Run unknown dependency ingestion on bayesianApiFlow

[samuzzal-choudhury]

Description

Currently, the unknown ingestion flow on the server backbone uses bayesianFlow. Bayesian Flow is used by the ingestion process as well. So, it is highly possible that unknown dependency ingestion gets delayed because it gets added to an already heavily populated queue.

Fixes # (issue)

To use the BayesianApiFlow that ensures that the unknown dependency ingestion is added to another dedicated queue for Api level ingestions. This will ensure faster ingestion.

Type of change

• Bug fix (non-breaking change which fixes an issue)

[codecov-io]

Codecov Report

Merging #200 into master will not change coverage.
The diff coverage is 0%.

@@          Coverage Diff           @@
##           master    #200   +/-   ##
======================================
  Coverage    90.9%   90.9%           
======================================
  Files           4       4           
  Lines         902     902           
======================================
  Hits          820     820           
  Misses         82      82

Impacted Files	Coverage Δ
src/stack_aggregator.py	91.42% <0%> (ø)	⬆️

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[centos-ci]

@samuzzal-choudhury Your image is available in the registry: docker pull quay.io/openshiftio/rhel-fabric8-analytics-f8a-server-backbone:SNAPSHOT-PR-200

[yzainee-zz]

LGTM