95 lines
8.9 KiB
Plaintext
95 lines
8.9 KiB
Plaintext
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ƒ dS )
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Prediction Engine (PRI - Predictive Reality Index)
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Forecasts what will happen in 30, 90, and 365 days
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é )ÚDictÚListÚOptionalÚTuple)Ú dataclass)ÚdatetimeÚ timedeltaNc @ sv e Zd ZU dZeed< eed< eed< eed< eed< ee ed< dZ
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d„ZdS )Ú
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PredictionzA single predictionÚtargetÚ
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current_valueÚpredicted_valueÚ
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confidenceÚ horizon_daysÚdriversNÚscenario©Úreturnc C s" t | j| j t| jdƒ d dƒS )Né éd é )Úroundr r Úmax©Úself© r úE/home/bernt/.openclaw/workspace/iom/intelligence/prediction_engine.pyÚchange_percent s zPrediction.change_percentc C s8 | j t| jdƒt| jdƒ| jt| jdƒ| j| j| jdœS )Nr )r
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r r r r r r r Úto_dict s
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øzPrediction.to_dict)Ú__name__Ú
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e d œd d!„ZdS )$ÚPredictionEnginez+Predicts future states from reality signalsc C s | ¡ | _d S )N)Ú_load_prediction_modelsÚmodelsr r r r Ú__init__+ s zPredictionEngine.__init__r c C s> g d¢dddœg d¢dddœg d¢d ddœg d
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z,Load prediction models for different signals)Úretail_densityÚpedestrian_flowÚ rent_burdenÚmaintenance_qualityg{®Gáz”?T)r Z trend_factorZ seasonality)Úlightingr, r. Zinformal_economyg¸ …ëQ¸Ž?F)Z
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playgroundÚgreeneryÚ safety_indexZschoolsZ noise_levelg{®Gáz„?)Z walkabilityZtransit_accessr0 r1 r+ g¸ …ëQ¸ž?)Ú vacancy_rateZ
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crime_riskZfamily_friendlyZproperty_valuer r r r r r( . s" ýýýýðz(PredictionEngine._load_prediction_modelséZ N)Úsignal_historyr
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Predict future value of a signal
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Args:
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signal_history: Historical signal values
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target: Signal type to predict
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horizon_days: Prediction horizon (30, 90, 365)
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scenario: Optional scenario (e.g., "add 40 trees")
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Returns:
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Prediction result
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r é ÚnameN)r
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r r r )r) ÚgetÚ_get_current_valueÚ_calculate_trendÚ_calculate_scenario_effectÚ_calculate_confidenceÚ_identify_driversr )
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r r Úmodelr ÚtrendZscenario_effectÚmonthsr r
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r r r r ÚpredictG s& ùzPredictionEngine.predict)r4 Útargetsr r c C s< i }|D ] }| |||¡}| ¡ ||< q||t ¡ ¡ dœS )zPredict multiple targets)r Ú predictionsÚ timestamp)r@ r r ÚutcnowÚ isoformat)r r4 rA r rB r
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Úpredr r r Úpredict_multiple{ s
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Compare multiple scenarios
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Example scenarios:
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- {"name": "add_40_trees", "changes": {"tree_coverage": 40}}
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- {"name": "improve_lighting", "changes": {"lighting": 20}}
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cost_estimateÚunknown)r r Ú improvementÚimprovement_percentrI Úroic S s | d S )NrK r )Úxr r r Ú<lambda>¯ ó z4PredictionEngine.scenario_analysis.<locals>.<lambda>T)ÚkeyÚreverser r N)r
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rH ÚresultsrS r rF rK r r r Úscenario_analysisŽ s&
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r c s* ‡ fdd„|D ƒ}|r&|d dd¡S dS )z Get current value from historyc s g | ]}| d ¡ˆ kr|‘qS ©Ú signal_type©r7 ©Ú.0Ús©r
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r c C s2 | di ¡}d}| ¡ D ]\}}||d 7 }q|S )z Calculate effect of a scenarioÚchangesr g à?)r7 Úitems)r r r
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rh Z total_effectr[ Úchanger r r r: Ê s
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d œ¡ q|S ) z#Identify key drivers for predictionr c s g | ]}| d ¡ˆ kr|‘qS rZ r\ r] ©Z driver_typer r ra ì rP z6PredictionEngine._identify_drivers.<locals>.<listcomp>c s s | ]}| d d¡V qdS )rc rd Nr\ r] r r r Ú <genexpr>î rP z5PredictionEngine._identify_drivers.<locals>.<genexpr>r r5 éF ÚhighÚmedium)r[ r Úimpact)r7 Úsumrf rU r )r r4 r
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