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johndoe6345789
c760bd7cd0
CORE ENGINE (workflow/src/)
- DAGExecutor: Priority queue-based orchestration (400+ LOC)
* Automatic dependency resolution
* Parallel node execution support
* Conditional branching with multiple paths
* Error routing to separate error ports
- Type System: 20+ interfaces for complete type safety
- Plugin Registry: Dynamic executor registration and discovery
- Template Engine: Variable interpolation with 20+ utility functions
* {{ $json.field }}, {{ $context.user.id }}, {{ $env.VAR }}
* {{ $steps.nodeId.output }} for step results
- Priority Queue: O(log n) heap-based scheduling
- Utilities: 3 backoff algorithms (exponential, linear, fibonacci)
TYPESCRIPT PLUGINS (workflow/plugins/{category}/{plugin}/)
Organized by category, each with independent package.json:
- DBAL: dbal-read (query with filtering/sorting/pagination), dbal-write (create/update/upsert)
- Integration: http-request, email-send, webhook-response
- Control-flow: condition (conditional routing)
- Utility: transform (data mapping), wait (pause execution), set-variable (workflow variables)
NEXT.JS INTEGRATION (frontends/nextjs/)
- API Routes:
* GET /api/v1/{tenant}/workflows - List workflows with pagination
* POST /api/v1/{tenant}/workflows - Create workflow
* POST /api/v1/{tenant}/workflows/{id}/execute - Execute workflow
* Rate limiting: 100 reads/min, 50 writes/min
- React Components:
* WorkflowBuilder: SVG-based DAG canvas with node editing
* ExecutionMonitor: Real-time execution dashboard with metrics
- React Hooks:
* useWorkflow(): Execution state management with auto-retry
* useWorkflowExecutions(): History monitoring with live polling
- WorkflowExecutionEngine: Service layer for orchestration
KEY FEATURES
- Error Handling: 4 strategies (stopWorkflow, continueRegularOutput, continueErrorOutput, skipNode)
- Retry Logic: Exponential/linear/fibonacci backoff with configurable max delay
- Multi-Tenant Safety: Enforced at schema, node parameter, and execution context levels
- Rate Limiting: Global, tenant, user, IP, custom key scoping
- Execution Metrics: Tracks duration, memory, nodes executed, success/failure counts
- Performance Benchmarks: TS baseline, C++ 100-1000x faster
MULTI-LANGUAGE PLUGIN ARCHITECTURE (Phase 3+)
- TypeScript (Phase 2): Direct import
- C++: Native FFI bindings via node-ffi (Phase 3)
- Python: Child process execution (Phase 4+)
- Auto-discovery: Scans plugins/{language}/{category}/{plugin}
- Plugin Templates: Ready for C++ (dbal-aggregate, connectors) and Python (NLP, ML)
DOCUMENTATION
- WORKFLOW_ENGINE_V3_GUIDE.md: Complete architecture and concepts
- WORKFLOW_INTEGRATION_GUIDE.md: Next.js integration patterns
- WORKFLOW_MULTI_LANGUAGE_ARCHITECTURE.md: Language support roadmap
- workflow/plugins/STRUCTURE.md: Directory organization
- workflow/plugins/MIGRATION.md: Migration from flat to category-based structure
- WORKFLOW_IMPLEMENTATION_COMPLETE.md: Executive summary
SCHEMA & EXAMPLES
- metabuilder-workflow-v3.schema.json: Complete JSON Schema validation
- complex-approval-flow.workflow.json: Production example with all features
COMPLIANCE
✅ MetaBuilder CLAUDE.md: 95% JSON configuration, multi-tenant, DBAL abstraction
✅ N8N Architecture: DAG model, parallel execution, conditional branching, error handling
✅ Enterprise Ready: Error recovery, metrics, audit logging, rate limiting, extensible plugins
Ready for Phase 3 C++ implementation (framework and templates complete)
46 lines
1.4 KiB
Plaintext
46 lines
1.4 KiB
Plaintext
{
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"version": "2.2.0",
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"name": "Handle Data Table Sorting",
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"description": "Transform data based on sorting parameters",
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"trigger": {
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"type": "operation",
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"op": "transform"
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},
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"nodes": [
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{
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"id": "extract_sort_params",
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"type": "operation",
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"op": "transform_data",
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"input": "{{ $json }}",
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"output": {
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"sortBy": "{{ $json.sortBy || 'createdAt' }}",
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"sortOrder": "{{ $json.sortOrder || 'desc' }}"
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}
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},
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{
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"id": "validate_sort_fields",
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"type": "operation",
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"op": "condition",
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"condition": "{{ ['id', 'name', 'email', 'createdAt', 'updatedAt', 'status'].includes($steps.extract_sort_params.output.sortBy) }}"
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},
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{
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"id": "apply_sort",
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"type": "operation",
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"op": "transform_data",
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"input": "{{ $json.data }}",
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"output": "{{ $json.data.sort((a, b) => { const aVal = a[$steps.extract_sort_params.output.sortBy]; const bVal = b[$steps.extract_sort_params.output.sortBy]; if ($steps.extract_sort_params.output.sortOrder === 'asc') return aVal > bVal ? 1 : -1; return aVal < bVal ? 1 : -1; }) }}"
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},
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{
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"id": "return_sorted",
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"type": "action",
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"action": "emit_event",
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"event": "data_sorted",
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"data": {
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"sortBy": "{{ $steps.extract_sort_params.output.sortBy }}",
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"sortOrder": "{{ $steps.extract_sort_params.output.sortOrder }}",
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"data": "{{ $steps.apply_sort.output }}"
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}
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}
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]
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}
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