Update KFP, Tekton and Vertex for Pydantic 2.x

safoinme commented 3 months ago

Describe changes

I implemented/fixed to achieve .

Pre-requisites

Please ensure you have done the following:

[ ] I have read the CONTRIBUTING.md document.
[ ] If my change requires a change to docs, I have updated the documentation accordingly.
[ ] I have added tests to cover my changes.
[ ] I have based my new branch on develop and the open PR is targeting develop. If your branch wasn't based on develop read Contribution guide on rebasing branch to develop.
[ ] If my changes require changes to the dashboard, these changes are communicated/requested.

Types of changes

[ ] Bug fix (non-breaking change which fixes an issue)
[ ] New feature (non-breaking change which adds functionality)
[ ] Breaking change (fix or feature that would cause existing functionality to change)
[ ] Other (add details above)

Summary by CodeRabbit

New Features
- Added support for Azure resource management through the new azure-mgmt-resource package.
- Introduced resource_settings attribute in Tekton orchestrator settings for enhanced configuration.
Improvements
- Refactored Tekton orchestrator for better performance and maintainability.
- Enhanced pipeline task configuration and environment variable management.
Bug Fixes
- Improved exception handling and validation logic in the Tekton orchestrator.

coderabbitai[bot] commented 3 months ago

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Walkthrough

The recent changes introduce a new package, azure-mgmt-resource, to the connectors-azure list in pyproject.toml. Additionally, significant updates were made to the Tekton orchestrator's implementation, including the addition of a resource_settings attribute in the TektonOrchestratorSettings class and extensive modifications to the orchestration logic in tekton_orchestrator.py.

Changes

File Path	Change Summary
`pyproject.toml`	Added the `azure-mgmt-resource` package to the `connectors-azure` list.
`.../tekton_orchestrator_flavor.py`	Added `resource_settings` attribute to `TektonOrchestratorSettings` class.
`.../tekton_orchestrator.py`	Refactored imports, updated pipeline task configuration, introduced new methods for dynamic component and pipeline creation, and enhanced logic for environment variable handling.

Sequence Diagram(s) (Beta)

sequenceDiagram
    participant User
    participant TektonOrchestrator
    participant KFPClient
    participant Compiler

    User->>TektonOrchestrator: prepare_or_run_pipeline()
    TektonOrchestrator->>TektonOrchestrator: _configure_pipeline_task()
    TektonOrchestrator->>TektonOrchestrator: _create_dynamic_component()
    TektonOrchestrator->>TektonOrchestrator: _create_dynamic_pipeline()
    TektonOrchestrator->>Compiler: compile(pipeline)
    Compiler-->>TektonOrchestrator: compiled_pipeline
    TektonOrchestrator->>KFPClient: create_run(compiled_pipeline)
    KFPClient-->>TektonOrchestrator: run_id
    TektonOrchestrator-->>User: run_id

Poem

In the code where changes bloom,
Azure's package finds its room.
Tekton's tasks now freshly spun,
Resource settings, new methods begun.
Pipelines dance in dynamic flight,
Orchestrator's future, looking bright.
🌟✨🐇

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safoinme commented 3 months ago

@coderabbitai review

coderabbitai[bot] commented 3 months ago

Actions Performed

Review triggered. > Note: CodeRabbit is an incremental review system and does not re-review already reviewed commits. This command is applicable only when automatic reviews are paused.

github-actions[bot] commented 3 months ago

LLM Finetuning template updates in examples/llm_finetuning have been pushed.

zenml-io / zenml