Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add additional input checks #463

Merged
merged 3 commits into from
Oct 29, 2024
Merged

Add additional input checks #463

merged 3 commits into from
Oct 29, 2024

Conversation

jan-janssen
Copy link
Member

@jan-janssen jan-janssen commented Oct 29, 2024

Summary by CodeRabbit

  • New Features

    • Introduced enhanced validation for configuration parameters related to the pysqa backend, ensuring more robust error handling.
  • Bug Fixes

    • Improved input validation logic to prevent unsupported configurations, reducing potential errors during execution.
  • Tests

    • Added new test cases to validate the behavior of the newly introduced validation functions, ensuring they correctly handle invalid inputs.

Copy link
Contributor

coderabbitai bot commented Oct 29, 2024

Caution

Review failed

The pull request is closed.

Walkthrough

The changes introduced in this pull request enhance the validation logic within the executorlib module, specifically for the pysqa backend. New functions for validating parameters such as max_workers, max_cores, hostname_localhost, and flux_executor_pmi_mode are added to executorlib/standalone/inputcheck.py. These functions replace direct checks in the create_file_executor method of executorlib/cache/executor.py. Additionally, the __new__ method of the Executor class is updated to include validation for the pysqa_config_directory parameter. Corresponding tests are added to ensure proper functionality.

Changes

File Change Summary
executorlib/init.py Added import for check_pysqa_config_directory and integrated it into the Executor class.
executorlib/cache/executor.py Updated create_file_executor to use new validation functions instead of direct checks for errors.
executorlib/standalone/inputcheck.py Introduced new validation functions: check_max_workers_and_cores, check_hostname_localhost, check_flux_executor_pmi_mode, and check_pysqa_config_directory.
tests/test_shared_input_check.py Added test cases for new validation functions to ensure proper error handling for invalid inputs.

Possibly related PRs

  • Implement resource_dict for file executor #456: Enhances the Executor class by adding a pysqa_config_directory parameter, directly related to the validation of this parameter in the main PR.
  • Cache: create method #459: Modifies the FileExecutor class to rename the config_directory parameter to pysqa_config_directory, aligning with the validation changes made in the main PR.

🐇 In the land of code where bunnies play,
New checks hop in to brighten the day.
With validations strong and tests that gleam,
The pysqa path is now a dream!
So let’s code and validate, hop with delight,
For every new function makes our future bright! 🌟


Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

❤️ Share
🪧 Tips

Chat

There are 3 ways to chat with CodeRabbit:

  • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
    • I pushed a fix in commit <commit_id>, please review it.
    • Generate unit testing code for this file.
    • Open a follow-up GitHub issue for this discussion.
  • Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
    • @coderabbitai generate unit testing code for this file.
    • @coderabbitai modularize this function.
  • PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
    • @coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.
    • @coderabbitai read src/utils.ts and generate unit testing code.
    • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
    • @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (Invoked using PR comments)

  • @coderabbitai pause to pause the reviews on a PR.
  • @coderabbitai resume to resume the paused reviews.
  • @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
  • @coderabbitai full review to do a full review from scratch and review all the files again.
  • @coderabbitai summary to regenerate the summary of the PR.
  • @coderabbitai resolve resolve all the CodeRabbit review comments.
  • @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
  • @coderabbitai help to get help.

Other keywords and placeholders

  • Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.
  • Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
  • Add @coderabbitai anywhere in the PR title to generate the title automatically.

CodeRabbit Configuration File (.coderabbit.yaml)

  • You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
  • Please see the configuration documentation for more information.
  • If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

  • Visit our Documentation for detailed information on how to use CodeRabbit.
  • Join our Discord Community to get help, request features, and share feedback.
  • Follow us on X/Twitter for updates and announcements.

@jan-janssen jan-janssen merged commit 4ca7502 into main Oct 29, 2024
24 checks passed
@jan-janssen jan-janssen deleted the inputcheck branch October 29, 2024 10:38
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant