Skip to content

Conversation

@MahadMuhammad
Copy link
Contributor

@MahadMuhammad MahadMuhammad commented Jan 21, 2025

  • Fixes local deployment invocation by adding implicit command line options support for two required positional arguments i.e., architecture and container_deployment
  • Refactored the local deployment check in supported languages versions retrieval.
  • Add check for config file existence in cache update.

Summary by CodeRabbit

Release Notes

  • New Features

    • Added --architecture option to the start command, allowing users to specify target architecture for function instances (x64 or arm64)
  • Improvements

    • Enhanced configuration handling in cache and config management
    • Improved robustness of configuration file access and language version detection, ensuring graceful handling of missing keys
  • Bug Fixes

    • Resolved potential configuration file access and key retrieval issues

    - Add required positional arguments — architecture option and container deployment
    - Add `local` deployment check in supported languages versions retrieval

Signed-off-by: Muhammad Mahad <[email protected]>
@coderabbitai
Copy link

coderabbitai bot commented Jan 21, 2025

Walkthrough

The pull request introduces enhancements to the SeBs (Serverless Benchmarking System) project, focusing on three key files: sebs.py, sebs/cache.py, and sebs/config.py. The changes primarily involve adding an architecture option for function deployment, improving configuration file handling, and refactoring the language version retrieval method to be more robust and flexible.

Changes

File Change Summary
sebs.py Added --architecture CLI option for start command, defaulting to "x64" with support for "x64" and "arm64" architectures.
sebs/cache.py Enhanced update_storage method to check configuration file existence before processing.
sebs/config.py Refactored supported_language_versions method to safely handle configuration dictionary access and improve error resilience.

Sequence Diagram

sequenceDiagram
    participant CLI as Command Line Interface
    participant Config as SeBSConfig
    participant Deployment as Deployment Module

    CLI->>+Config: Get supported language versions
    Config-->>-CLI: Return supported versions
    CLI->>Deployment: Start deployment
    Deployment-->>CLI: Deployment result
Loading

Poem

🐰 In the realm of serverless delight,
Architectures dance with byte and might
x64 and arm64 now take the stage
Flexibility leaps from every page
A rabbit's code, both nimble and bright! 🚀


📜 Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between ef1cd54 and 30bc590.

📒 Files selected for processing (1)
  • sebs/cache.py (1 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
  • sebs/cache.py

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 generate docstrings to generate docstrings for this PR. (Beta)
  • @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.

Copy link

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Actionable comments posted: 0

🧹 Nitpick comments (2)
sebs/config.py (1)

40-45: LGTM! The refactored code is more robust.

The changes improve error handling by using safe dictionary access methods and adding special handling for local deployment.

Consider adding type hints for better code maintainability:

    def supported_language_versions(
        self, deployment_name: str, language_name: str, architecture: str
-    ) -> List[str]:
+    ) -> List[str]:
+        languages: Dict[str, Any] = self._system_config.get(deployment_name, {}).get("languages", {})
+        base_images: Dict[str, Any] = languages.get(language_name, {}).get("base_images", {})
sebs/cache.py (1)

173-181: LGTM! Good defensive programming practice added.

The changes prevent potential file not found errors and improve code maintainability by standardizing path handling.

Consider adding a debug log message when skipping due to missing config:

        if self.ignore_storage or not os.path.exists(config_path):
+            self.logging.debug(f"Skipping storage update: ignore_storage={self.ignore_storage}, config exists={os.path.exists(config_path)}")
            return
📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 424102c and ef1cd54.

📒 Files selected for processing (3)
  • sebs.py (3 hunks)
  • sebs/cache.py (1 hunks)
  • sebs/config.py (1 hunks)
🔇 Additional comments (2)
sebs.py (2)

450-455: LGTM! Well-structured architecture option added.

The option is properly defined with a sensible default and clear choices.


474-475: Verify the hardcoded parameter values.

The hardcoded container_deployment=False and ignore_cache=False parameters might limit flexibility. Consider making these configurable if they need to vary in the future.

Run this script to check if these parameters are always false in local deployment:

Copy link
Collaborator

@mcopik mcopik left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM!

@mcopik
Copy link
Collaborator

mcopik commented Jan 23, 2025

@MahadMuhammad Thank you very much for your help, this looks great!

@mcopik mcopik merged commit 0478b79 into spcl:master Jan 23, 2025
@MahadMuhammad MahadMuhammad deleted the fix/local-invocation branch January 23, 2025 07:25
@coderabbitai coderabbitai bot mentioned this pull request Mar 26, 2025
2 tasks
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.

2 participants