Add focus_only_on_problems setting for targeted code suggestions

[mrT23]

PR Type

enhancement, configuration changes

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Description

• Introduced a new setting focus_only_on_problems to allow targeted code suggestions focusing on critical issues.
• Updated the configuration to include focus_only_on_problems and increased max_context_tokens to 16000.
• Enhanced the suggestion generation logic to adjust labels and guidelines based on the new setting.

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Changes walkthrough 📝

	Relevant files
Enhancement	pr_code_suggestions.py Introduce focus-only-on-problems setting and label adjustment pr_agent/tools/pr_code_suggestions.py Added focus_only_on_problems setting to filter suggestions. Modified suggestion logic to change labels to 'possible issue' for critical labels. +6/-0      pr_code_suggestions_prompts.toml Conditional prompt logic for focused problem suggestions  pr_agent/settings/pr_code_suggestions_prompts.toml Added conditional logic for focus_only_on_problems in prompts. Adjusted guidelines for suggestion generation based on focus setting. +17/-2
Configuration changes	configuration.toml Update configuration with focus setting and token limit    pr_agent/settings/configuration.toml Increased max_context_tokens from 14000 to 16000. Added focus_only_on_problems setting with default false. +2/-1

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[codiumai-pr-agent-pro]

PR Reviewer Guide 🔍

Here are some key observations to aid the review process:

⏱️ Estimated effort to review: 2 🔵🔵⚪⚪⚪

🏅 Score: 92

🧪 No relevant tests

🔒 No security concerns identified

⚡ Recommended focus areas for review Logic Change The new focus_only_on_problems setting changes the behavior of suggestion generation. Ensure this doesn't negatively impact existing functionality. Prompt Modification The system prompt now includes conditional logic based on the focus_only_on_problems setting. Verify that this change produces the desired output in both cases.

[codiumai-pr-agent-pro]

PR Code Suggestions ✨

Explore these optional code suggestions:

Category	Suggestion	Score
Enhancement	Use more specific labels for critical issues to improve categorization and prioritization Consider using a more specific label than 'general' for critical issues that are not bugs or security-related. This could help in better categorizing and prioritizing the suggestions. pr_agent/settings/pr_code_suggestions_prompts.toml [86] -label: str = Field(description="A single, descriptive label that best characterizes the suggestion type. Possible labels include 'security', 'critical bug', 'general'. The 'general' section should be used for suggestions that address a major issue, but are necessarily on a critical level.") +label: str = Field(description="A single, descriptive label that best characterizes the suggestion type. Possible labels include 'security', 'critical bug', 'critical performance', 'critical design'. Use these labels for suggestions that address major issues on a critical level.") Apply this suggestion Suggestion importance[1-10]: 7 Why: This suggestion offers a meaningful improvement in categorizing and prioritizing critical issues by introducing more specific labels. It enhances the clarity and effectiveness of the labeling system for critical problems.	7
Best practice	Use constants for string literals to improve code maintainability Consider using a constant for the 'critical' label to improve maintainability and reduce the risk of typos. pr_agent/tools/pr_code_suggestions.py [456-458] CRITICAL_LABEL = 'critical' +POSSIBLE_ISSUE_LABEL = 'possible issue' if CRITICAL_LABEL in suggestion['label'].lower(): # we want the published labels to be less declarative - suggestion['label'] = 'possible issue' + suggestion['label'] = POSSIBLE_ISSUE_LABEL Apply this suggestion Suggestion importance[1-10]: 5 Why: The suggestion improves code maintainability by using constants for string literals, reducing the risk of typos and making future changes easier. However, the impact is moderate as it's a small-scale improvement.	5

• Author self-review: I have reviewed the PR code suggestions, and addressed the relevant ones.

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