173 lines
6.5 KiB
Python
173 lines
6.5 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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音频播放优化测试脚本
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用于验证缓冲区优化和播放性能改进
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"""
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import time
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import json
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import os
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import sys
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def test_optimization():
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"""测试优化效果"""
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print("🧪 音频播放优化测试")
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print("=" * 50)
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# 显示优化后的配置参数
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print("📋 优化后的配置参数:")
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print(" - 预加载缓冲区: 6个音频块（原:3个）")
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print(" - 智能句子缓冲: 最多5个句子（原:3个）")
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print(" - 最小触发句子: 2个句子（原:1个）")
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print(" - 积累时间窗口: 150ms（原:200ms）")
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print(" - TTS任务队列: 20个任务（原:10个）")
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print(" - 音频块大小: 1024字节（原:2048字节）")
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print(" - 播放冷却期: 0.05秒（原:0.1秒）")
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print(" - 长句子触发阈值: 30字符（原:50字符）")
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print(" - 播放缓冲区维护: 4个块（原:3个）")
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print()
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# 测试智能句子缓冲逻辑
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print("🧠 测试智能句子缓冲逻辑:")
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print(" 🔄 首次播放逻辑测试:")
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test_sentences = [
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"你好", # 短句子
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"今天天气怎么样？", # 中等长度
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"我觉得这个方案很不错，我们可以试试看。", # 长句子
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"这是一个超过三十个字符的句子，应该会立即触发TTS生成。", # 超过30字符
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"短句。", # 带标点的短句
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]
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# 模拟首次播放的缓冲区状态
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tts_buffer = []
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first_playback_started = False
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total_buffered_text = ""
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trigger_count = 0
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for i, sentence in enumerate(test_sentences):
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tts_buffer.append(sentence)
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total_buffered_text = ''.join(tts_buffer)
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# 首次播放逻辑
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if not first_playback_started:
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should_trigger = False
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trigger_reason = ""
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# 条件1: 总文本长度超过40字符且至少有2个句子
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if len(total_buffered_text) >= 40 and len(tts_buffer) >= 2:
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should_trigger = True
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trigger_reason = f"总长度{len(total_buffered_text)}字符，{len(tts_buffer)}个句子"
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# 条件2: 有1个完整长句子（超过25字符）
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elif len(sentence) >= 25 and sentence.endswith(('。', '！', '？', '.', '!', '?')) and len(tts_buffer) >= 2:
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should_trigger = True
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trigger_reason = f"长句子{len(sentence)}字符+缓冲内容"
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# 条件3: 缓冲区达到最大值(5个)
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elif len(tts_buffer) >= 5:
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should_trigger = True
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trigger_reason = f"缓冲区达到最大值{len(tts_buffer)}"
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# 条件4: 超过500ms（模拟）
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if should_trigger:
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trigger_count += 1
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first_playback_started = True
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print(f" 🎵 首次触发TTS: {trigger_reason}")
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print(f" 📝 发送内容: '{total_buffered_text[:50]}...'")
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tts_buffer = []
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else:
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print(f" ⏳ 首次缓冲: '{sentence}' (累计: {len(total_buffered_text)}字符, {len(tts_buffer)}个句子)")
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else:
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# 正常播放逻辑
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if len(sentence) > 30 or len(tts_buffer) >= 3:
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should_trigger = True
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trigger_reason = "长句子" if len(sentence) > 30 else "缓冲区满"
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if should_trigger:
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trigger_count += 1
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print(f" ✅ 正常触发TTS: {trigger_reason}")
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print(f" 📝 发送内容: '{''.join(tts_buffer)[:30]}...'")
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tts_buffer = []
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else:
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print(f" ⏳ 正常缓冲: '{sentence}'")
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print(f" 📊 总触发次数: {trigger_count}")
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print()
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print(" 📋 首次播放优化效果:")
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print(" • 确保首句有足够长度（40+字符或25+字符完整句）")
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print(" • 积累多个句子避免播放卡顿")
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print(" • 5秒超时机制防止无限等待")
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print(" • 后续句子正常流式处理")
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print()
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# 显示性能监控信息
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print("📊 性能监控功能:")
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print(" - 实时缓冲区大小统计")
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print(" - 平均和最大缓冲区大小")
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print(" - 播放块数和音频大小统计")
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print(" - 每5秒自动输出性能报告")
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print()
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print("🎯 预期改进效果:")
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print(" 1. ✅ 减少音频播放卡顿（更大的缓冲区）")
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print(" 2. ✅ 更快的TTS响应（优化的触发条件）")
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print(" 3. ✅ 更流畅的播放体验（减少冷却期）")
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print(" 4. ✅ 更好的资源利用（更小的音频块）")
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print(" 5. ✅ 实时性能监控（调试和优化）")
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print()
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print("📝 测试建议:")
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print(" 1. 运行主程序观察播放流畅度")
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print(" 2. 查看性能统计输出")
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print(" 3. 监控缓冲区大小变化")
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print(" 4. 测试不同长度的语音响应")
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print()
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print("🚀 测试完成！可以运行主程序验证优化效果。")
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def show_optimization_summary():
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"""显示优化总结"""
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print("📈 音频播放优化总结")
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print("=" * 50)
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summary = {
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"缓冲区优化": [
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"预加载缓冲区: 3→6个块",
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"智能句子缓冲: 3→5个句子",
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"最小触发缓冲: 1→2个句子",
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"TTS任务队列: 10→20个任务"
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],
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"响应性优化": [
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"积累时间窗口: 200ms→150ms",
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"长句子触发: 50→30字符",
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"中等长度触发: 30→20字符",
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"播放冷却期: 0.1s→0.05s"
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],
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"播放优化": [
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"音频块大小: 2048→1024字节",
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"播放缓冲维护: 3→4个块",
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"数据转移: 2→3个块/次"
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],
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"监控功能": [
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"实时性能统计",
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"缓冲区大小监控",
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"自动性能报告",
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"播放进度追踪"
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]
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}
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for category, improvements in summary.items():
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print(f"\n🔧 {category}:")
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for improvement in improvements:
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print(f" • {improvement}")
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print(f"\n🎯 总体目标: 减少音频播放卡顿，提升用户体验")
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print(f"📊 预期效果: 更流畅的实时语音交互")
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if __name__ == "__main__":
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if len(sys.argv) > 1 and sys.argv[1] == "--summary":
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show_optimization_summary()
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else:
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test_optimization() |