Spaces:
Running
Running
File size: 7,851 Bytes
1ad671f 93d65fd 1ad671f f511f7a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 | import importlib
import sys
import types
from unittest import mock
import pytest
def import_app_with_gradio_stub():
sys.modules.pop("app", None)
sys.modules["gradio"] = types.ModuleType("gradio")
return importlib.import_module("app")
def import_app_without_gradio():
original_import = __import__
def blocked_import(name, globals=None, locals=None, fromlist=(), level=0):
if name == "gradio":
raise ModuleNotFoundError("No module named 'gradio'")
return original_import(name, globals, locals, fromlist, level)
sys.modules.pop("app", None)
sys.modules.pop("gradio", None)
with mock.patch("builtins.__import__", side_effect=blocked_import):
return importlib.import_module("app")
def test_normalize_rhythm_override_treats_automatic_as_none():
app = import_app_with_gradio_stub()
assert app.normalize_rhythm_override("Automatic") is None
def test_session_examples_leave_tone_center_blank_for_automatic_mode():
app = import_app_with_gradio_stub()
assert all(example[2] is None for example in app.SESSION_EXAMPLES)
def test_build_session_copy_uses_human_labels():
app = import_app_with_gradio_stub()
analysis = {
"emotional_state": "anxious",
"session_profile": {
"title": "Grounding Tide",
"emotional_tone": "Settling and steady",
"guidance": "Let your breath fall behind the pulse until the session feels steady.",
"reflection": "This session favors stability over intensity.",
},
}
card = app.build_session_copy(analysis)
assert card["session_name"] == "Grounding Tide"
assert card["listening_path"].startswith("Settling and steady")
assert "stability over intensity" in card["session_reflection"]
def test_import_without_gradio_uses_interface_guard():
app = import_app_without_gradio()
assert app.gr is None
with pytest.raises(ModuleNotFoundError, match="gradio is required"):
app.create_interface()
def test_rhythma_experience_returns_session_led_copy(monkeypatch):
app = import_app_with_gradio_stub()
analysis = {
"emotional_state": "anxious",
"transcription": "",
"session_profile": {
"title": "Grounding Tide",
"emotional_tone": "Settling and steady",
"guidance": "Let your breath fall behind the pulse until the session feels steady.",
"reflection": "This session favors stability over intensity.",
},
}
monkeypatch.setattr(app, "analyze_input", lambda text, audio: analysis)
monkeypatch.setattr(
app,
"generate_modulated_experience",
lambda *args, **kwargs: ("legacy analysis", "session.wav", "plot", "image", "legacy symbolic"),
)
outputs = app.rhythma_experience(
"I feel anxious and need to settle down",
None,
override_freq=0,
override_modulation="sine",
override_rhythm="Automatic",
duration=5,
)
assert outputs[0] == "### Grounding Tide"
assert outputs[1] == "Settling and steady"
assert outputs[2].startswith("Settling and steady")
assert outputs[3] == "session.wav"
assert outputs[6] == "This session favors stability over intensity."
assert outputs[7] == ""
def test_rhythma_experience_degrades_copy_consistently_on_generation_failure(monkeypatch):
app = import_app_with_gradio_stub()
analysis = {
"emotional_state": "anxious",
"transcription": "",
"session_profile": {
"title": "Grounding Tide",
"emotional_tone": "Settling and steady",
"guidance": "Let your breath fall behind the pulse until the session feels steady.",
"reflection": "This session favors stability over intensity.",
},
}
monkeypatch.setattr(app, "analyze_input", lambda text, audio: analysis)
monkeypatch.setattr(
app,
"generate_modulated_experience",
lambda *args, **kwargs: ("Generation unavailable", None, None, None, "legacy symbolic"),
)
outputs = app.rhythma_experience(
"I feel anxious and need to settle down",
None,
override_freq=0,
override_modulation="sine",
override_rhythm="Automatic",
duration=5,
)
assert outputs[2] == "Generation unavailable"
assert outputs[6] == "Generation unavailable"
def test_rhythma_experience_uses_real_session_profile_across_pipeline(monkeypatch):
app = import_app_with_gradio_stub()
captured = {}
class FakeEngine:
def __init__(self, **kwargs):
captured["init_kwargs"] = kwargs
self.generated_audio = None
def render_session(self, profile, duration):
captured["render_profile"] = profile
captured["render_duration"] = duration
return "layered-session-audio"
def generate_modulated_wave(self, duration):
captured["generated_duration"] = duration
return "legacy-generated-audio"
def save_audio(self, duration, file_path):
captured["save_duration"] = duration
captured["save_path"] = file_path
self.generated_audio = self.generate_modulated_wave(duration)
return file_path
def visualize_waveform(self, duration):
captured["visualize_duration"] = duration
return "plot"
def get_waveform_image(self):
return "image"
def get_complete_analysis(self):
return "legacy analysis"
def get_symbolic_interpretation(self):
return "legacy symbolic"
monkeypatch.setattr(app, "RhythmaModulationEngine", FakeEngine)
outputs = app.rhythma_experience(
"I want to focus on deep work",
None,
override_freq=0,
override_modulation="sine",
override_rhythm="Automatic",
duration=5,
)
assert outputs[0] == "### Clear Horizon"
assert outputs[1] == "Attentive and composed"
assert outputs[2].startswith("Attentive and composed")
assert outputs[6] == "This session narrows motion to support sustained attention."
assert outputs[7] == ""
assert captured["init_kwargs"] == {
"base_freq": 512.0,
"modulation_type": "sine",
"rhythm_pattern": "focused",
"emotional_state": None,
}
assert captured["render_profile"]["title"] == "Clear Horizon"
assert captured["render_profile"]["tone_center"] == 512.0
assert captured["render_profile"]["pattern"] == "focused"
assert captured["render_duration"] == 5
assert captured["save_duration"] == 5
assert captured["visualize_duration"] == 5
def test_generate_modulated_experience_prefers_explicit_rhythm_override_without_session_profile(monkeypatch):
app = import_app_with_gradio_stub()
captured = {}
class FakeEngine:
def __init__(self, **kwargs):
captured["init_kwargs"] = kwargs
def save_audio(self, duration, file_path):
return file_path
def visualize_waveform(self, duration):
return "plot"
def get_waveform_image(self):
return "image"
def get_complete_analysis(self):
return "legacy analysis"
def get_symbolic_interpretation(self):
return "legacy symbolic"
monkeypatch.setattr(app, "RhythmaModulationEngine", FakeEngine)
analysis = {
"emotional_state": "neutral",
"rhythm_pattern": "calm",
"transcription": "",
}
result = app.generate_modulated_experience(
analysis,
modulation_type="sine",
rhythm_pattern="focused",
duration=5,
)
assert result[0] == "legacy analysis"
assert captured["init_kwargs"]["rhythm_pattern"] == "focused"
|