Update the branch with recent changes from main

[qiongL910]

This pull request introduces several enhancements and fixes across the model parsing, validation, loader, and workflow orchestration code. The most significant changes are the addition of support for resolving EDP (External Data Properties) terms in model parsing and workflows, improvements to node deletion logic in the loader, and the introduction of a new Prefect deployment for generating Pydantic models. There are also dependency updates and related test adjustments.

Model Parsing and EDP Resolution:

• Added an if_resolve_edps parameter to the ModelParser class and related workflow functions, enabling optional resolution of EDP terms using the STS service. This allows users to fetch permissible value lists when required. Documentation and usage examples have been updated accordingly. (meval/parser.py, docs/pages/modelparser-usage.md, workflows/prefect/add_uuid_to_files.py, workflows/prefect/upsert_workflow.py, workflows/prefect/validate_submission_against_db.py) [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13]

Workflow and Deployment Enhancements:

• Introduced a new Prefect deployment and flow (get_pydantic_model) that generates a Pydantic model YAML for validation from S3-stored model files, with optional EDP resolution and S3 upload of the result. (prefect.yaml, workflows/prefect/get_pydantic_model.py) [1] [2]

Loader Improvements:

• Refactored the delete_nodes_by_prop_value method to first list all labels, perform indexed lookups per label, and delete deduplicated nodes in batches, improving performance and correctness. Updated related tests to reflect the new batching and label handling logic. (meval/loader.py, tests/test_loader.py) [1] [2] [3]

Dependency and Compatibility Updates:

• Upgraded the bento-mdf dependency from version 0.13.3 to 0.13.5 in both pyproject.toml and requirements_python3.13.txt, and updated the project version to 1.2.2. (pyproject.toml, requirements_python3.13.txt) [1] [2] [3]

Minor Cleanups and Test Adjustments:

• Made minor import cleanups in meval/validator.py and updated a static UUID in a test to reflect new namespace generation logic. (meval/validator.py, tests/test_validator.py) [1] [2] [3]

These changes collectively improve the flexibility, performance, and maintainability of the codebase, especially around model parsing and data loading workflows.