62 lines
2.1 KiB
Python
62 lines
2.1 KiB
Python
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from __future__ import annotations
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from typing import Any
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from .growth_simulation import (
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CurrentFarmChartSimulator,
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GrowthSimulationError,
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_fa_engine_name,
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_fa_model_name,
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)
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def build_yield_prediction_payload(
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*,
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farm_uuid: str,
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plant_name: str | None = None,
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irrigation_recommendation: dict[str, Any] | None = None,
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fertilization_recommendation: dict[str, Any] | None = None,
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) -> dict[str, Any]:
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simulator = CurrentFarmChartSimulator()
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result = simulator.simulate(
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farm_uuid=farm_uuid,
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plant_name=plant_name,
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irrigation_recommendation=irrigation_recommendation,
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fertilization_recommendation=fertilization_recommendation,
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)
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yield_estimate = float((result.get("metrics") or {}).get("yield_estimate") or 0.0)
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predicted_yield_tons = round(max(yield_estimate / 1000.0, 0.0), 2)
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return {
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"farm_uuid": farm_uuid,
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"plant_name": result.get("plant_name"),
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"predictedYieldTons": predicted_yield_tons,
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"predictedYieldRaw": round(yield_estimate, 2),
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"unit": "تن",
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"sourceUnit": "کیلوگرم در هکتار",
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"simulationEngine": _fa_engine_name(result.get("engine")),
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"simulationModel": _fa_model_name(result.get("model_name")),
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"scenarioId": result.get("scenario_id"),
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"simulationWarning": result.get("simulation_warning"),
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"supportingMetrics": result.get("metrics") or {},
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}
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class YieldPredictionService:
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def get_yield_prediction(
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self,
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*,
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farm_uuid: str,
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plant_name: str | None = None,
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irrigation_recommendation: dict[str, Any] | None = None,
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fertilization_recommendation: dict[str, Any] | None = None,
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) -> dict[str, Any]:
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try:
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return build_yield_prediction_payload(
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farm_uuid=farm_uuid,
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plant_name=plant_name,
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irrigation_recommendation=irrigation_recommendation,
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fertilization_recommendation=fertilization_recommendation,
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)
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except GrowthSimulationError:
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raise
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