v0.6

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Release Notes v0.6

Full Changelog: v0.5...v0.6

Features

• Updated Python package dependency version numbers in pyproject.toml

• Significant improvements for media primitives such as text, images, video
  and web cameras. Now supports various different types of media URL scheme
  via DataSource and DataTarget, which are PipelineElements that are at
  head or tail of a Pipeline. The overall naming and implementation details
  are now more consistent.
  For example, use of aiko.StreamEvent.(OKAY|STOP|ERROR)

• Refactored Streams and Frames dictionary to a more robust approach using
  Python dataclasses. Now supports multiple concurrent Frames and per-Stream
  variable.

• Significant improvements for YOLO and face detection examples.
  Also introduced an Aruco Marker detector

• Added PipelineElement PE_Inspect, which writes selected output values
  to either the terminal console, log or a file

• Improved PipelineElement loading to provide proper diagnostic messages
  should there be a problem

• Improved Pipeline robustness to handle various PipelineElement exceptions
  during calls to start_stream(), frame_generator(), process_frame() and
  stop_stream()

• Pipeline output is determined by the output of the tail (last)
  PipelineElement. This also allows Pipeline output be either returned
  to a specified queue ... or to a calling parent Pipeline ... or to the
  Pipeline's standard output MQTT topic path

• S-Expressions now support both single-quoted and double-quoted strings

• S-Expressions now serialize and deserialize None and 0:, which fixed
  a problem with the PE_Metrics PipelineElement

• Improved stack trace information for easier debugging for exceptions raised
  by Actor:Message.invoke()

• ActorImpl._post_message() now supports a delay parameter for invoking
  methods in the future. Initially used to wait until remote Pipeline
  lifecycle state is ready, before invoking remote Pipeline.create_stream()

• By default, AIKO_LOG_MQTT environment variable is all, meaning that logging
  is sent to both the console and MQTT

Testing

• Aiko Services main/ and elements/media/ code testing using Python 3.13.0

• Some examples/ only work with Python 3.12.7, due to third-party
  dependencies not being updated and released for 3.13.0

  • Python package opencv-python works on Python 3.13.0
  • Python package langchain, Ollama and Llama 3.1 LLM works on Python 3.13.0
  • Python package deepface works on with Python 3.12.7, but not 3.13.0
  • Python package torch works on with Python 3.12.7, but not 3.13.0
  • Ultralytics YOLOv8 example works on Python 3.12.7, but not 3.13.0

Bug Fixes

• Fixed issues with running single process Pipelines without needing MQTT or Aiko Services Registrar. Improve main/message/mqtt.py to only raise a SystemError (and not always exit), depending upon whether an MQTT connection is required

• Removed incorrect validation diagnostic message in PipelineImpl.validate()

• Fixed issues in Pipeline.create_frame() to handle stream arguments correctly

• Corrected imports in media/text_io.py to resolve an issue with common_io.py:contains_all()

• Fixed issue with multiple data sources in image_io.py

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