Fix cached artifacts produced via save_artifact inside steps linkage to MCP

[avishniakov]

Describe changes

This PR fixes the linkage for the artifacts which were produced bypassing annotation of return types.

@step
def dummy()->None:
    ...
    save_artifact(important_variable, f"some_{dynamic}_name")
   ...

Before the fix the some_{dynamic}_name would not be linked in MCP version upon rerunning of the pipeline, this PR fixes this.

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

• Refactor

  • Improved efficiency in accessing model information within utility functions.
  • Enhanced artifact configuration management in step launch processes to ensure robustness.

• Tests

  • Updated integration tests to better handle model versioning and artifact linking scenarios.

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Walkthrough

The recent updates in the ZenML repository focus on refining the handling and linkage of artifacts and model configurations. This includes direct attribute access in utility functions, enhanced checks before artifact configuration creation, and streamlined testing processes for model versioning and artifact handling.

Changes

File Path	Change Summary
src/.../model/utils.py	Simplified access to model IDs and version information in utility functions.
src/.../orchestrators/step_launcher.py	Improved logic for handling artifact configurations to prevent redundancy and errors.
tests/.../model/test_model_version.py	Updated test functions for artifact linking and version tracking, removed unnecessary parameters.

Possibly related issues

• Issue [BUG]: TypeError: 'StepArtifact' object is not subscriptable #2040: Although this issue focuses on subscripting errors and evidently metrics, the changes in artifact handling might indirectly influence how artifacts are managed and could potentially impact related error scenarios.

🐰✨
Code hops through fields of green,
Changes bloom like flowers unseen.
From utils to tests, the paths we pave,
For cleaner code, we bravely crave.
Hop, hop, hop, on soft paws tread,
With every line of code we shed.
🌼📜✨

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[avishniakov]

@coderabbitai review

[gitguardian]

⚠️ GitGuardian has uncovered 1 secret following the scan of your pull request.

Please consider investigating the findings and remediating the incidents. Failure to do so may lead to compromising the associated services or software components.

🔎 Detected hardcoded secret in your pull request

GitGuardian id	GitGuardian status	Secret	Commit	Filename
10364910	Triggered	Username Password	2d4caf5	src/zenml/cli/init.py	View secret

🛠 Guidelines to remediate hardcoded secrets

1. Understand the implications of revoking this secret by investigating where it is used in your code.
2. Replace and store your secret safely. Learn here the best practices.
3. Revoke and rotate this secret.
4. If possible, rewrite git history. Rewriting git history is not a trivial act. You might completely break other contributing developers' workflow and you risk accidentally deleting legitimate data.

To avoid such incidents in the future consider

• following these best practices for managing and storing secrets including API keys and other credentials
• install secret detection on pre-commit to catch secret before it leaves your machine and ease remediation.

---

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