from __future__ import annotations

from typing import Any

from farm_data.models import SensorData
from .remote_sensing import fetch_or_get_ndvi_observation


def _ndvi_explanation(observation, ai_bundle: dict | None = None) -> str:
    ai_bundle = ai_bundle or {}
    ai_payload = ai_bundle.get("ndviHealthCard", {}) if isinstance(ai_bundle, dict) else {}
    explanation = ai_payload.get("explanation")
    if isinstance(explanation, str) and explanation.strip():
        return explanation.strip()
    return (
        f"میانگین NDVI مزرعه {observation.mean_ndvi} ثبت شده و کلاس سلامت پوشش گیاهی "
        f"در وضعیت {observation.vegetation_health_class} قرار دارد."
    )


def _build_ndvi_health_card(location: Any, ai_bundle: dict | None = None) -> dict[str, Any]:
    if location is None:
        return {
            "mean_ndvi": None,
            "ndvi_map": {},
            "vegetation_health_class": None,
            "observation_date": None,
            "satellite_source": None,
            "healthData": [],
        }

    observation = fetch_or_get_ndvi_observation(location)
    if observation is None:
        return {
            "mean_ndvi": None,
            "ndvi_map": {},
            "vegetation_health_class": "Unavailable",
            "observation_date": None,
            "satellite_source": None,
            "healthData": [
                {
                    "title": "وضعیت NDVI",
                    "value": "داده ماهواره‌ای موجود نیست",
                    "color": "warning",
                    "icon": "tabler-satellite-off",
                },
            ],
        }

    mean_value = round(observation.mean_ndvi, 2)
    vegetation_class = observation.vegetation_health_class
    return {
        "ndviIndex": mean_value,
        "mean_ndvi": mean_value,
        "ndvi_map": observation.ndvi_map,
        "vegetation_health_class": vegetation_class,
        "observation_date": observation.observation_date.isoformat(),
        "satellite_source": observation.satellite_source,
        "healthData": [
            {
                "title": "سلامت پوشش گیاهی",
                "value": vegetation_class,
                "color": "success" if mean_value > 0.6 else "warning" if mean_value >= 0.4 else "error",
                "icon": "tabler-plant",
            },
            {
                "title": "تاریخ مشاهده",
                "value": observation.observation_date.isoformat(),
                "color": "info",
                "icon": "tabler-calendar",
            },
            {
                "title": "تفسیر",
                "value": _ndvi_explanation(observation, ai_bundle=ai_bundle),
                "color": "primary",
                "icon": "tabler-message-2",
            },
        ],
    }


class NdviHealthService:
    def get_ndvi_health(self, *, farm_uuid: str) -> dict[str, Any]:
        sensor = (
            SensorData.objects.select_related("center_location")
            .filter(farm_uuid=farm_uuid)
            .first()
        )
        if sensor is None:
            raise ValueError("Farm not found.")

        return _build_ndvi_health_card(sensor.center_location, ai_bundle=None)