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Consolidates the incremental refactor work into a single change set: modular web tools (api/web_tools), native Anthropic request building and SSE block policy, OpenAI conversion and error handling, provider transports and rate limiting, messaging handler and tree queue, safe logging, smoke tests, and broad test coverage.
62 lines
2.2 KiB
Python
62 lines
2.2 KiB
Python
from __future__ import annotations
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import os
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from pathlib import Path
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import pytest
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from messaging.transcription import transcribe_audio
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from smoke.lib.config import SmokeConfig
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from smoke.lib.e2e import VoiceFixtureDriver
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pytestmark = [pytest.mark.live]
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@pytest.mark.smoke_target("voice")
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def test_voice_local_backend_e2e(smoke_config: SmokeConfig, tmp_path: Path) -> None:
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if not smoke_config.settings.voice_note_enabled:
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pytest.skip("missing_env: VOICE_NOTE_ENABLED is false")
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if os.getenv("FCC_SMOKE_RUN_VOICE") != "1":
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pytest.skip("missing_env: set FCC_SMOKE_RUN_VOICE=1 to run voice product smoke")
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if smoke_config.settings.whisper_device not in {"cpu", "cuda"}:
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pytest.skip("missing_env: WHISPER_DEVICE must be cpu or cuda")
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wav_path = tmp_path / "voice-local-product.wav"
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VoiceFixtureDriver.write_tone_wav(wav_path)
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try:
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text = transcribe_audio(
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wav_path,
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"audio/wav",
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whisper_model=smoke_config.settings.whisper_model,
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whisper_device=smoke_config.settings.whisper_device,
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)
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except ImportError as exc:
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pytest.skip(f"missing_env: {exc}")
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assert isinstance(text, str)
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assert text.strip()
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@pytest.mark.smoke_target("voice")
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def test_voice_nim_backend_e2e(smoke_config: SmokeConfig, tmp_path: Path) -> None:
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if not smoke_config.settings.voice_note_enabled:
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pytest.skip("missing_env: VOICE_NOTE_ENABLED is false")
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if os.getenv("FCC_SMOKE_RUN_VOICE") != "1":
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pytest.skip("missing_env: set FCC_SMOKE_RUN_VOICE=1 to run voice product smoke")
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if smoke_config.settings.whisper_device != "nvidia_nim":
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pytest.skip("missing_env: WHISPER_DEVICE must be nvidia_nim")
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if not smoke_config.settings.nvidia_nim_api_key.strip():
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pytest.skip("missing_env: NVIDIA_NIM_API_KEY is required")
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wav_path = tmp_path / "voice-nim-product.wav"
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VoiceFixtureDriver.write_tone_wav(wav_path)
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text = transcribe_audio(
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wav_path,
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"audio/wav",
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whisper_model=smoke_config.settings.whisper_model,
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whisper_device="nvidia_nim",
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nvidia_nim_api_key=smoke_config.settings.nvidia_nim_api_key,
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)
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assert isinstance(text, str)
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assert text.strip()
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