class FeatureSuggestionTool(BaseTool):
    def __init__(self, repo_adapter, llm_agent):
        """
        Initialize the Feature Suggestion Tool.
        Args:
            repo_adapter: Database adapter for repository access.
            llm_agent: LLM instance for analyzing and generating feature suggestions.
        """
        super().__init__(
            name="Feature Suggestion Tool",
            description="Analyzes the codebase to suggest new features or enhancements."
        )
        self.repo_adapter = repo_adapter
        self.llm_agent = llm_agent

    def use(self):
        """
        Main method to run the Feature Suggestion Tool.
        Returns:
            str: Pull request link or status.
        """
        # Step 1: Analyze the codebase
        codebase_summary = self.repo_adapter.get_codebase_summary()
        
        # Step 2: Generate feature suggestions
        feature_suggestions = self.llm_agent.run(
            {
                "task": "feature_suggestions",
                "codebase_summary": codebase_summary,
            }
        )
        
        # Step 3: Write suggestions to a markdown file
        file_content = f"# Feature Suggestions\n\n{feature_suggestions}"
        branch_name = f"feature-suggestions/{int(time.time())}"
        self.repo_adapter.create_branch(branch_name)
        self.repo_adapter.write_file(
            "FEATURE_SUGGESTIONS.md", file_content, branch_name
        )

        # Step 4: Open a pull request
        return self.repo_adapter.create_pull_request(
            branch_name,
            title="Feature Suggestions",
            description="AI-generated suggestions for future features."
        )
