224 lines
7.9 KiB
Python
224 lines
7.9 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_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_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_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_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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# Key lookups now route through the provider-secret resolver
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# (config > env/.env > credential pool), not bare get_env_value.
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monkeypatch.setattr(ts, "_resolve_key", lambda env, pid: "key" if env == "ELEVENLABS_API_KEY" else "")
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assert ts.ElevenLabsStreamer.available() is True
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monkeypatch.setattr(ts, "_resolve_key", lambda env, pid: "")
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assert ts.ElevenLabsStreamer.available() is False
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def test_openai_available_reflects_audio_key_resolution(monkeypatch):
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monkeypatch.setattr(ts, "_openai_config_api_key", lambda: "")
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monkeypatch.setattr(ts, "resolve_openai_audio_api_key", lambda: "voice-key")
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assert ts.OpenAIStreamer.available() is True
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monkeypatch.setattr(ts, "resolve_openai_audio_api_key", lambda: "")
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assert ts.OpenAIStreamer.available() is False
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# tts.openai.api_key from config.yaml counts too
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monkeypatch.setattr(ts, "_openai_config_api_key", lambda: "cfg-key")
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assert ts.OpenAIStreamer.available() is True
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def test_openai_streamer_prefers_configured_api_key(monkeypatch):
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captured = {}
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class _Response:
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def __enter__(self):
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return self
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def __exit__(self, *_args):
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return False
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def iter_bytes(self):
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yield b"\x01\x00"
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class _StreamingCreate:
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@staticmethod
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def create(**kwargs):
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return _Response()
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class _OpenAI:
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def __init__(self, **kwargs):
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captured["client"] = kwargs
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self.audio = MagicMock()
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self.audio.speech.with_streaming_response = _StreamingCreate()
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monkeypatch.setattr(ts, "resolve_openai_audio_api_key", lambda: "env-key")
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monkeypatch.setattr(ts, "get_env_value", lambda key, *args: None)
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monkeypatch.setattr("openai.OpenAI", _OpenAI)
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config = {
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"provider": "openai",
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"openai": {"api_key": "cfg-key", "base_url": "http://local-tts.example/v1"},
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}
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streamer = ts.resolve_streaming_provider(config)
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assert streamer is not None
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assert list(streamer.stream("Streaming test.")) == [b"\x01\x00"]
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assert captured["client"]["api_key"] == "cfg-key"
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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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# ── Dispatch: universal per-sentence sync fallback ───────────────────────
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# ── tts.streaming.provider config knob (salvaged from PR #47588) ─────────
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# ── Credential routing: resolve_provider_secret, never bare env ──────────
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def test_elevenlabs_available_routes_through_secret_resolver(monkeypatch):
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calls = []
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def _fake_resolve(env_var, provider_id):
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calls.append((env_var, provider_id))
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return "pool-key"
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monkeypatch.setattr(ts, "_resolve_key", _fake_resolve)
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assert ts.ElevenLabsStreamer.available() is True
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assert ("ELEVENLABS_API_KEY", "elevenlabs") in calls
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def test_xai_available_uses_oauth_credential_resolver(monkeypatch):
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import sys
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import types
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fake = types.ModuleType("tools.xai_http")
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fake.resolve_xai_http_credentials = lambda: {"api_key": "xai-key"}
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monkeypatch.setitem(sys.modules, "tools.xai_http", fake)
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assert ts.XAIStreamer.available() is True
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fake.resolve_xai_http_credentials = lambda: {"api_key": ""}
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assert ts.XAIStreamer.available() is False
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# ── Gemini SSE parsing ────────────────────────────────────────────────────
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# ── xAI WebSocket bridge ─────────────────────────────────────────────────
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# ── 16 MiB per-sentence stream cap ───────────────────────────────────────
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def test_stream_cap_truncates_runaway_upstream(monkeypatch):
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monkeypatch.setattr(ts, "_STREAM_SENTENCE_BYTE_CAP", 100)
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def _endless():
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while True:
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yield b"\x00" * 64
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out = list(ts._capped(_endless(), "test"))
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assert len(out) == 1 # 64 ok, 128 > cap → stop
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assert sum(len(c) for c in out) <= 100
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