Update analyzer.py

analyzer.py

@@ -1,38 +1,50 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
-import pandas as pd
-from collections import Counter
-
-class DataAnalyzer:
-    """数据分析类"""
-    
-    def __init__(self):
-        print("数据分析器初始化")
-    
-    def get_top_applications(self, word_freq, top_n=8):
-        """获取排名前N的AI应用案例"""
-        print(f"提取前{top_n}个AI应用案例")
-        
-        # 这里需要根据实际关键词筛选AI应用相关词汇
-        # 暂时先返回频率最高的词汇
-        top_words = word_freq.most_common(top_n)
-        
-        # 转换为DataFrame便于写入Excel
-        df = pd.DataFrame(top_words, columns=['应用案例', '出现次数'])
-        return df
-    
-    def save_to_excel(self, df, filename='top_applications.xlsx'):
-        """保存结果到Excel"""
-        df.to_excel(filename, index=False)
-        print(f"结果已保存到: {filename}")
-
-if __name__ == "__main__":
-    analyzer = DataAnalyzer()
-    test_freq = Counter({
-        '智能客服': 45, '代码生成': 38, '文本创作': 35, 
-        '机器翻译': 32, '智能问答': 28, '数据分析': 25,
-        '图像识别': 22, '语音助手': 20, '推荐系统': 18
-    })
-    top_apps = analyzer.get_top_applications(test_freq)
-    print("前8大AI应用案例:")
-    print(top_apps)
+"""
+analyzer.py
+分析模块：根据关键词频率生成结论文本
+"""
+
+import os
+
+class Analyzer:
+    """弹幕关键词分析与结论生成"""
+
+    def __init__(self, output_dir="output"):
+        self.output_dir = output_dir
+        os.makedirs(self.output_dir, exist_ok=True)
+        print("🧠 分析器初始化")
+
+    def generate_conclusion(self, freq_counter, keyword):
+        """生成分析结论"""
+        print("💡 生成数据分析结论")
+        total_words = sum(freq_counter.values())
+        top_words = freq_counter.most_common(8)
+
+        lines = []
+        lines.append(f"关键词分析主题：{keyword}")
+        lines.append(f"弹幕总词数：{total_words}")
+        lines.append("最常出现的热词：")
+        for w, c in top_words:
+            lines.append(f" - {w}: {c} 次")
+
+        # 简单趋势判断
+        focus = [w for w, _ in top_words]
+        if any("学习" in w for w in focus):
+            trend = "教育与学习相关方向热度高"
+        elif any("内容" in w or "创作" in w for w in focus):
+            trend = "内容创作与AI结合趋势明显"
+        elif any("应用" in w or "工具" in w for w in focus):
+            trend = "AI应用工具成为讨论焦点"
+        else:
+            trend = "整体舆情积极，用户关注技术与实践结合"
+
+        lines.append(f"\n趋势预测：{trend}")
+        lines.append("\n总体结论：")
+        lines.append(f"在B站关于「{keyword}」的讨论中，观众总体情绪积极，对AI技术发展充满兴趣。")
+
+        conclusion_path = os.path.join(self.output_dir, "conclusion.txt")
+        with open(conclusion_path, "w", encoding="utf-8") as f:
+            f.write("\n".join(lines))
+
+        print(f"✅ 结论已保存至: {conclusion_path}")