Ryan Malloy
bc0f3db97c
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Add intelligent analysis and recommendation tools for KiCad designs: ## New AI Tools (kicad_mcp/tools/ai_tools.py) - suggest_components_for_circuit: Smart component suggestions based on circuit analysis - recommend_design_rules: Automated design rule recommendations for different technologies - optimize_pcb_layout: PCB layout optimization for signal integrity, thermal, and cost - analyze_design_completeness: Comprehensive design completeness analysis ## Enhanced Utilities - component_utils.py: Add ComponentType enum and component classification functions - pattern_recognition.py: Enhanced circuit pattern analysis and recommendations - netlist_parser.py: Implement missing parse_netlist_file function for AI tools ## Key Features - Circuit pattern recognition for power supplies, amplifiers, microcontrollers - Technology-specific design rules (standard, HDI, RF, automotive) - Layout optimization suggestions with implementation steps - Component suggestion system with standard values and examples - Design completeness scoring with actionable recommendations ## Server Integration - Register AI tools in FastMCP server - Integrate with existing KiCad utilities and file parsers - Error handling and graceful fallbacks for missing data Fixes ImportError that prevented server startup and enables advanced AI-powered design assistance for KiCad projects. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
336 lines
13 KiB
Python
336 lines
13 KiB
Python
"""
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3D Model Analysis Tools for KiCad MCP Server.
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Provides MCP tools for analyzing 3D models, mechanical constraints,
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and visualization data from KiCad PCB files.
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"""
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import json
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from typing import Any
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from fastmcp import FastMCP
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from kicad_mcp.utils.model3d_analyzer import (
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Model3DAnalyzer,
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analyze_pcb_3d_models,
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get_mechanical_constraints,
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)
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from kicad_mcp.utils.path_validator import validate_kicad_file
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def register_model3d_tools(mcp: FastMCP) -> None:
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"""Register 3D model analysis tools with the MCP server."""
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@mcp.tool()
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def analyze_3d_models(pcb_file_path: str) -> dict[str, Any]:
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"""
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Analyze 3D models and mechanical aspects of a KiCad PCB file.
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Extracts 3D component information, board dimensions, clearance violations,
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and generates data suitable for 3D visualization.
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Args:
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pcb_file_path: Full path to the .kicad_pcb file to analyze
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Returns:
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Dictionary containing 3D analysis results including:
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- board_dimensions: Physical board size and outline
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- components: List of 3D components with positions and models
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- height_analysis: Component height statistics
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- clearance_violations: Detected mechanical issues
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- stats: Summary statistics
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Examples:
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analyze_3d_models("/path/to/my_board.kicad_pcb")
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analyze_3d_models("~/kicad_projects/robot_controller/robot.kicad_pcb")
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"""
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try:
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# Validate the PCB file path
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validated_path = validate_kicad_file(pcb_file_path, "pcb")
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# Perform 3D analysis
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result = analyze_pcb_3d_models(validated_path)
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return {
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"success": True,
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"pcb_file": validated_path,
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"analysis": result
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}
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except Exception as e:
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return {
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"success": False,
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"error": str(e),
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"pcb_file": pcb_file_path
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}
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@mcp.tool()
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def check_mechanical_constraints(pcb_file_path: str) -> dict[str, Any]:
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"""
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Check mechanical constraints and clearances in a KiCad PCB.
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Performs comprehensive mechanical analysis including component clearances,
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board edge distances, height constraints, and identifies potential
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manufacturing or assembly issues.
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Args:
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pcb_file_path: Path to the .kicad_pcb file to analyze
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Returns:
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Dictionary containing mechanical analysis results:
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- constraints: List of constraint violations
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- clearance_violations: Detailed clearance issues
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- board_dimensions: Physical board properties
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- recommendations: Suggested improvements
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"""
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try:
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validated_path = validate_kicad_file(pcb_file_path, "pcb")
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# Perform mechanical analysis
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analysis = get_mechanical_constraints(validated_path)
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# Generate recommendations
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recommendations = []
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if analysis.height_analysis["max"] > 5.0:
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recommendations.append("Consider using lower profile components to reduce board height")
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if len(analysis.clearance_violations) > 0:
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recommendations.append("Review component placement to resolve clearance violations")
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if analysis.board_dimensions.width > 80 or analysis.board_dimensions.height > 80:
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recommendations.append("Large board size may increase manufacturing costs")
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return {
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"success": True,
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"pcb_file": validated_path,
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"constraints": analysis.mechanical_constraints,
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"clearance_violations": [
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{
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"type": v["type"],
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"components": [v.get("component1", ""), v.get("component2", ""), v.get("component", "")],
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"distance": v["distance"],
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"required": v["required_clearance"],
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"severity": v["severity"]
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}
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for v in analysis.clearance_violations
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],
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"board_dimensions": {
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"width_mm": analysis.board_dimensions.width,
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"height_mm": analysis.board_dimensions.height,
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"thickness_mm": analysis.board_dimensions.thickness,
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"area_mm2": analysis.board_dimensions.width * analysis.board_dimensions.height
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},
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"height_analysis": analysis.height_analysis,
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"recommendations": recommendations,
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"component_count": len(analysis.components)
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}
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except Exception as e:
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return {
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"success": False,
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"error": str(e),
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"pcb_file": pcb_file_path
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}
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@mcp.tool()
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def generate_3d_visualization_json(pcb_file_path: str, output_path: str = None) -> dict[str, Any]:
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"""
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Generate JSON data file for 3D visualization of PCB.
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Creates a structured JSON file containing all necessary data for
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3D visualization tools, including component positions, board outline,
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and model references.
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Args:
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pcb_file_path: Path to the .kicad_pcb file
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output_path: Optional path for output JSON file (defaults to same dir as PCB)
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Returns:
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Dictionary with generation results and file path
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"""
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try:
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validated_path = validate_kicad_file(pcb_file_path, "pcb")
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# Generate visualization data
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viz_data = analyze_pcb_3d_models(validated_path)
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# Determine output path
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if not output_path:
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output_path = validated_path.replace('.kicad_pcb', '_3d_viz.json')
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# Save visualization data
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with open(output_path, 'w', encoding='utf-8') as f:
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json.dump(viz_data, f, indent=2)
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return {
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"success": True,
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"pcb_file": validated_path,
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"output_file": output_path,
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"component_count": viz_data.get("stats", {}).get("total_components", 0),
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"models_found": viz_data.get("stats", {}).get("components_with_3d_models", 0),
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"board_size": f"{viz_data.get('board_dimensions', {}).get('width', 0):.1f}x{viz_data.get('board_dimensions', {}).get('height', 0):.1f}mm"
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}
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except Exception as e:
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return {
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"success": False,
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"error": str(e),
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"pcb_file": pcb_file_path
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}
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@mcp.tool()
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def component_height_distribution(pcb_file_path: str) -> dict[str, Any]:
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"""
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Analyze the height distribution of components on a PCB.
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Provides detailed analysis of component heights, useful for
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determining enclosure requirements and assembly considerations.
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Args:
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pcb_file_path: Path to the .kicad_pcb file
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Returns:
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Height distribution analysis with statistics and component breakdown
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"""
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try:
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validated_path = validate_kicad_file(pcb_file_path, "pcb")
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analyzer = Model3DAnalyzer(validated_path)
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components = analyzer.extract_3d_components()
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height_analysis = analyzer.analyze_component_heights(components)
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# Categorize components by height
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height_categories = {
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"very_low": [], # < 1mm
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"low": [], # 1-2mm
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"medium": [], # 2-5mm
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"high": [], # 5-10mm
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"very_high": [] # > 10mm
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}
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for comp in components:
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height = analyzer._estimate_component_height(comp)
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if height < 1.0:
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height_categories["very_low"].append((comp.reference, height))
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elif height < 2.0:
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height_categories["low"].append((comp.reference, height))
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elif height < 5.0:
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height_categories["medium"].append((comp.reference, height))
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elif height < 10.0:
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height_categories["high"].append((comp.reference, height))
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else:
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height_categories["very_high"].append((comp.reference, height))
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return {
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"success": True,
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"pcb_file": validated_path,
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"height_statistics": height_analysis,
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"height_categories": {
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category: [{"component": ref, "height_mm": height}
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for ref, height in components]
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for category, components in height_categories.items()
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},
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"tallest_components": sorted(
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[(comp.reference, analyzer._estimate_component_height(comp))
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for comp in components],
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key=lambda x: x[1], reverse=True
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)[:10], # Top 10 tallest components
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"enclosure_requirements": {
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"minimum_height_mm": height_analysis["max"] + 2.0, # Add 2mm clearance
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"recommended_height_mm": height_analysis["max"] + 5.0 # Add 5mm clearance
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}
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}
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except Exception as e:
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return {
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"success": False,
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"error": str(e),
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"pcb_file": pcb_file_path
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}
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@mcp.tool()
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def check_assembly_feasibility(pcb_file_path: str) -> dict[str, Any]:
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"""
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Analyze PCB assembly feasibility and identify potential issues.
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Checks for component accessibility, assembly sequence issues,
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and manufacturing constraints that could affect PCB assembly.
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Args:
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pcb_file_path: Path to the .kicad_pcb file
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Returns:
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Assembly feasibility analysis with issues and recommendations
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"""
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try:
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validated_path = validate_kicad_file(pcb_file_path, "pcb")
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analyzer = Model3DAnalyzer(validated_path)
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mechanical_analysis = analyzer.perform_mechanical_analysis()
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components = mechanical_analysis.components
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assembly_issues = []
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assembly_warnings = []
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# Check for components too close to board edge
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for comp in components:
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edge_distance = analyzer._distance_to_board_edge(
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comp, mechanical_analysis.board_dimensions
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)
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if edge_distance < 1.0: # Less than 1mm from edge
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assembly_warnings.append({
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"component": comp.reference,
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"issue": f"Component only {edge_distance:.2f}mm from board edge",
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"recommendation": "Consider moving component away from edge for easier assembly"
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})
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# Check for very small components that might be hard to place
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small_component_footprints = ["0201", "0402"]
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for comp in components:
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if any(size in (comp.footprint or "") for size in small_component_footprints):
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assembly_warnings.append({
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"component": comp.reference,
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"issue": f"Very small footprint {comp.footprint}",
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"recommendation": "Verify pick-and-place machine compatibility"
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})
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# Check component density
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board_area = (mechanical_analysis.board_dimensions.width *
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mechanical_analysis.board_dimensions.height)
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component_density = len(components) / (board_area / 100) # Components per cm²
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if component_density > 5.0:
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assembly_warnings.append({
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"component": "Board",
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"issue": f"High component density: {component_density:.1f} components/cm²",
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"recommendation": "Consider larger board or fewer components for easier assembly"
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})
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return {
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"success": True,
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"pcb_file": validated_path,
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"assembly_feasible": len(assembly_issues) == 0,
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"assembly_issues": assembly_issues,
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"assembly_warnings": assembly_warnings,
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"component_density": component_density,
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"board_utilization": {
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"component_count": len(components),
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"board_area_mm2": board_area,
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"density_per_cm2": component_density
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},
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"recommendations": [
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"Review component placement for optimal assembly sequence",
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"Ensure adequate fiducial markers for automated assembly",
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"Consider component orientation for consistent placement direction"
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] if assembly_warnings else ["PCB appears suitable for standard assembly processes"]
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}
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except Exception as e:
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return {
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"success": False,
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"error": str(e),
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"pcb_file": pcb_file_path
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}
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