"""Phase 9: Codebase-Wide Refactoring & Optimization.

Performs a "Deep Audit" of the codebase to identify bottlenecks and vulnerabilities.
"""

import logging
import json
from typing import List, Dict, Any
from agent.gemini_adapter import GeminiAdapter

logger = logging.getLogger(__name__)

class CodeRefactorer:
    def __init__(self):
        self.adapter = GeminiAdapter()

    def audit_codebase(self, file_contents: Dict[str, str]) -> Dict[str, Any]:
        """Performs a deep audit of the provided codebase files."""
        logger.info(f"Auditing {len(file_contents)} files for refactoring and optimization.")
        
        # Combine file contents for context
        context = "\n".join([f"--- {path} ---\n{content}" for path, content in file_contents.items()])
        
        prompt = f"""
Codebase Context:
{context}

Please perform a 'Deep Audit' of this codebase.
Identify:
1. Performance bottlenecks (e.g., inefficient loops, redundant API calls).
2. Security vulnerabilities (e.g., hardcoded keys, PII leaks, insecure defaults).
3. Architectural debt (e.g., tight coupling, lack of modularity).

Generate a set of 'Refactoring Patches' to address these issues.

Format the output as JSON:
{{
  "audit_report": "...",
  "vulnerabilities": [...],
  "performance_issues": [...],
  "patches": [
    {{
      "file": "...",
      "description": "...",
      "original_code": "...",
      "replacement_code": "..."
    }}
  ]
}}
"""
        result = self.adapter.generate(
            model="gemini-3.1-pro-preview",
            prompt=prompt,
            system_instruction="You are Timmy's Code Refactorer. Your goal is to make the codebase as efficient, secure, and sovereign as possible.",
            thinking=True,
            response_mime_type="application/json"
        )
        
        audit_data = json.loads(result["text"])
        return audit_data