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fetch metadata and generate a thumbnail

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deflax 2024-01-18 01:36:05 +02:00
parent 9196707c9c
commit 83848f6685
1 changed files with 27 additions and 7 deletions
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30
src/scheduler/scheduler.py
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@ -189,20 +189,40 @@ def exec_recorder(stream_id, stream_hls_url):
def on_progress(progress: Progress):
print(progress)
ffmpeg.execute()
logger_job.warning(f'Recording {video_file} finished.')
# Show Metadata
ffmpeg_metadata = (
FFmpeg(executable="ffprobe")
.input("input.mp4",
print_format="json",
show_streams=None,)
)
media = json.loads(ffmpeg_metadata.execute())
logger_job.warning(f"# Video")
logger_job.warning(f"- Codec: {media['streams'][0]['codec_name']}")
logger_job.warning(f"- Resolution: {media['streams'][0]['width']} X {media['streams'][0]['height']}")
logger_job.warning(f"- Duration: {media['streams'][0]['duration']}")
logger_job.warning(f"# Audio")
logger_job.warning(f"- Codec: {media['streams'][1]['codec_name']}")
logger_job.warning(f"- Sample Rate: {media['streams'][1]['sample_rate']}")
logger_job.warning(f"- Duration: {media['streams'][1]['duration']}")
thumb_skip_time = float(media['streams'][0]['duration']) // 2
thumb_width = media['streams'][0]['width']
# Generate thumbnail image from the recorded mp4 file
ffmpeg_thumb = (
FFmpeg()
.input(video_output)
.output(thumb_output,
{"vf": "thumbnail", "frames:v": "1"})
.input(video_output, thumb_skip_time)
.filter('scale', thumb_width, -1)
.output(thumb_output, vframes=1)
)
ffmpeg_thumb.execute()
logger_job.warning(f'Recording {video_file} finished.')
# When ready, move the recorded from the live dir to the archives and reset the rec head
os.rename(f'{video_output}', f'{rec_path}/vod/{video_file}')
os.rename(f'{thumb_output}', f'{rec_path}/thumb/{thumb_file}')
rechead = {}
# Datarhei CORE API sync