import json
from collections import Counter

def analyze_window_history_lengths(filepath):
    """
    统计JSONL文件中所有window_history的长度分布
    
    Args:
        filepath: JSONL文件的路径
        
    Returns:
        Counter对象，包含长度分布统计
    """
    length_counter = Counter()
    total_records = 0
    total_breakpoints = 0
    total_window_histories = 0
    
    try:
        with open(filepath, 'r', encoding='utf-8') as f:
            for line_num, line in enumerate(f, 1):
                line = line.strip()
                if not line:
                    continue
                
                try:
                    data = json.loads(line)
                    total_records += 1
                    
                    # 检查是否有daily_breakpoints字段
                    if 'daily_breakpoints' not in data:
                        print(f"警告: 第{line_num}行没有'daily_breakpoints'字段")
                        continue
                    
                    daily_breakpoints = data['daily_breakpoints']
                    
                    # 遍历每个breakpoint
                    for i, breakpoint in enumerate(daily_breakpoints):
                        total_breakpoints += 1
                        
                        # 检查是否有window_history字段
                        if 'window_history' not in breakpoint:
                            print(f"警告: 第{line_num}行的breakpoint[{i}]没有'window_history'字段")
                            continue
                        
                        window_history = breakpoint['window_history']
                        
                        # 统计长度
                        if isinstance(window_history, list):
                            length = len(window_history)
                            length_counter[length] += 1
                            total_window_histories += 1
                        else:
                            print(f"警告: 第{line_num}行的breakpoint[{i}]的'window_history'不是列表")
                
                except json.JSONDecodeError as e:
                    print(f"JSON解析错误在第{line_num}行: {e}")
                    continue
        
        return length_counter, total_records, total_breakpoints, total_window_histories
    
    except FileNotFoundError:
        print(f"文件未找到: {filepath}")
        return None, 0, 0, 0
    except Exception as e:
        print(f"发生错误: {e}")
        return None, 0, 0, 0

def print_statistics(length_counter, total_records, total_breakpoints, total_window_histories):
    """
    打印统计结果
    """
    print("\n" + "="*60)
    print("统计摘要:")
    print("="*60)
    print(f"总JSON记录数: {total_records}")
    print(f"总breakpoints数: {total_breakpoints}")
    print(f"总window_history数: {total_window_histories}")
    
    if not length_counter:
        print("\n没有找到任何window_history数据")
        return
    
    print("\n" + "="*60)
    print("Window History 长度分布:")
    print("="*60)
    print(f"{'长度':<10} {'数量':<10} {'百分比':<10} {'分布图'}")
    print("-"*60)
    
    # 按长度排序
    for length in sorted(length_counter.keys()):
        count = length_counter[length]
        percentage = (count / total_window_histories) * 100
        bar = '█' * int(percentage / 2)  # 每个█代表2%
        print(f"{length:<10} {count:<10} {percentage:>6.2f}%   {bar}")
    
    print("\n" + "="*60)
    print("统计信息:")
    print("="*60)
    print(f"最小长度: {min(length_counter.keys())}")
    print(f"最大长度: {max(length_counter.keys())}")
    
    # 计算平均长度
    total_length = sum(length * count for length, count in length_counter.items())
    avg_length = total_length / total_window_histories
    print(f"平均长度: {avg_length:.2f}")
    
    # 计算中位数
    sorted_lengths = []
    for length, count in sorted(length_counter.items()):
        sorted_lengths.extend([length] * count)
    median_length = sorted_lengths[len(sorted_lengths) // 2]
    print(f"中位数长度: {median_length}")
    
    print("="*60)

# 使用示例
if __name__ == "__main__":
    # 替换成你的JSONL文件路径
    filepath = "/data/haofeiy2/social-world-model/data/splitted_polymarket/polymarket_data_processed_with_news_train_2024-11-01.jsonl"
    
    print(f"正在分析文件: {filepath}")
    length_counter, total_records, total_breakpoints, total_window_histories = \
        analyze_window_history_lengths(filepath)
    
    if length_counter is not None:
        print_statistics(length_counter, total_records, total_breakpoints, total_window_histories)