lou
51 lines
1.4 KiB
Python
51 lines
1.4 KiB
Python
"""高峰值因子素材(类音乐)测限幅: 输出峰值 - 输入峰值 应等于总音量(+6dB, 未被压)。"""
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from __future__ import annotations
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import json
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import subprocess
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import time
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import urllib.request
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import wave
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import numpy as np
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RATE = 96000
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WAV = "/tmp/music_like.wav"
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API = "http://127.0.0.1:8789"
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def make() -> None:
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secs = 5.0
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n = int(RATE * secs)
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t = np.arange(n) / RATE
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x = 0.15 * np.sin(2 * np.pi * 100 * t)
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idx = np.arange(2000)
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for i in range(0, n - 2000, int(RATE * 0.5)):
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x[i:i + 2000] += 0.6 * np.sin(2 * np.pi * 3000 * idx / RATE)
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x = np.clip(x, -0.99, 0.99)
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data = (x * 32767).astype("<i2")
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with wave.open(WAV, "wb") as fh:
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fh.setnchannels(2)
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fh.setsampwidth(2)
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fh.setframerate(RATE)
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fh.writeframes(np.repeat(data, 2).tobytes())
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def main() -> None:
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make()
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p = subprocess.Popen(["pw-play", "--target", "collaplex_vsink", WAV],
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stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
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time.sleep(1.5)
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for _ in range(5):
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d = json.loads(urllib.request.urlopen(API + "/api/state", timeout=10).read())
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lv = d["levels"]
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print(" 入峰值 %6.2f | 出峰值 %6.2f | 增益 %+5.2f dB (总音量应 +6.00)" % (
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lv["in_peak"], lv["out_peak"], lv["out_peak"] - lv["in_peak"]))
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time.sleep(0.35)
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p.terminate()
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p.wait(timeout=5)
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if __name__ == "__main__":
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main()
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