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

Search for unknown entities inside sections #798

Merged
merged 2 commits into from
Aug 6, 2024

Conversation

piitaya
Copy link
Contributor

@piitaya piitaya commented Jul 19, 2024

Description

Search for unknown entity inside sections

Motivation and Context

Sections were not included in search.

How has this been tested?

Screenshots (if appropriate):

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 not work as expected)
  • Other

Checklist

  • My code follows the code style of this project.
  • My change requires a change to the documentation.
  • I have updated the documentation accordingly.

Copy link

coderabbitai bot commented Jul 19, 2024

Walkthrough

Walkthrough

The recent updates enhance the entity extraction process by refining the async_inspect and __async_extract_entities methods. These changes enable the extraction of entities not only from cards but also from sections within dashboard views, broadening the scope of what can be captured. The overall control flow remains intact while improving functionality, ensuring comprehensive retrieval of all relevant entities.

Changes

Files Change Summary
custom_components/spook/.../unknown_entity_references.py Enhanced entity extraction to include sections along with cards and badges, introducing new methods for improved modularity and readability.

Poem

🐇 In the realm of cards and views,
Ectoplasms dance, bring forth the clues.
Sections now hold secrets deep,
Entities gathered, no longer to weep.
Hopping through code, a joyous delight,
Changes like magic, making all right! ✨


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>.
    • 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 generate interesting stats about this repository and render them as a table.
    • @coderabbitai show all the console.log statements in this repository.
    • @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 as 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.

Additionally, you can add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.

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.

@piitaya piitaya changed the title Search for unknown entity inside sections Search for unknown entities inside sections Jul 19, 2024
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

Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between 8580ec0 and 55bb570.

Files selected for processing (1)
  • custom_components/spook/ectoplasms/lovelace/repairs/unknown_entity_references.py (2 hunks)
Additional comments not posted (2)
custom_components/spook/ectoplasms/lovelace/repairs/unknown_entity_references.py (2)

Line range hint 42-72:
LGTM!

The changes to this function are approved.


Line range hint 93-110:
LGTM!

The changes to this function are approved.

@piitaya piitaya marked this pull request as draft July 19, 2024 08:05
@piitaya piitaya marked this pull request as ready for review July 19, 2024 08:10
@frenck frenck added the enhancement Enhancement of the code, not introducing new features. label Jul 19, 2024
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

Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between 55bb570 and 58f4328.

Files selected for processing (1)
  • custom_components/spook/ectoplasms/lovelace/repairs/unknown_entity_references.py (1 hunks)
Files skipped from review as they are similar to previous changes (1)
  • custom_components/spook/ectoplasms/lovelace/repairs/unknown_entity_references.py

Copy link

sonarcloud bot commented Aug 6, 2024

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

Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between 58f4328 and 078f555.

Files selected for processing (1)
  • custom_components/spook/ectoplasms/lovelace/repairs/unknown_entity_references.py (1 hunks)
Additional comments not posted (3)
custom_components/spook/ectoplasms/lovelace/repairs/unknown_entity_references.py (3)

98-99: LGTM!

The refactoring to use __async_extract_entities_from_view improves modularity and readability.


101-115: LGTM!

The new method __async_extract_entities_from_view centralizes extraction logic and adheres to the single responsibility principle, enhancing modularity and readability.


116-122: LGTM!

The new method __async_extract_entities_from_section ensures that sections are included in the entity extraction process, improving the comprehensiveness of the search feature.

Copy link
Owner

@frenck frenck left a comment

Choose a reason for hiding this comment

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

Nice! Thanks, @piitaya 🎉

../Frenck

@frenck frenck merged commit 308f4a3 into frenck:main Aug 6, 2024
6 checks passed
This pull request was closed.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement Enhancement of the code, not introducing new features.
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants