feat(dashboard): 4-way roster (user/bot/voice/role), persistence, TTS all-emotions, layout
- 유저 등록/관리 search now has 4 types: 유저(non-bot members), 봇(bot members), 통화방(current voice-channel members, bot flag enriched), 역할(roles — expandable to the members under each role; register the role OR a member under it). - Persist settings to a JSON state store (WSAI_STATE_FILE, default ~/.config/wsai/state.json) so they survive a service/container restart: per-guild listen lists + bargeIn (BotControl), TTS base/overrides and the chosen STT/LLM models (Dashboard). Applied on voice-server startup before warm. - TTS 감정 선택에 최상단 "전체변경 (모든 감정)" 추가: 적용하면 base를 그 값으로 세팅하고 모든 per-emotion override를 지워 전 감정이 한 번에 그 값으로 말합니다. - Move the component status bar (눈/시각/귀/LLM/입) above the bot bar. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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@@ -37,7 +37,7 @@ def test_monitor_records_turn_with_timed_steps():
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assert turn["total_ms"] >= 0
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# step-by-step: every stage is named and timed
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names = [s["name"] for s in turn["steps"]]
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assert names == ["화면 맥락", "두뇌(생각)", "응답(TTS/전송)"]
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assert names == ["화면 맥락", "LLM(생각)", "응답(TTS/전송)"]
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assert all(s["ok"] is True for s in turn["steps"])
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assert all(s["ms"] >= 0 for s in turn["steps"])
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@@ -66,7 +66,7 @@ def test_monitor_marks_errors():
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turn = snap["turns"][0]
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assert turn["status"] == "error"
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brain_step = next(s for s in turn["steps"] if s["name"] == "두뇌(생각)")
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brain_step = next(s for s in turn["steps"] if s["name"] == "LLM(생각)")
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assert brain_step["ok"] is False
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assert "boom" in brain_step["error"]
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assert snap["status"]["errors_total"] >= 1
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