from __future__ import annotations

from datetime import date, timedelta
from typing import Any

from farm_data.services import get_canonical_farm_record, get_runtime_plant_for_farm
from plant.gdd import resolve_growth_profile

from .growth_simulation import (
    DEFAULT_DYNAMIC_PARAMETERS,
    DEFAULT_PAGE_SIZE,
    GrowthSimulationError,
    _run_simulation,
    build_growth_context,
)


def _safe_float(value: Any, default: float = 0.0) -> float:
    try:
        if value in (None, ""):
            return default
        return float(value)
    except (TypeError, ValueError):
        return default


def _harvest_description(
    *,
    plant_name: str,
    current_gdd: float,
    required_gdd: float,
    remaining_gdd: float,
    estimated_days: int,
    maturity_reached_in_simulation: bool,
) -> str:
    if maturity_reached_in_simulation:
        return (
            f"شبيه ساز رشد نشان مي دهد {plant_name} با روند فعلي در حدود {estimated_days} روز ديگر "
            f"به بازه برداشت مي رسد. تا امروز {round(current_gdd, 1)} واحد-روز رشد ثبت شده و "
            f"نياز باقيمانده تا بلوغ حدود {round(remaining_gdd, 1)} واحد-روز است."
        )
    return (
        f"شبيه ساز تا انتهاي forecast هنوز به رسيدگي کامل نرسيده، اما با ميانگين رشد فعلي "
        f"براورد مي شود {plant_name} حدود {estimated_days} روز ديگر به برداشت برسد. "
        f"تا امروز {round(current_gdd, 1)} از {round(required_gdd, 1)} واحد-روز مورد نياز طي شده است."
    )


def build_harvest_prediction_payload(
    *,
    farm_uuid: str,
    plant_name: str | None = None,
    irrigation_recommendation: dict[str, Any] | None = None,
    fertilization_recommendation: dict[str, Any] | None = None,
) -> dict[str, Any]:
    resolved_plant_name = plant_name
    if not resolved_plant_name:
        farm = get_canonical_farm_record(farm_uuid)
        if farm is None:
            raise GrowthSimulationError("مزرعه پیدا نشد.")
        plant = get_runtime_plant_for_farm(farm)
        if plant is None:
            raise GrowthSimulationError("گیاهی برای مزرعه انتخاب شده پیدا نشد.")
        resolved_plant_name = plant.name

    context = build_growth_context(
        {
            "farm_uuid": farm_uuid,
            "plant_name": resolved_plant_name,
            "dynamic_parameters": DEFAULT_DYNAMIC_PARAMETERS,
            "page_size": DEFAULT_PAGE_SIZE,
        }
    )
    simulation_result, scenario_id, simulation_warning = _run_simulation(
        context,
        irrigation_recommendation=irrigation_recommendation,
        fertilization_recommendation=fertilization_recommendation,
    )
    daily_output = simulation_result.get("daily_output") or []
    if not daily_output:
        raise GrowthSimulationError("هیچ خروجی شبیه سازی در دسترس نیست.")

    profile = resolve_growth_profile(context.plant)
    required_gdd = _safe_float(profile.get("required_gdd_for_maturity"), 1200.0)
    current_gdd = _safe_float(profile.get("current_cumulative_gdd"), 0.0)

    cumulative_gdd = current_gdd
    maturity_date = None
    daily_gdd_forecast = []
    for item in daily_output:
        day_gdd = _safe_float(item.get("GDD"), 0.0)
        cumulative_gdd += day_gdd
        day_value = item.get("DAY")
        iso_day = day_value.isoformat() if isinstance(day_value, date) else str(day_value)
        daily_gdd_forecast.append(
            {
                "date": iso_day,
                "gdd": round(day_gdd, 3),
                "cumulative_gdd": round(cumulative_gdd, 3),
                "development_stage": round(_safe_float(item.get("DVS"), 0.0), 4),
            }
        )
        if _safe_float(item.get("DVS"), 0.0) >= 2.0 or cumulative_gdd >= required_gdd:
            maturity_date = date.fromisoformat(iso_day)
            break

    maturity_reached_in_simulation = maturity_date is not None
    if maturity_date is None:
        last_day = date.fromisoformat(str(daily_output[-1].get("DAY")))
        simulated_days = max(len(daily_output), 1)
        avg_daily_gdd = max((cumulative_gdd - current_gdd) / simulated_days, 0.0)
        remaining_after_simulation = max(required_gdd - cumulative_gdd, 0.0)
        extra_days = 0
        if avg_daily_gdd > 0 and remaining_after_simulation > 0:
            extra_days = int(remaining_after_simulation / avg_daily_gdd)
            if remaining_after_simulation % avg_daily_gdd:
                extra_days += 1
        maturity_date = last_day + timedelta(days=max(extra_days, 0))

    remaining_gdd = max(required_gdd - current_gdd, 0.0)
    days_until = max((maturity_date - date.today()).days, 0)
    window_start = maturity_date - timedelta(days=3)
    window_end = maturity_date + timedelta(days=3)

    return {
        "date": maturity_date.isoformat(),
        "dateFormatted": f"{maturity_date.day} {maturity_date.strftime('%B')} {maturity_date.year}",
        "daysUntil": days_until,
        "description": _harvest_description(
            plant_name=context.plant_name,
            current_gdd=current_gdd,
            required_gdd=required_gdd,
            remaining_gdd=remaining_gdd,
            estimated_days=days_until,
            maturity_reached_in_simulation=maturity_reached_in_simulation,
        ),
        "optimalWindowStart": window_start.isoformat(),
        "optimalWindowEnd": window_end.isoformat(),
        "gddDetails": {
            "current_cumulative_gdd": round(current_gdd, 3),
            "required_gdd_for_maturity": round(required_gdd, 3),
            "remaining_gdd": round(remaining_gdd, 3),
            "estimated_days_to_harvest": days_until,
            "predicted_harvest_date": maturity_date.isoformat(),
            "predicted_harvest_window": {
                "start": window_start.isoformat(),
                "end": window_end.isoformat(),
            },
            "daily_gdd_forecast": daily_gdd_forecast,
            "simulation_engine": simulation_result.get("engine"),
            "simulation_model_name": simulation_result.get("model_name"),
            "simulation_warning": simulation_warning,
            "scenario_id": scenario_id,
        },
    }


class HarvestPredictionService:
    def get_harvest_prediction(
        self,
        *,
        farm_uuid: str,
        plant_name: str | None = None,
        irrigation_recommendation: dict[str, Any] | None = None,
        fertilization_recommendation: dict[str, Any] | None = None,
    ) -> dict[str, Any]:
        return build_harvest_prediction_payload(
            farm_uuid=farm_uuid,
            plant_name=plant_name,
            irrigation_recommendation=irrigation_recommendation,
            fertilization_recommendation=fertilization_recommendation,
        )