a2a2da7da0
LMS / Course System: - Course → Module → Lesson hierarchy (any user can create) - Lesson types: text, video (Vimeo/YouTube/local), document, quiz, live_session - Video provider auto-detection from URL - BBB API integration (create/join meetings) with env config - Course enrollment with per-lesson progress tracking - AI content generation/refinement for text lessons - Draft/published/archived status workflow - Subscription gate placeholder (requires_subscription flag) - Thumbnail upload support - Module/lesson reorder with up/down controls User Quiz Creation: - Any user can create quizzes from question bank (was moderator-only) - User quizzes: is_published=0, is_shared=0 (private by default) - Fixed section_id fallback: None instead of hardcoded 1 Manual Question Creation: - POST /questions/create endpoint for manual MCQ entry - CreateQuestionModal on QuestionBankPage with options, radio for correct answer - Auto-generates embedding on creation Frontend: - CoursesPage: Browse/My Courses/Created tabs with search and pagination - CourseDetailPage: Student view with module accordion, lesson viewer, progress - CourseEditorPage: Full course builder with AI generate, question bank browser - Courses link in Navbar - Create Question button on Question Bank (available to all users) Backend: - 5 new tables: courses, course_modules, course_lessons, course_enrollments, course_lesson_progress - Course model + schemas + router (22 endpoints) - BBB_SERVER_URL + BBB_SECRET config - Updated CLAUDE.md with LMS documentation Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
71 lines
1.9 KiB
Python
71 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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is_shared: int = 0
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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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