p = pyaudio.PyAudio()
stream = p.open(format=FORMAT,
channels=CHANNELS,
rate=SAMPLE_RATE,
input=True,
input_device_index=DEVICE_INDEX,
frames_per_buffer=CHUNK)
try:
print("start ...")
while True:
# 250ms秒分のデータ読み込み
data = stream.read(CHUNK)
# numpy配列に変換
data = np.frombuffer(data, dtype="int16")
# チャンネル 2ch -> 1ch
data = data[0::2]
# サンプルレート 32000Hz -> 8000Hz
data = data[0::4]
# byteに戻す
data = data.tobytes()
# Amazon Kinesis Data Streamsへの送信
producer.send(data)
except:
stream.stop_stream()
stream.close()
p.terminate()
parser.add_argument("--short-names", action="store_true", dest="short_names", default=False, required=False,
help="Produce metric report with short names")
args = parser.parse_args()
collector = Collector(short_metrics_names=args.short_names)
if args.sample_rate:
count = int(args.number_samples)
while True:
count -= 1
# setup a loop to collect
metric = collector.collect_metrics()
producer = Producer()
metric = metric.to_json_string()
print (metric)
producer.send(metric)
if count == 0:
break
sleep(float(args.sample_rate))
else:
metric = collector.collect_metrics()
if args.max_list_size:
metric.max_list_size = int(args.max_list_size)
producer = Producer()
metric = metric.to_json_string()
print (metric)