#!/usr/bin/env python3
# -*- coding: utf-8 -*-

"""
首次播放逻辑专项测试
验证第一句TTS触发机制的优化效果
"""

import sys

def test_first_playback_logic():
    """测试首次播放逻辑"""
    print("🎵 首次播放逻辑专项测试")
    print("=" * 50)
    
    # 测试场景1: 短句子积累
    print("📝 测试场景1: 短句子积累")
    print("   模拟LLM生成的短句子流:")
    
    short_sentences = [
        "你好",
        "嗯", 
        "这个",
        "问题",
        "确实",
        "需要",
        "仔细",
        "思考",
    ]
    
    buffer = []
    total_length = 0
    first_trigger = None
    
    for i, sentence in enumerate(short_sentences):
        buffer.append(sentence)
        total_length = sum(len(s) for s in buffer)
        
        # 模拟首次播放逻辑
        trigger_reason = None
        if total_length >= 40 and len(buffer) >= 2:
            trigger_reason = f"总长度{total_length}字符，{len(buffer)}个句子"
        elif len(buffer) >= 5:
            trigger_reason = f"缓冲区达到最大值{len(buffer)}"
        
        if trigger_reason and first_trigger is None:
            first_trigger = i + 1
            print(f"   🎵 第{first_trigger}句触发TTS: {trigger_reason}")
            print(f"   📝 发送内容: '{''.join(buffer)}'")
            break
        else:
            print(f"   ⏳ 第{i+1}句: '{sentence}' (累计: {total_length}字符, {len(buffer)}个句子)")
    
    if first_trigger is None:
        print("   ⚠️  未触发TTS（需要超时机制）")
    print()
    
    # 测试场景2: 中等长度句子
    print("📝 测试场景2: 中等长度句子")
    medium_sentences = [
        "你好，很高兴见到你。",
        "今天天气真不错呢。",
        "我们可以一起去公园玩吗？",
        "我想那会是一个很好的主意。",
    ]
    
    buffer = []
    total_length = 0
    first_trigger = None
    
    for i, sentence in enumerate(medium_sentences):
        buffer.append(sentence)
        total_length = sum(len(s) for s in buffer)
        
        # 模拟首次播放逻辑
        trigger_reason = None
        if total_length >= 40 and len(buffer) >= 2:
            trigger_reason = f"总长度{total_length}字符，{len(buffer)}个句子"
        elif len(sentence) >= 25 and sentence.endswith(('。', '！', '？', '.', '!', '?')) and len(buffer) >= 2:
            trigger_reason = f"长句子{len(sentence)}字符+缓冲内容"
        
        if trigger_reason and first_trigger is None:
            first_trigger = i + 1
            print(f"   🎵 第{first_trigger}句触发TTS: {trigger_reason}")
            print(f"   📝 发送内容: '{''.join(buffer)}'")
            break
        else:
            print(f"   ⏳ 第{i+1}句: '{sentence}' (累计: {total_length}字符, {len(buffer)}个句子)")
    
    if first_trigger is None:
        print("   ⚠️  未触发TTS（需要超时机制）")
    print()
    
    # 测试场景3: 长句子
    print("📝 测试场景3: 长句子")
    long_sentences = [
        "你好，",
        "我认为这个问题需要我们从多个角度来分析。",
        "首先，让我们仔细了解一下具体情况。",
    ]
    
    buffer = []
    total_length = 0
    first_trigger = None
    
    for i, sentence in enumerate(long_sentences):
        buffer.append(sentence)
        total_length = sum(len(s) for s in buffer)
        
        # 模拟首次播放逻辑
        trigger_reason = None
        if total_length >= 40 and len(buffer) >= 2:
            trigger_reason = f"总长度{total_length}字符，{len(buffer)}个句子"
        elif len(sentence) >= 25 and sentence.endswith(('。', '！', '？', '.', '!', '?')) and len(buffer) >= 2:
            trigger_reason = f"长句子{len(sentence)}字符+缓冲内容"
        
        if trigger_reason and first_trigger is None:
            first_trigger = i + 1
            print(f"   🎵 第{first_trigger}句触发TTS: {trigger_reason}")
            print(f"   📝 发送内容: '{''.join(buffer)}'")
            break
        else:
            print(f"   ⏳ 第{i+1}句: '{sentence}' (累计: {total_length}字符, {len(buffer)}个句子)")
    
    if first_trigger is None:
        print("   ⚠️  未触发TTS（需要超时机制）")
    print()
    
    # 测试场景4: 超长单句
    print("📝 测试场景4: 超长单句")
    ultra_long_sentence = "根据我的分析，这个问题的解决方案需要综合考虑多个因素，包括时间成本、资源投入以及最终的实施效果。"
    
    buffer = ["你好"]
    buffer.append(ultra_long_sentence)
    total_length = sum(len(s) for s in buffer)
    
    if total_length >= 40 and len(buffer) >= 2:
        print(f"   🎵 第2句触发TTS: 总长度{total_length}字符，{len(buffer)}个句子")
        print(f"   📝 发送内容: '{''.join(buffer)[:50]}...'")
    else:
        print("   ⚠️  未触发TTS")
    print()

def show_optimization_comparison():
    """显示优化对比"""
    print("📈 首次播放逻辑优化对比")
    print("=" * 50)
    
    comparison = {
        "优化前": {
            "触发条件": "任何完整句子或长句子",
            "最小长度": "无明确要求",
            "积攒机制": "基本没有",
            "可能导致": "播放卡顿，等待数据",
        },
        "优化后": {
            "触发条件": "40+字符且2+句子 或 25+字符完整句+缓冲",
            "最小长度": "总长度40字符或单句25字符",
            "积攒机制": "智能积累多个句子",
            "超时保护": "5秒超时机制",
            "效果": "确保有足够数据才开始播放"
        }
    }
    
    for aspect, details in comparison.items():
        print(f"\n🔧 {aspect}:")
        for key, value in details.items():
            print(f"   • {key}: {value}")
    
    print(f"\n🎯 核心改进: 确保首次播放有足够的内容，避免因为数据不足导致的播放卡顿")

if __name__ == "__main__":
    if len(sys.argv) > 1 and sys.argv[1] == "--comparison":
        show_optimization_comparison()
    else:
        test_first_playback_logic()
        show_optimization_comparison()