1 files changed, 79 insertions, 0 deletions
diff --git a/mmi2grpc/_audio.py b/mmi2grpc/_audio.py
new file mode 100644
index 0000000..92e06df
--- /dev/null
+++ b/mmi2grpc/_audio.py
@@ -0,0 +1,79 @@
+import itertools
+import math
+import os
+from threading import Thread
+
+import numpy as np
+from scipy.io import wavfile
+
+
+def _fixup_wav_header(path):
+    WAV_RIFF_SIZE_OFFSET = 4
+    WAV_DATA_SIZE_OFFSET = 40
+
+    with open(path, 'r+b') as f:
+        f.seek(0, os.SEEK_END)
+        file_size = f.tell()
+        for offset in [WAV_RIFF_SIZE_OFFSET, WAV_DATA_SIZE_OFFSET]:
+            size = file_size - offset - 4
+            f.seek(offset)
+            f.write(size.to_bytes(4, byteorder='little'))
+
+
+SINE_FREQUENCY = 440
+SINE_DURATION = 0.1
+
+WAV_FILE = "/tmp/audiodata"
+
+
+class AudioSignal:
+    def __init__(self, transport, amplitude, fs):
+        self.transport = transport
+        self.amplitude = amplitude
+        self.fs = fs
+        self.thread = None
+
+    def start(self):
+        self.thread = Thread(target=self._run)
+        self.thread.start()
+
+    def _run(self):
+        sine = self._generate_sine(SINE_FREQUENCY, SINE_DURATION)
+
+        # Interleaved audio
+        stereo = np.zeros(sine.size * 2, dtype=sine.dtype)
+        stereo[0::2] = sine
+
+        # Send 4 second of audio
+        audio = itertools.repeat(stereo.tobytes(), int(4 / SINE_DURATION))
+
+        self.transport(audio)
+
+    def _generate_sine(self, f, duration):
+        sine = self.amplitude * \
+            np.sin(2 * np.pi * np.arange(self.fs * duration) * (f / self.fs))
+        s16le = (sine * 32767).astype("<i2")
+        return s16le
+
+    def verify(self):
+        assert self.thread is not None
+        self.thread.join()
+        self.thread = None
+
+        _fixup_wav_header(WAV_FILE)
+
+        samplerate, data = wavfile.read(WAV_FILE)
+        # Take one second of audio after the first second
+        audio = data[samplerate:samplerate*2, 0].astype(np.float) / 32767
+        assert(len(audio) == samplerate)
+
+        spectrum = np.abs(np.fft.fft(audio))
+        frequency = np.fft.fftfreq(samplerate, d=1/samplerate)
+        amplitudes = spectrum / (samplerate/2)
+        index = np.where(frequency == SINE_FREQUENCY)
+        amplitude = amplitudes[index][0]
+
+        match_amplitude = math.isclose(
+            amplitude, self.amplitude, rel_tol=1e-03)
+
+        return match_amplitude