Additional logging statements for AI Quick Actions operations

[VipulMascarenhas]

Description

This PR adds additional logging statements in the CRUD operations for model, deployment, finetuning and evaluation operations in AI Quick Actions. In addition to this, the PR also covers the following:

1. base_handler has been updated to log request id in the error logs.
2. use common input params validation for create evaluation and finetuning methods.

This is built on top of #1023 and will be followed up by another PR to update error handler decorator, and apply it at the aqua function level instead of handler level to capture and log aqua CLI errors as well.

Tests

> python -m pytest -q tests/unitary/with_extras/aqua/*
======================================== test session starts ========================================
platform darwin -- Python 3.9.21, pytest-7.4.4, pluggy-1.5.0
rootdir: /Users/user/workspace/git/accelerated-data-science
configfile: pytest.ini
plugins: cov-6.0.0, Faker-33.1.0, anyio-4.6.2, dash-2.18.2, xdist-3.6.1
collected 263 items

tests/unitary/with_extras/aqua/test_cli.py ............................                       [  5%]
tests/unitary/with_extras/aqua/test_common_handler.py ...                                     [  6%]
tests/unitary/with_extras/aqua/test_config.py .                                               [  6%]
tests/unitary/with_extras/aqua/test_decorator.py ..........                                   [ 10%]
tests/unitary/with_extras/aqua/test_deployment.py ......................                      [ 19%]
tests/unitary/with_extras/aqua/test_deployment_handler.py .....s......                        [ 23%]
tests/unitary/with_extras/aqua/test_evaluation.py .............................               [ 34%]
tests/unitary/with_extras/aqua/test_evaluation_handler.py ......                              [ 36%]
tests/unitary/with_extras/aqua/test_evaluation_service_config.py .....................        [ 44%]
tests/unitary/with_extras/aqua/test_finetuning.py .......                                     [ 47%]
tests/unitary/with_extras/aqua/test_finetuning_handler.py .....                               [ 49%]
tests/unitary/with_extras/aqua/test_global.py ...                                             [ 50%]
tests/unitary/with_extras/aqua/test_handlers.py .................                             [ 57%]
tests/unitary/with_extras/aqua/test_model.py .................................                [ 69%]
tests/unitary/with_extras/aqua/test_model_handler.py ....................                     [ 77%]
tests/unitary/with_extras/aqua/test_ui.py ................                                    [ 83%]
tests/unitary/with_extras/aqua/test_ui_handler.py ...............                             [ 88%]
tests/unitary/with_extras/aqua/test_ui_websocket_handler.py ....                              [ 90%]
tests/unitary/with_extras/aqua/test_utils.py ...........

================================== 262 passed, 1 skipped in 36.22s ==================================

[mrDzurb]

I'm wondering if there is some built-in solution to do this. It would be so easy to do with pydantic.

[VipulMascarenhas]

yes, the error validation here covers both dataclass and pydantic's basemodel since we use both in aqua. We can simplify this once all dataclasses are updated to use pydantic.