Anto01 155f5a8522 feat: Add configuration validation system for MVP stability (Phase 1.2) ...

Implements JSON Schema validation for optimization configurations to ensure
consistency across all studies and prevent configuration errors.

Added:
- optimization_engine/schemas/optimization_config_schema.json
  - Comprehensive schema for Protocol 10 & 11 configurations
  - Validates objectives, constraints, design variables, simulation settings
  - Enforces standard field names (goal, bounds, parameter, threshold)

- optimization_engine/config_manager.py
  - ConfigManager class with schema validation
  - CLI tool: python config_manager.py <config.json>
  - Type-safe accessor methods for config elements
  - Custom validations: bounds check, multi-objective consistency, location check

- optimization_engine/schemas/README.md
  - Complete documentation of standard configuration format
  - Validation examples and common error fixes
  - Migration guidance for legacy configs

- docs/07_DEVELOPMENT/Phase_1_2_Implementation_Plan.md
  - Detailed implementation plan for remaining Phase 1.2 tasks
  - Migration tool design, integration guide, testing plan

Testing:
- Validated drone_gimbal_arm_optimization config successfully
- ConfigManager works with drone_gimbal format (new standard)
- Identifies legacy format issues in bracket studies

Standards Established:
- Configuration location: studies/{name}/1_setup/
- Objective direction: "goal" not "type"
- Design var bounds: "bounds": [min, max] not "min"/"max"
- Design var name: "parameter" not "name"
- Constraint threshold: "threshold" not "value"

Next Steps (Phase 1.2.1+):
- Config migration tool for legacy studies
- Integration with run_optimization.py
- Update create-study Claude skill with schema reference
- Migrate bracket studies to new format

Relates to: Phase 1.2 MVP Development Plan

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

2025-11-24 09:21:55 -05:00

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