from dashboard_data.card_utils import safe_number


def build_economic_overview(sensor_id: str, context: dict | None = None, ai_bundle: dict | None = None) -> dict:
    sensor = (context or {}).get("sensor")
    forecasts = (context or {}).get("forecasts", [])
    if sensor is None:
        return {"economicData": [], "chartSeries": [], "chartCategories": []}

    water_cost = round(sum(max(0, safe_number(forecast.et0, 0) * 20) for forecast in forecasts[:6]))
    fertilizer_need = round((safe_number(sensor.nitrogen, 0) + safe_number(sensor.phosphorus, 0) + safe_number(sensor.potassium, 0)) / 3)
    revenue = round(max(1000, water_cost * 4.5))

    return {
        "economicData": [
            {
                "title": "هزینه آب",
                "value": f"€{water_cost}",
                "subtitle": "این ماه",
                "avatarIcon": "tabler-droplet",
                "avatarColor": "primary",
            },
            {
                "title": "صرفه‌جویی آب هوشمند",
                "value": f"€{round(water_cost * 0.18)}",
                "subtitle": "۱۸٪ صرفه‌جویی شده",
                "avatarIcon": "tabler-bulb",
                "avatarColor": "success",
            },
            {
                "title": "بازده سرمایه پلتفرم",
                "value": "127%",
                "subtitle": "نسبت به سال گذشته",
                "avatarIcon": "tabler-chart-line",
                "avatarColor": "info",
            },
            {
                "title": "پیش‌بینی درآمد",
                "value": f"€{round(revenue / 1000)}k",
                "subtitle": "این فصل",
                "avatarIcon": "tabler-currency-euro",
                "avatarColor": "success",
            },
        ],
        "chartSeries": [
            {"name": "هزینه آب", "data": [max(1, round(water_cost / 6)) for _ in range(6)]},
            {"name": "کود", "data": [max(1, round(fertilizer_need / 6)) for _ in range(6)]},
        ],
        "chartCategories": ["ژانویه", "فوریه", "مارس", "آوریل", "می", "ژوئن"],
    }