27 lines
1.2 KiB
Python
27 lines
1.2 KiB
Python
from datetime import date, timedelta
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from dashboard_data.card_utils import average, safe_number
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def build_harvest_prediction_card(sensor_id: str, context: dict | None = None, ai_bundle: dict | None = None) -> dict:
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context = context or {}
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forecasts = context.get("forecasts", [])
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plants = context.get("plants", [])
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avg_temp = average([forecast.temperature_mean for forecast in forecasts], default=24)
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moisture_factor = safe_number(getattr(context.get("sensor"), "soil_moisture", None), 50)
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days_until = max(10, int(90 - avg_temp - (moisture_factor / 5)))
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target_date = date.today() + timedelta(days=days_until)
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window_start = target_date - timedelta(days=3)
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window_end = target_date + timedelta(days=3)
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plant_name = plants[0].name if plants else "محصول"
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return {
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"date": str(target_date),
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"dateFormatted": f"{target_date.day} {target_date.strftime('%B')} {target_date.year}",
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"daysUntil": days_until,
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"description": f"بر اساس دمای فعلی، رطوبت خاک و اطلاعات {plant_name}. بازه بهینه برداشت محاسبه شده است.",
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"optimalWindowStart": str(window_start),
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"optimalWindowEnd": str(window_end),
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}
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