chengkai3
51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
from __future__ import annotations
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from typing import Literal
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from pydantic import BaseModel, Field
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from .question_bank import QuestionBankSummary
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QuestionType = Literal["single_choice", "multiple_choice", "true_false", "short_answer"]
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QuestionStatus = Literal["draft", "published", "archived"]
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QuestionDifficulty = Literal["easy", "medium", "hard"]
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class MdResolveOption(BaseModel):
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key: str = Field(min_length=1, max_length=16)
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content: str = Field(min_length=1, max_length=20000)
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class MdResolveQuestionDraft(BaseModel):
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question_type: QuestionType = "single_choice"
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stem: str = Field(min_length=1, max_length=20000)
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options_json: list[MdResolveOption] | None = None
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answer: str = Field(min_length=1, max_length=20000)
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analysis: str | None = Field(default=None, max_length=20000)
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difficulty: QuestionDifficulty = "medium"
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status: QuestionStatus = "draft"
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tags_json: list[str] = Field(default_factory=list)
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class MdResolveParseRequest(BaseModel):
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markdown: str = Field(min_length=1, max_length=300000)
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default_question_type: QuestionType = "single_choice"
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default_difficulty: QuestionDifficulty = "medium"
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default_status: QuestionStatus = "draft"
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class MdResolveParseResponse(BaseModel):
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items: list[MdResolveQuestionDraft]
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total: int
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warnings: list[str] = Field(default_factory=list)
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class MdResolveImportRequest(BaseModel):
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items: list[MdResolveQuestionDraft] = Field(min_length=1, max_length=500)
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class MdResolveImportResponse(BaseModel):
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created_count: int
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items: list[QuestionBankSummary]
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warnings: list[str] = Field(default_factory=list)
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