Zonza : dictée vocale locale macOS (MLX-Whisper + cercle pulsant)

Reconstruction propre de l'ancien projet Dictée. Bundle id neuf
(cloud.mrtechlab.zonza), chemin de build unique vers /Applications
(plus jamais de builds /tmp enregistrés dans LaunchServices).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

tests/test_audio_level.py

@@ -0,0 +1,56 @@
+import numpy as np
+
+from audio_level import compute_rms, shape_level
+
+
+def test_silence_is_zero():
+    frames = np.zeros(1000, dtype="float32")
+    assert compute_rms(frames) == 0.0
+
+
+def test_empty_is_zero():
+    frames = np.zeros(0, dtype="float32")
+    assert compute_rms(frames) == 0.0
+
+
+def test_full_scale_is_one():
+    # signal constant à l'amplitude max → RMS normalisé proche de 1.0
+    frames = np.ones(1000, dtype="float32")
+    assert compute_rms(frames) == 1.0
+
+
+def test_result_is_bounded():
+    # même un signal qui dépasse [-1, 1] reste borné à 1.0
+    frames = np.full(1000, 5.0, dtype="float32")
+    level = compute_rms(frames)
+    assert 0.0 <= level <= 1.0
+
+
+def test_louder_gives_higher_level():
+    quiet = np.full(1000, 0.1, dtype="float32")
+    loud = np.full(1000, 0.5, dtype="float32")
+    assert compute_rms(loud) > compute_rms(quiet)
+
+
+def test_shape_level_zero_stays_zero():
+    assert shape_level(0.0, gain=8.0) == 0.0
+
+
+def test_shape_level_boosts_quiet_voice():
+    # un RMS vocal typique (~0.05) doit devenir nettement perceptible après mise en forme
+    shaped = shape_level(0.05, gain=8.0)
+    assert shaped > 0.3
+
+
+def test_shape_level_is_bounded():
+    # un niveau déjà fort reste borné à 1.0 (pas de débordement)
+    assert shape_level(0.9, gain=8.0) == 1.0
+
+
+def test_shape_level_monotonic():
+    assert shape_level(0.2, gain=8.0) > shape_level(0.05, gain=8.0)
+
+
+def test_shape_level_gain_zero_is_zero():
+    # gain nul → aucune réaction
+    assert shape_level(0.5, gain=0.0) == 0.0

tests/test_core.py

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+from core import CONFIG, validate_config, is_long_enough, clean_transcript
+
+
+def test_config_has_required_keys():
+    for key in ("model", "language", "hotkey", "sounds", "min_duration_s", "sample_rate"):
+        assert key in CONFIG
+
+
+def test_config_defaults():
+    assert CONFIG["language"] == "fr"
+    assert CONFIG["min_duration_s"] == 0.3
+    assert CONFIG["sample_rate"] == 16000
+
+
+def test_validate_config_accepts_default():
+    validate_config(CONFIG)  # ne doit pas lever
+
+
+def test_validate_config_rejects_bad_duration():
+    import pytest
+    bad = dict(CONFIG, min_duration_s=-1)
+    with pytest.raises(ValueError):
+        validate_config(bad)
+
+
+def test_is_long_enough_true():
+    # 1 seconde d'audio à 16000 Hz = 16000 échantillons
+    assert is_long_enough(16000, sample_rate=16000, min_duration_s=0.3) is True
+
+
+def test_is_long_enough_false_too_short():
+    # 0.1 s = 1600 échantillons < seuil 0.3 s
+    assert is_long_enough(1600, sample_rate=16000, min_duration_s=0.3) is False
+
+
+def test_is_long_enough_empty():
+    assert is_long_enough(0, sample_rate=16000, min_duration_s=0.3) is False
+
+
+def test_clean_transcript_trims():
+    assert clean_transcript("  bonjour  ") == "bonjour"
+
+
+def test_clean_transcript_collapses_internal_whitespace():
+    assert clean_transcript("crée   moi  un\noutil") == "crée moi un outil"
+
+
+def test_clean_transcript_empty_stays_empty():
+    assert clean_transcript("   ") == ""
+
+
+def test_config_has_ui_keys():
+    for key in ("fps", "circle_base_radius", "circle_amplitude", "circle_color_rgb"):
+        assert key in CONFIG
+
+
+def test_config_ui_defaults():
+    assert CONFIG["fps"] == 30
+    assert CONFIG["circle_base_radius"] > 0
+    assert CONFIG["circle_amplitude"] > 0
+    assert len(CONFIG["circle_color_rgb"]) == 3