shudao-main/shudao-chat-py/test_exam_prompt.py

import asyncio
from pydantic import BaseModel, Field

class QuestionTypeItem(BaseModel):
    questionType: str = ""
    name: str = ""
    count: int = 0
    questionCount: int = 0
    scorePerQuestion: int = 0
    romanNumeral: str = ""

class BuildPromptRequest(BaseModel):
    mode: str = ""
    client: str = ""
    projectType: str = ""
    examTitle: str = ""
    totalScore: int = 0
    questionTypes: list[QuestionTypeItem] = Field(default_factory=list)
    pptContent: str = ""

data = BuildPromptRequest(**{
  "mode": "ai",
  "client": "pc",
  "projectType": "bridge",
  "examTitle": "桥梁工程施工技术考核",
  "totalScore": 100,
  "questionTypes": [
    {
      "name": "单选题",
      "romanNumeral": "一",
      "questionCount": 20,
      "scorePerQuestion": 2
    },
    {
      "name": "判断题",
      "romanNumeral": "二",
      "questionCount": 10,
      "scorePerQuestion": 3
    }
  ],
  "pptContent": ""
})

question_desc = []
total_count = 0
for item in data.questionTypes:
    count = item.count or item.questionCount or 0
    score = item.scorePerQuestion or 0
    qtype = item.questionType or item.name or "未命名题型"
    total_count += count
    question_desc.append(f"{qtype}{count}道，每道{score}分")

question_text = "；".join(question_desc) if question_desc else "题型未提供"
question_schema_lines = []
for item in data.questionTypes:
    count = item.count or item.questionCount or 0
    score = item.scorePerQuestion or 0
    qtype = item.questionType or item.name or "未命名题型"
    if count <= 0:
        continue
    question_schema_lines.append(f"- {qtype}: {count}道，每道{score}分")

question_schema = "\n".join(
    question_schema_lines) if question_schema_lines else "- 未提供有效题型"

ppt_content = (data.pptContent or "").strip()

basis_requirement = ""
if ppt_content:
    basis_requirement = (
        "出题依据内容是本次试卷的核心来源，所有题目必须围绕该内容中的知识点、术语、流程、规范要求和场景展开。\n"
        "如果出题依据内容中出现了章节、条款、培训主题或专业术语，题目必须优先考查这些内容，不能偏离到无关知识。\n"
        "单选题、多选题、判断题和简答题的题干、选项、答案解析都要与出题依据内容直接相关，不能泛泛而谈。\n"
        "请结合出题依据内容、工程类型和题型要求，生成有具体内容、具体选项、具体答案、具体解析的试卷。\n"
    )
else:
    basis_requirement = (
        "请结合工程类型、考试标题和题型要求，运用路桥隧轨施工安全等专业知识，生成有具体内容、具体选项、具体答案、具体解析的高质量试卷。\n"
        "所有题目必须与考试标题紧密相关，不能泛泛而谈。\n"
    )

prompt = (
    "请根据以下要求直接生成一份完整试卷，并严格返回纯 JSON，不要输出 markdown 代码块、解释说明或额外文字。\n"
    f"生成模式：{data.mode or '未指定'}\n"
    f"客户端：{data.client or '未指定'}\n"
    f"项目类型：{data.projectType or '未指定'}\n"
    f"考试标题：{data.examTitle or '未命名考试'}\n"
    f"总分：{data.totalScore or 0}\n"
    f"总题量：{total_count}\n"
    f"题型要求：{question_text}\n"
    f"出题依据内容：{ppt_content or '无'}\n"
    f"{basis_requirement}"
    "禁止输出“选项A”“题目1”“桥梁工程相关单选题1”“题目内容”“解析内容”这类占位内容，所有题目必须是可直接展示和作答的真实内容。\n"
    "下面的 JSON 结构示例只用于说明字段格式，示例中的字符串不能原样照抄到最终结果中，最终返回的每个字符串都必须替换成结合出题依据生成的具体内容。\n"
    "JSON 输出结构必须符合以下格式：\n"
    "{\n"
    '  "title": "试卷标题",\n'
    '  "totalScore": 100,\n'
    '  "totalQuestions": 10,\n'
    '  "singleChoice": {"scorePerQuestion": 2, "totalScore": 20, "count": 10, "questions": [{"text": "<单选题题干>", "options": [{"key": "A", "text": "<选项A具体内容>"}, {"key": "B", "text": "<选项B具体内容>"}, {"key": "C", "text": "<选项C具体内容>"}, {"key": "D", "text": "<选项D具体内容>"}], "answer": "A", "analysis": "<解析内容>"}]},\n'
    '  "judge": {"scorePerQuestion": 2, "totalScore": 0, "count": 0, "questions": [{"text": "<判断题题干>", "answer": "正确", "analysis": "<解析内容>"}]},\n'
    '  "multiple": {"scorePerQuestion": 3, "totalScore": 0, "count": 0, "questions": [{"text": "<多选题题干>", "options": [{"key": "A", "text": "<选项A具体内容>"}, {"key": "B", "text": "<选项B具体内容>"}, {"key": "C", "text": "<选项C具体内容>"}, {"key": "D", "text": "<选项D具体内容>"}], "answers": ["A", "C"], "analysis": "<解析内容>"}]},\n'
    '  "short": {"scorePerQuestion": 10, "totalScore": 0, "count": 0, "questions": [{"text": "<简答题题干>", "outline": {"keyFactors": "<答题要点>", "measures": "<参考措施>"}}]}\n'
    "}\n"
    "请按下面的题型配置生成对应数量的题目，没有的题型 count 返回 0、questions 返回空数组：\n"
    f"{question_schema}"
)

print(prompt)