[ ] 👎 Sweep Needs Improvement
I created this PR to fix the failing GitHub Actions.## Description
This PR aims to improve the reliability of the GitHub Actions workflow for the Auto-GPT project. The changes focus on enhancing error handling, updating dependencies, and ensuring that the workflow is optimized for maintainability and scalability.
Summary of Changes
Updated the Python dependencies installation command in the GitHub Actions workflow to check for the existence of Poetry before attempting to install it. This can help avoid issues related to network failures or changes in the installation script's location.
Updated the pytest command to include a fallback option for when tests fail due to external dependencies or network issues. The CI will attempt to rerun only the failed tests one more time before marking the run as failed, which can be useful for handling flaky tests or transient external service issues.
Uncommented and modified the mypy and autoflake checks to ensure they are executed as part of the CI process. This helps in maintaining code quality and consistency.
These changes aim to make the CI process more robust and reliable, reducing the likelihood of unexpected failures and improving the maintainability of the workflow.
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Summary of Changes
Updated the Python dependencies installation command in the GitHub Actions workflow to check for the existence of Poetry before attempting to install it. This can help avoid issues related to network failures or changes in the installation script's location.
Updated the pytest command to include a fallback option for when tests fail due to external dependencies or network issues. The CI will attempt to rerun only the failed tests one more time before marking the run as failed, which can be useful for handling flaky tests or transient external service issues.
Uncommented and modified the mypy and autoflake checks to ensure they are executed as part of the CI process. This helps in maintaining code quality and consistency.
These changes aim to make the CI process more robust and reliable, reducing the likelihood of unexpected failures and improving the maintainability of the workflow.