3e37bf2128
New feature: generate flashcards from PDF sections using AI, completely separate from the existing quiz system. Backend: - FlashcardDeck + Flashcard models with cascade deletes - flashcard_tag_links table for tag classification (reuses question_tags) - /api/flashcards/ router: CRUD for decks, browse/search cards, tag filtering - generate_flashcard_deck Celery task with chunked processing + progress - FLASHCARD_PROMPT in extraction_modes.py (15 cards per chunk) - "flashcard" added to admin model task types Frontend: - FlashcardsPage: deck grid + card browser with search/filter - FlashcardStudyPage: flip cards, mark known/review, keyboard nav, shuffle, progress bar, completion screen - DocumentDetailPage: "Create Flashcards" button alongside "Extract Quiz" - Navbar: Flashcards link - AdminPage: flashcard in model task dropdown Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
29 lines
670 B
Python
29 lines
670 B
Python
from datetime import datetime
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from pydantic import BaseModel
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class FlashcardDeckCreate(BaseModel):
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section_id: int
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title: str
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model_id: str | None = None
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class FlashcardResponse(BaseModel):
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id: int
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front: str
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back: str
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page_reference: int | None = None
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image_path: str | None = None
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class Config:
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from_attributes = True
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class FlashcardDeckResponse(BaseModel):
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id: int
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title: str
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section_id: int | None = None
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user_id: int
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card_count: int
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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 FlashcardDeckDetail(FlashcardDeckResponse):
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cards: list[FlashcardResponse] = []
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