koordlet: fix prodReclaimablePredictor result to avoid influence of o…

[lijunxin559]

…versold

Ⅰ. Describe what this PR does

When calculating Allocatable[mid] resources, due to possible oversold, ProdReclaimableMetric will be greater than NodeAllocatable * thresholdRatio, so the calculated Allocatable[mid] value accidentally includes the oversold part. However, our previous attempts at modifying the computational model in PR #2291 were not sufficient as they would erase the role of the prodPod estimation model, resulting in the loss of the more stable mid resource characteristics after modification. Therefore, further modifications to the prodPod are needed.

Ⅱ. Does this pull request fix one issue?

Therefore, I optimized the behavior of ProdReclaimablePredictor by adjusting the values based on the node's runtime information when returning the prediction results, thereby affecting the collectMetric results. And added necessary related tests has proved that the modified calculations are reasonable.

Ⅲ. Describe how to verify it

Ⅳ. Special notes for reviews

V. Checklist

• I have written necessary docs and comments
• I have added necessary unit tests and integration tests
• All checks passed in make test

[codecov]

Codecov Report

Attention: Patch coverage is 66.66667% with 31 lines in your changes missing coverage. Please review.

Project coverage is 66.08%. Comparing base (79036cf) to head (7c9ac0b).
Report is 3 commits behind head on main.

Files with missing lines	Patch %	Lines
pkg/koordlet/prediction/peak_predictor.go	74.32%	13 Missing and 6 partials ⚠️
pkg/koordlet/metrics/resource_summary.go	0.00%	7 Missing ⚠️
.../koordlet/statesinformer/impl/states_nodemetric.go	58.33%	3 Missing and 2 partials ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #2325      +/-   ##
==========================================
- Coverage   66.09%   66.08%   -0.02%     
==========================================
  Files         458      458              
  Lines       54200    54270      +70     
==========================================
+ Hits        35823    35862      +39     
- Misses      15803    15828      +25     
- Partials     2574     2580       +6     

Flag	Coverage Δ
unittests	66.08% <66.66%> (-0.02%)	⬇️

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[saintube]

/lgtm

[saintube]

PTAL /cc @zwzhang0107 @hormes @jasonliu747