74d83af57f
- Backend: AI generation fallbacks when OpenAI not configured, full exam submission saving all params (difficulty, rubric, entity, grading system, approval workflow) and creating linked question records per section - Backend: new exam session controller with get_session, autosave, submit, status, and results endpoints; student attempt/answer/score models - Backend: new controllers for entities, approval workflows, exam schedules - Frontend: exam session split-layout with passage panel, question types (MCQ, T/F/NG, gap-fill, writing, speaking), timer, and review dialog - Frontend: results page with percentage score, per-answer breakdown table - Frontend: generation page dynamic dropdowns, full payload submission - Frontend: updated types for ExamSessionSection, ExamQuestion options Made-with: Cursor
14 lines
279 B
Python
14 lines
279 B
Python
CEFR_LEVELS = ['A1', 'A2', 'B1', 'B2', 'C1', 'C2']
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GPT_MODELS = {
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'default': 'gpt-4o',
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'fast': 'gpt-4o-mini',
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}
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TEMPERATURE = 0.7
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TOPICS = [
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'Education', 'Technology', 'Health', 'Environment', 'Culture',
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'Travel', 'Science', 'Business', 'Sports', 'Society',
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]
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