new version

analyze_question_tips.py

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+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)
+    
+    print(f"总共 {len(questions)} 道题目需要分析")
+    
+    # 加载已分析的题目
+    try:
+        with open('exam_data/question_tips.json', 'r', encoding='utf-8') as f:
+            tips_data = json.load(f)
+            analyzed_count = len(tips_data)
+    except:
+        tips_data = {}
+        analyzed_count = 0
+    
+    print(f"已分析 {analyzed_count} 道题目")
+    
+    # 分析题目
+    for i, question in enumerate(questions):
+        key = f"{question['topic']}-{question['question_num']}"
+        
+        # 跳过已分析的题目
+        if key in tips_data:
+            print(f"[{i+1}/{len(questions)}] 跳过已分析: {key}")
+            continue
+        
+        print(f"[{i+1}/{len(questions)}] 分析题目: {key}")
+        
+        tips = analyze_question(question)
+        tips_data[key] = tips
+        
+        # 每分析10道题保存一次
+        if (i + 1) % 10 == 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 {len(tips_data)} 道题目的分析结果")
+        
+        # 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！共分析 {len(tips_data)} 道题目")
+
+if __name__ == "__main__":
+    main()