feat: Simulation/paper-trading mode (Issue #21) - #27
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- Add comprehensive AI design document for smart battery management - Document Nord Pool 24h prices as PRIMARY decision driver - Include solar prediction, load forecasting, and Q-learning optimization - Design for Raspberry Pi 4 (4GB RAM) constraints - Add .worktrees/ to .gitignore for git worktree support - Update CLAUDE.md and README.md with v0.15.0 documentation 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
Add TradingSimulator class for paper-trading without controlling inverter: - Track simulated discharge/charge/idle actions with timestamps - Accumulate simulated revenue, cost, and net profit - Log actions with energy amounts and reasons - Export data to JSON or CSV format - Maximum log size of 1000 actions with FIFO eviction Components: - simulation.py: TradingSimulator, SimulatedAction, SimulationStats, SimulationState - test_simulation.py: 25 comprehensive tests including realistic scenarios - const.py: New constants for simulation mode entities and services Benefits: - Safe testing before live deployment - Strategy comparison through simulated revenue tracking - Debug aid with detailed action logging - Export capability for external analysis Closes #21 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Incorporates AI features from main branch. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add scikit-learn, xgboost, onnxruntime to requirements_test.txt - Add recorder to manifest.json dependencies (used by ai/data_extractor.py) These fixes resolve CI failures: - ModuleNotFoundError: No module named 'sklearn' - Hassfest: Using component recorder but it's not in 'dependencies' Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
The pytest-cov configuration in pyproject.toml was still set to 90%. Updating to match the workflow file threshold. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Resolved const.py merge conflict by combining: - Solar forecast constants (SWITCH_SOLAR_AWARE_MODE, forecast sensors, settings) - Dynamic threshold constants from PR #26 - Simulation mode constants from PR #27 - Inverter control types from PR #24 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Tsopic
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Jan 27, 2026
Resolved const.py merge conflict by combining: - Performance tracking constants (SWITCH_ENABLE_PERFORMANCE_TRACKING, profit sensors, services) - Dynamic threshold constants from PR #26 - Simulation mode constants from PR #27 - Solar forecast constants from PR #28 - Inverter control types from PR #24 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Summary
TradingSimulatorclass for paper-trading without controlling the inverterChanges
simulation.py- Complete simulation engine with dataclassesSimulatedAction- Individual action recordSimulationStats- Accumulated statistics with net profit calculationSimulationState- Complete state managementTradingSimulator- Main simulator classtest_simulation.py- 25 comprehensive testsconst.py- New constants for simulation entities and servicesKey Features
simulate_discharge()/simulate_charge()/simulate_idle()- Record what actions would be takenget_recent_actions(limit)- Get recent action log (most recent first)get_stats()- Get accumulated statisticsexport_to_json()/export_actions_to_csv()- Export for external analysisTest plan
Closes #21
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