"""scan code for bugs or opportunities to improve the code and generate a detailed report.

Stages:
1. analyze - Analyze
2. process - Process
3. test - Test
4. report - Report

Copyright 2025 Smart-AI-Memory
Licensed under Fair Source License 0.9
"""

import logging
from typing import Any

from attune.workflows.base import BaseWorkflow, ModelTier

logger = logging.getLogger(__name__)


class Test5Workflow(BaseWorkflow):
    """scan code for bugs or opportunities to improve the code and generate a detailed report.


    Usage:
        workflow = Test5Workflow()
        result = await workflow.execute(
            # Add parameters here
        )
    """

    name = "test5"
    description = (
        "scan code for bugs or opportunities to improve the code and generate a detailed report."
    )
    stages = ["analyze", "fix"]
    tier_map = {
        "analyze": ModelTier.CAPABLE,
        "fix": ModelTier.CAPABLE,
    }

    def __init__(
        self,
        **kwargs: Any,
    ):
        """Initialize test5 workflow.

        Args:
            **kwargs: Additional arguments passed to BaseWorkflow

        """
        super().__init__(**kwargs)
        self._crew: Any = None
        self._crew_available = False

    async def _initialize_crew(self) -> None:
        """Initialize the Refactoring Crew."""
        if self._crew is not None:
            return

        try:
            from attune_llm.agent_factory.crews.refactoring import RefactoringCrew

            self._crew = RefactoringCrew()
            self._crew_available = True
            logger.info("RefactoringCrew initialized successfully")
        except ImportError as e:
            logger.warning(f"RefactoringCrew not available: {e}")
            self._crew_available = False

    async def run_stage(
        self,
        stage_name: str,
        tier: ModelTier,
        input_data: Any,
    ) -> tuple[Any, int, int]:
        """Execute RefactoringCrew for the given stage."""
        await self._initialize_crew()

        if not self._crew_available:
            return {"error": "Crew not available"}, 0, 0

        try:
            if stage_name == "analyze":
                # Use RefactoringCrew's analyze method
                result = await self._crew.analyze(
                    code=input_data.get("code", ""), file_path=input_data.get("path", ".")
                )

                return (
                    {
                        "findings": [
                            {
                                "title": f.title,
                                "description": f.description,
                                "category": f.category.value,
                                "severity": f.severity.value,
                                "file": f.file_path,
                                "lines": f"{f.start_line}-{f.end_line}",
                            }
                            for f in result.findings
                        ],
                        "summary": f"Found {len(result.findings)} refactoring opportunities",
                    },
                    0,
                    0,
                )

            elif stage_name == "fix":
                # Apply refactorings (placeholder for now)
                return (
                    {
                        "status": "Refactoring recommendations ready",
                        "message": "Review findings from analyze stage to apply fixes",
                    },
                    0,
                    0,
                )

            else:
                return {"error": f"Unknown stage: {stage_name}"}, 0, 0

        except Exception as e:
            logger.error(f"Crew execution failed: {e}")
            return {"error": str(e)}, 0, 0
