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Skeleton Plugin for VAIS analytic system

Project description

Skeleton Plugin

Plugin skeleton V1

Flow handle job

  • Step 1: Register worker with backend (by env BACKEND_ENDPOINT) with some information (JOB_QUEUE, PLUGIN_CODE, PLUGIN_NAME, PLUGIN_DESCRIPTION, VERSION_CODE)
  • Step 2: Connect to Redis, Elastic search (via env REDIS_HOST, REDIS_PORT, ELASTICSEARCH_URL)
  • Step 3: Listen redis queue job (JOB_QUEUE)
  • Step 4: Handle job

Note: Using file for testing push job

Custom an plugin

  • Step 1: Inheritance class PluginSkeleton and overwrite function preload for load model if need (in
  • Step 2: Custom function handle_job() inside file (keep input parameters)

Check list migrate skeleton plugin

  • News footprint handle job function: handle_job(doc_index, doc_id, input_data=None, depended_jobs=None)
  • Get input data from depended jod: input_data = SamplePlugin.get_depended_jobs_output(current_job, input_data, depended_jobs)
  • Input data have new structure, so need to change the way to parse data from input data
            "data": {},
            "version_code": {}
            "data": {},
            "version_code": {}
  • Change in func push result. Now doc_index come before doc_id and need to input version code: PluginSkeleton.push_result(doc_index, doc_id, output, KeywordPlugin.VERSION_CODE)

  • output parameter in push_result func is just content in "data" field

  • "return" in an plugin now need to using this function: plugin_skeleton.PluginSkeleton.get_output_result(output, KeywordPlugin.VERSION_CODE)

  • In docker-compose.yml file need include DEPENDED_PLUGIN_CODE envs (e.g. 'asr,speech_cluster'). It's list of depended plugin code, separate with a comma

  • build lib

python sdist bdist_wheel
twine upload dist/*

Project details

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Files for vais-plug, version 0.2.3
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