rajkumar-osmosys
commented
5 months ago @CodiumAI-Agent /review
Closed amitjoshi42 closed 3 months ago
rajkumar-osmosys
commented
5 months ago @CodiumAI-Agent /review
CodiumAI-Agent
commented
5 months ago 💡 General suggestions: The document is well-structured and covers a wide range of topics related to setting up CI/CD workflows for Python projects on GitHub. It would be beneficial to include some screenshots or diagrams to visually illustrate some of the concepts and steps. Also, consider adding links to further resources or documentation for each section to provide readers with the opportunity to dive deeper into each topic.
Utilizing extra instructionsThe `review` tool can be configured with extra instructions, which can be used to guide the model to a feedback tailored to the needs of your project. Be specific, clear, and concise in the instructions. With extra instructions, you are the prompter. Specify the relevant sub-tool, and the relevant aspects of the PR that you want to emphasize. Examples for extra instructions: ``` [pr_reviewer] # /review # extra_instructions=""" In the code feedback section, emphasize the following: - Does the code logic cover relevant edge cases? - Is the code logic clear and easy to understand? - Is the code logic efficient? ... """ ``` Use triple quotes to write multi-line instructions. Use bullet points to make the instructions more readable. |
How to enable\disable automation- When you first install PR-Agent app, the [default mode](https://github.com/Codium-ai/pr-agent/blob/main/Usage.md#github-app-automatic-tools) for the `review` tool is: ``` pr_commands = ["/review", ...] ``` meaning the `review` tool will run automatically on every PR, with the default configuration. Edit this field to enable/disable the tool, or to change the used configurations |
About the 'Code feedback' sectionThe `review` tool provides several type of feedbacks, one of them is code suggestions. If you are interested **only** in the code suggestions, it is recommended to use the [`improve`](https://github.com/Codium-ai/pr-agent/blob/main/docs/IMPROVE.md) feature instead, since it dedicated only to code suggestions, and usually gives better results. Use the `review` tool if you want to get a more comprehensive feedback, which includes code suggestions as well. |
Auto-labelsThe `review` tool can auto-generate two specific types of labels for a PR: - a `possible security issue` label, that detects possible [security issues](https://github.com/Codium-ai/pr-agent/blob/tr/user_description/pr_agent/settings/pr_reviewer_prompts.toml#L136) (`enable_review_labels_security` flag) - a `Review effort [1-5]: x` label, where x is the estimated effort to review the PR (`enable_review_labels_effort` flag) |
Extra sub-toolsThe `review` tool provides a collection of possible feedbacks about a PR. It is recommended to review the [possible options](https://github.com/Codium-ai/pr-agent/blob/main/docs/REVIEW.md#enabledisable-features), and choose the ones relevant for your use case. Some of the feature that are disabled by default are quite useful, and should be considered for enabling. For example: `require_score_review`, `require_soc2_review`, `enable_review_labels_effort`, and more. |
More PR-Agent commands> To invoke the PR-Agent, add a comment using one of the following commands: > - **/review**: Request a review of your Pull Request. > - **/describe**: Update the PR title and description based on the contents of the PR. > - **/improve [--extended]**: Suggest code improvements. Extended mode provides a higher quality feedback. > - **/ask \ |
CodiumAI-Agent
commented
5 months ago 💡 General suggestions: The document is well-structured and comprehensive, covering all the necessary aspects of setting up a CI/CD workflow for Python projects on GitHub. It's a great resource for developers. However, it would be beneficial to include some more practical examples or case studies to illustrate the concepts better.
Utilizing extra instructionsThe `review` tool can be configured with extra instructions, which can be used to guide the model to a feedback tailored to the needs of your project. Be specific, clear, and concise in the instructions. With extra instructions, you are the prompter. Specify the relevant sub-tool, and the relevant aspects of the PR that you want to emphasize. Examples for extra instructions: ``` [pr_reviewer] # /review # extra_instructions=""" In the code feedback section, emphasize the following: - Does the code logic cover relevant edge cases? - Is the code logic clear and easy to understand? - Is the code logic efficient? ... """ ``` Use triple quotes to write multi-line instructions. Use bullet points to make the instructions more readable. |
How to enable\disable automation- When you first install PR-Agent app, the [default mode](https://github.com/Codium-ai/pr-agent/blob/main/Usage.md#github-app-automatic-tools) for the `review` tool is: ``` pr_commands = ["/review", ...] ``` meaning the `review` tool will run automatically on every PR, with the default configuration. Edit this field to enable/disable the tool, or to change the used configurations |
About the 'Code feedback' sectionThe `review` tool provides several type of feedbacks, one of them is code suggestions. If you are interested **only** in the code suggestions, it is recommended to use the [`improve`](./IMPROVE.md) feature instead, since it dedicated only to code suggestions, and usually gives better results. Use the `review` tool if you want to get a more comprehensive feedback, which includes code suggestions as well. |
Auto-labelsThe `review` tool can auto-generate two specific types of labels for a PR: - a `possible security issue` label, that detects possible [security issues](https://github.com/Codium-ai/pr-agent/blob/tr/user_description/pr_agent/settings/pr_reviewer_prompts.toml#L136) (`enable_review_labels_security` flag) - a `Review effort [1-5]: x` label, where x is the estimated effort to review the PR (`enable_review_labels_effort` flag) |
Extra sub-toolsThe `review` tool provides a collection of possible feedbacks about a PR. It is recommended to review the [possible options](https://github.com/Codium-ai/pr-agent/blob/main/docs/REVIEW.md#enabledisable-features), and choose the ones relevant for your use case. Some of the feature that are disabled by default are quite useful, and should be considered for enabling. For example: `require_score_review`, `require_soc2_review`, `enable_review_labels_effort`, and more. |
More PR-Agent commands> To invoke the PR-Agent, add a comment using one of the following commands: > - **/review**: Request a review of your Pull Request. > - **/describe**: Update the PR title and description based on the contents of the PR. > - **/improve [--extended]**: Suggest code improvements. Extended mode provides a higher quality feedback. > - **/ask \ |
coderabbitai[bot]
commented
4 months ago The recent update introduces a detailed guide for implementing Continuous Integration and Continuous Deployment (CI/CD) for Python projects on GitHub. It emphasizes GitHub Actions, offering insights into workflow setup, environment configuration, dependency handling, testing, linting, problem-solving, and leveraging advanced features like matrix builds and artifacts for enhanced automation and efficiency in project development.
| File(s) | Change Summary |
|---|---|
ci-setups/.../python-github.md |
Added guidelines for setting up CI/CD for Python projects on GitHub using GitHub Actions. |
🐇✨
In the realm of code where the green checks thrive,
A guide has emerged, making CI/CD alive.
With actions so swift, through the GitHub night,
Our projects now dance in the automation light.
So here’s to the builds, may they pass without fright,
And to the diligent rabbit, who coded just 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?
Add Comprehensive Guide for Python CI/CD Setup Using GitHub Actions
This document serves as a practical reference for developers looking to integrate CI/CD practices into their Python projects using GitHub Actions.
Summary by CodeRabbit