search

OpenVoiceOS / ovos-padatious-pipeline-plugin

A neural network intent parser
http://padatious.readthedocs.io
Apache License 2.0
0 stars 0 forks source link

std lang codes #13

Closed JarbasAl closed 1 week ago

JarbasAl commented 1 week ago

Summary by CodeRabbit

coderabbitai[bot] commented 1 week ago

Walkthrough

The changes in this pull request primarily focus on improving the handling of language tags and enhancing the intent matching logic within the ovos_padatious/opm.py file. A new function, standardize_lang_tag, has been introduced to standardize language tags, which is now utilized in various methods to improve consistency. Additionally, the IntentContainer class in intent_container.py has been modified to include a delay in the training process, and the requirements.txt file has been updated to include new dependencies, ovos-utils and langcodes.

Changes

File Change Summary
ovos_padatious/opm.py - Introduced standardize_lang_tag function for language tag standardization.
- Updated _match_level, register_intent, register_entity, and calc_intent methods to use this function.
- Added _get_closest_lang method to PadatiousPipeline class.
ovos_padatious/intent_container.py - Modified train method to include a time.sleep(0.5) delay after starting the training thread.
requirements.txt - Added new dependencies: ovos-utils>=0.3.4,<1.0.0 and langcodes.
tests/test_container.py - Updated paths in setUp methods for TestFromDisk and TestIntentContainer classes to use absolute paths.
- Removed teardown method from TestIntentContainer.

Possibly related PRs

Suggested labels

refactor, packaging

Poem

🐇 In the code where rabbits play,
Language tags now find their way.
With functions new and logic bright,
Intent matching takes its flight!
Dependencies added, all in line,
Hopping forward, feeling fine! 🌟

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 - [X](https://twitter.com/intent/tweet?text=I%20just%20used%20%40coderabbitai%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20the%20proprietary%20code.%20Check%20it%20out%3A&url=https%3A//coderabbit.ai) - [Mastodon](https://mastodon.social/share?text=I%20just%20used%20%40coderabbitai%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20the%20proprietary%20code.%20Check%20it%20out%3A%20https%3A%2F%2Fcoderabbit.ai) - [Reddit](https://www.reddit.com/submit?title=Great%20tool%20for%20code%20review%20-%20CodeRabbit&text=I%20just%20used%20CodeRabbit%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20proprietary%20code.%20Check%20it%20out%3A%20https%3A//coderabbit.ai) - [LinkedIn](https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fcoderabbit.ai&mini=true&title=Great%20tool%20for%20code%20review%20-%20CodeRabbit&summary=I%20just%20used%20CodeRabbit%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20proprietary%20code)
🪧 Tips ### Chat There are 3 ways to chat with [CodeRabbit](https://coderabbit.ai): - Review comments: Directly reply to a review comment made by CodeRabbit. Example: - `I pushed a fix in commit , 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](https://docs.coderabbit.ai/guides/configure-coderabbit) 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](https://coderabbit.ai/docs) for detailed information on how to use CodeRabbit. - Join our [Discord Community](http://discord.gg/coderabbit) to get help, request features, and share feedback. - Follow us on [X/Twitter](https://twitter.com/coderabbitai) for updates and announcements.