Enhance Stack Validation Mechanisms in MLStacks

[strickvl]

In the current MLStacks framework, the process of stack validation primarily occurs within the deploy_stack method located in src/mlstacks/utils/terraform_utils.py. While there is some validation of components through Pydantic models (found in src/mlstacks/models), there's a recognized opportunity to improve and systematize this validation further.

One specific area for improvement is the validation of stack and component compatibility during the loading of YAML files (handled by src/mlstacks/utils/yaml_utils.py). An essential validation step should ensure that the provider specified in any component file always matches the stack provider, preventing mismatches that could lead to deployment issues.

Expected Outcome

• Implement a more systematic and thorough validation process early in the stack setup phase, specifically when loading component and stack YAML files.
• Ensure that component providers match the stack provider as part of the validation process, enhancing the reliability and consistency of stack deployments.
• The enhanced validation should catch potential issues earlier, improving the user experience by providing clear feedback on configuration errors.

Steps to Implement

1. Review the current validation process within deploy_stack and identify its limitations.
2. Examine the Pydantic models used for component validation and assess how they can be extended or improved to cover more scenarios systematically.
3. Implement additional validation logic in yaml_utils.py to check for provider compatibility between stack and component configurations.
4. Ensure that the validation logic provides clear, actionable feedback to users in case of mismatches or other detected issues.
5. Test the updated validation process with various configurations to ensure it effectively catches mismatches and other common configuration errors.
6. Update documentation to reflect the improved validation process and provide guidance on configuring stacks and components correctly.

Additional Context

Improving the stack validation process in MLStacks is crucial for ensuring that users have a smooth and error-free experience when configuring and deploying their MLOps stacks. By catching potential configuration issues early, we can prevent deployment errors and enhance the overall reliability of the MLStacks framework.

Code of Conduct

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[MASisserson]

Hi! I'll take a look at this, if you don't mind.