82 lines
8.8 KiB
Plaintext
82 lines
8.8 KiB
Plaintext
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ƒ d S )
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zD
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Simulation Engine (Digital Twin 2.0)
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Simulates "what if" scenarios
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é )ÚDictÚListÚOptional)Ú dataclass)Údatetimec @ sL e Zd ZU dZeed< eed< eed< eed< ee ed< edœdd „Zd
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S ) ÚSimulationResultzResult of a simulationÚ
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scenario_nameÚbaselineÚ simulatedÚchangesÚimpacted_indexes©Úreturnc C s | j | j| j| j| jdœS )N)Úscenarior r
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r r ©r r r
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r r ©Úself© r úE/home/bernt/.openclaw/workspace/iom/intelligence/simulation_engine.pyÚto_dict s ûzSimulationResult.to_dictN) Ú__name__Ú
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__module__Ú __qualname__Ú__doc__ÚstrÚ__annotations__r r r r r r r r s
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eee e dœdd„ZdS )ÚSimulationEnginezSimulates urban scenariosc C s | ¡ | _d S )N)Ú_load_impact_modelsÚ
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impact_modelsr r r r Ú__init__! s zSimulationEngine.__init__r
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c C sŽ ddddddœddd œd
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dœddd œdddddddœddd œddd d ddœdd d œd d dd d d œd!d d œd"ddd d d d#œd$d%d œd&œS )'z*Load models for how changes affect indexeszAdd dedicated bicycle lanesé( é
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éûÿÿÿéýÿÿÿ)Úbicycle_friendlinessÚ walkabilityÚtraffic_intensityÚ noise_leveliðI é )Ú descriptionr Úcost_estimate_usdÚimplementation_monthszRemove on-street parkingé é iöÿÿÿ)r% Úpedestrian_flowÚretail_densityr& iPÃ é zPlant 40 new treesiñÿÿÿé é )Ú
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tree_coverageÚ heat_stressÚ shade_indexr% Úproperty_valuei€8 é z Upgrade street lighting to LEDé )ÚlightingÚ safety_indexÚnight_activityZenergy_efficiencyiÀÔ é zAdd children's playgroundé# é )Úfamily_presenceÚgreeneryZcommunity_activityr6 i@
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z!Convert ground floor to mixed-use)r/ Z public_lifer. Úfunctional_densityr6 i ¡ é )Úadd_bike_lanesZremove_parkingÚplant_40_treesÚimprove_lightingÚadd_playgroundZmixed_use_developmentr r r r r r $ sr ü÷ü÷ûöü÷ü÷ûö¼z$SimulationEngine._load_impact_models)Ú
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current_stater r c C s¨ | j |¡}|s"t|||i g d�S | ¡ }i }|d ¡ D ]N\}}||v r:|| }tdtd|| ƒƒ} | ||< || t| | dƒdœ||< q:| ||¡}
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d�S )zá
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Simulate a scenario
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Args:
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current_state: Current signal values
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scenario_name: Name of scenario to simulate
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Returns:
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Simulation result
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r r éd r é )ÚoldÚnewÚdelta) r Úgetr ÚcopyÚitemsÚminÚmaxÚroundÚ_calculate_impacted_indexes) r rG r ÚmodelZsimulated_stater ÚsignalrL Ú old_valueÚ new_valueÚimpactedr r r Úsimulatex s8 û ý ûzSimulationEngine.simulate)rG Ú scenariosr c C sª g }|D ]r}| ||¡}| j |i ¡}tdd„ |j ¡ D ƒƒ}| || dd¡t|dƒ| dd¡| dd¡|j|jd œ¡ q|j d
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� |||r¢|d d nddœS )zCompare multiple scenariosc s s" | ]}|d dkr|d V qdS )rL r Nr )Ú.0Úcr r r Ú <genexpr>¸ s ÿz5SimulationEngine.compare_scenarios.<locals>.<genexpr>r) Ú rI r* r r+ )r r) Útotal_improvementÚcost_usdr+ r r c S s | d S )Nr_ r ©Úxr r r Ú<lambda>È ó z4SimulationEngine.compare_scenarios.<locals>.<lambda>T©ÚkeyÚreverser N)r rZ Ú
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best_scenario)
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dƒ d dƒdœS )zš
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Find optimal combination of interventions within budget
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Example:
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"Maximize family-friendly within $300k budget"
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