest > max_side:
+            ratio = max_side / longest
+            img = img.resize((int(width * ratio), int(height * ratio)), Image.Resampling.LANCZOS)
+        buf = BytesIO()
+        img.save(buf, format="JPEG", quality=88, optimize=True)
+        return buf.getvalue()
+
+
+def _prepare_ocr_image(image_path: str) -> tuple[str, float, float, int, int, Path | None]:
+    """若图片过大则生成临时缩小图供 OCR，返回缩放比例与原始尺寸。"""
+    with Image.open(image_path) as img:
+        orig_w, orig_h = img.size
+
+    max_side = settings.OCR_MAX_SIDE
+    longest = max(orig_w, orig_h)
+    if longest <= max_side:
+        return image_path, 1.0, 1.0, orig_w, orig_h, None
+
+    with Image.open(image_path) as img:
+        img = img.convert("RGB")
+        ratio = max_side / longest
+        new_w = max(1, int(orig_w * ratio))
+        new_h = max(1, int(orig_h * ratio))
+        resized = img.resize((new_w, new_h), Image.Resampling.LANCZOS)
+        tmp = Path(tempfile.gettempdir()) / f"ocr_{Path(image_path).stem}_{os.getpid()}.jpg"
+        resized.save(tmp, format="JPEG", quality=85, optimize=True)
+
+    scale_x = orig_w / new_w
+    scale_y = orig_h / new_h
+    return str(tmp), scale_x, scale_y, orig_w, orig_h, tmp
+
+
+def _run_remote_ocr(service_url: str, image_path: str) -> dict:
+    url = f"{service_url.rstrip('/')}/api/ocr/regions"
+    headers: dict[str, str] = {}
+    if settings.OCR_API_KEY:
+        headers["X-OCR-Key"] = settings.OCR_API_KEY
+    with open(image_path, "rb") as handle:
+        files = {"file": (Path(image_path).name, handle, "image/jpeg")}
+        with httpx.Client(timeout=settings.OCR_TIMEOUT_SECONDS) as client:
+            resp = client.post(url, files=files, headers=headers)
+            if resp.status_code >= 400:
+                detail = resp.text
+                try:
+                    body = resp.json()
+                    if isinstance(body.get("detail"), str):
+                        detail = body["detail"]
+                    elif isinstance(body.get("detail"), list):
+                        detail = str(body["detail"])
+                except Exception:
+                    pass
+                raise RuntimeError(f"OCR 服务 {resp.status_code}: {detail}")
+            return resp.json()
+
+
+def _run_local_ocr(image_path: str) -> dict:
+    engine = get_ocr_engine()
+    ocr_path, scale_x, scale_y, orig_w, orig_h, tmp_path = _prepare_ocr_image(image_path)
+    try:
+        result = engine.ocr(ocr_path, cls=False)
+    finally:
+        if tmp_path is not None:
+            tmp_path.unlink(missing_ok=True)
+
+    lines: list[dict] = []
+    if result and result[0]:
+        for item in result[0]:
+            if not item or len(item) < 2:
+                continue
+            box, rec = item[0], item[1]
+            text = rec[0] if rec else ""
+            conf = float(rec[1]) if rec and len(rec) > 1 else 0.0
+            if not text:
+                continue
+            if scale_x != 1.0 or scale_y != 1.0:
+                box = _scale_box(box, scale_x, scale_y)
+            bbox = _bbox_from_box(box)
+            lines.append(
+                {
+                    "text": text,
+                    "confidence": conf,
+                    "box": box,
+                    "bbox": bbox,
+                }
+            )
+
+    return {
+        "text": "\n".join(line["text"] for line in lines),
+        "lines": lines,
+        "width": orig_w,
+        "height": orig_h,
+    }
+
+
+def run_ocr_with_regions(image_path: str, service_url: str | None = None) -> dict:
+    """Return OCR text plus line-level bounding boxes for annotation."""
+    remote = resolve_ocr_service_url(service_url)
+    if remote:
+        return _run_remote_ocr(remote, image_path)
+    return _run_local_ocr(image_path)
+
+
+def run_ocr(image_path: str) -> str:
+    return run_ocr_with_regions(image_path)["text"]
 
 
 def save_upload_file(user_id: str, question_id: str, filename: str, content: bytes) -> str:
@@ -36,5 +203,11 @@ def save_upload_file(user_id: str, question_id: str, filename: str, content: byt
     user_dir.mkdir(parents=True, exist_ok=True)
     rel_path = f"{user_id}/{question_id}{ext}"
     full_path = Path(settings.UPLOAD_DIR) / rel_path
-    full_path.write_bytes(content)
+    normalized = _normalize_image_bytes(content, settings.UPLOAD_MAX_SIDE)
+    full_path.write_bytes(normalized)
     return rel_path
+
+
+def annotated_rel_path(original_rel: str) -> str:
+    p = Path(original_rel)
+    return str(p.parent / f"{p.stem}_marked.jpg")

backend/app/services/ocr_filter.py

@@ -0,0 +1,103 @@
+"""OCR 行分类：区分印刷题干与手写作答。"""
+import re
+
+# 印刷体/题干常见特征
+_PRINTED_RE = re.compile(
+    r"(第\s*[0-9一二三四五六七八九十百]+题|"
+    r"[（(]\s*[0-9一二三四五六七八九十]+\s*[）)]|"
+    r"^\s*[0-9]{1,2}\s*[\.．、\)]|"
+    r"^[A-Da-d]\s*[\.．、]|"
+    r"选择题|填空题|解答题|证明题|计算题|应用题|"
+    r"下列|以下|正确|错误|不正确|单选|多选|"
+    r"已知|求证|设|若|求|如图|如图所示)",
+    re.MULTILINE,
+)
+
+# 手写作答常见特征（算式、短碎片）
+_HANDWRITE_RE = re.compile(
+    r"^[0-9\s+\-×÷*/=≈<>()\[\].,，、%°]+$|"
+    r"^[xXyYzZ]\s*[=＝]|"
+    r"^\s*\d+\s*[\.．]\s*\d*\s*$"
+)
+
+
+def _line_center_y(line: dict) -> float:
+    bbox = line.get("bbox") or [0, 0, 0, 0]
+    return (float(bbox[1]) + float(bbox[3])) / 2.0
+
+
+def _looks_printed(text: str) -> bool:
+    t = text.strip()
+    if len(t) >= 12 and _PRINTED_RE.search(t):
+        return True
+    if _PRINTED_RE.match(t):
+        return True
+    return False
+
+
+def _looks_handwritten(text: str, confidence: float) -> bool:
+    t = text.strip()
+    if not t:
+        return True
+    if _looks_printed(t):
+        return False
+    if _HANDWRITE_RE.match(t):
+        return True
+    if len(t) <= 6 and confidence < 0.92:
+        return True
+    digit_ratio = sum(c.isdigit() or c in "+-×÷*/=≈.%" for c in t) / max(len(t), 1)
+    if digit_ratio > 0.55 and len(t) < 20:
+        return True
+    return False
+
+
+def split_printed_handwriting(
+    lines: list[dict],
+    img_height: int,
+    *,
+    answer_zone_ratio: float = 0.45,
+    enabled: bool = True,
+) -> tuple[list[int], list[int]]:
+    """
+    返回 (印刷题干行编号, 手写作答行编号)，编号为 lines 列表下标。
+    answer_zone_ratio: 图片高度比例，低于此 y 中心视为题干区，高于视为作答区。
+    """
+    if not lines or not enabled or img_height <= 0:
+        return list(range(len(lines))), []
+
+    split_y = img_height * answer_zone_ratio
+    printed_ids: list[int] = []
+    handwriting_ids: list[int] = []
+
+    for i, line in enumerate(lines):
+        text = line.get("text", "")
+        conf = float(line.get("confidence") or 0.0)
+        cy = _line_center_y(line)
+
+        if _looks_printed(text):
+            printed_ids.append(i)
+            continue
+
+        in_answer_zone = cy >= split_y
+        if in_answer_zone and _looks_handwritten(text, conf):
+            handwriting_ids.append(i)
+        elif not in_answer_zone:
+            printed_ids.append(i)
+        elif in_answer_zone:
+            handwriting_ids.append(i)
+
+    if not printed_ids and lines:
+        printed_ids = list(range(min(3, len(lines))))
+
+    if not handwriting_ids and len(lines) >= 2:
+        handwriting_ids = list(range(max(0, len(lines) - 3), len(lines)))
+
+    return printed_ids, handwriting_ids
+
+
+def lines_by_indices(lines: list[dict], indices: list[int]) -> list[dict]:
+    return [lines[i] for i in indices if 0 <= i < len(lines)]
+
+
+def text_from_indices(lines: list[dict], indices: list[int]) -> str:
+    return "\n".join(lines[i].get("text", "") for i in indices if 0 <= i < len(lines)).strip()

backend/app/services/ollama.py

@@ -1,47 +1,5 @@
-import httpx
+"""Backward-compatible wrapper; prefer app.services.llm."""
 
-from app.core.config import settings
+from app.services.llm import format_question, generate_solution, load_ai_config
-from app.services.school_level import school_level_label
 
-QUESTION_PROMPT = """你是一位{stage}老师。以下是从试卷 OCR 识别出的文字，可能含有噪声。
+__all__ = ["format_question", "generate_solution", "load_ai_config"]
-科目：{subject}
-请整理出清晰的题目内容（保留题号、选项、公式），只输出题目正文，不要解释。
-
-OCR 原文：
-{ocr_text}
-"""
-
-SOLUTION_PROMPT = """你是一位耐心的{stage}{subject}老师。请为以下题目给出详细解法。
-要求：步骤清晰，语言适合{stage}学生理解，指出考点和易错点。
-
-题目：
-{question_text}
-"""
-
-
-async def ollama_generate(prompt: str) -> str:
-    url = f"{settings.OLLAMA_BASE_URL.rstrip('/')}/api/generate"
-    payload = {
-        "model": settings.OLLAMA_MODEL,
-        "prompt": prompt,
-        "stream": False,
-    }
-    async with httpx.AsyncClient(timeout=120.0) as client:
-        response = await client.post(url, json=payload)
-        response.raise_for_status()
-        data = response.json()
-        return (data.get("response") or "").strip()
-
-
-async def format_question(subject: str, ocr_text: str, school_level=None) -> str:
-    stage = school_level_label(school_level)
-    prompt = QUESTION_PROMPT.format(stage=stage, subject=subject, ocr_text=ocr_text)
-    return await ollama_generate(prompt)
-
-
-async def generate_solution(subject: str, question_text: str, school_level=None) -> str:
-    stage = school_level_label(school_level)
-    prompt = SOLUTION_PROMPT.format(
-        stage=stage, subject=subject, question_text=question_text
-    )
-    return await ollama_generate(prompt)

backend/app/services/seed.py

@@ -1,6 +1,8 @@
 from sqlalchemy.orm import Session
 
-from app.models.user import Subject
+from app.core.config import settings
+from app.core.security import get_password_hash
+from app.models.user import Subject, SystemSettings, User
 
 DEFAULT_SUBJECTS = [
     "语文",
@@ -21,3 +23,47 @@ def seed_subjects(db: Session) -> None:
         if name not in existing:
             db.add(Subject(name=name))
     db.commit()
+
+
+def seed_admin_and_settings(db: Session) -> None:
+    row = db.get(SystemSettings, 1)
+    if row is None:
+        db.add(
+            SystemSettings(
+                id=1,
+                registration_enabled=True,
+                ai_provider="ollama",
+                ollama_base_url=settings.OLLAMA_BASE_URL,
+                ollama_model=settings.OLLAMA_MODEL,
+                openai_base_url=settings.OPENAI_BASE_URL,
+                openai_model=settings.OPENAI_MODEL,
+                ocr_service_url=settings.OCR_SERVICE_URL or None,
+            )
+        )
+    else:
+        if not row.ollama_base_url:
+            row.ollama_base_url = settings.OLLAMA_BASE_URL
+        if not row.ollama_model:
+            row.ollama_model = settings.OLLAMA_MODEL
+        if not row.openai_base_url:
+            row.openai_base_url = settings.OPENAI_BASE_URL
+        if not row.openai_model:
+            row.openai_model = settings.OPENAI_MODEL
+        if not row.ocr_service_url and settings.OCR_SERVICE_URL:
+            row.ocr_service_url = settings.OCR_SERVICE_URL
+        if not row.ai_provider:
+            row.ai_provider = "ollama"
+
+    admin = db.query(User).filter(User.username == settings.ADMIN_DEFAULT_USERNAME).first()
+    if admin is None:
+        db.add(
+            User(
+                username=settings.ADMIN_DEFAULT_USERNAME,
+                password_hash=get_password_hash(settings.ADMIN_DEFAULT_PASSWORD),
+                is_superuser=True,
+            )
+        )
+    elif not admin.is_superuser:
+        admin.is_superuser = True
+
+    db.commit()

backend/app/services/student_avatar.py

@@ -0,0 +1,32 @@
+import uuid
+from io import BytesIO
+from pathlib import Path
+
+from PIL import Image
+
+from app.core.config import settings
+
+
+def avatar_rel_path(user_id: str, student_id: str) -> str:
+    return f"{user_id}/avatars/{student_id}.jpg"
+
+
+def save_avatar(user_id: str, student_id: str, content: bytes) -> str:
+    rel = avatar_rel_path(user_id, student_id)
+    full = Path(settings.UPLOAD_DIR) / rel
+    full.parent.mkdir(parents=True, exist_ok=True)
+
+    image = Image.open(BytesIO(content))
+    if image.mode not in ("RGB", "L"):
+        image = image.convert("RGB")
+    image.thumbnail((256, 256), Image.Resampling.LANCZOS)
+    image.save(full, format="JPEG", quality=85, optimize=True)
+    return rel
+
+
+def delete_avatar_file(avatar_path: str | None) -> None:
+    if not avatar_path:
+        return
+    full = Path(settings.UPLOAD_DIR) / avatar_path
+    if full.is_file():
+        full.unlink()

backend/app/services/url_sanitize.py

@@ -0,0 +1,24 @@
+import re
+
+# ANSI 颜色/光标控制序列（粘贴终端输出时常见）
+_ANSI_ESCAPE = re.compile(r"\x1b\[[0-9;?]*[ -/]*[@-~]|\x1b\][^\x07]*\x07|\x1b[@-Z\\-_]")
+
+# 其它不可见控制字符（保留普通 URL 字符）
+_CTRL_CHARS = re.compile(r"[\x00-\x1f\x7f]")
+
+
+def sanitize_http_url(url: str | None) -> str:
+    """去掉 URL 中的 ANSI/控制字符，避免 httpx Invalid non-printable ASCII character。"""
+    if not url:
+        return ""
+    cleaned = _ANSI_ESCAPE.sub("", url)
+    cleaned = _CTRL_CHARS.sub("", cleaned)
+    return cleaned.strip()
+
+
+def sanitize_model_name(name: str | None) -> str:
+    if not name:
+        return ""
+    cleaned = _ANSI_ESCAPE.sub("", name)
+    cleaned = _CTRL_CHARS.sub("", cleaned)
+    return cleaned.strip()

deploy/backup.sh

@@ -1,9 +1,17 @@
 #!/usr/bin/env bash
+# 中学成绩档案 — 数据备份（数据库 + uploads，统一 tar.gz）
 set -euo pipefail
 
 INSTALL_DIR="${INSTALL_DIR:-/opt/secondary-school-grade-archive}"
-BACKUP_DIR="${BACKUP_DIR:-${INSTALL_DIR}/backups}"
+BACKUP_DIR="${BACKUP_DIR:-/root/grade-archive-backups}"
 TIMESTAMP=$(date +%Y%m%d_%H%M%S)
+ARCHIVE="${BACKUP_DIR}/grade-archive_${TIMESTAMP}.tar.gz"
+WORK=$(mktemp -d)
+
+cleanup() {
+  rm -rf "${WORK}"
+}
+trap cleanup EXIT
 
 cd "${INSTALL_DIR}"
 # shellcheck disable=SC1090
@@ -12,11 +20,21 @@ mkdir -p "${BACKUP_DIR}"
 
 echo "[INFO] 备份数据库…"
 PGPASSWORD="${POSTGRES_PASSWORD}" pg_dump -h 127.0.0.1 -U "${POSTGRES_USER}" "${POSTGRES_DB}" \
-  > "${BACKUP_DIR}/db_${TIMESTAMP}.sql"
+  --no-owner --no-privileges --clean --if-exists \
+  > "${WORK}/database.sql"
 
-echo "[INFO] 备份 uploads…"
+cat > "${WORK}/manifest.json" <<EOF
-tar -czf "${BACKUP_DIR}/uploads_${TIMESTAMP}.tar.gz" -C "${INSTALL_DIR}" uploads/
+{
+  "app": "secondary-school-grade-archive",
+  "created_at": "$(date -Iseconds)",
+  "database": "${POSTGRES_DB}"
+}
+EOF
 
-echo "[INFO] 完成:"
+echo "[INFO] 打包 uploads…"
-echo "  ${BACKUP_DIR}/db_${TIMESTAMP}.sql"
+tar -czf "${ARCHIVE}" -C "${WORK}" database.sql manifest.json -C "${INSTALL_DIR}" uploads/
-echo "  ${BACKUP_DIR}/uploads_${TIMESTAMP}.tar.gz"
+
+echo "[INFO] 完成: ${ARCHIVE}"
+
+# 清理 30 天前的备份
+find "${BACKUP_DIR}" -name 'grade-archive_*.tar.gz' -mtime +30 -delete 2>/dev/null || true

deploy/build-frontend.ps1

@@ -0,0 +1,21 @@
+# 本地构建前端并提示提交 dist（开发机执行，服务器不构建）
+$ErrorActionPreference = "Stop"
+$Root = Split-Path -Parent (Split-Path -Parent $MyInvocation.MyCommand.Path)
+Set-Location (Join-Path $Root "frontend")
+
+Write-Host "[INFO] 安装依赖并构建前端…"
+npm ci
+npm run build
+
+if (-not (Test-Path "dist\index.html")) {
+    Write-Error "构建失败：未生成 dist\index.html"
+}
+
+Write-Host ""
+Write-Host "构建完成。请提交并推送："
+Write-Host "  git add frontend/dist"
+Write-Host '  git commit -m "build: update frontend dist"'
+Write-Host "  git push"
+Write-Host ""
+Write-Host "服务器更新："
+Write-Host "  bash /opt/secondary-school-grade-archive/deploy/update.sh"

deploy/build-frontend.sh

@@ -0,0 +1,24 @@
+#!/usr/bin/env bash
+# 本地构建前端并提示提交 dist（开发机执行，服务器不构建）
+set -euo pipefail
+
+ROOT="$(cd "$(dirname "$0")/.." && pwd)"
+cd "${ROOT}/frontend"
+
+echo "[INFO] 安装依赖并构建前端…"
+npm ci
+npm run build
+
+if [[ ! -f dist/index.html ]]; then
+  echo "[ERROR] 构建失败：未生成 dist/index.html"
+  exit 1
+fi
+
+echo ""
+echo "构建完成。请提交并推送："
+echo "  git add frontend/dist"
+echo "  git commit -m \"build: update frontend dist\""
+echo "  git push"
+echo ""
+echo "服务器更新："
+echo "  bash /opt/secondary-school-grade-archive/deploy/update.sh"

deploy/common.sh

@@ -0,0 +1,80 @@
+#!/usr/bin/env bash
+# 部署脚本共用函数
+INSTALL_DIR="${INSTALL_DIR:-/opt/secondary-school-grade-archive}"
+WEB_PORT="${WEB_PORT:-23566}"
+
+RED='\033[0;31m'
+GREEN='\033[0;32m'
+YELLOW='\033[1;33m'
+NC='\033[0m'
+
+log_info()  { echo -e "${GREEN}[INFO]${NC} $*"; }
+log_warn()  { echo -e "${YELLOW}[WARN]${NC} $*"; }
+log_error() { echo -e "${RED}[ERROR]${NC} $*" >&2; }
+
+require_root() {
+  if [[ "${EUID:-$(id -u)}" -ne 0 ]]; then
+    log_error "请使用 root 运行: sudo bash $*"
+    exit 1
+  fi
+}
+
+load_env_port() {
+  if [[ -f "${INSTALL_DIR}/.env" ]]; then
+    # shellcheck disable=SC1090
+    set -a && source "${INSTALL_DIR}/.env" && set +a
+  fi
+  WEB_PORT="${WEB_PORT:-23566}"
+}
+
+stop_legacy_pm2() {
+  if command -v pm2 &>/dev/null; then
+    pm2 delete grade-api grade-web 2>/dev/null || true
+    pm2 save 2>/dev/null || true
+    log_info "已停止旧版 PM2 进程"
+  fi
+}
+
+setup_systemd_service() {
+  log_info "配置 systemd 服务 grade-archive…"
+  sed "s|/opt/secondary-school-grade-archive|${INSTALL_DIR}|g" \
+    "${INSTALL_DIR}/deploy/grade-archive.service" > /etc/systemd/system/grade-archive.service
+  systemctl daemon-reload
+  systemctl enable grade-archive
+}
+
+restart_grade_service() {
+  load_env_port
+  mkdir -p "${INSTALL_DIR}/uploads" "${INSTALL_DIR}/backups"
+  find "${INSTALL_DIR}/deploy" -name "*.sh" -exec chmod +x {} + 2>/dev/null || true
+  log_info "重启 grade-archive（端口 ${WEB_PORT}）…"
+  systemctl restart grade-archive
+}
+
+wait_healthy() {
+  load_env_port
+  local i
+  for i in $(seq 1 30); do
+    if curl -sf "http://127.0.0.1:${WEB_PORT}/api/health" >/dev/null 2>&1; then
+      log_info "健康检查通过 — http://127.0.0.1:${WEB_PORT}"
+      return 0
+    fi
+    sleep 2
+  done
+  log_error "服务未响应，请查看日志:"
+  journalctl -u grade-archive -n 40 --no-pager || true
+  return 1
+}
+
+install_ocr_deps_safe() {
+  if [[ -x "${INSTALL_DIR}/deploy/install-ocr-deps.sh" ]]; then
+    bash "${INSTALL_DIR}/deploy/install-ocr-deps.sh" || log_warn "OCR 依赖安装跳过（可稍后重试）"
+  fi
+}
+
+show_service_status() {
+  echo ""
+  systemctl status grade-archive --no-pager -l 2>/dev/null || true
+  echo ""
+  ss -tlnp 2>/dev/null | grep -E ":${WEB_PORT}\s" || echo "端口 ${WEB_PORT} 未监听"
+}

deploy/grade-archive.service

@@ -0,0 +1,16 @@
+[Unit]
+Description=Secondary School Grade Archive
+After=network.target postgresql.service
+Wants=postgresql.service
+
+[Service]
+Type=simple
+WorkingDirectory=/opt/secondary-school-grade-archive
+ExecStart=/opt/secondary-school-grade-archive/deploy/start.sh
+Restart=always
+RestartSec=5
+TimeoutStartSec=120
+EnvironmentFile=-/opt/secondary-school-grade-archive/.env
+
+[Install]
+WantedBy=multi-user.target

deploy/install-ocr-deps.sh

@@ -0,0 +1,28 @@
+#!/usr/bin/env bash
+# PaddleOCR / OpenCV 在无图形界面服务器上所需的系统库
+set -euo pipefail
+
+if [[ "${EUID:-$(id -u)}" -ne 0 ]]; then
+  echo "请使用 root 运行: sudo bash deploy/install-ocr-deps.sh"
+  exit 1
+fi
+
+GREEN='\033[0;32m'
+NC='\033[0m'
+log_info() { echo -e "${GREEN}[INFO]${NC} $*"; }
+
+log_info "安装 OCR 依赖（libGL 等）…"
+apt-get update -qq
+DEBIAN_FRONTEND=noninteractive apt-get install -y -qq \
+  libgl1 \
+  libglx-mesa0 \
+  libgbm1 \
+  libgomp1 \
+  libglib2.0-0 \
+  libsm6 \
+  libxrender1 \
+  libxext6 \
+  libxcb1 \
+  libfontconfig1
+
+log_info "OCR 系统依赖已就绪"

deploy/install.sh

@@ -1,6 +1,7 @@
 #!/usr/bin/env bash
 #
-# 中学成绩档案系统 — Ubuntu PM2 一键部署
+# 中学成绩档案系统 — 一键部署
+# 架构：主程序 + OCR(GPU/screen 同机) | Ollama(其他电脑局域网)
 # 版权所有 (c) 马建军  微信: dekun03  手机: 18364911125
 #
 set -euo pipefail
@@ -8,11 +9,12 @@ set -euo pipefail
 REPO_URL="${REPO_URL:-https://git.bz121.com/dekun/secondary-school-grade-archive.git}"
 INSTALL_DIR="${INSTALL_DIR:-/opt/secondary-school-grade-archive}"
 WEB_PORT="${WEB_PORT:-23566}"
-API_PORT="${API_PORT:-23568}"
+OCR_PORT="${OCR_PORT:-23567}"
 BRANCH="${BRANCH:-main}"
-NODE_MAJOR="${NODE_MAJOR:-20}"
 PIP_MIRROR="${PIP_MIRROR:-https://pypi.tuna.tsinghua.edu.cn/simple}"
-NPM_REGISTRY="${NPM_REGISTRY:-https://registry.npmmirror.com}"
+# Ollama 在其他电脑时安装前指定，例如: OLLAMA_BASE_URL=http://192.168.8.100:11434
+OLLAMA_BASE_URL="${OLLAMA_BASE_URL:-}"
+OLLAMA_MODEL="${OLLAMA_MODEL:-qwen2.5:7b}"
 
 RED='\033[0;31m'
 GREEN='\033[0;32m'
@@ -23,6 +25,11 @@ log_info()  { echo -e "${GREEN}[INFO]${NC} $*"; }
 log_warn()  { echo -e "${YELLOW}[WARN]${NC} $*"; }
 log_error() { echo -e "${RED}[ERROR]${NC} $*" >&2; }
 
+# shellcheck source=proxy.sh
+source "$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/proxy.sh"
+# shellcheck source=ocr-common.sh
+source "$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/ocr-common.sh"
+
 require_root() {
   if [[ "${EUID:-$(id -u)}" -ne 0 ]]; then
     log_error "请使用 root 用户运行: sudo bash deploy/install.sh"
@@ -41,37 +48,46 @@ check_os() {
 }
 
 check_port() {
-  if command -v ss &>/dev/null && ss -tln | grep -q ":${WEB_PORT} "; then
+  for p in "${WEB_PORT}" "${OCR_PORT}"; do
+    if command -v ss &>/dev/null && ss -tln | grep -q ":${p} "; then
+      if [[ "${p}" == "${OCR_PORT}" ]] && ocr_screen_running 2>/dev/null; then
+        log_warn "端口 ${OCR_PORT} 已被占用（可能已有 OCR Worker）"
+      elif [[ "${p}" == "${WEB_PORT}" ]]; then
         log_error "端口 ${WEB_PORT} 已被占用"
         exit 1
       fi
-  log_info "端口 ${WEB_PORT} 可用"
+    fi
+  done
+  log_info "Web 端口 ${WEB_PORT} / OCR 端口 ${OCR_PORT} 检查完成"
+}
+
+prompt_ollama_url() {
+  if [[ -n "${OLLAMA_BASE_URL}" ]]; then
+    log_info "Ollama 地址: ${OLLAMA_BASE_URL}"
+    return
+  fi
+  if [[ -t 0 ]]; then
+    echo ""
+    echo "Ollama 部署在【其他电脑】上，请填写局域网地址。"
+    read -rp "Ollama 地址 [http://192.168.8.100:11434]: " input
+    OLLAMA_BASE_URL="${input:-http://192.168.8.100:11434}"
+  else
+    OLLAMA_BASE_URL="http://127.0.0.1:11434"
+    log_warn "未设置 OLLAMA_BASE_URL，默认 ${OLLAMA_BASE_URL}（可在 .env 或系统设置中修改）"
+  fi
+  log_info "Ollama 地址: ${OLLAMA_BASE_URL}"
 }
 
 install_base_packages() {
   log_info "安装系统依赖…"
   apt-get update -qq
   DEBIAN_FRONTEND=noninteractive apt-get install -y -qq \
-    git curl ca-certificates openssl \
+    git curl ca-certificates openssl screen \
     python3 python3-venv python3-pip python3-dev \
     build-essential libpq-dev \
     postgresql postgresql-contrib \
-    libgomp1 libglib2.0-0 libsm6 libxrender1 libxext6
+    libgl1 libglx-mesa0 libgbm1 \
-}
+    libgomp1 libglib2.0-0 libsm6 libxrender1 libxext6 libxcb1 libfontconfig1
-
-install_node_pm2() {
-  if ! command -v node &>/dev/null || [[ "$(node -v | cut -d. -f1 | tr -d v)" -lt "${NODE_MAJOR}" ]]; then
-    log_info "安装 Node.js ${NODE_MAJOR}.x…"
-    curl -fsSL "https://deb.nodesource.com/setup_${NODE_MAJOR}.x" | bash -
-    apt-get install -y -qq nodejs
-  fi
-  log_info "Node: $(node -v)  npm: $(npm -v)"
-
-  if ! command -v pm2 &>/dev/null; then
-    log_info "安装 PM2…"
-    npm install -g pm2
-  fi
-  log_info "PM2: $(pm2 -v)"
 }
 
 clone_or_update_repo() {
@@ -86,6 +102,27 @@ clone_or_update_repo() {
     git clone --branch "${BRANCH}" "${REPO_URL}" "${INSTALL_DIR}" || git clone "${REPO_URL}" "${INSTALL_DIR}"
   fi
   find "${INSTALL_DIR}" -name "*.sh" -exec sed -i 's/\r$//' {} +
+  chmod +x "${INSTALL_DIR}/deploy/start.sh" \
+    "${INSTALL_DIR}/deploy/ocr-screen.sh" \
+    "${INSTALL_DIR}/deploy/ocr-worker/"*.sh 2>/dev/null || true
+}
+
+verify_frontend_dist() {
+  if [[ ! -f "${INSTALL_DIR}/frontend/dist/index.html" ]]; then
+    log_error "未找到 frontend/dist/index.html"
+    log_error "仓库应已包含预构建前端；若缺失请在开发机 npm run build 后推送"
+    exit 1
+  fi
+  log_info "前端静态资源已就绪"
+}
+
+env_set_or_append() {
+  local key="$1" val="$2" file="${INSTALL_DIR}/.env"
+  if grep -q "^${key}=" "${file}" 2>/dev/null; then
+    sed -i "s|^${key}=.*|${key}=${val}|" "${file}"
+  else
+    echo "${key}=${val}" >> "${file}"
+  fi
 }
 
 generate_env() {
@@ -94,13 +131,9 @@ generate_env() {
   server_ip=$(hostname -I 2>/dev/null | awk '{print $1}')
   server_ip="${server_ip:-127.0.0.1}"
 
-  if [[ -f "${env_file}" ]]; then
+  prompt_ollama_url
-    log_info "保留已有 .env"
-    # shellcheck disable=SC1090
-    set -a && source "${env_file}" && set +a
-    return
-  fi
 
+  if [[ ! -f "${env_file}" ]]; then
     local secret pg_pass pg_user
     secret=$(openssl rand -hex 32)
     pg_pass=$(openssl rand -hex 16)
@@ -109,21 +142,36 @@ generate_env() {
     cat > "${env_file}" <<EOF
 # generated by deploy/install.sh — $(date -Iseconds)
 WEB_PORT=${WEB_PORT}
-API_PORT=${API_PORT}
+FRONTEND_DIST=${INSTALL_DIR}/frontend/dist
-API_TARGET=http://127.0.0.1:${API_PORT}
 SECRET_KEY=${secret}
 POSTGRES_USER=${pg_user}
 POSTGRES_PASSWORD=${pg_pass}
 POSTGRES_DB=student_archive
 DATABASE_URL=postgresql://${pg_user}:${pg_pass}@127.0.0.1:5432/student_archive
 UPLOAD_DIR=${INSTALL_DIR}/uploads
+BACKUP_DIR=/root/grade-archive-backups
+BACKUP_RETENTION_DAYS=30
+AUTO_BACKUP_INTERVAL_HOURS=24
 CORS_ORIGINS=http://${server_ip}:${WEB_PORT},http://127.0.0.1:${WEB_PORT},http://localhost:${WEB_PORT}
-OLLAMA_BASE_URL=http://127.0.0.1:11434
+# OCR 同机 GPU Worker（screen 常驻）
-OLLAMA_MODEL=qwen2.5:7b
+OCR_SERVICE_URL=http://127.0.0.1:${OCR_PORT}
+OCR_PORT=${OCR_PORT}
+# Ollama 在其他电脑（局域网）
+OLLAMA_BASE_URL=${OLLAMA_BASE_URL}
+OLLAMA_MODEL=${OLLAMA_MODEL}
 FLUCTUATION_THRESHOLD=0.08
+ADMIN_DEFAULT_USERNAME=admin
+ADMIN_DEFAULT_PASSWORD=admin123
 EOF
     chmod 600 "${env_file}"
-  log_info ".env 已生成"
+    log_info ".env 已生成（默认 admin / admin123）"
+  else
+    log_info "更新 .env 中的 OCR / Ollama 配置…"
+    env_set_or_append "OCR_SERVICE_URL" "http://127.0.0.1:${OCR_PORT}"
+    env_set_or_append "OCR_PORT" "${OCR_PORT}"
+    env_set_or_append "OLLAMA_BASE_URL" "${OLLAMA_BASE_URL}"
+    env_set_or_append "OLLAMA_MODEL" "${OLLAMA_MODEL}"
+  fi
 }
 
 setup_postgresql() {
@@ -146,9 +194,11 @@ setup_postgresql() {
 }
 
 setup_backend() {
-  log_info "安装 Python 依赖（显示完整进度，Paddle 包较大，约 10–30 分钟）…"
+  log_info "安装主程序 Python 依赖…"
   cd "${INSTALL_DIR}/backend"
+  if [[ ! -d venv ]]; then
     python3 -m venv venv
+  fi
   # shellcheck disable=SC1091
   source venv/bin/activate
   pip install --upgrade pip --progress-bar on -i "${PIP_MIRROR}"
@@ -156,91 +206,122 @@ setup_backend() {
   deactivate
 }
 
-setup_frontend() {
+setup_ocr_gpu() {
-  log_info "构建前端…"
+  if command -v nvidia-smi >/dev/null; then
-  cd "${INSTALL_DIR}/frontend"
+    log_info "检测到 NVIDIA GPU，OCR 将常驻显存 (screen)"
-  npm config set registry "${NPM_REGISTRY}"
+    nvidia-smi --query-gpu=name,memory.total --format=csv,noheader 2>/dev/null || true
-  npm ci
-  npm run build
-}
-
-setup_gateway() {
-  log_info "安装 Web 网关依赖…"
-  cd "${INSTALL_DIR}/deploy/pm2"
-  npm config set registry "${NPM_REGISTRY}"
-  npm ci
-}
-
-setup_pm2_startup() {
-  log_info "配置 PM2 开机自启…"
-  local startup_cmd
-  startup_cmd=$(pm2 startup systemd -u root --hp /root 2>&1 | grep -E '^sudo ' | tail -1 || true)
-  if [[ -n "${startup_cmd}" ]]; then
-    # shellcheck disable=SC2086
-    eval ${startup_cmd} || log_warn "PM2 开机自启配置失败，可稍后手动执行: pm2 startup"
   else
-    log_warn "未获取 PM2 startup 命令，重启后需手动 pm2 resurrect"
+    log_warn "未检测到 NVIDIA GPU，OCR 将使用 CPU（较慢）"
+  fi
+  if [[ -x "${INSTALL_DIR}/deploy/install-ocr-deps.sh" ]]; then
+    bash "${INSTALL_DIR}/deploy/install-ocr-deps.sh" || log_warn "OCR 系统库安装跳过"
+  fi
+  install_ocr_worker
+  start_ocr_screen
+  wait_ocr_healthy 30 || log_warn "OCR 后台加载中，继续安装主程序…"
+}
+
+stop_legacy_pm2() {
+  if command -v pm2 &>/dev/null; then
+    pm2 delete grade-api grade-web 2>/dev/null || true
+    pm2 save 2>/dev/null || true
+    log_info "已停止旧版 PM2 进程"
   fi
 }
 
-start_pm2() {
+setup_systemd() {
-  log_info "启动 PM2 服务…"
+  log_info "配置 systemd 服务 grade-archive（主程序）…"
+  sed "s|/opt/secondary-school-grade-archive|${INSTALL_DIR}|g" \
+    "${INSTALL_DIR}/deploy/grade-archive.service" > /etc/systemd/system/grade-archive.service
+  systemctl daemon-reload
+  systemctl enable grade-archive
+}
+
+start_service() {
+  log_info "启动主程序…"
   cd "${INSTALL_DIR}"
-  mkdir -p uploads backups
+  mkdir -p uploads backups /root/grade-archive-backups
-  pm2 delete grade-api grade-web 2>/dev/null || true
+  chmod +x deploy/backup.sh deploy/restore.sh 2>/dev/null || true
-  pm2 start deploy/pm2/ecosystem.config.cjs
+  systemctl restart grade-archive
-  pm2 save
+}
-  setup_pm2_startup
+
+setup_backup_cron() {
+  log_info "配置每日自动备份（/root/grade-archive-backups）…"
+  cat > /etc/cron.d/grade-archive-backup <<EOF
+SHELL=/bin/bash
+PATH=/usr/local/sbin:/usr/local/bin:/sbin:/bin:/usr/sbin:/usr/bin
+0 3 * * * root INSTALL_DIR=${INSTALL_DIR} BACKUP_DIR=/root/grade-archive-backups bash ${INSTALL_DIR}/deploy/backup.sh >> /var/log/grade-archive-backup.log 2>&1
+EOF
+  chmod 644 /etc/cron.d/grade-archive-backup
 }
 
 wait_healthy() {
   local i
+  log_info "等待主程序就绪（最多 2 分钟）…"
   for i in $(seq 1 40); do
     if curl -sf "http://127.0.0.1:${WEB_PORT}/api/health" >/dev/null; then
-      log_info "健康检查通过"
+      log_info "主程序健康检查通过"
       return 0
     fi
+    if (( i % 5 == 0 )); then
+      echo -ne "\r${YELLOW}[INFO]${NC} 等待主程序… ${i}/40"
+    fi
     sleep 3
   done
-  log_warn "健康检查超时，请查看: pm2 logs"
+  echo ""
+  log_warn "主程序健康检查超时: journalctl -u grade-archive -f"
 }
 
 print_summary() {
+  # shellcheck disable=SC1090
+  source "${INSTALL_DIR}/.env"
   local ip
   ip=$(hostname -I 2>/dev/null | awk '{print $1}')
   ip="${ip:-127.0.0.1}"
   echo ""
   echo "=========================================="
-  echo "  中学成绩档案系统 PM2 部署完成"
+  echo "  中学成绩档案 — 一键部署完成"
   echo "  版权所有 (c) 马建军"
   echo "=========================================="
   echo "  访问:     http://${ip}:${WEB_PORT}"
-  echo "  目录: ${INSTALL_DIR}"
+  echo "  管理员:   admin / admin123（请立即修改）"
   echo ""
-  echo "  pm2 status"
+  echo "  【同机 OCR — GPU 常驻 screen】"
-  echo "  pm2 logs"
+  echo "  OCR 地址: http://127.0.0.1:${OCR_PORT}"
-  echo "  bash ${INSTALL_DIR}/deploy/update.sh"
+  echo "  状态:     bash ${INSTALL_DIR}/deploy/ocr-screen.sh status"
-  echo "  bash ${INSTALL_DIR}/deploy/backup.sh"
+  echo "  进入终端: screen -r ocr-worker  (Ctrl+A D 退出)"
+  echo "  重启 OCR: bash ${INSTALL_DIR}/deploy/ocr-screen.sh restart"
   echo ""
-  echo "  反向代理请自行配置，本项目不包含"
+  echo "  【Ollama — 其他电脑】"
+  echo "  地址:     ${OLLAMA_BASE_URL}"
+  echo "  模型:     ${OLLAMA_MODEL}"
+  echo "  可在「系统设置 → AI 模型」修改"
+  echo ""
+  echo "  主程序:   systemctl status grade-archive"
+  echo "  更新:     sudo bash ${INSTALL_DIR}/deploy/update.sh"
+  echo "  备份说明: docs/BACKUP.md"
+  echo "  卸载:     sudo bash ${INSTALL_DIR}/deploy/uninstall.sh"
   echo "  微信 dekun03  手机 18364911125"
   echo "=========================================="
 }
 
 main() {
-  log_info "PM2 一键部署开始"
+  log_info "一键部署开始（主程序 + OCR/GPU/screen | Ollama 外置）"
   require_root
+  setup_deploy_proxy
   check_os
+  clone_or_update_repo
+  verify_frontend_dist
   check_port
   install_base_packages
-  install_node_pm2
-  clone_or_update_repo
   generate_env
   setup_postgresql
   setup_backend
-  setup_frontend
+  setup_ocr_gpu
-  setup_gateway
+  stop_legacy_pm2
-  start_pm2
+  setup_systemd
+  setup_backup_cron
+  start_service
   wait_healthy
   print_summary
 }

deploy/ocr-common.sh

@@ -0,0 +1,122 @@
+#!/usr/bin/env bash
+# OCR Worker 共用函数：同机 GPU 识别 + screen 常驻
+OCR_SCREEN_NAME="${OCR_SCREEN_NAME:-ocr-worker}"
+OCR_PORT="${OCR_PORT:-23567}"
+
+ocr_worker_dir() {
+  echo "${INSTALL_DIR}/deploy/ocr-worker"
+}
+
+detect_ocr_use_gpu() {
+  if [[ "${OCR_USE_GPU:-auto}" == "false" ]]; then
+    echo "false"
+    return
+  fi
+  if [[ "${OCR_USE_GPU:-auto}" == "true" ]]; then
+    if ldconfig -p 2>/dev/null | grep -q libcudnn; then
+      echo "true"
+    else
+      log_warn "未检测到 cuDNN 库，GPU OCR 不可用，改用 CPU"
+      echo "false"
+    fi
+    return
+  fi
+  # auto
+  if command -v nvidia-smi >/dev/null && ldconfig -p 2>/dev/null | grep -q libcudnn; then
+    echo "true"
+  else
+    echo "false"
+  fi
+}
+
+install_ocr_worker() {
+  local worker_dir
+  worker_dir="$(ocr_worker_dir)"
+  if [[ ! -d "${worker_dir}" ]]; then
+    log_error "未找到 ${worker_dir}"
+    return 1
+  fi
+  log_info "安装/更新 OCR Worker (RapidOCR/ONNX)…"
+  chmod +x "${worker_dir}"/*.sh 2>/dev/null || true
+  OCR_PORT="${OCR_PORT}" bash "${worker_dir}/install.sh"
+}
+
+ocr_screen_running() {
+  screen -list 2>/dev/null | grep -q "\.${OCR_SCREEN_NAME}[[:space:]]"
+}
+
+start_ocr_screen() {
+  local worker_dir log_file
+  worker_dir="$(ocr_worker_dir)"
+  if [[ ! -x "${worker_dir}/.venv/bin/uvicorn" ]]; then
+    log_warn "OCR Worker 未安装，跳过 screen 启动"
+    return 1
+  fi
+  if ! command -v screen >/dev/null; then
+    log_error "未安装 screen，请 apt install screen"
+    return 1
+  fi
+
+  log_info "启动 OCR Worker → screen「${OCR_SCREEN_NAME}」(RapidOCR, 端口 ${OCR_PORT})"
+  if ocr_screen_running; then
+    screen -S "${OCR_SCREEN_NAME}" -X quit 2>/dev/null || true
+    sleep 1
+  fi
+
+  mkdir -p "${INSTALL_DIR}/logs" 2>/dev/null || true
+  log_file="${INSTALL_DIR}/logs/ocr-worker.log"
+
+  screen -dmS "${OCR_SCREEN_NAME}" bash -c "
+    cd '${worker_dir}' &&
+    export OCR_PORT='${OCR_PORT}' OCR_HOST=0.0.0.0 &&
+    exec bash run.sh >> '${log_file}' 2>&1
+  "
+  sleep 2
+  log_info "OCR 日志: ${log_file}"
+}
+
+stop_ocr_screen() {
+  if ocr_screen_running; then
+    log_info "停止 OCR screen 会话…"
+    screen -S "${OCR_SCREEN_NAME}" -X quit 2>/dev/null || true
+  fi
+}
+
+wait_ocr_healthy() {
+  local max="${1:-30}"
+  local i
+  log_info "等待 OCR 就绪（最多 ${max}×2 秒，首次加载模型较慢）…"
+  for i in $(seq 1 "${max}"); do
+    if curl -sf "http://127.0.0.1:${OCR_PORT}/health" >/dev/null 2>&1; then
+      log_info "OCR 健康检查通过 — http://127.0.0.1:${OCR_PORT}/health"
+      return 0
+    fi
+    if (( i % 5 == 0 )); then
+      echo -ne "\r${YELLOW}[INFO]${NC} 仍在等待 OCR… ${i}/${max}（可另开终端: tail -f ${INSTALL_DIR}/logs/ocr-worker.log）"
+    fi
+    sleep 2
+  done
+  echo ""
+  log_warn "OCR 尚未响应（可能仍在下载/加载模型，主程序可先继续）"
+  log_warn "稍后执行: bash ${INSTALL_DIR}/deploy/ocr-screen.sh status"
+  return 1
+}
+
+show_ocr_status() {
+  echo ""
+  echo "--- OCR Worker (screen: ${OCR_SCREEN_NAME}) ---"
+  if ocr_screen_running; then
+    echo "screen: 运行中"
+    screen -list 2>/dev/null | grep "${OCR_SCREEN_NAME}" || true
+  else
+    echo "screen: 未运行"
+  fi
+  if curl -sf "http://127.0.0.1:${OCR_PORT}/health" 2>/dev/null; then
+    echo ""
+  else
+    echo "health: 无响应 (http://127.0.0.1:${OCR_PORT}/health)"
+  fi
+  if command -v nvidia-smi >/dev/null; then
+    nvidia-smi --query-gpu=name,memory.used,memory.total,utilization.gpu --format=csv,noheader 2>/dev/null || true
+  fi
+}

deploy/ocr-screen.sh

@@ -0,0 +1,56 @@
+#!/usr/bin/env bash
+# OCR Worker screen 管理（主程序同机部署时使用）
+set -euo pipefail
+
+INSTALL_DIR="${INSTALL_DIR:-/opt/secondary-school-grade-archive}"
+
+# shellcheck source=common.sh
+source "$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/common.sh"
+# shellcheck source=ocr-common.sh
+source "$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/ocr-common.sh"
+
+usage() {
+  cat <<EOF
+用法: bash deploy/ocr-screen.sh <命令>
+
+  start    启动 OCR Worker（screen 后台，GPU 常驻）
+  stop     停止 screen 会话
+  restart  重启
+  status   查看 screen / health / GPU
+  attach   进入 screen 终端（Ctrl+A D 退出）
+
+EOF
+}
+
+cmd="${1:-status}"
+
+case "${cmd}" in
+  start)
+    start_ocr_screen
+    wait_ocr_healthy || true
+    ;;
+  stop)
+    stop_ocr_screen
+    ;;
+  restart)
+    stop_ocr_screen
+    sleep 1
+    start_ocr_screen
+    wait_ocr_healthy || true
+    ;;
+  status)
+    show_ocr_status
+    ;;
+  attach)
+    if ocr_screen_running; then
+      screen -r "${OCR_SCREEN_NAME}"
+    else
+      log_error "screen 未运行，请先: bash deploy/ocr-screen.sh start"
+      exit 1
+    fi
+    ;;
+  *)
+    usage
+    exit 1
+    ;;
+esac

deploy/ocr-worker/app.py

@@ -0,0 +1,127 @@
+"""局域网 OCR 服务：RapidOCR(ONNX)，不依赖 Paddle，避免 SIGILL/cuDNN 问题。"""
+
+import logging
+import os
+import tempfile
+from io import BytesIO
+from pathlib import Path
+
+from fastapi import FastAPI, File, Header, HTTPException, UploadFile
+from PIL import Image
+
+logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
+logger = logging.getLogger("ocr-worker")
+
+OCR_MAX_SIDE = int(os.getenv("OCR_MAX_SIDE", "1280"))
+OCR_API_KEY = os.getenv("OCR_API_KEY", "").strip()
+
+app = FastAPI(title="Grade Archive OCR Worker", version="2.0.0")
+_engine = None
+
+
+def _check_key(key: str | None) -> None:
+    if OCR_API_KEY and key != OCR_API_KEY:
+        raise HTTPException(status_code=401, detail="Invalid OCR API key")
+
+
+def get_engine():
+    global _engine
+    if _engine is None:
+        from rapidocr_onnxruntime import RapidOCR
+
+        logger.info("Loading RapidOCR (ONNX CPU)…")
+        _engine = RapidOCR()
+        logger.info("RapidOCR ready")
+    return _engine
+
+
+def _bbox_from_box(box: list) -> list[float]:
+    xs = [float(p[0]) for p in box]
+    ys = [float(p[1]) for p in box]
+    return [min(xs), min(ys), max(xs), max(ys)]
+
+
+def _scale_box(box: list, scale_x: float, scale_y: float) -> list:
+    return [[float(p[0]) * scale_x, float(p[1]) * scale_y] for p in box]
+
+
+def _prepare_image_bytes(content: bytes) -> tuple[bytes, float, float, int, int]:
+    with Image.open(BytesIO(content)) as img:
+        img = img.convert("RGB")
+        orig_w, orig_h = img.size
+        longest = max(orig_w, orig_h)
+        if longest <= OCR_MAX_SIDE:
+            buf = BytesIO()
+            img.save(buf, format="JPEG", quality=88)
+            return buf.getvalue(), 1.0, 1.0, orig_w, orig_h
+
+        ratio = OCR_MAX_SIDE / longest
+        new_w = max(1, int(orig_w * ratio))
+        new_h = max(1, int(orig_h * ratio))
+        resized = img.resize((new_w, new_h), Image.Resampling.LANCZOS)
+        buf = BytesIO()
+        resized.save(buf, format="JPEG", quality=85)
+        scale_x = orig_w / new_w
+        scale_y = orig_h / new_h
+        return buf.getvalue(), scale_x, scale_y, orig_w, orig_h
+
+
+def run_ocr_on_bytes(content: bytes) -> dict:
+    engine = get_engine()
+    image_bytes, scale_x, scale_y, orig_w, orig_h = _prepare_image_bytes(content)
+    with tempfile.NamedTemporaryFile(suffix=".jpg", delete=False) as tmp:
+        tmp.write(image_bytes)
+        tmp_path = tmp.name
+    try:
+        result, _elapsed = engine(tmp_path)
+    finally:
+        Path(tmp_path).unlink(missing_ok=True)
+
+    lines: list[dict] = []
+    if result:
+        for item in result:
+            if not item or len(item) < 2:
+                continue
+            box, text = item[0], item[1]
+            conf = float(item[2]) if len(item) > 2 else 0.0
+            if not text:
+                continue
+            if scale_x != 1.0 or scale_y != 1.0:
+                box = _scale_box(box, scale_x, scale_y)
+            lines.append(
+                {
+                    "text": str(text),
+                    "confidence": conf,
+                    "box": box,
+                    "bbox": _bbox_from_box(box),
+                }
+            )
+
+    return {
+        "text": "\n".join(line["text"] for line in lines),
+        "lines": lines,
+        "width": orig_w,
+        "height": orig_h,
+        "engine_mode": "rapidocr-onnx",
+    }
+
+
+@app.get("/health")
+def health():
+    return {"status": "ok", "engine": "rapidocr-onnxruntime"}
+
+
+@app.post("/api/ocr/regions")
+async def ocr_regions(
+    file: UploadFile = File(...),
+    x_ocr_key: str | None = Header(default=None, alias="X-OCR-Key"),
+):
+    _check_key(x_ocr_key)
+    content = await file.read()
+    if not content:
+        raise HTTPException(status_code=400, detail="Empty image")
+    try:
+        return run_ocr_on_bytes(content)
+    except Exception as exc:
+        logger.exception("OCR failed")
+        raise HTTPException(status_code=500, detail=str(exc)) from exc

deploy/ocr-worker/check.sh

@@ -0,0 +1,91 @@
+#!/usr/bin/env bash
+# OCR Worker 一键诊断
+set -uo pipefail
+
+ROOT="$(cd "$(dirname "$0")" && pwd)"
+PORT="${OCR_PORT:-23567}"
+VENV="${ROOT}/.venv"
+
+echo "========== OCR Worker 诊断 =========="
+echo "目录: ${ROOT}"
+echo "端口: ${PORT}"
+echo ""
+
+echo "--- 1. 虚拟环境 ---"
+if [[ -d "${VENV}" ]]; then
+  echo "OK  .venv 存在"
+else
+  echo "FAIL 未安装，请运行: bash install.sh"
+fi
+
+echo ""
+echo "--- 2. 端口监听 ---"
+if command -v ss >/dev/null; then
+  if ss -tln | grep -q ":${PORT} "; then
+    echo "OK  端口 ${PORT} 正在监听"
+    ss -tlnp | grep ":${PORT} " || true
+  else
+    echo "FAIL 端口 ${PORT} 无服务 — 请先启动:"
+    echo "      OCR_USE_GPU=true bash start.sh"
+    echo "  或: sudo bash install-service.sh"
+  fi
+else
+  netstat -tln 2>/dev/null | grep ":${PORT} " || echo "FAIL 端口 ${PORT} 无服务"
+fi
+
+echo ""
+echo "--- 3. HTTP 健康检查 ---"
+if command -v curl >/dev/null; then
+  resp="$(curl -sS -m 3 "http://127.0.0.1:${PORT}/health" 2>&1)" || true
+  if [[ -n "${resp}" ]]; then
+    echo "OK  ${resp}"
+  else
+    echo "FAIL curl 无响应（服务未启动或启动失败）"
+  fi
+else
+  echo "跳过（无 curl）"
+fi
+
+echo ""
+echo "--- 4. GPU ---"
+if command -v nvidia-smi >/dev/null; then
+  nvidia-smi --query-gpu=name,memory.used,memory.total --format=csv,noheader
+else
+  echo "未检测到 nvidia-smi"
+fi
+
+echo ""
+echo "--- 5. Python 依赖 ---"
+if [[ -d "${VENV}" ]]; then
+  # shellcheck disable=SC1091
+  source "${VENV}/bin/activate"
+  python3 - <<'PY' || true
+try:
+    import paddle
+    print("OK  paddle", paddle.__version__)
+except Exception as e:
+    print("FAIL paddle:", e)
+try:
+    import paddleocr
+    print("OK  paddleocr")
+except Exception as e:
+    print("FAIL paddleocr:", e)
+try:
+    import fastapi, uvicorn
+    print("OK  fastapi/uvicorn")
+except Exception as e:
+    print("FAIL fastapi:", e)
+PY
+fi
+
+echo ""
+echo "--- 6. systemd ---"
+if systemctl is-active ocr-worker &>/dev/null; then
+  systemctl status ocr-worker --no-pager -l | head -15
+elif [[ -f /etc/systemd/system/ocr-worker.service ]]; then
+  echo "服务已安装但未运行: sudo systemctl start ocr-worker"
+else
+  echo "未安装 systemd 服务（可选）: sudo bash install-service.sh"
+fi
+
+echo "===================================="

deploy/ocr-worker/install-service.sh

@@ -0,0 +1,53 @@
+#!/usr/bin/env bash
+# 注册 OCR Worker 为 systemd 服务（后台常驻）
+set -euo pipefail
+
+ROOT="$(cd "$(dirname "$0")" && pwd)"
+PORT="${OCR_PORT:-23567}"
+
+if [[ "${EUID:-$(id -u)}" -ne 0 ]]; then
+  echo "请使用 root 运行: sudo bash install-service.sh"
+  exit 1
+fi
+
+if [[ ! -d "${ROOT}/.venv" ]]; then
+  echo "请先运行: bash ${ROOT}/install.sh"
+  exit 1
+fi
+
+chmod +x "${ROOT}/start.sh" "${ROOT}/check.sh" "${ROOT}/install.sh"
+
+cat > /etc/systemd/system/ocr-worker.service <<EOF
+[Unit]
+Description=Grade Archive OCR Worker (PaddleOCR)
+After=network.target
+
+[Service]
+Type=simple
+WorkingDirectory=${ROOT}
+Environment=OCR_USE_GPU=true
+Environment=OCR_PORT=${PORT}
+Environment=OCR_HOST=0.0.0.0
+ExecStart=${ROOT}/.venv/bin/uvicorn app:app --host 0.0.0.0 --port ${PORT} --log-level info
+Restart=on-failure
+RestartSec=5
+
+[Install]
+WantedBy=multi-user.target
+EOF
+
+systemctl daemon-reload
+systemctl enable ocr-worker
+systemctl restart ocr-worker
+
+sleep 2
+echo ""
+echo "==> 服务状态:"
+systemctl status ocr-worker --no-pager -l | head -20
+
+echo ""
+echo "==> 健康检查:"
+curl -sS "http://127.0.0.1:${PORT}/health" || echo "（尚未就绪，请稍等 30 秒后重试: bash check.sh）"
+echo ""
+echo "局域网地址: http://$(hostname -I 2>/dev/null | awk '{print $1}'):${PORT}"
+echo "成绩档案系统设置 OCR 地址填: http://192.168.8.6:${PORT}  （按实际 IP 修改）"

deploy/ocr-worker/install.sh

@@ -0,0 +1,34 @@
+#!/usr/bin/env bash
+# OCR Worker 安装（RapidOCR / ONNX，无需 Paddle/GPU）
+set -euo pipefail
+
+ROOT="$(cd "$(dirname "$0")" && pwd)"
+VENV="${ROOT}/.venv"
+PORT="${OCR_PORT:-23567}"
+PIP_MIRROR="${PIP_MIRROR:-https://pypi.tuna.tsinghua.edu.cn/simple}"
+
+echo "==> OCR Worker 安装目录: ${ROOT}"
+echo "==> 引擎: RapidOCR (ONNX CPU，无需 cuDNN/GPU)"
+
+if ! command -v python3 >/dev/null; then
+  echo "错误: 请先安装 python3"
+  exit 1
+fi
+
+if [[ -d "${VENV}" ]]; then
+  echo "==> 已有虚拟环境"
+else
+  python3 -m venv "${VENV}"
+fi
+
+# shellcheck disable=SC1091
+source "${VENV}/bin/activate"
+pip install -U pip wheel -i "${PIP_MIRROR}"
+pip uninstall -y paddlepaddle paddlepaddle-gpu paddleocr 2>/dev/null || true
+pip install -r "${ROOT}/requirements.txt" -i "${PIP_MIRROR}"
+chmod +x "${ROOT}/run.sh" "${ROOT}/start.sh" 2>/dev/null || true
+
+echo ""
+python3 -c "from rapidocr_onnxruntime import RapidOCR; print('RapidOCR OK')"
+echo ""
+echo "==> 安装完成。管理: bash $(dirname "$ROOT")/ocr-screen.sh status"

deploy/ocr-worker/ocr-worker.service

@@ -0,0 +1,17 @@
+[Unit]
+Description=Grade Archive OCR Worker (PaddleOCR GPU)
+After=network.target
+
+[Service]
+Type=simple
+WorkingDirectory=/opt/ocr-worker
+Environment=OCR_USE_GPU=true
+Environment=OCR_PORT=23567
+Environment=OCR_HOST=0.0.0.0
+# Environment=OCR_API_KEY=请设置随机密钥
+ExecStart=/opt/ocr-worker/.venv/bin/uvicorn app:app --host 0.0.0.0 --port 23567
+Restart=on-failure
+RestartSec=5
+
+[Install]
+WantedBy=multi-user.target

deploy/ocr-worker/requirements.txt

@@ -0,0 +1,6 @@
+fastapi==0.115.6
+uvicorn[standard]==0.34.0
+python-multipart==0.0.20
+Pillow==11.0.0
+rapidocr-onnxruntime>=1.3.0
+onnxruntime>=1.16.0

deploy/ocr-worker/run.sh

@@ -0,0 +1,32 @@
+#!/usr/bin/env bash
+# 供 screen 会话调用：OCR 模型常驻 GPU，异常退出自动重启
+set -uo pipefail
+
+ROOT="$(cd "$(dirname "$0")" && pwd)"
+VENV="${ROOT}/.venv"
+PORT="${OCR_PORT:-23567}"
+
+export OCR_USE_GPU="${OCR_USE_GPU:-false}"
+export OCR_HOST="${OCR_HOST:-0.0.0.0}"
+
+if [[ ! -d "${VENV}" ]]; then
+  echo "错误: 请先运行 bash install.sh"
+  exit 1
+fi
+
+# shellcheck disable=SC1091
+source "${VENV}/bin/activate"
+cd "${ROOT}"
+
+echo "=========================================="
+echo " OCR Worker  |  GPU=${OCR_USE_GPU}  |  :${PORT}"
+echo " $(date -Iseconds)"
+echo " 退出 screen: Ctrl+A 然后 D"
+echo "=========================================="
+
+while true; do
+  uvicorn app:app --host "${OCR_HOST}" --port "${PORT}" --log-level info
+  code=$?
+  echo "[$(date -Iseconds)] uvicorn 退出 code=${code}，5 秒后重启…"
+  sleep 5
+done

deploy/ocr-worker/start.sh

@@ -0,0 +1,26 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+ROOT="$(cd "$(dirname "$0")" && pwd)"
+VENV="${ROOT}/.venv"
+HOST="${OCR_HOST:-0.0.0.0}"
+PORT="${OCR_PORT:-23567}"
+
+export OCR_USE_GPU="${OCR_USE_GPU:-true}"
+export OCR_HOST="${HOST}"
+export OCR_PORT="${PORT}"
+
+if [[ ! -d "${VENV}" ]]; then
+  echo "未找到虚拟环境，请先在本目录运行: bash install.sh"
+  exit 1
+fi
+
+# shellcheck disable=SC1091
+source "${VENV}/bin/activate"
+cd "${ROOT}"
+
+echo "==> 启动 OCR Worker: http://${HOST}:${PORT}  (GPU=${OCR_USE_GPU})"
+echo "    按 Ctrl+C 停止。后台运行请用: sudo bash install-service.sh"
+echo ""
+
+exec uvicorn app:app --host "${HOST}" --port "${PORT}" --log-level info

deploy/ocr-worker/test-ocr.sh

@@ -0,0 +1,24 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+ROOT="$(cd "$(dirname "$0")" && pwd)"
+PORT="${OCR_PORT:-23567}"
+TMP="/tmp/ocr-test-$$.jpg"
+
+if [[ ! -d "${ROOT}/.venv" ]]; then
+  echo "请先 bash install.sh"
+  exit 1
+fi
+
+# shellcheck disable=SC1091
+source "${ROOT}/.venv/bin/activate"
+python3 -c "from PIL import Image; Image.new('RGB',(200,80),(255,255,255)).save('${TMP}')"
+
+echo "==> GET /health"
+curl -sS "http://127.0.0.1:${PORT}/health" || { echo "FAIL: OCR 未启动"; exit 1; }
+echo ""
+
+echo "==> POST /api/ocr/regions"
+curl -sS -w "\nHTTP %{http_code}\n" -F "file=@${TMP};type=image/jpeg" \
+  "http://127.0.0.1:${PORT}/api/ocr/regions"
+rm -f "${TMP}"

deploy/proxy.sh

@@ -0,0 +1,36 @@
+#!/usr/bin/env bash
+# 部署脚本共用：读取 HTTP_PROXY / http_proxy 并配置 apt、git、pip、curl
+# 用法（install.sh / update.sh 前）：
+#   export http_proxy=http://192.168.8.246:10810
+#   export https_proxy=http://192.168.8.246:10810
+#   export HTTP_PROXY="$http_proxy"
+#   export HTTPS_PROXY="$https_proxy"
+
+setup_deploy_proxy() {
+  local proxy="${HTTP_PROXY:-${http_proxy:-}}"
+  if [[ -z "$proxy" ]]; then
+    return 0
+  fi
+
+  if [[ "$proxy" != http://* && "$proxy" != https://* && "$proxy" != socks5://* ]]; then
+    proxy="http://${proxy}"
+  fi
+
+  export http_proxy="$proxy"
+  export https_proxy="${HTTPS_PROXY:-${https_proxy:-$proxy}}"
+  export HTTP_PROXY="$http_proxy"
+  export HTTPS_PROXY="$https_proxy"
+  export ALL_PROXY="${ALL_PROXY:-$http_proxy}"
+
+  if [[ -n "${log_info:-}" ]]; then
+    log_info "使用网络代理: ${http_proxy}"
+  else
+    echo "[INFO] 使用网络代理: ${http_proxy}"
+  fi
+
+  mkdir -p /etc/apt/apt.conf.d
+  cat > /etc/apt/apt.conf.d/95grade-archive-proxy <<EOF
+Acquire::http::Proxy "${http_proxy}";
+Acquire::https::Proxy "${https_proxy}";
+EOF
+}

deploy/repair.sh

@@ -0,0 +1,41 @@
+#!/usr/bin/env bash
+#
+# 服务无法访问（连接被拒绝）时一键修复
+# 用法: sudo bash deploy/repair.sh
+#
+set -euo pipefail
+
+INSTALL_DIR="${INSTALL_DIR:-/opt/secondary-school-grade-archive}"
+
+# shellcheck source=common.sh
+source "$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/common.sh"
+# shellcheck source=ocr-common.sh
+source "$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/ocr-common.sh"
+
+require_root "deploy/repair.sh"
+
+cd "${INSTALL_DIR}" || exit 1
+find "${INSTALL_DIR}" -name "*.sh" -exec sed -i 's/\r$//' {} +
+
+log_info "开始修复 grade-archive 服务…"
+
+stop_legacy_pm2
+install_ocr_deps_safe
+if [[ -x "${INSTALL_DIR}/deploy/ocr-worker/.venv/bin/uvicorn" ]]; then
+  start_ocr_screen || log_warn "OCR screen 启动失败"
+  wait_ocr_healthy || log_warn "OCR 未就绪"
+fi
+setup_systemd_service
+restart_grade_service
+
+if wait_healthy; then
+  ip=$(hostname -I 2>/dev/null | awk '{print $1}')
+  ip="${ip:-127.0.0.1}"
+  echo ""
+  echo "=========================================="
+  echo "  修复完成，请访问: http://${ip}:${WEB_PORT}"
+  echo "=========================================="
+else
+  show_service_status
+  exit 1
+fi

deploy/restore.sh

@@ -0,0 +1,56 @@
+#!/usr/bin/env bash
+# 中学成绩档案 — 从备份包恢复（命令行，适合新服务器迁移）
+set -euo pipefail
+
+if [[ $# -lt 1 ]]; then
+  echo "用法: sudo bash deploy/restore.sh /path/to/grade-archive_YYYYMMDD_HHMMSS.tar.gz"
+  exit 1
+fi
+
+ARCHIVE="$1"
+INSTALL_DIR="${INSTALL_DIR:-/opt/secondary-school-grade-archive}"
+WORK=$(mktemp -d)
+
+cleanup() {
+  rm -rf "${WORK}"
+}
+trap cleanup EXIT
+
+if [[ ! -f "${ARCHIVE}" ]]; then
+  echo "[ERROR] 备份文件不存在: ${ARCHIVE}"
+  exit 1
+fi
+
+cd "${INSTALL_DIR}"
+# shellcheck disable=SC1090
+source .env
+
+echo "[WARN] 即将恢复数据库与 uploads，当前数据将被覆盖。"
+read -rp "确认继续？[y/N] " confirm
+if [[ "${confirm}" != "y" && "${confirm}" != "Y" ]]; then
+  echo "已取消"
+  exit 0
+fi
+
+echo "[INFO] 解压备份…"
+tar -xzf "${ARCHIVE}" -C "${WORK}"
+
+if [[ ! -f "${WORK}/database.sql" ]]; then
+  echo "[ERROR] 备份包缺少 database.sql"
+  exit 1
+fi
+
+echo "[INFO] 恢复数据库…"
+PGPASSWORD="${POSTGRES_PASSWORD}" psql -h 127.0.0.1 -U "${POSTGRES_USER}" -d "${POSTGRES_DB}" \
+  -v ON_ERROR_STOP=1 -f "${WORK}/database.sql"
+
+if [[ -d "${WORK}/uploads" ]]; then
+  echo "[INFO] 恢复 uploads…"
+  rm -rf "${INSTALL_DIR}/uploads"
+  cp -a "${WORK}/uploads" "${INSTALL_DIR}/uploads"
+fi
+
+echo "[INFO] 重启服务…"
+systemctl restart grade-archive 2>/dev/null || true
+
+echo "[INFO] 恢复完成"

deploy/start.sh

@@ -0,0 +1,21 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+ROOT="$(cd "$(dirname "$0")/.." && pwd)"
+cd "${ROOT}/backend"
+
+# shellcheck disable=SC1091
+source venv/bin/activate
+
+if [[ -f "${ROOT}/.env" ]]; then
+  set -a
+  # shellcheck disable=SC1090
+  source "${ROOT}/.env"
+  set +a
+fi
+
+export FRONTEND_DIST="${FRONTEND_DIST:-${ROOT}/frontend/dist}"
+export UPLOAD_DIR="${UPLOAD_DIR:-${ROOT}/uploads}"
+export OPENCV_IO_ENABLE_OPENEXR=0
+
+exec python -m uvicorn app.main:app --host 0.0.0.0 --port "${WEB_PORT:-23566}"

deploy/uninstall.sh

@@ -1,11 +1,124 @@
 #!/usr/bin/env bash
+#
+# 卸载中学成绩档案系统（停止服务 + 可选删除数据/目录）
+# 用法:
+#   sudo bash deploy/uninstall.sh              # 停止服务，保留代码/数据库/上传
+#   sudo bash deploy/uninstall.sh --purge        # 额外删除 /opt/secondary-school-grade-archive
+#   sudo bash deploy/uninstall.sh --purge-db     # 额外删除 PostgreSQL 库与用户
+#   sudo bash deploy/uninstall.sh --purge --purge-db  # 完全清除后重装
+#
 set -euo pipefail
 
 INSTALL_DIR="${INSTALL_DIR:-/opt/secondary-school-grade-archive}"
+OCR_SCREEN_NAME="${OCR_SCREEN_NAME:-ocr-worker}"
 
-cd "${INSTALL_DIR}" || exit 1
+RED='\033[0;31m'
+GREEN='\033[0;32m'
+YELLOW='\033[1;33m'
+NC='\033[0m'
+
+log_info()  { echo -e "${GREEN}[INFO]${NC} $*"; }
+log_warn()  { echo -e "${YELLOW}[WARN]${NC} $*"; }
+log_error() { echo -e "${RED}[ERROR]${NC} $*" >&2; }
+
+PURGE_DIR=0
+PURGE_DB=0
+for arg in "$@"; do
+  case "${arg}" in
+    --purge) PURGE_DIR=1 ;;
+    --purge-db) PURGE_DB=1 ;;
+    -h|--help)
+      sed -n '2,8p' "$0"
+      exit 0
+      ;;
+  esac
+done
+
+if [[ "${EUID:-$(id -u)}" -ne 0 ]]; then
+  log_error "请使用 root: sudo bash deploy/uninstall.sh"
+  exit 1
+fi
+
+if [[ -f "${INSTALL_DIR}/.env" ]]; then
+  # shellcheck disable=SC1090
+  set -a && source "${INSTALL_DIR}/.env" && set +a
+fi
+
+POSTGRES_USER="${POSTGRES_USER:-gradeapp}"
+POSTGRES_DB="${POSTGRES_DB:-student_archive}"
+
+echo ""
+echo "=========================================="
+echo "  卸载中学成绩档案系统"
+echo "=========================================="
+echo "  安装目录: ${INSTALL_DIR}"
+echo "  删除目录: $([[ ${PURGE_DIR} -eq 1 ]] && echo 是 || echo 否（保留）)"
+echo "  删除数据库: $([[ ${PURGE_DB} -eq 1 ]] && echo 是 || echo 否（保留）)"
+echo "=========================================="
+echo ""
+
+if [[ -t 0 ]]; then
+  read -rp "确认继续? [y/N] " confirm
+  if [[ "${confirm}" != [yY] ]]; then
+    echo "已取消"
+    exit 0
+  fi
+fi
+
+log_info "停止主程序 systemd…"
+systemctl stop grade-archive 2>/dev/null || true
+systemctl disable grade-archive 2>/dev/null || true
+rm -f /etc/systemd/system/grade-archive.service
+systemctl daemon-reload
+
+log_info "停止 OCR Worker systemd（若曾安装）…"
+systemctl stop ocr-worker 2>/dev/null || true
+systemctl disable ocr-worker 2>/dev/null || true
+rm -f /etc/systemd/system/ocr-worker.service
+systemctl daemon-reload
+
+log_info "停止 OCR screen 会话…"
+if command -v screen >/dev/null; then
+  screen -S "${OCR_SCREEN_NAME}" -X quit 2>/dev/null || true
+fi
+
+log_info "停止旧版 PM2（若存在）…"
+if command -v pm2 >/dev/null; then
   pm2 delete grade-api grade-web 2>/dev/null || true
-pm2 save --force
+  pm2 save --force 2>/dev/null || true
+fi
 
-echo "PM2 服务已停止。PostgreSQL 数据与 ${INSTALL_DIR}/uploads 仍保留。"
+if [[ ${PURGE_DB} -eq 1 ]]; then
-echo "如需删除源码: rm -rf ${INSTALL_DIR}"
+  if command -v psql >/dev/null && systemctl is-active postgresql &>/dev/null; then
+    log_info "删除 PostgreSQL 数据库 ${POSTGRES_DB}…"
+    sudo -u postgres psql -c "DROP DATABASE IF EXISTS \"${POSTGRES_DB}\";" 2>/dev/null || true
+    sudo -u postgres psql -c "DROP USER IF EXISTS \"${POSTGRES_USER}\";" 2>/dev/null || true
+  else
+    log_warn "PostgreSQL 未运行，跳过删库"
+  fi
+fi
+
+if [[ ${PURGE_DIR} -eq 1 ]]; then
+  log_info "删除安装目录 ${INSTALL_DIR}…"
+  rm -rf "${INSTALL_DIR}"
+else
+  log_info "保留安装目录（含 uploads、.env、数据库文件若未 --purge-db）"
+fi
+
+echo ""
+echo "=========================================="
+echo "  卸载完成"
+echo "=========================================="
+if [[ ${PURGE_DIR} -eq 0 ]]; then
+  echo "  代码仍在: ${INSTALL_DIR}"
+  echo "  重新部署:"
+  echo "    cd ${INSTALL_DIR} && git pull"
+  echo "    export OLLAMA_BASE_URL=http://Ollama电脑IP:11434"
+  echo "    sudo bash deploy/install.sh"
+else
+  echo "  重新部署（全新）:"
+  echo "    export OLLAMA_BASE_URL=http://Ollama电脑IP:11434"
+  echo "    sudo bash deploy/install.sh"
+  echo "  （install.sh 会自动 git clone 到 ${INSTALL_DIR}）"
+fi
+echo "=========================================="

deploy/update.sh

@@ -4,39 +4,55 @@ set -euo pipefail
 INSTALL_DIR="${INSTALL_DIR:-/opt/secondary-school-grade-archive}"
 BRANCH="${BRANCH:-main}"
 PIP_MIRROR="${PIP_MIRROR:-https://pypi.tuna.tsinghua.edu.cn/simple}"
-NPM_REGISTRY="${NPM_REGISTRY:-https://registry.npmmirror.com}"
 
-GREEN='\033[0;32m'
+# shellcheck source=common.sh
-NC='\033[0m'
+source "$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/common.sh"
-log_info() { echo -e "${GREEN}[INFO]${NC} $*"; }
+# shellcheck source=proxy.sh
+source "$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/proxy.sh"
+# shellcheck source=ocr-common.sh
+source "$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/ocr-common.sh"
+
+require_root "deploy/update.sh"
 
 cd "${INSTALL_DIR}" || exit 1
 find "${INSTALL_DIR}" -name "*.sh" -exec sed -i 's/\r$//' {} +
+chmod +x deploy/start.sh deploy/ocr-screen.sh deploy/install-ocr-deps.sh deploy/repair.sh
+chmod +x deploy/ocr-worker/*.sh 2>/dev/null || true
+
+setup_deploy_proxy
 
 log_info "拉取最新代码…"
 git fetch origin
 git checkout "${BRANCH}" 2>/dev/null || true
 git pull origin "${BRANCH}"
 
-log_info "更新后端依赖…"
+if [[ ! -f "${INSTALL_DIR}/frontend/dist/index.html" ]]; then
+  log_error "未找到 frontend/dist/index.html"
+  exit 1
+fi
+
+log_info "更新主程序依赖…"
 cd backend
 source venv/bin/activate
 pip install -r requirements.txt --progress-bar on -i "${PIP_MIRROR}"
 deactivate
-
-log_info "重建前端…"
-cd ../frontend
-npm config set registry "${NPM_REGISTRY}"
-npm ci
-npm run build
-
-log_info "更新网关…"
-cd ../deploy/pm2
-npm ci
-
-log_info "重启 PM2…"
 cd "${INSTALL_DIR}"
-pm2 reload deploy/pm2/ecosystem.config.cjs --update-env || pm2 start deploy/pm2/ecosystem.config.cjs
+
-pm2 save
+log_info "更新 OCR Worker 并重启 screen…"
+install_ocr_worker
+stop_ocr_screen
+start_ocr_screen
+wait_ocr_healthy || log_warn "OCR 加载中，稍后: bash deploy/ocr-screen.sh status"
+
+stop_legacy_pm2
+install_ocr_deps_safe
+setup_systemd_service
+restart_grade_service
+
+if ! wait_healthy; then
+  log_error "更新后主程序异常，可尝试: sudo bash ${INSTALL_DIR}/deploy/repair.sh"
+  exit 1
+fi
 
 log_info "更新完成"
+show_ocr_status

docs/BACKUP.md

@@ -0,0 +1,109 @@
+# 数据备份与恢复
+
+> **中学成绩档案系统** · 备份目录默认 `/root/grade-archive-backups`
+
+---
+
+## 1. 备份内容
+
+每次备份生成一个压缩包 `grade-archive_YYYYMMDD_HHMMSS.tar.gz`，包含：
+
+| 文件/目录 | 说明 |
+|-----------|------|
+| `database.sql` | PostgreSQL 全库导出（含 `--clean`，可覆盖恢复） |
+| `uploads/` | 错题图片、学生头像等上传文件 |
+| `manifest.json` | 备份元信息（时间、库名） |
+
+---
+
+## 2. 自动备份
+
+- **目录**：`/root/grade-archive-backups`（可通过 `.env` 中 `BACKUP_DIR` 修改）
+- **频率**：应用启动后每 **24 小时**自动备份一次（`AUTO_BACKUP_INTERVAL_HOURS=24`）
+- **保留**：默认保留最近 **30 天**（`BACKUP_RETENTION_DAYS=30`）
+- **系统 cron**（可选，安装脚本会写入）：每天凌晨 3:00 执行 `deploy/backup.sh`
+
+### 环境变量（`.env`）
+
+```env
+BACKUP_DIR=/root/grade-archive-backups
+BACKUP_RETENTION_DAYS=30
+AUTO_BACKUP_INTERVAL_HOURS=24
+```
+
+---
+
+## 3. 手动备份（服务器命令行）
+
+```bash
+sudo BACKUP_DIR=/root/grade-archive-backups \
+  bash /opt/secondary-school-grade-archive/deploy/backup.sh
+```
+
+备份文件位于 `/root/grade-archive-backups/`。
+
+---
+
+## 4. 系统设置中下载备份
+
+1. 使用超级管理员登录
+2. 进入 **系统设置 → 数据备份**
+3. 点击 **立即备份** 或等待自动备份
+4. 在列表中点击 **下载** 保存 `.tar.gz` 到本地
+
+---
+
+## 5. 更换服务器 — 数据恢复
+
+### 方式 A：Web 界面（推荐）
+
+1. 在新服务器完成 `deploy/install.sh` 并 `git pull` 到最新版本
+2. 超级管理员登录 → **系统设置 → 数据备份**
+3. 在「数据恢复」区域上传旧服务器下载的 `grade-archive_*.tar.gz`
+4. 恢复成功后建议执行：`sudo systemctl restart grade-archive`
+
+### 方式 B：命令行
+
+1. 将备份包复制到新服务器，例如 `/root/grade-archive_20260628_030000.tar.gz`
+2. 执行：
+
+```bash
+sudo bash /opt/secondary-school-grade-archive/deploy/restore.sh \
+  /root/grade-archive_20260628_030000.tar.gz
+```
+
+3. 按提示确认后，脚本会恢复数据库与 `uploads/`，并尝试重启服务
+
+---
+
+## 6. 迁移检查清单
+
+- [ ] 旧服务器下载最新备份包
+- [ ] 新服务器安装系统（`install.sh`）并配置 Ollama / OCR 地址
+- [ ] 上传备份并恢复
+- [ ] 验证学生资料、成绩、错题图片、头像是否正常
+- [ ] 确认 `.env` 中 `OLLAMA_BASE_URL`、`OCR_SERVICE_URL` 符合新环境
+
+---
+
+## 7. 注意事项
+
+- **恢复会覆盖**当前数据库与 `uploads` 目录，操作前请先备份当前数据
+- 备份与恢复需要服务器已安装 `pg_dump` / `psql`（安装脚本已包含 PostgreSQL）
+- 备份目录在 `/root` 下，仅 root 可读写；应用以 systemd 运行时需确保 `BACKUP_DIR` 对运行用户可写，或保持默认由 root cron / 管理员 API 触发
+- 学生头像、学校、年级等资料保存在数据库 `students` 表中，随数据库一并备份
+
+---
+
+## 8. 学生资料字段说明
+
+| 字段 | 说明 |
+|------|------|
+| 姓名 | 必填 |
+| 学校 | 可选，显示在卡片与详情 |
+| 学段 | 初中 / 高中 |
+| 年级 | 初一～初三 或 高一～高三（带明确标识） |
+| 班级 | 如 `3` 或 `3班` |
+| 头像 | 保存在 `uploads/{用户ID}/avatars/{学生ID}.jpg` |
+
+在学生详情页 **设置** Tab 或首页卡片 **修改** 中维护；首页卡片支持 **删除**。

docs/DEPLOY.md

@@ -1,4 +1,4 @@
-# Ubuntu PM2 部署文档
+# Ubuntu 零 Node 部署文档
 
 > **中学成绩档案系统** · 版权所有 © 马建军 · 微信 **dekun03** · 手机 **18364911125**  
 > 仓库：[https://git.bz121.com/dekun/secondary-school-grade-archive.git](https://git.bz121.com/dekun/secondary-school-grade-archive.git)
@@ -9,41 +9,114 @@
 
 | 项目 | 说明 |
 |------|------|
-| 方式 | **PM2**（非 Docker） |
+| 方式 | **systemd + FastAPI 单进程**（服务器**无需** Node.js / npm） |
 | 系统 | Ubuntu 20.04 / 22.04 / 24.04 |
 | 用户 | **root** |
 | 目录 | `/opt/secondary-school-grade-archive` |
-| 端口 | **23566** 对外 Web；**23568** 内部 API（仅本机） |
+| 端口 | **23566**（API + 前端静态资源同一端口） |
-| 反向代理 | **不包含**，请自行配置 |
 
 ### 架构
 
 ```
-浏览器 → :23566 (PM2: grade-web, Express 静态 + /api 反代)
+浏览器 → :23566 (systemd: grade-archive, Uvicorn)
-              └──→ 127.0.0.1:23568 (PM2: grade-api, Uvicorn)
+              ├── /api/*     → FastAPI 接口
+              └── /*         → frontend/dist 静态文件
                         └──→ PostgreSQL (本机)
                         └──→ uploads/
                         └──→ Ollama (本机可选, :11434)
 ```
 
-PM2 进程：
+### 为何不在服务器构建前端？
 
-| 名称 | 说明 |
+前端 `npm ci && npm run build` 会占用大量磁盘与内存，且需在服务器安装 Node.js。  
-|------|------|
+因此采用 **开发机构建 → 推送 `frontend/dist` → 服务器只拉取** 的方式，服务器仅需 Python + PostgreSQL。
-| `grade-api` | FastAPI / Uvicorn |
-| `grade-web` | 前端静态资源 + `/api` 反向代理 |
 
 ---
 
-## 2. 环境要求
+## 2. 代码修改与发布流程（重要）
 
-- CPU 2 核+，内存 4 GB+（OCR 建议 8 GB）
+每次修改代码后，按改动范围在**开发机**操作，再推送到远端仓库，最后在服务器执行 `update.sh`。
-- 磁盘 15 GB+
+
-- 可访问 Git 仓库与 npm / PyPI
+> **服务器需代理时**：在 `update.sh` 前设置与 [§3 一键部署](#3-一键部署新服务器) 相同的 `export http_proxy=...` 命令。
+
+### 流程总览
+
+```
+┌─────────────┐    ┌──────────────────┐    ┌─────────────┐    ┌─────────────────┐
+│ 开发机改代码 │ → │ 本地构建（如需） │ → │ git push 远端 │ → │ 服务器 update.sh │
+└─────────────┘    └──────────────────┘    └─────────────┘    └─────────────────┘
+```
+
+### 2.1 仅修改后端（`backend/`）
+
+不涉及前端页面时，**无需** `npm run build`：
+
+```bash
+git add backend/
+git commit -m "fix: 说明本次改动"
+git push
+```
+
+服务器：
+
+```bash
+bash /opt/secondary-school-grade-archive/deploy/update.sh
+```
+
+`update.sh` 会：`git pull` → `pip install` → `systemctl restart grade-archive`。
+
+### 2.2 修改前端（`frontend/src` 等）或同时改前后端
+
+**必须先在开发机构建**，并将构建产物 `frontend/dist/` 提交到仓库：
+
+```powershell
+# Windows
+.\deploy\build-frontend.ps1
+```
+
+```bash
+# Linux / macOS
+bash deploy/build-frontend.sh
+```
+
+上述脚本等价于 `cd frontend && npm ci && npm run build`，并检查 `dist/index.html` 是否生成。
+
+然后提交并推送（**务必包含 `frontend/dist`**）：
+
+```bash
+git add frontend/ frontend/dist
+git commit -m "feat: 说明本次改动"
+git push
+```
+
+服务器：
+
+```bash
+bash /opt/secondary-school-grade-archive/deploy/update.sh
+```
+
+### 2.3 常见错误
+
+| 现象 | 原因 | 处理 |
+|------|------|------|
+| 服务器页面没变化 | 只 push 了源码，未 push `frontend/dist` | 本地 `npm run build` 后重新提交 dist |
+| `install.sh` 报错找不到 dist | 仓库里没有预构建的 dist | 开发机构建并 push 后再部署 |
+| API 正常但页面 404 | `FRONTEND_DIST` 路径不对 | 检查 `.env` 中 `FRONTEND_DIST` |
 
 ---
 
-## 3. 一键部署
+## 3. 一键部署（新服务器）
+
+若服务器访问 Git / apt / PyPI 需走代理，**在 `bash deploy/install.sh` 之前**设置：
+
+```bash
+export http_proxy=http://192.168.8.246:10810
+export https_proxy=http://192.168.8.246:10810
+export HTTP_PROXY="$http_proxy"
+export HTTPS_PROXY="$https_proxy"
+```
+
+完整安装命令：
 
 ```bash
 git clone https://git.bz121.com/dekun/secondary-school-grade-archive.git /opt/secondary-school-grade-archive
@@ -52,122 +125,141 @@ chmod +x deploy/*.sh
 bash deploy/install.sh
 ```
 
+> 脚本会读取上述环境变量，并自动配置 `apt` 代理。`git pull`、`pip install` 同样生效。内网直连时可不设代理。
+
 脚本自动完成：
 
-1. 检测 root、Ubuntu、端口 23566  
+1. 安装 PostgreSQL、Python 依赖  
-2. 安装 PostgreSQL、Python3、Node.js 20、PM2  
+2. 检查 `frontend/dist/index.html` 是否存在  
-3. 克隆/更新代码  
+3. 生成 `.env`、创建数据库  
-4. 生成 `.env`（随机密钥、数据库密码）  
+4. 注册并启动 systemd 服务 `grade-archive`  
-5. 创建 PostgreSQL 用户与数据库  
+
-6. Python 虚拟环境 + `pip install`  
+**前提：** 仓库中已包含 `frontend/dist/`（开发机构建后推送）。
-7. 前端 `npm ci && npm run build`  
-8. `pm2 start` 并设置开机自启  
 
 部署成功后访问：**`http://<服务器IP>:23566`**
 
+默认超级管理员：**admin / admin123**（登录后请在「系统设置」中修改）
+
 ---
 
 ## 4. 环境变量（`.env`）
 
 | 变量 | 默认 | 说明 |
 |------|------|------|
-| `WEB_PORT` | 23566 | 对外 Web 端口 |
+| `WEB_PORT` | 23566 | 对外端口 |
-| `API_PORT` | 23568 | 内部 API 端口（仅本机，勿与 8000 等常用端口冲突） |
+| `FRONTEND_DIST` | `.../frontend/dist` | 前端静态目录（绝对路径） |
-| `API_TARGET` | `http://127.0.0.1:23568` | Web 网关转发目标 |
 | `DATABASE_URL` | 自动生成 | PostgreSQL 连接 |
 | `SECRET_KEY` | 自动生成 | JWT 密钥 |
 | `UPLOAD_DIR` | `.../uploads` | 错题图片目录 |
-| `OLLAMA_BASE_URL` | `http://127.0.0.1:11434` | 本地 Ollama |
+| `ADMIN_DEFAULT_USERNAME` | admin | 首次安装默认管理员用户名 |
+| `ADMIN_DEFAULT_PASSWORD` | admin123 | 首次安装默认管理员密码 |
 
-修改后重启：
+示例见仓库根目录 [.env.example](../.env.example)。
-
-```bash
-cd /opt/secondary-school-grade-archive
-pm2 reload deploy/pm2/ecosystem.config.cjs --update-env
-```
 
 ---
 
 ## 5. 常用命令
 
 ```bash
-cd /opt/secondary-school-grade-archive
+# 服务状态
+systemctl status grade-archive
 
-pm2 status                 # 进程状态
+# 实时日志
-pm2 logs                   # 全部日志
+journalctl -u grade-archive -f
-pm2 logs grade-api         # 后端日志
-pm2 logs grade-web         # 网关日志
 
-bash deploy/update.sh      # 拉代码 + 重建 + 重启
+# 拉代码并重启（日常更新；需代理时先 export，见 §3）
-bash deploy/backup.sh      # 备份数据库与 uploads
+export http_proxy=http://192.168.8.246:10810
-bash deploy/uninstall.sh   # 停止 PM2 服务
+export https_proxy=http://192.168.8.246:10810
+export HTTP_PROXY="$http_proxy"
+export HTTPS_PROXY="$https_proxy"
+bash /opt/secondary-school-grade-archive/deploy/update.sh
+
+# 备份数据库与 uploads
+bash /opt/secondary-school-grade-archive/deploy/backup.sh
 ```
 
 ---
 
-## 6. Ollama（可选）
+## 6. 从旧版 PM2 迁移
 
-```bash
+若之前使用 `grade-api` + `grade-web`（PM2 + Express），执行 `deploy/update.sh` 会：
-curl -fsSL https://ollama.com/install.sh | sh
+
-ollama pull qwen2.5:7b
+- 停止并删除 PM2 进程 `grade-api`、`grade-web`  
-```
+- 重启 systemd 服务 `grade-archive`  
+
+`.env` 调整建议：
+
+- 保留 `WEB_PORT=23566`  
+- 添加 `FRONTEND_DIST=/opt/secondary-school-grade-archive/frontend/dist`  
+- 可删除 `API_PORT`、`API_TARGET`（已不再使用）
 
 ---
 
-## 7. 反向代理（自行配置）
+## 7. 超级管理员
 
-将域名/HTTPS 流量转发到 **`http://127.0.0.1:23566`** 即可。  
+| 功能 | 说明 |
-使用 HTTPS 后请更新 `.env` 中 `CORS_ORIGINS`。
-
----
-
-## 8. 防火墙
-
-```bash
-ufw allow 22/tcp
-ufw allow 23566/tcp
-ufw enable
-```
-
----
-
-## 9. 故障排查
-
-| 现象 | 处理 |
 |------|------|
-| 无法访问 | `pm2 status` · `ss -tlnp \| grep 23566` |
+| 默认账号 | **admin / admin123**（首次安装后请立即修改） |
-| 502 / API 错误 | `pm2 logs grade-api` |
+| 系统设置 | 超级管理员可修改自己的用户名、密码 |
-| 数据库连接失败 | `systemctl status postgresql` · 检查 `.env` 中 `DATABASE_URL` |
+| 注册开关 | 可开启/关闭登录页公开注册 |
-| 前端空白 | 确认 `frontend/dist` 存在 · `pm2 logs grade-web` |
+| 用户管理 | 注册关闭时，由管理员添加用户并重置密码 |
+| 普通用户 | **不能**自行修改用户名和密码 |
+
+使用说明见 [USAGE.md](./USAGE.md)。
 
 ---
 
-## 10. 自定义参数
+## 8. 反向代理（用户自行配置）
 
-```bash
+本项目**不包含** Nginx / Caddy 等反向代理配置。若需 HTTPS 或域名访问，请在服务器上自行配置，将流量转发到 `127.0.0.1:23566`。
-WEB_PORT=23566 INSTALL_DIR=/opt/secondary-school-grade-archive bash deploy/install.sh
-
-# 使用官方 PyPI（海外服务器可去掉国内镜像）
-PIP_MIRROR=https://pypi.org/simple bash deploy/install.sh
-```
-
-### 网络代理（可选，脚本内不内置）
-
-一键部署**不会**自动配置代理。无代理环境可直接运行，不会因代理报错。
-
-若本机网络需走代理，请在**执行安装前**手动 export（仅当前终端生效）：
-
-```bash
-export HTTP_PROXY=http://你的代理地址:端口
-export HTTPS_PROXY=http://你的代理地址:端口
-bash deploy/install.sh
-```
-
-不设置则不走代理。`pip install` 会**显示完整下载/安装进度**，不再静默。
 
 ---
 
-## 11. 版权
+## 9. OCR 报错 libGL.so.1
 
-见 [LICENSE](../LICENSE) · [COPYRIGHT.md](../COPYRIGHT.md)  
+若错题识别失败并提示 `libGL.so.1: cannot open shared object file`，说明服务器缺少 OpenGL 运行库（PaddleOCR/OpenCV 需要）。
-技术支持：微信 **dekun03** · 手机 **18364911125**
+
+在服务器执行：
+
+```bash
+cd /opt/secondary-school-grade-archive
+git pull
+sudo bash deploy/install-ocr-deps.sh
+sudo systemctl restart grade-archive
+```
+
+或执行完整更新（已包含 OCR 依赖检查）：
+
+```bash
+sudo bash deploy/update.sh
+```
+
+---
+
+## 10. 更新后无法访问（连接被拒绝）
+
+若浏览器提示 **ERR_CONNECTION_REFUSED**，通常是 `update.sh` 停止了旧 PM2，但 **systemd 服务未成功启动**。
+
+在服务器执行一键修复：
+
+```bash
+cd /opt/secondary-school-grade-archive
+git pull
+sudo bash deploy/repair.sh
+```
+
+手动排查：
+
+```bash
+systemctl status grade-archive
+journalctl -u grade-archive -n 50 --no-pager
+ss -tlnp | grep 23566
+```
+
+> **注意：** `update.sh` / `repair.sh` 必须用 **root** 运行（`sudo bash ...`）。
+
+---
+
+## 11. 技术支持
+
+微信 **dekun03** · 手机 **18364911125**

docs/USAGE.md

@@ -16,7 +16,7 @@
 - 错题库：拍照上传 → OCR 识别 → AI 生成解法（可编辑）  
 - 成绩 CSV 导出  
 
-部署方式见 [DEPLOY.md](./DEPLOY.md)（PM2，端口 23566）。
+部署与代码发布见 [DEPLOY.md](./DEPLOY.md)（systemd 零 Node，端口 **23566**）。
 
 ---
 
@@ -25,12 +25,23 @@
 ### 2.1 登录与注册
 
 1. 浏览器打开 `http://<服务器IP>:23566`  
-2. 首次使用点击 **注册**，设置用户名（≥3 字符）和密码（≥6 字符）  
+2. **首次部署**默认超级管理员：**admin / admin123**（请登录后立即修改）  
-3. 注册成功后自动登录  
+3. 若管理员已**开放注册**，可在登录页 **注册** 新账号（用户名 ≥3 字符，密码 ≥6 字符）  
+4. 若管理员已**关闭注册**，登录页不显示注册入口，需联系管理员在「系统设置 → 用户管理」中添加账号  
 
-> 系统无默认管理员账号，首个注册用户即为普通用户，数据仅本人可见。
+> 普通用户数据仅本人可见；普通用户**不能**自行修改用户名或密码。
 
-### 2.2 添加学生
+### 2.2 系统设置（超级管理员）
+
+首页右上角 **系统设置**（仅超级管理员可见）：
+
+| 功能 | 说明 |
+|------|------|
+| 注册开关 | 开启后用户可自行注册；关闭后仅管理员添加用户 |
+| 管理员账号 | 修改超级管理员的用户名、密码（修改密码需输入当前密码） |
+| 用户管理 | 添加用户、重置密码、删除普通用户 |
+
+### 2.3 添加学生
 
 1. 首页点击 **添加学生**  
 2. 填写：
@@ -40,7 +51,7 @@
    - **班级**：如「3班」（可选）
 3. 保存后在卡片上可看到学段标签  
 
-### 2.3 录入成绩
+### 2.4 录入成绩
 
 进入学生详情 → **成绩录入** 标签：
 
@@ -88,18 +99,33 @@
 
 ## 4. 错题库
 
-### 4.1 上传错题
+### 4.1 上传错题（手机 / 平板）
 
-进入 **错题库** 标签：
+进入 **错题库** 或 **奥数区** 标签：
 
 1. 选择 **科目**  
-2. 点击 **上传错题图片**（支持 jpg/png/webp，最大 10MB）  
+2. 点击 **拍照上传** 或 **相册选图**  
-3. 上传后后台自动：**OCR 识别 → AI 整理题目 → 生成解法**  
+3. 上传后自动：**OCR 识别 → 照片上红框标注错误位置 → 整理题目 → 生成「解题思路」与详细解答**  
-4. 处理状态：处理中 → 已识别 → 已生成解法  
 
-> AI 解法依赖服务器上的 **Ollama**。未配置时仍可 OCR，解法需手动填写。
+> 标注效果类似作业帮：错误作答处显示红色框和 × 标记。详情页可切换「标注图 / 原图」。
 
-### 4.2 查看与编辑
+### 4.2 奥数区
+
+学生详情页 **奥数区** 标签专门存放奥数题：
+
+- 按学生**学段**（初中 / 高中）生成奥数解题思路  
+- **严禁超纲**：初中不用高中/大学方法，高中不用大学高阶理论  
+- 上传方式与错题库相同，支持拍照  
+
+### 4.3 解题 AI 与学段约束
+
+- **错题库**：按初中/高中**课内**标准解题，禁止超纲  
+- **奥数区**：按对应学段**奥数培优**范围解题  
+- 超级管理员可在 **系统设置 → AI 模型** 中选择：
+  - **本地 Ollama**（地址 + 模型名）
+  - **OpenAI 兼容 API**（Base URL + 模型 + API Key）
+
+### 4.4 查看与编辑
 
 点击错题卡片打开详情：
 
@@ -111,7 +137,7 @@
 
 > 解法标注「AI 生成，请核对」，使用前请人工确认。
 
-### 4.3 筛选与搜索
+### 4.5 筛选与搜索
 
 - 按 **科目** 筛选  
 - **搜索** 题目/解法关键词  
@@ -130,13 +156,49 @@
 
 ---
 
-## 7. 常见问题
+## 7. 维护人员：修改代码后如何更新线上
+
+**服务器不在本地构建前端。** 维护或二次开发时，请严格按以下流程发布：
+
+### 只改后端
+
+```bash
+git add backend/
+git commit -m "说明"
+git push
+# 服务器
+bash /opt/secondary-school-grade-archive/deploy/update.sh
+```
+
+### 改前端（或前后端都改）
+
+```powershell
+# Windows：先构建
+.\deploy\build-frontend.ps1
+```
+
+```bash
+# Linux / macOS：先构建
+bash deploy/build-frontend.sh
+
+git add frontend/ frontend/dist
+git commit -m "说明"
+git push
+# 服务器
+bash /opt/secondary-school-grade-archive/deploy/update.sh
+```
+
+详细说明见 [DEPLOY.md §2](./DEPLOY.md#2-代码修改与发布流程重要) 与 [README](../README.md#修改代码后如何发布必读)。
+
+---
+
+## 8. 常见问题
 
 **Q：忘记密码怎么办？**  
-A：当前版本无找回密码功能，需管理员在数据库中重置或重新注册（生产环境建议后续增加找回流程）。
+A：普通用户请联系超级管理员，在「系统设置 → 用户管理」中重置密码。超级管理员忘记密码需通过数据库或 `.env` 中的 `ADMIN_DEFAULT_*` 配合运维处理。
 
 **Q：多人能否共用一台服务器？**  
-A：可以。每人注册独立账号，数据互不可见。
+A：可以。每人独立账号，数据互不可见。
 
 **Q：能否同时管理初中和高中孩子？**  
 A：可以。添加学生时分别选择学段即可。
@@ -145,11 +207,14 @@ A：可以。添加学生时分别选择学段即可。
 A：可以。使用同一服务器地址与账号登录即可。
 
 **Q：HTTPS 和域名怎么配置？**  
-A：本项目不包含反向代理配置，请参考 [DEPLOY.md 第 7 节](./DEPLOY.md#7-反向代理用户自行配置) 自行设置。
+A：本项目不包含反向代理配置，请参考 [DEPLOY.md §8](./DEPLOY.md#8-反向代理用户自行配置) 自行设置。
+
+**Q：改了代码但服务器页面没变化？**  
+A：很可能未在开发机执行 `npm run build` 或未将 `frontend/dist` 推送到仓库。见上文第 7 节。
 
 ---
 
-## 8. 技术支持与版权
+## 9. 技术支持与版权
 
 | 项目 | 内容 |
 |------|------|

frontend/.gitignore

@@ -8,7 +8,7 @@ pnpm-debug.log*
 lerna-debug.log*
 
 node_modules
-dist
+# dist 由开发机构建后提交，供服务器零 Node 部署使用
 dist-ssr
 *.local
 

frontend/dist/assets/index-BSTLtBBx.css

@@ -0,0 +1 @@
+*{box-sizing:border-box}body{-webkit-font-smoothing:antialiased;-webkit-tap-highlight-color:transparent;background:#f5f5f5;margin:0;font-family:-apple-system,BlinkMacSystemFont,Segoe UI,Roboto,Helvetica Neue,Arial,sans-serif}#root{min-height:100dvh}a{color:inherit}.page-container{max-width:1100px;padding:16px 16px 32px;padding-bottom:max(32px, env(safe-area-inset-bottom));margin:0 auto}.page-header{width:100%;margin-bottom:16px}.student-tabs .ant-tabs-nav{margin-bottom:12px}.wq-grid{grid-template-columns:repeat(auto-fill,minmax(min(100%,260px),1fr));gap:16px;display:grid}.wq-card{background:#fff;border:1px solid #f0f0f0;border-radius:8px;flex-direction:column;transition:box-shadow .2s;display:flex;overflow:hidden}.wq-card-click{cursor:pointer;flex:1}.wq-card-click:active{opacity:.95}.wq-card-actions{text-align:right;border-top:1px solid #f5f5f5;padding:4px 8px 8px}.wq-card-img{object-fit:cover;background:#fafafa;width:100%;height:140px}.wq-card-body{padding:12px}.upload-actions .ant-btn{min-height:44px}.upload-mobile-only{display:none}.upload-desktop-only{display:inline-flex}@media (width<=768px){.page-container{padding:12px 12px 24px}.ant-tabs-tab{font-size:14px;padding:8px 10px!important}.ant-modal{max-width:calc(100vw - 16px)!important;margin:8px auto!important}.ant-table{font-size:12px}.upload-actions{width:100%}.upload-mobile-only{flex-wrap:wrap;gap:8px;width:100%;display:inline-flex}.upload-desktop-only{display:none}.upload-actions .ant-btn{flex:1;min-width:120px}}@media (width<=576px){.wq-card-img{height:120px}}

frontend/dist/icons.svg

@@ -0,0 +1,24 @@
+<svg xmlns="http://www.w3.org/2000/svg">
+  <symbol id="bluesky-icon" viewBox="0 0 16 17">
+    <g clip-path="url(#bluesky-clip)"><path fill="#08060d" d="M7.75 7.735c-.693-1.348-2.58-3.86-4.334-5.097-1.68-1.187-2.32-.981-2.74-.79C.188 2.065.1 2.812.1 3.251s.241 3.602.398 4.13c.52 1.744 2.367 2.333 4.07 2.145-2.495.37-4.71 1.278-1.805 4.512 3.196 3.309 4.38-.71 4.987-2.746.608 2.036 1.307 5.91 4.93 2.746 2.72-2.746.747-4.143-1.747-4.512 1.702.189 3.55-.4 4.07-2.145.156-.528.397-3.691.397-4.13s-.088-1.186-.575-1.406c-.42-.19-1.06-.395-2.741.79-1.755 1.24-3.64 3.752-4.334 5.099"/></g>
+    <defs><clipPath id="bluesky-clip"><path fill="#fff" d="M.1.85h15.3v15.3H.1z"/></clipPath></defs>
+  </symbol>
+  <symbol id="discord-icon" viewBox="0 0 20 19">
+    <path fill="#08060d" d="M16.224 3.768a14.5 14.5 0 0 0-3.67-1.153c-.158.286-.343.67-.47.976a13.5 13.5 0 0 0-4.067 0c-.128-.306-.317-.69-.476-.976A14.4 14.4 0 0 0 3.868 3.77C1.546 7.28.916 10.703 1.231 14.077a14.7 14.7 0 0 0 4.5 2.306q.545-.748.965-1.587a9.5 9.5 0 0 1-1.518-.74q.191-.14.372-.293c2.927 1.369 6.107 1.369 8.999 0q.183.152.372.294-.723.437-1.52.74.418.838.963 1.588a14.6 14.6 0 0 0 4.504-2.308c.37-3.911-.63-7.302-2.644-10.309m-9.13 8.234c-.878 0-1.599-.82-1.599-1.82 0-.998.705-1.82 1.6-1.82.894 0 1.614.82 1.599 1.82.001 1-.705 1.82-1.6 1.82m5.91 0c-.878 0-1.599-.82-1.599-1.82 0-.998.705-1.82 1.6-1.82.893 0 1.614.82 1.599 1.82 0 1-.706 1.82-1.6 1.82"/>
+  </symbol>
+  <symbol id="documentation-icon" viewBox="0 0 21 20">
+    <path fill="none" stroke="#aa3bff" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.35" d="m15.5 13.333 1.533 1.322c.645.555.967.833.967 1.178s-.322.623-.967 1.179L15.5 18.333m-3.333-5-1.534 1.322c-.644.555-.966.833-.966 1.178s.322.623.966 1.179l1.534 1.321"/>
+    <path fill="none" stroke="#aa3bff" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.35" d="M17.167 10.836v-4.32c0-1.41 0-2.117-.224-2.68-.359-.906-1.118-1.621-2.08-1.96-.599-.21-1.349-.21-2.848-.21-2.623 0-3.935 0-4.983.369-1.684.591-3.013 1.842-3.641 3.428C3 6.449 3 7.684 3 10.154v2.122c0 2.558 0 3.838.706 4.726q.306.383.713.671c.76.536 1.79.64 3.581.66"/>
+    <path fill="none" stroke="#aa3bff" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.35" d="M3 10a2.78 2.78 0 0 1 2.778-2.778c.555 0 1.209.097 1.748-.047.48-.129.854-.503.982-.982.145-.54.048-1.194.048-1.749a2.78 2.78 0 0 1 2.777-2.777"/>
+  </symbol>
+  <symbol id="github-icon" viewBox="0 0 19 19">
+    <path fill="#08060d" fill-rule="evenodd" d="M9.356 1.85C5.05 1.85 1.57 5.356 1.57 9.694a7.84 7.84 0 0 0 5.324 7.44c.387.079.528-.168.528-.376 0-.182-.013-.805-.013-1.454-2.165.467-2.616-.935-2.616-.935-.349-.91-.864-1.143-.864-1.143-.71-.48.051-.48.051-.48.787.051 1.2.805 1.2.805.695 1.194 1.817.857 2.268.649.064-.507.27-.857.49-1.052-1.728-.182-3.545-.857-3.545-3.87 0-.857.31-1.558.8-2.104-.078-.195-.349-1 .077-2.078 0 0 .657-.208 2.14.805a7.5 7.5 0 0 1 1.946-.26c.657 0 1.328.092 1.946.26 1.483-1.013 2.14-.805 2.14-.805.426 1.078.155 1.883.078 2.078.502.546.799 1.247.799 2.104 0 3.013-1.818 3.675-3.558 3.87.284.247.528.714.528 1.454 0 1.052-.012 1.896-.012 2.156 0 .208.142.455.528.377a7.84 7.84 0 0 0 5.324-7.441c.013-4.338-3.48-7.844-7.773-7.844" clip-rule="evenodd"/>
+  </symbol>
+  <symbol id="social-icon" viewBox="0 0 20 20">
+    <path fill="none" stroke="#aa3bff" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.35" d="M12.5 6.667a4.167 4.167 0 1 0-8.334 0 4.167 4.167 0 0 0 8.334 0"/>
+    <path fill="none" stroke="#aa3bff" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.35" d="M2.5 16.667a5.833 5.833 0 0 1 8.75-5.053m3.837.474.513 1.035c.07.144.257.282.414.309l.93.155c.596.1.736.536.307.965l-.723.73a.64.64 0 0 0-.152.531l.207.903c.164.715-.213.991-.84.618l-.872-.52a.63.63 0 0 0-.577 0l-.872.52c-.624.373-1.003.094-.84-.618l.207-.903a.64.64 0 0 0-.152-.532l-.723-.729c-.426-.43-.289-.864.306-.964l.93-.156a.64.64 0 0 0 .412-.31l.513-1.034c.28-.562.735-.562 1.012 0"/>
+  </symbol>
+  <symbol id="x-icon" viewBox="0 0 19 19">
+    <path fill="#08060d" fill-rule="evenodd" d="M1.893 1.98c.052.072 1.245 1.769 2.653 3.77l2.892 4.114c.183.261.333.48.333.486s-.068.089-.152.183l-.522.593-.765.867-3.597 4.087c-.375.426-.734.834-.798.905a1 1 0 0 0-.118.148c0 .01.236.017.664.017h.663l.729-.83c.4-.457.796-.906.879-.999a692 692 0 0 0 1.794-2.038c.034-.037.301-.34.594-.675l.551-.624.345-.392a7 7 0 0 1 .34-.374c.006 0 .93 1.306 2.052 2.903l2.084 2.965.045.063h2.275c1.87 0 2.273-.003 2.266-.021-.008-.02-1.098-1.572-3.894-5.547-2.013-2.862-2.28-3.246-2.273-3.266.008-.019.282-.332 2.085-2.38l2-2.274 1.567-1.782c.022-.028-.016-.03-.65-.03h-.674l-.3.342a871 871 0 0 1-1.782 2.025c-.067.075-.405.458-.75.852a100 100 0 0 1-.803.91c-.148.172-.299.344-.99 1.127-.304.343-.32.358-.345.327-.015-.019-.904-1.282-1.976-2.808L6.365 1.85H1.8zm1.782.91 8.078 11.294c.772 1.08 1.413 1.973 1.425 1.984.016.017.241.02 1.05.017l1.03-.004-2.694-3.766L7.796 5.75 5.722 2.852l-1.039-.004-1.039-.004z" clip-rule="evenodd"/>
+  </symbol>
+</svg>

frontend/dist/index.html

@@ -0,0 +1,18 @@
+<!doctype html>
+<html lang="zh-CN">
+  <head>
+    <meta charset="UTF-8" />
+    <link rel="icon" type="image/svg+xml" href="/favicon.svg" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0, viewport-fit=cover" />
+    <meta name="mobile-web-app-capable" content="yes" />
+    <meta name="apple-mobile-web-app-capable" content="yes" />
+    <meta name="author" content="马建军" />
+    <meta name="copyright" content="Copyright (c) 马建军. All rights reserved." />
+    <title>中学成绩档案</title>
+    <script type="module" crossorigin src="/assets/index-C01Hd5WH.js"></script>
+    <link rel="stylesheet" crossorigin href="/assets/index-BSTLtBBx.css">
+  </head>
+  <body>
+    <div id="root"></div>
+  </body>
+</html>

frontend/index.html

@@ -3,7 +3,9 @@
   <head>
     <meta charset="UTF-8" />
     <link rel="icon" type="image/svg+xml" href="/favicon.svg" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0, viewport-fit=cover" />
+    <meta name="mobile-web-app-capable" content="yes" />
+    <meta name="apple-mobile-web-app-capable" content="yes" />
     <meta name="author" content="马建军" />
     <meta name="copyright" content="Copyright (c) 马建军. All rights reserved." />
     <title>中学成绩档案</title>

frontend/package-lock.json

@@ -16,6 +16,7 @@
         "echarts-for-react": "^3.0.6",
         "react": "^19.2.7",
         "react-dom": "^19.2.7",
+        "react-easy-crop": "^6.0.2",
         "react-markdown": "^10.1.0",
         "react-router-dom": "^7.18.0",
         "tslib": "^2.8.1"
@@ -3308,6 +3309,12 @@
         "node": "^10 || ^12 || ^13.7 || ^14 || >=15.0.1"
       }
     },
+    "node_modules/normalize-wheel": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/normalize-wheel/-/normalize-wheel-1.0.1.tgz",
+      "integrity": "sha512-1OnlAPZ3zgrk8B91HyRj+eVv+kS5u+Z0SCsak6Xil/kmgEia50ga7zfkumayonZrImffAxPU/5WcyGhzetHNPA==",
+      "license": "BSD-3-Clause"
+    },
     "node_modules/oxlint": {
       "version": "1.71.0",
       "resolved": "https://registry.npmjs.org/oxlint/-/oxlint-1.71.0.tgz",
@@ -3471,6 +3478,19 @@
         "react": "^19.2.7"
       }
     },
+    "node_modules/react-easy-crop": {
+      "version": "6.0.2",
+      "resolved": "https://registry.npmjs.org/react-easy-crop/-/react-easy-crop-6.0.2.tgz",
+      "integrity": "sha512-nY/YiNEuRjc851+/PsOR6Q7XoshmnXMl+oEOsxp3Ah0PrhECi5388jjRnHwsTFx3W0o2zPwvq85oljzUqZNpEw==",
+      "license": "MIT",
+      "dependencies": {
+        "normalize-wheel": "^1.0.1"
+      },
+      "peerDependencies": {
+        "react": ">=16.4.0",
+        "react-dom": ">=16.4.0"
+      }
+    },
     "node_modules/react-is": {
       "version": "18.3.1",
       "resolved": "https://registry.npmjs.org/react-is/-/react-is-18.3.1.tgz",

frontend/package.json

@@ -18,6 +18,7 @@
     "echarts-for-react": "^3.0.6",
     "react": "^19.2.7",
     "react-dom": "^19.2.7",
+    "react-easy-crop": "^6.0.2",
     "react-markdown": "^10.1.0",
     "react-router-dom": "^7.18.0",
     "tslib": "^2.8.1"

frontend/src/App.tsx

@@ -1,6 +1,7 @@
 import { Navigate, Route, Routes } from 'react-router-dom'
 import { useAuth } from './context/AuthContext'
 import LoginPage from './pages/LoginPage'
+import SettingsPage from './pages/SettingsPage'
 import StudentDetailPage from './pages/StudentDetailPage'
 import StudentsPage from './pages/StudentsPage'
 
@@ -31,6 +32,14 @@ export default function App() {
           </PrivateRoute>
         }
       />
+      <Route
+        path="/settings"
+        element={
+          <PrivateRoute>
+            <SettingsPage />
+          </PrivateRoute>
+        }
+      />
       <Route path="*" element={<Navigate to="/" replace />} />
     </Routes>
   )

frontend/src/api/client.ts

@@ -1,14 +1,23 @@
 import axios from 'axios'
 import type {
+  AdminUser,
+  AIProvider,
+  AppFeatures,
+  BackupInfo,
+  Composition,
+  CompositionInputMode,
   Exam,
+  PublicSettings,
   ScoreInput,
   SchoolLevel,
   Student,
   Subject,
+  SystemSettings,
   TokenResponse,
   TrendResponse,
   User,
   WrongQuestion,
+  WrongQuestionCategory,
 } from '../types'
 import type { ExamType } from '../types'
 
@@ -59,17 +68,73 @@ export const authApi = {
   me: () => api.get<User>('/auth/me'),
 }
 
+export const settingsApi = {
+  public: () => api.get<PublicSettings>('/settings/public'),
+  appFeatures: () => api.get<AppFeatures>('/settings/app-features'),
+}
+
+export const adminApi = {
+  getSettings: () => api.get<SystemSettings>('/admin/settings'),
+  updateSettings: (data: {
+    registration_enabled?: boolean
+    ai_review_enabled?: boolean
+    ai_provider?: AIProvider
+    ollama_base_url?: string | null
+    ollama_model?: string | null
+    openai_base_url?: string | null
+    openai_model?: string | null
+    openai_api_key?: string
+    ocr_service_url?: string | null
+  }) => api.patch<SystemSettings>('/admin/settings', data),
+  updateProfile: (data: {
+    username?: string
+    current_password?: string
+    password?: string
+  }) => api.patch<AdminUser>('/admin/profile', data),
+  listUsers: () => api.get<AdminUser[]>('/admin/users'),
+  createUser: (data: { username: string; password: string }) =>
+    api.post<AdminUser>('/admin/users', data),
+  resetUserPassword: (id: string, password: string) =>
+    api.patch<AdminUser>(`/admin/users/${id}`, { password }),
+  deleteUser: (id: string) => api.delete(`/admin/users/${id}`),
+  listBackups: () => api.get<BackupInfo[]>('/admin/backups'),
+  runBackup: () => api.post<BackupInfo>('/admin/backups/run'),
+  downloadBackup: (filename: string) =>
+    api.get(`/admin/backups/${encodeURIComponent(filename)}/download`, { responseType: 'blob' }),
+  restoreBackup: (file: File) => {
+    const form = new FormData()
+    form.append('file', file)
+    return api.post<{ ok: boolean; message: string }>('/admin/backups/restore', form)
+  },
+}
+
 export const studentApi = {
   list: () => api.get<Student[]>('/students'),
   create: (data: {
     name: string
     school_level?: SchoolLevel
+    school_name?: string
     grade?: string
     class_name?: string
   }) => api.post<Student>('/students', data),
   get: (id: string) => api.get<Student>(`/students/${id}`),
-  update: (id: string, data: Partial<Student>) => api.patch<Student>(`/students/${id}`, data),
+  update: (
+    id: string,
+    data: Partial<{
+      name: string
+      school_level: SchoolLevel
+      school_name: string
+      grade: string
+      class_name: string
+    }>,
+  ) => api.patch<Student>(`/students/${id}`, data),
   remove: (id: string) => api.delete(`/students/${id}`),
+  uploadAvatar: (id: string, file: File) => {
+    const form = new FormData()
+    form.append('file', file)
+    return api.post<Student>(`/students/${id}/avatar`, form)
+  },
+  removeAvatar: (id: string) => api.delete<Student>(`/students/${id}/avatar`),
 }
 
 export const subjectApi = {
@@ -86,21 +151,49 @@ export const examApi = {
     examId: string,
     data: Partial<{ exam_type: ExamType; exam_date: string; title: string; scores: ScoreInput[] }>,
   ) => api.patch<Exam>(`/exams/${examId}`, data),
+  updateReview: (
+    examId: string,
+    reviews: { subject_id: number; review_statuses: ScoreInput['review_statuses'] }[],
+  ) => api.patch<Exam>(`/exams/${examId}/review`, { reviews }),
   remove: (examId: string) => api.delete(`/exams/${examId}`),
   trend: (studentId: string, subjectId: number) =>
     api.get<TrendResponse>(`/students/${studentId}/scores/trend`, {
       params: { subject_id: subjectId },
     }),
   exportCsv: (studentId: string) =>
-    api.get(`/students/${studentId}/scores/export`, { responseType: 'blob' }),
+    api.get<Blob>(`/students/${studentId}/scores/export`, {
+      responseType: 'blob',
+      validateStatus: (status) => status >= 200 && status < 300,
+    }),
+  reviewInsight: (studentId: string, subjectName: string) =>
+    api.post<{ insight: string }>(`/students/${studentId}/review-insight`, {
+      subject_name: subjectName,
+    }),
+}
+
+export const compositionApi = {
+  list: (studentId: string) => api.get<Composition[]>(`/students/${studentId}/compositions`),
+  create: (studentId: string, data: { topic: string; input_mode?: CompositionInputMode }) =>
+    api.post<Composition>(`/students/${studentId}/compositions`, data),
+  get: (id: string) => api.get<Composition>(`/compositions/${id}`),
+  remove: (id: string) => api.delete(`/compositions/${id}`),
+  regenerate: (id: string) => api.post<Composition>(`/compositions/${id}/regenerate`),
+  ocr: (studentId: string, file: File) => {
+    const form = new FormData()
+    form.append('file', file)
+    return api.post<{ text: string }>(`/students/${studentId}/compositions/ocr`, form)
+  },
+  download: (id: string) =>
+    api.get(`/compositions/${id}/download`, { responseType: 'blob' }),
 }
 
 export const wrongQuestionApi = {
-  list: (studentId: string, params?: { subject_id?: number; q?: string }) =>
+  list: (studentId: string, params?: { subject_id?: number; q?: string; category?: WrongQuestionCategory }) =>
     api.get<WrongQuestion[]>(`/students/${studentId}/wrong-questions`, { params }),
-  upload: (studentId: string, subjectId: number, file: File) => {
+  upload: (studentId: string, subjectId: number, file: File, category: WrongQuestionCategory = 'regular') => {
     const form = new FormData()
     form.append('subject_id', String(subjectId))
+    form.append('category', category)
     form.append('file', file)
     return api.post<WrongQuestion>(`/students/${studentId}/wrong-questions`, form)
   },

frontend/src/components/AuthenticatedImage.tsx

@@ -0,0 +1,84 @@
+import { useEffect, useState } from 'react'
+import api from '../api/client'
+
+interface Props {
+  questionId: string
+  variant?: 'original' | 'annotated' | 'cropped'
+  className?: string
+  alt?: string
+  style?: React.CSSProperties
+}
+
+export default function AuthenticatedImage({
+  questionId,
+  variant = 'original',
+  className,
+  alt = '题目',
+  style,
+}: Props) {
+  const [src, setSrc] = useState<string | null>(null)
+  const [failed, setFailed] = useState(false)
+
+  useEffect(() => {
+    let objectUrl: string | null = null
+    let cancelled = false
+
+    const load = async (path: string, fallback?: string) => {
+      try {
+        const res = await api.get(path, { responseType: 'blob' })
+        if (cancelled) return
+        objectUrl = URL.createObjectURL(res.data)
+        setSrc(objectUrl)
+        setFailed(false)
+      } catch {
+        if (fallback && !cancelled) {
+          await load(fallback)
+        } else if (!cancelled) {
+          setFailed(true)
+        }
+      }
+    }
+
+    const annotatedPath = `/wrong-questions/${questionId}/annotated-image`
+    const croppedPath = `/wrong-questions/${questionId}/cropped-image`
+    const originalPath = `/wrong-questions/${questionId}/image`
+
+    if (variant === 'annotated') {
+      load(annotatedPath, originalPath)
+    } else if (variant === 'cropped') {
+      load(croppedPath, annotatedPath)
+    } else {
+      load(originalPath)
+    }
+
+    return () => {
+      cancelled = true
+      if (objectUrl) URL.revokeObjectURL(objectUrl)
+    }
+  }, [questionId, variant])
+
+  if (failed) {
+    return (
+      <div
+        className={className}
+        style={{
+          ...style,
+          background: '#fafafa',
+          color: '#999',
+          display: 'flex',
+          alignItems: 'center',
+          justifyContent: 'center',
+          fontSize: 12,
+        }}
+      >
+        图片加载失败
+      </div>
+    )
+  }
+
+  if (!src) {
+    return <div className={className} style={{ ...style, background: '#fafafa' }} />
+  }
+
+  return <img src={src} alt={alt} className={className} style={style} />
+}

frontend/src/components/CompositionDetailModal.tsx

@@ -0,0 +1,113 @@
+import { DeleteOutlined, DownloadOutlined, ReloadOutlined } from '@ant-design/icons'
+import { Alert, Button, Modal, Popconfirm, Space, Spin, Tag, Typography } from 'antd'
+import ReactMarkdown from 'react-markdown'
+import type { Composition } from '../types'
+import { COMPOSITION_STATUS_LABELS } from '../types'
+
+interface Props {
+  item: Composition | null
+  open: boolean
+  onClose: () => void
+  onRegenerate: (id: string) => void
+  onDelete: (id: string) => void
+  onDownload: (item: Composition) => void
+  regenerating?: boolean
+}
+
+export default function CompositionDetailModal({
+  item,
+  open,
+  onClose,
+  onRegenerate,
+  onDelete,
+  onDownload,
+  regenerating,
+}: Props) {
+  if (!item) return null
+
+  const processing = item.status === 'pending' || item.status === 'generating'
+
+  return (
+    <Modal
+      title="作文详情"
+      open={open}
+      onCancel={onClose}
+      width="92%"
+      style={{ maxWidth: 860 }}
+      footer={
+        <Space wrap>
+          <Popconfirm title="确定删除？" onConfirm={() => onDelete(item.id)}>
+            <Button danger icon={<DeleteOutlined />}>
+              删除
+            </Button>
+          </Popconfirm>
+          <Button
+            icon={<ReloadOutlined />}
+            loading={regenerating}
+            onClick={() => onRegenerate(item.id)}
+          >
+            重新生成
+          </Button>
+          <Button
+            type="primary"
+            icon={<DownloadOutlined />}
+            disabled={item.status !== 'done'}
+            onClick={() => onDownload(item)}
+          >
+            下载 Markdown
+          </Button>
+        </Space>
+      }
+    >
+      <Space direction="vertical" size="middle" style={{ width: '100%' }}>
+        <div>
+          <Tag>{COMPOSITION_STATUS_LABELS[item.status]}</Tag>
+          <Tag>{item.input_mode === 'ocr' ? 'OCR 识别' : '手动输入'}</Tag>
+          <Typography.Text type="secondary" style={{ marginLeft: 8 }}>
+            {new Date(item.created_at).toLocaleString()}
+          </Typography.Text>
+        </div>
+        <div>
+          <Typography.Text strong>题目</Typography.Text>
+          <pre
+            style={{
+              marginTop: 8,
+              background: '#fafafa',
+              padding: 12,
+              borderRadius: 8,
+              whiteSpace: 'pre-wrap',
+            }}
+          >
+            {item.topic}
+          </pre>
+        </div>
+        {item.error_message && <Alert type="error" message={item.error_message} showIcon />}
+        {processing && (
+          <div style={{ textAlign: 'center', padding: 24 }}>
+            <Spin tip="正在生成写作方案与范文…" />
+          </div>
+        )}
+        {item.status === 'done' && (
+          <>
+            {item.writing_plan && (
+              <div>
+                <Typography.Title level={5}>写作方案</Typography.Title>
+                <div style={{ background: '#fafafa', padding: 12, borderRadius: 8 }}>
+                  <ReactMarkdown>{item.writing_plan}</ReactMarkdown>
+                </div>
+              </div>
+            )}
+            {item.sample_essay && (
+              <div>
+                <Typography.Title level={5}>范文</Typography.Title>
+                <div style={{ background: '#fafafa', padding: 12, borderRadius: 8 }}>
+                  <ReactMarkdown>{item.sample_essay}</ReactMarkdown>
+                </div>
+              </div>
+            )}
+          </>
+        )}
+      </Space>
+    </Modal>
+  )
+}

frontend/src/components/CompositionPanel.tsx

@@ -0,0 +1,211 @@
+import { UploadOutlined } from '@ant-design/icons'
+import { Button, Input, List, Space, Tag, Typography, Upload, message } from 'antd'
+import { useCallback, useEffect, useState } from 'react'
+import { compositionApi } from '../api/client'
+import type { Composition, CompositionInputMode, Student } from '../types'
+import { COMPOSITION_STATUS_LABELS } from '../types'
+import { SCHOOL_LEVEL_LABELS } from '../constants/school'
+import CompositionDetailModal from './CompositionDetailModal'
+
+interface Props {
+  studentId: string
+  student: Student
+}
+
+export default function CompositionPanel({ studentId, student }: Props) {
+  const [topic, setTopic] = useState('')
+  const [inputMode, setInputMode] = useState<CompositionInputMode>('manual')
+  const [items, setItems] = useState<Composition[]>([])
+  const [loading, setLoading] = useState(false)
+  const [ocrLoading, setOcrLoading] = useState(false)
+  const [creating, setCreating] = useState(false)
+  const [selected, setSelected] = useState<Composition | null>(null)
+  const [detailOpen, setDetailOpen] = useState(false)
+  const [regenerating, setRegenerating] = useState(false)
+
+  const load = useCallback(async () => {
+    setLoading(true)
+    try {
+      const { data } = await compositionApi.list(studentId)
+      setItems(data)
+      setSelected((prev) => {
+        if (!prev) return prev
+        return data.find((item) => item.id === prev.id) ?? prev
+      })
+    } finally {
+      setLoading(false)
+    }
+  }, [studentId])
+
+  useEffect(() => {
+    load()
+  }, [load])
+
+  useEffect(() => {
+    const hasProcessing = items.some(
+      (item) => item.status === 'pending' || item.status === 'generating',
+    )
+    if (!hasProcessing) return
+    const timer = window.setInterval(load, 4000)
+    return () => window.clearInterval(timer)
+  }, [items, load])
+
+  const handleOcr = async (file: File) => {
+    setOcrLoading(true)
+    try {
+      const { data } = await compositionApi.ocr(studentId, file)
+      setTopic(data.text)
+      setInputMode('ocr')
+      message.success('题目识别完成')
+    } catch {
+      message.error('题目识别失败')
+    } finally {
+      setOcrLoading(false)
+    }
+    return false
+  }
+
+  const handleGenerate = async () => {
+    if (!topic.trim()) {
+      message.warning('请输入或识别作文题目')
+      return
+    }
+    setCreating(true)
+    try {
+      const { data } = await compositionApi.create(studentId, {
+        topic: topic.trim(),
+        input_mode: inputMode,
+      })
+      message.success('已开始生成，请稍后在历史记录中查看')
+      setTopic('')
+      setInputMode('manual')
+      await load()
+      setSelected(data)
+      setDetailOpen(true)
+    } catch {
+      message.error('创建失败')
+    } finally {
+      setCreating(false)
+    }
+  }
+
+  const openDetail = (item: Composition) => {
+    setSelected(item)
+    setDetailOpen(true)
+  }
+
+  const handleRegenerate = async (id: string) => {
+    setRegenerating(true)
+    try {
+      const { data } = await compositionApi.regenerate(id)
+      message.info('正在重新生成…')
+      setSelected(data)
+      await load()
+    } catch {
+      message.error('重新生成失败')
+    } finally {
+      setRegenerating(false)
+    }
+  }
+
+  const handleDelete = async (id: string) => {
+    await compositionApi.remove(id)
+    message.success('已删除')
+    setDetailOpen(false)
+    setSelected(null)
+    load()
+  }
+
+  const handleDownload = async (item: Composition) => {
+    try {
+      const { data } = await compositionApi.download(item.id)
+      const url = URL.createObjectURL(data)
+      const a = document.createElement('a')
+      a.href = url
+      a.download = `${item.topic.slice(0, 20).replace(/[\\/:*?"<>|]/g, '_') || 'composition'}.md`
+      a.click()
+      URL.revokeObjectURL(url)
+    } catch {
+      message.error('下载失败')
+    }
+  }
+
+  const stage = SCHOOL_LEVEL_LABELS[student.school_level]
+  const gradeText = [stage, student.grade, student.class_name].filter(Boolean).join(' · ')
+
+  return (
+    <Space direction="vertical" size="large" style={{ width: '100%' }}>
+      <Typography.Paragraph type="secondary" style={{ marginBottom: 0 }}>
+        按 {gradeText || stage} 课内要求生成写作方案与范文，严禁超纲。题目可手动输入或拍照 OCR 识别。
+      </Typography.Paragraph>
+
+      <div>
+        <Typography.Text strong>作文题目</Typography.Text>
+        <Input.TextArea
+          rows={4}
+          value={topic}
+          onChange={(e) => {
+            setTopic(e.target.value)
+            setInputMode('manual')
+          }}
+          placeholder="输入作文题目，或通过下方上传题目图片 OCR 识别"
+          style={{ marginTop: 8 }}
+        />
+        <Space wrap style={{ marginTop: 12 }}>
+          <Upload beforeUpload={handleOcr} showUploadList={false} accept="image/*">
+            <Button icon={<UploadOutlined />} loading={ocrLoading}>
+              上传题目 OCR
+            </Button>
+          </Upload>
+          <Button type="primary" loading={creating} onClick={handleGenerate}>
+            生成写作方案与范文
+          </Button>
+        </Space>
+      </div>
+
+      <div>
+        <Typography.Title level={5} style={{ marginTop: 0 }}>
+          历史记录
+        </Typography.Title>
+        <List
+          loading={loading}
+          dataSource={items}
+          locale={{ emptyText: '暂无记录，请在上方输入题目并生成' }}
+          renderItem={(item) => (
+            <List.Item
+              actions={[
+                <Button type="link" onClick={() => openDetail(item)}>
+                  查看
+                </Button>,
+              ]}
+            >
+              <List.Item.Meta
+                title={
+                  <Space wrap>
+                    <Typography.Text ellipsis style={{ maxWidth: 420 }}>
+                      {item.topic}
+                    </Typography.Text>
+                    <Tag color={item.status === 'done' ? 'green' : item.status === 'failed' ? 'red' : 'blue'}>
+                      {COMPOSITION_STATUS_LABELS[item.status]}
+                    </Tag>
+                  </Space>
+                }
+                description={new Date(item.created_at).toLocaleString()}
+              />
+            </List.Item>
+          )}
+        />
+      </div>
+
+      <CompositionDetailModal
+        item={selected}
+        open={detailOpen}
+        onClose={() => setDetailOpen(false)}
+        onRegenerate={handleRegenerate}
+        onDelete={handleDelete}
+        onDownload={handleDownload}
+        regenerating={regenerating}
+      />
+    </Space>
+  )
+}

frontend/src/components/ExamReviewPanel.tsx

@@ -0,0 +1,184 @@
+import { Button, Checkbox, Divider, Select, Space, Table, Typography, message } from 'antd'
+import { useEffect, useMemo, useState } from 'react'
+import { examApi } from '../api/client'
+import type { Exam, ReviewStatus } from '../types'
+import { EXAM_TYPE_LABELS, REVIEW_STATUS_OPTIONS } from '../types'
+import ReviewBarChart from './ReviewBarChart'
+import ReviewAiInsight from './ReviewAiInsight'
+import ReviewSubjectDetail from './ReviewSubjectDetail'
+
+function apiErrorMessage(err: unknown, fallback: string): string {
+  if (err && typeof err === 'object' && 'response' in err) {
+    const detail = (err as { response?: { data?: { detail?: unknown } } }).response?.data?.detail
+    if (typeof detail === 'string') return detail
+    if (Array.isArray(detail)) {
+      return detail.map((item) => item?.msg || String(item)).join('；')
+    }
+  }
+  return fallback
+}
+
+function firstSubjectWithReview(exams: Exam[]): string | null {
+  const names = new Set<string>()
+  for (const exam of exams) {
+    for (const score of exam.scores) {
+      if (score.review_statuses?.length) {
+        names.add(score.subject_name || `科目${score.subject_id}`)
+      }
+    }
+  }
+  const sorted = Array.from(names).sort((a, b) => a.localeCompare(b, 'zh-CN'))
+  return sorted[0] || null
+}
+
+interface Props {
+  studentId: string
+  exams: Exam[]
+  onRefresh: () => void
+}
+
+export default function ExamReviewPanel({ studentId, exams, onRefresh }: Props) {
+  const [examId, setExamId] = useState<string>()
+  const [statusMap, setStatusMap] = useState<Record<number, ReviewStatus[]>>({})
+  const [saving, setSaving] = useState(false)
+  const [selectedSubject, setSelectedSubject] = useState<string | null>(null)
+
+  const examOptions = useMemo(
+    () =>
+      exams.map((exam) => ({
+        value: exam.id,
+        label: `${exam.exam_date} · ${EXAM_TYPE_LABELS[exam.exam_type]}${exam.title ? ` · ${exam.title}` : ''}`,
+      })),
+    [exams],
+  )
+
+  const selectedExam = exams.find((e) => e.id === examId)
+
+  useEffect(() => {
+    if (!examId && exams.length) {
+      setExamId(exams[0].id)
+    }
+  }, [examId, exams])
+
+  useEffect(() => {
+    const defaultSubject = firstSubjectWithReview(exams)
+    if (defaultSubject) {
+      setSelectedSubject((prev) => prev ?? defaultSubject)
+    }
+  }, [exams])
+
+  useEffect(() => {
+    if (!selectedExam) {
+      setStatusMap({})
+      return
+    }
+    const next: Record<number, ReviewStatus[]> = {}
+    for (const score of selectedExam.scores) {
+      next[score.subject_id] = [...(score.review_statuses || [])]
+    }
+    setStatusMap(next)
+  }, [selectedExam])
+
+  const handleSave = async () => {
+    if (!selectedExam) {
+      message.warning('请选择考试')
+      return
+    }
+    setSaving(true)
+    try {
+      await examApi.update(selectedExam.id, {
+        scores: selectedExam.scores.map((score) => ({
+          subject_id: score.subject_id,
+          total_score: Number(score.total_score),
+          obtained_score: Number(score.obtained_score),
+          review_statuses: statusMap[score.subject_id] || [],
+        })),
+      })
+      message.success('复盘已保存')
+      onRefresh()
+    } catch (err) {
+      message.error(apiErrorMessage(err, '保存失败'))
+    } finally {
+      setSaving(false)
+    }
+  }
+
+  if (exams.length === 0) {
+    return (
+      <Typography.Text type="secondary">请先录入至少一次考试成绩，再进行复盘</Typography.Text>
+    )
+  }
+
+  return (
+    <Space direction="vertical" size="large" style={{ width: '100%' }}>
+      <div>
+        <Typography.Title level={5} style={{ marginTop: 0 }}>
+          填写复盘
+        </Typography.Title>
+        <Space wrap style={{ width: '100%', marginBottom: 12 }}>
+          <Select
+            style={{ minWidth: 280 }}
+            placeholder="选择考试"
+            value={examId}
+            onChange={setExamId}
+            options={examOptions}
+          />
+          <Button type="primary" loading={saving} onClick={handleSave}>
+            保存复盘
+          </Button>
+        </Space>
+        {selectedExam && (
+          <Table
+            size="small"
+            pagination={false}
+            rowKey="subject_id"
+            dataSource={selectedExam.scores}
+            scroll={{ x: 480 }}
+            columns={[
+              {
+                title: '科目',
+                dataIndex: 'subject_name',
+                width: 80,
+              },
+              {
+                title: '得分',
+                width: 100,
+                render: (_, row) => `${row.obtained_score}/${row.total_score}`,
+              },
+              {
+                title: '考试状态（可多选）',
+                render: (_, row) => (
+                  <Checkbox.Group
+                    options={REVIEW_STATUS_OPTIONS}
+                    value={statusMap[row.subject_id] || []}
+                    onChange={(values) =>
+                      setStatusMap((prev) => ({
+                        ...prev,
+                        [row.subject_id]: values as ReviewStatus[],
+                      }))
+                    }
+                  />
+                ),
+              },
+            ]}
+          />
+        )}
+      </div>
+
+      <Divider style={{ margin: '8px 0' }} />
+
+      <div>
+        <Typography.Title level={5} style={{ marginTop: 0 }}>
+          复盘统计
+        </Typography.Title>
+        <ReviewBarChart
+          exams={exams}
+          selectedSubject={selectedSubject}
+          onSubjectSelect={setSelectedSubject}
+        />
+        <ReviewSubjectDetail exams={exams} subjectName={selectedSubject} />
+        <ReviewAiInsight studentId={studentId} subjectName={selectedSubject} />
+      </div>
+    </Space>
+  )
+}

frontend/src/components/ImageCropModal.tsx

@@ -0,0 +1,104 @@
+import { Button, Modal, Slider, Space } from 'antd'
+import { useCallback, useState } from 'react'
+import Cropper, { type Area } from 'react-easy-crop'
+import { blobToFile, cropImageToBlob } from '../utils/cropImage'
+
+interface Props {
+  open: boolean
+  imageSrc: string | null
+  filename: string
+  onCancel: () => void
+  onConfirm: (file: File) => void
+  onSkip?: (file: File) => void
+  originalFile?: File | null
+}
+
+export default function ImageCropModal({
+  open,
+  imageSrc,
+  filename,
+  onCancel,
+  onConfirm,
+  onSkip,
+  originalFile,
+}: Props) {
+  const [crop, setCrop] = useState({ x: 0, y: 0 })
+  const [zoom, setZoom] = useState(1)
+  const [croppedArea, setCroppedArea] = useState<Area | null>(null)
+  const [submitting, setSubmitting] = useState(false)
+
+  const onCropComplete = useCallback((_area: Area, pixels: Area) => {
+    setCroppedArea(pixels)
+  }, [])
+
+  const handleConfirm = async () => {
+    if (!imageSrc || !croppedArea) return
+    setSubmitting(true)
+    try {
+      const blob = await cropImageToBlob(imageSrc, croppedArea)
+      onConfirm(blobToFile(blob, filename.replace(/\.\w+$/, '') + '.jpg'))
+    } finally {
+      setSubmitting(false)
+    }
+  }
+
+  const handleSkip = () => {
+    if (originalFile && onSkip) {
+      onSkip(originalFile)
+    }
+  }
+
+  return (
+    <Modal
+      title="裁剪题目区域"
+      open={open}
+      onCancel={onCancel}
+      width="92%"
+      style={{ maxWidth: 560 }}
+      destroyOnHidden
+      footer={
+        <Space wrap>
+          <Button onClick={onCancel}>取消</Button>
+          {onSkip && originalFile && (
+            <Button onClick={handleSkip} disabled={submitting}>
+              不裁剪，直接上传
+            </Button>
+          )}
+          <Button type="primary" loading={submitting} onClick={handleConfirm}>
+            确认上传
+          </Button>
+        </Space>
+      }
+    >
+      <p style={{ margin: '0 0 12px', color: '#666', fontSize: 13 }}>
+        拖动框选仅保留错题区域，识别会更准确
+      </p>
+      <div
+        style={{
+          position: 'relative',
+          width: '100%',
+          height: 320,
+          background: '#111',
+          borderRadius: 8,
+          overflow: 'hidden',
+        }}
+      >
+        {imageSrc && (
+          <Cropper
+            image={imageSrc}
+            crop={crop}
+            zoom={zoom}
+            aspect={undefined}
+            onCropChange={setCrop}
+            onZoomChange={setZoom}
+            onCropComplete={onCropComplete}
+          />
+        )}
+      </div>
+      <div style={{ marginTop: 12 }}>
+        <span style={{ fontSize: 12, color: '#666' }}>缩放</span>
+        <Slider min={1} max={3} step={0.05} value={zoom} onChange={setZoom} />
+      </div>
+    </Modal>
+  )
+}

frontend/src/components/ReviewAiInsight.tsx

@@ -0,0 +1,95 @@
+import { Alert, Button, Spin, Typography } from 'antd'
+import { useCallback, useEffect, useState } from 'react'
+import ReactMarkdown from 'react-markdown'
+import { examApi, settingsApi } from '../api/client'
+
+interface Props {
+  studentId: string
+  subjectName: string | null
+}
+
+function apiErrorMessage(err: unknown, fallback: string): string {
+  if (err && typeof err === 'object' && 'response' in err) {
+    const detail = (err as { response?: { data?: { detail?: unknown } } }).response?.data?.detail
+    if (typeof detail === 'string') return detail
+  }
+  return fallback
+}
+
+export default function ReviewAiInsight({ studentId, subjectName }: Props) {
+  const [enabled, setEnabled] = useState(true)
+  const [insight, setInsight] = useState<string | null>(null)
+  const [loading, setLoading] = useState(false)
+  const [error, setError] = useState<string | null>(null)
+
+  useEffect(() => {
+    settingsApi.appFeatures().then(({ data }) => setEnabled(data.ai_review_enabled)).catch(() => {})
+  }, [])
+
+  const loadInsight = useCallback(async () => {
+    if (!subjectName || !enabled) {
+      setInsight(null)
+      setError(null)
+      return
+    }
+    setLoading(true)
+    setError(null)
+    try {
+      const { data } = await examApi.reviewInsight(studentId, subjectName)
+      setInsight(data.insight)
+    } catch (err) {
+      setError(apiErrorMessage(err, 'AI 解读生成失败，请检查模型配置'))
+      setInsight(null)
+    } finally {
+      setLoading(false)
+    }
+  }, [studentId, subjectName, enabled])
+
+  useEffect(() => {
+    loadInsight()
+  }, [loadInsight])
+
+  if (!subjectName) return null
+
+  if (!enabled) {
+    return (
+      <Alert
+        style={{ marginTop: 20 }}
+        type="info"
+        showIcon
+        message="AI 复盘解读已在系统设置中关闭"
+      />
+    )
+  }
+
+  return (
+    <div style={{ marginTop: 20 }}>
+      <div style={{ display: 'flex', alignItems: 'center', gap: 12, marginBottom: 12 }}>
+        <Typography.Text strong style={{ fontSize: 15 }}>
+          AI 解读与建议 · {subjectName}
+        </Typography.Text>
+        <Button size="small" loading={loading} onClick={loadInsight}>
+          重新生成
+        </Button>
+      </div>
+      {loading && !insight && (
+        <div style={{ textAlign: 'center', padding: 24 }}>
+          <Spin tip="AI 正在分析复盘数据…" />
+        </div>
+      )}
+      {error && <Alert type="error" message={error} showIcon style={{ marginBottom: 12 }} />}
+      {insight && (
+        <div
+          style={{
+            background: '#f6ffed',
+            border: '1px solid #b7eb8f',
+            borderRadius: 8,
+            padding: 16,
+          }}
+        >
+          <ReactMarkdown>{insight}</ReactMarkdown>
+        </div>
+      )}
+    </div>
+  )
+}

frontend/src/components/ReviewBarChart.tsx

@@ -0,0 +1,148 @@
+import ReactECharts from 'echarts-for-react'
+import { useMemo } from 'react'
+import type { Exam, ReviewStatus } from '../types'
+import { REVIEW_STATUS_LABELS } from '../types'
+
+interface Props {
+  exams: Exam[]
+  selectedSubject?: string | null
+  onSubjectSelect?: (subject: string) => void
+}
+
+const STATUS_ORDER: ReviewStatus[] = ['careless', 'unknown', 'nervous', 'normal']
+
+const STATUS_COLORS: Record<ReviewStatus, string> = {
+  careless: '#fa8c16',
+  unknown: '#ff4d4f',
+  nervous: '#722ed1',
+  normal: '#52c41a',
+}
+
+function buildChartData(exams: Exam[]) {
+  const subjectSet = new Set<string>()
+  const counts: Record<ReviewStatus, Record<string, number>> = {
+    careless: {},
+    unknown: {},
+    nervous: {},
+    normal: {},
+  }
+
+  for (const exam of exams) {
+    for (const score of exam.scores) {
+      const subjectName = score.subject_name || `科目${score.subject_id}`
+      subjectSet.add(subjectName)
+      for (const status of score.review_statuses || []) {
+        counts[status][subjectName] = (counts[status][subjectName] || 0) + 1
+      }
+    }
+  }
+
+  const subjects = Array.from(subjectSet).sort((a, b) => a.localeCompare(b, 'zh-CN'))
+  return { subjects, counts }
+}
+
+export default function ReviewBarChart({ exams, selectedSubject, onSubjectSelect }: Props) {
+  const hasData = STATUS_ORDER.some((status) =>
+    exams.some((exam) =>
+      exam.scores.some((score) => (score.review_statuses || []).includes(status)),
+    ),
+  )
+
+  const { subjects, counts } = useMemo(() => buildChartData(exams), [exams])
+
+  if (!hasData) {
+    return (
+      <div style={{ textAlign: 'center', padding: 32, color: '#999' }}>
+        暂无复盘数据，请在下方填写各科考试状态
+      </div>
+    )
+  }
+
+  const option = {
+    title: {
+      text: '各科考试状态统计',
+      subtext: selectedSubject ? `当前选中：${selectedSubject}` : '点击柱子查看明细',
+      left: 'center',
+      textStyle: { fontSize: 15, fontWeight: 500 },
+      subtextStyle: { fontSize: 12, color: '#888' },
+    },
+    tooltip: {
+      trigger: 'axis',
+      axisPointer: { type: 'shadow' },
+      formatter: (params: Array<{ seriesName: string; value: number; marker: string; name: string }>) => {
+        const rows = params.filter((p) => p.value > 0)
+        if (!rows.length) return ''
+        const total = rows.reduce((sum, p) => sum + p.value, 0)
+        return (
+          `<strong>${params[0]?.name || ''}</strong><br/>` +
+          rows.map((p) => `${p.marker}${p.seriesName}: ${p.value} 次`).join('<br/>') +
+          `<br/>合计: ${total} 次`
+        )
+      },
+    },
+    legend: {
+      bottom: 0,
+      data: STATUS_ORDER.map((s) => REVIEW_STATUS_LABELS[s]),
+    },
+    grid: { left: 48, right: 24, top: 64, bottom: 56 },
+    xAxis: {
+      type: 'category',
+      data: subjects,
+      axisLabel: {
+        interval: 0,
+        rotate: subjects.length > 6 ? 30 : 0,
+        color: (value: string) => (value === selectedSubject ? '#1677ff' : '#666'),
+        fontWeight: (value: string) => (value === selectedSubject ? ('bold' as const) : ('normal' as const)),
+      },
+    },
+    yAxis: {
+      type: 'value',
+      name: '次数',
+      minInterval: 1,
+      splitLine: { lineStyle: { type: 'dashed' } },
+    },
+    series: STATUS_ORDER.map((status) => ({
+      name: REVIEW_STATUS_LABELS[status],
+      type: 'bar',
+      stack: 'review',
+      barMaxWidth: 48,
+      emphasis: { focus: 'series' },
+      data: subjects.map((subject) => {
+        const value = counts[status][subject] || 0
+        const selected = subject === selectedSubject
+        return {
+          value,
+          itemStyle: {
+            color: STATUS_COLORS[status],
+            borderRadius: status === 'normal' ? [2, 2, 0, 0] : 0,
+            opacity: selectedSubject && !selected ? 0.45 : 1,
+            borderColor: selected ? '#1677ff' : 'transparent',
+            borderWidth: selected ? 2 : 0,
+          },
+        }
+      }),
+    })),
+  }
+
+  const onEvents = {
+    click: (params: { componentType?: string; name?: string }) => {
+      if (params.componentType === 'series' && params.name) {
+        onSubjectSelect?.(params.name)
+      }
+    },
+  }
+
+  return (
+    <div>
+      <ReactECharts
+        option={option}
+        style={{ height: 360, width: '100%' }}
+        notMerge
+        onEvents={onEvents}
+      />
+      <p style={{ color: '#888', fontSize: 12, marginTop: 8 }}>
+        柱状图按科目展示各状态次数（分色堆叠）；点击科目查看每次考试详情，存在问题标红
+      </p>
+    </div>
+  )
+}

frontend/src/components/ReviewSubjectDetail.tsx

@@ -0,0 +1,137 @@
+import { Tag, Typography } from 'antd'
+import { useMemo } from 'react'
+import type { Exam } from '../types'
+import {
+  EXAM_TYPE_LABELS,
+  REVIEW_STATUS_LABELS,
+  hasReviewProblem,
+} from '../types'
+import type { ReviewStatus } from '../types'
+
+interface Props {
+  exams: Exam[]
+  subjectName: string | null
+}
+
+interface DetailRow {
+  key: string
+  examDate: string
+  examType: string
+  title: string | null
+  scoreText: string
+  ratioText: string
+  statuses: ReviewStatus[]
+  isProblem: boolean
+}
+
+const STATUS_TAG_COLOR: Record<ReviewStatus, string> = {
+  careless: 'orange',
+  unknown: 'red',
+  nervous: 'purple',
+  normal: 'green',
+}
+
+export default function ReviewSubjectDetail({ exams, subjectName }: Props) {
+  const rows = useMemo(() => {
+    if (!subjectName) return []
+    const result: DetailRow[] = []
+    for (const exam of exams) {
+      const score = exam.scores.find(
+        (s) => (s.subject_name || `科目${s.subject_id}`) === subjectName,
+      )
+      if (!score || !score.review_statuses?.length) continue
+      result.push({
+        key: exam.id,
+        examDate: exam.exam_date,
+        examType: EXAM_TYPE_LABELS[exam.exam_type],
+        title: exam.title,
+        scoreText: `${score.obtained_score}/${score.total_score}`,
+        ratioText: `${(score.ratio * 100).toFixed(1)}%`,
+        statuses: score.review_statuses,
+        isProblem: hasReviewProblem(score.review_statuses),
+      })
+    }
+    return result.sort((a, b) => b.examDate.localeCompare(a.examDate))
+  }, [exams, subjectName])
+
+  if (!subjectName) {
+    return (
+      <Typography.Text type="secondary" style={{ display: 'block', padding: '12px 0' }}>
+        点击上方柱状图中的科目，查看各次考试详情
+      </Typography.Text>
+    )
+  }
+
+  if (rows.length === 0) {
+    return (
+      <Typography.Text type="secondary" style={{ display: 'block', padding: '12px 0' }}>
+        {subjectName} 暂无复盘记录
+      </Typography.Text>
+    )
+  }
+
+  const problemCount = rows.filter((r) => r.isProblem).length
+
+  return (
+    <div style={{ marginTop: 16 }}>
+      <Typography.Text strong style={{ fontSize: 15 }}>
+        {subjectName} · 考试明细
+      </Typography.Text>
+      <Typography.Text type="secondary" style={{ marginLeft: 12, fontSize: 12 }}>
+        共 {rows.length} 次，其中 {problemCount} 次存在问题
+      </Typography.Text>
+      <div style={{ marginTop: 12, display: 'flex', flexDirection: 'column', gap: 8 }}>
+        {rows.map((row) => (
+          <div
+            key={row.key}
+            style={{
+              display: 'flex',
+              alignItems: 'center',
+              gap: 10,
+              flexWrap: 'nowrap',
+              overflowX: 'auto',
+              whiteSpace: 'nowrap',
+              padding: '10px 14px',
+              borderRadius: 8,
+              border: `1px solid ${row.isProblem ? '#ffccc7' : '#f0f0f0'}`,
+              background: row.isProblem ? '#fff2f0' : '#fafafa',
+            }}
+          >
+            <Typography.Text strong style={{ color: row.isProblem ? '#cf1322' : undefined }}>
+              {row.examDate}
+            </Typography.Text>
+            <Typography.Text style={{ color: row.isProblem ? '#cf1322' : '#666' }}>
+              {row.examType}
+            </Typography.Text>
+            {row.title && (
+              <Typography.Text style={{ color: row.isProblem ? '#cf1322' : '#888' }}>
+                {row.title}
+              </Typography.Text>
+            )}
+            <Typography.Text style={{ color: row.isProblem ? '#cf1322' : undefined }}>
+              得分 {row.scoreText}（{row.ratioText}）
+            </Typography.Text>
+            <Typography.Text
+              type={row.isProblem ? 'danger' : 'secondary'}
+              style={{ fontSize: 13 }}
+            >
+              状态
+            </Typography.Text>
+            {row.statuses.map((status) => (
+              <Tag
+                key={status}
+                color={STATUS_TAG_COLOR[status]}
+                style={{
+                  marginInlineEnd: 0,
+                  ...(row.isProblem && status !== 'normal' ? { fontWeight: 600 } : {}),
+                }}
+              >
+                {REVIEW_STATUS_LABELS[status]}
+              </Tag>
+            ))}
+          </div>
+        ))}
+      </div>
+    </div>
+  )
+}

frontend/src/components/ScoreForm.tsx

@@ -1,10 +1,10 @@
 import { DeleteOutlined, EditOutlined } from '@ant-design/icons'
-import { Button, DatePicker, Form, Input, InputNumber, Modal, Select, Space, Table, message } from 'antd'
+import { Button, Checkbox, DatePicker, Form, Input, InputNumber, Modal, Select, Space, Table, message } from 'antd'
 import dayjs from 'dayjs'
 import { useEffect, useState } from 'react'
 import { examApi } from '../api/client'
-import type { Exam, ExamType, ScoreInput, Subject } from '../types'
+import type { Exam, ExamType, ReviewStatus, ScoreInput, Subject } from '../types'
-import { EXAM_TYPE_LABELS } from '../types'
+import { EXAM_TYPE_LABELS, REVIEW_STATUS_OPTIONS } from '../types'
 
 interface Props {
   studentId: string
@@ -28,15 +28,20 @@ export default function ScoreForm({ studentId, subjects, exams, onRefresh }: Pro
         scores: subjects.map((s) => {
           const found = editing.scores.find((sc) => sc.subject_id === s.id)
           return found
-            ? { subject_id: s.id, total_score: found.total_score, obtained_score: found.obtained_score }
+            ? {
-            : { subject_id: s.id, total_score: undefined, obtained_score: undefined }
+                subject_id: s.id,
+                total_score: found.total_score,
+                obtained_score: found.obtained_score,
+                review_statuses: found.review_statuses || [],
+              }
+            : { subject_id: s.id, total_score: undefined, obtained_score: undefined, review_statuses: [] }
         }),
       })
     } else if (modalOpen) {
       form.setFieldsValue({
         exam_type: 'weekly',
         exam_date: dayjs(),
-        scores: subjects.map((s) => ({ subject_id: s.id })),
+        scores: subjects.map((s) => ({ subject_id: s.id, review_statuses: [] })),
       })
     }
   }, [modalOpen, editing, subjects, form])
@@ -55,10 +60,11 @@ export default function ScoreForm({ studentId, subjects, exams, onRefresh }: Pro
     try {
       const values = await form.validateFields()
       const scores: ScoreInput[] = (values.scores || [])
-        .map((s: ScoreInput, idx: number) => ({
+        .map((s: ScoreInput & { review_statuses?: ReviewStatus[] }, idx: number) => ({
           subject_id: subjects[idx]?.id ?? s.subject_id,
           total_score: s.total_score,
           obtained_score: s.obtained_score,
+          review_statuses: s.review_statuses || [],
         }))
         .filter(
           (s: ScoreInput) =>
@@ -71,6 +77,7 @@ export default function ScoreForm({ studentId, subjects, exams, onRefresh }: Pro
           subject_id: s.subject_id,
           total_score: Number(s.total_score),
           obtained_score: Number(s.obtained_score),
+          review_statuses: s.review_statuses || [],
         }))
 
       if (scores.length === 0) {
@@ -165,11 +172,11 @@ export default function ScoreForm({ studentId, subjects, exams, onRefresh }: Pro
         onCancel={() => setModalOpen(false)}
         onOk={handleSubmit}
         confirmLoading={loading}
-        width={720}
+        width={900}
         destroyOnHidden
       >
         <Form form={form} layout="vertical">
-          <Space style={{ width: '100%' }} size="large">
+          <Space style={{ width: '100%' }} size="large" wrap>
             <Form.Item name="exam_type" label="考试类型" rules={[{ required: true }]}>
               <Select
                 style={{ width: 120 }}
@@ -191,9 +198,11 @@ export default function ScoreForm({ studentId, subjects, exams, onRefresh }: Pro
                 pagination={false}
                 dataSource={fields.map((f, i) => ({ ...f, subject: subjects[i] }))}
                 rowKey="key"
+                scroll={{ x: 720 }}
                 columns={[
                   {
                     title: '科目',
+                    width: 70,
                     render: (_, row) => (
                       <>
                         <Form.Item name={[row.name, 'subject_id']} hidden initialValue={row.subject?.id}>
@@ -205,22 +214,25 @@ export default function ScoreForm({ studentId, subjects, exams, onRefresh }: Pro
                   },
                   {
                     title: '总分',
+                    width: 100,
                     render: (_, row) => (
                       <Form.Item name={[row.name, 'total_score']} noStyle>
-                        <InputNumber min={0} placeholder="总分" style={{ width: 100 }} />
+                        <InputNumber min={0} placeholder="总分" style={{ width: 90 }} />
                       </Form.Item>
                     ),
                   },
                   {
                     title: '得分',
+                    width: 100,
                     render: (_, row) => (
                       <Form.Item name={[row.name, 'obtained_score']} noStyle>
-                        <InputNumber min={0} placeholder="得分" style={{ width: 100 }} />
+                        <InputNumber min={0} placeholder="得分" style={{ width: 90 }} />
                       </Form.Item>
                     ),
                   },
                   {
                     title: '占比',
+                    width: 70,
                     render: (_, row) => {
                       const total = form.getFieldValue(['scores', row.name, 'total_score'])
                       const obtained = form.getFieldValue(['scores', row.name, 'obtained_score'])
@@ -230,6 +242,14 @@ export default function ScoreForm({ studentId, subjects, exams, onRefresh }: Pro
                       return '-'
                     },
                   },
+                  {
+                    title: '考试状态',
+                    render: (_, row) => (
+                      <Form.Item name={[row.name, 'review_statuses']} noStyle initialValue={[]}>
+                        <Checkbox.Group options={REVIEW_STATUS_OPTIONS} />
+                      </Form.Item>
+                    ),
+                  },
                 ]}
               />
             )}

frontend/src/components/StudentAvatar.tsx

@@ -0,0 +1,48 @@
+import { UserOutlined } from '@ant-design/icons'
+import { Avatar } from 'antd'
+import { useEffect, useState } from 'react'
+import api from '../api/client'
+import type { Student } from '../types'
+
+interface Props {
+  student: Pick<Student, 'id' | 'name' | 'has_avatar'>
+  size?: number
+}
+
+export default function StudentAvatar({ student, size = 40 }: Props) {
+  const [src, setSrc] = useState<string | null>(null)
+
+  useEffect(() => {
+    if (!student.has_avatar) {
+      setSrc(null)
+      return
+    }
+    let objectUrl: string | null = null
+    let cancelled = false
+    api
+      .get(`/students/${student.id}/avatar`, { responseType: 'blob' })
+      .then((res) => {
+        if (cancelled) return
+        objectUrl = URL.createObjectURL(res.data)
+        setSrc(objectUrl)
+      })
+      .catch(() => {
+        if (!cancelled) setSrc(null)
+      })
+    return () => {
+      cancelled = true
+      if (objectUrl) URL.revokeObjectURL(objectUrl)
+    }
+  }, [student.id, student.has_avatar])
+
+  return (
+    <Avatar
+      size={size}
+      src={src || undefined}
+      icon={!src ? <UserOutlined /> : undefined}
+      style={{ backgroundColor: src ? undefined : '#1677ff', flexShrink: 0 }}
+    >
+      {!src ? student.name.slice(0, 1) : null}
+    </Avatar>
+  )
+}

frontend/src/components/StudentFormFields.tsx

@@ -0,0 +1,49 @@
+import { Form, Input, Select } from 'antd'
+import { GRADE_OPTIONS, SCHOOL_LEVEL_LABELS } from '../constants/school'
+import type { SchoolLevel } from '../types'
+
+export interface StudentFormValues {
+  name: string
+  school_level: SchoolLevel
+  school_name?: string
+  grade?: string
+  class_name?: string
+}
+
+interface Props {
+  form: ReturnType<typeof Form.useForm<StudentFormValues>>[0]
+}
+
+export default function StudentFormFields({ form }: Props) {
+  const schoolLevel = Form.useWatch('school_level', form) as SchoolLevel | undefined
+
+  return (
+    <>
+      <Form.Item name="name" label="姓名" rules={[{ required: true, message: '请输入姓名' }]}>
+        <Input placeholder="学生姓名" />
+      </Form.Item>
+      <Form.Item name="school_name" label="学校">
+        <Input placeholder="如：XX中学" />
+      </Form.Item>
+      <Form.Item name="school_level" label="学段" rules={[{ required: true }]}>
+        <Select
+          options={Object.entries(SCHOOL_LEVEL_LABELS).map(([value, label]) => ({ value, label }))}
+          onChange={() => form.setFieldValue('grade', undefined)}
+        />
+      </Form.Item>
+      <Form.Item name="grade" label="年级" rules={[{ required: true, message: '请选择年级' }]}>
+        <Select
+          allowClear
+          placeholder={schoolLevel === 'senior_high' ? '请选择高几' : '请选择初几'}
+          options={(GRADE_OPTIONS[schoolLevel || 'junior_high'] || []).map((item) => ({
+            value: item.value,
+            label: item.label,
+          }))}
+        />
+      </Form.Item>
+      <Form.Item name="class_name" label="班级">
+        <Input placeholder="如：3 或 3班" />
+      </Form.Item>
+    </>
+  )
+}

frontend/src/components/StudentSettingsPanel.tsx

@@ -0,0 +1,115 @@
+import { DeleteOutlined, UploadOutlined } from '@ant-design/icons'
+import { Button, Form, Popconfirm, Space, Typography, Upload, message } from 'antd'
+import { useEffect, useState } from 'react'
+import { useNavigate } from 'react-router-dom'
+import { studentApi } from '../api/client'
+import type { Student } from '../types'
+import StudentAvatar from './StudentAvatar'
+import StudentFormFields, { type StudentFormValues } from './StudentFormFields'
+
+interface Props {
+  student: Student
+  onUpdated: (student: Student) => void
+}
+
+export default function StudentSettingsPanel({ student, onUpdated }: Props) {
+  const navigate = useNavigate()
+  const [form] = Form.useForm<StudentFormValues>()
+  const [saving, setSaving] = useState(false)
+  const [avatarLoading, setAvatarLoading] = useState(false)
+  const [current, setCurrent] = useState(student)
+
+  useEffect(() => {
+    setCurrent(student)
+    form.setFieldsValue({
+      name: student.name,
+      school_name: student.school_name || undefined,
+      school_level: student.school_level,
+      grade: student.grade || undefined,
+      class_name: student.class_name || undefined,
+    })
+  }, [student, form])
+
+  const handleSave = async () => {
+    const values = await form.validateFields()
+    setSaving(true)
+    try {
+      const { data } = await studentApi.update(student.id, values)
+      setCurrent(data)
+      onUpdated(data)
+      message.success('学生资料已保存')
+    } finally {
+      setSaving(false)
+    }
+  }
+
+  const handleAvatar = async (file: File) => {
+    setAvatarLoading(true)
+    try {
+      const { data } = await studentApi.uploadAvatar(student.id, file)
+      setCurrent(data)
+      onUpdated(data)
+      message.success('头像已更新')
+    } catch {
+      message.error('头像上传失败')
+    } finally {
+      setAvatarLoading(false)
+    }
+    return false
+  }
+
+  const handleRemoveAvatar = async () => {
+    const { data } = await studentApi.removeAvatar(student.id)
+    setCurrent(data)
+    onUpdated(data)
+    message.success('头像已移除')
+  }
+
+  const handleDelete = async () => {
+    await studentApi.remove(student.id)
+    message.success('学生已删除')
+    navigate('/')
+  }
+
+  return (
+    <Space direction="vertical" size="large" style={{ width: '100%', maxWidth: 520 }}>
+      <Typography.Paragraph type="secondary" style={{ marginBottom: 0 }}>
+        在此修改学生基本信息。年级按学段选择（初一至初三 / 高一至高三），供 AI 与统计按课内要求使用。
+      </Typography.Paragraph>
+
+      <Space align="center" size="middle">
+        <StudentAvatar student={current} size={72} />
+        <Space direction="vertical" size={8}>
+          <Upload beforeUpload={handleAvatar} showUploadList={false} accept="image/*">
+            <Button icon={<UploadOutlined />} loading={avatarLoading}>
+              上传头像
+            </Button>
+          </Upload>
+          {current.has_avatar && (
+            <Button size="small" danger onClick={handleRemoveAvatar}>
+              移除头像
+            </Button>
+          )}
+        </Space>
+      </Space>
+
+      <Form form={form} layout="vertical">
+        <StudentFormFields form={form} />
+        <Space wrap>
+          <Button type="primary" loading={saving} onClick={handleSave}>
+            保存资料
+          </Button>
+          <Popconfirm
+            title="确定删除该学生？"
+            description="将同时删除其成绩、错题、作文等全部数据，且不可恢复。"
+            onConfirm={handleDelete}
+          >
+            <Button danger icon={<DeleteOutlined />}>
+              删除学生
+            </Button>
+          </Popconfirm>
+        </Space>
+      </Form>
+    </Space>
+  )
+}

frontend/src/components/WrongQuestionList.tsx

@@ -0,0 +1,121 @@
+import { DeleteOutlined } from '@ant-design/icons'
+import { Button, Popconfirm, Space, Tag, Typography, message } from 'antd'
+import { useEffect } from 'react'
+import { wrongQuestionApi } from '../api/client'
+import type { WrongQuestion } from '../types'
+import { isWrongQuestionProcessing, processingHint } from '../utils/wqProcessing'
+import { STATUS_LABELS } from '../types'
+import AuthenticatedImage from './AuthenticatedImage'
+import WrongQuestionDetail from '../pages/WrongQuestionDetail'
+
+interface Props {
+  items: WrongQuestion[]
+  selectedId: string | null
+  onSelect: (id: string | null) => void
+  onRefresh: () => void
+  emptyText?: string
+  pollWhenProcessing?: boolean
+}
+
+function cardSummary(wq: WrongQuestion): { tone: 'error' | 'pending' | 'normal'; text: string } {
+  if (wq.error_message) {
+    return { tone: 'error', text: wq.error_message }
+  }
+  if (isWrongQuestionProcessing(wq)) {
+    return { tone: 'pending', text: processingHint(wq) }
+  }
+  return {
+    tone: 'normal',
+    text: wq.question_text || wq.ocr_raw_text || STATUS_LABELS[wq.status],
+  }
+}
+
+export default function WrongQuestionList({
+  items,
+  selectedId,
+  onSelect,
+  onRefresh,
+  emptyText = '暂无记录',
+  pollWhenProcessing = true,
+}: Props) {
+  const hasProcessing = pollWhenProcessing && items.some(isWrongQuestionProcessing)
+
+  useEffect(() => {
+    if (!hasProcessing) return
+    const timer = window.setInterval(() => onRefresh(), 4000)
+    return () => window.clearInterval(timer)
+  }, [hasProcessing, onRefresh])
+
+  const handleDelete = async (id: string) => {
+    try {
+      await wrongQuestionApi.remove(id)
+      message.success('已删除')
+      if (selectedId === id) onSelect(null)
+      onRefresh()
+    } catch {
+      message.error('删除失败')
+    }
+  }
+
+  return (
+    <>
+      <div className="wq-grid">
+        {items.map((wq) => {
+          const summary = cardSummary(wq)
+          return (
+            <div key={wq.id} className="wq-card">
+              <div className="wq-card-click" onClick={() => onSelect(wq.id)}>
+                <AuthenticatedImage questionId={wq.id} variant="annotated" alt="题目" className="wq-card-img" />
+                <div className="wq-card-body">
+                  <Space size={4} wrap>
+                    <Typography.Text strong>{wq.subject_name}</Typography.Text>
+                    {wq.category === 'olympiad' && <Tag color="gold">奥数</Tag>}
+                    <Tag color={wq.error_message || wq.status === 'failed' ? 'error' : isWrongQuestionProcessing(wq) ? 'processing' : 'default'}>
+                      {wq.error_message ? '失败' : STATUS_LABELS[wq.status]}
+                    </Tag>
+                  </Space>
+                  <Typography.Paragraph
+                    ellipsis={{ rows: 3 }}
+                    style={{
+                      margin: '8px 0 0',
+                      fontSize: 13,
+                      color: summary.tone === 'error' ? '#ff4d4f' : summary.tone === 'pending' ? '#1677ff' : undefined,
+                    }}
+                  >
+                    {summary.text}
+                  </Typography.Paragraph>
+                </div>
+              </div>
+              <div className="wq-card-actions">
+                <Popconfirm title="确定删除该题？" onConfirm={() => handleDelete(wq.id)}>
+                  <Button
+                    type="text"
+                    danger
+                    size="small"
+                    icon={<DeleteOutlined />}
+                    onClick={(e) => e.stopPropagation()}
+                  >
+                    删除
+                  </Button>
+                </Popconfirm>
+              </div>
+            </div>
+          )
+        })}
+      </div>
+      {items.length === 0 && <Typography.Text type="secondary">{emptyText}</Typography.Text>}
+      {selectedId && (
+        <WrongQuestionDetail
+          questionId={selectedId}
+          open={!!selectedId}
+          onClose={() => onSelect(null)}
+          onUpdated={onRefresh}
+          onDeleted={() => {
+            onSelect(null)
+            onRefresh()
+          }}
+        />
+      )}
+    </>
+  )
+}

frontend/src/components/WrongQuestionUpload.tsx

@@ -1,62 +1,171 @@
-import { ReloadOutlined, UploadOutlined } from '@ant-design/icons'
+import { CameraOutlined, PictureOutlined, ReloadOutlined, UploadOutlined } from '@ant-design/icons'
-import { Button, Input, Select, Space, Upload, message } from 'antd'
+import { Button, Input, Select, Space, Typography, Upload, message } from 'antd'
-import { useState } from 'react'
+import { useEffect, useMemo, useRef, useState } from 'react'
 import { wrongQuestionApi } from '../api/client'
-import type { Subject } from '../types'
+import type { Subject, WrongQuestionCategory } from '../types'
+import ImageCropModal from './ImageCropModal'
 
 interface Props {
   studentId: string
   subjects: Subject[]
+  category: WrongQuestionCategory
   onUploaded: () => void
 }
 
-export default function WrongQuestionUpload({ studentId, subjects, onUploaded }: Props) {
+export default function WrongQuestionUpload({ studentId, subjects, category, onUploaded }: Props) {
-  const [subjectId, setSubjectId] = useState<number | undefined>(subjects[0]?.id)
+  const isOlympiad = category === 'olympiad'
+  const availableSubjects = useMemo(
+    () => (isOlympiad ? subjects.filter((s) => s.name === '数学') : subjects),
+    [subjects, isOlympiad],
+  )
+  const [subjectId, setSubjectId] = useState<number | undefined>()
   const [uploading, setUploading] = useState(false)
+  const [cropOpen, setCropOpen] = useState(false)
+  const [cropSrc, setCropSrc] = useState<string | null>(null)
+  const [pendingFile, setPendingFile] = useState<File | null>(null)
+  const cameraRef = useRef<HTMLInputElement>(null)
 
-  const handleUpload = async (file: File) => {
+  useEffect(() => {
+    if (availableSubjects.length) {
+      setSubjectId(availableSubjects[0].id)
+    }
+  }, [availableSubjects])
+
+  const closeCrop = () => {
+    if (cropSrc) URL.revokeObjectURL(cropSrc)
+    setCropOpen(false)
+    setCropSrc(null)
+    setPendingFile(null)
+  }
+
+  const openCrop = (file: File) => {
     if (!subjectId) {
-      message.warning('请选择科目')
+      message.warning(isOlympiad ? '未找到数学科目' : '请选择科目')
-      return false
+      return
+    }
+    setCropSrc(URL.createObjectURL(file))
+    setPendingFile(file)
+    setCropOpen(true)
+  }
+
+  const doUpload = async (file: File) => {
+    if (!subjectId) {
+      message.warning(isOlympiad ? '未找到数学科目' : '请选择科目')
+      return
     }
     setUploading(true)
     try {
-      await wrongQuestionApi.upload(studentId, subjectId, file)
+      await wrongQuestionApi.upload(studentId, subjectId, file, category)
-      message.success('上传成功，正在 OCR 识别并生成解法…')
+      message.success('上传成功，正在识别并生成解法…')
       onUploaded()
     } catch {
       message.error('上传失败')
     } finally {
       setUploading(false)
     }
+  }
+
+  const handlePickFile = (file: File) => {
+    openCrop(file)
     return false
   }
 
+  const handleCamera = (e: React.ChangeEvent<HTMLInputElement>) => {
+    const file = e.target.files?.[0]
+    e.target.value = ''
+    if (file) openCrop(file)
+  }
+
+  const handleCropConfirm = async (file: File) => {
+    closeCrop()
+    await doUpload(file)
+  }
+
+  const handleSkipCrop = async (file: File) => {
+    closeCrop()
+    await doUpload(file)
+  }
+
   return (
-    <Space wrap style={{ marginBottom: 16 }}>
+    <Space direction="vertical" size="middle" style={{ width: '100%', marginBottom: 16 }}>
+      {isOlympiad ? (
+        <Typography.Text>科目：数学（奥数区仅支持数学）</Typography.Text>
+      ) : (
         <Select
-        style={{ width: 120 }}
+          style={{ width: '100%', maxWidth: 200 }}
           placeholder="选择科目"
           value={subjectId}
           onChange={setSubjectId}
-        options={subjects.map((s) => ({ value: s.id, label: s.name }))}
+          options={availableSubjects.map((s) => ({ value: s.id, label: s.name }))}
         />
-      <Upload beforeUpload={handleUpload} showUploadList={false} accept="image/*">
+      )}
-        <Button icon={<UploadOutlined />} loading={uploading} type="primary">
+      <Space wrap className="upload-actions">
-          上传错题图片
+        <span className="upload-mobile-only">
+          <Upload beforeUpload={handlePickFile} showUploadList={false} accept="image/*">
+            <Button icon={<PictureOutlined />} loading={uploading} type="primary" size="large">
+              相册选图
             </Button>
           </Upload>
+          <Button
+            icon={<CameraOutlined />}
+            loading={uploading}
+            size="large"
+            onClick={() => cameraRef.current?.click()}
+          >
+            拍照上传
+          </Button>
+          <input
+            ref={cameraRef}
+            type="file"
+            accept="image/*"
+            capture="environment"
+            style={{ display: 'none' }}
+            onChange={handleCamera}
+          />
+        </span>
+        <span className="upload-desktop-only">
+          <Upload beforeUpload={handlePickFile} showUploadList={false} accept="image/*">
+            <Button icon={<UploadOutlined />} loading={uploading} type="primary" size="large">
+              上传图片
+            </Button>
+          </Upload>
+        </span>
+        {!isOlympiad && (
+          <span className="upload-mobile-only">
+            <Upload beforeUpload={handlePickFile} showUploadList={false} accept="image/*">
+              <Button icon={<UploadOutlined />} loading={uploading} size="large">
+                上传图片
+              </Button>
+            </Upload>
+          </span>
+        )}
+      </Space>
+      {isOlympiad && (
+        <span style={{ color: '#666', fontSize: 13 }}>
+          奥数区仅数学，按学生学段（初中/高中）生成解题思路，严禁超纲
+        </span>
+      )}
+      <ImageCropModal
+        open={cropOpen}
+        imageSrc={cropSrc}
+        filename={pendingFile?.name || 'question.jpg'}
+        originalFile={pendingFile}
+        onCancel={closeCrop}
+        onConfirm={handleCropConfirm}
+        onSkip={handleSkipCrop}
+      />
     </Space>
   )
 }
 
 interface SearchProps {
   subjectId?: number
-  onSubjectChange: (id?: number) => void
+  onSubjectChange?: (id?: number) => void
   search: string
   onSearchChange: (q: string) => void
   onRefresh: () => void
   subjects: Subject[]
+  hideSubjectFilter?: boolean
 }
 
 export function WrongQuestionFilters({
@@ -66,23 +175,26 @@ export function WrongQuestionFilters({
   onSearchChange,
   onRefresh,
   subjects,
+  hideSubjectFilter,
 }: SearchProps) {
   return (
-    <Space wrap style={{ marginBottom: 16 }}>
+    <Space wrap style={{ marginBottom: 16, width: '100%' }}>
+      {!hideSubjectFilter && (
         <Select
           allowClear
-        style={{ width: 140 }}
+          style={{ width: '100%', maxWidth: 140 }}
           placeholder="全部科目"
           value={subjectId}
           onChange={onSubjectChange}
           options={subjects.map((s) => ({ value: s.id, label: s.name }))}
         />
+      )}
       <Input.Search
         placeholder="搜索题目/解法"
         value={search}
         onChange={(e) => onSearchChange(e.target.value)}
-        onSearch={onRefresh}
+        onSearch={() => onRefresh()}
-        style={{ width: 220 }}
+        style={{ width: '100%', maxWidth: 260 }}
         allowClear
       />
       <Button icon={<ReloadOutlined />} onClick={onRefresh}>

frontend/src/constants/school.ts

@@ -7,20 +7,44 @@ export const SCHOOL_LEVEL_LABELS: Record<SchoolLevel, string> = {
   senior_high: '高中',
 }
 
-export const GRADE_OPTIONS: Record<SchoolLevel, string[]> = {
+export const GRADE_OPTIONS: Record<SchoolLevel, { value: string; label: string }[]> = {
-  junior_high: ['初一', '初二', '初三'],
+  junior_high: [
-  senior_high: ['高一', '高二', '高三'],
+    { value: '初一', label: '初一（七年级）' },
+    { value: '初二', label: '初二（八年级）' },
+    { value: '初三', label: '初三（九年级）' },
+  ],
+  senior_high: [
+    { value: '高一', label: '高一（十年级）' },
+    { value: '高二', label: '高二（十一年级）' },
+    { value: '高三', label: '高三（十二年级）' },
+  ],
 }
 
-export function formatStudentMeta(student: {
+export function formatStudentMeta(
+  student: {
     school_level: SchoolLevel
+    school_name?: string | null
+    grade?: string | null
+    class_name?: string | null
+  },
+  options?: { includeLevel?: boolean },
+): string {
+  const parts: string[] = []
+  if (student.school_name?.trim()) parts.push(student.school_name.trim())
+  if (options?.includeLevel !== false) parts.push(SCHOOL_LEVEL_LABELS[student.school_level])
+  if (student.grade) parts.push(student.grade)
+  if (student.class_name) {
+    const cls = student.class_name.trim()
+    parts.push(cls.endsWith('班') ? cls : `${cls}班`)
+  }
+  return parts.length ? parts.join(' · ') : '未设置年级信息'
+}
+
+export function formatStudentSubtitle(student: {
+  school_level: SchoolLevel
+  school_name?: string | null
   grade?: string | null
   class_name?: string | null
 }): string {
-  const parts = [
+  return formatStudentMeta(student, { includeLevel: false })
-    SCHOOL_LEVEL_LABELS[student.school_level],
-    student.grade,
-    student.class_name,
-  ].filter(Boolean)
-  return parts.length ? parts.join(' · ') : '未设置学段年级'
 }

frontend/src/index.css

@@ -8,18 +8,130 @@ body {
     sans-serif;
   background: #f5f5f5;
   -webkit-font-smoothing: antialiased;
+  -webkit-tap-highlight-color: transparent;
 }
 
 #root {
   min-height: 100vh;
+  min-height: 100dvh;
 }
 
 a {
   color: inherit;
 }
 
-@media (max-width: 576px) {
+.page-container {
+  max-width: 1100px;
+  margin: 0 auto;
+  padding: 16px 16px 32px;
+  padding-bottom: max(32px, env(safe-area-inset-bottom));
+}
+
+.page-header {
+  margin-bottom: 16px;
+  width: 100%;
+}
+
+.student-tabs .ant-tabs-nav {
+  margin-bottom: 12px;
+}
+
+.wq-grid {
+  display: grid;
+  grid-template-columns: repeat(auto-fill, minmax(min(100%, 260px), 1fr));
+  gap: 16px;
+}
+
+.wq-card {
+  border: 1px solid #f0f0f0;
+  border-radius: 8px;
+  overflow: hidden;
+  background: #fff;
+  transition: box-shadow 0.2s;
+  display: flex;
+  flex-direction: column;
+}
+
+.wq-card-click {
+  cursor: pointer;
+  flex: 1;
+}
+
+.wq-card-click:active {
+  opacity: 0.95;
+}
+
+.wq-card-actions {
+  padding: 4px 8px 8px;
+  border-top: 1px solid #f5f5f5;
+  text-align: right;
+}
+
+.wq-card-img {
+  width: 100%;
+  height: 140px;
+  object-fit: cover;
+  background: #fafafa;
+}
+
+.wq-card-body {
+  padding: 12px;
+}
+
+.upload-actions .ant-btn {
+  min-height: 44px;
+}
+
+.upload-mobile-only {
+  display: none;
+}
+
+.upload-desktop-only {
+  display: inline-flex;
+}
+
+@media (max-width: 768px) {
+  .page-container {
+    padding: 12px 12px 24px;
+  }
+
+  .ant-tabs-tab {
+    padding: 8px 10px !important;
+    font-size: 14px;
+  }
+
+  .ant-modal {
+    max-width: calc(100vw - 16px) !important;
+    margin: 8px auto !important;
+  }
+
   .ant-table {
     font-size: 12px;
   }
+
+  .upload-actions {
+    width: 100%;
+  }
+
+  .upload-mobile-only {
+    display: inline-flex;
+    flex-wrap: wrap;
+    gap: 8px;
+    width: 100%;
+  }
+
+  .upload-desktop-only {
+    display: none;
+  }
+
+  .upload-actions .ant-btn {
+    flex: 1;
+    min-width: 120px;
+  }
+}
+
+@media (max-width: 576px) {
+  .wq-card-img {
+    height: 120px;
+  }
 }

frontend/src/pages/LoginPage.tsx

@@ -1,7 +1,9 @@
 import { LockOutlined, UserOutlined } from '@ant-design/icons'
-import { Button, Card, Form, Input, Tabs, Typography, message } from 'antd'
+import { Button, Card, Form, Input, Spin, Tabs, Typography, message } from 'antd'
 import axios from 'axios'
+import { useEffect, useState } from 'react'
 import { Navigate, useNavigate } from 'react-router-dom'
+import { settingsApi } from '../api/client'
 import { useAuth } from '../context/AuthContext'
 
 function apiErrorMessage(error: unknown, fallback: string) {
@@ -18,6 +20,16 @@ export default function LoginPage() {
   const navigate = useNavigate()
   const [loginForm] = Form.useForm()
   const [registerForm] = Form.useForm()
+  const [registrationEnabled, setRegistrationEnabled] = useState(true)
+  const [settingsLoading, setSettingsLoading] = useState(true)
+
+  useEffect(() => {
+    settingsApi
+      .public()
+      .then((res) => setRegistrationEnabled(res.data.registration_enabled))
+      .catch(() => setRegistrationEnabled(true))
+      .finally(() => setSettingsLoading(false))
+  }, [])
 
   if (!loading && user) return <Navigate to="/" replace />
 
@@ -45,23 +57,7 @@ export default function LoginPage() {
     }
   }
 
-  return (
+  const tabItems = [
-    <div
-      style={{
-        minHeight: '100vh',
-        display: 'flex',
-        alignItems: 'center',
-        justifyContent: 'center',
-        background: 'linear-gradient(135deg, #667eea 0%, #764ba2 100%)',
-        padding: 16,
-      }}
-    >
-      <Card style={{ width: '100%', maxWidth: 420 }} title="中学生成绩档案">
-        <Typography.Paragraph type="secondary" style={{ textAlign: 'center' }}>
-          成绩录入 · 趋势分析 · 错题管理
-        </Typography.Paragraph>
-        <Tabs
-          items={[
     {
       key: 'login',
       label: '登录',
@@ -79,7 +75,10 @@ export default function LoginPage() {
         </Form>
       ),
     },
-            {
+  ]
+
+  if (registrationEnabled) {
+    tabItems.push({
       key: 'register',
       label: '注册',
       children: (
@@ -102,10 +101,7 @@ export default function LoginPage() {
           >
             <Input.Password prefix={<LockOutlined />} placeholder="密码" />
           </Form.Item>
-                  <Form.Item
+          <Form.Item name="confirm" rules={[{ required: true, message: '请确认密码' }]}>
-                    name="confirm"
-                    rules={[{ required: true, message: '请确认密码' }]}
-                  >
             <Input.Password prefix={<LockOutlined />} placeholder="确认密码" />
           </Form.Item>
           <Button type="primary" htmlType="submit" block>
@@ -113,9 +109,32 @@ export default function LoginPage() {
           </Button>
         </Form>
       ),
-            },
+    })
-          ]}
+  }
-        />
+
+  return (
+    <div
+      style={{
+        minHeight: '100vh',
+        display: 'flex',
+        alignItems: 'center',
+        justifyContent: 'center',
+        background: 'linear-gradient(135deg, #667eea 0%, #764ba2 100%)',
+        padding: 16,
+      }}
+    >
+      <Card style={{ width: '100%', maxWidth: 420 }} title="中学生成绩档案">
+        <Typography.Paragraph type="secondary" style={{ textAlign: 'center' }}>
+          成绩录入 · 趋势分析 · 错题管理
+        </Typography.Paragraph>
+        <Spin spinning={settingsLoading}>
+          {!settingsLoading && !registrationEnabled && (
+            <Typography.Paragraph type="secondary" style={{ textAlign: 'center', marginBottom: 16 }}>
+              注册已关闭，请联系管理员获取账号
+            </Typography.Paragraph>
+          )}
+          <Tabs items={tabItems} />
+        </Spin>
         <Typography.Paragraph
           type="secondary"
           style={{ textAlign: 'center', fontSize: 12, marginTop: 16, marginBottom: 0 }}

frontend/src/pages/SettingsPage.tsx

@@ -0,0 +1,494 @@
+import { DownloadOutlined, LockOutlined, SettingOutlined, UploadOutlined, UserOutlined } from '@ant-design/icons'
+import {
+  Alert,
+  Button,
+  Card,
+  Form,
+  Input,
+  Modal,
+  Popconfirm,
+  Radio,
+  Space,
+  Switch,
+  Table,
+  Tabs,
+  Typography,
+  Upload,
+  message,
+} from 'antd'
+import { useEffect, useState } from 'react'
+import { Link, Navigate } from 'react-router-dom'
+import { adminApi } from '../api/client'
+import { useAuth } from '../context/AuthContext'
+import type { AdminUser, AIProvider, BackupInfo, SystemSettings } from '../types'
+
+function formatBytes(size: number): string {
+  if (size < 1024) return `${size} B`
+  if (size < 1024 * 1024) return `${(size / 1024).toFixed(1)} KB`
+  return `${(size / 1024 / 1024).toFixed(1)} MB`
+}
+
+export default function SettingsPage() {
+  const { user } = useAuth()
+  const [settings, setSettings] = useState<SystemSettings | null>(null)
+  const [users, setUsers] = useState<AdminUser[]>([])
+  const [loading, setLoading] = useState(true)
+  const [profileForm] = Form.useForm()
+  const [createForm] = Form.useForm()
+  const [createOpen, setCreateOpen] = useState(false)
+  const [resetUser, setResetUser] = useState<AdminUser | null>(null)
+  const [resetForm] = Form.useForm()
+  const [aiForm] = Form.useForm()
+  const [backups, setBackups] = useState<BackupInfo[]>([])
+  const [backupLoading, setBackupLoading] = useState(false)
+  const [runningBackup, setRunningBackup] = useState(false)
+  const [restoring, setRestoring] = useState(false)
+  const aiProvider = Form.useWatch('ai_provider', aiForm) as AIProvider | undefined
+
+  if (!user?.is_superuser) return <Navigate to="/" replace />
+
+  const load = async () => {
+    setLoading(true)
+    try {
+      const [settingsRes, usersRes, backupsRes] = await Promise.all([
+        adminApi.getSettings(),
+        adminApi.listUsers(),
+        adminApi.listBackups().catch(() => ({ data: [] as BackupInfo[] })),
+      ])
+      setSettings(settingsRes.data)
+      setUsers(usersRes.data)
+      setBackups(backupsRes.data)
+      profileForm.setFieldsValue({ username: user.username })
+      aiForm.setFieldsValue({
+        ai_provider: settingsRes.data.ai_provider,
+        ollama_base_url: settingsRes.data.ollama_base_url || '',
+        ollama_model: settingsRes.data.ollama_model || '',
+        openai_base_url: settingsRes.data.openai_base_url || '',
+        openai_model: settingsRes.data.openai_model || '',
+        openai_api_key: '',
+        ocr_service_url: settingsRes.data.ocr_service_url || '',
+      })
+    } finally {
+      setLoading(false)
+    }
+  }
+
+  useEffect(() => {
+    load()
+  }, [])
+
+  const toggleRegistration = async (checked: boolean) => {
+    const { data } = await adminApi.updateSettings({ registration_enabled: checked })
+    setSettings(data)
+    message.success(checked ? '已开放注册' : '已关闭注册')
+  }
+
+  const toggleAiReview = async (checked: boolean) => {
+    const { data } = await adminApi.updateSettings({ ai_review_enabled: checked })
+    setSettings(data)
+    message.success(checked ? '已开启 AI 复盘解读' : '已关闭 AI 复盘解读')
+  }
+
+  const saveProfile = async (values: {
+    username: string
+    current_password?: string
+    password?: string
+    confirm?: string
+  }) => {
+    if (values.password && values.password !== values.confirm) {
+      message.error('两次密码不一致')
+      return
+    }
+    await adminApi.updateProfile({
+      username: values.username !== user?.username ? values.username : undefined,
+      current_password: values.password ? values.current_password : undefined,
+      password: values.password || undefined,
+    })
+    message.success('账号信息已更新，若修改了用户名或密码请重新登录')
+  }
+
+  const createUser = async (values: { username: string; password: string }) => {
+    await adminApi.createUser(values)
+    message.success('用户已创建')
+    setCreateOpen(false)
+    createForm.resetFields()
+    load()
+  }
+
+  const resetPassword = async (values: { password: string }) => {
+    if (!resetUser) return
+    await adminApi.resetUserPassword(resetUser.id, values.password)
+    message.success('密码已重置')
+    setResetUser(null)
+    resetForm.resetFields()
+  }
+
+  const removeUser = async (id: string) => {
+    await adminApi.deleteUser(id)
+    message.success('用户已删除')
+    load()
+  }
+
+  const saveAiSettings = async (values: {
+    ai_provider: AIProvider
+    ollama_base_url?: string
+    ollama_model?: string
+    openai_base_url?: string
+    openai_model?: string
+    openai_api_key?: string
+    ocr_service_url?: string
+  }) => {
+    const payload: Parameters<typeof adminApi.updateSettings>[0] = {
+      ai_provider: values.ai_provider,
+      ollama_base_url: values.ollama_base_url || null,
+      ollama_model: values.ollama_model || null,
+      openai_base_url: values.openai_base_url || null,
+      openai_model: values.openai_model || null,
+      ocr_service_url: values.ocr_service_url?.trim() || null,
+    }
+    if (values.openai_api_key?.trim()) {
+      payload.openai_api_key = values.openai_api_key.trim()
+    }
+    const { data } = await adminApi.updateSettings(payload)
+    setSettings(data)
+    aiForm.setFieldValue('openai_api_key', '')
+    message.success('AI 模型配置已保存')
+  }
+
+  const loadBackups = async () => {
+    setBackupLoading(true)
+    try {
+      const { data } = await adminApi.listBackups()
+      setBackups(data)
+    } finally {
+      setBackupLoading(false)
+    }
+  }
+
+  const handleRunBackup = async () => {
+    setRunningBackup(true)
+    try {
+      await adminApi.runBackup()
+      message.success('备份已完成')
+      await loadBackups()
+    } catch {
+      message.error('备份失败，请检查服务器 pg_dump 与目录权限')
+    } finally {
+      setRunningBackup(false)
+    }
+  }
+
+  const handleDownloadBackup = async (filename: string) => {
+    try {
+      const { data } = await adminApi.downloadBackup(filename)
+      const url = URL.createObjectURL(data)
+      const a = document.createElement('a')
+      a.href = url
+      a.download = filename
+      a.click()
+      URL.revokeObjectURL(url)
+    } catch {
+      message.error('下载失败')
+    }
+  }
+
+  const handleRestore = async (file: File) => {
+    setRestoring(true)
+    try {
+      const { data } = await adminApi.restoreBackup(file)
+      message.success(data.message || '数据已恢复')
+      await loadBackups()
+    } catch {
+      message.error('恢复失败，请确认备份包完整且未损坏')
+    } finally {
+      setRestoring(false)
+    }
+    return false
+  }
+
+  return (
+    <div className="page-container">
+      <Space direction="vertical" size="large" style={{ width: '100%' }}>
+        <div>
+          <Typography.Title level={3} style={{ margin: 0 }}>
+            系统设置
+          </Typography.Title>
+          <Typography.Text type="secondary">
+            超级管理员 · <Link to="/">返回首页</Link>
+          </Typography.Text>
+        </div>
+
+        <Tabs
+          items={[
+            {
+              key: 'general',
+              label: '基本设置',
+              children: (
+                <Space direction="vertical" size="large" style={{ width: '100%' }}>
+                  <Card title="注册开关" loading={loading}>
+                    <Space>
+                      <Switch
+                        checked={settings?.registration_enabled ?? true}
+                        onChange={toggleRegistration}
+                      />
+                      <Typography.Text>
+                        {settings?.registration_enabled
+                          ? '开放注册：用户可在登录页自行注册'
+                          : '关闭注册：仅超级管理员可添加用户'}
+                      </Typography.Text>
+                    </Space>
+                  </Card>
+
+                  <Card title="管理员账号">
+                    <Form form={profileForm} layout="vertical" onFinish={saveProfile}>
+                      <Form.Item
+                        name="username"
+                        label="用户名"
+                        rules={[{ required: true, min: 3 }]}
+                      >
+                        <Input prefix={<UserOutlined />} />
+                      </Form.Item>
+                      <Form.Item name="current_password" label="当前密码（修改密码时必填）">
+                        <Input.Password prefix={<LockOutlined />} />
+                      </Form.Item>
+                      <Form.Item name="password" label="新密码（留空则不修改）">
+                        <Input.Password prefix={<LockOutlined />} />
+                      </Form.Item>
+                      <Form.Item name="confirm" label="确认新密码">
+                        <Input.Password prefix={<LockOutlined />} />
+                      </Form.Item>
+                      <Button type="primary" htmlType="submit" icon={<SettingOutlined />}>
+                        保存
+                      </Button>
+                    </Form>
+                  </Card>
+                </Space>
+              ),
+            },
+            {
+              key: 'ai',
+              label: 'AI 模型',
+              children: (
+                <Card title="解题 AI 配置" loading={loading}>
+                  <Form form={aiForm} layout="vertical" onFinish={saveAiSettings}>
+                    <Form.Item name="ai_provider" label="AI 提供商" rules={[{ required: true }]}>
+                      <Radio.Group>
+                        <Radio.Button value="ollama">本地 Ollama</Radio.Button>
+                        <Radio.Button value="openai">OpenAI 兼容 API</Radio.Button>
+                      </Radio.Group>
+                    </Form.Item>
+                    {(aiProvider || settings?.ai_provider) === 'ollama' && (
+                      <>
+                        <Form.Item name="ollama_base_url" label="Ollama 地址">
+                          <Input placeholder="http://127.0.0.1:11434" />
+                        </Form.Item>
+                        <Form.Item name="ollama_model" label="Ollama 模型">
+                          <Input placeholder="qwen2.5:7b" />
+                        </Form.Item>
+                      </>
+                    )}
+                    {(aiProvider || settings?.ai_provider) === 'openai' && (
+                      <>
+                        <Form.Item name="openai_base_url" label="API Base URL">
+                          <Input placeholder="https://api.openai.com/v1" />
+                        </Form.Item>
+                        <Form.Item name="openai_model" label="模型名称">
+                          <Input placeholder="gpt-4o-mini" />
+                        </Form.Item>
+                        <Form.Item
+                          name="openai_api_key"
+                          label="API Key"
+                          extra={
+                            settings?.openai_api_key_set
+                              ? '已配置 Key，留空则不修改'
+                              : '请输入 API Key'
+                          }
+                        >
+                          <Input.Password placeholder="sk-..." />
+                        </Form.Item>
+                      </>
+                    )}
+                    <Form.Item
+                      name="ocr_service_url"
+                      label="OCR 服务地址（局域网 GPU 机器）"
+                      extra="留空则在应用服务器本机 CPU 识别。同机部署时填 http://127.0.0.1:23567（install.sh 已自动配置）"
+                    >
+                      <Input placeholder="http://192.168.8.100:23567" />
+                    </Form.Item>
+                    <Typography.Paragraph type="secondary">
+                      错题/奥数解法将按学生学段（初中/高中）生成，并严格禁止超纲解题。
+                    </Typography.Paragraph>
+                    <Form.Item label="AI 复盘解读">
+                      <Space>
+                        <Switch
+                          checked={settings?.ai_review_enabled ?? true}
+                          onChange={toggleAiReview}
+                        />
+                        <Typography.Text>
+                          {settings?.ai_review_enabled !== false
+                            ? '已开启：成绩复盘页可生成 AI 解读'
+                            : '已关闭：成绩复盘页不调用 AI'}
+                        </Typography.Text>
+                      </Space>
+                    </Form.Item>
+                    <Button type="primary" htmlType="submit">
+                      保存 AI 配置
+                    </Button>
+                  </Form>
+                </Card>
+              ),
+            },
+            {
+              key: 'backup',
+              label: '数据备份',
+              children: (
+                <Space direction="vertical" size="large" style={{ width: '100%' }}>
+                  <Alert
+                    type="info"
+                    showIcon
+                    message="自动备份"
+                    description="系统默认每 24 小时自动备份到 /root/grade-archive-backups，并保留最近 30 天。更换服务器时可下载备份包，在新服务器上传恢复。"
+                  />
+                  <Card
+                    title="备份管理"
+                    extra={
+                      <Button type="primary" loading={runningBackup} onClick={handleRunBackup}>
+                        立即备份
+                      </Button>
+                    }
+                  >
+                    <Table
+                      rowKey="filename"
+                      loading={backupLoading}
+                      dataSource={backups}
+                      pagination={{ pageSize: 8 }}
+                      locale={{ emptyText: '暂无备份，请点击「立即备份」' }}
+                      columns={[
+                        { title: '文件名', dataIndex: 'filename' },
+                        {
+                          title: '大小',
+                          dataIndex: 'size_bytes',
+                          render: (v: number) => formatBytes(v),
+                        },
+                        {
+                          title: '时间',
+                          dataIndex: 'created_at',
+                          render: (v: string) => new Date(v).toLocaleString(),
+                        },
+                        {
+                          title: '操作',
+                          render: (_, record) => (
+                            <Button
+                              icon={<DownloadOutlined />}
+                              onClick={() => handleDownloadBackup(record.filename)}
+                            >
+                              下载
+                            </Button>
+                          ),
+                        },
+                      ]}
+                    />
+                  </Card>
+                  <Card title="数据恢复（迁移服务器）">
+                    <Typography.Paragraph type="secondary">
+                      上传此前下载的 <Typography.Text code>grade-archive_*.tar.gz</Typography.Text>{' '}
+                      备份包。恢复会覆盖当前数据库与 uploads 目录，操作前请先备份。
+                    </Typography.Paragraph>
+                    <Upload beforeUpload={handleRestore} showUploadList={false} accept=".tar.gz,application/gzip">
+                      <Button icon={<UploadOutlined />} loading={restoring} danger>
+                        上传并恢复
+                      </Button>
+                    </Upload>
+                  </Card>
+                </Space>
+              ),
+            },
+            {
+              key: 'users',
+              label: '用户管理',
+              children: (
+                <Card
+                  title="用户列表"
+                  extra={
+                    <Button type="primary" onClick={() => setCreateOpen(true)}>
+                      添加用户
+                    </Button>
+                  }
+                >
+                  <Table
+                    rowKey="id"
+                    loading={loading}
+                    dataSource={users}
+                    pagination={false}
+                    columns={[
+                      { title: '用户名', dataIndex: 'username' },
+                      {
+                        title: '角色',
+                        dataIndex: 'is_superuser',
+                        render: (v: boolean) => (v ? '超级管理员' : '普通用户'),
+                      },
+                      {
+                        title: '创建时间',
+                        dataIndex: 'created_at',
+                        render: (v: string) => new Date(v).toLocaleString(),
+                      },
+                      {
+                        title: '操作',
+                        render: (_, record) =>
+                          record.is_superuser ? (
+                            <Typography.Text type="secondary">—</Typography.Text>
+                          ) : (
+                            <Space>
+                              <Button size="small" onClick={() => setResetUser(record)}>
+                                重置密码
+                              </Button>
+                              <Popconfirm title="确定删除该用户？" onConfirm={() => removeUser(record.id)}>
+                                <Button size="small" danger>
+                                  删除
+                                </Button>
+                              </Popconfirm>
+                            </Space>
+                          ),
+                      },
+                    ]}
+                  />
+                </Card>
+              ),
+            },
+          ]}
+        />
+      </Space>
+
+      <Modal
+        title="添加用户"
+        open={createOpen}
+        onCancel={() => setCreateOpen(false)}
+        onOk={() => createForm.submit()}
+        destroyOnHidden
+      >
+        <Form form={createForm} layout="vertical" onFinish={createUser}>
+          <Form.Item name="username" label="用户名" rules={[{ required: true, min: 3 }]}>
+            <Input />
+          </Form.Item>
+          <Form.Item name="password" label="密码" rules={[{ required: true, min: 6 }]}>
+            <Input.Password />
+          </Form.Item>
+        </Form>
+      </Modal>
+
+      <Modal
+        title={`重置密码 — ${resetUser?.username}`}
+        open={!!resetUser}
+        onCancel={() => setResetUser(null)}
+        onOk={() => resetForm.submit()}
+        destroyOnHidden
+      >
+        <Form form={resetForm} layout="vertical" onFinish={resetPassword}>
+          <Form.Item name="password" label="新密码" rules={[{ required: true, min: 6 }]}>
+            <Input.Password />
+          </Form.Item>
+        </Form>
+      </Modal>
+    </div>
+  )
+}

frontend/src/pages/StudentDetailPage.tsx

@@ -1,30 +1,44 @@
 import { ArrowLeftOutlined, DownloadOutlined } from '@ant-design/icons'
 import { Button, Select, Space, Spin, Tabs, Tag, Typography, message } from 'antd'
-import { useCallback, useEffect, useState } from 'react'
+import { useCallback, useEffect, useMemo, useState } from 'react'
-import { Link, useParams } from 'react-router-dom'
+import { Link, useParams, useSearchParams } from 'react-router-dom'
 import { examApi, studentApi, subjectApi, wrongQuestionApi } from '../api/client'
 import ScoreForm from '../components/ScoreForm'
 import ScoreOverview from '../components/ScoreOverview'
 import TrendChart from '../components/TrendChart'
+import WrongQuestionList from '../components/WrongQuestionList'
 import WrongQuestionUpload, { WrongQuestionFilters } from '../components/WrongQuestionUpload'
-import { formatStudentMeta, SCHOOL_LEVEL_LABELS } from '../constants/school'
+import ExamReviewPanel from '../components/ExamReviewPanel'
+import CompositionPanel from '../components/CompositionPanel'
+import StudentAvatar from '../components/StudentAvatar'
+import StudentSettingsPanel from '../components/StudentSettingsPanel'
+import { formatStudentSubtitle, SCHOOL_LEVEL_LABELS } from '../constants/school'
 import type { Exam, Student, Subject, TrendResponse, WrongQuestion } from '../types'
-import { STATUS_LABELS } from '../types'
+
-import WrongQuestionDetail from './WrongQuestionDetail'
+const TAB_KEYS = ['scores', 'overview', 'trend', 'review', 'composition', 'wrong', 'olympiad', 'settings'] as const
+type TabKey = (typeof TAB_KEYS)[number]
 
 export default function StudentDetailPage() {
   const { id } = useParams<{ id: string }>()
+  const [searchParams, setSearchParams] = useSearchParams()
+  const tabParam = searchParams.get('tab')
+  const activeTab: TabKey = TAB_KEYS.includes(tabParam as TabKey) ? (tabParam as TabKey) : 'scores'
+
   const [student, setStudent] = useState<Student | null>(null)
   const [subjects, setSubjects] = useState<Subject[]>([])
   const [exams, setExams] = useState<Exam[]>([])
   const [trend, setTrend] = useState<TrendResponse | null>(null)
   const [selectedSubject, setSelectedSubject] = useState<number>()
   const [wrongQuestions, setWrongQuestions] = useState<WrongQuestion[]>([])
+  const [olympiadQuestions, setOlympiadQuestions] = useState<WrongQuestion[]>([])
   const [wqSubjectFilter, setWqSubjectFilter] = useState<number>()
   const [wqSearch, setWqSearch] = useState('')
+  const [olympiadSearch, setOlympiadSearch] = useState('')
   const [selectedWq, setSelectedWq] = useState<string | null>(null)
+  const [selectedOlympiad, setSelectedOlympiad] = useState<string | null>(null)
   const [loading, setLoading] = useState(true)
 
+  const mathSubject = useMemo(() => subjects.find((s) => s.name === '数学'), [subjects])
   const subjectNames = Object.fromEntries(subjects.map((s) => [s.id, s.name]))
 
   const loadExams = useCallback(async () => {
@@ -44,43 +58,89 @@ export default function StudentDetailPage() {
     const { data } = await wrongQuestionApi.list(id, {
       subject_id: wqSubjectFilter,
       q: wqSearch || undefined,
+      category: 'regular',
     })
     setWrongQuestions(data)
   }, [id, wqSubjectFilter, wqSearch])
 
+  const loadOlympiadQuestions = useCallback(async () => {
+    if (!id) return
+    const { data } = await wrongQuestionApi.list(id, {
+      subject_id: mathSubject?.id,
+      q: olympiadSearch || undefined,
+      category: 'olympiad',
+    })
+    setOlympiadQuestions(data)
+  }, [id, mathSubject?.id, olympiadSearch])
+
   useEffect(() => {
     if (!id) return
-    const init = async () => {
+    let cancelled = false
+    ;(async () => {
       setLoading(true)
       try {
         const [studentRes, subjectRes] = await Promise.all([
           studentApi.get(id),
           subjectApi.list(),
         ])
+        if (cancelled) return
         setStudent(studentRes.data)
         setSubjects(subjectRes.data)
         if (subjectRes.data.length) setSelectedSubject(subjectRes.data[0].id)
-        await loadExams()
+        const examRes = await examApi.list(id)
-        await loadWrongQuestions()
+        if (!cancelled) setExams(examRes.data)
       } finally {
-        setLoading(false)
+        if (!cancelled) setLoading(false)
       }
+    })()
+    return () => {
+      cancelled = true
     }
-    init()
+  }, [id])
-  }, [id, loadExams, loadWrongQuestions])
+
+  useEffect(() => {
+    loadWrongQuestions()
+  }, [loadWrongQuestions])
+
+  useEffect(() => {
+    loadOlympiadQuestions()
+  }, [loadOlympiadQuestions])
 
   useEffect(() => {
     loadTrend()
   }, [loadTrend])
 
+  const handleTabChange = (key: string) => {
+    setSearchParams({ tab: key }, { replace: true })
+  }
+
   const handleExport = async () => {
     if (!id) return
     try {
-      const { data } = await examApi.exportCsv(id)
+      const res = await examApi.exportCsv(id)
-      const url = URL.createObjectURL(data)
+      const blob = res.data
+      if (blob.type?.includes('application/json')) {
+        const text = await blob.text()
+        try {
+          const err = JSON.parse(text) as { detail?: string }
+          message.error(err.detail || '导出失败')
+        } catch {
+          message.error('导出失败')
+        }
+        return
+      }
+      const disposition = res.headers['content-disposition'] as string | undefined
+      let filename = `${student?.name || 'student'}_scores.csv`
+      if (disposition) {
+        const utf8Match = disposition.match(/filename\*=UTF-8''([^;]+)/i)
+        const plainMatch = disposition.match(/filename="?([^";]+)"?/i)
+        if (utf8Match?.[1]) filename = decodeURIComponent(utf8Match[1])
+        else if (plainMatch?.[1]) filename = plainMatch[1]
+      }
+      const url = URL.createObjectURL(blob)
       const a = document.createElement('a')
       a.href = url
-      a.download = `${student?.name || 'student'}_scores.csv`
+      a.download = filename
       a.click()
       URL.revokeObjectURL(url)
     } catch {
@@ -98,36 +158,36 @@ export default function StudentDetailPage() {
 
   if (!student) return <Typography.Text>学生不存在</Typography.Text>
 
+  const stageLabel = SCHOOL_LEVEL_LABELS[student.school_level]
+
   return (
-    <div style={{ maxWidth: 1100, margin: '0 auto', padding: '16px 16px 32px' }}>
+    <div className="page-container">
-      <Space style={{ marginBottom: 16 }} wrap>
+      <Space className="page-header" wrap>
         <Link to="/">
           <Button icon={<ArrowLeftOutlined />}>返回</Button>
         </Link>
+        <StudentAvatar student={student} size={40} />
         <Typography.Title level={4} style={{ margin: 0 }}>
           {student.name}
         </Typography.Title>
-        <Tag color={student.school_level === 'senior_high' ? 'purple' : 'blue'}>
+        <Tag color={student.school_level === 'senior_high' ? 'purple' : 'blue'}>{stageLabel}</Tag>
-          {SCHOOL_LEVEL_LABELS[student.school_level]}
+        <Typography.Text type="secondary">{formatStudentSubtitle(student)}</Typography.Text>
-        </Tag>
-        <Typography.Text type="secondary">{formatStudentMeta(student)}</Typography.Text>
         <Button icon={<DownloadOutlined />} onClick={handleExport}>
           导出 CSV
         </Button>
       </Space>
 
       <Tabs
+        className="student-tabs"
+        activeKey={activeTab}
+        onChange={handleTabChange}
+        destroyInactiveTabPane={false}
         items={[
           {
             key: 'scores',
             label: '成绩录入',
             children: (
-              <ScoreForm
+              <ScoreForm studentId={id!} subjects={subjects} exams={exams} onRefresh={loadExams} />
-                studentId={id!}
-                subjects={subjects}
-                exams={exams}
-                onRefresh={loadExams}
-              />
             ),
           },
           {
@@ -141,7 +201,7 @@ export default function StudentDetailPage() {
             children: (
               <div>
                 <Select
-                  style={{ width: 140, marginBottom: 16 }}
+                  style={{ width: '100%', maxWidth: 160, marginBottom: 16 }}
                   value={selectedSubject}
                   onChange={setSelectedSubject}
                   options={subjects.map((s) => ({ value: s.id, label: s.name }))}
@@ -156,14 +216,28 @@ export default function StudentDetailPage() {
               </div>
             ),
           },
+          {
+            key: 'review',
+            label: '成绩复盘',
+            children: <ExamReviewPanel studentId={id!} exams={exams} onRefresh={loadExams} />,
+          },
+          {
+            key: 'composition',
+            label: '作文区',
+            children: <CompositionPanel studentId={id!} student={student} />,
+          },
           {
             key: 'wrong',
             label: '错题库',
             children: (
               <div>
+                <Typography.Paragraph type="secondary" style={{ marginBottom: 12 }}>
+                  上传后自动标注错误位置（红框），并生成解题思路，按{stageLabel}课内标准解题
+                </Typography.Paragraph>
                 <WrongQuestionUpload
                   studentId={id!}
                   subjects={subjects}
+                  category="regular"
                   onUploaded={loadWrongQuestions}
                 />
                 <WrongQuestionFilters
@@ -174,54 +248,57 @@ export default function StudentDetailPage() {
                   onRefresh={loadWrongQuestions}
                   subjects={subjects}
                 />
-                <div style={{ display: 'grid', gridTemplateColumns: 'repeat(auto-fill, minmax(280px, 1fr))', gap: 16 }}>
+                <WrongQuestionList
-                  {wrongQuestions.map((wq) => (
+                  items={wrongQuestions}
-                    <div
+                  selectedId={selectedWq}
-                      key={wq.id}
+                  onSelect={setSelectedWq}
-                      onClick={() => setSelectedWq(wq.id)}
+                  onRefresh={loadWrongQuestions}
-                      style={{
+                  emptyText="暂无错题"
-                        border: '1px solid #f0f0f0',
-                        borderRadius: 8,
-                        overflow: 'hidden',
-                        cursor: 'pointer',
-                      }}
-                    >
-                      <img
-                        src={wrongQuestionApi.imageUrl(wq.id)}
-                        alt="错题"
-                        style={{ width: '100%', height: 140, objectFit: 'cover', background: '#fafafa' }}
                 />
-                      <div style={{ padding: 12 }}>
+              </div>
-                        <Space>
+            ),
-                          <Typography.Text strong>{wq.subject_name}</Typography.Text>
+          },
-                          <Typography.Text type="secondary" style={{ fontSize: 12 }}>
+          {
-                            {STATUS_LABELS[wq.status]}
+            key: 'olympiad',
-                          </Typography.Text>
+            label: '奥数区',
-                        </Space>
+            children: (
-                        <Typography.Paragraph
+              <div>
-                          ellipsis={{ rows: 2 }}
+                <Typography.Paragraph type="secondary" style={{ marginBottom: 12 }}>
-                          style={{ margin: '8px 0 0', fontSize: 13 }}
+                  {stageLabel}数学奥数，严格限制在{stageLabel}奥数培优范围内，禁止超纲
-                        >
-                          {wq.question_text || wq.ocr_raw_text || '处理中…'}
                 </Typography.Paragraph>
-                      </div>
+                <WrongQuestionUpload
-                    </div>
+                  studentId={id!}
-                  ))}
+                  subjects={subjects}
-                </div>
+                  category="olympiad"
-                {wrongQuestions.length === 0 && (
+                  onUploaded={loadOlympiadQuestions}
-                  <Typography.Text type="secondary">暂无错题</Typography.Text>
+                />
-                )}
+                <WrongQuestionFilters
-                {selectedWq && (
+                  search={olympiadSearch}
-                  <WrongQuestionDetail
+                  onSearchChange={setOlympiadSearch}
-                    questionId={selectedWq}
+                  onRefresh={loadOlympiadQuestions}
-                    open={!!selectedWq}
+                  subjects={subjects}
-                    onClose={() => setSelectedWq(null)}
+                  hideSubjectFilter
-                    onUpdated={loadWrongQuestions}
+                />
+                <WrongQuestionList
+                  items={olympiadQuestions}
+                  selectedId={selectedOlympiad}
+                  onSelect={setSelectedOlympiad}
+                  onRefresh={loadOlympiadQuestions}
+                  emptyText="暂无奥数题"
                 />
-                )}
               </div>
             ),
           },
+          {
+            key: 'settings',
+            label: '设置',
+            children: (
+              <StudentSettingsPanel
+                student={student}
+                onUpdated={(updated) => setStudent(updated)}
+              />
+            ),
+          },
         ]}
       />
     </div>

frontend/src/pages/StudentsPage.tsx

@@ -1,19 +1,21 @@
-import { LogoutOutlined, PlusOutlined, UserOutlined } from '@ant-design/icons'
+import { DeleteOutlined, EditOutlined, LogoutOutlined, PlusOutlined, SettingOutlined } from '@ant-design/icons'
-import { Button, Card, Col, Form, Input, Modal, Row, Select, Space, Spin, Tag, Typography, message } from 'antd'
+import { Button, Card, Col, Form, Modal, Popconfirm, Row, Space, Spin, Tag, Typography, message } from 'antd'
 import { useEffect, useState } from 'react'
 import { Link } from 'react-router-dom'
 import { studentApi } from '../api/client'
-import { formatStudentMeta, GRADE_OPTIONS, SCHOOL_LEVEL_LABELS } from '../constants/school'
+import StudentAvatar from '../components/StudentAvatar'
+import StudentFormFields, { type StudentFormValues } from '../components/StudentFormFields'
+import { formatStudentSubtitle, SCHOOL_LEVEL_LABELS } from '../constants/school'
 import { useAuth } from '../context/AuthContext'
-import type { SchoolLevel, Student } from '../types'
+import type { Student } from '../types'
 
 export default function StudentsPage() {
   const { user, logout } = useAuth()
   const [students, setStudents] = useState<Student[]>([])
   const [loading, setLoading] = useState(true)
   const [modalOpen, setModalOpen] = useState(false)
-  const [form] = Form.useForm()
+  const [editing, setEditing] = useState<Student | null>(null)
-  const schoolLevel = Form.useWatch('school_level', form) as SchoolLevel | undefined
+  const [form] = Form.useForm<StudentFormValues>()
 
   const load = async () => {
     setLoading(true)
@@ -30,21 +32,45 @@ export default function StudentsPage() {
   }, [])
 
   const openCreate = () => {
-    form.setFieldsValue({ school_level: 'junior_high', grade: undefined })
+    setEditing(null)
+    form.setFieldsValue({ school_level: 'junior_high', grade: undefined, school_name: undefined })
     setModalOpen(true)
   }
 
-  const handleCreate = async () => {
+  const openEdit = (student: Student) => {
+    setEditing(student)
+    form.setFieldsValue({
+      name: student.name,
+      school_name: student.school_name || undefined,
+      school_level: student.school_level,
+      grade: student.grade || undefined,
+      class_name: student.class_name || undefined,
+    })
+    setModalOpen(true)
+  }
+
+  const handleSubmit = async () => {
     const values = await form.validateFields()
+    if (editing) {
+      await studentApi.update(editing.id, values)
+      message.success('学生资料已更新')
+    } else {
       await studentApi.create(values)
       message.success('学生已添加')
+    }
     setModalOpen(false)
     form.resetFields()
     load()
   }
 
+  const handleDelete = async (student: Student) => {
+    await studentApi.remove(student.id)
+    message.success('学生已删除')
+    load()
+  }
+
   return (
-    <div style={{ maxWidth: 960, margin: '0 auto', padding: '16px 16px 32px' }}>
+    <div className="page-container">
       <div
         style={{
           display: 'flex',
@@ -62,6 +88,11 @@ export default function StudentsPage() {
           <Typography.Text type="secondary">欢迎，{user?.username}</Typography.Text>
         </div>
         <Space wrap>
+          {user?.is_superuser && (
+            <Link to="/settings">
+              <Button icon={<SettingOutlined />}>系统设置</Button>
+            </Link>
+          )}
           <Button type="primary" icon={<PlusOutlined />} onClick={openCreate}>
             添加学生
           </Button>
@@ -75,12 +106,34 @@ export default function StudentsPage() {
         <Row gutter={[16, 16]}>
           {students.map((s) => (
             <Col xs={24} sm={12} md={8} key={s.id}>
-              <Link to={`/students/${s.id}`} style={{ textDecoration: 'none' }}>
+              <Card
-                <Card hoverable>
+                hoverable
+                actions={[
+                  <Button
+                    type="link"
+                    icon={<EditOutlined />}
+                    onClick={() => openEdit(s)}
+                    key="edit"
+                  >
+                    修改
+                  </Button>,
+                  <Popconfirm
+                    key="delete"
+                    title="确定删除该学生？"
+                    description="将删除其全部成绩与错题数据"
+                    onConfirm={() => handleDelete(s)}
+                  >
+                    <Button type="link" danger icon={<DeleteOutlined />}>
+                      删除
+                    </Button>
+                  </Popconfirm>,
+                ]}
+              >
+                <Link to={`/students/${s.id}`} style={{ textDecoration: 'none', color: 'inherit' }}>
                   <Space align="start">
-                    <UserOutlined style={{ fontSize: 24, color: '#1677ff' }} />
+                    <StudentAvatar student={s} size={48} />
                     <div>
-                      <Space size={4}>
+                      <Space size={4} wrap>
                         <Typography.Text strong>{s.name}</Typography.Text>
                         <Tag color={s.school_level === 'senior_high' ? 'purple' : 'blue'}>
                           {SCHOOL_LEVEL_LABELS[s.school_level]}
@@ -88,12 +141,12 @@ export default function StudentsPage() {
                       </Space>
                       <br />
                       <Typography.Text type="secondary" style={{ fontSize: 12 }}>
-                        {formatStudentMeta(s)}
+                        {formatStudentSubtitle(s)}
                       </Typography.Text>
                     </div>
                   </Space>
-                </Card>
                 </Link>
+              </Card>
             </Col>
           ))}
           {!loading && students.length === 0 && (
@@ -107,38 +160,14 @@ export default function StudentsPage() {
       </Spin>
 
       <Modal
-        title="添加学生"
+        title={editing ? '修改学生' : '添加学生'}
         open={modalOpen}
         onCancel={() => setModalOpen(false)}
-        onOk={handleCreate}
+        onOk={handleSubmit}
         destroyOnHidden
       >
         <Form form={form} layout="vertical" initialValues={{ school_level: 'junior_high' }}>
-          <Form.Item name="name" label="姓名" rules={[{ required: true }]}>
+          <StudentFormFields form={form} />
-            <Input />
-          </Form.Item>
-          <Form.Item name="school_level" label="学段" rules={[{ required: true }]}>
-            <Select
-              options={Object.entries(SCHOOL_LEVEL_LABELS).map(([value, label]) => ({
-                value,
-                label,
-              }))}
-              onChange={() => form.setFieldValue('grade', undefined)}
-            />
-          </Form.Item>
-          <Form.Item name="grade" label="年级">
-            <Select
-              allowClear
-              placeholder={schoolLevel === 'senior_high' ? '如：高一' : '如：初二'}
-              options={(GRADE_OPTIONS[schoolLevel || 'junior_high'] || []).map((g) => ({
-                value: g,
-                label: g,
-              }))}
-            />
-          </Form.Item>
-          <Form.Item name="class_name" label="班级">
-            <Input placeholder="如：3班" />
-          </Form.Item>
         </Form>
       </Modal>
     </div>

frontend/src/pages/WrongQuestionDetail.tsx

@@ -1,8 +1,10 @@
-import { Alert, Button, Col, Input, Modal, Row, Space, Spin, Typography, message } from 'antd'
+import { Alert, Button, Col, Input, Modal, Popconfirm, Row, Segmented, Space, Spin, Typography, message } from 'antd'
 import { useEffect, useState } from 'react'
 import ReactMarkdown from 'react-markdown'
+import AuthenticatedImage from '../components/AuthenticatedImage'
 import { wrongQuestionApi } from '../api/client'
 import type { WrongQuestion } from '../types'
+import { isWrongQuestionProcessing, processingHint } from '../utils/wqProcessing'
 import { STATUS_LABELS } from '../types'
 
 interface Props {
@@ -10,23 +12,35 @@ interface Props {
   open: boolean
   onClose: () => void
   onUpdated: () => void
+  onDeleted?: () => void
 }
 
-export default function WrongQuestionDetail({ questionId, open, onClose, onUpdated }: Props) {
+export default function WrongQuestionDetail({
+  questionId,
+  open,
+  onClose,
+  onUpdated,
+  onDeleted,
+}: Props) {
   const [wq, setWq] = useState<WrongQuestion | null>(null)
   const [loading, setLoading] = useState(false)
   const [questionText, setQuestionText] = useState('')
+  const [approachText, setApproachText] = useState('')
   const [solutionText, setSolutionText] = useState('')
+  const [imageMode, setImageMode] = useState<'annotated' | 'original'>('annotated')
   const [saving, setSaving] = useState(false)
   const [regenerating, setRegenerating] = useState(false)
+  const [deleting, setDeleting] = useState(false)
 
   const load = async () => {
     setLoading(true)
     try {
       const { data } = await wrongQuestionApi.get(questionId)
       setWq(data)
-      setQuestionText(data.question_text || '')
+      setQuestionText(data.question_text || data.ocr_raw_text || '')
+      setApproachText(data.solution_approach || '')
       setSolutionText(data.solution_text || '')
+      setImageMode(data.has_annotated_image ? 'annotated' : 'original')
     } finally {
       setLoading(false)
     }
@@ -36,11 +50,30 @@ export default function WrongQuestionDetail({ questionId, open, onClose, onUpdat
     if (open && questionId) load()
   }, [open, questionId])
 
+  useEffect(() => {
+    if (!open || !wq || !isWrongQuestionProcessing(wq)) return
+    const timer = window.setInterval(async () => {
+      try {
+        const { data } = await wrongQuestionApi.get(questionId)
+        setWq(data)
+        setQuestionText(data.question_text || data.ocr_raw_text || '')
+        setApproachText(data.solution_approach || '')
+        setSolutionText(data.solution_text || '')
+        if (data.has_annotated_image) setImageMode('annotated')
+        if (!isWrongQuestionProcessing(data)) onUpdated()
+      } catch {
+        /* ignore poll errors */
+      }
+    }, 4000)
+    return () => window.clearInterval(timer)
+  }, [open, questionId, wq?.status, wq?.question_text, wq?.error_message])
+
   const handleSave = async () => {
     setSaving(true)
     try {
       await wrongQuestionApi.update(questionId, {
         question_text: questionText,
+        solution_approach: approachText,
         solution_text: solutionText,
       })
       message.success('已保存')
@@ -55,12 +88,13 @@ export default function WrongQuestionDetail({ questionId, open, onClose, onUpdat
     try {
       const { data } = await wrongQuestionApi.regenerate(questionId)
       setWq(data)
-      setQuestionText(data.question_text || '')
+      setQuestionText(data.question_text || data.ocr_raw_text || '')
+      setApproachText(data.solution_approach || '')
       setSolutionText(data.solution_text || '')
-      message.success('解法已重新生成')
+      message.success('解题思路已重新生成')
       onUpdated()
     } catch {
-      message.error('生成失败，请确认 Ollama 已启动')
+      message.error('生成失败，请检查 AI 模型配置')
     } finally {
       setRegenerating(false)
     }
@@ -68,23 +102,46 @@ export default function WrongQuestionDetail({ questionId, open, onClose, onUpdat
 
   const handleRetryOcr = async () => {
     await wrongQuestionApi.retryOcr(questionId)
-    message.info('已重新识别，请稍后刷新')
+    message.info('已重新识别并标注，请稍后刷新')
     onUpdated()
     onClose()
   }
 
+  const handleDelete = async () => {
+    setDeleting(true)
+    try {
+      await wrongQuestionApi.remove(questionId)
+      message.success('已删除')
+      onDeleted?.()
+      onClose()
+    } catch {
+      message.error('删除失败')
+    } finally {
+      setDeleting(false)
+    }
+  }
+
   return (
     <Modal
-      title={wq ? `${wq.subject_name} · 错题详情` : '错题详情'}
+      title={
+        wq
+          ? `${wq.subject_name}${wq.category === 'olympiad' ? ' · 奥数' : ''} · 详情`
+          : '详情'
+      }
       open={open}
       onCancel={onClose}
       width="90%"
       style={{ maxWidth: 960 }}
       footer={
         <Space wrap>
-          <Button onClick={handleRetryOcr}>重新 OCR</Button>
+          <Popconfirm title="确定删除该题？" onConfirm={handleDelete}>
+            <Button danger loading={deleting}>
+              删除
+            </Button>
+          </Popconfirm>
+          <Button onClick={handleRetryOcr}>重新识别标注</Button>
           <Button loading={regenerating} onClick={handleRegenerate}>
-            重新生成解法
+            重新生成思路
           </Button>
           <Button type="primary" loading={saving} onClick={handleSave}>
             保存编辑
@@ -95,10 +152,30 @@ export default function WrongQuestionDetail({ questionId, open, onClose, onUpdat
       <Spin spinning={loading}>
         {wq && (
           <>
+            <Space wrap style={{ marginBottom: 8 }}>
               <Typography.Text type="secondary">状态：{STATUS_LABELS[wq.status]}</Typography.Text>
-            {wq.solution_text && (
+              {wq.has_annotated_image && !wq.error_message && (
+                <Typography.Text type="danger">红色框为自动标注的错误位置</Typography.Text>
+              )}
+            </Space>
+            {wq.error_message && (
               <Alert
-                message="AI 生成内容，请核对后再使用"
+                message="处理失败"
+                description={wq.error_message}
+                type="error"
+                showIcon
+                style={{ marginBottom: 12 }}
+              />
+            )}
+            {wq.status === 'pending' && !wq.error_message && (
+              <Alert message={processingHint(wq)} type="info" showIcon style={{ marginBottom: 12 }} />
+            )}
+            {wq.status === 'ocr_done' && !wq.question_text && !wq.error_message && (
+              <Alert message={processingHint(wq)} type="info" showIcon style={{ marginBottom: 12 }} />
+            )}
+            {(wq.solution_approach || wq.solution_text) && (
+              <Alert
+                message="AI 识别与标注，请核对后再使用"
                 type="warning"
                 showIcon
                 style={{ margin: '12px 0' }}
@@ -106,14 +183,27 @@ export default function WrongQuestionDetail({ questionId, open, onClose, onUpdat
             )}
             <Row gutter={16} style={{ marginTop: 12 }}>
               <Col xs={24} md={10}>
-                <img
+                {wq.has_annotated_image && (
-                  src={wrongQuestionApi.imageUrl(wq.id)}
+                  <Segmented
+                    block
+                    style={{ marginBottom: 8 }}
+                    value={imageMode}
+                    onChange={(v) => setImageMode(v as 'annotated' | 'original')}
+                    options={[
+                      { label: '标注图', value: 'annotated' },
+                      { label: '原图', value: 'original' },
+                    ]}
+                  />
+                )}
+                <AuthenticatedImage
+                  questionId={wq.id}
+                  variant={imageMode}
                   alt="原题"
                   style={{ width: '100%', borderRadius: 8, border: '1px solid #f0f0f0' }}
                 />
                 {wq.ocr_raw_text && (
                   <div style={{ marginTop: 12 }}>
-                    <Typography.Text strong>OCR 原文</Typography.Text>
+                    <Typography.Text strong>OCR 原文（已排除手写作答）</Typography.Text>
                     <pre
                       style={{
                         background: '#fafafa',
@@ -132,12 +222,36 @@ export default function WrongQuestionDetail({ questionId, open, onClose, onUpdat
               <Col xs={24} md={14}>
                 <Typography.Text strong>识别题目（可编辑）</Typography.Text>
                 <Input.TextArea
-                  rows={6}
+                  rows={5}
                   value={questionText}
                   onChange={(e) => setQuestionText(e.target.value)}
                   style={{ marginTop: 8, marginBottom: 16 }}
                 />
-                <Typography.Text strong>解法</Typography.Text>
+                <Typography.Text strong>解题思路</Typography.Text>
+                <Input.TextArea
+                  rows={4}
+                  value={approachText}
+                  onChange={(e) => setApproachText(e.target.value)}
+                  placeholder="识别完成后自动生成，类似作业帮「解题思路」"
+                  style={{ marginTop: 8, marginBottom: 16 }}
+                />
+                {approachText && (
+                  <div
+                    style={{
+                      background: '#e6f4ff',
+                      padding: 12,
+                      borderRadius: 8,
+                      marginBottom: 16,
+                      border: '1px solid #91caff',
+                    }}
+                  >
+                    <Typography.Text type="secondary" style={{ fontSize: 12 }}>
+                      思路预览
+                    </Typography.Text>
+                    <ReactMarkdown>{approachText}</ReactMarkdown>
+                  </div>
+                )}
+                <Typography.Text strong>详细解答</Typography.Text>
                 <Input.TextArea
                   rows={8}
                   value={solutionText}
@@ -147,7 +261,7 @@ export default function WrongQuestionDetail({ questionId, open, onClose, onUpdat
                 {solutionText && (
                   <div style={{ background: '#fafafa', padding: 12, borderRadius: 8 }}>
                     <Typography.Text type="secondary" style={{ fontSize: 12 }}>
-                      预览
+                      解答预览
                     </Typography.Text>
                     <ReactMarkdown>{solutionText}</ReactMarkdown>
                   </div>

frontend/src/types/index.ts

@@ -7,9 +7,42 @@ export interface TokenResponse {
 export interface User {
   id: string
   username: string
+  is_superuser: boolean
   created_at: string
 }
 
+export interface PublicSettings {
+  registration_enabled: boolean
+}
+
+export interface AppFeatures {
+  ai_review_enabled: boolean
+}
+
+export interface SystemSettings {
+  registration_enabled: boolean
+  ai_review_enabled: boolean
+  ai_provider: AIProvider
+  ollama_base_url: string | null
+  ollama_model: string | null
+  openai_base_url: string | null
+  openai_model: string | null
+  openai_api_key_set: boolean
+  ocr_service_url: string | null
+  updated_at: string
+}
+
+export interface AdminUser {
+  id: string
+  username: string
+  is_superuser: boolean
+  created_at: string
+}
+
+export type WrongQuestionCategory = 'regular' | 'olympiad'
+
+export type AIProvider = 'ollama' | 'openai'
+
 export type SchoolLevel = 'junior_high' | 'senior_high'
 
 export interface Student {
@@ -18,6 +51,14 @@ export interface Student {
   school_level: SchoolLevel
   grade: string | null
   class_name: string | null
+  school_name: string | null
+  has_avatar: boolean
+  created_at: string
+}
+
+export interface BackupInfo {
+  filename: string
+  size_bytes: number
   created_at: string
 }
 
@@ -33,6 +74,31 @@ export interface Score {
   total_score: number
   obtained_score: number
   ratio: number
+  review_statuses?: ReviewStatus[]
+}
+
+export type ReviewStatus = 'careless' | 'unknown' | 'nervous' | 'normal'
+
+export const REVIEW_STATUS_LABELS: Record<ReviewStatus, string> = {
+  careless: '粗心',
+  unknown: '不会',
+  nervous: '紧张',
+  normal: '正常发挥',
+}
+
+export const REVIEW_STATUS_OPTIONS = (
+  Object.entries(REVIEW_STATUS_LABELS) as [ReviewStatus, string][]
+).map(([value, label]) => ({ value, label }))
+
+export const PROBLEM_REVIEW_STATUSES: ReviewStatus[] = ['careless', 'unknown', 'nervous']
+
+export function hasReviewProblem(statuses: ReviewStatus[] | undefined): boolean {
+  return (statuses || []).some((s) => PROBLEM_REVIEW_STATUSES.includes(s))
+}
+
+export function formatReviewStatuses(statuses: ReviewStatus[] | undefined): string {
+  if (!statuses?.length) return '-'
+  return statuses.map((s) => REVIEW_STATUS_LABELS[s]).join('、')
 }
 
 export type ExamType = 'weekly' | 'monthly' | 'final'
@@ -50,6 +116,7 @@ export interface ScoreInput {
   subject_id: number
   total_score: number
   obtained_score: number
+  review_statuses?: ReviewStatus[]
 }
 
 export interface TrendPoint {
@@ -79,14 +146,28 @@ export interface WrongQuestion {
   student_id: string
   subject_id: number
   subject_name?: string
+  category: WrongQuestionCategory
   image_path: string
   ocr_raw_text: string | null
   question_text: string | null
+  solution_approach: string | null
   solution_text: string | null
+  mark_regions: MarkRegion[] | null
+  has_annotated_image: boolean
+  has_cropped_image: boolean
+  error_message: string | null
   status: WrongQuestionStatus
   created_at: string
 }
 
+export interface MarkRegion {
+  line_id: number
+  text: string
+  bbox: number[]
+  type: string
+  label: string
+}
+
 export const EXAM_TYPE_LABELS: Record<ExamType, string> = {
   weekly: '周考',
   monthly: '月考',
@@ -99,3 +180,26 @@ export const STATUS_LABELS: Record<WrongQuestionStatus, string> = {
   solved: '已生成解法',
   failed: '失败',
 }
+
+export type CompositionStatus = 'pending' | 'generating' | 'done' | 'failed'
+export type CompositionInputMode = 'manual' | 'ocr'
+
+export interface Composition {
+  id: string
+  student_id: string
+  topic: string
+  input_mode: CompositionInputMode
+  writing_plan: string | null
+  sample_essay: string | null
+  error_message: string | null
+  status: CompositionStatus
+  created_at: string
+  updated_at: string
+}
+
+export const COMPOSITION_STATUS_LABELS: Record<CompositionStatus, string> = {
+  pending: '等待生成',
+  generating: '生成中',
+  done: '已完成',
+  failed: '失败',
+}

frontend/src/utils/cropImage.ts

@@ -0,0 +1,53 @@
+export interface CropArea {
+  x: number
+  y: number
+  width: number
+  height: number
+}
+
+function loadImage(src: string): Promise<HTMLImageElement> {
+  return new Promise((resolve, reject) => {
+    const img = new Image()
+    img.onload = () => resolve(img)
+    img.onerror = reject
+    img.src = src
+  })
+}
+
+export async function cropImageToBlob(
+  imageSrc: string,
+  area: CropArea,
+  mimeType = 'image/jpeg',
+  quality = 0.92,
+): Promise<Blob> {
+  const image = await loadImage(imageSrc)
+  const canvas = document.createElement('canvas')
+  canvas.width = Math.max(1, Math.round(area.width))
+  canvas.height = Math.max(1, Math.round(area.height))
+  const ctx = canvas.getContext('2d')
+  if (!ctx) throw new Error('无法创建画布')
+
+  ctx.drawImage(
+    image,
+    area.x,
+    area.y,
+    area.width,
+    area.height,
+    0,
+    0,
+    area.width,
+    area.height,
+  )
+
+  return new Promise((resolve, reject) => {
+    canvas.toBlob(
+      (blob) => (blob ? resolve(blob) : reject(new Error('裁剪失败'))),
+      mimeType,
+      quality,
+    )
+  })
+}
+
+export function blobToFile(blob: Blob, filename: string): File {
+  return new File([blob], filename, { type: blob.type || 'image/jpeg' })
+}

frontend/src/utils/wqProcessing.ts

@@ -0,0 +1,18 @@
+import type { WrongQuestion } from '../types'
+
+export function isWrongQuestionProcessing(wq: WrongQuestion): boolean {
+  if (wq.error_message) return false
+  if (wq.status === 'pending') return true
+  if (wq.status === 'ocr_done' && !wq.question_text) return true
+  return false
+}
+
+export function processingHint(wq: WrongQuestion): string {
+  if (wq.status === 'pending') {
+    return '正在识别文字（约 10–30 秒）…'
+  }
+  if (wq.status === 'ocr_done') {
+    return '正在标注错题并生成解题思路（约 30–90 秒）…'
+  }
+  return '正在识别、标注并生成解题思路…'
+}

frontend/vite.config.ts

@@ -7,7 +7,7 @@ export default defineConfig({
     port: 5173,
     proxy: {
       '/api': {
-        target: 'http://localhost:23568',
+        target: 'http://localhost:23566',
         changeOrigin: true,
       },
     },