"""Tests for the provider-agnostic streaming TTS backend (tools.tts_streaming) and its dispatch through tools.tts_tool.stream_tts_to_speaker. No live audio or network: the ElevenLabs/OpenAI SDKs, sounddevice, and the sync synth path are all mocked. Covers the registry/resolver, provider availability, the chunked-streamer playback path, and the universal per-sentence sync fallback. """ import queue import threading from unittest.mock import MagicMock, patch import pytest import tools.tts_streaming as ts pytest.importorskip("numpy") # ── SentenceChunker ────────────────────────────────────────────────────── class TestSentenceChunker: def test_cuts_sentence_the_moment_its_boundary_arrives(self): c = ts.SentenceChunker() assert c.feed("This is the first full") == [] assert c.feed(" sentence of it all. And") == ["This is the first full sentence of it all. "] assert c.flush() == ["And"] def test_think_blocks_are_stripped_even_across_deltas(self): c = ts.SentenceChunker() assert c.feed("secret reason") == [] assert c.feed("ingThe actual spoken answer. ") == ["The actual spoken answer. "] def test_paragraph_break_is_a_boundary(self): c = ts.SentenceChunker() assert c.feed("A paragraph without punctuation\n\nnext one") == [ "A paragraph without punctuation\n\n" ] # ── Interruption latch ─────────────────────────────────────────────────── class TestSpeechInterruptedLatch: def test_take_pops_and_reports_recent_barge(self): ts.mark_speech_interrupted() assert ts.take_speech_interrupted() is True assert ts.take_speech_interrupted() is False # one-shot def test_stale_barge_expires(self, monkeypatch): ts.mark_speech_interrupted() at = ts._interrupted_at monkeypatch.setattr(ts.time, "monotonic", lambda: at + ts._INTERRUPT_TTL_S + 1) assert ts.take_speech_interrupted() is False # ── Registry + resolver ────────────────────────────────────────────────── def _register_fake(monkeypatch, name, available=True, chunks=(b"\x00\x00",)): class _Fake(ts.StreamingTTSProvider): sample_rate = 24000 @staticmethod def available(): return available def stream(self, text): yield from chunks monkeypatch.setitem(ts._REGISTRY, name, _Fake) return _Fake def test_resolve_returns_configured_streamer(monkeypatch): _register_fake(monkeypatch, "faketts") prov = ts.resolve_streaming_provider({"provider": "faketts"}) assert isinstance(prov, ts.StreamingTTSProvider) def test_never_swaps_provider_for_streaming(monkeypatch): # A registered streamer must NOT be substituted when the user picked another # (non-streaming) provider — that would silently change their voice. _register_fake(monkeypatch, "elevenlabs") assert ts.resolve_streaming_provider({"provider": "edge"}) is None # ── Built-in provider availability ─────────────────────────────────────── def test_elevenlabs_available_reflects_key(monkeypatch): # Key lookups now route through the provider-secret resolver # (config > env/.env > credential pool), not bare get_env_value. monkeypatch.setattr(ts, "_resolve_key", lambda env, pid: "key" if env == "ELEVENLABS_API_KEY" else "") assert ts.ElevenLabsStreamer.available() is True monkeypatch.setattr(ts, "_resolve_key", lambda env, pid: "") assert ts.ElevenLabsStreamer.available() is False def test_openai_available_reflects_audio_key_resolution(monkeypatch): monkeypatch.setattr(ts, "_openai_config_api_key", lambda: "") monkeypatch.setattr(ts, "resolve_openai_audio_api_key", lambda: "voice-key") assert ts.OpenAIStreamer.available() is True monkeypatch.setattr(ts, "resolve_openai_audio_api_key", lambda: "") assert ts.OpenAIStreamer.available() is False # tts.openai.api_key from config.yaml counts too monkeypatch.setattr(ts, "_openai_config_api_key", lambda: "cfg-key") assert ts.OpenAIStreamer.available() is True def test_openai_streamer_prefers_configured_api_key(monkeypatch): captured = {} class _Response: def __enter__(self): return self def __exit__(self, *_args): return False def iter_bytes(self): yield b"\x01\x00" class _StreamingCreate: @staticmethod def create(**kwargs): return _Response() class _OpenAI: def __init__(self, **kwargs): captured["client"] = kwargs self.audio = MagicMock() self.audio.speech.with_streaming_response = _StreamingCreate() monkeypatch.setattr(ts, "resolve_openai_audio_api_key", lambda: "env-key") monkeypatch.setattr(ts, "get_env_value", lambda key, *args: None) monkeypatch.setattr("openai.OpenAI", _OpenAI) config = { "provider": "openai", "openai": {"api_key": "cfg-key", "base_url": "http://local-tts.example/v1"}, } streamer = ts.resolve_streaming_provider(config) assert streamer is not None assert list(streamer.stream("Streaming test.")) == [b"\x01\x00"] assert captured["client"]["api_key"] == "cfg-key" # ── Dispatch: chunked streamer path ────────────────────────────────────── def _drain_queue(sentences): q = queue.Queue() for s in sentences: q.put(s) q.put(None) return q def _sd_mock(): sd = MagicMock() out = MagicMock() sd.OutputStream.return_value = out return sd, out # ── Dispatch: universal per-sentence sync fallback ─────────────────────── # ── tts.streaming.provider config knob (salvaged from PR #47588) ───────── # ── Credential routing: resolve_provider_secret, never bare env ────────── def test_elevenlabs_available_routes_through_secret_resolver(monkeypatch): calls = [] def _fake_resolve(env_var, provider_id): calls.append((env_var, provider_id)) return "pool-key" monkeypatch.setattr(ts, "_resolve_key", _fake_resolve) assert ts.ElevenLabsStreamer.available() is True assert ("ELEVENLABS_API_KEY", "elevenlabs") in calls def test_xai_available_uses_oauth_credential_resolver(monkeypatch): import sys import types fake = types.ModuleType("tools.xai_http") fake.resolve_xai_http_credentials = lambda: {"api_key": "xai-key"} monkeypatch.setitem(sys.modules, "tools.xai_http", fake) assert ts.XAIStreamer.available() is True fake.resolve_xai_http_credentials = lambda: {"api_key": ""} assert ts.XAIStreamer.available() is False # ── Gemini SSE parsing ──────────────────────────────────────────────────── # ── xAI WebSocket bridge ───────────────────────────────────────────────── # ── 16 MiB per-sentence stream cap ─────────────────────────────────────── def test_stream_cap_truncates_runaway_upstream(monkeypatch): monkeypatch.setattr(ts, "_STREAM_SENTENCE_BYTE_CAP", 100) def _endless(): while True: yield b"\x00" * 64 out = list(ts._capped(_endless(), "test")) assert len(out) == 1 # 64 ok, 128 > cap → stop assert sum(len(c) for c in out) <= 100