[v2][adjuster] Implement ip attribute adjuster to operate on otlp data model

[mahadzaryab1]

Which problem is this PR solving?

• Towards Implement adjusters to operate on OTLP data format #6344

Description of the changes

• This PR implements the IPTag adjuster to operate on the OTLP data model. In the OTLP model, tags are dubbed as attributes so the adjuster was renamed to IPAttribute.

How was this change tested?

• Added unit tests

Checklist

• I have read https://github.com/jaegertracing/jaeger/blob/master/CONTRIBUTING_GUIDELINES.md
• I have signed all commits
• I have added unit tests for the new functionality
• I have run lint and test steps successfully
  • for jaeger: make lint test
  • for jaeger-ui: npm run lint and npm run test

[mahadzaryab1]

@yurishkuro The function in v1 looks like this

	return Func(func(trace *model.Trace) (*model.Trace, error) {
		for _, span := range trace.Spans {
			adjustTags(span.Tags)
			adjustTags(span.Process.Tags)
			model.KeyValues(span.Process.Tags).Sort()
		}
		return trace, nil
	})

Couple of questions:

• Are process tags also just part of attributes in OTLP?
• Do these attributes need to be sorted?

[yurishkuro]

• process tags are translated into Resource.attributes
• I don't think they need to be sorted here.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 96.09%. Comparing base (e98f7f5) to head (602d9c7).
Report is 2 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #6355      +/-   ##
==========================================
+ Coverage   96.07%   96.09%   +0.01%     
==========================================
  Files         359      360       +1     
  Lines       20504    20548      +44     
==========================================
+ Hits        19700    19746      +46     
+ Misses        613      611       -2     
  Partials      191      191              

Flag	Coverage Δ
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memory_v2	1.60% <ø> (ø)
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opensearch-2.x-v2	1.60% <ø> (ø)
tailsampling-processor	0.45% <ø> (ø)
unittests	94.98% <100.00%> (+0.02%)	⬆️

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