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2, because the changes are straightforward and involve removing a specific feature and its references throughout the codebase. The logic simplification in pr_reviewer.py and the documentation updates are clear and concise.
🧪 Relevant tests
No
🔍 Possible issues
No
🔒 Security concerns
No
Code feedback:
relevant file
pr_agent/tools/pr_reviewer.py
suggestion
Consider adding a log message before removing comments to help with debugging and tracking actions performed by the tool. This can be particularly useful in scenarios where comments are unexpectedly removed or when trying to understand the sequence of events during the review process. [medium]
Ensure that the removal of remove_previous_review_comment logic does not affect any external integrations or scripts that might be relying on this feature. If there are known dependencies, consider communicating these changes to affected users or providing migration paths. [important]
relevant line
-remove_previous_review_comment=false
relevant file
Usage.md
suggestion
Update the documentation to include a section on why the remove_previous_review_comment option was removed, if applicable. This can help users understand the rationale behind the change and how it benefits the PR review process. [medium]
Given the removal of the remove_previous_review_comment feature, consider adding a note or section on best practices for managing review comments to maintain a clean and organized PR discussion thread. This could include manual cleanup or using other tools. [medium]
relevant line
-`remove_previous_review_comment`: if set to true, the tool will remove the previous review comment before adding a new one. Default is false.
✨ Review tool usage guide:
Overview:
The review tool scans the PR code changes, and generates a PR review. The tool can be triggered automatically every time a new PR is opened, or can be invoked manually by commenting on any PR.
When commenting, to edit configurations related to the review tool (pr_reviewer section), use the following template:
The 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 'possible issues' 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 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
Auto-labels
The review tool can auto-generate two specific types of labels for a PR:
a possible security issue label, that detects possible security issues (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-tools
The review tool provides a collection of possible feedbacks about a PR.
It is recommended to review the possible options, 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_ticket, and more.
Auto-approve PRs
By invoking:
/review auto_approve
The tool will automatically approve the PR, and add a comment with the approval.
To ensure safety, the auto-approval feature is disabled by default. To enable auto-approval, you need to actively set in a pre-defined configuration file the following:
[pr_reviewer]
enable_auto_approval = true
(this specific flag cannot be set with a command line argument, only in the configuration file, committed to the repository)
You can also enable auto-approval only if the PR meets certain requirements, such as that the estimated_review_effort is equal or below a certain threshold, by adjusting the flag:
[pr_reviewer]
maximal_review_effort = 5
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.
Ensure critical operations are performed even if comment publishing fails.
Consider handling the scenario where self.git_provider.publish_persistent_comment or self.git_provider.publish_comment fails. Currently, if an exception occurs in these methods, self.git_provider.remove_initial_comment and subsequent operations will not be executed. You might want to ensure that cleanup and other critical operations are performed even if publishing comments fails.
-self.git_provider.publish_persistent_comment(pr_review,-self.git_provider.publish_comment(pr_review)+try:+ self.git_provider.publish_persistent_comment(pr_review,+except Exception as e:+ get_logger().exception("Failed to publish persistent comment: {}", e)+try:+ self.git_provider.publish_comment(pr_review)+except Exception as e:+ get_logger().exception("Failed to publish comment: {}", e)
Consider adjustments to settings or mechanisms after removing remove_previous_review_comment.
After removing the remove_previous_review_comment setting, consider if there are any default behaviors or settings that should be adjusted to accommodate this change. For example, if the removal of comments was a critical part of your workflow, you might need to introduce new settings or mechanisms to handle previously addressed use cases.
-persistent_comment=true+# Consider introducing new settings or mechanisms if needed to handle use cases previously covered by `remove_previous_review_comment`.
Possible issue
Verify the change in behavior for fetching previous reviews aligns with intended functionality.
Since the method _get_previous_review_comment no longer checks the setting remove_previous_review_comment before attempting to get the previous review, ensure that this change aligns with the intended functionality. If the intention was to always attempt to get the previous review regardless of the setting, this change is correct. Otherwise, you might need to reintroduce a condition or setting that controls this behavior.
-if hasattr(self.git_provider, "get_previous_review"):+# If a condition is needed to control fetching the previous review, reintroduce it here.+if some_condition and hasattr(self.git_provider, "get_previous_review"):
Documentation
Update documentation to reflect the removal of the remove_previous_review_comment feature.
Update the documentation in Usage.md to reflect the removal of the remove_previous_review_comment feature. It's crucial to keep the documentation aligned with the codebase to avoid confusion. Since the feature is being removed, ensure that all references and explanations regarding this feature are updated or removed accordingly.
-This means that when new code is pushed to the PR, the PR-Agent will run the `describe` and `review` tools, with the specified parameters.+# Ensure to update this section to reflect the removal of `remove_previous_review_comment` and its implications on the behavior of the PR-Agent.
Remove references to the deprecated remove_previous_review_comment setting in the documentation.
Since the remove_previous_review_comment setting is being removed, ensure that all references to it in the documentation, such as in REVIEW.md, are also removed or updated. This helps in maintaining consistency and clarity in the documentation.
-# This line was removed, ensure the documentation reflects this change accurately.+# Update or remove references to `remove_previous_review_comment` in the documentation.
✨ Improve tool usage guide:
Overview:
The improve tool scans the PR code changes, and automatically generates suggestions for improving the PR code. The tool can be triggered automatically every time a new PR is opened, or can be invoked manually by commenting on a PR.
When commenting, to edit configurations related to the improve tool (pr_code_suggestions section), use the following template:
meaning the improve tool will run automatically on every PR, with summarization enabled. Delete this line to disable the tool from running automatically.
Utilizing extra instructions
Extra instructions are very important for the improve tool, since they enable to guide the model to suggestions that are more relevant to the specific needs of the project.
Be specific, clear, and concise in the instructions. With extra instructions, you are the prompter. Specify relevant aspects that you want the model to focus on.
Examples for extra instructions:
[pr_code_suggestions] # /improve #
extra_instructions="""
Emphasize the following aspects:
- 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.
A note on code suggestions quality
While the current AI for code is getting better and better (GPT-4), it's not flawless. Not all the suggestions will be perfect, and a user should not accept all of them automatically.
Suggestions are not meant to be simplistic. Instead, they aim to give deep feedback and raise questions, ideas and thoughts to the user, who can then use his judgment, experience, and understanding of the code base.
Recommended to use the 'extra_instructions' field to guide the model to suggestions that are more relevant to the specific needs of the project, or use the custom suggestions 💎 tool
With large PRs, best quality will be obtained by using 'improve --extended' mode.
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.
Add error handling for publishing comments to improve robustness.
Consider handling the case where self.git_provider.publish_persistent_comment or self.git_provider.publish_comment fails. You may want to log an error or retry the operation.
-self.git_provider.publish_persistent_comment(pr_review,-self.git_provider.publish_comment(pr_review)+try:+ self.git_provider.publish_persistent_comment(pr_review,+except Exception as e:+ get_logger().exception("Failed to publish persistent comment, error: {e}")+try:+ self.git_provider.publish_comment(pr_review)+except Exception as e:+ get_logger().exception("Failed to publish comment, error: {e}")
Suggest manual management of previous review comments in documentation.
Since the remove_previous_review_comment option has been removed, consider adding a section on how users can manually manage previous review comments if needed.
+### Managing Previous Review Comments+With the removal of the automatic previous review comment deletion feature, users may need to manually manage their review comments. Here are some tips on how to do so effectively.+
### PR Reflection
Possible issue
Verify the safety of removing initial comments.
Ensure that self.git_provider.remove_initial_comment() is necessary and correctly implemented, as removing initial comments might unintentionally delete important information.
-This means that when new code is pushed to the PR, the PR-Agent will run the `describe` and `review` tools, with the specified parameters.+This means that when new code is pushed to the PR, the PR-Agent will run the `describe` and `review` tools, with the specified parameters. Note that previous review comments will not be removed automatically.
Maintainability
Ensure application consistency after removing a configuration setting.
After removing the remove_previous_review_comment setting, ensure that all references and dependencies on this setting are also updated or removed to avoid any potential inconsistencies in the application's behavior.
persistent_comment=true
+# Ensure no leftover code relies on the now-removed `remove_previous_review_comment` setting
✨ Improve tool usage guide:
Overview:
The improve tool scans the PR code changes, and automatically generates suggestions for improving the PR code. The tool can be triggered automatically every time a new PR is opened, or can be invoked manually by commenting on a PR.
When commenting, to edit configurations related to the improve tool (pr_code_suggestions section), use the following template:
meaning the improve tool will run automatically on every PR, with summarization enabled. Delete this line to disable the tool from running automatically.
Utilizing extra instructions
Extra instructions are very important for the improve tool, since they enable to guide the model to suggestions that are more relevant to the specific needs of the project.
Be specific, clear, and concise in the instructions. With extra instructions, you are the prompter. Specify relevant aspects that you want the model to focus on.
Examples for extra instructions:
[pr_code_suggestions] # /improve #
extra_instructions="""
Emphasize the following aspects:
- 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.
A note on code suggestions quality
While the current AI for code is getting better and better (GPT-4), it's not flawless. Not all the suggestions will be perfect, and a user should not accept all of them automatically.
Suggestions are not meant to be simplistic. Instead, they aim to give deep feedback and raise questions, ideas and thoughts to the user, who can then use his judgment, experience, and understanding of the code base.
Recommended to use the 'extra_instructions' field to guide the model to suggestions that are more relevant to the specific needs of the project, or use the custom suggestions 💎 tool
With large PRs, best quality will be obtained by using 'improve --extended' mode.
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.
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
![codiumai-pr-agent-pro[bot]](https://avatars.githubusercontent.com/in/484649?s=60&v=4){kind=small}
Type
enhancement
Description
remove_previous_review_commentoption across the codebase, simplifying the PR review process.remove_previous_review_commentoption.pr_reviewer.pyfor handling PR review comments.Changes walkthrough
pr_reviewer.py
Simplify PR Review Comment Handlingpr_agent/tools/pr_reviewer.py
remove_previous_review_commentoption.comments.
Usage.md
Update Documentation for PR-Agent ConfigurationUsage.md
remove_previous_review_commentoption.REVIEW.md
Documentation Update for Review Tooldocs/REVIEW.md
remove_previous_review_commentoption inthe review tool documentation.
configuration.toml
Configuration Simplification by Removing Unused Optionpr_agent/settings/configuration.toml
remove_previous_review_commentconfiguration option.