111 lines
3.5 KiB
Python
111 lines
3.5 KiB
Python
import json
|
||
from openai import OpenAI
|
||
import time
|
||
|
||
# 配置API
|
||
client = OpenAI(
|
||
api_key="sk-2b675306a92d4fb389766291ab3f1ec1",
|
||
base_url="https://dashscope.aliyuncs.com/compatible-mode/v1"
|
||
)
|
||
|
||
def analyze_question(question):
|
||
"""分析题目并生成记忆要点"""
|
||
prompt = f"""分析这道D365考试题目，生成简洁的记忆要点帮助快速记忆。
|
||
|
||
题目：
|
||
{question['stem']}
|
||
|
||
选项：
|
||
{chr(10).join([f"{opt['label']}. {opt['text']}" for opt in question['options']])}
|
||
|
||
正确答案：{question['answer']}
|
||
|
||
请用中文生成以下内容（每项不超过100字）：
|
||
|
||
1. 关键词提示：题目中的关键英文单词或短语
|
||
2. 题目特点：这道题的独特之处
|
||
3. 记忆技巧：如何快速记住这道题的答案
|
||
4. 答案解析：为什么这个答案是对的
|
||
|
||
请用JSON格式返回：
|
||
{{
|
||
"keywords": "关键词提示",
|
||
"features": "题目特点",
|
||
"memory_tips": "记忆技巧",
|
||
"explanation": "答案解析"
|
||
}}
|
||
"""
|
||
|
||
try:
|
||
response = client.chat.completions.create(
|
||
model="qwen-plus",
|
||
messages=[
|
||
{"role": "system", "content": "你是一个D365考试专家，擅长总结题目要点和记忆技巧。"},
|
||
{"role": "user", "content": prompt}
|
||
],
|
||
temperature=0.7,
|
||
max_tokens=500
|
||
)
|
||
|
||
result = response.choices[0].message.content.strip()
|
||
|
||
# 提取JSON
|
||
if '```json' in result:
|
||
result = result.split('```json')[1].split('```')[0].strip()
|
||
elif '```' in result:
|
||
result = result.split('```')[1].split('```')[0].strip()
|
||
|
||
return json.loads(result)
|
||
except Exception as e:
|
||
print(f"Error analyzing question {question['topic']}-{question['question_num']}: {e}")
|
||
return {
|
||
"keywords": "分析失败",
|
||
"features": "分析失败",
|
||
"memory_tips": "分析失败",
|
||
"explanation": "分析失败"
|
||
}
|
||
|
||
def main():
|
||
# 加载题目
|
||
with open('exam_data/questions_translated.json', 'r', encoding='utf-8') as f:
|
||
questions = json.load(f)
|
||
|
||
# 加载已有的记忆要点
|
||
with open('exam_data/question_tips.json', 'r', encoding='utf-8') as f:
|
||
tips_data = json.load(f)
|
||
|
||
print(f"总共 {len(questions)} 道题目")
|
||
print(f"已有 {len(tips_data)} 道题目的记忆要点")
|
||
|
||
# 找出需要重新分析的题目（前20道）
|
||
failed_keys = [k for k, v in tips_data.items() if v.get('keywords') == '分析失败']
|
||
print(f"需要重新分析 {len(failed_keys)} 道题目")
|
||
|
||
# 重新分析失败的题目
|
||
for i, question in enumerate(questions):
|
||
key = f"{question['topic']}-{question['question_num']}"
|
||
|
||
if key in failed_keys:
|
||
print(f"[{i+1}/{len(questions)}] 重新分析题目: {key}")
|
||
|
||
tips = analyze_question(question)
|
||
tips_data[key] = tips
|
||
|
||
# 每分析5道题保存一次
|
||
if (i + 1) % 5 == 0:
|
||
with open('exam_data/question_tips.json', 'w', encoding='utf-8') as f:
|
||
json.dump(tips_data, f, ensure_ascii=False, indent=2)
|
||
print(f"已保存进度")
|
||
|
||
# 避免API限流
|
||
time.sleep(0.5)
|
||
|
||
# 最终保存
|
||
with open('exam_data/question_tips.json', 'w', encoding='utf-8') as f:
|
||
json.dump(tips_data, f, ensure_ascii=False, indent=2)
|
||
|
||
print(f"\n完成！共重新分析 {len(failed_keys)} 道题目")
|
||
|
||
if __name__ == "__main__":
|
||
main()
|