b876f13fac
- FastAPI backend with JWT auth, roles (admin/moderator/user) - PDF upload (up to 500MB) with streaming, PyMuPDF text extraction - ChromaDB vectorization per page with metadata - LiteLLM AI question extraction from PDF (not generation) - Image extraction from PDF pages, graceful fallback - Quiz modes: timed (countdown timer) + learning (answers shown inline) - Page-by-page question navigation with dot navigator - TTS endpoint using LiteLLM (Google Vertex / OpenAI voices) - Admin dashboard: AI model management per task, user role management - Moderator role: upload PDFs, create sections, generate quizzes - Spaced repetition reminders via SMTP email (SM-2 intervals) - APScheduler daily reminder jobs - Celery + Redis for background PDF processing - React frontend with all pages - Docker Compose deployment (nginx + backend + celery + redis) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
34 lines
543 B
Python
34 lines
543 B
Python
from datetime import datetime
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from pydantic import BaseModel, EmailStr
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class UserCreate(BaseModel):
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email: EmailStr
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password: str
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name: str
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class UserResponse(BaseModel):
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id: int
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email: str
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name: str
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role: str
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created_at: datetime
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class Config:
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from_attributes = True
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class Token(BaseModel):
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access_token: str
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token_type: str = "bearer"
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class LoginRequest(BaseModel):
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email: EmailStr
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password: str
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class UserUpdateRole(BaseModel):
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role: str # admin, moderator, user
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