diff --git a/.env.example b/.env.example new file mode 100644 index 0000000..89ce915 --- /dev/null +++ b/.env.example @@ -0,0 +1,17 @@ +# Database +DATABASE_URL=postgresql+asyncpg://postgres:1234567890@localhost:5432/edu_system + +# Kimi API (get from https://platform.moonshot.cn/) +KIMI_API_KEY= + +# JWT +JWT_SECRET=change-this-to-a-random-secret-key-in-production +JWT_ALGORITHM=HS256 +JWT_EXPIRE_MINUTES=1440 + +# File Storage +UPLOAD_DIR=./storage/uploads +MAX_FILE_SIZE=10485760 + +# Frontend +NEXT_PUBLIC_API_URL=http://localhost:8000/api/v1 diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..1e6229c --- /dev/null +++ b/.gitignore @@ -0,0 +1,28 @@ +# Dependencies +node_modules/ +__pycache__/ +*.pyc +.venv/ +venv/ + +# Environment +.env +.env.local + +# Build +.next/ +out/ +dist/ +build/ + +# Storage +storage/uploads/* +!storage/uploads/.gitkeep + +# IDE +.vscode/ +.idea/ + +# OS +.DS_Store +Thumbs.db diff --git a/README.md b/README.md index 6d2508b..ae96af4 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,70 @@ -# QuizFrog +# 错题蛙 - 小学生错题收集与记忆系统 +针对小学生的错题收集、OCR识别、艾宾浩斯复习、A4试卷生成系统。 + +> 错题变聪明，越练越厉害！ + +## 技术栈 + +- **前端**: Next.js 14 + React 18 + Tailwind CSS +- **后端**: Python FastAPI + SQLAlchemy + Alembic +- **数据库**: PostgreSQL 16 +- **OCR**: Kimi Vision API (Moonshot AI) +- **PDF**: ReportLab + +## 快速开始 + +### 1. 环境准备 + +```bash +# 安装 PostgreSQL，创建数据库 +createdb edu_system + +# 复制环境变量 +cp .env.example .env +# 编辑 .env，填入 KIMI_API_KEY +``` + +### 2. 后端启动 + +```bash +cd backend +python -m venv venv +source venv/bin/activate # Windows: venv\Scripts\activate +pip install -r requirements.txt + +# 初始化数据库表 +alembic revision --autogenerate -m "initial" +alembic upgrade head + +# 启动后端 +uvicorn app.main:app --reload --port 8000 +``` + +### 3. 前端启动 + +```bash +cd frontend +npm install +npm run dev +``` + +访问 http://localhost:3000 + +### 4. Docker 方式（可选） + +```bash +cp .env.example .env +docker-compose up -d +``` + +## 功能 + +1. **收集错题** - 拍照/上传图片，Kimi Vision自动识别题目、答案、错误原因 +2. **智能复习** - 艾宾浩斯记忆曲线自动安排复习，翻转卡片式练习 +3. **错题库** - 按科目/知识点筛选浏览 +4. **试卷打印** - 一键生成A4 PDF试卷，支持答案页 + +## API 文档 + +启动后端后访问 http://localhost:8000/docs 查看 Swagger 文档 diff --git a/backend/alembic.ini b/backend/alembic.ini new file mode 100644 index 0000000..b801539 --- /dev/null +++ b/backend/alembic.ini @@ -0,0 +1,40 @@ +# A generic, single database configuration. + +[alembic] +script_location = alembic +prepend_sys_path = . +sqlalchemy.url = postgresql+asyncpg://postgres:1234567890@localhost:5432/edu_system + +[loggers] +keys = root,sqlalchemy,alembic + +[handlers] +keys = console + +[formatters] +keys = generic + +[logger_root] +level = WARN +handlers = console +qualname = + +[logger_sqlalchemy] +level = WARN +handlers = +qualname = sqlalchemy.engine + +[logger_alembic] +level = INFO +handlers = +qualname = alembic + +[handler_console] +class = StreamHandler +args = (sys.stderr,) +level = NOTSET +formatter = generic + +[formatter_generic] +format = %(levelname)-5.5s [%(name)s] %(message)s +datefmt = %H:%M:%S diff --git a/backend/alembic/env.py b/backend/alembic/env.py new file mode 100644 index 0000000..677e4fc --- /dev/null +++ b/backend/alembic/env.py @@ -0,0 +1,61 @@ +from logging.config import fileConfig +import sys +import os + +from sqlalchemy import pool +from sqlalchemy.engine import Connection +from alembic import context + +# Add parent directory to path so we can import app +sys.path.insert(0, os.path.dirname(os.path.dirname(__file__))) + +from app.database import Base, engine +from app.models import User, Mistake, ReviewCard, ReviewLog, ReviewConfig, ExamPaper + +config = context.config +if config.config_file_name is not None: + fileConfig(config.config_file_name) + +target_metadata = Base.metadata + + +def run_migrations_offline() -> None: + url = config.get_main_option("sqlalchemy.url") + context.configure( + url=url, + target_metadata=target_metadata, + literal_binds=True, + dialect_opts={"paramstyle": "named"}, + ) + with context.begin_transaction(): + context.run_migrations() + + +def do_run_migrations(connection: Connection) -> None: + context.configure(connection=connection, target_metadata=target_metadata) + with context.begin_transaction(): + context.run_migrations() + + +async def run_async_migrations() -> None: + from sqlalchemy.ext.asyncio import async_engine_from_config + + connectable = async_engine_from_config( + config.get_section(config.config_ini_section, {}), + prefix="sqlalchemy.", + poolclass=pool.NullPool, + ) + async with connectable.connect() as connection: + await connection.run_sync(do_run_migrations) + await connectable.dispose() + + +def run_migrations_online() -> None: + import asyncio + asyncio.run(run_async_migrations()) + + +if context.is_offline_mode(): + run_migrations_offline() +else: + run_migrations_online() diff --git a/backend/alembic/script.py.mako b/backend/alembic/script.py.mako new file mode 100644 index 0000000..590f5b3 --- /dev/null +++ b/backend/alembic/script.py.mako @@ -0,0 +1,24 @@ +"""${message} + +Revision ID: ${up_revision} +Revises: ${down_revision | comma,n} +Create Date: ${create_date} +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa +${imports if imports else ""} + +revision: str = ${repr(up_revision)} +down_revision: Union[str, None] = ${repr(down_revision)} +branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)} +depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)} + + +def upgrade() -> None: + ${upgrades if upgrades else "pass"} + + +def downgrade() -> None: + ${downgrades if downgrades else "pass"} diff --git a/backend/app/__init__.py b/backend/app/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/app/config.py b/backend/app/config.py new file mode 100644 index 0000000..fcb81f4 --- /dev/null +++ b/backend/app/config.py @@ -0,0 +1,19 @@ +import os +from pydantic_settings import BaseSettings + + +class Settings(BaseSettings): + DATABASE_URL: str = "sqlite+aiosqlite:///./edu_system.db" + KIMI_API_KEY: str = "" + JWT_SECRET: str = "change-this-to-a-random-secret-key" + JWT_ALGORITHM: str = "HS256" + JWT_EXPIRE_MINUTES: int = 1440 # 24 hours + UPLOAD_DIR: str = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), "storage", "uploads") + MAX_FILE_SIZE: int = 10 * 1024 * 1024 # 10MB + + class Config: + env_file = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), ".env") + extra = "ignore" + + +settings = Settings() diff --git a/backend/app/database.py b/backend/app/database.py new file mode 100644 index 0000000..d7612ac --- /dev/null +++ b/backend/app/database.py @@ -0,0 +1,33 @@ +from sqlalchemy.ext.asyncio import create_async_engine, async_sessionmaker, AsyncSession +from sqlalchemy.orm import DeclarativeBase +from sqlalchemy import event + +from app.config import settings + +engine_kwargs = {} +if "sqlite" in settings.DATABASE_URL: + engine_kwargs["connect_args"] = {"check_same_thread": False} + +engine = create_async_engine(settings.DATABASE_URL, echo=False, **engine_kwargs) +async_session = async_sessionmaker(engine, class_=AsyncSession, expire_on_commit=False) + + +class Base(DeclarativeBase): + pass + + +# Enable foreign keys for SQLite +if "sqlite" in settings.DATABASE_URL: + @event.listens_for(engine.sync_engine, "connect") + def set_sqlite_pragma(dbapi_connection, connection_record): + cursor = dbapi_connection.cursor() + cursor.execute("PRAGMA foreign_keys=ON") + cursor.close() + + +async def get_db() -> AsyncSession: + async with async_session() as session: + try: + yield session + finally: + await session.close() diff --git a/backend/app/main.py b/backend/app/main.py new file mode 100644 index 0000000..fb6f9d7 --- /dev/null +++ b/backend/app/main.py @@ -0,0 +1,45 @@ +from __future__ import annotations +import os + +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware +from fastapi.staticfiles import StaticFiles + +from app.config import settings +from app.routers import auth, mistakes, ocr, review, exam + +app = FastAPI( + title="错题蛙 API", + description="错题收集、OCR识别、艾宾浩斯复习、A4试卷生成", + version="1.0.0", +) + +# CORS +app.add_middleware( + CORSMiddleware, + allow_origins=["http://localhost:3000", "http://127.0.0.1:3000"], + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +# Static files for uploaded images +os.makedirs(settings.UPLOAD_DIR, exist_ok=True) +app.mount("/uploads", StaticFiles(directory=settings.UPLOAD_DIR), name="uploads") + +# Routers +app.include_router(auth.router, prefix="/api/v1") +app.include_router(mistakes.router, prefix="/api/v1") +app.include_router(ocr.router, prefix="/api/v1") +app.include_router(review.router, prefix="/api/v1") +app.include_router(exam.router, prefix="/api/v1") + + +@app.get("/") +async def root(): + return {"message": "错题收集与记忆系统 API", "version": "1.0.0"} + + +@app.get("/health") +async def health(): + return {"status": "ok"} diff --git a/backend/app/models/__init__.py b/backend/app/models/__init__.py new file mode 100644 index 0000000..1a90029 --- /dev/null +++ b/backend/app/models/__init__.py @@ -0,0 +1,6 @@ +from app.models.user import User +from app.models.mistake import Mistake +from app.models.review import ReviewCard, ReviewLog, ReviewConfig +from app.models.exam import ExamPaper + +__all__ = ["User", "Mistake", "ReviewCard", "ReviewLog", "ReviewConfig", "ExamPaper"] diff --git a/backend/app/models/exam.py b/backend/app/models/exam.py new file mode 100644 index 0000000..87a5843 --- /dev/null +++ b/backend/app/models/exam.py @@ -0,0 +1,39 @@ +import json +from datetime import datetime + +from sqlalchemy import String, Integer, ForeignKey, DateTime, func, TypeDecorator, Text +from sqlalchemy.orm import Mapped, mapped_column + +from app.database import Base + + +class ArrayEncoded(TypeDecorator): + """Array type stored as JSON text for SQLite compatibility.""" + impl = Text + cache_ok = True + + def process_bind_param(self, value, dialect): + if value is not None: + return json.dumps(value, ensure_ascii=False) + return value + + def process_result_value(self, value, dialect): + if value is not None: + return json.loads(value) + return value + + +class ExamPaper(Base): + __tablename__ = "exam_papers" + + id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True) + user_id: Mapped[int] = mapped_column(Integer, ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True) + title: Mapped[str] = mapped_column(String(200), nullable=False) + subjects = mapped_column(ArrayEncoded, nullable=False) + mistake_ids = mapped_column(ArrayEncoded, nullable=False) + question_count: Mapped[int] = mapped_column(Integer, nullable=False) + pdf_url: Mapped[str] = mapped_column(String(500), nullable=True) + + created_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), server_default=func.now() + ) diff --git a/backend/app/models/mistake.py b/backend/app/models/mistake.py new file mode 100644 index 0000000..8a93cab --- /dev/null +++ b/backend/app/models/mistake.py @@ -0,0 +1,61 @@ +import json +from datetime import datetime + +from sqlalchemy import String, Text, Integer, ForeignKey, DateTime, Boolean, Numeric, func, TypeDecorator +from sqlalchemy.orm import Mapped, mapped_column, relationship + +from app.database import Base + + +class JSONEncoded(TypeDecorator): + """JSON type that works with both SQLite and PostgreSQL.""" + impl = Text + cache_ok = True + + def process_bind_param(self, value, dialect): + if value is not None: + return json.dumps(value, ensure_ascii=False) + return value + + def process_result_value(self, value, dialect): + if value is not None: + return json.loads(value) + return value + + +class Mistake(Base): + __tablename__ = "mistakes" + + id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True) + user_id: Mapped[int] = mapped_column(Integer, ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True) + subject: Mapped[str] = mapped_column(String(30), nullable=False, index=True) + question_type: Mapped[str] = mapped_column(String(50), nullable=True) + grade_level: Mapped[str] = mapped_column(String(20), nullable=True) + + question_text: Mapped[str] = mapped_column(Text, nullable=False) + correct_answer: Mapped[str] = mapped_column(Text, nullable=True) + student_answer: Mapped[str] = mapped_column(Text, nullable=True) + error_analysis: Mapped[str] = mapped_column(Text, nullable=True) + knowledge_point: Mapped[str] = mapped_column(String(200), nullable=True, index=True) + + ai_analysis = mapped_column(JSONEncoded, nullable=True) + ai_analysis_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=True) + + image_url: Mapped[str] = mapped_column(String(500), nullable=True) + image_thumbnail: Mapped[str] = mapped_column(String(500), nullable=True) + + ocr_raw_response = mapped_column(JSONEncoded, nullable=True) + ocr_confidence: Mapped[float] = mapped_column(Numeric(3, 2), nullable=True) + is_manually_edited: Mapped[bool] = mapped_column(Boolean, default=False) + + status: Mapped[str] = mapped_column(String(20), default="active", index=True) + + created_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), server_default=func.now() + ) + updated_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), server_default=func.now(), onupdate=func.now() + ) + + user = relationship("User", back_populates="mistakes") + review_cards = relationship("ReviewCard", back_populates="mistake", cascade="all, delete-orphan") diff --git a/backend/app/models/review.py b/backend/app/models/review.py new file mode 100644 index 0000000..81e174e --- /dev/null +++ b/backend/app/models/review.py @@ -0,0 +1,100 @@ +import json +from datetime import date, datetime + +from sqlalchemy import ( + String, Integer, SmallInteger, ForeignKey, DateTime, Date, Numeric, UniqueConstraint, func, + TypeDecorator, Text, +) +from sqlalchemy.orm import Mapped, mapped_column, relationship + +from app.database import Base + + +class IntegerArrayEncoded(TypeDecorator): + """Integer array stored as JSON text for SQLite compatibility.""" + impl = Text + cache_ok = True + + def process_bind_param(self, value, dialect): + if value is not None: + return json.dumps(value) + return value + + def process_result_value(self, value, dialect): + if value is not None: + return json.loads(value) + return value + + +class ReviewCard(Base): + __tablename__ = "review_cards" + __table_args__ = ( + UniqueConstraint("user_id", "mistake_id", name="uq_review_card_user_mistake"), + ) + + id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True) + user_id: Mapped[int] = mapped_column(Integer, ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True) + mistake_id: Mapped[int] = mapped_column(Integer, ForeignKey("mistakes.id", ondelete="CASCADE"), nullable=False, index=True) + + ease_factor: Mapped[float] = mapped_column(Numeric(4, 2), default=2.50) + interval_days: Mapped[int] = mapped_column(Integer, default=0) + repetitions: Mapped[int] = mapped_column(Integer, default=0) + + next_review_date: Mapped[date] = mapped_column(Date, nullable=False, index=True) + last_reviewed_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=True) + + status: Mapped[str] = mapped_column(String(20), default="new", index=True) + + created_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), server_default=func.now() + ) + updated_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), server_default=func.now(), onupdate=func.now() + ) + + user = relationship("User", back_populates="review_cards") + mistake = relationship("Mistake", back_populates="review_cards") + logs = relationship("ReviewLog", back_populates="review_card", cascade="all, delete-orphan") + + +class ReviewLog(Base): + __tablename__ = "review_logs" + + id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True) + review_card_id: Mapped[int] = mapped_column(Integer, ForeignKey("review_cards.id", ondelete="CASCADE"), nullable=False, index=True) + user_id: Mapped[int] = mapped_column(Integer, ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True) + mistake_id: Mapped[int] = mapped_column(Integer, ForeignKey("mistakes.id", ondelete="CASCADE"), nullable=False) + + quality: Mapped[int] = mapped_column(SmallInteger, nullable=False) + review_duration_seconds: Mapped[int] = mapped_column(Integer, nullable=True) + + prev_interval: Mapped[int] = mapped_column(Integer, nullable=True) + new_interval: Mapped[int] = mapped_column(Integer, nullable=True) + prev_ease_factor: Mapped[float] = mapped_column(Numeric(4, 2), nullable=True) + new_ease_factor: Mapped[float] = mapped_column(Numeric(4, 2), nullable=True) + + reviewed_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), server_default=func.now() + ) + + review_card = relationship("ReviewCard", back_populates="logs") + + +class ReviewConfig(Base): + __tablename__ = "review_config" + + id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True) + user_id: Mapped[int] = mapped_column(Integer, ForeignKey("users.id", ondelete="CASCADE"), unique=True, nullable=False) + + initial_intervals = mapped_column(IntegerArrayEncoded, default=[1, 2, 4, 7, 15, 30]) + default_ease_factor: Mapped[float] = mapped_column(Numeric(4, 2), default=2.50) + min_ease_factor: Mapped[float] = mapped_column(Numeric(4, 2), default=1.30) + max_daily_reviews: Mapped[int] = mapped_column(Integer, default=20) + mastery_threshold: Mapped[int] = mapped_column(Integer, default=3) + + created_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), server_default=func.now() + ) + updated_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), server_default=func.now(), onupdate=func.now() + ) diff --git a/backend/app/models/user.py b/backend/app/models/user.py new file mode 100644 index 0000000..1033343 --- /dev/null +++ b/backend/app/models/user.py @@ -0,0 +1,25 @@ +from datetime import datetime, timezone + +from sqlalchemy import String, DateTime, func +from sqlalchemy.orm import Mapped, mapped_column, relationship + +from app.database import Base + + +class User(Base): + __tablename__ = "users" + + id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True) + username: Mapped[str] = mapped_column(String(50), unique=True, nullable=False, index=True) + password_hash: Mapped[str] = mapped_column(String(255), nullable=False) + display_name: Mapped[str] = mapped_column(String(100), nullable=True) + grade: Mapped[str] = mapped_column(String(20), nullable=True) + created_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), server_default=func.now() + ) + updated_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), server_default=func.now(), onupdate=func.now() + ) + + mistakes = relationship("Mistake", back_populates="user", cascade="all, delete-orphan") + review_cards = relationship("ReviewCard", back_populates="user", cascade="all, delete-orphan") diff --git a/backend/app/routers/__init__.py b/backend/app/routers/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/app/routers/auth.py b/backend/app/routers/auth.py new file mode 100644 index 0000000..30a44a3 --- /dev/null +++ b/backend/app/routers/auth.py @@ -0,0 +1,48 @@ +from fastapi import APIRouter, Depends, HTTPException, status +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from app.database import get_db +from app.models.user import User +from app.schemas.user import UserCreate, UserLogin, TokenResponse +from app.services.auth_service import hash_password, verify_password, create_token + +router = APIRouter(prefix="/auth", tags=["认证"]) + + +@router.post("/register", response_model=TokenResponse) +async def register(data: UserCreate, db: AsyncSession = Depends(get_db)): + existing = await db.execute(select(User).where(User.username == data.username)) + if existing.scalar_one_or_none(): + raise HTTPException(status_code=400, detail="用户名已存在") + + user = User( + username=data.username, + password_hash=hash_password(data.password), + display_name=data.display_name, + grade=data.grade, + ) + db.add(user) + await db.commit() + await db.refresh(user) + + return TokenResponse( + user_id=user.id, + token=create_token(user.id), + display_name=user.display_name, + ) + + +@router.post("/login", response_model=TokenResponse) +async def login(data: UserLogin, db: AsyncSession = Depends(get_db)): + result = await db.execute(select(User).where(User.username == data.username)) + user = result.scalar_one_or_none() + + if not user or not verify_password(data.password, user.password_hash): + raise HTTPException(status_code=401, detail="用户名或密码错误") + + return TokenResponse( + user_id=user.id, + token=create_token(user.id), + display_name=user.display_name, + ) diff --git a/backend/app/routers/dependencies.py b/backend/app/routers/dependencies.py new file mode 100644 index 0000000..be3b6b4 --- /dev/null +++ b/backend/app/routers/dependencies.py @@ -0,0 +1,27 @@ +from __future__ import annotations +from fastapi import Depends, HTTPException, status +from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials +from sqlalchemy.ext.asyncio import AsyncSession + +from app.database import get_db +from app.models.user import User +from app.services.auth_service import decode_token +from sqlalchemy import select + +security = HTTPBearer() + + +async def get_current_user( + credentials: HTTPAuthorizationCredentials = Depends(security), + db: AsyncSession = Depends(get_db), +) -> User: + user_id = decode_token(credentials.credentials) + if user_id is None: + raise HTTPException(status_code=401, detail="无效的认证令牌") + + result = await db.execute(select(User).where(User.id == user_id)) + user = result.scalar_one_or_none() + if user is None: + raise HTTPException(status_code=401, detail="用户不存在") + + return user diff --git a/backend/app/routers/exam.py b/backend/app/routers/exam.py new file mode 100644 index 0000000..9e6f65d --- /dev/null +++ b/backend/app/routers/exam.py @@ -0,0 +1,116 @@ +from __future__ import annotations +import os +import uuid +from datetime import date + +from fastapi import APIRouter, Depends, HTTPException +from fastapi.responses import FileResponse +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from app.config import settings +from app.database import get_db +from app.models.exam import ExamPaper +from app.models.mistake import Mistake +from app.models.user import User +from app.routers.dependencies import get_current_user +from app.schemas.exam import ExamGenerateRequest, ExamGenerateResponse +from app.services.pdf_service import generate_exam_pdf + +router = APIRouter(prefix="/exam", tags=["试卷"]) + + +@router.post("/generate", response_model=ExamGenerateResponse) +async def generate_exam( + data: ExamGenerateRequest, + user: User = Depends(get_current_user), + db: AsyncSession = Depends(get_db), +): + # Query mistakes + query = select(Mistake).where( + Mistake.user_id == user.id, + Mistake.status == "active", + ) + if data.subjects: + query = query.where(Mistake.subject.in_(data.subjects)) + if data.knowledge_points: + query = query.where(Mistake.knowledge_point.in_(data.knowledge_points)) + + query = query.order_by(Mistake.created_at.desc()).limit(data.question_count) + result = await db.execute(query) + mistakes = result.scalars().all() + + if not mistakes: + raise HTTPException(status_code=400, detail="没有符合条件的错题") + + # Prepare mistake dicts for PDF + mistake_dicts = [ + { + "question_text": m.question_text, + "question_type": m.question_type, + "correct_answer": m.correct_answer, + "student_answer": m.student_answer, + "error_analysis": m.error_analysis, + "knowledge_point": m.knowledge_point, + } + for m in mistakes + ] + + # Generate PDF + filename = f"exam_{uuid.uuid4().hex[:12]}.pdf" + user_dir = os.path.join(settings.UPLOAD_DIR, str(user.id)) + os.makedirs(user_dir, exist_ok=True) + output_path = os.path.join(user_dir, filename) + + generate_exam_pdf( + title=data.title, + student_name=user.display_name or user.username, + grade=user.grade or "", + mistakes=mistake_dicts, + include_answers=data.include_answers, + output_path=output_path, + ) + + # Save record + exam = ExamPaper( + user_id=user.id, + title=data.title, + subjects=data.subjects, + mistake_ids=[m.id for m in mistakes], + question_count=len(mistakes), + pdf_url=f"/uploads/{user.id}/{filename}", + ) + db.add(exam) + await db.commit() + await db.refresh(exam) + + return ExamGenerateResponse( + exam_id=exam.id, + pdf_url=f"/api/v1/exam/{exam.id}/download", + question_count=len(mistakes), + ) + + +@router.get("/{exam_id}/download") +async def download_exam( + exam_id: int, + user: User = Depends(get_current_user), + db: AsyncSession = Depends(get_db), +): + result = await db.execute( + select(ExamPaper).where(ExamPaper.id == exam_id, ExamPaper.user_id == user.id) + ) + exam = result.scalar_one_or_none() + if not exam: + raise HTTPException(status_code=404, detail="试卷不存在") + + # Construct file path from pdf_url + file_path = os.path.join(settings.UPLOAD_DIR, str(user.id), os.path.basename(exam.pdf_url)) + if not os.path.exists(file_path): + raise HTTPException(status_code=404, detail="PDF文件不存在") + + return FileResponse( + path=file_path, + media_type="application/pdf", + filename=f"{exam.title}.pdf", + ) diff --git a/backend/app/routers/mistakes.py b/backend/app/routers/mistakes.py new file mode 100644 index 0000000..c418a03 --- /dev/null +++ b/backend/app/routers/mistakes.py @@ -0,0 +1,227 @@ +from __future__ import annotations +import os +import uuid +from pathlib import Path + +from fastapi import APIRouter, Depends, HTTPException, UploadFile, File, Form, Query +from sqlalchemy import select, func +from sqlalchemy.ext.asyncio import AsyncSession + +from app.config import settings +from app.database import get_db +from app.models.mistake import Mistake +from app.models.review import ReviewCard +from app.models.user import User +from app.routers.dependencies import get_current_user +from app.schemas.mistake import ( + MistakeCreate, MistakeUpdate, MistakeResponse, + MistakeListResponse, MistakeStats, MistakeOCRResponse, OCRResult, +) +from app.utils.image_utils import preprocess_image + +router = APIRouter(prefix="/mistakes", tags=["错题"]) + + +@router.post("", response_model=MistakeResponse) +async def create_mistake( + data: MistakeCreate, + user: User = Depends(get_current_user), + db: AsyncSession = Depends(get_db), +): + mistake = Mistake( + user_id=user.id, + **data.model_dump(), + ) + db.add(mistake) + await db.commit() + await db.refresh(mistake) + + # Auto-create review card + from datetime import date + card = ReviewCard( + user_id=user.id, + mistake_id=mistake.id, + next_review_date=date.today(), + status="new", + ) + db.add(card) + await db.commit() + + return mistake + + +@router.get("", response_model=MistakeListResponse) +async def list_mistakes( + subject: str | None = None, + status_filter: str | None = Query(None, alias="status"), + knowledge_point: str | None = None, + page: int = Query(1, ge=1), + per_page: int = Query(20, ge=1, le=100), + user: User = Depends(get_current_user), + db: AsyncSession = Depends(get_db), +): + query = select(Mistake).where(Mistake.user_id == user.id) + count_query = select(func.count(Mistake.id)).where(Mistake.user_id == user.id) + + if subject: + query = query.where(Mistake.subject == subject) + count_query = count_query.where(Mistake.subject == subject) + if status_filter: + query = query.where(Mistake.status == status_filter) + count_query = count_query.where(Mistake.status == status_filter) + if knowledge_point: + query = query.where(Mistake.knowledge_point == knowledge_point) + count_query = count_query.where(Mistake.knowledge_point == knowledge_point) + + total_result = await db.execute(count_query) + total = total_result.scalar() or 0 + + query = query.order_by(Mistake.created_at.desc()).offset((page - 1) * per_page).limit(per_page) + result = await db.execute(query) + items = result.scalars().all() + + return MistakeListResponse(items=items, total=total, page=page, per_page=per_page) + + +@router.get("/stats", response_model=MistakeStats) +async def get_stats( + user: User = Depends(get_current_user), + db: AsyncSession = Depends(get_db), +): + # Total count + total_q = await db.execute( + select(func.count(Mistake.id)).where(Mistake.user_id == user.id) + ) + total = total_q.scalar() or 0 + + # By subject + subj_q = await db.execute( + select(Mistake.subject, func.count(Mistake.id)) + .where(Mistake.user_id == user.id) + .group_by(Mistake.subject) + ) + by_subject = dict(subj_q.all()) + + # By knowledge point + kp_q = await db.execute( + select(Mistake.knowledge_point, func.count(Mistake.id)) + .where(Mistake.user_id == user.id, Mistake.knowledge_point.isnot(None)) + .group_by(Mistake.knowledge_point) + ) + by_kp = dict(kp_q.all()) + + # Mastered count + mastered_q = await db.execute( + select(func.count(ReviewCard.id)) + .where(ReviewCard.user_id == user.id, ReviewCard.status == "mastered") + ) + mastered = mastered_q.scalar() or 0 + + # Today's review count + from datetime import date + today_q = await db.execute( + select(func.count(ReviewCard.id)) + .where( + ReviewCard.user_id == user.id, + ReviewCard.next_review_date <= date.today(), + ReviewCard.status.in_(["new", "learning", "review"]), + ) + ) + review_today = today_q.scalar() or 0 + + return MistakeStats( + total_mistakes=total, + by_subject=by_subject, + by_knowledge_point=by_kp, + mastered_count=mastered, + review_count_today=review_today, + ) + + +@router.get("/{mistake_id}", response_model=MistakeResponse) +async def get_mistake( + mistake_id: int, + user: User = Depends(get_current_user), + db: AsyncSession = Depends(get_db), +): + result = await db.execute( + select(Mistake).where(Mistake.id == mistake_id, Mistake.user_id == user.id) + ) + mistake = result.scalar_one_or_none() + if not mistake: + raise HTTPException(status_code=404, detail="错题不存在") + return mistake + + +@router.put("/{mistake_id}", response_model=MistakeResponse) +async def update_mistake( + mistake_id: int, + data: MistakeUpdate, + user: User = Depends(get_current_user), + db: AsyncSession = Depends(get_db), +): + result = await db.execute( + select(Mistake).where(Mistake.id == mistake_id, Mistake.user_id == user.id) + ) + mistake = result.scalar_one_or_none() + if not mistake: + raise HTTPException(status_code=404, detail="错题不存在") + + update_data = data.model_dump(exclude_unset=True) + for field, value in update_data.items(): + setattr(mistake, field, value) + + await db.commit() + await db.refresh(mistake) + return mistake + + +@router.delete("/{mistake_id}") +async def delete_mistake( + mistake_id: int, + user: User = Depends(get_current_user), + db: AsyncSession = Depends(get_db), +): + result = await db.execute( + select(Mistake).where(Mistake.id == mistake_id, Mistake.user_id == user.id) + ) + mistake = result.scalar_one_or_none() + if not mistake: + raise HTTPException(status_code=404, detail="错题不存在") + + await db.delete(mistake) + await db.commit() + return {"detail": "已删除"} + + +@router.post("/{mistake_id}/analyze") +async def analyze_mistake( + mistake_id: int, + user: User = Depends(get_current_user), + db: AsyncSession = Depends(get_db), +): + """Trigger AI deep analysis for a specific mistake (optional, costs API tokens).""" + result = await db.execute( + select(Mistake).where(Mistake.id == mistake_id, Mistake.user_id == user.id) + ) + mistake = result.scalar_one_or_none() + if not mistake: + raise HTTPException(status_code=404, detail="错题不存在") + + from datetime import datetime, timezone + from app.services.ai_analysis import generate_analysis + + analysis = await generate_analysis( + question_text=mistake.question_text, + subject=mistake.subject, + correct_answer=mistake.correct_answer, + student_answer=mistake.student_answer, + error_analysis=mistake.error_analysis, + ) + + mistake.ai_analysis = analysis + mistake.ai_analysis_at = datetime.now(timezone.utc) + await db.commit() + await db.refresh(mistake) + + return {"ai_analysis": analysis} diff --git a/backend/app/routers/ocr.py b/backend/app/routers/ocr.py new file mode 100644 index 0000000..58b1fee --- /dev/null +++ b/backend/app/routers/ocr.py @@ -0,0 +1,86 @@ +from __future__ import annotations +import os +import uuid + +from fastapi import APIRouter, Depends, HTTPException, UploadFile, File, Form +from sqlalchemy.ext.asyncio import AsyncSession + +from app.config import settings +from app.database import get_db +from app.models.mistake import Mistake +from app.models.review import ReviewCard +from app.models.user import User +from app.routers.dependencies import get_current_user +from app.schemas.mistake import MistakeOCRResponse, MistakeResponse, OCRResult +from app.utils.image_utils import preprocess_image +from app.services.ocr_service import recognize_mistake + +from datetime import date + +router = APIRouter(prefix="/mistakes", tags=["OCR"]) + + +@router.post("/ocr", response_model=MistakeOCRResponse) +async def ocr_mistake( + image: UploadFile = File(...), + subject: str | None = Form(None), + user: User = Depends(get_current_user), + db: AsyncSession = Depends(get_db), +): + # Read and preprocess image + raw_bytes = await image.read() + if len(raw_bytes) > settings.MAX_FILE_SIZE: + raise HTTPException(status_code=400, detail="图片大小超过10MB限制") + + processed_bytes, media_type = await preprocess_image(raw_bytes, image.filename or "upload.jpg") + + # Save original image + ext = "jpg" + filename = f"{uuid.uuid4().hex}.{ext}" + user_dir = os.path.join(settings.UPLOAD_DIR, str(user.id)) + os.makedirs(user_dir, exist_ok=True) + filepath = os.path.join(user_dir, filename) + with open(filepath, "wb") as f: + f.write(processed_bytes) + + image_url = f"/uploads/{user.id}/{filename}" + + # Call Claude Vision API + ocr_result = await recognize_mistake(processed_bytes, media_type, subject or "") + + # Create mistake record + mistake = Mistake( + user_id=user.id, + subject=ocr_result.get("subject") or subject or "数学", + question_type=ocr_result.get("question_type"), + question_text=ocr_result.get("question_text") or "识别失败，请手动输入", + correct_answer=ocr_result.get("correct_answer"), + student_answer=ocr_result.get("student_answer"), + error_analysis=ocr_result.get("error_analysis"), + knowledge_point=ocr_result.get("knowledge_point"), + image_url=image_url, + ocr_raw_response=ocr_result, + ocr_confidence=ocr_result.get("confidence", 0.5), + ) + db.add(mistake) + await db.commit() + await db.refresh(mistake) + + # Create review card + card = ReviewCard( + user_id=user.id, + mistake_id=mistake.id, + next_review_date=date.today(), + status="new", + ) + db.add(card) + await db.commit() + + confidence = ocr_result.get("confidence", 0.5) + + return MistakeOCRResponse( + id=mistake.id, + ocr_result=OCRResult(**ocr_result), + needs_review=confidence < 0.8, + full_mistake=mistake, + ) diff --git a/backend/app/routers/review.py b/backend/app/routers/review.py new file mode 100644 index 0000000..ceba8ca --- /dev/null +++ b/backend/app/routers/review.py @@ -0,0 +1,307 @@ +from __future__ import annotations +from datetime import date, datetime, timezone + +from fastapi import APIRouter, Depends, HTTPException +from sqlalchemy import select, func +from sqlalchemy.ext.asyncio import AsyncSession + +from app.database import get_db +from app.models.mistake import Mistake +from app.models.review import ReviewCard, ReviewLog, ReviewConfig +from app.models.user import User +from app.routers.dependencies import get_current_user +from app.schemas.review import ( + ReviewCardResponse, ReviewTodayResponse, ReviewAnswerRequest, ReviewAnswerResponse, + ReviewProgressResponse, ReviewConfigUpdate, ReviewConfigResponse, UpcomingDay, +) +from app.schemas.mistake import MistakeResponse +from app.services.spaced_repetition import calculate_next_review, ReviewState, ReviewConfig as SRConfig + +router = APIRouter(prefix="/review", tags=["复习"]) + + +def _get_sr_config(config_row: ReviewConfig | None) -> SRConfig: + if config_row: + return SRConfig( + initial_intervals=config_row.initial_intervals or [1, 2, 4, 7, 15, 30], + default_ease_factor=float(config_row.default_ease_factor or 2.5), + min_ease_factor=float(config_row.min_ease_factor or 1.3), + mastery_threshold=config_row.mastery_threshold or 3, + ) + return SRConfig( + initial_intervals=[1, 2, 4, 7, 15, 30], + default_ease_factor=2.50, + min_ease_factor=1.30, + mastery_threshold=3, + ) + + +@router.get("/today", response_model=ReviewTodayResponse) +async def get_today_reviews( + user: User = Depends(get_current_user), + db: AsyncSession = Depends(get_db), +): + today = date.today() + + # Get user config for max daily reviews + config_q = await db.execute(select(ReviewConfig).where(ReviewConfig.user_id == user.id)) + config_row = config_q.scalar_one_or_none() + max_reviews = config_row.max_daily_reviews if config_row else 20 + + # Count new and review cards due today + due_q = await db.execute( + select(ReviewCard) + .where( + ReviewCard.user_id == user.id, + ReviewCard.next_review_date <= today, + ReviewCard.status.in_(["new", "learning", "review"]), + ) + .order_by( + ReviewCard.status.desc(), # "new" > "review" alphabetically, but we want review first + ReviewCard.next_review_date.asc(), + ) + .limit(max_reviews) + ) + cards = due_q.scalars().all() + + # Count totals + total_q = await db.execute( + select(func.count(ReviewCard.id)).where( + ReviewCard.user_id == user.id, + ReviewCard.next_review_date <= today, + ReviewCard.status.in_(["new", "learning", "review"]), + ) + ) + due_count = total_q.scalar() or 0 + + new_count = sum(1 for c in cards if c.status == "new") + review_count = sum(1 for c in cards if c.status != "new") + + # Build response with mistake data + card_responses = [] + for card in cards: + mistake_q = await db.execute(select(Mistake).where(Mistake.id == card.mistake_id)) + mistake = mistake_q.scalar_one() + card_responses.append( + ReviewCardResponse( + review_card_id=card.id, + mistake=MistakeResponse.model_validate(mistake), + review_number=card.repetitions, + interval_days=card.interval_days, + is_new=card.status == "new", + ) + ) + + return ReviewTodayResponse( + due_count=due_count, + new_count=new_count, + review_count=review_count, + cards=card_responses, + ) + + +@router.post("/{card_id}/answer", response_model=ReviewAnswerResponse) +async def submit_answer( + card_id: int, + data: ReviewAnswerRequest, + user: User = Depends(get_current_user), + db: AsyncSession = Depends(get_db), +): + result = await db.execute( + select(ReviewCard).where(ReviewCard.id == card_id, ReviewCard.user_id == user.id) + ) + card = result.scalar_one_or_none() + if not card: + raise HTTPException(status_code=404, detail="复习卡片不存在") + + # Get config + config_q = await db.execute(select(ReviewConfig).where(ReviewConfig.user_id == user.id)) + config_row = config_q.scalar_one_or_none() + sr_config = _get_sr_config(config_row) + + # Calculate next review + state = ReviewState( + ease_factor=float(card.ease_factor), + interval_days=card.interval_days, + repetitions=card.repetitions, + next_review_date=card.next_review_date, + ) + new_state = calculate_next_review(state, data.quality, sr_config) + + # Log the review + log = ReviewLog( + review_card_id=card.id, + user_id=user.id, + mistake_id=card.mistake_id, + quality=data.quality, + review_duration_seconds=data.duration_seconds, + prev_interval=card.interval_days, + new_interval=new_state.interval_days, + prev_ease_factor=card.ease_factor, + new_ease_factor=new_state.ease_factor, + ) + db.add(log) + + # Update card + card.ease_factor = new_state.ease_factor + card.interval_days = new_state.interval_days + card.repetitions = new_state.repetitions + card.next_review_date = new_state.next_review_date + card.last_reviewed_at = datetime.now(timezone.utc) + card.status = "mastered" if ( + new_state.repetitions >= sr_config.mastery_threshold + and new_state.interval_days >= 30 + ) else ("review" if new_state.repetitions > 0 else "learning") + + await db.commit() + + # Count remaining today + today = date.today() + remaining_q = await db.execute( + select(func.count(ReviewCard.id)).where( + ReviewCard.user_id == user.id, + ReviewCard.next_review_date <= today, + ReviewCard.status.in_(["new", "learning", "review"]), + ReviewCard.id != card.id, + ) + ) + remaining = remaining_q.scalar() or 0 + + return ReviewAnswerResponse( + next_review_date=new_state.next_review_date, + new_interval=new_state.interval_days, + new_ease_factor=new_state.ease_factor, + remaining_today=remaining, + ) + + +@router.get("/progress", response_model=ReviewProgressResponse) +async def get_progress( + user: User = Depends(get_current_user), + db: AsyncSession = Depends(get_db), +): + today = date.today() + + # Today's completed reviews + completed_q = await db.execute( + select(func.count(ReviewLog.id)).where( + ReviewLog.user_id == user.id, + func.date(ReviewLog.reviewed_at) == today, + ) + ) + today_completed = completed_q.scalar() or 0 + + # Today's total due + total_due_q = await db.execute( + select(func.count(ReviewCard.id)).where( + ReviewCard.user_id == user.id, + ReviewCard.next_review_date <= today, + ReviewCard.status.in_(["new", "learning", "review"]), + ) + ) + today_total = total_due_q.scalar() + today_completed + + # Total reviews ever + total_reviews_q = await db.execute( + select(func.count(ReviewLog.id)).where(ReviewLog.user_id == user.id) + ) + total_reviews = total_reviews_q.scalar() or 0 + + # Streak calculation (consecutive days with at least 1 review) + streak = 0 + check_date = today + for _ in range(365): + day_q = await db.execute( + select(func.count(ReviewLog.id)).where( + ReviewLog.user_id == user.id, + func.date(ReviewLog.reviewed_at) == check_date, + ) + ) + if day_q.scalar() > 0: + streak += 1 + check_date = check_date.fromordinal(check_date.toordinal() - 1) + else: + break + + # Upcoming 7 days + upcoming = [] + for i in range(7): + d = date.fromordinal(today.toordinal() + i) + cnt_q = await db.execute( + select(func.count(ReviewCard.id)).where( + ReviewCard.user_id == user.id, + ReviewCard.next_review_date == d, + ReviewCard.status.in_(["new", "learning", "review"]), + ) + ) + upcoming.append(UpcomingDay(date=d, count=cnt_q.scalar() or 0)) + + return ReviewProgressResponse( + today_total=today_total, + today_completed=today_completed, + streak_days=streak, + total_reviews=total_reviews, + upcoming=upcoming, + ) + + +@router.get("/config", response_model=ReviewConfigResponse) +async def get_config( + user: User = Depends(get_current_user), + db: AsyncSession = Depends(get_db), +): + result = await db.execute(select(ReviewConfig).where(ReviewConfig.user_id == user.id)) + config = result.scalar_one_or_none() + + if not config: + return ReviewConfigResponse( + initial_intervals=[1, 2, 4, 7, 15, 30], + default_ease_factor=2.50, + min_ease_factor=1.30, + max_daily_reviews=20, + mastery_threshold=3, + ) + + return ReviewConfigResponse( + initial_intervals=config.initial_intervals or [1, 2, 4, 7, 15, 30], + default_ease_factor=float(config.default_ease_factor), + min_ease_factor=float(config.min_ease_factor), + max_daily_reviews=config.max_daily_reviews, + mastery_threshold=config.mastery_threshold, + ) + + +@router.put("/config", response_model=ReviewConfigResponse) +async def update_config( + data: ReviewConfigUpdate, + user: User = Depends(get_current_user), + db: AsyncSession = Depends(get_db), +): + result = await db.execute(select(ReviewConfig).where(ReviewConfig.user_id == user.id)) + config = result.scalar_one_or_none() + + if not config: + config = ReviewConfig(user_id=user.id) + db.add(config) + + if data.initial_intervals is not None: + config.initial_intervals = data.initial_intervals + if data.default_ease_factor is not None: + config.default_ease_factor = data.default_ease_factor + if data.min_ease_factor is not None: + config.min_ease_factor = data.min_ease_factor + if data.max_daily_reviews is not None: + config.max_daily_reviews = data.max_daily_reviews + if data.mastery_threshold is not None: + config.mastery_threshold = data.mastery_threshold + + await db.commit() + await db.refresh(config) + + return ReviewConfigResponse( + initial_intervals=config.initial_intervals or [1, 2, 4, 7, 15, 30], + default_ease_factor=float(config.default_ease_factor), + min_ease_factor=float(config.min_ease_factor), + max_daily_reviews=config.max_daily_reviews, + mastery_threshold=config.mastery_threshold, + ) diff --git a/backend/app/schemas/__init__.py b/backend/app/schemas/__init__.py new file mode 100644 index 0000000..7c75155 --- /dev/null +++ b/backend/app/schemas/__init__.py @@ -0,0 +1,15 @@ +from app.schemas.user import UserCreate, UserLogin, UserResponse, TokenResponse +from app.schemas.mistake import MistakeCreate, MistakeUpdate, MistakeResponse, MistakeListResponse, MistakeStats +from app.schemas.review import ( + ReviewCardResponse, ReviewTodayResponse, ReviewAnswerRequest, ReviewAnswerResponse, + ReviewProgressResponse, ReviewConfigUpdate, ReviewConfigResponse +) +from app.schemas.exam import ExamGenerateRequest, ExamGenerateResponse + +__all__ = [ + "UserCreate", "UserLogin", "UserResponse", "TokenResponse", + "MistakeCreate", "MistakeUpdate", "MistakeResponse", "MistakeListResponse", "MistakeStats", + "ReviewCardResponse", "ReviewTodayResponse", "ReviewAnswerRequest", "ReviewAnswerResponse", + "ReviewProgressResponse", "ReviewConfigUpdate", "ReviewConfigResponse", + "ExamGenerateRequest", "ExamGenerateResponse", +] diff --git a/backend/app/schemas/exam.py b/backend/app/schemas/exam.py new file mode 100644 index 0000000..db66378 --- /dev/null +++ b/backend/app/schemas/exam.py @@ -0,0 +1,19 @@ +from __future__ import annotations +from typing import Optional + +from pydantic import BaseModel, Field + + +class ExamGenerateRequest(BaseModel): + title: str = Field(default="错题练习试卷") + subjects: list[str] = Field(default_factory=list) + question_count: int = Field(default=10, ge=1, le=50) + include_answers: bool = True + knowledge_points: Optional[list[str]] = None + randomize: bool = True + + +class ExamGenerateResponse(BaseModel): + exam_id: int + pdf_url: str + question_count: int diff --git a/backend/app/schemas/mistake.py b/backend/app/schemas/mistake.py new file mode 100644 index 0000000..1d3b9a2 --- /dev/null +++ b/backend/app/schemas/mistake.py @@ -0,0 +1,86 @@ +from __future__ import annotations +from datetime import datetime +from typing import Optional, Any + +from pydantic import BaseModel, Field + + +class MistakeCreate(BaseModel): + subject: str = Field(..., description="科目：数学/语文/英语") + question_type: Optional[str] = None + question_text: str = Field(..., description="题目内容") + correct_answer: Optional[str] = None + student_answer: Optional[str] = None + error_analysis: Optional[str] = None + knowledge_point: Optional[str] = None + grade_level: Optional[str] = None + + +class MistakeUpdate(BaseModel): + subject: Optional[str] = None + question_type: Optional[str] = None + question_text: Optional[str] = None + correct_answer: Optional[str] = None + student_answer: Optional[str] = None + error_analysis: Optional[str] = None + knowledge_point: Optional[str] = None + grade_level: Optional[str] = None + status: Optional[str] = None + is_manually_edited: Optional[bool] = None + + +class MistakeResponse(BaseModel): + id: int + user_id: int + subject: str + question_type: Optional[str] + grade_level: Optional[str] + question_text: str + correct_answer: Optional[str] + student_answer: Optional[str] + error_analysis: Optional[str] + knowledge_point: Optional[str] + image_url: Optional[str] + image_thumbnail: Optional[str] + ocr_confidence: Optional[float] + is_manually_edited: bool + ai_analysis: Optional[dict] = None + ai_analysis_at: Optional[datetime] = None + status: str + created_at: datetime + updated_at: datetime + + model_config = {"from_attributes": True} + + +class MistakeListResponse(BaseModel): + items: list[MistakeResponse] + total: int + page: int + per_page: int + + +class MistakeStats(BaseModel): + total_mistakes: int + by_subject: dict[str, int] + by_knowledge_point: dict[str, int] + mastered_count: int + review_count_today: int + + +class OCRResult(BaseModel): + subject: Optional[str] = None + question_type: Optional[str] = None + question_text: Optional[str] = None + student_answer: Optional[str] = None + correct_answer: Optional[str] = None + error_analysis: Optional[str] = None + knowledge_point: Optional[str] = None + confidence: float = 0.5 + + +class MistakeOCRResponse(BaseModel): + id: int + ocr_result: OCRResult + needs_review: bool + full_mistake: MistakeResponse diff --git a/backend/app/schemas/review.py b/backend/app/schemas/review.py new file mode 100644 index 0000000..17f54d5 --- /dev/null +++ b/backend/app/schemas/review.py @@ -0,0 +1,65 @@ +from __future__ import annotations +from datetime import date, datetime +from typing import Optional + +from pydantic import BaseModel, Field + +from app.schemas.mistake import MistakeResponse + + +class ReviewCardResponse(BaseModel): + review_card_id: int + mistake: MistakeResponse + review_number: int + interval_days: int + is_new: bool + + +class ReviewTodayResponse(BaseModel): + due_count: int + new_count: int + review_count: int + cards: list[ReviewCardResponse] + + +class ReviewAnswerRequest(BaseModel): + quality: int = Field(..., ge=1, le=5, description="1=完全不会 5=非常熟练") + duration_seconds: Optional[int] = None + + +class ReviewAnswerResponse(BaseModel): + next_review_date: date + new_interval: int + new_ease_factor: float + remaining_today: int + + +class UpcomingDay(BaseModel): + date: date + count: int + + +class ReviewProgressResponse(BaseModel): + today_total: int + today_completed: int + streak_days: int + total_reviews: int + upcoming: list[UpcomingDay] + + +class ReviewConfigUpdate(BaseModel): + initial_intervals: Optional[list[int]] = None + default_ease_factor: Optional[float] = None + min_ease_factor: Optional[float] = None + max_daily_reviews: Optional[int] = None + mastery_threshold: Optional[int] = None + + +class ReviewConfigResponse(BaseModel): + initial_intervals: list[int] + default_ease_factor: float + min_ease_factor: float + max_daily_reviews: int + mastery_threshold: int + + model_config = {"from_attributes": True} diff --git a/backend/app/schemas/user.py b/backend/app/schemas/user.py new file mode 100644 index 0000000..b516551 --- /dev/null +++ b/backend/app/schemas/user.py @@ -0,0 +1,32 @@ +from datetime import datetime +from typing import Optional + +from pydantic import BaseModel, Field + + +class UserCreate(BaseModel): + username: str = Field(..., min_length=2, max_length=50) + password: str = Field(..., min_length=4, max_length=100) + display_name: Optional[str] = None + grade: Optional[str] = None + + +class UserLogin(BaseModel): + username: str + password: str + + +class UserResponse(BaseModel): + id: int + username: str + display_name: Optional[str] + grade: Optional[str] + created_at: datetime + + model_config = {"from_attributes": True} + + +class TokenResponse(BaseModel): + user_id: int + token: str + display_name: Optional[str] diff --git a/backend/app/services/__init__.py b/backend/app/services/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/app/services/ai_analysis.py b/backend/app/services/ai_analysis.py new file mode 100644 index 0000000..608fc73 --- /dev/null +++ b/backend/app/services/ai_analysis.py @@ -0,0 +1,96 @@ +from __future__ import annotations +import json +import re +from typing import Optional + +import httpx + +from app.config import settings + +ANALYSIS_PROMPT = """你是一位经验丰富的小学老师，正在为学生讲解一道错题。 +请用简单易懂的语言，分三个部分讲解： + +1. **解题思路**：一步步讲解正确的解题方法 +2. **知识点讲解**：这道题涉及的核心知识点，用通俗的话解释 +3. **举一反三**：给出一道类似但不同的练习题，帮助巩固 + +注意： +- 语言要适合小学生理解，避免过于专业的术语 +- 数学题要写清楚每一步的计算过程 +- 如果是语文/英语题，要解释清楚规则和用法 + +请返回以下JSON格式（不要包含其他文字）： + +{{ + "solution_steps": "一步步的解题思路...", + "knowledge_explanation": "知识点讲解...", + "similar_question": "一道类似练习题...", + "similar_answer": "类似题的答案..." +}}""" + + +def _extract_json(text: str) -> dict: + try: + return json.loads(text) + except json.JSONDecodeError: + pass + match = re.search(r"```(?:json)?\s*(\{.*?\})\s*```", text, re.DOTALL) + if match: + return json.loads(match.group(1)) + match = re.search(r"\{[^{}]*(?:\{[^{}]*\}[^{}]*)*\}", text, re.DOTALL) + if match: + return json.loads(match.group(0)) + raise ValueError(f"无法解析JSON: {text[:300]}") + + +KIMI_API_BASE = "https://api.moonshot.cn/v1" +KIMI_MODEL = "moonshot-v1-8k" # 纯文本模型，更便宜 + + +async def generate_analysis( + question_text: str, + subject: str, + correct_answer: Optional[str] = None, + student_answer: Optional[str] = None, + error_analysis: Optional[str] = None, +) -> dict: + """Call Kimi to generate deep analysis for a mistake.""" + if not settings.KIMI_API_KEY: + return { + "solution_steps": "（AI解析未配置，请在设置中填入Kimi API Key）", + "knowledge_explanation": "", + "similar_question": "", + "similar_answer": "", + } + + user_content = f"科目：{subject}\n题目：{question_text}" + if correct_answer: + user_content += f"\n正确答案：{correct_answer}" + if student_answer: + user_content += f"\n学生答案：{student_answer}" + if error_analysis: + user_content += f"\n错误类型：{error_analysis}" + + payload = { + "model": KIMI_MODEL, + "max_tokens": 2048, + "messages": [ + {"role": "system", "content": ANALYSIS_PROMPT}, + {"role": "user", "content": user_content}, + ], + } + + async with httpx.AsyncClient(timeout=60.0) as client: + resp = await client.post( + f"{KIMI_API_BASE}/chat/completions", + headers={ + "Authorization": f"Bearer {settings.KIMI_API_KEY}", + "Content-Type": "application/json", + }, + json=payload, + ) + resp.raise_for_status() + data = resp.json() + + response_text = data["choices"][0]["message"]["content"] + return _extract_json(response_text) diff --git a/backend/app/services/auth_service.py b/backend/app/services/auth_service.py new file mode 100644 index 0000000..88f9631 --- /dev/null +++ b/backend/app/services/auth_service.py @@ -0,0 +1,45 @@ +from datetime import datetime, timedelta, timezone +from typing import Optional + +from jose import jwt, JWTError +from passlib.context import CryptContext +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from app.config import settings +from app.models.user import User + +pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto") + + +def hash_password(password: str) -> str: + return pwd_context.hash(password) + + +def verify_password(plain: str, hashed: str) -> bool: + return pwd_context.verify(plain, hashed) + + +def create_token(user_id: int) -> str: + expire = datetime.now(timezone.utc) + timedelta(minutes=settings.JWT_EXPIRE_MINUTES) + return jwt.encode( + {"sub": str(user_id), "exp": expire}, + settings.JWT_SECRET, + algorithm=settings.JWT_ALGORITHM, + ) + + +def decode_token(token: str) -> Optional[int]: + try: + payload = jwt.decode(token, settings.JWT_SECRET, algorithms=[settings.JWT_ALGORITHM]) + return int(payload["sub"]) + except (JWTError, KeyError, ValueError): + return None + + +async def authenticate_user(db: AsyncSession, username: str, password: str) -> Optional[User]: + result = await db.execute(select(User).where(User.username == username)) + user = result.scalar_one_or_none() + if user and verify_password(password, user.password_hash): + return user + return None diff --git a/backend/app/services/ocr_service.py b/backend/app/services/ocr_service.py new file mode 100644 index 0000000..4717613 --- /dev/null +++ b/backend/app/services/ocr_service.py @@ -0,0 +1,123 @@ +import base64 +import json +import re + +import httpx + +from app.config import settings + +SYSTEM_PROMPT = """你是一个专门为小学生错题识别设计的AI助手。 +你需要分析上传的错题图片，提取以下信息： + +1. **题目内容**：完整准确地提取题目文字 +2. **题型**：判断题目类型 + - 数学：填空题、选择题、计算题、应用题、判断题 + - 语文：拼音题、字词题、句子题、阅读理解、作文 + - 英语：单词题、语法题、翻译题、阅读理解 +3. **学生答案**：如果能看到学生写的错误答案 +4. **正确答案**：如果能判断出正确答案 +5. **可能的错误原因**：根据错误类型推断 +6. **知识点**：归类到具体知识点 + +注意事项： +- 手写体和印刷体都要能识别 +- 数学公式要准确提取（使用标准数学符号） +- 如果图片模糊或不确定，confidence设为较低值 +- 必须返回严格的JSON格式，不要包含任何其他文字""" + +USER_PROMPT_TEMPLATE = """请分析这张错题图片。 +{subject_hint} +请返回以下JSON格式（不要包含任何其他文字）： + +{{ + "subject": "数学/语文/英语", + "question_type": "题型", + "question_text": "完整题目内容", + "student_answer": "学生写的错误答案（如果能看到）", + "correct_answer": "正确答案（如果能判断）", + "error_analysis": "错误原因分析", + "knowledge_point": "知识点", + "confidence": 0.85 +}}""" + + +def _extract_json(text: str) -> dict: + """Extract JSON from model response, handling markdown code blocks.""" + try: + return json.loads(text) + except json.JSONDecodeError: + pass + + match = re.search(r"```(?:json)?\s*(\{.*?\})\s*```", text, re.DOTALL) + if match: + return json.loads(match.group(1)) + + match = re.search(r"\{[^{}]*(?:\{[^{}]*\}[^{}]*)*\}", text, re.DOTALL) + if match: + return json.loads(match.group(0)) + + raise ValueError(f"无法从响应中解析JSON: {text[:300]}") + + +KIMI_API_BASE = "https://api.moonshot.cn/v1" +KIMI_MODEL = "moonshot-v1-8k-vision-preview" + + +async def recognize_mistake( + image_bytes: bytes, + media_type: str, + subject_hint: str = "", +) -> dict: + """Call Kimi Vision API to recognize a mistake from an image.""" + if not settings.KIMI_API_KEY: + return { + "subject": subject_hint or "数学", + "question_type": "填空题", + "question_text": "(OCR未配置API密钥，请手动输入题目)", + "student_answer": None, + "correct_answer": None, + "error_analysis": None, + "knowledge_point": None, + "confidence": 0.0, + } + + image_b64 = base64.b64encode(image_bytes).decode("utf-8") + subject_line = f"已知科目：{subject_hint}" if subject_hint else "请自动识别科目" + + payload = { + "model": KIMI_MODEL, + "max_tokens": 2048, + "messages": [ + {"role": "system", "content": SYSTEM_PROMPT}, + { + "role": "user", + "content": [ + { + "type": "image_url", + "image_url": { + "url": f"data:{media_type};base64,{image_b64}", + }, + }, + { + "type": "text", + "text": USER_PROMPT_TEMPLATE.format(subject_hint=subject_line), + }, + ], + }, + ], + } + + async with httpx.AsyncClient(timeout=60.0) as client: + resp = await client.post( + f"{KIMI_API_BASE}/chat/completions", + headers={ + "Authorization": f"Bearer {settings.KIMI_API_KEY}", + "Content-Type": "application/json", + }, + json=payload, + ) + resp.raise_for_status() + data = resp.json() + + response_text = data["choices"][0]["message"]["content"] + return _extract_json(response_text) diff --git a/backend/app/services/pdf_service.py b/backend/app/services/pdf_service.py new file mode 100644 index 0000000..dc2fef2 --- /dev/null +++ b/backend/app/services/pdf_service.py @@ -0,0 +1,159 @@ +from __future__ import annotations +import os +import uuid +from datetime import date +from pathlib import Path + +from reportlab.lib.pagesizes import A4 +from reportlab.lib.units import mm +from reportlab.lib.styles import ParagraphStyle +from reportlab.lib.enums import TA_LEFT, TA_CENTER +from reportlab.pdfbase import pdfmetrics +from reportlab.pdfbase.ttfonts import TTFont +from reportlab.platypus import ( + SimpleDocTemplate, Paragraph, Spacer, HRFlowable, PageBreak, +) +from reportlab.lib import colors + +# Try to register Chinese fonts +_FONT_DIR = os.path.join(os.path.dirname(__file__), "..", "static", "fonts") +_FONTS_REGISTERED = False + + +def _register_fonts(): + global _FONTS_REGISTERED + if _FONTS_REGISTERED: + return + + regular = os.path.join(_FONT_DIR, "NotoSansSC-Regular.ttf") + bold = os.path.join(_FONT_DIR, "NotoSansSC-Bold.ttf") + + if os.path.exists(regular): + pdfmetrics.registerFont(TTFont("NotoSansSC", regular)) + pdfmetrics.registerFont(TTFont("NotoSansSC-Bold", bold)) + else: + # Fallback to system fonts on Windows + win_fonts = { + "regular": "C:/Windows/Fonts/msyh.ttc", + "bold": "C:/Windows/Fonts/msyhbd.ttc", + } + if os.path.exists(win_fonts["regular"]): + pdfmetrics.registerFont(TTFont("NotoSansSC", win_fonts["regular"], subfontIndex=0)) + pdfmetrics.registerFont(TTFont("NotoSansSC-Bold", win_fonts["bold"], subfontIndex=0)) + else: + # Last resort: use Helvetica (won't render Chinese) + pass + + _FONTS_REGISTERED = True + + +# Page dimensions +PAGE_W, PAGE_H = A4 +MARGIN = 20 * mm + +# Styles +def _get_styles() -> dict[str, ParagraphStyle]: + _register_fonts() + font = "NotoSansSC" + font_bold = "NotoSansSC-Bold" + + return { + "title": ParagraphStyle( + "Title", fontName=font_bold, fontSize=18, alignment=TA_CENTER, spaceAfter=4 * mm + ), + "subtitle": ParagraphStyle( + "Subtitle", fontName=font, fontSize=10, alignment=TA_CENTER, textColor=colors.gray, spaceAfter=6 * mm + ), + "section": ParagraphStyle( + "Section", fontName=font_bold, fontSize=14, spaceBefore=8 * mm, spaceAfter=4 * mm + ), + "question": ParagraphStyle( + "Question", fontName=font, fontSize=12, leading=20, spaceBefore=3 * mm, spaceAfter=2 * mm + ), + "answer": ParagraphStyle( + "Answer", fontName=font, fontSize=11, leading=18, spaceBefore=1.5 * mm + ), + "answer_title": ParagraphStyle( + "AnswerTitle", fontName=font_bold, fontSize=16, alignment=TA_CENTER, spaceAfter=4 * mm + ), + } + + +def _group_by_type(mistakes: list[dict]) -> dict[str, list[dict]]: + groups: dict[str, list[dict]] = {} + for m in mistakes: + qtype = m.get("question_type") or "其他" + groups.setdefault(qtype, []).append(m) + return groups + + +def generate_exam_pdf( + title: str, + student_name: str, + grade: str, + mistakes: list[dict], + include_answers: bool, + output_path: str, +) -> str: + """Generate an A4 PDF exam paper from a list of mistakes.""" + _register_fonts() + styles = _get_styles() + + doc = SimpleDocTemplate( + output_path, + pagesize=A4, + leftMargin=MARGIN, + rightMargin=MARGIN, + topMargin=MARGIN, + bottomMargin=MARGIN, + ) + + story = [] + + # Header + story.append(Paragraph(title, styles["title"])) + story.append( + Paragraph( + f"{student_name} · {grade} · {date.today().strftime('%Y年%m月%d日')}", + styles["subtitle"], + ) + ) + story.append(HRFlowable(width="100%", thickness=0.5, color=colors.grey)) + story.append(Spacer(1, 4 * mm)) + + # Questions grouped by type + grouped = _group_by_type(mistakes) + section_labels = ["一", "二", "三", "四", "五", "六", "七", "八", "九", "十"] + q_num = 1 + + for idx, (qtype, questions) in enumerate(grouped.items()): + label = section_labels[idx] if idx < len(section_labels) else str(idx + 1) + story.append(Paragraph(f"{label}、{qtype}（共{len(questions)}题）", styles["section"])) + + for q in questions: + text = q.get("question_text", "") + student_ans = q.get("student_answer", "") + line = f"{q_num}. {text}" + if student_ans: + line += f" （你的答案：{student_ans}）" + story.append(Paragraph(line, styles["question"])) + story.append(Spacer(1, 2 * mm)) + q_num += 1 + + # Answer key + if include_answers and mistakes: + story.append(PageBreak()) + story.append(Paragraph("参考答案", styles["answer_title"])) + story.append(HRFlowable(width="100%", thickness=0.5, color=colors.grey)) + story.append(Spacer(1, 4 * mm)) + + for i, m in enumerate(mistakes, 1): + ans = m.get("correct_answer") or "—" + analysis = m.get("error_analysis") or "" + line = f"{i}. {ans}" + if analysis: + line += f" （{analysis}）" + story.append(Paragraph(line, styles["answer"])) + + doc.build(story) + return output_path diff --git a/backend/app/services/spaced_repetition.py b/backend/app/services/spaced_repetition.py new file mode 100644 index 0000000..84432b1 --- /dev/null +++ b/backend/app/services/spaced_repetition.py @@ -0,0 +1,89 @@ +from __future__ import annotations +from dataclasses import dataclass +from datetime import date, timedelta + + +@dataclass +class ReviewState: + ease_factor: float + interval_days: int + repetitions: int + next_review_date: date + + +@dataclass +class ReviewConfig: + initial_intervals: list[int] # default [1, 2, 4, 7, 15, 30] + default_ease_factor: float # 2.50 + min_ease_factor: float # 1.30 + mastery_threshold: int # 3 + + +DEFAULT_CONFIG = ReviewConfig( + initial_intervals=[1, 2, 4, 7, 15, 30], + default_ease_factor=2.50, + min_ease_factor=1.30, + mastery_threshold=3, +) + + +def calculate_next_review( + state: ReviewState, + quality: int, # 1-5 + config: ReviewConfig = DEFAULT_CONFIG, +) -> ReviewState: + """ + SM-2 variant for primary school students. + + quality: + 1 = 完全忘记 + 2 = 想起来很费劲 + 3 = 想了一会儿才答对 + 4 = 比较顺利 + 5 = 非常熟练 + """ + new_ease_factor = state.ease_factor + new_interval = state.interval_days + new_repetitions = state.repetitions + + if quality >= 3: + # Correct answer + if new_repetitions < len(config.initial_intervals): + new_interval = config.initial_intervals[new_repetitions] + else: + new_interval = round(state.interval_days * state.ease_factor) + new_repetitions += 1 + else: + # Wrong answer — reset + new_repetitions = 0 + new_interval = config.initial_intervals[0] + + # Update ease factor using SM-2 formula + ef_delta = 0.1 - (5 - quality) * (0.08 + (5 - quality) * 0.02) + new_ease_factor = state.ease_factor + ef_delta + new_ease_factor = max(config.min_ease_factor, new_ease_factor) + + next_date = date.today() + timedelta(days=new_interval) + + # Determine status + if ( + quality >= 3 + and new_repetitions >= config.mastery_threshold + and new_interval >= 30 + ): + status = "mastered" + elif new_repetitions > 0: + status = "review" + else: + status = "learning" + + return ReviewState( + ease_factor=round(new_ease_factor, 2), + interval_days=new_interval, + repetitions=new_repetitions, + next_review_date=next_date, + ) + + +def is_mastered(repetitions: int, interval_days: int, config: ReviewConfig = DEFAULT_CONFIG) -> bool: + return repetitions >= config.mastery_threshold and interval_days >= 30 diff --git a/backend/app/utils/image_utils.py b/backend/app/utils/image_utils.py new file mode 100644 index 0000000..2bcae47 --- /dev/null +++ b/backend/app/utils/image_utils.py @@ -0,0 +1,24 @@ +from __future__ import annotations +import io +from PIL import Image + +MAX_WIDTH = 1920 +MAX_HEIGHT = 1920 +JPEG_QUALITY = 85 + + +async def preprocess_image(image_bytes: bytes, filename: str) -> tuple[bytes, str]: + """Compress and normalize uploaded images.""" + img = Image.open(io.BytesIO(image_bytes)) + + # Convert to RGB (remove alpha channel) + if img.mode in ("RGBA", "P", "LA"): + img = img.convert("RGB") + + # Resize proportionally if too large + if img.width > MAX_WIDTH or img.height > MAX_HEIGHT: + img.thumbnail((MAX_WIDTH, MAX_HEIGHT), Image.LANCZOS) + + output = io.BytesIO() + img.save(output, format="JPEG", quality=JPEG_QUALITY) + return output.getvalue(), "image/jpeg" diff --git a/backend/edu_system.db b/backend/edu_system.db new file mode 100644 index 0000000..9d3f564 Binary files /dev/null and b/backend/edu_system.db differ diff --git a/backend/init_db.py b/backend/init_db.py new file mode 100644 index 0000000..a29f213 --- /dev/null +++ b/backend/init_db.py @@ -0,0 +1,20 @@ +"""Create all database tables.""" +import asyncio +import sys +import os + +sys.path.insert(0, os.path.dirname(__file__)) + +from app.database import engine, Base +from app.models import User, Mistake, ReviewCard, ReviewLog, ReviewConfig, ExamPaper + + +async def main(): + async with engine.begin() as conn: + await conn.run_sync(Base.metadata.create_all) + print("Database tables created successfully!") + await engine.dispose() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/backend/requirements.txt b/backend/requirements.txt new file mode 100644 index 0000000..c946234 --- /dev/null +++ b/backend/requirements.txt @@ -0,0 +1,13 @@ +fastapi>=0.110.0 +uvicorn[standard]>=0.27.0 +sqlalchemy[asyncio]>=2.0 +alembic>=1.13.0 +aiosqlite>=0.20.0 +httpx>=0.27.0 +pillow>=10.0.0 +reportlab>=4.1.0 +python-jose[cryptography]>=3.3.0 +passlib[bcrypt]>=1.7.4 +python-multipart>=0.0.6 +pydantic>=2.5 +pydantic-settings>=2.1 diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 0000000..480e129 --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,31 @@ +services: + db: + image: postgres:16 + environment: + POSTGRES_DB: edu_system + POSTGRES_USER: postgres + POSTGRES_PASSWORD: 1234567890 + ports: + - "5432:5432" + volumes: + - pgdata:/var/lib/postgresql/data + + backend: + build: ./backend + ports: + - "8000:8000" + depends_on: + - db + env_file: .env + volumes: + - ./storage/uploads:/app/storage/uploads + + frontend: + build: ./frontend + ports: + - "3000:3000" + depends_on: + - backend + +volumes: + pgdata: diff --git a/frontend/next-env.d.ts b/frontend/next-env.d.ts new file mode 100644 index 0000000..40c3d68 --- /dev/null +++ b/frontend/next-env.d.ts @@ -0,0 +1,5 @@ +/// +/// + +// NOTE: This file should not be edited +// see https://nextjs.org/docs/app/building-your-application/configuring/typescript for more information. diff --git a/frontend/next.config.js b/frontend/next.config.js new file mode 100644 index 0000000..31b7286 --- /dev/null +++ b/frontend/next.config.js @@ -0,0 +1,17 @@ +/** @type {import('next').NextConfig} */ +const nextConfig = { + async rewrites() { + return [ + { + source: '/api/:path*', + destination: 'http://192.168.0.102:8000/api/:path*', + }, + { + source: '/uploads/:path*', + destination: 'http://192.168.0.102:8000/uploads/:path*', + }, + ]; + }, +}; + +module.exports = nextConfig; diff --git a/frontend/package-lock.json b/frontend/package-lock.json new file mode 100644 index 0000000..219c00b --- /dev/null +++ b/frontend/package-lock.json @@ -0,0 +1,2145 @@ +{ + "name": "edu-system-frontend", + "version": "1.0.0", + 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} + } +} diff --git a/frontend/package.json b/frontend/package.json new file mode 100644 index 0000000..c92ad9d --- /dev/null +++ b/frontend/package.json @@ -0,0 +1,32 @@ +{ + "name": "quizfrog", + "version": "1.0.0", + "private": true, + "scripts": { + "dev": "next dev", + "build": "next build", + "start": "next start", + "lint": "next lint" + }, + "dependencies": { + "next": "^14.2.0", + "react": "^18.3.0", + "react-dom": "^18.3.0", + "@tanstack/react-query": "^5.0.0", + "axios": "^1.7.0", + "react-dropzone": "^14.2.0", + "framer-motion": "^11.0.0", + "react-hot-toast": "^2.4.0", + "date-fns": "^3.6.0", + "zustand": "^4.5.0" + }, + "devDependencies": { + "typescript": "^5.4.0", + "@types/node": "^20.0.0", + "@types/react": "^18.3.0", + "@types/react-dom": "^18.3.0", + "tailwindcss": "^3.4.0", + "postcss": "^8.4.0", + "autoprefixer": "^10.4.0" + } +} diff --git a/frontend/postcss.config.js b/frontend/postcss.config.js new file mode 100644 index 0000000..12a703d --- /dev/null +++ b/frontend/postcss.config.js @@ -0,0 +1,6 @@ +module.exports = { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +}; diff --git a/frontend/src/app/collect/page.tsx b/frontend/src/app/collect/page.tsx new file mode 100644 index 0000000..204125f --- /dev/null +++ b/frontend/src/app/collect/page.tsx @@ -0,0 +1,368 @@ +"use client"; + +import { useState, useCallback } from "react"; +import { useRouter } from "next/navigation"; +import { useDropzone } from "react-dropzone"; +import toast from "react-hot-toast"; +import api from "@/lib/api"; +import { useAuthStore } from "@/lib/store"; +import { SUBJECTS } from "@/types"; +import type { MistakeOCRResponse } from "@/types"; + +export default function CollectPage() { + const router = useRouter(); + const isLoggedIn = useAuthStore((s) => s.isLoggedIn); + const [subject, setSubject] = useState(""); + const [uploading, setUploading] = useState(false); + const [result, setResult] = useState(null); + const [editing, setEditing] = useState(false); + const [editData, setEditData] = useState({ + question_text: "", + correct_answer: "", + student_answer: "", + error_analysis: "", + knowledge_point: "", + }); + const [mode, setMode] = useState<"ocr" | "manual">("ocr"); + + const onDrop = useCallback( + async (acceptedFiles: File[]) => { + if (!isLoggedIn) { + router.push("/login"); + return; + } + const file = acceptedFiles[0]; + if (!file) return; + + setUploading(true); + const formData = new FormData(); + formData.append("image", file); + if (subject) formData.append("subject", subject); + + try { + const res = await api.post("/mistakes/ocr", formData, { + headers: { "Content-Type": "multipart/form-data" }, + }); + setResult(res.data); + setEditData({ + question_text: res.data.ocr_result.question_text || "", + correct_answer: res.data.ocr_result.correct_answer || "", + student_answer: res.data.ocr_result.student_answer || "", + error_analysis: res.data.ocr_result.error_analysis || "", + knowledge_point: res.data.ocr_result.knowledge_point || "", + }); + toast.success("识别完成！"); + } catch (err: any) { + toast.error(err.response?.data?.detail || "识别失败"); + } finally { + setUploading(false); + } + }, + [subject, isLoggedIn] + ); + + const { getRootProps, getInputProps, isDragActive } = useDropzone({ + onDrop, + accept: { "image/*": [".jpg", ".jpeg", ".png", ".webp"] }, + maxFiles: 1, + maxSize: 10 * 1024 * 1024, + }); + + const handleManualSubmit = async (e: React.FormEvent) => { + e.preventDefault(); + try { + await api.post("/mistakes", { + subject: subject || "数学", + ...editData, + }); + toast.success("错题已保存！"); + setEditData({ + question_text: "", + correct_answer: "", + student_answer: "", + error_analysis: "", + knowledge_point: "", + }); + } catch (err: any) { + toast.error(err.response?.data?.detail || "保存失败"); + } + }; + + const handleSaveEdit = async () => { + if (!result) return; + try { + await api.put(`/mistakes/${result.id}`, { + ...editData, + is_manually_edited: true, + }); + toast.success("已更新！"); + setResult(null); + setEditing(false); + } catch (err: any) { + toast.error(err.response?.data?.detail || "更新失败"); + } + }; + + if (!isLoggedIn) { + router.push("/login"); + return null; + } + + return ( +
+

收集错题

+ + {/* Mode Toggle */} +
+ + +
+ + {/* Subject Selector */} +
+ {SUBJECTS.map((s) => ( + + ))} +
+ + {mode === "ocr" ? ( + <> + {/* Upload Zone */} + {!result && ( +
+ + {uploading ? ( +
+
⏳
+

AI识别中...

+
+ ) : ( +
+
📸
+

+ {isDragActive ? "松开上传" : "点击或拖拽上传错题图片"} +

+

支持 JPG, PNG, WebP (最大10MB)

+
+ )} +
+ )} + + {/* OCR Result */} + {result && ( +
+
+

识别结果

+ {result.needs_review && ( + + 需要确认 + + )} +
+ + {result.full_mistake.image_url && ( + 错题原图 + )} + + {editing ? ( +
+
+ +