"""
AI Design Bridge for Circuit-Synth

This module provides a bridge between circuit-synth generated circuits
and AI-powered design assistance tools for intelligent circuit design.
"""

import logging
import os
import sys
from pathlib import Path
from typing import Any, Dict, List, Optional

logger = logging.getLogger(__name__)


class AIDesignBridge:
    """
    Bridge class to integrate circuit-synth with AI-powered design tools.

    This class provides methods to:
    1. Install AI design plugins into KiCad
    2. Generate circuits with AI design assistance
    3. Provide AI-assisted design feedback and optimization
    4. Integrate with various AI design platforms
    """

    def __init__(self):
        self.plugin_path = self._get_plugin_path()
        self.kicad_plugin_dir = self._get_kicad_plugin_directory()

    def _get_plugin_path(self) -> Path:
        """Get the path to the AI design plugin directory."""
        current_dir = Path(__file__).parent
        plugin_path = current_dir.parent.parent.parent / "plugins" / "ai-design"
        return plugin_path

    def _get_kicad_plugin_directory(self) -> Optional[Path]:
        """
        Get the KiCad plugin directory for the current system.

        Returns:
            Path to KiCad plugin directory, or None if not found
        """
        if sys.platform == "darwin":  # macOS
            kicad_dirs = [
                Path.home() / "Documents" / "KiCad" / "7.0" / "scripting" / "plugins",
                Path.home()
                / "Library"
                / "Application Support"
                / "kicad"
                / "scripting"
                / "plugins",
                Path(
                    "/Applications/KiCad/KiCad.app/Contents/SharedSupport/scripting/plugins"
                ),
            ]
        elif sys.platform.startswith("linux"):  # Linux
            kicad_dirs = [
                Path.home() / ".local" / "share" / "kicad" / "scripting" / "plugins",
                Path("/usr/share/kicad/scripting/plugins"),
            ]
        elif sys.platform == "win32":  # Windows
            kicad_dirs = [
                Path.home() / "Documents" / "KiCad" / "7.0" / "scripting" / "plugins",
                Path(os.environ.get("APPDATA", "")) / "kicad" / "scripting" / "plugins",
            ]
        else:
            logger.warning(f"Unsupported platform: {sys.platform}")
            return None

        # Find the first existing directory
        for kicad_dir in kicad_dirs:
            if kicad_dir.exists():
                return kicad_dir

        # If none exist, return the first one for creation
        return kicad_dirs[0] if kicad_dirs else None

    def install_plugin(self) -> bool:
        """
        Install the AI design plugin into KiCad's plugin directory.

        Returns:
            True if installation successful, False otherwise
        """
        if not self.plugin_path.exists():
            logger.error(f"AI design plugin not found at {self.plugin_path}")
            return False

        if not self.kicad_plugin_dir:
            logger.error("Could not determine KiCad plugin directory")
            return False

        try:
            # Create KiCad plugin directory if it doesn't exist
            self.kicad_plugin_dir.mkdir(parents=True, exist_ok=True)

            # Create symlink to the AI design plugin
            target_path = self.kicad_plugin_dir / "circuit-synth-ai"

            if target_path.exists():
                logger.info("Circuit-Synth AI design plugin already installed")
                return True

            # Create symbolic link
            if sys.platform == "win32":
                # On Windows, copy the directory instead of symlinking
                import shutil

                shutil.copytree(self.plugin_path, target_path)
            else:
                target_path.symlink_to(self.plugin_path, target_is_directory=True)

            logger.info(f"Circuit-Synth AI design plugin installed to {target_path}")
            return True

        except Exception as e:
            logger.error(f"Failed to install AI design plugin: {e}")
            return False

    def is_plugin_installed(self) -> bool:
        """Check if the AI design plugin is installed in KiCad."""
        if not self.kicad_plugin_dir:
            return False

        plugin_installed_path = self.kicad_plugin_dir / "circuit-synth-ai"
        return plugin_installed_path.exists()

    def get_plugin_status(self) -> Dict[str, Any]:
        """
        Get status information about the AI design plugin integration.

        Returns:
            Dictionary with plugin status information
        """
        return {
            "plugin_path": str(self.plugin_path),
            "plugin_exists": self.plugin_path.exists(),
            "kicad_plugin_dir": (
                str(self.kicad_plugin_dir) if self.kicad_plugin_dir else None
            ),
            "plugin_installed": self.is_plugin_installed(),
            "platform": sys.platform,
        }

    def generate_circuit_with_ai_assistance(
        self, circuit_description: str, design_constraints: Optional[Dict] = None
    ) -> Dict[str, Any]:
        """
        Generate circuit-synth code with AI design assistance.

        Args:
            circuit_description: Natural language description of the circuit
            design_constraints: Optional design constraints (power, size, cost, etc.)

        Returns:
            Dictionary with circuit code and AI recommendations
        """
        # This would integrate with AI models to provide intelligent suggestions
        # for circuit generation based on the description and constraints

        design_constraints = design_constraints or {}

        ai_recommendations = {
            "suggested_components": self._get_component_suggestions(
                circuit_description
            ),
            "design_recommendations": self._get_design_recommendations(
                circuit_description, design_constraints
            ),
            "optimization_tips": self._get_optimization_tips(circuit_description),
            "alternative_approaches": self._get_alternative_approaches(
                circuit_description
            ),
        }

        # Generate template circuit code with AI guidance
        circuit_code = self._generate_ai_guided_template(
            circuit_description, ai_recommendations
        )

        return {
            "circuit_code": circuit_code,
            "ai_recommendations": ai_recommendations,
            "description": circuit_description,
            "design_constraints": design_constraints,
        }

    def _get_component_suggestions(self, description: str) -> List[Dict[str, str]]:
        """Get AI-suggested components based on circuit description."""
        # Placeholder for AI component suggestion logic
        # This would analyze the description and suggest appropriate components
        return [
            {
                "type": "microcontroller",
                "suggestion": "ESP32-C6 for wireless connectivity",
                "reasoning": "Based on description mentioning IoT/wireless features",
            },
            {
                "type": "power_management",
                "suggestion": "AMS1117-3.3 voltage regulator",
                "reasoning": "Standard 3.3V rail for digital circuits",
            },
        ]

    def _get_design_recommendations(
        self, description: str, constraints: Dict
    ) -> List[str]:
        """Get AI design recommendations based on description and constraints."""
        recommendations = [
            "Consider using hierarchical design for complex circuits",
            "Add proper decoupling capacitors near power pins",
            "Include test points for debugging",
            "Use proper grounding techniques",
        ]

        # Add constraint-specific recommendations
        if constraints.get("low_power"):
            recommendations.append("Consider low-power components and sleep modes")
        if constraints.get("cost_sensitive"):
            recommendations.append("Use standard components available on JLCPCB")
        if constraints.get("high_frequency"):
            recommendations.append(
                "Pay attention to trace impedance and length matching"
            )

        return recommendations

    def _get_optimization_tips(self, description: str) -> List[str]:
        """Get AI optimization tips for the circuit."""
        return [
            "Group related components to minimize trace lengths",
            "Use proper component placement for thermal management",
            "Consider EMI/EMC requirements early in design",
            "Plan for manufacturing and assembly constraints",
        ]

    def _get_alternative_approaches(self, description: str) -> List[str]:
        """Get alternative design approaches suggested by AI."""
        return [
            "Consider using integrated solutions vs discrete components",
            "Evaluate digital vs analog implementation approaches",
            "Consider modular design for better testability",
        ]

    def _generate_ai_guided_template(
        self, description: str, recommendations: Dict
    ) -> str:
        """Generate a circuit-synth template with AI guidance."""
        template = f'''"""
AI-Assisted Circuit Design Template
Generated by Circuit-Synth AI Design Bridge

Circuit Description: {description}

AI Design Recommendations:
{chr(10).join(f"- {rec}" for rec in recommendations.get("design_recommendations", []))}

Suggested Components:
{chr(10).join(f"- {comp['type']}: {comp['suggestion']} ({comp['reasoning']})" for comp in recommendations.get("suggested_components", []))}
"""

from circuit_synth import Circuit, Component, Net, circuit

@circuit(name="ai_assisted_circuit")
def create_circuit():
    """
    {description}
    
    This circuit template was generated with AI assistance.
    Review the recommendations above and implement accordingly.
    """
    
    # TODO: Implement circuit based on AI recommendations
    # Add components suggested by AI analysis
    # Follow design recommendations for optimal results
    
    # Example structure - customize based on your specific needs:
    # power_supply = create_power_supply()
    # main_circuit = create_main_circuit() 
    # support_circuits = create_support_circuits()
    
    pass

def create_power_supply():
    """Create power supply section based on AI recommendations."""
    # TODO: Implement power supply circuit
    pass

def create_main_circuit():
    """Create main functional circuit."""
    # TODO: Implement main circuit functionality
    pass

def create_support_circuits():
    """Create supporting circuits (protection, filtering, etc.)."""
    # TODO: Implement support circuits
    pass

if __name__ == "__main__":
    circuit = create_circuit()
    
    # Generate KiCad project with AI-optimized settings
    circuit.generate_kicad_project(
        project_name="ai_assisted_design",
        # Apply AI recommendations for project generation
    )
'''
        return template

    def analyze_existing_circuit(self, circuit_file: Path) -> Dict[str, Any]:
        """
        Analyze an existing circuit and provide AI-powered feedback.

        Args:
            circuit_file: Path to circuit file (Python or KiCad schematic)

        Returns:
            Dictionary with analysis results and improvement suggestions
        """
        if not circuit_file.exists():
            return {"error": f"Circuit file not found: {circuit_file}"}

        try:
            analysis = {
                "file_type": circuit_file.suffix,
                "analysis_date": str(Path().cwd()),
                "suggestions": [],
                "warnings": [],
                "optimizations": [],
                "compliance_check": {},
            }

            # Placeholder for circuit analysis logic
            # This would analyze the circuit and provide intelligent feedback

            analysis["suggestions"] = [
                "Consider adding more decoupling capacitors",
                "Review component placement for thermal considerations",
                "Add test points for critical signals",
            ]

            analysis["warnings"] = [
                "High-speed signals may need impedance control",
                "Power routing could be improved",
            ]

            analysis["optimizations"] = [
                "Group digital and analog sections",
                "Optimize trace routing for signal integrity",
            ]

            return analysis

        except Exception as e:
            return {"error": f"Failed to analyze circuit: {e}"}


def get_ai_design_bridge() -> AIDesignBridge:
    """Get a configured AI design bridge instance."""
    return AIDesignBridge()


def create_ai_assisted_circuit(
    description: str, constraints: Optional[Dict] = None
) -> str:
    """
    Convenience function to create an AI-assisted circuit template.

    Args:
        description: Natural language description of the desired circuit
        constraints: Optional design constraints dictionary

    Returns:
        Generated circuit template code
    """
    bridge = get_ai_design_bridge()
    result = bridge.generate_circuit_with_ai_assistance(description, constraints)
    return result["circuit_code"]
