docs: Update documentation for AtomizerSpec v2.0 unified configuration
Phase 4 documentation updates: - CANVAS.md: Add AtomizerSpec v2.0 schema, custom extractors section, spec REST API endpoints, and updated file structure - DASHBOARD.md: Add V3.1 release notes, AtomizerSpec API endpoints, and unified configuration features - CLAUDE.md: Add complete AtomizerSpec v2.0 section with code examples, MCP tools reference, API endpoints, and updated directory structure Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
@@ -1,7 +1,7 @@
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# Atomizer Canvas - Visual Workflow Builder
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**Last Updated**: January 16, 2026
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**Version**: 3.0
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**Last Updated**: January 17, 2026
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**Version**: 3.1 (AtomizerSpec v2.0)
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**Status**: Production
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---
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@@ -10,19 +10,34 @@
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The Atomizer Canvas is a visual, node-based workflow builder for designing optimization studies. It provides a drag-and-drop interface for configuring FEA optimizations that integrates with Claude to validate and execute workflows.
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**New in v3.1**: The Canvas now uses **AtomizerSpec v2.0** as the unified configuration format. All studies are defined by a single `atomizer_spec.json` file that serves as the single source of truth for Canvas, Backend, Claude, and the Optimization Engine.
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### Key Features
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- **Visual Workflow Design**: Drag-and-drop nodes to build optimization pipelines
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- **Professional Lucide Icons**: Clean, consistent iconography throughout the interface
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- **Auto-Load from Studies**: Import existing optimization_config.json files
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- **AtomizerSpec v2.0**: Unified JSON spec format (`atomizer_spec.json`) for all configuration
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- **Auto-Load from Studies**: Import existing studies (supports both v2.0 specs and legacy configs)
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- **NX Model Introspection**: Automatically extract expressions from .prt/.sim/.fem files
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- **File Browser**: Browse and select model files with type filtering
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- **Expression Search**: Searchable dropdown for design variable configuration
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- **One-Click Add**: Add discovered expressions as design variables instantly
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- **Custom Extractors**: Define custom Python extraction functions directly in the spec
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- **Claude Integration**: "Process with Claude" button for AI-assisted study creation
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- **Real-time Sync**: WebSocket-based synchronization between clients
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- **Responsive Layout**: Full-screen canvas that adapts to window size
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### What's New in V3
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### What's New in V3.1
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| Feature | Description |
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|---------|-------------|
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| **AtomizerSpec v2.0** | Unified configuration format replacing `optimization_config.json` |
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| **Spec REST API** | Full CRUD operations on spec via `/api/studies/{id}/spec` |
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| **Custom Extractors** | Define custom Python functions as extractors in the spec |
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| **WebSocket Sync** | Real-time spec synchronization between clients |
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| **Legacy Migration** | Automatic migration of old `optimization_config.json` files |
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### What's New in V3.0
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| Feature | Description |
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|---------|-------------|
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@@ -75,7 +90,8 @@ atomizer-dashboard/frontend/src/
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│ │ ├── ObjectiveNode.tsx # Objective node
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│ │ ├── ConstraintNode.tsx # Constraint node
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│ │ ├── AlgorithmNode.tsx # Algorithm node
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│ │ └── SurrogateNode.tsx # Surrogate node
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│ │ ├── SurrogateNode.tsx # Surrogate node
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│ │ └── CustomExtractorNode.tsx # Custom extractor node (V3.1)
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│ ├── panels/
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│ │ ├── NodeConfigPanel.tsx # Node configuration sidebar
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│ │ ├── ValidationPanel.tsx # Validation toast display
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@@ -85,21 +101,52 @@ atomizer-dashboard/frontend/src/
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│ │ ├── TemplateSelector.tsx # Workflow template chooser
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│ │ ├── FileBrowser.tsx # File picker modal (V3)
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│ │ ├── IntrospectionPanel.tsx # Model introspection results (V3)
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│ │ └── ExpressionSelector.tsx # Expression search dropdown (V3)
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│ │ ├── ExpressionSelector.tsx # Expression search dropdown (V3)
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│ │ └── CustomExtractorPanel.tsx # Code editor for custom extractors (V3.1)
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│ └── palette/
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│ └── NodePalette.tsx # Draggable node palette
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├── hooks/
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│ ├── useCanvasStore.ts # Zustand store for canvas state
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│ ├── useSpecStore.ts # Zustand store for AtomizerSpec (V3.1)
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│ ├── useSpecSync.ts # WebSocket spec sync (V3.1)
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│ └── useCanvasChat.ts # Claude chat integration
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├── lib/canvas/
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│ ├── schema.ts # TypeScript type definitions
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│ ├── intent.ts # Intent serialization (174 lines)
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│ ├── validation.ts # Graph validation logic
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│ └── templates.ts # Workflow templates
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├── lib/
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│ ├── canvas/
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│ │ ├── schema.ts # TypeScript type definitions
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│ │ ├── intent.ts # Intent serialization (legacy)
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│ │ ├── validation.ts # Graph validation logic
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│ │ └── templates.ts # Workflow templates
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│ └── spec/
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│ └── converter.ts # AtomizerSpec ↔ ReactFlow converter (V3.1)
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├── types/
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│ └── atomizer-spec.ts # AtomizerSpec TypeScript types (V3.1)
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└── pages/
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└── CanvasView.tsx # Canvas page (/canvas route)
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```
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### Backend File Structure (V3.1)
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```
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atomizer-dashboard/backend/api/
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├── services/
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│ ├── spec_manager.py # SpecManager - load/save/validate specs
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│ ├── claude_agent.py # Claude API integration
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│ └── context_builder.py # Context assembly with spec awareness
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└── routes/
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├── spec.py # AtomizerSpec REST API endpoints
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└── optimization.py # Optimization endpoints
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optimization_engine/
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├── config/
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│ ├── spec_models.py # Pydantic models for AtomizerSpec
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│ ├── spec_validator.py # Semantic validation
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│ └── migrator.py # Legacy config migration
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├── extractors/
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│ └── custom_extractor_loader.py # Runtime custom function loader
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└── schemas/
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└── atomizer_spec_v2.json # JSON Schema definition
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```
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---
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## User Interface
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@@ -275,6 +322,92 @@ When loading a `.sim` file, the system introspects to find:
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---
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## Custom Extractors (V3.1)
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Custom extractors allow you to define arbitrary Python extraction functions directly in the AtomizerSpec. These functions are validated for safety and executed during optimization.
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### Creating a Custom Extractor
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1. Add a **Custom Extractor** node from the palette
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2. Open the **Code Editor** in the config panel
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3. Write your extraction function following the required signature
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4. The code is validated in real-time for:
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- Correct function signature
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- Allowed imports only (numpy, pyNastran)
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- No dangerous operations (os.system, exec, eval, etc.)
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### Function Signature
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```python
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def extract(op2_path, bdf_path=None, params=None, working_dir=None):
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"""
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Custom extraction function.
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Args:
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op2_path: Path to the .op2 results file
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bdf_path: Path to the .bdf mesh file (optional)
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params: Dict of current design variable values (optional)
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working_dir: Path to the trial working directory (optional)
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Returns:
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Dict with output values, e.g., {"custom_metric": 42.0}
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"""
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import numpy as np
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from pyNastran.op2.op2 import OP2
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op2 = OP2()
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op2.read_op2(op2_path)
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# Your extraction logic here
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result = np.max(op2.displacements[1].data)
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return {"custom_metric": result}
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```
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### Allowed Imports
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| Module | Usage |
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|--------|-------|
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| `numpy` | Numerical operations |
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| `pyNastran` | OP2/BDF file parsing |
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| `math` | Basic math functions |
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| `pathlib` | Path manipulation |
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### Security Restrictions
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The following are **NOT allowed** in custom extractor code:
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- `import os`, `import subprocess`, `import sys`
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- `exec()`, `eval()`, `compile()`
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- `__import__()`, `open()` with write mode
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- Network operations
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- File system modifications outside working_dir
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### Example: Custom Stress Ratio Extractor
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```python
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def extract(op2_path, bdf_path=None, params=None, working_dir=None):
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"""Extract stress ratio (max_stress / allowable)."""
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import numpy as np
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from pyNastran.op2.op2 import OP2
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op2 = OP2()
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op2.read_op2(op2_path)
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# Get von Mises stress from solid elements
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stress_data = op2.ctetra_stress[1].data
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max_von_mises = np.max(stress_data[:, :, 7]) # Column 7 is von Mises
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allowable = 250.0 # MPa
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stress_ratio = max_von_mises / allowable
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return {
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"stress_ratio": stress_ratio,
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"max_stress_mpa": max_von_mises
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}
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```
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---
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## File Browser (V3)
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The File Browser allows you to navigate the studies directory to select model files.
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@@ -330,11 +463,47 @@ Model Introspection analyzes NX model files to discover expressions, solver type
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### Backend Endpoints
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#### AtomizerSpec REST API (V3.1)
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The spec API provides full CRUD operations on the unified AtomizerSpec:
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```
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GET /api/studies/{study_id}/spec # Get full AtomizerSpec
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Returns: AtomizerSpec JSON with meta, model, design_variables, extractors, objectives, constraints, optimization, canvas
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PUT /api/studies/{study_id}/spec # Replace entire spec
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Body: AtomizerSpec JSON
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Returns: { hash: string, warnings: [] }
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PATCH /api/studies/{study_id}/spec # Partial update (JSONPath)
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Body: { path: "design_variables[0].bounds.max", value: 15.0, modified_by: "canvas" }
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Returns: { hash: string }
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POST /api/studies/{study_id}/spec/validate # Validate spec
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Returns: { valid: boolean, errors: [], warnings: [] }
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POST /api/studies/{study_id}/spec/nodes # Add node (design var, extractor, etc.)
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Body: { type: "designVar", data: {...}, modified_by: "canvas" }
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Returns: { node_id: "dv_002", hash: string }
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PATCH /api/studies/{study_id}/spec/nodes/{id} # Update node
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Body: { updates: {...}, modified_by: "canvas" }
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Returns: { hash: string }
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DELETE /api/studies/{study_id}/spec/nodes/{id} # Remove node
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Query: modified_by=canvas
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Returns: { hash: string }
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POST /api/studies/{study_id}/spec/edges # Add edge connection
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Query: source=ext_001&target=obj_001&modified_by=canvas
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Returns: { hash: string }
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```
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#### Study Configuration
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```
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GET /api/studies/ # List all studies
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GET /api/studies/{path}/config # Get optimization_config.json
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GET /api/studies/{path}/config # Get optimization_config.json (legacy)
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```
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#### File Browser (V3)
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@@ -415,9 +584,169 @@ Analyzes a Canvas intent and provides recommendations.
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---
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## OptimizationIntent Schema
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## AtomizerSpec v2.0 Schema
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The Canvas serializes workflows to the `OptimizationIntent` JSON format:
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The Canvas uses **AtomizerSpec v2.0** as the unified configuration format. This replaces the legacy `optimization_config.json` and `OptimizationIntent` with a single schema.
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### Core Structure
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```typescript
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interface AtomizerSpec {
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meta: {
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version: "2.0";
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created: string; // ISO timestamp
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modified: string; // ISO timestamp
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created_by: "canvas" | "claude" | "api" | "migration" | "manual";
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modified_by: "canvas" | "claude" | "api" | "migration" | "manual";
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study_name: string;
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description?: string;
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tags?: string[];
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};
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model: {
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sim: { path: string; solver: string };
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prt?: { path: string };
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fem?: { path: string };
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};
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design_variables: DesignVariable[];
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extractors: Extractor[];
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objectives: Objective[];
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constraints: Constraint[];
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optimization: OptimizationConfig;
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canvas: CanvasLayout;
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}
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```
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### Design Variable
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```typescript
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interface DesignVariable {
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id: string; // "dv_001", "dv_002", etc.
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name: string; // Display name
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expression_name: string; // NX expression name
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type: "continuous" | "integer" | "categorical";
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bounds: { min: number; max: number };
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baseline?: number;
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unit?: string;
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enabled: boolean;
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canvas_position: { x: number; y: number };
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}
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```
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### Extractor
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```typescript
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interface Extractor {
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id: string; // "ext_001", etc.
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name: string; // Display name
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type: string; // "mass", "displacement", "zernike_opd", "custom"
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builtin: boolean; // true for E1-E10, false for custom
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outputs: Array<{ name: string; units?: string }>;
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config?: Record<string, unknown>;
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custom_function?: { // For custom extractors only
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code: string; // Python function code
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entry_point: string; // Function name (default: "extract")
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};
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canvas_position: { x: number; y: number };
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}
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```
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### Objective
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```typescript
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interface Objective {
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id: string; // "obj_001", etc.
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name: string; // Display name
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direction: "minimize" | "maximize";
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source: {
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extractor_id: string; // Reference to extractor
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output_name: string; // Which output from the extractor
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};
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weight?: number; // For weighted sum multi-objective
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enabled: boolean;
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canvas_position: { x: number; y: number };
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}
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```
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### Canvas Layout
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```typescript
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interface CanvasLayout {
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edges: Array<{ source: string; target: string }>;
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layout_version: "2.0";
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viewport?: { x: number; y: number; zoom: number };
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}
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```
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### Example AtomizerSpec
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```json
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{
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"meta": {
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"version": "2.0",
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"created": "2026-01-17T10:00:00Z",
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"modified": "2026-01-17T10:30:00Z",
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"created_by": "canvas",
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"modified_by": "canvas",
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"study_name": "bracket_mass_optimization",
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"description": "Optimize bracket mass while maintaining stress limits"
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},
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"model": {
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"sim": { "path": "bracket_sim1.sim", "solver": "nastran" }
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},
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"design_variables": [
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{
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"id": "dv_001",
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"name": "Thickness",
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"expression_name": "web_thickness",
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"type": "continuous",
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"bounds": { "min": 2.0, "max": 10.0 },
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"baseline": 5.0,
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"unit": "mm",
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"enabled": true,
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"canvas_position": { "x": 50, "y": 100 }
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}
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],
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"extractors": [
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{
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"id": "ext_001",
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"name": "Mass",
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"type": "mass",
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"builtin": true,
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"outputs": [{ "name": "mass", "units": "kg" }],
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"canvas_position": { "x": 740, "y": 100 }
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}
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],
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"objectives": [
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{
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"id": "obj_001",
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"name": "mass",
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"direction": "minimize",
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"source": { "extractor_id": "ext_001", "output_name": "mass" },
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"enabled": true,
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"canvas_position": { "x": 1020, "y": 100 }
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}
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],
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"constraints": [],
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"optimization": {
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"algorithm": { "type": "TPE" },
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"budget": { "max_trials": 100 }
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},
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"canvas": {
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"edges": [
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{ "source": "dv_001", "target": "model" },
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{ "source": "model", "target": "solver" },
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{ "source": "solver", "target": "ext_001" },
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{ "source": "ext_001", "target": "obj_001" },
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{ "source": "obj_001", "target": "optimization" }
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],
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"layout_version": "2.0"
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}
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}
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```
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### Legacy OptimizationIntent (Deprecated)
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The `OptimizationIntent` format is still supported for backwards compatibility but will be automatically converted to AtomizerSpec v2.0 when saved.
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```typescript
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interface OptimizationIntent {
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@@ -637,6 +966,8 @@ npm run build
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## References
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- **AtomizerSpec v2.0 Architecture**: See `docs/plans/UNIFIED_CONFIGURATION_ARCHITECTURE.md`
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- **AtomizerSpec JSON Schema**: See `optimization_engine/schemas/atomizer_spec_v2.json`
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- **React Flow Documentation**: https://reactflow.dev/
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- **Lucide Icons**: https://lucide.dev/icons/
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- **Zustand**: https://github.com/pmndrs/zustand
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@@ -647,3 +978,4 @@ npm run build
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---
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*Canvas Builder: Design optimizations visually, execute with AI.*
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*Powered by AtomizerSpec v2.0 - the unified configuration format.*
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@@ -1,7 +1,7 @@
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# Atomizer Dashboard
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||||
|
||||
**Last Updated**: January 16, 2026
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||||
**Version**: 3.0
|
||||
**Last Updated**: January 17, 2026
|
||||
**Version**: 3.1 (AtomizerSpec v2.0)
|
||||
|
||||
---
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||||
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@@ -9,17 +9,19 @@
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The Atomizer Dashboard is a real-time web-based interface for monitoring and analyzing multi-objective optimization studies. Built with React, TypeScript, and Tailwind CSS, it provides comprehensive visualization and interaction capabilities for NSGA-II based structural optimization.
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||||
|
||||
**New in V3.1**: All studies now use **AtomizerSpec v2.0** as the unified configuration format. The `atomizer_spec.json` file serves as the single source of truth for Canvas, Backend, Claude, and the Optimization Engine.
|
||||
|
||||
### Major Features
|
||||
|
||||
| Feature | Route | Description |
|
||||
|---------|-------|-------------|
|
||||
| **Canvas Builder** | `/canvas` | Visual node-based workflow designer |
|
||||
| **Canvas Builder** | `/canvas` | Visual node-based workflow designer (AtomizerSpec v2.0) |
|
||||
| **Live Dashboard** | `/dashboard` | Real-time optimization monitoring |
|
||||
| **Results Viewer** | `/results` | Markdown reports with charts |
|
||||
| **Analytics** | `/analytics` | Cross-study comparison |
|
||||
| **Claude Chat** | Global | AI-powered study creation |
|
||||
| **Claude Chat** | Global | AI-powered study creation with spec tools |
|
||||
|
||||
> **New in V2**: The [Canvas Builder](CANVAS.md) provides a visual, drag-and-drop interface for designing optimization workflows with Claude AI integration.
|
||||
> **New in V3.1**: The [Canvas Builder](CANVAS.md) now uses AtomizerSpec v2.0 as the unified configuration format, with support for custom extractors and real-time WebSocket synchronization.
|
||||
|
||||
---
|
||||
|
||||
@@ -237,6 +239,43 @@ Reusable markdown rendering component:
|
||||
|
||||
## API Endpoints
|
||||
|
||||
### AtomizerSpec (V3.1)
|
||||
|
||||
#### GET `/api/studies/{study_id}/spec`
|
||||
Get the full AtomizerSpec for a study.
|
||||
|
||||
**Response**:
|
||||
```json
|
||||
{
|
||||
"meta": { "version": "2.0", "study_name": "..." },
|
||||
"model": { "sim": { "path": "...", "solver": "nastran" } },
|
||||
"design_variables": [...],
|
||||
"extractors": [...],
|
||||
"objectives": [...],
|
||||
"constraints": [...],
|
||||
"optimization": { "algorithm": { "type": "TPE" }, "budget": { "max_trials": 100 } },
|
||||
"canvas": { "edges": [...], "layout_version": "2.0" }
|
||||
}
|
||||
```
|
||||
|
||||
#### PUT `/api/studies/{study_id}/spec`
|
||||
Replace the entire spec with validation.
|
||||
|
||||
#### PATCH `/api/studies/{study_id}/spec`
|
||||
Partial update using JSONPath. Body: `{ "path": "design_variables[0].bounds.max", "value": 15.0 }`
|
||||
|
||||
#### POST `/api/studies/{study_id}/spec/validate`
|
||||
Validate spec and return detailed report. Returns: `{ "valid": true, "errors": [], "warnings": [] }`
|
||||
|
||||
#### POST `/api/studies/{study_id}/spec/nodes`
|
||||
Add a new node (design variable, extractor, objective, constraint).
|
||||
|
||||
#### PATCH `/api/studies/{study_id}/spec/nodes/{node_id}`
|
||||
Update an existing node's properties.
|
||||
|
||||
#### DELETE `/api/studies/{study_id}/spec/nodes/{node_id}`
|
||||
Remove a node and clean up related edges.
|
||||
|
||||
### Studies
|
||||
|
||||
#### GET `/api/optimization/studies`
|
||||
@@ -576,6 +615,31 @@ if (!objectives || !designVariables) return <EmptyState />;
|
||||
|
||||
## Recent Updates
|
||||
|
||||
### January 2026 (V3.1) - AtomizerSpec v2.0
|
||||
|
||||
- [x] **AtomizerSpec v2.0**: Unified configuration architecture
|
||||
- **Single Source of Truth**: One `atomizer_spec.json` file for Canvas, Backend, Claude, and Optimization Engine
|
||||
- **Spec REST API**: Full CRUD operations at `/api/studies/{id}/spec`
|
||||
- **Pydantic Validation**: Backend validation with detailed error messages
|
||||
- **Legacy Migration**: Automatic migration from `optimization_config.json`
|
||||
- **29 Studies Migrated**: All existing studies converted to v2.0 format
|
||||
|
||||
- [x] **Custom Extractors**: Define custom Python extraction functions in the spec
|
||||
- **Security Validation**: Code checked for dangerous patterns
|
||||
- **Runtime Loading**: Functions executed during optimization
|
||||
- **Canvas UI**: Code editor panel for custom extractor nodes
|
||||
|
||||
- [x] **WebSocket Sync**: Real-time spec synchronization
|
||||
- Multiple clients stay synchronized
|
||||
- Optimistic updates with rollback on error
|
||||
- Conflict detection with hash comparison
|
||||
|
||||
- [x] **Comprehensive Testing**: Full test coverage for Phase 4
|
||||
- Unit tests for SpecManager and Pydantic models
|
||||
- API integration tests for all spec endpoints
|
||||
- Migration tests for legacy config formats
|
||||
- E2E tests for complete workflow
|
||||
|
||||
### January 2026 (V3.0)
|
||||
|
||||
- [x] **Canvas Builder V3**: Major upgrade with model introspection and Claude fixes
|
||||
|
||||
Reference in New Issue
Block a user