fix(user_tools): replace deprecated prop containers

[WilliamK112]

Description

Replace the remaining in-memory JSONPropertiesContainer usages in Dataproc and cluster inference with AbstractPropContainer, removing the runtime DeprecationWarning while preserving existing property access and JSON-string handling.

The migration now covers:

• inferred cluster properties
• Dataproc master and worker node properties
• Dataproc pricing configuration
• Dataproc instance descriptions

Regression coverage exercises all four paths, verifies the new container type and existing outputs, and confirms that the deprecated-container warning is not emitted.

Fixes #1898.

Tests

• PYTHONPATH=src .venv/bin/python -m pytest -q tests/spark_rapids_tools_ut/test_deprecated_prop_container.py (4 passed)
• .venv/bin/python -m pylint -d fixme --load-plugins pylint_pydantic --rcfile=../.pylintrc src/spark_rapids_pytools/cloud_api/dataproc.py src/spark_rapids_pytools/common/cluster_inference.py tests/spark_rapids_tools_ut/test_deprecated_prop_container.py (10.00/10)
• .venv/bin/python -m flake8 src/spark_rapids_pytools/cloud_api/dataproc.py src/spark_rapids_pytools/common/cluster_inference.py tests/spark_rapids_tools_ut/test_deprecated_prop_container.py
• .venv/bin/python -m py_compile src/spark_rapids_pytools/cloud_api/dataproc.py src/spark_rapids_pytools/common/cluster_inference.py tests/spark_rapids_tools_ut/test_deprecated_prop_container.py
• git diff --check upstream/dev...HEAD

[greptile-apps]

Confidence Score: 5/5

The PR appears safe to merge with no actionable correctness, security, or repository-rule issues identified.

Summary

• Adds explicit parsing for JSON-string inputs before constructing AbstractPropContainer.
• Migrates inferred clusters, Dataproc node properties, pricing configuration, and instance descriptions.
• Adds regression coverage for container types, existing outputs, and suppression of the targeted deprecation warning.

[parthosa]

One JSON string path still needs to be handled. generate_cluster_configuration() returns a rendered JSON string, while AbstractPropContainer stores it without parsing. This causes cluster inference to fail with string indices must be integers (same reason as premerge failure).

Could you parse cluster_conf before constructing AbstractPropContainer? The test should also have generate_cluster_configuration() return json.dumps instead of the dictionary

[WilliamK112]

Addressed in 1a91b80. ClusterInference.infer_cluster() now parses the rendered JSON string with json.loads() before constructing AbstractPropContainer. The regression test now has generate_cluster_configuration() return json.dumps(...) and asserts that nested inferred-cluster values remain accessible.

Validation:

• PYTHONPATH=src .venv/bin/python -m pytest -q tests/spark_rapids_tools_ut/test_deprecated_prop_container.py (4 passed)
• Pylint on both modified files (10.00/10)
• Flake8 on both modified files
• git diff --check