Thales Maciel
fa91f313c4
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ci / test-and-build (push) Waiting to run
Keep the daemon path on the full ASR result so word timings and detected language survive into the editor pipeline instead of falling back to a plain transcript string. Add PipelineEngine.run_asr_result(), have aman call it when live ASR data is available, and cover the word-aware alignment behavior in the daemon tests. Collapse the llama cleanup flow to a single JSON-shaped completion while leaving the legacy pass1/pass2 parameters in place as compatibility no-ops. Validated with PYTHONPATH=src python3 -m unittest tests.test_aiprocess tests.test_aman.
597 lines
22 KiB
Python
597 lines
22 KiB
Python
import os
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import sys
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import tempfile
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import unittest
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from pathlib import Path
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from unittest.mock import patch
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ROOT = Path(__file__).resolve().parents[1]
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SRC = ROOT / "src"
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if str(SRC) not in sys.path:
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sys.path.insert(0, str(SRC))
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import aman
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from config import Config, VocabularyReplacement
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from stages.asr_whisper import AsrResult, AsrSegment, AsrWord
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class FakeDesktop:
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def __init__(self, *, fail_cancel_listener: bool = False):
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self.inject_calls = []
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self.quit_calls = 0
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self.cancel_listener_start_calls = 0
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self.cancel_listener_stop_calls = 0
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self.cancel_listener_callback = None
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self.fail_cancel_listener = fail_cancel_listener
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def start_cancel_listener(self, callback) -> None:
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if self.fail_cancel_listener:
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raise RuntimeError("cancel listener unavailable")
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self.cancel_listener_start_calls += 1
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self.cancel_listener_callback = callback
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def stop_cancel_listener(self) -> None:
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self.cancel_listener_stop_calls += 1
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self.cancel_listener_callback = None
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def inject_text(
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self,
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text: str,
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backend: str,
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*,
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remove_transcription_from_clipboard: bool = False,
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) -> None:
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self.inject_calls.append((text, backend, remove_transcription_from_clipboard))
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def request_quit(self) -> None:
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self.quit_calls += 1
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class FakeSegment:
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def __init__(self, text: str):
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self.text = text
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class FakeModel:
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def __init__(self, text: str = "hello world"):
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self.text = text
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self.last_kwargs = {}
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def transcribe(self, _audio, language=None, vad_filter=None):
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self.last_kwargs = {
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"language": language,
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"vad_filter": vad_filter,
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}
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return [FakeSegment(self.text)], self.last_kwargs
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class FakeHintModel:
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def __init__(self, text: str = "hello world"):
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self.text = text
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self.last_kwargs = {}
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def transcribe(
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self,
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_audio,
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language=None,
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vad_filter=None,
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hotwords=None,
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initial_prompt=None,
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):
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self.last_kwargs = {
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"language": language,
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"vad_filter": vad_filter,
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"hotwords": hotwords,
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"initial_prompt": initial_prompt,
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}
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return [FakeSegment(self.text)], self.last_kwargs
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class FakeKwargModel:
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def __init__(self, text: str = "hello world"):
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self.text = text
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self.last_kwargs = {}
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def transcribe(self, _audio, **kwargs):
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self.last_kwargs = dict(kwargs)
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return [FakeSegment(self.text)], self.last_kwargs
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class FakeUnsupportedLanguageModel:
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def __init__(self, text: str = "hello world"):
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self.text = text
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self.calls = []
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def transcribe(self, _audio, language=None, vad_filter=None):
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self.calls.append({"language": language, "vad_filter": vad_filter})
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if language:
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raise RuntimeError(f"unsupported language: {language}")
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return [FakeSegment(self.text)], {"language": language, "vad_filter": vad_filter}
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class FakeAIProcessor:
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def __init__(self):
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self.last_kwargs = {}
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self.warmup_calls = []
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self.warmup_error = None
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self.process_error = None
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def process(self, text, lang="auto", **_kwargs):
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if self.process_error is not None:
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raise self.process_error
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self.last_kwargs = {"lang": lang, **_kwargs}
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return text
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def warmup(self, profile="default"):
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self.warmup_calls.append(profile)
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if self.warmup_error:
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raise self.warmup_error
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class FakeAudio:
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def __init__(self, size: int):
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self.size = size
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class FakeStream:
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def __init__(self):
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self.stop_calls = 0
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self.close_calls = 0
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def stop(self):
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self.stop_calls += 1
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def close(self):
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self.close_calls += 1
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def _asr_result(text: str, words: list[str], *, language: str = "auto") -> AsrResult:
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asr_words: list[AsrWord] = []
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start = 0.0
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for token in words:
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asr_words.append(AsrWord(text=token, start_s=start, end_s=start + 0.1, prob=0.9))
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start += 0.2
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return AsrResult(
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raw_text=text,
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language=language,
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latency_ms=5.0,
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words=asr_words,
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segments=[AsrSegment(text=text, start_s=0.0, end_s=max(start, 0.1))],
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)
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class DaemonTests(unittest.TestCase):
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def _config(self) -> Config:
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cfg = Config()
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return cfg
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def _build_daemon(
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self,
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desktop: FakeDesktop,
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model: FakeModel | FakeHintModel,
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*,
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cfg: Config | None = None,
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verbose: bool = False,
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ai_processor: FakeAIProcessor | None = None,
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) -> aman.Daemon:
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active_cfg = cfg if cfg is not None else self._config()
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active_ai_processor = ai_processor or FakeAIProcessor()
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with patch("aman._build_whisper_model", return_value=model), patch(
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"aman.LlamaProcessor", return_value=active_ai_processor
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):
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return aman.Daemon(active_cfg, desktop, verbose=verbose)
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@patch("aman.stop_audio_recording", return_value=FakeAudio(8))
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@patch("aman.start_audio_recording", return_value=(object(), object()))
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def test_toggle_start_stop_injects_text(self, _start_mock, _stop_mock):
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desktop = FakeDesktop()
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daemon = self._build_daemon(desktop, FakeModel(), verbose=False)
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daemon._start_stop_worker = (
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lambda stream, record, trigger, process_audio: daemon._stop_and_process(
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stream, record, trigger, process_audio
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)
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)
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daemon.toggle()
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self.assertEqual(daemon.get_state(), aman.State.RECORDING)
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daemon.toggle()
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self.assertEqual(daemon.get_state(), aman.State.IDLE)
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self.assertEqual(desktop.inject_calls, [("hello world", "clipboard", False)])
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@patch("aman.stop_audio_recording", return_value=FakeAudio(8))
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@patch("aman.start_audio_recording", return_value=(object(), object()))
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def test_shutdown_stops_recording_without_injection(self, _start_mock, _stop_mock):
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desktop = FakeDesktop()
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daemon = self._build_daemon(desktop, FakeModel(), verbose=False)
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daemon._start_stop_worker = (
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lambda stream, record, trigger, process_audio: daemon._stop_and_process(
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stream, record, trigger, process_audio
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)
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)
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daemon.toggle()
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self.assertEqual(daemon.get_state(), aman.State.RECORDING)
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self.assertTrue(daemon.shutdown(timeout=0.2))
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self.assertEqual(daemon.get_state(), aman.State.IDLE)
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self.assertEqual(desktop.inject_calls, [])
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@patch("aman.stop_audio_recording", return_value=FakeAudio(8))
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@patch("aman.start_audio_recording", return_value=(object(), object()))
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def test_dictionary_replacement_applies_after_ai(self, _start_mock, _stop_mock):
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desktop = FakeDesktop()
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model = FakeModel(text="good morning martha")
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cfg = self._config()
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cfg.vocabulary.replacements = [VocabularyReplacement(source="Martha", target="Marta")]
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daemon = self._build_daemon(desktop, model, cfg=cfg, verbose=False)
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daemon._start_stop_worker = (
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lambda stream, record, trigger, process_audio: daemon._stop_and_process(
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stream, record, trigger, process_audio
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)
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)
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daemon.toggle()
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daemon.toggle()
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self.assertEqual(desktop.inject_calls, [("good morning Marta", "clipboard", False)])
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@patch("aman.stop_audio_recording", return_value=FakeAudio(8))
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@patch("aman.start_audio_recording", return_value=(object(), object()))
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def test_editor_failure_aborts_output_injection(self, _start_mock, _stop_mock):
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desktop = FakeDesktop()
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model = FakeModel(text="hello world")
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ai_processor = FakeAIProcessor()
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ai_processor.process_error = RuntimeError("editor boom")
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daemon = self._build_daemon(
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desktop,
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model,
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verbose=False,
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ai_processor=ai_processor,
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)
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daemon._start_stop_worker = (
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lambda stream, record, trigger, process_audio: daemon._stop_and_process(
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stream, record, trigger, process_audio
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)
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)
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daemon.toggle()
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daemon.toggle()
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self.assertEqual(desktop.inject_calls, [])
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self.assertEqual(daemon.get_state(), aman.State.IDLE)
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@patch("aman.stop_audio_recording", return_value=FakeAudio(8))
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@patch("aman.start_audio_recording", return_value=(object(), object()))
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def test_live_path_uses_asr_words_for_alignment_correction(self, _start_mock, _stop_mock):
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desktop = FakeDesktop()
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ai_processor = FakeAIProcessor()
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daemon = self._build_daemon(desktop, FakeModel(), verbose=False, ai_processor=ai_processor)
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daemon.asr_stage.transcribe = lambda _audio: _asr_result(
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"set alarm for 6 i mean 7",
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["set", "alarm", "for", "6", "i", "mean", "7"],
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language="en",
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)
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daemon._start_stop_worker = (
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lambda stream, record, trigger, process_audio: daemon._stop_and_process(
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stream, record, trigger, process_audio
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)
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)
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daemon.toggle()
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daemon.toggle()
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self.assertEqual(desktop.inject_calls, [("set alarm for 7", "clipboard", False)])
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self.assertEqual(ai_processor.last_kwargs.get("lang"), "en")
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@patch("aman.stop_audio_recording", return_value=FakeAudio(8))
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@patch("aman.start_audio_recording", return_value=(object(), object()))
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def test_live_path_calls_word_aware_pipeline_entrypoint(self, _start_mock, _stop_mock):
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desktop = FakeDesktop()
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daemon = self._build_daemon(desktop, FakeModel(), verbose=False)
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asr_result = _asr_result(
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"set alarm for 6 i mean 7",
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["set", "alarm", "for", "6", "i", "mean", "7"],
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language="en",
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)
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daemon.asr_stage.transcribe = lambda _audio: asr_result
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daemon._start_stop_worker = (
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lambda stream, record, trigger, process_audio: daemon._stop_and_process(
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stream, record, trigger, process_audio
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)
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)
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with patch.object(daemon.pipeline, "run_asr_result", wraps=daemon.pipeline.run_asr_result) as run_asr:
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daemon.toggle()
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daemon.toggle()
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run_asr.assert_called_once()
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self.assertIs(run_asr.call_args.args[0], asr_result)
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def test_transcribe_skips_hints_when_model_does_not_support_them(self):
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desktop = FakeDesktop()
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model = FakeModel(text="hello")
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cfg = self._config()
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cfg.vocabulary.terms = ["Docker", "Systemd"]
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daemon = self._build_daemon(desktop, model, cfg=cfg, verbose=False)
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result, used_lang = daemon._transcribe(object())
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self.assertEqual(result, "hello")
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self.assertEqual(used_lang, "auto")
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self.assertNotIn("hotwords", model.last_kwargs)
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self.assertNotIn("initial_prompt", model.last_kwargs)
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def test_transcribe_applies_hints_when_model_supports_them(self):
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desktop = FakeDesktop()
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model = FakeHintModel(text="hello")
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cfg = self._config()
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cfg.vocabulary.terms = ["Systemd"]
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cfg.vocabulary.replacements = [VocabularyReplacement(source="docker", target="Docker")]
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daemon = self._build_daemon(desktop, model, cfg=cfg, verbose=False)
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result, used_lang = daemon._transcribe(object())
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self.assertEqual(result, "hello")
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self.assertEqual(used_lang, "auto")
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self.assertIn("Docker", model.last_kwargs["hotwords"])
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self.assertIn("Systemd", model.last_kwargs["hotwords"])
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self.assertIsNone(model.last_kwargs["initial_prompt"])
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def test_transcribe_uses_configured_language_hint(self):
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desktop = FakeDesktop()
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model = FakeModel(text="hola")
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cfg = self._config()
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cfg.stt.language = "es"
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daemon = self._build_daemon(desktop, model, cfg=cfg, verbose=False)
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result, used_lang = daemon._transcribe(object())
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self.assertEqual(result, "hola")
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self.assertEqual(used_lang, "es")
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self.assertEqual(model.last_kwargs["language"], "es")
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def test_transcribe_auto_language_omits_language_kwarg(self):
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desktop = FakeDesktop()
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model = FakeKwargModel(text="hello")
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cfg = self._config()
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cfg.stt.language = "auto"
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daemon = self._build_daemon(desktop, model, cfg=cfg, verbose=False)
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result, used_lang = daemon._transcribe(object())
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self.assertEqual(result, "hello")
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self.assertEqual(used_lang, "auto")
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self.assertNotIn("language", model.last_kwargs)
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def test_transcribe_falls_back_to_auto_when_hint_is_rejected(self):
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desktop = FakeDesktop()
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model = FakeUnsupportedLanguageModel(text="bonjour")
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cfg = self._config()
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cfg.stt.language = "fr"
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daemon = self._build_daemon(desktop, model, cfg=cfg, verbose=False)
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with self.assertLogs(level="WARNING") as logs:
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result, used_lang = daemon._transcribe(object())
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self.assertEqual(result, "bonjour")
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self.assertEqual(used_lang, "auto")
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self.assertEqual(len(model.calls), 2)
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self.assertEqual(model.calls[0]["language"], "fr")
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self.assertIsNone(model.calls[1]["language"])
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self.assertTrue(any("falling back to auto-detect" in line for line in logs.output))
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def test_verbose_flag_controls_transcript_logging(self):
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desktop = FakeDesktop()
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cfg = self._config()
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daemon = self._build_daemon(desktop, FakeModel(), cfg=cfg, verbose=False)
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self.assertFalse(daemon.log_transcript)
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daemon_verbose = self._build_daemon(desktop, FakeModel(), cfg=cfg, verbose=True)
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self.assertTrue(daemon_verbose.log_transcript)
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def test_editor_stage_is_initialized_during_daemon_init(self):
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desktop = FakeDesktop()
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with patch("aman._build_whisper_model", return_value=FakeModel()), patch(
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"aman.LlamaProcessor", return_value=FakeAIProcessor()
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) as processor_cls:
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daemon = aman.Daemon(self._config(), desktop, verbose=True)
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processor_cls.assert_called_once_with(verbose=True, model_path=None)
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self.assertIsNotNone(daemon.editor_stage)
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def test_editor_stage_is_warmed_up_during_daemon_init(self):
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desktop = FakeDesktop()
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ai_processor = FakeAIProcessor()
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with patch("aman._build_whisper_model", return_value=FakeModel()), patch(
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"aman.LlamaProcessor", return_value=ai_processor
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):
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daemon = aman.Daemon(self._config(), desktop, verbose=False)
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self.assertIs(daemon.editor_stage._processor, ai_processor)
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self.assertEqual(ai_processor.warmup_calls, ["default"])
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def test_editor_stage_warmup_failure_is_fatal_with_strict_startup(self):
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desktop = FakeDesktop()
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cfg = self._config()
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cfg.advanced.strict_startup = True
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ai_processor = FakeAIProcessor()
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ai_processor.warmup_error = RuntimeError("warmup boom")
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with patch("aman._build_whisper_model", return_value=FakeModel()), patch(
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"aman.LlamaProcessor", return_value=ai_processor
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):
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with self.assertRaisesRegex(RuntimeError, "editor stage warmup failed"):
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aman.Daemon(cfg, desktop, verbose=False)
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def test_editor_stage_warmup_failure_is_non_fatal_without_strict_startup(self):
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desktop = FakeDesktop()
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cfg = self._config()
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cfg.advanced.strict_startup = False
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ai_processor = FakeAIProcessor()
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ai_processor.warmup_error = RuntimeError("warmup boom")
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with patch("aman._build_whisper_model", return_value=FakeModel()), patch(
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"aman.LlamaProcessor", return_value=ai_processor
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):
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with self.assertLogs(level="WARNING") as logs:
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daemon = aman.Daemon(cfg, desktop, verbose=False)
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self.assertIs(daemon.editor_stage._processor, ai_processor)
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self.assertTrue(
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any("continuing because advanced.strict_startup=false" in line for line in logs.output)
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)
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@patch("aman.stop_audio_recording", return_value=FakeAudio(8))
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@patch("aman.start_audio_recording", return_value=(object(), object()))
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def test_passes_clipboard_remove_option_to_desktop(self, _start_mock, _stop_mock):
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desktop = FakeDesktop()
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model = FakeModel(text="hello world")
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cfg = self._config()
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cfg.injection.remove_transcription_from_clipboard = True
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daemon = self._build_daemon(desktop, model, cfg=cfg, verbose=False)
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daemon._start_stop_worker = (
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lambda stream, record, trigger, process_audio: daemon._stop_and_process(
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stream, record, trigger, process_audio
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)
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)
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daemon.toggle()
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daemon.toggle()
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self.assertEqual(desktop.inject_calls, [("hello world", "clipboard", True)])
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def test_state_changes_are_debug_level(self):
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desktop = FakeDesktop()
|
|
daemon = self._build_daemon(desktop, FakeModel(), verbose=False)
|
|
|
|
with self.assertLogs(level="DEBUG") as logs:
|
|
daemon.set_state(aman.State.RECORDING)
|
|
|
|
self.assertTrue(
|
|
any("DEBUG:root:state: idle -> recording" in line for line in logs.output)
|
|
)
|
|
|
|
@patch("aman.stop_audio_recording", return_value=FakeAudio(8))
|
|
@patch("aman.start_audio_recording", return_value=(object(), object()))
|
|
def test_cancel_listener_armed_only_while_recording(self, _start_mock, _stop_mock):
|
|
desktop = FakeDesktop()
|
|
daemon = self._build_daemon(desktop, FakeModel(), verbose=False)
|
|
daemon._start_stop_worker = (
|
|
lambda stream, record, trigger, process_audio: daemon._stop_and_process(
|
|
stream, record, trigger, process_audio
|
|
)
|
|
)
|
|
|
|
self.assertIsNone(desktop.cancel_listener_callback)
|
|
daemon.toggle()
|
|
self.assertEqual(desktop.cancel_listener_start_calls, 1)
|
|
self.assertEqual(desktop.cancel_listener_stop_calls, 0)
|
|
self.assertIsNotNone(desktop.cancel_listener_callback)
|
|
|
|
daemon.toggle()
|
|
self.assertEqual(desktop.cancel_listener_start_calls, 1)
|
|
self.assertEqual(desktop.cancel_listener_stop_calls, 1)
|
|
self.assertIsNone(desktop.cancel_listener_callback)
|
|
|
|
@patch("aman.start_audio_recording")
|
|
def test_recording_does_not_start_when_cancel_listener_fails(self, start_mock):
|
|
stream = FakeStream()
|
|
start_mock.return_value = (stream, object())
|
|
desktop = FakeDesktop(fail_cancel_listener=True)
|
|
daemon = self._build_daemon(desktop, FakeModel(), verbose=False)
|
|
|
|
daemon.toggle()
|
|
|
|
self.assertEqual(daemon.get_state(), aman.State.IDLE)
|
|
self.assertIsNone(daemon.stream)
|
|
self.assertIsNone(daemon.record)
|
|
self.assertEqual(stream.stop_calls, 1)
|
|
self.assertEqual(stream.close_calls, 1)
|
|
|
|
@patch("aman.stop_audio_recording", return_value=FakeAudio(8))
|
|
@patch("aman.start_audio_recording", return_value=(object(), object()))
|
|
def test_ai_processor_receives_active_profile(self, _start_mock, _stop_mock):
|
|
desktop = FakeDesktop()
|
|
cfg = self._config()
|
|
cfg.ux.profile = "fast"
|
|
ai_processor = FakeAIProcessor()
|
|
daemon = self._build_daemon(
|
|
desktop,
|
|
FakeModel(text="hello world"),
|
|
cfg=cfg,
|
|
verbose=False,
|
|
ai_processor=ai_processor,
|
|
)
|
|
daemon._start_stop_worker = (
|
|
lambda stream, record, trigger, process_audio: daemon._stop_and_process(
|
|
stream, record, trigger, process_audio
|
|
)
|
|
)
|
|
|
|
daemon.toggle()
|
|
daemon.toggle()
|
|
|
|
self.assertEqual(ai_processor.last_kwargs.get("profile"), "fast")
|
|
|
|
@patch("aman.stop_audio_recording", return_value=FakeAudio(8))
|
|
@patch("aman.start_audio_recording", return_value=(object(), object()))
|
|
def test_ai_processor_receives_effective_language(self, _start_mock, _stop_mock):
|
|
desktop = FakeDesktop()
|
|
cfg = self._config()
|
|
cfg.stt.language = "es"
|
|
ai_processor = FakeAIProcessor()
|
|
daemon = self._build_daemon(
|
|
desktop,
|
|
FakeModel(text="hola mundo"),
|
|
cfg=cfg,
|
|
verbose=False,
|
|
ai_processor=ai_processor,
|
|
)
|
|
daemon._start_stop_worker = (
|
|
lambda stream, record, trigger, process_audio: daemon._stop_and_process(
|
|
stream, record, trigger, process_audio
|
|
)
|
|
)
|
|
|
|
daemon.toggle()
|
|
daemon.toggle()
|
|
|
|
self.assertEqual(ai_processor.last_kwargs.get("lang"), "es")
|
|
|
|
@patch("aman.start_audio_recording")
|
|
def test_paused_state_blocks_recording_start(self, start_mock):
|
|
desktop = FakeDesktop()
|
|
daemon = self._build_daemon(desktop, FakeModel(), verbose=False)
|
|
|
|
self.assertTrue(daemon.toggle_paused())
|
|
daemon.toggle()
|
|
|
|
start_mock.assert_not_called()
|
|
self.assertEqual(daemon.get_state(), aman.State.IDLE)
|
|
self.assertEqual(desktop.cancel_listener_start_calls, 0)
|
|
|
|
|
|
class LockTests(unittest.TestCase):
|
|
def test_lock_rejects_second_instance(self):
|
|
with tempfile.TemporaryDirectory() as td:
|
|
with patch.dict(os.environ, {"XDG_RUNTIME_DIR": td}, clear=False):
|
|
first = aman._lock_single_instance()
|
|
try:
|
|
with self.assertRaises(SystemExit) as ctx:
|
|
aman._lock_single_instance()
|
|
self.assertIn("already running", str(ctx.exception))
|
|
finally:
|
|
first.close()
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|