feat(controller):extract model tar file&remove dataProvider Container

[goldenxinxing]

Description

• replace initContainer(dataProvider) with copy operation
• extract model when store to oss

1. build model at standalone
   
2. copy to server
   
   
3. [valid]copy this version from server to standalone(a new name 's-t')
   
4. [valid]use list
   
5. [valid]use the model of 's-t/v4' to run evaluation
   

Modules

• UI
• Controller
• Agent
• Client
• Python-SDK
• Others

Checklist

• run code format and lint check
• add unit test
• add necessary doc

[codecov]

Codecov Report

Merging #1539 (1b400c3) into main (f9cae28) will increase coverage by 0.01%.
The diff coverage is 66.66%.

@@             Coverage Diff              @@
##               main    #1539      +/-   ##
============================================
+ Coverage     82.45%   82.46%   +0.01%     
- Complexity     1844     1854      +10     
============================================
  Files           327      327              
  Lines         16236    16303      +67     
  Branches        859      870      +11     
============================================
+ Hits          13387    13445      +58     
+ Misses         2502     2499       -3     
- Partials        347      359      +12     

Flag	Coverage Δ
controller	76.28% <64.55%> (+0.07%)	⬆️
standalone	88.58% <87.50%> (-0.01%)	⬇️
unittests	88.58% <87.50%> (-0.01%)	⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
client/starwhale/core/eval/model.py	77.05% <0.00%> (-0.34%)	⬇️
client/starwhale/core/eval/view.py	70.40% <ø> (ø)
.../ai/starwhale/mlops/domain/model/ModelService.java	69.32% <40.74%> (-4.10%)	⬇️
...i/starwhale/mlops/schedule/k8s/K8sJobTemplate.java	78.94% <62.50%> (-2.75%)	⬇️
...in/java/ai/starwhale/mlops/common/TarFileUtil.java	45.78% <70.37%> (+43.99%)	⬆️
...starwhale/mlops/schedule/k8s/K8sTaskScheduler.java	78.47% <94.11%> (+1.02%)	⬆️
client/starwhale/consts/env.py	100.00% <100.00%> (ø)
client/starwhale/core/eval/executor.py	92.00% <100.00%> (+0.33%)	⬆️

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[xuchuan]

Please add unit tests for ModelService

[goldenxinxing]

Please add unit tests for ModelService

done

[tianweidut]

Others LGTM