Extract the logic to identify bug types into individual feature classes

[PromiseFru]

Resolves: #3900

[suhaibmujahid]

Thank you, @PromiseFru! Could you please modify the PR description to mention "Address part of:" instead of "Fixes:"? The scope of the issue is not limited to the performance part. Anyway, we can limit this PR to do the performance part for now.

[suhaibmujahid]

Thank you, @PromiseFru! It look good, I just have some variable name suggestions to improve the readability.

[suhaibmujahid]

Thank you! LGTM!

Could you please check the model accuracy metrics before and after the refactoring? They should be in the same range.

[PromiseFru]

Thank you! LGTM!

Could you please check the model accuracy metrics before and after the refactoring? They should be in the same range.

I cannot obtain the performance metrics similar to the situation encountered here.

Training before refactoring

2023-12-16 10:58:18,674:INFO:__main__:Training *bugtype* model
2023-12-16 10:58:41,565:INFO:bugbug.models.bugtype:7544 crash bugs
2023-12-16 10:58:41,629:INFO:bugbug.models.bugtype:560 memory bugs
2023-12-16 10:58:41,696:INFO:bugbug.models.bugtype:4730 performance bugs
2023-12-16 10:58:41,766:INFO:bugbug.models.bugtype:124 power bugs
2023-12-16 10:58:41,839:INFO:bugbug.models.bugtype:2575 security bugs
Traceback (most recent call last):
File "/home/promisefru/anaconda3/envs/bugbug/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
File "/home/promisefru/anaconda3/envs/bugbug/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
File "/home/promisefru/mozilla/bugbug/scripts/trainer.py", line 145, in <module>
    main()
File "/home/promisefru/mozilla/bugbug/scripts/trainer.py", line 141, in main
    retriever.go(args)
File "/home/promisefru/mozilla/bugbug/scripts/trainer.py", line 41, in go
    metrics = model_obj.train(limit=args.limit)
File "/home/promisefru/mozilla/bugbug/bugbug/model.py", line 377, in train
    self.le.fit(y)
File "/home/promisefru/anaconda3/envs/bugbug/lib/python3.10/site-packages/sklearn/preprocessing/_label.py", line 98, in fit
    y = column_or_1d(y, warn=True)
File "/home/promisefru/anaconda3/envs/bugbug/lib/python3.10/site-packages/sklearn/utils/validation.py", line 1156, in column_or_1d
    raise ValueError(
ValueError: y should be a 1d array, got an array of shape (198578, 5) instead.

Training after refactoring

2023-12-16 11:24:24,063:INFO:__main__:Training *bugtype* model
2023-12-16 11:24:47,247:INFO:bugbug.models.bugtype:7521 crash bugs
2023-12-16 11:24:47,293:INFO:bugbug.models.bugtype:559 memory bugs
2023-12-16 11:24:47,339:INFO:bugbug.models.bugtype:4612 performance bugs
2023-12-16 11:24:47,385:INFO:bugbug.models.bugtype:124 power bugs
2023-12-16 11:24:47,432:INFO:bugbug.models.bugtype:2575 security bugs
Traceback (most recent call last):
  File "/home/promisefru/anaconda3/envs/bugbug/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/home/promisefru/anaconda3/envs/bugbug/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/promisefru/mozilla/bugbug/scripts/trainer.py", line 145, in <module>
    main()
  File "/home/promisefru/mozilla/bugbug/scripts/trainer.py", line 141, in main
    retriever.go(args)
  File "/home/promisefru/mozilla/bugbug/scripts/trainer.py", line 41, in go
    metrics = model_obj.train(limit=args.limit)
  File "/home/promisefru/mozilla/bugbug/bugbug/model.py", line 377, in train
    self.le.fit(y)
  File "/home/promisefru/anaconda3/envs/bugbug/lib/python3.10/site-packages/sklearn/preprocessing/_label.py", line 98, in fit
    y = column_or_1d(y, warn=True)
  File "/home/promisefru/anaconda3/envs/bugbug/lib/python3.10/site-packages/sklearn/utils/validation.py", line 1156, in column_or_1d
    raise ValueError(
ValueError: y should be a 1d array, got an array of shape (198578, 5) instead.