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

fix: improve code readability and maintainability by adding references to objects #152

Open
wants to merge 2 commits into
base: main
Choose a base branch
from

Conversation

jjjermiah
Copy link
Contributor

@jjjermiah jjjermiah commented Dec 16, 2024

Summary by CodeRabbit

  • New Features

    • Introduced error handling for missing pyvis library in graph visualization.
    • Added a new parameter for parallel processing in the ImageAutoInput class.
  • Bug Fixes

    • Enhanced error handling for missing json_path file in the ImageAutoInput class.
  • Documentation

    • Updated docstring for ImageAutoInput to include the new n_jobs parameter.
  • Style

    • Improved code formatting and clarity in the DataGraph and ImageAutoInput classes.

Copy link
Contributor

coderabbitai bot commented Dec 16, 2024

Walkthrough

The pull request introduces modifications to two files in the imgtools library. In datagraph.py, error handling is added for the pyvis library import to prevent silent failures. In ops.py, the ImageAutoInput class is enhanced with a new n_jobs parameter for parallel processing, improved error handling for file loading, and refined initialization of graph-related variables. These changes aim to improve the robustness and flexibility of the image processing tools.

Changes

File Change Summary
src/imgtools/modules/datagraph.py Added try-except block for pyvis library import in visualize_graph method
src/imgtools/ops/ops.py - Added n_jobs parameter to ImageAutoInput constructor
- Improved error handling for JSON file loading
- Updated logging statements
- Reformatted DataGraph instantiation

Sequence Diagram

sequenceDiagram
    participant User
    participant ImageAutoInput
    participant DataGraph
    participant Crawler

    User->>ImageAutoInput: Initialize with parameters
    ImageAutoInput->>Crawler: Crawl with n_jobs
    Crawler-->>ImageAutoInput: Return crawled data
    ImageAutoInput->>DataGraph: Create graph
    ImageAutoInput-->>User: Ready for processing
Loading

Poem

🐰 A Rabbit's Ode to Code Refinement 🐰

With parallel paths and error's might,
Our imgtools dance with newfound light
Pyvis imports now gracefully fall
No silent fails to heed the call
Robust and nimble, our code takes flight!

hop hop 🥕

Tip

CodeRabbit's docstrings feature is now available as part of our Early Access Program! Simply use the command @coderabbitai generate docstrings to have CodeRabbit automatically generate docstrings for your pull request.


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
Contributor

@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: 1

📜 Review details

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

📥 Commits

Reviewing files that changed from the base of the PR and between ef4d0e7 and 7151180.

⛔ Files ignored due to path filters (1)
  • pixi.lock is excluded by !**/*.lock
📒 Files selected for processing (2)
  • src/imgtools/modules/datagraph.py (1 hunks)
  • src/imgtools/ops/ops.py (3 hunks)
🧰 Additional context used
🪛 Ruff (0.8.2)
src/imgtools/ops/ops.py

159-159: Undefined name json_path

(F821)

🔇 Additional comments (5)
src/imgtools/modules/datagraph.py (1)

105-109: LGTM! Good error handling improvement.

The addition of try-except block with clear error message for the pyvis import improves the robustness of the code by preventing silent failures.

src/imgtools/ops/ops.py (4)

119-121: LGTM! Good addition of parallel processing capability.

The addition of the n_jobs parameter with clear documentation improves performance by enabling parallel processing during crawling operations. The default value of -1 follows the common pattern of utilizing all available CPU cores.

Also applies to: 152-152


142-144: LGTM! Good type annotation addition.

The explicit type annotation Dict[str, Any] for self.db improves code readability and maintainability by clearly indicating the expected type of the crawl result.


155-158: LGTM! Good addition of error handling.

The addition of explicit error handling for missing index file improves robustness and provides a clear message to users about the need to re-index the dataset.


167-174: LGTM! Good improvements to DataGraph initialization.

The changes improve code readability through better formatting and maintainability by storing the graph edges directly in self.df_edges.

Comment on lines +159 to +160
with json_path.open("r") as f:
self.db = json.load(f)
Copy link
Contributor

Choose a reason for hiding this comment

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

⚠️ Potential issue

Fix undefined variable bug.

The code uses undefined json_path instead of self.json_path which will raise a NameError.

Apply this fix:

-            with json_path.open("r") as f:
+            with self.json_path.open("r") as f:
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
with json_path.open("r") as f:
self.db = json.load(f)
with self.json_path.open("r") as f:
self.db = json.load(f)
🧰 Tools
🪛 Ruff (0.8.2)

159-159: Undefined name json_path

(F821)

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