- Fix tag filtering (sa_text import shadowing caused UnboundLocalError) - Add TagBrowser component with per-section search - Multi-category selection (OR within categories, AND with tags) - AI image validation: has_figure field in extraction prompt - Skip known branding images by MD5 hash + dimension filters - Fix quiz timer auto-submit (wrong useEffect dependency) - Fix QuizResponse schema: section_id nullable - Fix Question.quiz_id → source_quiz_id attribute name - Fix SQL injection in quizzes.py vector search - Add PDF processing progress steps via Redis - Add delete user from admin panel - Admin page: no spinner flash on data refresh - Upload progress: axios 1.x e.progress, remove manual Content-Type - Duplicate model error: 409 with clear message - Backend startup: retry DDL migration on lock timeout - Replace all silent except:pass with warning logs - Comprehensive multi-page documentation (docs/) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
70 lines
1.9 KiB
Python
70 lines
1.9 KiB
Python
from datetime import datetime
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from pydantic import BaseModel
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class QuizCreate(BaseModel):
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section_id: int | None = None
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title: str
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mode: str = "timed" # timed, learning
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time_limit_minutes: int | None = None
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model_id: str | None = None # override extraction model
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question_category_id: int | None = None # assign extracted questions to this bank category
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extraction_mode: str = "standard"
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# standard — current working mode (inline Correct Answer / Preferred Response)
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# questions_only — extract Q+options only, no answers (admin fills later)
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# two_step — separate answer key section (PREP 2013 style)
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# regex — AI analyses format then extracts answer key with regex
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# ai_decide — AI reads a sample and decides which approach to use
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class QuizUpdate(BaseModel):
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title: str
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class QuestionResponse(BaseModel):
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id: int
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question_text: str
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question_type: str
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options: list[str] | 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 QuestionWithAnswer(QuestionResponse):
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correct_answer: str
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explanation: str | None
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page_reference: int | None
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class QuizResponse(BaseModel):
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id: int
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section_id: int | None = None
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user_id: int
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title: str
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questions_count: int
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mode: str
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time_limit_minutes: int | None
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skipped_questions: str | None = None
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category_id: int | None = None
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created_at: datetime
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deleted_at: datetime | None = None
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is_published: int = 1
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class Config:
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from_attributes = True
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class QuizDetail(QuizResponse):
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questions: list[QuestionResponse] = []
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class QuizLearningDetail(QuizResponse):
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"""Learning mode — includes answers and explanations."""
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questions: list[QuestionWithAnswer] = []
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class QuizReview(QuizResponse):
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questions: list[QuestionWithAnswer] = []
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