Files
skills/tests/test_hub_voice.py
T

89 lines
4.1 KiB
Python
Raw Normal View History

from __future__ import annotations
import base64
import io
import json
import struct
import subprocess
import unittest
import wave
from hub_support import VOICE
from kvb_orchestrator import engines, settings
VOICE_PROBE = """
const V = require(process.argv[1]);
const settings = JSON.parse(process.argv[2]);
const rows = [
{class: "mayday", to: [], source: "s1", speech: "m", voice: "v"},
{class: "pan-pan", to: ["Operator"], source: "s1", speech: "p", voice: "v"},
{class: "security", to: [], source: "s2", speech: "s", voice: "v"},
{class: "direct", to: ["Operator"], source: "s2", speech: "d", voice: "v"},
{class: "direct", to: ["Docs"], source: "s3", speech: "o", voice: "v"},
{class: "broadcast", to: [], source: "s3", speech: "b", voice: "v"},
{class: "broadcast", to: [], source: "s3", speech: "", voice: "v"},
];
const filters = [
{on: false, classes: ["broadcast", "direct", "security", "pan-pan", "mayday"], muted: []},
{on: true, classes: ["mayday"], muted: ["s1"]},
{on: true, classes: ["direct", "mayday"], muted: ["s2"]},
{on: true, classes: ["broadcast", "direct", "security", "pan-pan", "mayday"], muted: []},
];
let pending = [];
for (const cls of ["broadcast", "direct", "security", "mayday", "broadcast", "pan-pan", "mayday", "direct"]) {
pending = V.enqueue(pending, {cls, text: `${cls}-${pending.length}`}, 6);
}
console.log(JSON.stringify({
tones: rows.map((row) => V.toneOf(row, "Operator")),
spoken: filters.map((filter) => rows.map((row) => V.speakable(row, filter))),
queue: pending.map((item) => item.cls),
loud: settings.map((one) => Object.fromEntries(["mayday", "review", "direct", "radio"].map((tone) => [tone, V.loudness(tone, one)]))),
frames: [V.frames(1.5, 16000, 120), V.frames(130, 16000, 120), V.frames(0, 16000, 120)],
wav: Buffer.from(V.wav(Float32Array.from([0, 0.5, -0.5, 1, -1, 2, -2]), 16000)).toString("base64"),
}));
"""
class TestVoiceModule(unittest.TestCase):
@classmethod
def setUpClass(cls):
quiet = {name: {"on": False, "volume": 0.1} for name in settings.TONES}
cls.settings = [
settings.SETTINGS,
{**settings.SETTINGS, "music": {"on": True, "volume": 1.0}, "sounds": quiet},
{**settings.SETTINGS, "sounds": {**settings.SETTINGS["sounds"], "mayday": {"on": True, "volume": 0.0}, "radio": {"on": True, "volume": 0.8}}},
]
command = ["node", "-e", VOICE_PROBE, str(VOICE), json.dumps(cls.settings)]
done = subprocess.run(command, capture_output=True, text=True, timeout=60, check=True)
cls.data = json.loads(done.stdout)
def test_urgency_picks_the_tone_and_mayday_is_never_quieter(self):
self.assertEqual(self.data["tones"], ["mayday", "mayday", "direct", "direct", "radio", "radio", "radio"])
self.assertEqual(len(self.data["loud"]), len(self.settings))
for loud in self.data["loud"]:
with self.subTest(loud=loud):
self.assertEqual(loud["mayday"], max(loud.values()))
self.assertEqual([loud["mayday"] for loud in self.data["loud"]], [0.9, 1.0, 0.8])
def test_the_radio_filter_picks_classes_and_stations(self):
self.assertEqual(self.data["spoken"], [
[False] * 7,
[True, False, False, False, False, False, False],
[True, False, False, False, True, False, False],
[True, True, True, True, True, True, False],
])
def test_the_queue_puts_alarms_first_and_drops_routine_traffic(self):
self.assertEqual(self.data["queue"], ["mayday", "mayday", "pan-pan", "security", "broadcast", "direct"])
def test_the_recording_is_encoded_as_16_khz_mono_pcm(self):
body = base64.b64decode(self.data["wav"])
self.assertEqual(engines.wav_seconds(body), 7 / engines.STT_RATE)
with wave.open(io.BytesIO(body)) as reader:
self.assertEqual((reader.getnchannels(), reader.getsampwidth(), reader.getframerate(), reader.getnframes()), (1, 2, 16000, 7))
self.assertEqual(struct.unpack("<7h", reader.readframes(7)), (0, 16383, -16384, 32767, -32768, 32767, -32768))
self.assertEqual(self.data["frames"], [24000, 16000 * 120, 0])
if __name__ == "__main__":
unittest.main()