"""
统计AI相关的弹幕数据，并将前8项结果保存到Excel文件中
"""

import pandas as pd
from concurrent.futures import ThreadPoolExecutor

def load_danmu(file_path):
    """从文件中读取弹幕数据"""
    with open(file_path, 'r', encoding='utf-8') as f:
        return f.readlines()

def filter_and_count_danmu(danmu_list):
    """统计AI相关的弹幕频率"""
    all_danmus = {}
    ai_keywords = ['ai', '智能', '技术', '应用', '人机', 'AI', '人工智能', '机器学习', '深度学习', '神经网络']
    with ThreadPoolExecutor() as executor:
        for danmu in executor.map(str.strip, danmu_list):
            if any(keyword in danmu for keyword in ai_keywords):
                all_danmus[danmu] = all_danmus.get(danmu, 0) + 1
    return all_danmus

def save_to_excel(all_danmus, excel_file):
    """将统计的AI相关弹幕保存到Excel文件中"""
    sorted_danmus = sorted(all_danmus.items(), key=lambda x: x[1], reverse=True)[:8]
    df = pd.DataFrame(sorted_danmus, columns=['danmu', 'count'])
    df.to_excel(excel_file, index=False)

def main():
    """读取弹幕数据、统计AI相关弹幕并保存到Excel"""
    danmu_file_path = '/output/danmu.txt'
    excel_file = '/output/Top8_Danmu.xlsx'

    danmu_list = load_danmu(danmu_file_path)
    all_danmus = filter_and_count_danmu(danmu_list)
    save_to_excel(all_danmus, excel_file)

    print("与AI相关的弹幕数据统计完成，并已保存到Excel表格")

if __name__ == '__main__':
    main()