import json
import re

def _looks_like_placeholder_text(text: str) -> bool:
    normalized = (text or "").strip()
    if not normalized:
        return False

    placeholder_patterns = [
        r"^题目内容$",
        r"^解析内容$",
        r"^参考措施$",
        r"^答题要点$",
        r"^具体选项内容$",
        r"^选项[ABCD]$",
        r"^.+工程相关(?:单选题|多选题|判断题|简答题)\d+$",
        r"^.+相关(?:单选题|多选题|判断题|简答题)\d+$",
        r"^第?\d+题$",
        r"^题目\d+$",
    ]
    return any(re.search(pattern, normalized) for pattern in placeholder_patterns)

def _exam_payload_has_placeholders(payload) -> bool:
    if isinstance(payload, dict):
        return any(_exam_payload_has_placeholders(value) for value in payload.values())
    if isinstance(payload, list):
        return any(_exam_payload_has_placeholders(item) for item in payload)
    if isinstance(payload, str):
        if _looks_like_placeholder_text(payload):
            print(f"Match found for: {payload}")
            return True
        return False
    return False

# we can simulate the generated JSON to see which field triggers the placeholder
mock_payload = {
  "title": "隧道工程施工技术考核",
  "totalScore": 100,
  "totalQuestions": 10,
  "singleChoice": {"scorePerQuestion": 2, "totalScore": 20, "count": 10, "questions": [{"text": "这是一个单选题题干", "options": [{"key": "A", "text": "选项A具体内容"}, {"key": "B", "text": "选项B具体内容"}], "answer": "A", "analysis": "解析内容"}]},
}

print("Has placeholder:", _exam_payload_has_placeholders(mock_payload))