Ai/dashboard_data/cards/water_need_prediction.py

from irrigation.evapotranspiration import calculate_forecast_water_needs, resolve_crop_profile


def build_water_need_prediction(sensor_id: str, context: dict | None = None, ai_bundle: dict | None = None) -> dict:
    context = context or {}
    forecasts = context.get("forecasts", [])
    location = context.get("location")
    plants = context.get("plants", [])
    irrigation_methods = context.get("irrigation_methods", [])

    if not forecasts or location is None:
        return {
            "totalNext7Days": 0,
            "unit": "mm",
            "categories": [],
            "series": [],
            "dailyBreakdown": [],
        }

    plant = plants[0] if plants else None
    crop_profile = resolve_crop_profile(plant)
    efficiency = getattr(irrigation_methods[0], "water_efficiency_percent", None) if irrigation_methods else None
    daily = calculate_forecast_water_needs(
        forecasts=forecasts[:7],
        latitude_deg=float(location.latitude),
        crop_profile=crop_profile,
        growth_stage=crop_profile.get("current_stage"),
        irrigation_efficiency_percent=efficiency,
    )
    daily_requirements = [round(item["gross_irrigation_mm"], 2) for item in daily]

    return {
        "totalNext7Days": round(sum(daily_requirements), 2),
        "unit": "mm",
        "categories": [f"روز {index}" for index in range(1, len(daily_requirements) + 1)],
        "series": [{"name": "نیاز آبی تعدیل‌شده", "data": daily_requirements}],
        "dailyBreakdown": daily,
    }