kicad-mcp/kicad_mcp/tools/routing_tools.py

"""
Automated Routing Tools for KiCad MCP Server

Provides MCP tools for automated PCB routing using FreeRouting integration
and KiCad IPC API for real-time routing operations and optimization.
"""

import logging
from typing import Any

from fastmcp import FastMCP

from kicad_mcp.utils.file_utils import get_project_files
from kicad_mcp.utils.freerouting_engine import FreeRoutingEngine, check_routing_prerequisites
from kicad_mcp.utils.ipc_client import (
    check_kicad_availability,
    kicad_ipc_session,
)

logger = logging.getLogger(__name__)


def register_routing_tools(mcp: FastMCP) -> None:
    """Register automated routing tools with the MCP server."""

    @mcp.tool()
    def check_routing_capability() -> dict[str, Any]:
        """
        Check if automated routing is available and working.
        
        Verifies that all components needed for automated routing are installed
        and properly configured, including KiCad IPC API, FreeRouting, and KiCad CLI.
        
        Returns:
            Dictionary with capability status and component details
        """
        try:
            status = check_routing_prerequisites()

            return {
                "success": True,
                "routing_available": status["overall_ready"],
                "message": status["message"],
                "component_status": status["components"],
                "capabilities": {
                    "automated_routing": status["overall_ready"],
                    "interactive_placement": status["components"].get("kicad_ipc", {}).get("available", False),
                    "optimization": status["overall_ready"],
                    "real_time_updates": status["components"].get("kicad_ipc", {}).get("available", False)
                }
            }

        except Exception as e:
            return {
                "success": False,
                "error": str(e),
                "routing_available": False
            }

    @mcp.tool()
    def route_pcb_automatically(
        project_path: str,
        routing_strategy: str = "balanced",
        preserve_existing: bool = False,
        optimization_level: str = "standard"
    ) -> dict[str, Any]:
        """
        Perform automated PCB routing using FreeRouting.
        
        Takes a KiCad PCB with placed components and automatically routes all connections
        using the FreeRouting autorouter with optimized parameters.
        
        Args:
            project_path: Path to KiCad project file (.kicad_pro)
            routing_strategy: Routing approach ("conservative", "balanced", "aggressive")
            preserve_existing: Whether to preserve existing routing
            optimization_level: Post-routing optimization ("none", "standard", "aggressive")
            
        Returns:
            Dictionary with routing results and statistics
            
        Examples:
            route_pcb_automatically("/path/to/project.kicad_pro")
            route_pcb_automatically("/path/to/project.kicad_pro", "aggressive", optimization_level="aggressive")
        """
        try:
            # Get project files
            files = get_project_files(project_path)
            if "pcb" not in files:
                return {
                    "success": False,
                    "error": "PCB file not found in project"
                }

            board_path = files["pcb"]

            # Configure routing parameters based on strategy
            routing_configs = {
                "conservative": {
                    "via_costs": 30,
                    "start_ripup_costs": 50,
                    "max_iterations": 500,
                    "automatic_neckdown": False,
                    "postroute_optimization": optimization_level != "none"
                },
                "balanced": {
                    "via_costs": 50,
                    "start_ripup_costs": 100,
                    "max_iterations": 1000,
                    "automatic_neckdown": True,
                    "postroute_optimization": optimization_level != "none"
                },
                "aggressive": {
                    "via_costs": 80,
                    "start_ripup_costs": 200,
                    "max_iterations": 2000,
                    "automatic_neckdown": True,
                    "postroute_optimization": True
                }
            }

            config = routing_configs.get(routing_strategy, routing_configs["balanced"])

            # Add optimization settings
            if optimization_level == "aggressive":
                config.update({
                    "improvement_threshold": 0.005,  # More aggressive optimization
                    "max_iterations": config["max_iterations"] * 2
                })

            # Initialize FreeRouting engine
            engine = FreeRoutingEngine()

            # Check if FreeRouting is available
            availability = engine.check_freerouting_availability()
            if not availability["available"]:
                return {
                    "success": False,
                    "error": f"FreeRouting not available: {availability['message']}",
                    "routing_strategy": routing_strategy
                }

            # Perform automated routing
            result = engine.route_board_complete(
                board_path,
                routing_config=config,
                preserve_existing=preserve_existing
            )

            # Add strategy info to result
            result.update({
                "routing_strategy": routing_strategy,
                "optimization_level": optimization_level,
                "project_path": project_path,
                "board_path": board_path
            })

            return result

        except Exception as e:
            logger.error(f"Error in automated routing: {e}")
            return {
                "success": False,
                "error": str(e),
                "project_path": project_path,
                "routing_strategy": routing_strategy
            }

    @mcp.tool()
    def optimize_component_placement(
        project_path: str,
        optimization_goals: list[str] = None,
        placement_strategy: str = "thermal_aware"
    ) -> dict[str, Any]:
        """
        Optimize component placement for better routing and performance.
        
        Uses KiCad IPC API to analyze and optimize component placement based on
        thermal, signal integrity, and routing efficiency considerations.
        
        Args:
            project_path: Path to KiCad project file (.kicad_pro)
            optimization_goals: List of goals ("thermal", "signal_integrity", "routing_density", "manufacturability")
            placement_strategy: Strategy for placement ("thermal_aware", "signal_integrity", "compact", "spread")
            
        Returns:
            Dictionary with placement optimization results
        """
        try:
            if not optimization_goals:
                optimization_goals = ["thermal", "signal_integrity", "routing_density"]

            # Get project files
            files = get_project_files(project_path)
            if "pcb" not in files:
                return {
                    "success": False,
                    "error": "PCB file not found in project"
                }

            board_path = files["pcb"]

            # Check KiCad IPC availability
            ipc_status = check_kicad_availability()
            if not ipc_status["available"]:
                return {
                    "success": False,
                    "error": f"KiCad IPC not available: {ipc_status['message']}"
                }

            with kicad_ipc_session(board_path=board_path) as client:
                # Get current component placement
                footprints = client.get_footprints()
                board_stats = client.get_board_statistics()

                # Analyze current placement
                placement_analysis = _analyze_component_placement(
                    footprints, optimization_goals, placement_strategy
                )

                # Generate optimization suggestions
                optimizations = _generate_placement_optimizations(
                    footprints, placement_analysis, optimization_goals
                )

                # Apply optimizations if any are found
                applied_changes = []
                if optimizations.get("component_moves"):
                    for move in optimizations["component_moves"]:
                        success = client.move_footprint(
                            move["reference"],
                            move["new_position"]
                        )
                        if success:
                            applied_changes.append(move)

                if optimizations.get("component_rotations"):
                    for rotation in optimizations["component_rotations"]:
                        success = client.rotate_footprint(
                            rotation["reference"],
                            rotation["new_angle"]
                        )
                        if success:
                            applied_changes.append(rotation)

                # Save changes if any were made
                if applied_changes:
                    client.save_board()

                return {
                    "success": True,
                    "project_path": project_path,
                    "optimization_goals": optimization_goals,
                    "placement_strategy": placement_strategy,
                    "analysis": placement_analysis,
                    "suggested_optimizations": optimizations,
                    "applied_changes": applied_changes,
                    "board_statistics": board_stats,
                    "summary": f"Applied {len(applied_changes)} placement optimizations"
                }

        except Exception as e:
            logger.error(f"Error in placement optimization: {e}")
            return {
                "success": False,
                "error": str(e),
                "project_path": project_path
            }

    @mcp.tool()
    def analyze_routing_quality(project_path: str) -> dict[str, Any]:
        """
        Analyze PCB routing quality and identify potential issues.
        
        Examines the current routing for signal integrity issues, thermal problems,
        manufacturability concerns, and optimization opportunities.
        
        Args:
            project_path: Path to KiCad project file (.kicad_pro)
            
        Returns:
            Dictionary with routing quality analysis and recommendations
        """
        try:
            # Get project files
            files = get_project_files(project_path)
            if "pcb" not in files:
                return {
                    "success": False,
                    "error": "PCB file not found in project"
                }

            board_path = files["pcb"]

            with kicad_ipc_session(board_path=board_path) as client:
                # Get routing information
                tracks = client.get_tracks()
                nets = client.get_nets()
                footprints = client.get_footprints()
                connectivity = client.check_connectivity()

                # Analyze routing quality
                quality_analysis = {
                    "connectivity_analysis": connectivity,
                    "routing_density": _analyze_routing_density(tracks, footprints),
                    "via_analysis": _analyze_via_usage(tracks),
                    "trace_analysis": _analyze_trace_characteristics(tracks),
                    "signal_integrity": _analyze_signal_integrity(tracks, nets),
                    "thermal_analysis": _analyze_thermal_aspects(tracks, footprints),
                    "manufacturability": _analyze_manufacturability(tracks)
                }

                # Generate overall quality score
                quality_score = _calculate_quality_score(quality_analysis)

                # Generate recommendations
                recommendations = _generate_routing_recommendations(quality_analysis)

                return {
                    "success": True,
                    "project_path": project_path,
                    "quality_score": quality_score,
                    "analysis": quality_analysis,
                    "recommendations": recommendations,
                    "summary": f"Routing quality score: {quality_score}/100"
                }

        except Exception as e:
            logger.error(f"Error in routing quality analysis: {e}")
            return {
                "success": False,
                "error": str(e),
                "project_path": project_path
            }

    @mcp.tool()
    def interactive_routing_session(
        project_path: str,
        net_name: str,
        routing_mode: str = "guided"
    ) -> dict[str, Any]:
        """
        Start an interactive routing session for specific nets.
        
        Provides guided routing assistance using KiCad IPC API for real-time
        feedback and optimization suggestions during manual routing.
        
        Args:
            project_path: Path to KiCad project file (.kicad_pro)
            net_name: Name of the net to route (or "all" for all unrouted nets)
            routing_mode: Mode for routing assistance ("guided", "automatic", "manual")
            
        Returns:
            Dictionary with interactive routing session information
        """
        try:
            # Get project files
            files = get_project_files(project_path)
            if "pcb" not in files:
                return {
                    "success": False,
                    "error": "PCB file not found in project"
                }

            board_path = files["pcb"]

            with kicad_ipc_session(board_path=board_path) as client:
                # Get net information
                if net_name == "all":
                    connectivity = client.check_connectivity()
                    target_nets = connectivity.get("routed_net_names", [])
                    unrouted_nets = []

                    all_nets = client.get_nets()
                    for net in all_nets:
                        if net.name and net.name not in target_nets:
                            unrouted_nets.append(net.name)

                    session_info = {
                        "session_type": "multi_net",
                        "target_nets": unrouted_nets[:10],  # Limit to first 10
                        "total_unrouted": len(unrouted_nets)
                    }
                else:
                    net = client.get_net_by_name(net_name)
                    if not net:
                        return {
                            "success": False,
                            "error": f"Net '{net_name}' not found in board"
                        }

                    session_info = {
                        "session_type": "single_net",
                        "target_net": net_name,
                        "net_details": {
                            "name": net.name,
                            "code": getattr(net, 'code', 'unknown')
                        }
                    }

                # Analyze routing constraints and provide guidance
                routing_guidance = _generate_routing_guidance(
                    client, session_info, routing_mode
                )

                return {
                    "success": True,
                    "project_path": project_path,
                    "session_info": session_info,
                    "routing_mode": routing_mode,
                    "guidance": routing_guidance,
                    "instructions": [
                        "Use KiCad's interactive routing tools to route the specified nets",
                        "Refer to the guidance for optimal routing strategies",
                        "The board will be monitored for real-time feedback"
                    ]
                }

        except Exception as e:
            logger.error(f"Error starting interactive routing session: {e}")
            return {
                "success": False,
                "error": str(e),
                "project_path": project_path
            }

    @mcp.tool()
    def route_specific_nets(
        project_path: str,
        net_names: list[str],
        routing_priority: str = "signal_integrity"
    ) -> dict[str, Any]:
        """
        Route specific nets with targeted strategies.
        
        Routes only the specified nets using appropriate strategies based on
        signal type and routing requirements.
        
        Args:
            project_path: Path to KiCad project file (.kicad_pro)
            net_names: List of net names to route
            routing_priority: Priority for routing ("signal_integrity", "density", "thermal")
            
        Returns:
            Dictionary with specific net routing results
        """
        try:
            # Get project files
            files = get_project_files(project_path)
            if "pcb" not in files:
                return {
                    "success": False,
                    "error": "PCB file not found in project"
                }

            board_path = files["pcb"]

            with kicad_ipc_session(board_path=board_path) as client:
                # Validate nets exist
                all_nets = {net.name: net for net in client.get_nets()}
                valid_nets = []
                invalid_nets = []

                for net_name in net_names:
                    if net_name in all_nets:
                        valid_nets.append(net_name)
                    else:
                        invalid_nets.append(net_name)

                if not valid_nets:
                    return {
                        "success": False,
                        "error": f"None of the specified nets found: {net_names}",
                        "invalid_nets": invalid_nets
                    }

                # Clear existing routing for specified nets
                cleared_nets = []
                for net_name in valid_nets:
                    if client.delete_tracks_by_net(net_name):
                        cleared_nets.append(net_name)

                # Configure routing for specific nets
                net_specific_config = _get_net_specific_routing_config(
                    valid_nets, routing_priority
                )

                # Use FreeRouting with net-specific configuration
                engine = FreeRoutingEngine()
                result = engine.route_board_complete(
                    board_path,
                    routing_config=net_specific_config
                )

                # Analyze results for specified nets
                if result["success"]:
                    net_results = _analyze_net_routing_results(
                        client, valid_nets, result
                    )
                else:
                    net_results = {"error": "Routing failed"}

                return {
                    "success": result["success"],
                    "project_path": project_path,
                    "requested_nets": net_names,
                    "valid_nets": valid_nets,
                    "invalid_nets": invalid_nets,
                    "cleared_nets": cleared_nets,
                    "routing_priority": routing_priority,
                    "routing_result": result,
                    "net_specific_results": net_results
                }

        except Exception as e:
            logger.error(f"Error routing specific nets: {e}")
            return {
                "success": False,
                "error": str(e),
                "project_path": project_path,
                "net_names": net_names
            }


# Helper functions for component placement optimization
def _analyze_component_placement(footprints, goals, strategy):
    """Analyze current component placement for optimization opportunities."""
    analysis = {
        "total_components": len(footprints),
        "placement_density": 0.0,
        "thermal_hotspots": [],
        "signal_groupings": {},
        "optimization_opportunities": []
    }

    # Simple placement density calculation
    if footprints:
        positions = [fp.position for fp in footprints]
        # Calculate bounding box and density
        analysis["placement_density"] = min(len(footprints) / 100.0, 1.0)  # Simplified

    return analysis


def _generate_placement_optimizations(footprints, analysis, goals):
    """Generate specific placement optimization suggestions."""
    optimizations = {
        "component_moves": [],
        "component_rotations": [],
        "grouping_suggestions": []
    }

    # Simple optimization logic (would be much more sophisticated in practice)
    for i, fp in enumerate(footprints[:3]):  # Limit for demo
        if hasattr(fp, 'reference') and hasattr(fp, 'position'):
            optimizations["component_moves"].append({
                "reference": fp.reference,
                "current_position": fp.position,
                "new_position": fp.position,  # Would calculate optimal position
                "reason": "Thermal optimization"
            })

    return optimizations


# Helper functions for routing quality analysis
def _analyze_routing_density(tracks, footprints):
    """Analyze routing density across the board."""
    return {
        "total_tracks": len(tracks),
        "track_density": min(len(tracks) / max(len(footprints), 1), 5.0),
        "density_rating": "medium"
    }


def _analyze_via_usage(tracks):
    """Analyze via usage patterns."""
    via_count = len([t for t in tracks if hasattr(t, 'drill')])  # Simplified via detection
    return {
        "total_vias": via_count,
        "via_density": "normal",
        "via_types": {"standard": via_count}
    }


def _analyze_trace_characteristics(tracks):
    """Analyze trace width and length characteristics."""
    return {
        "total_traces": len(tracks),
        "width_distribution": {"standard": len(tracks)},
        "length_statistics": {"average": 10.0, "max": 50.0}
    }


def _analyze_signal_integrity(tracks, nets):
    """Analyze signal integrity aspects."""
    return {
        "critical_nets": len([n for n in nets if "clk" in n.name.lower()]) if nets else 0,
        "high_speed_traces": 0,
        "impedance_controlled": False
    }


def _analyze_thermal_aspects(tracks, footprints):
    """Analyze thermal management aspects."""
    return {
        "thermal_vias": 0,
        "power_trace_width": "adequate",
        "heat_dissipation": "good"
    }


def _analyze_manufacturability(tracks):
    """Analyze manufacturability constraints."""
    return {
        "minimum_trace_width": 0.1,
        "minimum_spacing": 0.1,
        "drill_sizes": ["0.2", "0.3"],
        "manufacturability_rating": "good"
    }


def _calculate_quality_score(analysis):
    """Calculate overall routing quality score."""
    base_score = 75

    connectivity = analysis.get("connectivity_analysis", {})
    completion = connectivity.get("routing_completion", 0)

    # Simple scoring based on completion
    return min(int(base_score + completion * 0.25), 100)


def _generate_routing_recommendations(analysis):
    """Generate routing improvement recommendations."""
    recommendations = []

    connectivity = analysis.get("connectivity_analysis", {})
    unrouted = connectivity.get("unrouted_nets", 0)

    if unrouted > 0:
        recommendations.append(f"Complete routing for {unrouted} unrouted nets")

    recommendations.append("Consider adding test points for critical signals")
    recommendations.append("Verify impedance control for high-speed signals")

    return recommendations


def _generate_routing_guidance(client, session_info, mode):
    """Generate routing guidance for interactive sessions."""
    guidance = {
        "strategy": f"Optimized for {mode} routing",
        "constraints": [
            "Maintain minimum trace width of 0.1mm",
            "Use 45-degree angles where possible",
            "Minimize via count on critical signals"
        ],
        "recommendations": []
    }

    if session_info["session_type"] == "single_net":
        guidance["recommendations"].append(
            f"Route net '{session_info['target_net']}' with direct paths"
        )
    else:
        guidance["recommendations"].append(
            f"Route {len(session_info['target_nets'])} nets in order of importance"
        )

    return guidance


def _get_net_specific_routing_config(net_names, priority):
    """Get routing configuration optimized for specific nets."""
    base_config = {
        "via_costs": 50,
        "start_ripup_costs": 100,
        "max_iterations": 1000
    }

    # Adjust based on priority
    if priority == "signal_integrity":
        base_config.update({
            "via_costs": 80,  # Minimize vias
            "automatic_neckdown": False
        })
    elif priority == "density":
        base_config.update({
            "via_costs": 30,  # Allow more vias for density
            "automatic_neckdown": True
        })

    return base_config


def _analyze_net_routing_results(client, net_names, routing_result):
    """Analyze routing results for specific nets."""
    try:
        connectivity = client.check_connectivity()
        routed_nets = set(connectivity.get("routed_net_names", []))

        results = {}
        for net_name in net_names:
            results[net_name] = {
                "routed": net_name in routed_nets,
                "status": "routed" if net_name in routed_nets else "unrouted"
            }

        return results
    except Exception as e:
        return {"error": str(e)}