35748a2fb0
Remove web UI gateway (web.py, tests, docs, toolset, env vars, Platform.WEB enum) per maintainer request — Nous is building their own official chat UI. Fix 1: Replace sd.wait() with polling pattern in play_audio_file() to prevent indefinite hang when audio device stalls (consistent with play_beep()). Fix 2: Use importlib.util.find_spec() for faster_whisper/openai availability checks instead of module-level imports that trigger heavy native library loading (CUDA/cuDNN) at import time. Fix 3: Remove inspect.signature() hack in _send_voice_reply() — add **kwargs to Telegram send_voice() so all adapters accept metadata uniformly. Fix 4: Make session loading resilient to removed platform enum values — skip entries with unknown platforms instead of crashing the entire gateway.
717 lines
32 KiB
Python
717 lines
32 KiB
Python
"""Tests for tools.transcription_tools — three-provider STT pipeline.
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Covers the full provider matrix (local, groq, openai), fallback chains,
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model auto-correction, config loading, validation edge cases, and
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end-to-end dispatch. All external dependencies are mocked.
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"""
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import os
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import struct
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import wave
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from unittest.mock import MagicMock, patch
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import pytest
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# ============================================================================
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# Fixtures
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# ============================================================================
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@pytest.fixture
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def sample_wav(tmp_path):
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"""Create a minimal valid WAV file (1 second of silence at 16kHz)."""
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wav_path = tmp_path / "test.wav"
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n_frames = 16000
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silence = struct.pack(f"<{n_frames}h", *([0] * n_frames))
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with wave.open(str(wav_path), "wb") as wf:
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wf.setnchannels(1)
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wf.setsampwidth(2)
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wf.setframerate(16000)
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wf.writeframes(silence)
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return str(wav_path)
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@pytest.fixture
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def sample_ogg(tmp_path):
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"""Create a fake OGG file for validation tests."""
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ogg_path = tmp_path / "test.ogg"
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ogg_path.write_bytes(b"fake audio data")
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return str(ogg_path)
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@pytest.fixture(autouse=True)
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def clean_env(monkeypatch):
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"""Ensure no real API keys leak into tests."""
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monkeypatch.delenv("VOICE_TOOLS_OPENAI_KEY", raising=False)
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monkeypatch.delenv("GROQ_API_KEY", raising=False)
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# ============================================================================
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# _get_provider — full permutation matrix
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# ============================================================================
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class TestGetProviderGroq:
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"""Groq-specific provider selection tests."""
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def test_groq_when_key_set(self, monkeypatch):
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monkeypatch.setenv("GROQ_API_KEY", "gsk-test")
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("tools.transcription_tools._HAS_FASTER_WHISPER", False):
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from tools.transcription_tools import _get_provider
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assert _get_provider({"provider": "groq"}) == "groq"
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def test_groq_fallback_to_local(self, monkeypatch):
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monkeypatch.delenv("GROQ_API_KEY", raising=False)
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with patch("tools.transcription_tools._HAS_FASTER_WHISPER", True):
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from tools.transcription_tools import _get_provider
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assert _get_provider({"provider": "groq"}) == "local"
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def test_groq_fallback_to_openai(self, monkeypatch):
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monkeypatch.delenv("GROQ_API_KEY", raising=False)
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monkeypatch.setenv("VOICE_TOOLS_OPENAI_KEY", "sk-test")
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with patch("tools.transcription_tools._HAS_FASTER_WHISPER", False), \
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patch("tools.transcription_tools._HAS_OPENAI", True):
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from tools.transcription_tools import _get_provider
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assert _get_provider({"provider": "groq"}) == "openai"
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def test_groq_nothing_available(self, monkeypatch):
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monkeypatch.delenv("GROQ_API_KEY", raising=False)
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monkeypatch.delenv("VOICE_TOOLS_OPENAI_KEY", raising=False)
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with patch("tools.transcription_tools._HAS_FASTER_WHISPER", False), \
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patch("tools.transcription_tools._HAS_OPENAI", False):
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from tools.transcription_tools import _get_provider
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assert _get_provider({"provider": "groq"}) == "none"
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class TestGetProviderFallbackPriority:
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"""Cross-provider fallback priority tests."""
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def test_local_fallback_prefers_groq_over_openai(self, monkeypatch):
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"""When local unavailable, groq (free) is preferred over openai (paid)."""
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monkeypatch.setenv("GROQ_API_KEY", "gsk-test")
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monkeypatch.setenv("VOICE_TOOLS_OPENAI_KEY", "sk-test")
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with patch("tools.transcription_tools._HAS_FASTER_WHISPER", False), \
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patch("tools.transcription_tools._HAS_OPENAI", True):
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from tools.transcription_tools import _get_provider
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assert _get_provider({"provider": "local"}) == "groq"
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def test_local_fallback_to_groq_only(self, monkeypatch):
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"""When only groq key available, falls back to groq."""
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monkeypatch.setenv("GROQ_API_KEY", "gsk-test")
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with patch("tools.transcription_tools._HAS_FASTER_WHISPER", False), \
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patch("tools.transcription_tools._HAS_OPENAI", True):
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from tools.transcription_tools import _get_provider
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assert _get_provider({"provider": "local"}) == "groq"
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def test_openai_fallback_to_groq(self, monkeypatch):
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"""When openai key missing but groq available, falls back to groq."""
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monkeypatch.delenv("VOICE_TOOLS_OPENAI_KEY", raising=False)
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monkeypatch.setenv("GROQ_API_KEY", "gsk-test")
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with patch("tools.transcription_tools._HAS_FASTER_WHISPER", False), \
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patch("tools.transcription_tools._HAS_OPENAI", True):
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from tools.transcription_tools import _get_provider
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assert _get_provider({"provider": "openai"}) == "groq"
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def test_openai_nothing_available(self, monkeypatch):
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"""When no openai key and no local, returns none."""
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monkeypatch.delenv("VOICE_TOOLS_OPENAI_KEY", raising=False)
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monkeypatch.delenv("GROQ_API_KEY", raising=False)
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with patch("tools.transcription_tools._HAS_FASTER_WHISPER", False), \
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patch("tools.transcription_tools._HAS_OPENAI", True):
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from tools.transcription_tools import _get_provider
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assert _get_provider({"provider": "openai"}) == "none"
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def test_unknown_provider_passed_through(self):
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from tools.transcription_tools import _get_provider
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assert _get_provider({"provider": "custom-endpoint"}) == "custom-endpoint"
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def test_empty_config_defaults_to_local(self):
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with patch("tools.transcription_tools._HAS_FASTER_WHISPER", True):
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from tools.transcription_tools import _get_provider
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assert _get_provider({}) == "local"
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# ============================================================================
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# _transcribe_groq
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# ============================================================================
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class TestTranscribeGroq:
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def test_no_key(self, monkeypatch):
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monkeypatch.delenv("GROQ_API_KEY", raising=False)
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from tools.transcription_tools import _transcribe_groq
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result = _transcribe_groq("/tmp/test.ogg", "whisper-large-v3-turbo")
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assert result["success"] is False
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assert "GROQ_API_KEY" in result["error"]
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def test_openai_package_not_installed(self, monkeypatch):
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monkeypatch.setenv("GROQ_API_KEY", "gsk-test")
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with patch("tools.transcription_tools._HAS_OPENAI", False):
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from tools.transcription_tools import _transcribe_groq
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result = _transcribe_groq("/tmp/test.ogg", "whisper-large-v3-turbo")
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assert result["success"] is False
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assert "openai package" in result["error"]
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def test_successful_transcription(self, monkeypatch, sample_wav):
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monkeypatch.setenv("GROQ_API_KEY", "gsk-test")
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mock_client = MagicMock()
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mock_client.audio.transcriptions.create.return_value = "hello world"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_groq
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result = _transcribe_groq(sample_wav, "whisper-large-v3-turbo")
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assert result["success"] is True
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assert result["transcript"] == "hello world"
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assert result["provider"] == "groq"
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def test_whitespace_stripped(self, monkeypatch, sample_wav):
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monkeypatch.setenv("GROQ_API_KEY", "gsk-test")
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mock_client = MagicMock()
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mock_client.audio.transcriptions.create.return_value = " hello world \n"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_groq
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result = _transcribe_groq(sample_wav, "whisper-large-v3-turbo")
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assert result["transcript"] == "hello world"
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def test_uses_groq_base_url(self, monkeypatch, sample_wav):
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monkeypatch.setenv("GROQ_API_KEY", "gsk-test")
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mock_client = MagicMock()
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mock_client.audio.transcriptions.create.return_value = "test"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("openai.OpenAI", return_value=mock_client) as mock_openai_cls:
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from tools.transcription_tools import _transcribe_groq, GROQ_BASE_URL
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_transcribe_groq(sample_wav, "whisper-large-v3-turbo")
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call_kwargs = mock_openai_cls.call_args
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assert call_kwargs.kwargs["base_url"] == GROQ_BASE_URL
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def test_api_error_returns_failure(self, monkeypatch, sample_wav):
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monkeypatch.setenv("GROQ_API_KEY", "gsk-test")
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mock_client = MagicMock()
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mock_client.audio.transcriptions.create.side_effect = Exception("API error")
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_groq
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result = _transcribe_groq(sample_wav, "whisper-large-v3-turbo")
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assert result["success"] is False
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assert "API error" in result["error"]
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def test_permission_error(self, monkeypatch, sample_wav):
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monkeypatch.setenv("GROQ_API_KEY", "gsk-test")
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mock_client = MagicMock()
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mock_client.audio.transcriptions.create.side_effect = PermissionError("denied")
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_groq
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result = _transcribe_groq(sample_wav, "whisper-large-v3-turbo")
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assert result["success"] is False
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assert "Permission denied" in result["error"]
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# ============================================================================
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# _transcribe_openai — additional tests
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# ============================================================================
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class TestTranscribeOpenAIExtended:
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def test_openai_package_not_installed(self, monkeypatch):
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monkeypatch.setenv("VOICE_TOOLS_OPENAI_KEY", "sk-test")
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with patch("tools.transcription_tools._HAS_OPENAI", False):
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from tools.transcription_tools import _transcribe_openai
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result = _transcribe_openai("/tmp/test.ogg", "whisper-1")
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assert result["success"] is False
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assert "openai package" in result["error"]
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def test_uses_openai_base_url(self, monkeypatch, sample_wav):
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monkeypatch.setenv("VOICE_TOOLS_OPENAI_KEY", "sk-test")
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mock_client = MagicMock()
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mock_client.audio.transcriptions.create.return_value = "test"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("openai.OpenAI", return_value=mock_client) as mock_openai_cls:
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from tools.transcription_tools import _transcribe_openai, OPENAI_BASE_URL
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_transcribe_openai(sample_wav, "whisper-1")
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call_kwargs = mock_openai_cls.call_args
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assert call_kwargs.kwargs["base_url"] == OPENAI_BASE_URL
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def test_whitespace_stripped(self, monkeypatch, sample_wav):
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monkeypatch.setenv("VOICE_TOOLS_OPENAI_KEY", "sk-test")
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mock_client = MagicMock()
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mock_client.audio.transcriptions.create.return_value = " hello \n"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_openai
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result = _transcribe_openai(sample_wav, "whisper-1")
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assert result["transcript"] == "hello"
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def test_permission_error(self, monkeypatch, sample_wav):
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monkeypatch.setenv("VOICE_TOOLS_OPENAI_KEY", "sk-test")
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mock_client = MagicMock()
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mock_client.audio.transcriptions.create.side_effect = PermissionError("denied")
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_openai
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result = _transcribe_openai(sample_wav, "whisper-1")
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assert result["success"] is False
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assert "Permission denied" in result["error"]
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# ============================================================================
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# _transcribe_local — additional tests
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# ============================================================================
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class TestTranscribeLocalExtended:
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def test_model_reuse_on_second_call(self, tmp_path):
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"""Second call with same model should NOT reload the model."""
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audio = tmp_path / "test.ogg"
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audio.write_bytes(b"fake")
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mock_segment = MagicMock()
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mock_segment.text = "hi"
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mock_info = MagicMock()
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mock_info.language = "en"
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mock_info.duration = 1.0
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mock_model = MagicMock()
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mock_model.transcribe.return_value = ([mock_segment], mock_info)
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mock_whisper_cls = MagicMock(return_value=mock_model)
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with patch("tools.transcription_tools._HAS_FASTER_WHISPER", True), \
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patch("faster_whisper.WhisperModel", mock_whisper_cls), \
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patch("tools.transcription_tools._local_model", None), \
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patch("tools.transcription_tools._local_model_name", None):
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from tools.transcription_tools import _transcribe_local
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_transcribe_local(str(audio), "base")
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_transcribe_local(str(audio), "base")
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# WhisperModel should be created only once
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assert mock_whisper_cls.call_count == 1
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def test_model_reloaded_on_change(self, tmp_path):
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"""Switching model name should reload the model."""
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audio = tmp_path / "test.ogg"
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audio.write_bytes(b"fake")
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mock_segment = MagicMock()
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mock_segment.text = "hi"
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mock_info = MagicMock()
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mock_info.language = "en"
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mock_info.duration = 1.0
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mock_model = MagicMock()
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mock_model.transcribe.return_value = ([mock_segment], mock_info)
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mock_whisper_cls = MagicMock(return_value=mock_model)
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with patch("tools.transcription_tools._HAS_FASTER_WHISPER", True), \
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patch("faster_whisper.WhisperModel", mock_whisper_cls), \
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patch("tools.transcription_tools._local_model", None), \
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patch("tools.transcription_tools._local_model_name", None):
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from tools.transcription_tools import _transcribe_local
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_transcribe_local(str(audio), "base")
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_transcribe_local(str(audio), "small")
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assert mock_whisper_cls.call_count == 2
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def test_exception_returns_failure(self, tmp_path):
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audio = tmp_path / "test.ogg"
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audio.write_bytes(b"fake")
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mock_whisper_cls = MagicMock(side_effect=RuntimeError("CUDA out of memory"))
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with patch("tools.transcription_tools._HAS_FASTER_WHISPER", True), \
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patch("faster_whisper.WhisperModel", mock_whisper_cls), \
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patch("tools.transcription_tools._local_model", None):
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from tools.transcription_tools import _transcribe_local
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result = _transcribe_local(str(audio), "large-v3")
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assert result["success"] is False
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assert "CUDA out of memory" in result["error"]
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def test_multiple_segments_joined(self, tmp_path):
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audio = tmp_path / "test.ogg"
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audio.write_bytes(b"fake")
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seg1 = MagicMock()
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seg1.text = "Hello"
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seg2 = MagicMock()
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seg2.text = " world"
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mock_info = MagicMock()
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mock_info.language = "en"
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mock_info.duration = 3.0
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mock_model = MagicMock()
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mock_model.transcribe.return_value = ([seg1, seg2], mock_info)
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with patch("tools.transcription_tools._HAS_FASTER_WHISPER", True), \
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patch("faster_whisper.WhisperModel", return_value=mock_model), \
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patch("tools.transcription_tools._local_model", None):
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from tools.transcription_tools import _transcribe_local
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result = _transcribe_local(str(audio), "base")
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assert result["success"] is True
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assert result["transcript"] == "Hello world"
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# ============================================================================
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# Model auto-correction
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# ============================================================================
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class TestModelAutoCorrection:
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def test_groq_corrects_openai_model(self, monkeypatch, sample_wav):
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monkeypatch.setenv("GROQ_API_KEY", "gsk-test")
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mock_client = MagicMock()
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mock_client.audio.transcriptions.create.return_value = "hello world"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_groq, DEFAULT_GROQ_STT_MODEL
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_transcribe_groq(sample_wav, "whisper-1")
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call_kwargs = mock_client.audio.transcriptions.create.call_args
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assert call_kwargs.kwargs["model"] == DEFAULT_GROQ_STT_MODEL
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def test_groq_corrects_gpt4o_transcribe(self, monkeypatch, sample_wav):
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monkeypatch.setenv("GROQ_API_KEY", "gsk-test")
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mock_client = MagicMock()
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mock_client.audio.transcriptions.create.return_value = "test"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_groq, DEFAULT_GROQ_STT_MODEL
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_transcribe_groq(sample_wav, "gpt-4o-transcribe")
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call_kwargs = mock_client.audio.transcriptions.create.call_args
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assert call_kwargs.kwargs["model"] == DEFAULT_GROQ_STT_MODEL
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def test_openai_corrects_groq_model(self, monkeypatch, sample_wav):
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monkeypatch.setenv("VOICE_TOOLS_OPENAI_KEY", "sk-test")
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mock_client = MagicMock()
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mock_client.audio.transcriptions.create.return_value = "hello world"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_openai, DEFAULT_STT_MODEL
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_transcribe_openai(sample_wav, "whisper-large-v3-turbo")
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call_kwargs = mock_client.audio.transcriptions.create.call_args
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assert call_kwargs.kwargs["model"] == DEFAULT_STT_MODEL
|
|
|
|
def test_openai_corrects_distil_whisper(self, monkeypatch, sample_wav):
|
|
monkeypatch.setenv("VOICE_TOOLS_OPENAI_KEY", "sk-test")
|
|
|
|
mock_client = MagicMock()
|
|
mock_client.audio.transcriptions.create.return_value = "test"
|
|
|
|
with patch("tools.transcription_tools._HAS_OPENAI", True), \
|
|
patch("openai.OpenAI", return_value=mock_client):
|
|
from tools.transcription_tools import _transcribe_openai, DEFAULT_STT_MODEL
|
|
_transcribe_openai(sample_wav, "distil-whisper-large-v3-en")
|
|
|
|
call_kwargs = mock_client.audio.transcriptions.create.call_args
|
|
assert call_kwargs.kwargs["model"] == DEFAULT_STT_MODEL
|
|
|
|
def test_compatible_groq_model_not_overridden(self, monkeypatch, sample_wav):
|
|
monkeypatch.setenv("GROQ_API_KEY", "gsk-test")
|
|
|
|
mock_client = MagicMock()
|
|
mock_client.audio.transcriptions.create.return_value = "test"
|
|
|
|
with patch("tools.transcription_tools._HAS_OPENAI", True), \
|
|
patch("openai.OpenAI", return_value=mock_client):
|
|
from tools.transcription_tools import _transcribe_groq
|
|
_transcribe_groq(sample_wav, "whisper-large-v3")
|
|
|
|
call_kwargs = mock_client.audio.transcriptions.create.call_args
|
|
assert call_kwargs.kwargs["model"] == "whisper-large-v3"
|
|
|
|
def test_compatible_openai_model_not_overridden(self, monkeypatch, sample_wav):
|
|
monkeypatch.setenv("VOICE_TOOLS_OPENAI_KEY", "sk-test")
|
|
|
|
mock_client = MagicMock()
|
|
mock_client.audio.transcriptions.create.return_value = "test"
|
|
|
|
with patch("tools.transcription_tools._HAS_OPENAI", True), \
|
|
patch("openai.OpenAI", return_value=mock_client):
|
|
from tools.transcription_tools import _transcribe_openai
|
|
_transcribe_openai(sample_wav, "gpt-4o-mini-transcribe")
|
|
|
|
call_kwargs = mock_client.audio.transcriptions.create.call_args
|
|
assert call_kwargs.kwargs["model"] == "gpt-4o-mini-transcribe"
|
|
|
|
def test_unknown_model_passes_through_groq(self, monkeypatch, sample_wav):
|
|
"""A model not in either known set should not be overridden."""
|
|
monkeypatch.setenv("GROQ_API_KEY", "gsk-test")
|
|
|
|
mock_client = MagicMock()
|
|
mock_client.audio.transcriptions.create.return_value = "test"
|
|
|
|
with patch("tools.transcription_tools._HAS_OPENAI", True), \
|
|
patch("openai.OpenAI", return_value=mock_client):
|
|
from tools.transcription_tools import _transcribe_groq
|
|
_transcribe_groq(sample_wav, "my-custom-model")
|
|
|
|
call_kwargs = mock_client.audio.transcriptions.create.call_args
|
|
assert call_kwargs.kwargs["model"] == "my-custom-model"
|
|
|
|
def test_unknown_model_passes_through_openai(self, monkeypatch, sample_wav):
|
|
monkeypatch.setenv("VOICE_TOOLS_OPENAI_KEY", "sk-test")
|
|
|
|
mock_client = MagicMock()
|
|
mock_client.audio.transcriptions.create.return_value = "test"
|
|
|
|
with patch("tools.transcription_tools._HAS_OPENAI", True), \
|
|
patch("openai.OpenAI", return_value=mock_client):
|
|
from tools.transcription_tools import _transcribe_openai
|
|
_transcribe_openai(sample_wav, "my-custom-model")
|
|
|
|
call_kwargs = mock_client.audio.transcriptions.create.call_args
|
|
assert call_kwargs.kwargs["model"] == "my-custom-model"
|
|
|
|
|
|
# ============================================================================
|
|
# _load_stt_config
|
|
# ============================================================================
|
|
|
|
class TestLoadSttConfig:
|
|
def test_returns_dict_when_import_fails(self):
|
|
with patch("tools.transcription_tools._load_stt_config") as mock_load:
|
|
mock_load.return_value = {}
|
|
from tools.transcription_tools import _load_stt_config
|
|
assert _load_stt_config() == {}
|
|
|
|
def test_real_load_returns_dict(self):
|
|
"""_load_stt_config should always return a dict, even on import error."""
|
|
with patch.dict("sys.modules", {"hermes_cli": None, "hermes_cli.config": None}):
|
|
from tools.transcription_tools import _load_stt_config
|
|
result = _load_stt_config()
|
|
assert isinstance(result, dict)
|
|
|
|
|
|
# ============================================================================
|
|
# _validate_audio_file — edge cases
|
|
# ============================================================================
|
|
|
|
class TestValidateAudioFileEdgeCases:
|
|
def test_directory_is_not_a_file(self, tmp_path):
|
|
from tools.transcription_tools import _validate_audio_file
|
|
# tmp_path itself is a directory with an .ogg-ish name? No.
|
|
# Create a directory with a valid audio extension
|
|
d = tmp_path / "audio.ogg"
|
|
d.mkdir()
|
|
result = _validate_audio_file(str(d))
|
|
assert result is not None
|
|
assert "not a file" in result["error"]
|
|
|
|
def test_stat_oserror(self, tmp_path):
|
|
f = tmp_path / "test.ogg"
|
|
f.write_bytes(b"data")
|
|
from tools.transcription_tools import _validate_audio_file
|
|
real_stat = f.stat()
|
|
call_count = 0
|
|
|
|
def stat_side_effect(*args, **kwargs):
|
|
nonlocal call_count
|
|
call_count += 1
|
|
# First calls are from exists() and is_file(), let them pass
|
|
if call_count <= 2:
|
|
return real_stat
|
|
raise OSError("disk error")
|
|
|
|
with patch("pathlib.Path.stat", side_effect=stat_side_effect):
|
|
result = _validate_audio_file(str(f))
|
|
assert result is not None
|
|
assert "Failed to access" in result["error"]
|
|
|
|
def test_all_supported_formats_accepted(self, tmp_path):
|
|
from tools.transcription_tools import _validate_audio_file, SUPPORTED_FORMATS
|
|
for fmt in SUPPORTED_FORMATS:
|
|
f = tmp_path / f"test{fmt}"
|
|
f.write_bytes(b"data")
|
|
assert _validate_audio_file(str(f)) is None, f"Format {fmt} should be accepted"
|
|
|
|
def test_case_insensitive_extension(self, tmp_path):
|
|
from tools.transcription_tools import _validate_audio_file
|
|
f = tmp_path / "test.MP3"
|
|
f.write_bytes(b"data")
|
|
assert _validate_audio_file(str(f)) is None
|
|
|
|
|
|
# ============================================================================
|
|
# transcribe_audio — end-to-end dispatch
|
|
# ============================================================================
|
|
|
|
class TestTranscribeAudioDispatch:
|
|
def test_dispatches_to_groq(self, sample_ogg):
|
|
with patch("tools.transcription_tools._load_stt_config", return_value={"provider": "groq"}), \
|
|
patch("tools.transcription_tools._get_provider", return_value="groq"), \
|
|
patch("tools.transcription_tools._transcribe_groq",
|
|
return_value={"success": True, "transcript": "hi", "provider": "groq"}) as mock_groq:
|
|
from tools.transcription_tools import transcribe_audio
|
|
result = transcribe_audio(sample_ogg)
|
|
|
|
assert result["success"] is True
|
|
assert result["provider"] == "groq"
|
|
mock_groq.assert_called_once()
|
|
|
|
def test_dispatches_to_local(self, sample_ogg):
|
|
with patch("tools.transcription_tools._load_stt_config", return_value={}), \
|
|
patch("tools.transcription_tools._get_provider", return_value="local"), \
|
|
patch("tools.transcription_tools._transcribe_local",
|
|
return_value={"success": True, "transcript": "hi"}) as mock_local:
|
|
from tools.transcription_tools import transcribe_audio
|
|
result = transcribe_audio(sample_ogg)
|
|
|
|
assert result["success"] is True
|
|
mock_local.assert_called_once()
|
|
|
|
def test_dispatches_to_openai(self, sample_ogg):
|
|
with patch("tools.transcription_tools._load_stt_config", return_value={"provider": "openai"}), \
|
|
patch("tools.transcription_tools._get_provider", return_value="openai"), \
|
|
patch("tools.transcription_tools._transcribe_openai",
|
|
return_value={"success": True, "transcript": "hi", "provider": "openai"}) as mock_openai:
|
|
from tools.transcription_tools import transcribe_audio
|
|
result = transcribe_audio(sample_ogg)
|
|
|
|
assert result["success"] is True
|
|
mock_openai.assert_called_once()
|
|
|
|
def test_no_provider_returns_error(self, sample_ogg):
|
|
with patch("tools.transcription_tools._load_stt_config", return_value={}), \
|
|
patch("tools.transcription_tools._get_provider", return_value="none"):
|
|
from tools.transcription_tools import transcribe_audio
|
|
result = transcribe_audio(sample_ogg)
|
|
|
|
assert result["success"] is False
|
|
assert "No STT provider" in result["error"]
|
|
assert "faster-whisper" in result["error"]
|
|
assert "GROQ_API_KEY" in result["error"]
|
|
|
|
def test_invalid_file_short_circuits(self):
|
|
from tools.transcription_tools import transcribe_audio
|
|
result = transcribe_audio("/nonexistent/audio.wav")
|
|
assert result["success"] is False
|
|
assert "not found" in result["error"]
|
|
|
|
def test_model_override_passed_to_groq(self, sample_ogg):
|
|
with patch("tools.transcription_tools._load_stt_config", return_value={}), \
|
|
patch("tools.transcription_tools._get_provider", return_value="groq"), \
|
|
patch("tools.transcription_tools._transcribe_groq",
|
|
return_value={"success": True, "transcript": "hi"}) as mock_groq:
|
|
from tools.transcription_tools import transcribe_audio
|
|
transcribe_audio(sample_ogg, model="whisper-large-v3")
|
|
|
|
_, kwargs = mock_groq.call_args
|
|
assert kwargs.get("model_name") or mock_groq.call_args[0][1] == "whisper-large-v3"
|
|
|
|
def test_model_override_passed_to_local(self, sample_ogg):
|
|
with patch("tools.transcription_tools._load_stt_config", return_value={}), \
|
|
patch("tools.transcription_tools._get_provider", return_value="local"), \
|
|
patch("tools.transcription_tools._transcribe_local",
|
|
return_value={"success": True, "transcript": "hi"}) as mock_local:
|
|
from tools.transcription_tools import transcribe_audio
|
|
transcribe_audio(sample_ogg, model="large-v3")
|
|
|
|
assert mock_local.call_args[0][1] == "large-v3"
|
|
|
|
def test_default_model_used_when_none(self, sample_ogg):
|
|
with patch("tools.transcription_tools._load_stt_config", return_value={}), \
|
|
patch("tools.transcription_tools._get_provider", return_value="groq"), \
|
|
patch("tools.transcription_tools._transcribe_groq",
|
|
return_value={"success": True, "transcript": "hi"}) as mock_groq:
|
|
from tools.transcription_tools import transcribe_audio, DEFAULT_GROQ_STT_MODEL
|
|
transcribe_audio(sample_ogg, model=None)
|
|
|
|
assert mock_groq.call_args[0][1] == DEFAULT_GROQ_STT_MODEL
|
|
|
|
def test_config_local_model_used(self, sample_ogg):
|
|
config = {"local": {"model": "small"}}
|
|
with patch("tools.transcription_tools._load_stt_config", return_value=config), \
|
|
patch("tools.transcription_tools._get_provider", return_value="local"), \
|
|
patch("tools.transcription_tools._transcribe_local",
|
|
return_value={"success": True, "transcript": "hi"}) as mock_local:
|
|
from tools.transcription_tools import transcribe_audio
|
|
transcribe_audio(sample_ogg, model=None)
|
|
|
|
assert mock_local.call_args[0][1] == "small"
|
|
|
|
def test_config_openai_model_used(self, sample_ogg):
|
|
config = {"openai": {"model": "gpt-4o-transcribe"}}
|
|
with patch("tools.transcription_tools._load_stt_config", return_value=config), \
|
|
patch("tools.transcription_tools._get_provider", return_value="openai"), \
|
|
patch("tools.transcription_tools._transcribe_openai",
|
|
return_value={"success": True, "transcript": "hi"}) as mock_openai:
|
|
from tools.transcription_tools import transcribe_audio
|
|
transcribe_audio(sample_ogg, model=None)
|
|
|
|
assert mock_openai.call_args[0][1] == "gpt-4o-transcribe"
|
|
|
|
|
|
# ============================================================================
|
|
# get_stt_model_from_config
|
|
# ============================================================================
|
|
|
|
class TestGetSttModelFromConfig:
|
|
def test_returns_model_from_config(self, tmp_path, monkeypatch):
|
|
cfg = tmp_path / "config.yaml"
|
|
cfg.write_text("stt:\n model: whisper-large-v3\n")
|
|
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
|
|
|
|
from tools.transcription_tools import get_stt_model_from_config
|
|
assert get_stt_model_from_config() == "whisper-large-v3"
|
|
|
|
def test_returns_none_when_no_stt_section(self, tmp_path, monkeypatch):
|
|
cfg = tmp_path / "config.yaml"
|
|
cfg.write_text("tts:\n provider: edge\n")
|
|
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
|
|
|
|
from tools.transcription_tools import get_stt_model_from_config
|
|
assert get_stt_model_from_config() is None
|
|
|
|
def test_returns_none_when_no_config_file(self, tmp_path, monkeypatch):
|
|
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
|
|
|
|
from tools.transcription_tools import get_stt_model_from_config
|
|
assert get_stt_model_from_config() is None
|
|
|
|
def test_returns_none_on_invalid_yaml(self, tmp_path, monkeypatch):
|
|
cfg = tmp_path / "config.yaml"
|
|
cfg.write_text(": : :\n bad yaml [[[")
|
|
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
|
|
|
|
from tools.transcription_tools import get_stt_model_from_config
|
|
assert get_stt_model_from_config() is None
|
|
|
|
def test_returns_none_when_model_key_missing(self, tmp_path, monkeypatch):
|
|
cfg = tmp_path / "config.yaml"
|
|
cfg.write_text("stt:\n enabled: true\n")
|
|
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
|
|
|
|
from tools.transcription_tools import get_stt_model_from_config
|
|
assert get_stt_model_from_config() is None
|