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feat: Add DevLoop automation and HTML Reports

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## DevLoop - Closed-Loop Development System
- Orchestrator for plan → build → test → analyze cycle
- Gemini planning via OpenCode CLI
- Claude implementation via CLI bridge
- Playwright browser testing integration
- Test runner with API, filesystem, and browser tests
- Persistent state in .devloop/ directory
- CLI tool: tools/devloop_cli.py

Usage:
  python tools/devloop_cli.py start 'Create new feature'
  python tools/devloop_cli.py plan 'Fix bug in X'
  python tools/devloop_cli.py test --study support_arm
  python tools/devloop_cli.py browser --level full

## HTML Reports (optimization_engine/reporting/)
- Interactive Plotly-based reports
- Convergence plot, Pareto front, parallel coordinates
- Parameter importance analysis
- Self-contained HTML (offline-capable)
- Tailwind CSS styling

## Playwright E2E Tests
- Home page tests
- Test results in test-results/

## LAC Knowledge Base Updates
- Session insights (failures, workarounds, patterns)
- Optimization memory for arm support study
This commit is contained in:
Anto01
2026-01-24 21:18:18 -05:00
parent a3f18dc377
commit 3193831340
24 changed files with 6437 additions and 0 deletions
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.devloop/current_plan.json Normal file
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{
"objective": "Implement Dashboard Intake & AtomizerSpec Integration: Phase 1 - Create backend intake API routes (create, introspect, list, topics endpoints) and spec_manager service. The spec_models.py and JSON schema have already been updated with SpecStatus, IntrospectionData, BaselineData, and ExpressionInfo models. Now need to create: 1) backend/api/services/spec_manager.py for centralized spec CRUD, 2) backend/api/routes/intake.py with endpoints for creating inbox folders, running introspection, listing inbox contents, and listing topics, 3) Register the intake router in main.py. Reference the plan at docs/plans/DASHBOARD_INTAKE_ATOMIZERSPEC_INTEGRATION.md",
"approach": "Fallback plan - manual implementation",
"tasks": [
{
"id": "task_001",
"description": "Implement: Implement Dashboard Intake & AtomizerSpec Integration: Phase 1 - Create backend intake API routes (create, introspect, list, topics endpoints) and spec_manager service. The spec_models.py and JSON schema have already been updated with SpecStatus, IntrospectionData, BaselineData, and ExpressionInfo models. Now need to create: 1) backend/api/services/spec_manager.py for centralized spec CRUD, 2) backend/api/routes/intake.py with endpoints for creating inbox folders, running introspection, listing inbox contents, and listing topics, 3) Register the intake router in main.py. Reference the plan at docs/plans/DASHBOARD_INTAKE_ATOMIZERSPEC_INTEGRATION.md",
"file": "TBD",
"priority": "high"
}
],
"test_scenarios": [],
"acceptance_criteria": [
"Implement Dashboard Intake & AtomizerSpec Integration: Phase 1 - Create backend intake API routes (create, introspect, list, topics endpoints) and spec_manager service. The spec_models.py and JSON schema have already been updated with SpecStatus, IntrospectionData, BaselineData, and ExpressionInfo models. Now need to create: 1) backend/api/services/spec_manager.py for centralized spec CRUD, 2) backend/api/routes/intake.py with endpoints for creating inbox folders, running introspection, listing inbox contents, and listing topics, 3) Register the intake router in main.py. Reference the plan at docs/plans/DASHBOARD_INTAKE_ATOMIZERSPEC_INTEGRATION.md"
]
}