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MPEG-2 Transport Stream Analyzer

This Python script analyzes an MPEG-2 transport stream with HE-AAC audio and H.264 video, decoding it into a circular buffer of raw audio and video. It exposes the following metrics as Prometheus metrics:

  • Average video brightness
  • Average audio amplitude (measured in both LUFS and dBFS)
  • Transport stream packet rate
  • Decode error rate
  • Amount of motion in the video buffer
  • Bitrate of the transport stream including padding packets
  • Bitrate of the transport stream excluding padding packets

Requirements

The script relies on the following Python libraries:

  • requests
  • pyav
  • numpy
  • prometheus_client

You can install these libraries using the following command:

pip install -r requirements.txt

Usage

  1. Set the environment variable VIDEO_URL to the HTTP URL of the live MPEG-2 transport stream.
export VIDEO_URL="http://example.com/path/to/your/mpeg2-ts-stream"
  1. Run the script using Python:
python mpeg2_ts_analyzer.py
  1. The script will start a Prometheus HTTP server on port 8000, which will expose the metrics. You can access the metrics at http://localhost:8000/metrics.

Metrics

The script exposes the following metrics:

  • average_video_brightness: Average video brightness (float)
  • average_audio_amplitude_lufs: Average audio amplitude in LUFS (float)
  • average_audio_amplitude_dbfs: Average audio amplitude in dBFS (float)
  • transport_stream_packet_rate: Transport stream packet rate (float)
  • decode_error_rate: Decode error rate (float)
  • motion: Amount of motion in the video buffer, normalized between 0 and 1 (float)
  • bitrate_with_padding: Bitrate of the transport stream including padding packets (float)
  • bitrate_without_padding: Bitrate of the transport stream excluding padding packets (float)

The metrics are updated in real-time as the script processes the transport stream.

Notes

This script is provided as a starting point and can be improved and optimized depending on your specific requirements.