feat(soroban): implement resource cost model definitions #16#40
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mijinummi merged 1 commit intoMDTechLabs:mainfrom Jan 28, 2026
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**Completes Issue MDTechLabs#16** - Soroban Resource Cost Model Definitions ✅ soroban_cost_model.py - Full CPU/Memory/Ledger analysis engine ✅ Cost constants mapped to mainnet-v20 Soroban limits ✅ Fee calculations (XLM): instructions, ledger I/O, bandwidth ✅ Weighted scoring system: CPU(40%)/Ledger(40%)/Memory(20%) ✅ pytest fixtures refactoring: Reduced ~150 lines of boilerplate ✅ Standalone validation script: tests/validate_fixtures.py **Key Features:** - Resource utilization scores (0-100 scale per dimension) - Actionable optimization hints - 95% safety margin violation detection - Production-ready analysis pipeline **Validation Results:** $ python3 tests/validate_fixtures.py Minimal CPU test passed High memory test passed Efficient cost hints test passed Simple token transfer analysis test passed All fixture validation tests passed! Closes MDTechLabs#16
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Completes Issue #16 - Soroban Resource Cost Model Definitions
soroban_cost_model.py - Full CPU/Memory/Ledger analysis engine
Cost constants mapped to mainnet-v20 Soroban limits
Fee calculations (XLM): instructions, ledger I/O, bandwidth
Weighted scoring system: CPU(40%)/Ledger(40%)/Memory(20%)
pytest fixtures refactoring: Reduced ~150 lines of boilerplate
Standalone validation script: tests/validate_fixtures.py
Key Features:
Validation Results:
$ python3 tests/validate_fixtures.py
Minimal CPU test passed
High memory test passed
Efficient cost hints test passed
Simple token transfer analysis test passed
All fixture validation tests passed!
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Closes #16