我试图在AWS Lambda实例中从Python中的kinesis视频流中获取音频文件
要获取音频,我将使用以下代码片段:
def download_stream(self, streamARM, ms_start_timestamp):
tmpfile = os.path.join('/tmp', str(uuid.uuid4()) + '.mkv')
logger.debug("get_data_endpoint", tmpfile=tmpfile, streamARM=streamARM, ms_start_timestamp=ms_start_timestamp)
response = self._kinesisvideo_client.get_data_endpoint(
StreamARN=streamARM,
APIName='GET_MEDIA')
data_endpoint = response['DataEndpoint']
logger.debug("get_data_endpoint", endpoint_url=data_endpoint)
video_client = boto3.client('kinesis-video-media', endpoint_url=data_endpoint)
stream = video_client.get_media(
StreamARN=streamARM,
StartSelector={'StartSelectorType': 'EARLIEST'})
time.sleep(1)
logger.debug("stream", stream=stream)
streamingBody = stream['Payload']
# This write a mkv chunk, seems corrupted
with open(tmpfile, 'w+b') as f:
f.write(streamingBody.read())
logger.debug("recorded_file", tmpfile=tmpfile)
return True, tmpfile
要使用它,您只需在调用start streaming和stop streaming时使用Amazon connect创建的有效streamARM
,相关的Amazon connect集成如下:
在调用呼叫中心并在AWS Lambda中处理流之后,我可以得到一个文件foo.flv
。根据{
使用像MKVToolNix
、GStreamer
和vlc
这样的开源工具,我无法播放文件来收听音频,我也不知道为什么不能。如果我强制文件为wav(不解码),我会听到非常嘈杂的录制音频(信息就在那里)。解析的有效负载包含AWS标记和一些信息,mkvinfo test_03s_current.mkv
作为输出给出:
+ EBML head
|+ EBML version: 1
|+ EBML read version: 1
|+ Maximum EBML ID length: 4
|+ Maximum EBML size length: 8
|+ Document type: matroska
|+ Document type version: 2
|+ Document type read version: 2
+ Segment: size unknown
|+ Tags
| + Tag
| + Simple
| + Name: ContactId
| + String: b1e0f302-2d60-4dcf-98af-77ef3baa0b0b
|+ Tags
| + Tag
| + Simple
| + Name: InstanceId
| + String: f1f87e8c-ae31-4f00-86dd-ea630fcd9fe5
|+ Tags
| + Tag
| + Simple
| + Name: MimeType
| + String: audio/L16;rate=8000;channels=1;
|+ Tags
| + Tag
| + Simple
| + Name: AUDIO_FROM_CUSTOMER
| + String: 1
|+ Segment information
| + Segment UID: 0xc0 0x54 0x2a 0xab 0xba 0x4e 0xf8 0xf6 0xc7 0x16 0x9e 0x73 0x11 0x08 0xdb 0x04
| + Timestamp scale: 1000000
| + Title: Kinesis Video SDK
| + Multiplexing application: Kinesis Video SDK 1.0.0 JNI 2.0
| + Writing application: Kinesis Video SDK 1.0.0 JNI 2.0
|+ Tracks
| + Track
| + Track number: 1 (track ID for mkvmerge & mkvextract: 0)
| + Track UID: 1
| + Track type: audio
| + Name: AUDIO_FROM_CUSTOMER
| + Codec ID: A_AAC
| + Codec's private data: size 2
|+ Tags
| + Tag
| + Simple
| + Name: AWS_KINESISVIDEO_FRAGMENT_NUMBER
| + String: 91343852333181432392682062632260670078128844116
| + Simple
| + Name: AWS_KINESISVIDEO_SERVER_TIMESTAMP
| + String: 1603184119.798
| + Simple
| + Name: AWS_KINESISVIDEO_PRODUCER_TIMESTAMP
| + String: 1603184119.671
|+ Cluster
理论上(此GStreamer管道与带有轨道0音频的有效mkv文件一起工作)应该可以工作,因为它可以工作:
gst-launch-1.0 filesrc location=test.mkv ! queue ! matroskademux name=dmux dmux.audio_0 ! queue ! aacparse ! faad ! audioconvert ! alsasink
您可以通过以下命令使用GStreamer生成一个脉冲来测试它:gst-launch-1.0 -v audiotestsrc num-buffers=100 ! audioconvert ! voaacenc ! matroskamux ! filesink location=foo.mkv
GStreamer似乎是一个很好的候选者,因为它有一个Python的包装器,在流解析器库的this中解释了二进制格式将如何到达
使用mkvextract test_03s_current.mkv tracks 0:audio.aac
我能够生成aac文件(它检测容器格式:带有ADTS头的原始aac文件),但它也不能工作
如何解析MKV块以正确生成一个或多个AAC/WAV文件,而不使用肮脏的hack
目前没有回答
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