feat: compute GCP projects parallelly

[peb-peb]

Description

• Parallelized GCP projects computation using the multiprocessing.Pool().
• Improves tool runtime from ~120s to ~40s [66 % faster]. (for 3 projects running simultaneously each with a VM running on them)

Changes Made

• scanner.py - shifted the main loop from src/gcp_scanner/scanner.py to here.
• src/gcp_scanner/scanner.py - make resource computation functions.
• src/gcp_scanner/models.py - make a ProjectInfo model to pass through each project iteration with required information for resource scanning.
• src/gcp_scanner/arguments.py - added the worker_count param to the CLI option.

Checklist

• [x] implement impersonation over discovered service accounts.
• [ ] documentation for the above changes.
• [x] update relevant tests.

Related Issues

242 #245

Additional Notes

To run the above changes - python3 scanner.py -o ../output -k ../output/sakeys -l INFO -wc 8

Screenshot for above implementation-

[mshudrak]

This is great. Thanks for the PR. I will review it closer to weekend. Could you please fix tests in meanwhile? It seems like it fails acceptance test.

[peb-peb]

@mshudrak I've transferred the main loop to scanner.main(). The tests should be passing, but the error FAILED src/gcp_scanner/test_acceptance.py::test_acceptance - AssertionError: assert 30 == 31 comes.

[peb-peb]

@mshudrak Ready for Review.

I have implemented the impersonation and it works as expected. But, the tests are still failing.

[mshudrak]

I also noticed this error when I try to work with GCP SA key

023-08-15 21:37:53 - INFO - >> current service account: <redacted>
2023-08-15 21:37:53 - INFO - Retrieving projects list
Traceback (most recent call last):
  File "/usr/lib/python3.11/multiprocessing/queues.py", line 244, in _feed
    obj = _ForkingPickler.dumps(obj)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.11/multiprocessing/reduction.py", line 51, in dumps
    cls(buf, protocol).dump(obj)
TypeError: cannot pickle '_cffi_backend.FFI' object
Traceback (most recent call last):
  File "/usr/lib/python3.11/multiprocessing/queues.py", line 244, in _feed
    obj = _ForkingPickler.dumps(obj)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.11/multiprocessing/reduction.py", line 51, in dumps
    cls(buf, protocol).dump(obj)
TypeError: cannot pickle '_cffi_backend.FFI' object