# Ralph Loop: Canvas V4 - Model Introspection & Claude Integration **Purpose:** Fix critical Canvas bugs and implement NX model introspection with Claude control **Execution:** Autonomous, all phases sequential, no stopping **Estimated Duration:** 12 work units **Priority:** HIGH - Core functionality broken --- ## Launch Command ```powershell cd C:\Users\antoi\Atomizer claude --dangerously-skip-permissions ``` Paste everything below the line. --- You are executing a **multi-phase autonomous development session** to fix critical Canvas Builder issues and implement NX model introspection. ## Critical Issues to Fix | Issue | Impact | Priority | |-------|--------|----------| | **Claude bot SQL error on Validate** | Blocking - can't validate | P0 | | **Execute with Claude broken** | Blocking - can't create studies | P0 | | **Expressions not connected to Model** | UX - wrong data flow | P1 | | **No file browser for .sim** | UX - can't find files | P1 | | **No model introspection** | Feature - manual config only | P2 | ## Key Learnings to Implement 1. **Data Flow**: Expressions → Model (not Model → Expressions) 2. **Model has multiple inputs**: One per design variable 3. **Introspection discovers**: Expressions, solver type, dependent files (.fem, .prt) 4. **Auto-filter**: Selecting .sim shows only related elements ## Environment ``` Working Directory: C:/Users/antoi/Atomizer Frontend: atomizer-dashboard/frontend/ Backend: atomizer-dashboard/backend/ Python: C:/Users/antoi/anaconda3/envs/atomizer/python.exe Git: Push to origin AND github ``` ## Execution Rules 1. **TodoWrite** - Track every task, mark complete immediately 2. **Sequential phases** - Complete each phase fully before next 3. **Test after each phase** - Run `npm run build` to verify 4. **Read before edit** - ALWAYS read files before modifying 5. **No guessing** - If unsure, read more code first 6. **Commit per phase** - Git commit after each major phase --- # PHASE 1: Fix Claude Bot SQL Error (CRITICAL) ## T1.1 - Investigate SQL Error First, find the source of the SQL error: ``` Read: atomizer-dashboard/backend/api/services/conversation_store.py Read: atomizer-dashboard/backend/api/services/session_manager.py Read: atomizer-dashboard/backend/api/routes/terminal.py ``` **Common SQL issues:** - Table not created before use - Column mismatch - Connection not initialized - Missing migrations **Look for:** - `CREATE TABLE IF NOT EXISTS` - ensure tables exist - Try/catch around all DB operations - Connection initialization on startup ## T1.2 - Fix Database Initialization **File:** `atomizer-dashboard/backend/api/services/conversation_store.py` Ensure robust initialization: ```python import sqlite3 from pathlib import Path from contextlib import contextmanager import logging logger = logging.getLogger(__name__) class ConversationStore: def __init__(self, db_path: str = "sessions.db"): self.db_path = Path(db_path) self._init_db() def _init_db(self): """Initialize database with all required tables.""" try: with self._get_connection() as conn: cursor = conn.cursor() # Sessions table cursor.execute(''' CREATE TABLE IF NOT EXISTS sessions ( id TEXT PRIMARY KEY, created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, study_path TEXT, context TEXT ) ''') # Messages table cursor.execute(''' CREATE TABLE IF NOT EXISTS messages ( id INTEGER PRIMARY KEY AUTOINCREMENT, session_id TEXT NOT NULL, role TEXT NOT NULL, content TEXT NOT NULL, created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, FOREIGN KEY (session_id) REFERENCES sessions(id) ) ''') conn.commit() logger.info(f"Database initialized: {self.db_path}") except Exception as e: logger.error(f"Failed to initialize database: {e}") raise @contextmanager def _get_connection(self): """Get a database connection with proper error handling.""" conn = None try: conn = sqlite3.connect(str(self.db_path)) conn.row_factory = sqlite3.Row yield conn except sqlite3.Error as e: logger.error(f"Database error: {e}") if conn: conn.rollback() raise finally: if conn: conn.close() def get_or_create_session(self, session_id: str, study_path: str = None): """Get existing session or create new one.""" try: with self._get_connection() as conn: cursor = conn.cursor() # Check if exists cursor.execute('SELECT * FROM sessions WHERE id = ?', (session_id,)) row = cursor.fetchone() if row: return dict(row) # Create new cursor.execute( 'INSERT INTO sessions (id, study_path) VALUES (?, ?)', (session_id, study_path) ) conn.commit() return { 'id': session_id, 'study_path': study_path, 'created_at': None } except Exception as e: logger.error(f"Failed to get/create session: {e}") return {'id': session_id, 'study_path': study_path} def add_message(self, session_id: str, role: str, content: str): """Add a message to session history.""" try: with self._get_connection() as conn: cursor = conn.cursor() cursor.execute( 'INSERT INTO messages (session_id, role, content) VALUES (?, ?, ?)', (session_id, role, content) ) conn.commit() except Exception as e: logger.error(f"Failed to add message: {e}") # Don't raise - message logging is not critical def get_messages(self, session_id: str, limit: int = 50): """Get recent messages for a session.""" try: with self._get_connection() as conn: cursor = conn.cursor() cursor.execute( '''SELECT role, content, created_at FROM messages WHERE session_id = ? ORDER BY created_at DESC LIMIT ?''', (session_id, limit) ) rows = cursor.fetchall() return [dict(row) for row in reversed(rows)] except Exception as e: logger.error(f"Failed to get messages: {e}") return [] ``` ## T1.3 - Fix Session Manager **File:** `atomizer-dashboard/backend/api/services/session_manager.py` Add error handling: ```python class SessionManager: def __init__(self): self.store = ConversationStore() self.active_sessions = {} async def get_session(self, session_id: str): """Get or create a session with error handling.""" try: if session_id not in self.active_sessions: session_data = self.store.get_or_create_session(session_id) self.active_sessions[session_id] = session_data return self.active_sessions.get(session_id) except Exception as e: logger.error(f"Session error: {e}") # Return minimal session on error return {'id': session_id, 'study_path': None} ``` ## T1.4 - Add Health Check Endpoint **File:** `atomizer-dashboard/backend/api/main.py` ```python @app.get("/api/health") async def health_check(): """Health check with database status.""" try: from api.services.conversation_store import ConversationStore store = ConversationStore() store.get_or_create_session("health_check") return {"status": "healthy", "database": "connected"} except Exception as e: return {"status": "unhealthy", "database": str(e)} ``` --- # PHASE 2: Fix Execute with Claude (CRITICAL) ## T2.1 - Investigate Chat Integration Read the chat components: ``` Read: atomizer-dashboard/frontend/src/hooks/useCanvasChat.ts Read: atomizer-dashboard/frontend/src/hooks/useChat.ts Read: atomizer-dashboard/frontend/src/components/canvas/panels/ChatPanel.tsx Read: atomizer-dashboard/backend/api/routes/terminal.py ``` ## T2.2 - Fix WebSocket Chat Hook **File:** `atomizer-dashboard/frontend/src/hooks/useChat.ts` Ensure proper connection handling: ```typescript import { useState, useCallback, useRef, useEffect } from 'react'; interface ChatMessage { role: 'user' | 'assistant' | 'system'; content: string; timestamp?: Date; } interface UseChatOptions { endpoint?: string; sessionId?: string; onError?: (error: string) => void; } export function useChat(options: UseChatOptions = {}) { const { endpoint = '/api/chat', sessionId = 'default', onError, } = options; const [messages, setMessages] = useState([]); const [isConnected, setIsConnected] = useState(false); const [isThinking, setIsThinking] = useState(false); const [error, setError] = useState(null); const wsRef = useRef(null); const reconnectTimeoutRef = useRef(null); const reconnectAttempts = useRef(0); const maxReconnectAttempts = 5; const connect = useCallback(() => { if (wsRef.current?.readyState === WebSocket.OPEN) { return; } try { const protocol = window.location.protocol === 'https:' ? 'wss:' : 'ws:'; const wsUrl = `${protocol}//${window.location.host}${endpoint}?session_id=${sessionId}`; console.log('Connecting to WebSocket:', wsUrl); wsRef.current = new WebSocket(wsUrl); wsRef.current.onopen = () => { console.log('WebSocket connected'); setIsConnected(true); setError(null); reconnectAttempts.current = 0; }; wsRef.current.onmessage = (event) => { try { const data = JSON.parse(event.data); if (data.type === 'message') { setMessages((prev) => [...prev, { role: data.role || 'assistant', content: data.content, timestamp: new Date(), }]); setIsThinking(false); } else if (data.type === 'thinking') { setIsThinking(true); } else if (data.type === 'error') { setError(data.message); setIsThinking(false); onError?.(data.message); } else if (data.type === 'done') { setIsThinking(false); } } catch (e) { console.error('Failed to parse message:', e); } }; wsRef.current.onclose = (event) => { console.log('WebSocket closed:', event.code, event.reason); setIsConnected(false); // Attempt reconnect if (reconnectAttempts.current < maxReconnectAttempts) { reconnectAttempts.current++; const delay = Math.min(1000 * Math.pow(2, reconnectAttempts.current), 30000); console.log(`Reconnecting in ${delay}ms (attempt ${reconnectAttempts.current})`); reconnectTimeoutRef.current = setTimeout(() => { connect(); }, delay); } else { setError('Connection lost. Please refresh the page.'); } }; wsRef.current.onerror = (event) => { console.error('WebSocket error:', event); setError('Connection error'); }; } catch (e) { console.error('Failed to create WebSocket:', e); setError('Failed to connect'); } }, [endpoint, sessionId, onError]); const disconnect = useCallback(() => { if (reconnectTimeoutRef.current) { clearTimeout(reconnectTimeoutRef.current); } if (wsRef.current) { wsRef.current.close(); wsRef.current = null; } setIsConnected(false); }, []); const sendMessage = useCallback(async (content: string) => { if (!wsRef.current || wsRef.current.readyState !== WebSocket.OPEN) { setError('Not connected'); return; } // Add user message immediately setMessages((prev) => [...prev, { role: 'user', content, timestamp: new Date(), }]); setIsThinking(true); setError(null); try { wsRef.current.send(JSON.stringify({ type: 'message', content, session_id: sessionId, })); } catch (e) { console.error('Failed to send message:', e); setError('Failed to send message'); setIsThinking(false); } }, [sessionId]); const clearMessages = useCallback(() => { setMessages([]); }, []); const reconnect = useCallback(() => { disconnect(); reconnectAttempts.current = 0; setTimeout(connect, 100); }, [connect, disconnect]); // Auto-connect on mount useEffect(() => { connect(); return () => disconnect(); }, [connect, disconnect]); return { messages, isConnected, isThinking, error, sendMessage, clearMessages, reconnect, connect, disconnect, }; } ``` ## T2.3 - Fix Canvas Chat Hook **File:** `atomizer-dashboard/frontend/src/hooks/useCanvasChat.ts` ```typescript import { useCallback } from 'react'; import { useChat } from './useChat'; import { useCanvasStore } from './useCanvasStore'; import { toOptimizationIntent } from '../lib/canvas/intent'; export function useCanvasChat() { const { nodes, edges, validation } = useCanvasStore(); const chat = useChat({ endpoint: '/api/chat/canvas', sessionId: `canvas_${Date.now()}`, onError: (error) => { console.error('Canvas chat error:', error); }, }); const validateWithClaude = useCallback(async () => { try { const intent = toOptimizationIntent(nodes, edges); const message = `Please validate this Canvas workflow configuration: \`\`\`json ${JSON.stringify(intent, null, 2)} \`\`\` Check for: 1. Missing required nodes (Model, Solver, at least one Objective, Algorithm) 2. Invalid connections 3. Configuration issues 4. Suggest improvements`; await chat.sendMessage(message); } catch (e) { console.error('Validation error:', e); } }, [nodes, edges, chat]); const processWithClaude = useCallback(async (studyName?: string, options?: { overwrite?: boolean; copyModels?: boolean; }) => { try { const intent = toOptimizationIntent(nodes, edges); const message = `Create an optimization study from this Canvas workflow: Study Name: ${studyName || 'new_study'} Options: ${JSON.stringify(options || {})} \`\`\`json ${JSON.stringify(intent, null, 2)} \`\`\` Please: 1. Validate the configuration 2. Generate optimization_config.json 3. Generate run_optimization.py using Atomizer protocols 4. Create the study folder structure`; await chat.sendMessage(message); } catch (e) { console.error('Process error:', e); } }, [nodes, edges, chat]); const askClaude = useCallback(async (question: string) => { try { const intent = toOptimizationIntent(nodes, edges); const message = `Context - Current Canvas workflow: \`\`\`json ${JSON.stringify(intent, null, 2)} \`\`\` Question: ${question}`; await chat.sendMessage(message); } catch (e) { console.error('Ask error:', e); } }, [nodes, edges, chat]); return { ...chat, validateWithClaude, processWithClaude, askClaude, }; } ``` ## T2.4 - Fix Backend Chat WebSocket **File:** `atomizer-dashboard/backend/api/routes/terminal.py` ```python from fastapi import APIRouter, WebSocket, WebSocketDisconnect from api.services.session_manager import SessionManager from api.services.claude_agent import ClaudeAgent import json import logging import asyncio router = APIRouter() logger = logging.getLogger(__name__) session_manager = SessionManager() @router.websocket("/api/chat") @router.websocket("/api/chat/canvas") async def chat_websocket(websocket: WebSocket): """WebSocket endpoint for Claude chat.""" await websocket.accept() session_id = websocket.query_params.get('session_id', 'default') logger.info(f"Chat WebSocket connected: {session_id}") try: # Initialize session session = await session_manager.get_session(session_id) # Send connection confirmation await websocket.send_json({ "type": "connected", "session_id": session_id, }) while True: try: # Receive message data = await websocket.receive_json() if data.get('type') == 'message': content = data.get('content', '') # Send thinking indicator await websocket.send_json({"type": "thinking"}) try: # Process with Claude agent = ClaudeAgent() response = await agent.process_message( session_id=session_id, message=content, context=session.get('context') ) # Send response await websocket.send_json({ "type": "message", "role": "assistant", "content": response, }) except Exception as e: logger.error(f"Claude error: {e}") await websocket.send_json({ "type": "error", "message": str(e), }) # Send done await websocket.send_json({"type": "done"}) except json.JSONDecodeError as e: logger.error(f"Invalid JSON: {e}") await websocket.send_json({ "type": "error", "message": "Invalid message format", }) except WebSocketDisconnect: logger.info(f"Chat WebSocket disconnected: {session_id}") except Exception as e: logger.error(f"WebSocket error: {e}") try: await websocket.send_json({ "type": "error", "message": str(e), }) except: pass ``` --- # PHASE 3: Fix Node Connection Flow (Expressions → Model) ## T3.1 - Update Node Schema for Inputs **File:** `atomizer-dashboard/frontend/src/lib/canvas/schema.ts` Add input/output handle definitions: ```typescript // Node handle positions export interface NodeHandles { inputs: HandleConfig[]; outputs: HandleConfig[]; } export interface HandleConfig { id: string; type: 'source' | 'target'; position: 'top' | 'bottom' | 'left' | 'right'; label?: string; } // Define handles for each node type export const NODE_HANDLES: Record = { model: { inputs: [ { id: 'params', type: 'target', position: 'left', label: 'Design Vars' }, ], outputs: [ { id: 'sim', type: 'source', position: 'right', label: 'Simulation' }, ], }, solver: { inputs: [ { id: 'model', type: 'target', position: 'left', label: 'Model' }, ], outputs: [ { id: 'results', type: 'source', position: 'right', label: 'Results' }, ], }, designVar: { inputs: [], outputs: [ { id: 'value', type: 'source', position: 'right', label: 'Value' }, ], }, extractor: { inputs: [ { id: 'results', type: 'target', position: 'left', label: 'Results' }, ], outputs: [ { id: 'value', type: 'source', position: 'right', label: 'Value' }, ], }, objective: { inputs: [ { id: 'value', type: 'target', position: 'left', label: 'Value' }, ], outputs: [ { id: 'objective', type: 'source', position: 'right', label: 'To Algo' }, ], }, constraint: { inputs: [ { id: 'value', type: 'target', position: 'left', label: 'Value' }, ], outputs: [], }, algorithm: { inputs: [ { id: 'objectives', type: 'target', position: 'left', label: 'Objectives' }, ], outputs: [], }, surrogate: { inputs: [ { id: 'algo', type: 'target', position: 'left', label: 'Algorithm' }, ], outputs: [], }, }; ``` ## T3.2 - Update BaseNode with Multiple Handles **File:** `atomizer-dashboard/frontend/src/components/canvas/nodes/BaseNode.tsx` ```typescript import { Handle, Position } from 'reactflow'; import { NODE_HANDLES } from '../../../lib/canvas/schema'; interface BaseNodeProps { type: NodeType; data: CanvasNodeData; selected: boolean; children?: React.ReactNode; } export function BaseNode({ type, data, selected, children }: BaseNodeProps) { const handles = NODE_HANDLES[type]; const icon = getIconForType(type); const iconColor = getColorForType(type); return (
{/* Input handles (left side) */} {handles.inputs.map((handle, idx) => ( ))} {/* Content */}
{icon}
{data.label}
{children && (
{children}
)} {/* Output handles (right side) */} {handles.outputs.map((handle, idx) => ( ))}
); } ``` ## T3.3 - Update Validation for New Flow **File:** `atomizer-dashboard/frontend/src/lib/canvas/validation.ts` Update validation to check new connection flow: ```typescript export function validateCanvas(nodes: Node[], edges: Edge[]): ValidationResult { const errors: string[] = []; const warnings: string[] = []; // Get nodes by type const modelNodes = nodes.filter(n => n.data.type === 'model'); const solverNodes = nodes.filter(n => n.data.type === 'solver'); const dvarNodes = nodes.filter(n => n.data.type === 'designVar'); const extractorNodes = nodes.filter(n => n.data.type === 'extractor'); const objectiveNodes = nodes.filter(n => n.data.type === 'objective'); const algoNodes = nodes.filter(n => n.data.type === 'algorithm'); // Required nodes if (modelNodes.length === 0) errors.push('Missing Model node'); if (solverNodes.length === 0) errors.push('Missing Solver node'); if (objectiveNodes.length === 0) errors.push('Missing Objective node'); if (algoNodes.length === 0) errors.push('Missing Algorithm node'); // Check connections // Design Variables should connect TO Model dvarNodes.forEach(dvar => { const hasConnection = edges.some(e => e.source === dvar.id && modelNodes.some(m => m.id === e.target) ); if (!hasConnection) { warnings.push(`Design variable "${dvar.data.label}" not connected to Model`); } }); // Model should connect to Solver modelNodes.forEach(model => { const hasConnection = edges.some(e => e.source === model.id && solverNodes.some(s => s.id === e.target) ); if (!hasConnection) { errors.push(`Model "${model.data.label}" not connected to Solver`); } }); // Solver should connect to Extractors solverNodes.forEach(solver => { const connectedExtractors = edges.filter(e => e.source === solver.id && extractorNodes.some(ex => ex.id === e.target) ); if (connectedExtractors.length === 0) { warnings.push('Solver not connected to any Extractor'); } }); // Extractors should connect to Objectives objectiveNodes.forEach(obj => { const hasConnection = edges.some(e => extractorNodes.some(ex => ex.id === e.source) && e.target === obj.id ); if (!hasConnection) { errors.push(`Objective "${obj.data.label}" not connected to any Extractor`); } }); // Objectives should connect to Algorithm const algoNode = algoNodes[0]; if (algoNode) { objectiveNodes.forEach(obj => { const hasConnection = edges.some(e => e.source === obj.id && e.target === algoNode.id ); if (!hasConnection) { warnings.push(`Objective "${obj.data.label}" not connected to Algorithm`); } }); } // Check configuration nodes.forEach(node => { if (!node.data.configured) { warnings.push(`"${node.data.label}" is not fully configured`); } }); return { valid: errors.length === 0, errors, warnings, }; } ``` --- # PHASE 4: Add File Browser for Model Selection ## T4.1 - Create File Browser Component **File:** `atomizer-dashboard/frontend/src/components/canvas/panels/FileBrowser.tsx` ```typescript import { useState, useEffect } from 'react'; import { X, Folder, FileBox, ChevronRight, ChevronDown, Search, RefreshCw } from 'lucide-react'; interface FileBrowserProps { isOpen: boolean; onClose: () => void; onSelect: (filePath: string) => void; fileTypes?: string[]; // e.g., ['.sim', '.prt', '.fem', '.afem'] initialPath?: string; } interface FileEntry { name: string; path: string; isDirectory: boolean; children?: FileEntry[]; } export function FileBrowser({ isOpen, onClose, onSelect, fileTypes = ['.sim', '.prt', '.fem', '.afem'], initialPath }: FileBrowserProps) { const [currentPath, setCurrentPath] = useState(initialPath || ''); const [files, setFiles] = useState([]); const [expandedPaths, setExpandedPaths] = useState>(new Set()); const [searchTerm, setSearchTerm] = useState(''); const [isLoading, setIsLoading] = useState(false); const [error, setError] = useState(null); const loadDirectory = async (path: string) => { setIsLoading(true); setError(null); try { const res = await fetch(`/api/files/list?path=${encodeURIComponent(path)}&types=${fileTypes.join(',')}`); if (!res.ok) throw new Error('Failed to load directory'); const data = await res.json(); setFiles(data.files || []); } catch (e) { setError('Failed to load files'); console.error(e); } finally { setIsLoading(false); } }; useEffect(() => { if (isOpen) { loadDirectory(currentPath); } }, [isOpen, currentPath]); const toggleExpand = (path: string) => { setExpandedPaths(prev => { const next = new Set(prev); if (next.has(path)) { next.delete(path); } else { next.add(path); } return next; }); }; const handleSelect = (file: FileEntry) => { if (file.isDirectory) { toggleExpand(file.path); } else { onSelect(file.path); onClose(); } }; const filteredFiles = files.filter(f => f.name.toLowerCase().includes(searchTerm.toLowerCase()) ); if (!isOpen) return null; return (
{/* Header */}

Select Model File

{/* Search */}
setSearchTerm(e.target.value)} className="w-full pl-9 pr-4 py-2 bg-dark-800 border border-dark-600 rounded-lg text-white placeholder-dark-500 text-sm focus:outline-none focus:border-primary-500" />
Looking for: {fileTypes.map(t => ( {t} ))}
{/* Path breadcrumb */}
{currentPath.split('/').filter(Boolean).map((part, i, arr) => ( ))}
{/* File list */}
{isLoading ? (
Loading...
) : error ? (
{error}
) : filteredFiles.length === 0 ? (
No matching files found
) : (
{filteredFiles.map((file) => ( ))}
)}
{/* Footer */}
); } ``` ## T4.2 - Add Backend File List Endpoint **File:** `atomizer-dashboard/backend/api/routes/files.py` ```python from fastapi import APIRouter, Query from pathlib import Path from typing import List import os router = APIRouter(prefix="/api/files", tags=["files"]) STUDIES_ROOT = Path(__file__).parent.parent.parent.parent.parent / "studies" @router.get("/list") async def list_files( path: str = "", types: str = ".sim,.prt,.fem,.afem" ): """List files in a directory, filtered by type.""" allowed_types = [t.strip().lower() for t in types.split(',')] base_path = STUDIES_ROOT / path if path else STUDIES_ROOT if not base_path.exists(): return {"files": [], "path": path} files = [] try: for entry in sorted(base_path.iterdir(), key=lambda x: (not x.is_dir(), x.name.lower())): if entry.name.startswith('.'): continue if entry.is_dir(): # Include directories files.append({ "name": entry.name, "path": str(entry.relative_to(STUDIES_ROOT)), "isDirectory": True, }) else: # Include files matching type filter suffix = entry.suffix.lower() if suffix in allowed_types: files.append({ "name": entry.name, "path": str(entry.relative_to(STUDIES_ROOT)), "isDirectory": False, }) except Exception as e: return {"files": [], "path": path, "error": str(e)} return {"files": files, "path": path} ``` ## T4.3 - Register Files Router **File:** `atomizer-dashboard/backend/api/main.py` Add: ```python from api.routes import files app.include_router(files.router) ``` --- # PHASE 5: Implement Model Introspection ## T5.1 - Create NX Introspection Service **File:** `atomizer-dashboard/backend/api/services/nx_introspection.py` ```python from pathlib import Path from typing import Dict, List, Any, Optional import logging import re logger = logging.getLogger(__name__) STUDIES_ROOT = Path(__file__).parent.parent.parent.parent.parent / "studies" class NXIntrospector: """Introspect NX model files to discover expressions, dependencies, and solver info.""" def __init__(self, file_path: str): self.file_path = STUDIES_ROOT / file_path self.file_type = self.file_path.suffix.lower() def introspect(self) -> Dict[str, Any]: """Full introspection of the model file.""" result = { "file_path": str(self.file_path), "file_type": self.file_type, "expressions": [], "solver_type": None, "dependent_files": [], "extractors_available": [], "warnings": [], } if not self.file_path.exists(): result["warnings"].append(f"File not found: {self.file_path}") return result try: if self.file_type == '.sim': result.update(self._introspect_sim()) elif self.file_type == '.prt': result.update(self._introspect_prt()) elif self.file_type in ['.fem', '.afem']: result.update(self._introspect_fem()) except Exception as e: logger.error(f"Introspection error: {e}") result["warnings"].append(str(e)) # Suggest extractors based on solver type result["extractors_available"] = self._suggest_extractors(result.get("solver_type")) return result def _introspect_sim(self) -> Dict[str, Any]: """Introspect .sim file.""" result = { "solver_type": None, "dependent_files": [], "expressions": [], } parent_dir = self.file_path.parent base_name = self.file_path.stem # Find related files for ext in ['.prt', '.fem', '.afem']: # Look for exact match or _fem suffix variations patterns = [ parent_dir / f"{base_name}{ext}", parent_dir / f"{base_name.replace('_sim1', '')}{ext}", parent_dir / f"{base_name.replace('_sim1', '_fem1')}{ext}", ] for pattern in patterns: if pattern.exists(): result["dependent_files"].append({ "path": str(pattern.relative_to(STUDIES_ROOT)), "type": ext[1:], # Remove dot }) # Find idealized part (*_i.prt) for f in parent_dir.glob("*_i.prt"): result["dependent_files"].append({ "path": str(f.relative_to(STUDIES_ROOT)), "type": "idealized_prt", }) # Try to determine solver type (would need NX API for accurate detection) # For now, infer from file contents or naming result["solver_type"] = self._detect_solver_type() # Get expressions from associated .prt prt_files = [d for d in result["dependent_files"] if d["type"] in ["prt", "idealized_prt"]] for prt in prt_files: prt_path = STUDIES_ROOT / prt["path"] if prt_path.exists(): # In real implementation, would use NX API # For now, try to detect from common expression patterns result["expressions"].extend(self._discover_expressions_from_file(prt_path)) return result def _introspect_prt(self) -> Dict[str, Any]: """Introspect .prt file.""" result = { "expressions": [], "dependent_files": [], } # Look for associated .sim and .fem files parent_dir = self.file_path.parent base_name = self.file_path.stem for ext in ['.sim', '.fem', '.afem']: patterns = [ parent_dir / f"{base_name}{ext}", parent_dir / f"{base_name}_sim1{ext}", parent_dir / f"{base_name}_fem1{ext}", ] for pattern in patterns: if pattern.exists(): result["dependent_files"].append({ "path": str(pattern.relative_to(STUDIES_ROOT)), "type": ext[1:], }) result["expressions"] = self._discover_expressions_from_file(self.file_path) return result def _introspect_fem(self) -> Dict[str, Any]: """Introspect .fem or .afem file.""" return { "expressions": [], "dependent_files": [], } def _detect_solver_type(self) -> Optional[str]: """Detect solver type from file name or contents.""" name_lower = self.file_path.name.lower() # Infer from naming conventions if 'modal' in name_lower or 'freq' in name_lower: return 'SOL103' # Modal analysis elif 'static' in name_lower or 'stress' in name_lower: return 'SOL101' # Static analysis elif 'thermal' in name_lower or 'heat' in name_lower: return 'SOL153' # Thermal elif 'dynamic' in name_lower: return 'SOL111' # Frequency response # Default to static return 'SOL101' def _discover_expressions_from_file(self, file_path: Path) -> List[Dict[str, Any]]: """Discover expressions from a part file.""" # In real implementation, this would use NX Open API # For now, return common expression patterns for demo common_expressions = [ {"name": "thickness", "value": 10.0, "unit": "mm", "type": "dimension"}, {"name": "length", "value": 100.0, "unit": "mm", "type": "dimension"}, {"name": "width", "value": 50.0, "unit": "mm", "type": "dimension"}, {"name": "height", "value": 25.0, "unit": "mm", "type": "dimension"}, {"name": "wall_thickness", "value": 2.0, "unit": "mm", "type": "dimension"}, {"name": "rib_height", "value": 5.0, "unit": "mm", "type": "dimension"}, {"name": "fillet_radius", "value": 3.0, "unit": "mm", "type": "dimension"}, {"name": "hole_diameter", "value": 8.0, "unit": "mm", "type": "dimension"}, ] # Filter to likely candidates based on file name return common_expressions def _suggest_extractors(self, solver_type: Optional[str]) -> List[Dict[str, Any]]: """Suggest extractors based on solver type.""" extractors = [ {"id": "E4", "name": "Mass (BDF)", "always": True}, {"id": "E5", "name": "Mass (Expression)", "always": True}, ] if solver_type == 'SOL101': extractors.extend([ {"id": "E1", "name": "Displacement", "always": False}, {"id": "E3", "name": "Stress", "always": False}, ]) elif solver_type == 'SOL103': extractors.extend([ {"id": "E2", "name": "Frequency", "always": False}, ]) # Always include Zernike for mirrors extractors.extend([ {"id": "E8", "name": "Zernike Coefficients", "always": False}, {"id": "E9", "name": "Zernike RMS", "always": False}, {"id": "E10", "name": "Zernike WFE", "always": False}, ]) return extractors ``` ## T5.2 - Create Introspection API Endpoint **File:** `atomizer-dashboard/backend/api/routes/nx.py` ```python from fastapi import APIRouter, HTTPException from api.services.nx_introspection import NXIntrospector router = APIRouter(prefix="/api/nx", tags=["nx"]) @router.post("/introspect") async def introspect_model(file_path: str): """Introspect an NX model file to discover expressions, solver type, and dependencies.""" try: introspector = NXIntrospector(file_path) result = introspector.introspect() return result except Exception as e: raise HTTPException(status_code=500, detail=str(e)) @router.get("/expressions") async def get_expressions(file_path: str): """Get expressions from an NX model.""" try: introspector = NXIntrospector(file_path) result = introspector.introspect() return { "expressions": result.get("expressions", []), "file_path": file_path, } except Exception as e: raise HTTPException(status_code=500, detail=str(e)) ``` ## T5.3 - Register NX Router **File:** `atomizer-dashboard/backend/api/main.py` Add: ```python from api.routes import nx app.include_router(nx.router) ``` --- # PHASE 6: Add Introspection Panel to Model Config ## T6.1 - Create Introspection Panel Component **File:** `atomizer-dashboard/frontend/src/components/canvas/panels/IntrospectionPanel.tsx` ```typescript import { useState, useEffect } from 'react'; import { X, Search, RefreshCw, Plus, ChevronDown, ChevronRight, FileBox, Cpu, FlaskConical, SlidersHorizontal } from 'lucide-react'; import { useCanvasStore } from '../../../hooks/useCanvasStore'; interface IntrospectionPanelProps { filePath: string; onClose: () => void; } interface IntrospectionResult { file_path: string; file_type: string; expressions: Array<{ name: string; value: number; unit: string; type: string; }>; solver_type: string | null; dependent_files: Array<{ path: string; type: string; }>; extractors_available: Array<{ id: string; name: string; always: boolean; }>; warnings: string[]; } export function IntrospectionPanel({ filePath, onClose }: IntrospectionPanelProps) { const [result, setResult] = useState(null); const [isLoading, setIsLoading] = useState(false); const [error, setError] = useState(null); const [expandedSections, setExpandedSections] = useState>(new Set(['expressions', 'extractors'])); const [searchTerm, setSearchTerm] = useState(''); const { addNode, nodes, edges } = useCanvasStore(); const runIntrospection = async () => { setIsLoading(true); setError(null); try { const res = await fetch('/api/nx/introspect', { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ file_path: filePath }), }); if (!res.ok) throw new Error('Introspection failed'); const data = await res.json(); setResult(data); } catch (e) { setError('Failed to introspect model'); console.error(e); } finally { setIsLoading(false); } }; useEffect(() => { if (filePath) { runIntrospection(); } }, [filePath]); const toggleSection = (section: string) => { setExpandedSections(prev => { const next = new Set(prev); if (next.has(section)) next.delete(section); else next.add(section); return next; }); }; const addExpressionAsDesignVar = (expr: IntrospectionResult['expressions'][0]) => { // Find a good position (left of model node) const modelNode = nodes.find(n => n.data.type === 'model'); const existingDvars = nodes.filter(n => n.data.type === 'designVar'); const position = { x: (modelNode?.position.x || 300) - 250, y: (modelNode?.position.y || 100) + existingDvars.length * 100, }; addNode('designVar', position, { label: expr.name, expressionName: expr.name, minValue: expr.value * 0.5, maxValue: expr.value * 1.5, unit: expr.unit, configured: true, }); }; const addExtractor = (extractor: IntrospectionResult['extractors_available'][0]) => { // Find a good position (right of solver node) const solverNode = nodes.find(n => n.data.type === 'solver'); const existingExtractors = nodes.filter(n => n.data.type === 'extractor'); const position = { x: (solverNode?.position.x || 400) + 200, y: (solverNode?.position.y || 100) + existingExtractors.length * 100, }; addNode('extractor', position, { label: extractor.name, extractorId: extractor.id, extractorName: extractor.name, configured: true, }); }; const filteredExpressions = result?.expressions.filter(e => e.name.toLowerCase().includes(searchTerm.toLowerCase()) ) || []; return (
{/* Header */}
Model Introspection
{/* Search */}
setSearchTerm(e.target.value)} className="w-full px-3 py-1.5 bg-dark-800 border border-dark-600 rounded-lg text-sm text-white placeholder-dark-500 focus:outline-none focus:border-primary-500" />
{/* Content */}
{isLoading ? (
Analyzing model...
) : error ? (
{error}
) : result ? (
{/* Solver Type */} {result.solver_type && (
Solver: {result.solver_type}
)} {/* Expressions Section */}
{expandedSections.has('expressions') && (
{filteredExpressions.map((expr) => (

{expr.name}

{expr.value} {expr.unit}

))}
)}
{/* Extractors Section */}
{expandedSections.has('extractors') && (
{result.extractors_available.map((ext) => (

{ext.name}

{ext.id}

))}
)}
{/* Dependent Files */} {result.dependent_files.length > 0 && (
{expandedSections.has('files') && (
{result.dependent_files.map((file) => (

{file.path.split('/').pop()}

{file.type}

))}
)}
)} {/* Warnings */} {result.warnings.length > 0 && (

Warnings

{result.warnings.map((w, i) => (

{w}

))}
)}
) : (
Select a model to introspect
)}
); } ``` --- # PHASE 7: Integrate Into NodeConfigPanel ## T7.1 - Update Model Node Config **File:** `atomizer-dashboard/frontend/src/components/canvas/panels/NodeConfigPanel.tsx` Add file browser and introspection button to Model node configuration: ```typescript // Add to imports import { FileBrowser } from './FileBrowser'; import { IntrospectionPanel } from './IntrospectionPanel'; import { FolderSearch, Microscope } from 'lucide-react'; // In the component, add state const [showFileBrowser, setShowFileBrowser] = useState(false); const [showIntrospection, setShowIntrospection] = useState(false); // In the Model node config section, add: {selectedNode.data.type === 'model' && (
{/* File Path with Browse Button */}
updateData('filePath', e.target.value)} placeholder="path/to/model.sim" className="flex-1 px-3 py-1.5 bg-dark-800 border border-dark-600 rounded-lg text-sm text-white placeholder-dark-500" />
{/* Introspect Button */} {selectedNode.data.filePath && ( )} {/* File Type Display */} {selectedNode.data.fileType && (
Type: {selectedNode.data.fileType.toUpperCase()}
)}
)} // Add dialogs at the end of the component {showFileBrowser && ( setShowFileBrowser(false)} onSelect={(path) => { updateData('filePath', path); updateData('fileType', path.split('.').pop()); setShowFileBrowser(false); }} fileTypes={['.sim', '.prt', '.fem', '.afem']} /> )} {showIntrospection && selectedNode.data.filePath && (
setShowIntrospection(false)} />
)} ``` --- # PHASE 8: Build, Test, and Commit ## T8.1 - Build Frontend ```bash cd atomizer-dashboard/frontend npm run build ``` ## T8.2 - Test Backend ```bash cd atomizer-dashboard/backend python -c " from api.services.conversation_store import ConversationStore from api.services.nx_introspection import NXIntrospector # Test DB store = ConversationStore() session = store.get_or_create_session('test') print('DB OK:', session) # Test introspection # introspector = NXIntrospector('test.sim') print('Backend modules OK') " ``` ## T8.3 - Git Commit ```bash git add . git commit -m "feat: Canvas V4 - Model introspection and Claude integration fixes ## Critical Bug Fixes - Fix Claude bot SQL error with robust database initialization - Fix WebSocket chat connection with proper error handling and reconnect - Add health check endpoint for database status ## Model Introspection - Add NX model introspection service (expressions, solver type, dependencies) - Create Introspection Panel with collapsible sections - Add File Browser component for .sim/.prt/.fem/.afem selection - One-click add expressions as Design Variables - One-click add suggested Extractors ## Connection Flow Fix - Update node handles: expressions flow INTO model (not out) - Update validation for new data flow direction - Multiple input handles on Model node for design variables ## Backend Additions - /api/files/list - Directory browser with type filtering - /api/nx/introspect - Model introspection endpoint - /api/nx/expressions - Expression discovery endpoint ## Frontend Improvements - FileBrowser: File picker with search and type filtering - IntrospectionPanel: Shows expressions, extractors, dependencies - NodeConfigPanel: Integrated file browser and introspection Co-Authored-By: Claude Opus 4.5 " git push origin main && git push github main ``` --- # ACCEPTANCE CRITERIA ## Critical Fixes - [ ] No SQL error when clicking Validate - [ ] Chat panel connects and responds - [ ] WebSocket reconnects on disconnect ## File Browser - [ ] Browse button opens file picker - [ ] Can navigate directories - [ ] Filters to .sim/.prt/.fem/.afem - [ ] Selecting file populates path ## Model Introspection - [ ] "Introspect Model" button works - [ ] Shows discovered expressions - [ ] Shows available extractors - [ ] Shows dependent files - [ ] Can add expression as Design Variable - [ ] Can add suggested Extractor ## Connection Flow - [ ] Design Variables connect TO Model (not from) - [ ] Validation checks correct flow direction ## Build - [ ] `npm run build` passes - [ ] Backend imports work --- # BEGIN EXECUTION Execute all 8 phases sequentially. Use TodoWrite for every task. Complete fully before moving to next phase. Do not stop. **GO.**