from datetime import date

from dashboard_data.card_utils import safe_number


def build_yield_prediction_chart(sensor_id: str, context: dict | None = None, ai_bundle: dict | None = None) -> dict:
    sensor = (context or {}).get("sensor")
    if sensor is None:
        return {"categories": [], "series": [], "summary": []}

    base = max(10, round(safe_number(sensor.soil_moisture, 0) * 0.6))
    current_year = [base + offset for offset in [0, 2, 4, 6, 8, 10, 12, 11, 9, 7, 5, 4]]
    last_year = [value - 3 for value in current_year]
    harvest_month = "حدود " + str(date.today().month)

    return {
        "categories": ["ژانویه", "فوریه", "مارس", "آوریل", "می", "ژوئن", "ژوئیه", "آگوست", "سپتامبر", "اکتبر", "نوامبر", "دسامبر"],
        "series": [
            {"name": "امسال", "data": current_year},
            {"name": "سال گذشته", "data": last_year},
        ],
        "summary": [
            {
                "title": "عملکرد پیش‌بینی‌شده",
                "subtitle": "این فصل",
                "amount": f"{current_year[9]} تن",
                "avatarColor": "primary",
                "avatarIcon": "tabler-chart-bar",
            },
            {
                "title": "تاریخ برداشت",
                "subtitle": harvest_month,
                "amount": "+8%",
                "avatarColor": "success",
                "avatarIcon": "tabler-calendar",
            },
        ],
    }