feat: Batch 5-9 — GrowthIntegration桥接、验证补全、死代码清理、Pipeline模板、Speech/Twitter真实实现
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Batch 5 (P0): GrowthIntegration 接入 Tauri
- Kernel 新增 set_viking()/set_extraction_driver() 桥接 SqliteStorage
- 中间件链共享存储,MemoryExtractor 接入 LLM 驱动

Batch 6 (P1): 输入验证 + Heartbeat
- Relay 验证补全(stream 兼容检查、API key 格式校验)
- UUID 类型校验、SessionId 错误返回
- Heartbeat 默认开启 + 首次聊天自动初始化

Batch 7 (P2): 死代码清理
- zclaw-channels 整体移除(317 行)
- multi-agent 特性门控、admin 方法标注

Batch 8 (P2): Pipeline 模板
- PipelineMetadata 新增 annotations 字段
- pipeline_templates 命令 + 2 个示例模板
- fallback driver base_url 修复(doubao/qwen/deepseek 端点)

Batch 9 (P1): SpeechHand/TwitterHand 真实实现
- SpeechHand: tts_method 字段 + Browser TTS 前端集成 (Web Speech API)
- TwitterHand: 12 个 action 全部替换为 Twitter API v2 真实 HTTP 调用
- chatStore/useAutomationEvents 双路径 TTS 触发
This commit is contained in:
iven
2026-03-30 09:24:50 +08:00
parent 5595083b96
commit 13c0b18bbc
39 changed files with 1155 additions and 507 deletions

View File

@@ -233,17 +233,32 @@ impl SpeechHand {
state.playback = PlaybackState::Playing;
state.current_text = Some(text.clone());
// In real implementation, would call TTS API
// Determine TTS method based on provider:
// - Browser: frontend uses Web Speech API (zero deps, works offline)
// - OpenAI: frontend calls speech_tts command (high-quality, needs API key)
// - Others: future support
let tts_method = match state.config.provider {
TtsProvider::Browser => "browser",
TtsProvider::OpenAI => "openai_api",
TtsProvider::Azure => "azure_api",
TtsProvider::ElevenLabs => "elevenlabs_api",
TtsProvider::Local => "local_engine",
};
let estimated_duration_ms = (text.chars().count() as f64 / 5.0 * 1000.0) as u64;
Ok(HandResult::success(serde_json::json!({
"status": "speaking",
"tts_method": tts_method,
"text": text,
"voice": voice_id,
"language": lang,
"rate": actual_rate,
"pitch": actual_pitch,
"volume": actual_volume,
"provider": state.config.provider,
"duration_ms": text.len() as u64 * 80, // Rough estimate
"provider": format!("{:?}", state.config.provider).to_lowercase(),
"duration_ms": estimated_duration_ms,
"instruction": "Frontend should play this via TTS engine"
})))
}
SpeechAction::SpeakSsml { ssml, voice } => {