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mark_speech_interrupted() / take_speech_interrupted(): a one-shot, TTL'd (120s) latch plus SPEECH_INTERRUPTED_NOTE. Barge-in paths mark it when they cut live speech; the next turn's submit path pops it and prepends the note to the model-bound message — API-call local, never persisted, so history and prompt caching are untouched.
248 lines
8.8 KiB
Python
248 lines
8.8 KiB
Python
"""Tests for the provider-agnostic streaming TTS backend (tools.tts_streaming)
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and its dispatch through tools.tts_tool.stream_tts_to_speaker.
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No live audio or network: the ElevenLabs/OpenAI SDKs, sounddevice, and the sync
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synth path are all mocked. Covers the registry/resolver, provider availability,
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the chunked-streamer playback path, and the universal per-sentence sync fallback.
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"""
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import queue
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import threading
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from unittest.mock import MagicMock, patch
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import pytest
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import tools.tts_streaming as ts
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pytest.importorskip("numpy")
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# ── SentenceChunker ──────────────────────────────────────────────────────
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class TestSentenceChunker:
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def test_cuts_sentence_the_moment_its_boundary_arrives(self):
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c = ts.SentenceChunker()
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assert c.feed("This is the first full") == []
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assert c.feed(" sentence of it all. And") == ["This is the first full sentence of it all. "]
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assert c.flush() == ["And"]
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def test_short_fragment_rides_with_the_next_sentence(self):
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c = ts.SentenceChunker()
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# "Ha! " alone is under min_len — it must not become its own clip.
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assert c.feed("Ha! ") == []
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assert c.feed("That was a good one, honestly. ") == [
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"Ha! That was a good one, honestly. "
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]
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def test_think_blocks_are_stripped_even_across_deltas(self):
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c = ts.SentenceChunker()
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assert c.feed("<think>secret reason") == []
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assert c.feed("ing</think>The actual spoken answer. ") == ["The actual spoken answer. "]
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def test_flush_drains_the_tail(self):
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c = ts.SentenceChunker()
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c.feed("no boundary here")
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assert c.flush() == ["no boundary here"]
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assert c.flush() == []
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def test_paragraph_break_is_a_boundary(self):
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c = ts.SentenceChunker()
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assert c.feed("A paragraph without punctuation\n\nnext one") == [
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"A paragraph without punctuation\n\n"
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]
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# ── Interruption latch ───────────────────────────────────────────────────
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class TestSpeechInterruptedLatch:
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def test_take_pops_and_reports_recent_barge(self):
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ts.mark_speech_interrupted()
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assert ts.take_speech_interrupted() is True
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assert ts.take_speech_interrupted() is False # one-shot
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def test_untouched_latch_is_false(self):
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ts._interrupted_at = None
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assert ts.take_speech_interrupted() is False
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def test_stale_barge_expires(self, monkeypatch):
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ts.mark_speech_interrupted()
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at = ts._interrupted_at
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monkeypatch.setattr(ts.time, "monotonic", lambda: at + ts._INTERRUPT_TTL_S + 1)
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assert ts.take_speech_interrupted() is False
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# ── Registry + resolver ──────────────────────────────────────────────────
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def _register_fake(monkeypatch, name, available=True, chunks=(b"\x00\x00",)):
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class _Fake(ts.StreamingTTSProvider):
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sample_rate = 24000
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@staticmethod
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def available():
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return available
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def stream(self, text):
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yield from chunks
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monkeypatch.setitem(ts._REGISTRY, name, _Fake)
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return _Fake
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def test_resolve_returns_configured_streamer(monkeypatch):
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_register_fake(monkeypatch, "faketts")
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prov = ts.resolve_streaming_provider({"provider": "faketts"})
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assert isinstance(prov, ts.StreamingTTSProvider)
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def test_resolve_none_for_unregistered_provider(monkeypatch):
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# edge is a sync provider — not registered — so the dispatcher keeps its voice.
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assert ts.resolve_streaming_provider({"provider": "edge"}) is None
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def test_resolve_none_when_provider_unavailable(monkeypatch):
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_register_fake(monkeypatch, "faketts", available=False)
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assert ts.resolve_streaming_provider({"provider": "faketts"}) is None
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def test_resolve_honors_preferred_override(monkeypatch):
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_register_fake(monkeypatch, "faketts")
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prov = ts.resolve_streaming_provider({"provider": "edge"}, preferred="faketts")
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assert isinstance(prov, ts.StreamingTTSProvider)
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def test_never_swaps_provider_for_streaming(monkeypatch):
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# A registered streamer must NOT be substituted when the user picked another
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# (non-streaming) provider — that would silently change their voice.
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_register_fake(monkeypatch, "elevenlabs")
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assert ts.resolve_streaming_provider({"provider": "edge"}) is None
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# ── Built-in provider availability ───────────────────────────────────────
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def test_elevenlabs_available_reflects_key(monkeypatch):
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monkeypatch.setattr(ts, "get_env_value", lambda k, *a: "key" if k == "ELEVENLABS_API_KEY" else None)
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assert ts.ElevenLabsStreamer.available() is True
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monkeypatch.setattr(ts, "get_env_value", lambda k, *a: None)
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assert ts.ElevenLabsStreamer.available() is False
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def test_openai_available_reflects_key(monkeypatch):
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monkeypatch.setattr(ts, "get_env_value", lambda k, *a: "key" if k == "OPENAI_API_KEY" else None)
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assert ts.OpenAIStreamer.available() is True
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# ── Dispatch: chunked streamer path ──────────────────────────────────────
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def _drain_queue(sentences):
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q = queue.Queue()
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for s in sentences:
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q.put(s)
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q.put(None)
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return q
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def _sd_mock():
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sd = MagicMock()
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out = MagicMock()
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sd.OutputStream.return_value = out
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return sd, out
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def test_streamer_path_writes_pcm_to_output(monkeypatch):
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from tools import tts_tool
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class _Fake(ts.StreamingTTSProvider):
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sample_rate = 24000
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@staticmethod
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def available():
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return True
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def stream(self, text):
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yield b"\x01\x00" * 50
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yield b"\x02\x00" * 50
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sd, out = _sd_mock()
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q = _drain_queue(["Hello there, this is a full sentence."])
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stop, done = threading.Event(), threading.Event()
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with patch("tools.tts_streaming.resolve_streaming_provider", return_value=_Fake({}, {})), \
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patch.object(tts_tool, "_import_sounddevice", return_value=sd):
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tts_tool.stream_tts_to_speaker(q, stop, done)
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assert out.write.called, "expected PCM chunks written to the output stream"
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assert done.is_set()
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def test_stop_event_aborts_streaming(monkeypatch):
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from tools import tts_tool
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class _Fake(ts.StreamingTTSProvider):
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sample_rate = 24000
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@staticmethod
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def available():
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return True
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def stream(self, text):
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for _ in range(1000):
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yield b"\x00\x00" * 50
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sd, out = _sd_mock()
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stop, done = threading.Event(), threading.Event()
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stop.set() # pre-set: no audio should be written
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q = _drain_queue(["A complete sentence here."])
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with patch("tools.tts_streaming.resolve_streaming_provider", return_value=_Fake({}, {})), \
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patch.object(tts_tool, "_import_sounddevice", return_value=sd):
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tts_tool.stream_tts_to_speaker(q, stop, done)
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assert not out.write.called
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assert done.is_set()
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# ── Dispatch: universal per-sentence sync fallback ───────────────────────
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def test_sync_fallback_speaks_each_sentence(monkeypatch):
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from tools import tts_tool
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spoken = []
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monkeypatch.setattr(tts_tool, "text_to_speech_tool",
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lambda text, output_path: spoken.append(text))
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played = []
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fake_vm = MagicMock()
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fake_vm.play_audio_file.side_effect = lambda p: played.append(p)
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monkeypatch.setitem(__import__("sys").modules, "tools.voice_mode", fake_vm)
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monkeypatch.setattr("os.path.getsize", lambda p: 100)
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monkeypatch.setattr("os.path.isfile", lambda p: True)
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q = _drain_queue(["First full sentence here. ", "Second full sentence here. "])
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stop, done = threading.Event(), threading.Event()
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with patch("tools.tts_streaming.resolve_streaming_provider", return_value=None):
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tts_tool.stream_tts_to_speaker(q, stop, done)
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assert len(spoken) == 2, f"expected both sentences synthesized, got {spoken}"
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assert len(played) == 2
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assert done.is_set()
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def test_display_callback_fires_without_audio(monkeypatch):
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from tools import tts_tool
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seen = []
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monkeypatch.setattr(tts_tool, "text_to_speech_tool", lambda text, output_path: None)
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q = _drain_queue(["A sentence to display aloud."])
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stop, done = threading.Event(), threading.Event()
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with patch("tools.tts_streaming.resolve_streaming_provider", return_value=None):
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tts_tool.stream_tts_to_speaker(q, stop, done, display_callback=seen.append)
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assert seen, "display_callback should fire even on the sync path"
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assert done.is_set()
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