"""
PvlibTracker: lightweight single-axis tracker angle calculator using pvlib.

Provides GPS-based axis azimuth computation and pvlib single-axis tracking
as a complement / validation layer for the main ShadowModel.

Adapted from the tracker repo's AsyncSolarTrackerSystem — made synchronous
and simplified for Baseline integration.
"""

from __future__ import annotations

import logging
from datetime import datetime
from typing import Optional

import numpy as np
import pandas as pd
from pvlib import location, tracking

from config.settings import (
    ROW_AZIMUTH,
    SITE_ALTITUDE,
    SITE_LATITUDE,
    SITE_LONGITUDE,
    TRACKER_GCR,
    TRACKER_MAX_ANGLE,
)

logger = logging.getLogger(__name__)


def axis_azimuth_from_gps(
    head: tuple[float, float],
    tail: tuple[float, float],
) -> float:
    """Compute tracker axis azimuth from head/tail GPS coordinates.

    Uses the initial bearing (Haversine formula) between two points
    along the tracker rail to determine the compass direction.

    Parameters
    ----------
    head : (lat, lon)
        GPS coordinates of the tracker head (north end).
    tail : (lat, lon)
        GPS coordinates of the tracker tail (south end).

    Returns
    -------
    float
        Axis azimuth in degrees (0–360, clockwise from north).
    """
    lat1, lon1 = np.radians(head)
    lat2, lon2 = np.radians(tail)
    dlon = lon2 - lon1
    y = np.sin(dlon) * np.cos(lat2)
    x = np.cos(lat1) * np.sin(lat2) - np.sin(lat1) * np.cos(lat2) * np.cos(dlon)
    bearing = np.degrees(np.arctan2(y, x))
    return (bearing + 360) % 360


class PvlibTracker:
    """Single-axis tracker using pvlib for solar position and orientation.

    Parameters
    ----------
    latitude, longitude, altitude : float
        Site coordinates. Defaults to Yeruham vineyard.
    timezone : str
        IANA timezone.
    axis_azimuth : float, optional
        Tracker axis direction (degrees CW from north).
        If None, computed from ``head_gps`` / ``tail_gps``.
    head_gps, tail_gps : tuple[float, float], optional
        GPS coordinates (lat, lon) of tracker endpoints.
        Used to compute axis_azimuth if not given explicitly.
    max_angle : float
        Maximum tracker tilt angle (degrees).
    gcr : float
        Ground coverage ratio (panel width / row spacing).
    backtrack : bool
        Enable backtracking to avoid inter-row shading.
    """

    # Yeruham vineyard reference GPS coordinates for row axis direction.
    # All rows share the same NW-SE orientation; individual row offsets
    # are cross-row only and don't affect the axis azimuth.
    REFERENCE_GPS = {
        "head": (30.980222, 34.908192),
        "tail": (30.979471, 34.909118),
    }

    def __init__(
        self,
        latitude: float = SITE_LATITUDE,
        longitude: float = SITE_LONGITUDE,
        altitude: float = SITE_ALTITUDE,
        timezone: str = "Asia/Jerusalem",
        axis_azimuth: Optional[float] = None,
        head_gps: Optional[tuple[float, float]] = None,
        tail_gps: Optional[tuple[float, float]] = None,
        max_angle: float = TRACKER_MAX_ANGLE,
        gcr: float = TRACKER_GCR,
        backtrack: bool = True,
    ):
        self.site = location.Location(
            latitude, longitude, timezone, altitude, "Yeruham Vineyard",
        )
        self.timezone = timezone
        self.max_angle = max_angle
        self.gcr = gcr
        self.backtrack = backtrack

        if axis_azimuth is not None:
            self.axis_azimuth = axis_azimuth
        elif head_gps and tail_gps:
            self.axis_azimuth = axis_azimuth_from_gps(head_gps, tail_gps)
        else:
            # Default: use the configured row azimuth (consistent with ShadowModel)
            self.axis_azimuth = ROW_AZIMUTH

    def get_solar_position(self, timestamp: datetime) -> dict:
        """Get solar position for a single timestamp.

        Returns dict with ``solar_elevation``, ``solar_azimuth``,
        ``apparent_zenith``.
        """
        ts = pd.Timestamp(timestamp)
        if ts.tzinfo is None:
            ts = ts.tz_localize(self.timezone)
        times = pd.DatetimeIndex([ts])
        sp = self.site.get_solarposition(times)
        return {
            "solar_elevation": float(sp["apparent_elevation"].iloc[0]),
            "solar_azimuth": float(sp["azimuth"].iloc[0]),
            "apparent_zenith": float(sp["apparent_zenith"].iloc[0]),
        }

    def get_tracking_angle(self, timestamp: datetime) -> float:
        """Compute the optimal single-axis tracker tilt for a timestamp.

        Returns the tracker theta in degrees.
        Returns 0.0 when sun is below the horizon.
        """
        sp = self.get_solar_position(timestamp)
        if sp["solar_elevation"] <= 0:
            return 0.0

        result = tracking.singleaxis(
            sp["apparent_zenith"],
            sp["solar_azimuth"],
            axis_tilt=0,
            axis_azimuth=self.axis_azimuth,
            max_angle=self.max_angle,
            backtrack=self.backtrack,
            gcr=self.gcr,
        )
        theta = result["tracker_theta"]
        if pd.isna(theta):
            return 0.0
        return float(theta)

    def get_day_profile(
        self,
        target_date: datetime | None = None,
        freq: str = "15min",
    ) -> pd.DataFrame:
        """Compute tracker angles for an entire day.

        Returns DataFrame with columns: ``tracker_theta``, ``solar_elevation``,
        ``solar_azimuth``, indexed by timestamp.
        """
        if target_date is None:
            target_date = pd.Timestamp.now(tz=self.timezone).normalize()
        else:
            target_date = pd.Timestamp(target_date)
            if target_date.tzinfo is None:
                target_date = target_date.tz_localize(self.timezone)
            target_date = target_date.normalize()

        end = target_date + pd.Timedelta(days=1)
        times = pd.date_range(target_date, end, freq=freq, tz=self.timezone)

        sp = self.site.get_solarposition(times)
        tr = tracking.singleaxis(
            sp["apparent_zenith"],
            sp["azimuth"],
            axis_tilt=0,
            axis_azimuth=self.axis_azimuth,
            max_angle=self.max_angle,
            backtrack=self.backtrack,
            gcr=self.gcr,
        )

        return pd.DataFrame({
            "tracker_theta": tr["tracker_theta"],
            "solar_elevation": sp["apparent_elevation"],
            "solar_azimuth": sp["azimuth"],
        }, index=times)