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

documentation: new padatious options #195

Merged
merged 1 commit into from
Jan 25, 2025
Merged

documentation: new padatious options #195

merged 1 commit into from
Jan 25, 2025

Conversation

JarbasAl
Copy link
Member

@JarbasAl JarbasAl commented Jan 25, 2025

Summary by CodeRabbit

  • Configuration Updates
    • Enhanced intent processing configuration
    • Added new parameters for text normalization and intent classification
    • Improved intent matching and processing capabilities

Copy link
Contributor

coderabbitai bot commented Jan 25, 2025

Walkthrough

The pull request introduces configuration changes to mycroft.conf, specifically within the "intents" section. New parameters have been added to modify intent processing behavior, including ASCII normalization, regex matching, and intent classification strategies. These modifications aim to enhance the intent processing pipeline by introducing more precise configuration options for handling intent recognition and matching.

Changes

File Change Summary
ovos_config/mycroft.conf Added intent configuration parameters:
- cast_to_ascii: true (enables ASCII normalization)
- disable_padaos: false (allows regex exact matching)
- domain_engine: false (direct intent classification)

Poem

🐰 In the realm of configs so bright,
Intents now dance with newfound might
ASCII clean, regex precise
No domain engine, just intent's slice
Configuration's magical flight! 🌟


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

codecov bot commented Jan 25, 2025

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 0.00%. Comparing base (5cae479) to head (1bdba19).
Report is 2 commits behind head on dev.

Additional details and impacted files
@@          Coverage Diff          @@
##             dev    #195   +/-   ##
=====================================
  Coverage   0.00%   0.00%           
=====================================
  Files         10      10           
  Lines        837     837           
=====================================
  Misses       837     837           

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

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: 0

🧹 Nitpick comments (1)
ovos_config/mycroft.conf (1)

150-152: Document performance implications of direct intent classification.

Setting domain_engine to false opts for direct intent classification instead of domain-based classification. While this might be more efficient for smaller systems, consider documenting the performance trade-offs and when users should consider enabling domain-based classification.

📜 Review details

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

📥 Commits

Reviewing files that changed from the base of the PR and between d010c7d and 1bdba19.

📒 Files selected for processing (1)
  • ovos_config/mycroft.conf (1 hunks)
⏰ Context from checks skipped due to timeout of 90000ms (2)
  • GitHub Check: unit_tests (3.11)
  • GitHub Check: unit_tests (3.10)
🔇 Additional comments (3)
ovos_config/mycroft.conf (3)

147-148: LGTM! Padaos configuration provides explicit control over exact matching.

The disable_padaos parameter allows fine-tuning between exact and fuzzy matching, which is valuable for controlling intent recognition precision.


144-152: New Padatious configuration options enhance intent processing flexibility.

The new parameters provide granular control over intent processing:

  • cast_to_ascii: Normalizes text by removing punctuation
  • disable_padaos: Controls the internal regex matcher
  • domain_engine: Determines the intent classification strategy

Let's verify if any skills in the codebase rely on non-ASCII characters or diacritical marks that might be affected by the cast_to_ascii setting:

✅ Verification successful

Configuration change is safe and provides opt-in text normalization

The cast_to_ascii setting provides an optional text normalization feature that can be enabled when needed. Since it's false by default, it won't affect existing skills unless explicitly enabled. The configuration repository appropriately defines this system-wide setting that will be applied at runtime by the intent processing system.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for non-ASCII characters in intent files
echo "Searching for non-ASCII characters in intent files..."
fd -e intent -e voc -e dialog -e entity . | xargs rg -l "[^\x00-\x7F]"

Length of output: 282


Script:

#!/bin/bash
# Check content of intent and dialog files
echo "Checking content of intent and dialog files..."
# First, let's see what intent/dialog directories exist
fd -t d "intent|dialog|vocab|locale|lang" .

# Then, let's examine any language-specific files
echo -e "\nChecking language-specific files..."
fd -e json -e txt -e dialog -e intent -e voc . | grep -i "locale\|lang"

Length of output: 309


144-145: Consider language-specific implications of ASCII normalization.

While ASCII normalization can help with consistency, it might affect languages that rely on diacritical marks (e.g., Spanish, French, German). Consider making this configurable per language or documenting the implications for non-English languages.

Let's check if there are any language-specific skills that might be affected:

@JarbasAl JarbasAl merged commit b62314e into dev Jan 25, 2025
10 of 11 checks passed
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