# © Copyright IBM Corporation 2025
# SPDX-License-Identifier: Apache-2.0


import xarray as xr
import logging

from typing import Any, Union

from .connector import Connector
from .geodata_utils import (
    load_and_list_collections,
)

logger = logging.getLogger(__name__)

######################################################################################################
###  Supporting functions
######################################################################################################


######################################################################################################
###  Connector class
######################################################################################################


class ConnectorTemplate(Connector):
    """
    Attributes:
        connector_type (str): Name of connector
        collections (list): A list of available collections.
        collections_details (list): Detailed information about the collections.
    """

    def __init__(self):
        """
        Initialize SentinelHub with collections and configuration.
        """
        self.connector_type: str = "<new_connector>"
        self.collections: list[Any] = load_and_list_collections(
            connector_type=self.connector_type
        )
        self.collections_details: list[Any] = load_and_list_collections(
            as_json=True, connector_type=self.connector_type
        )

    def list_collections(self) -> list[Any]:
        """
        Lists the available collections.

        Returns:
            list: A list of collection names.
        """
        logger.info("Listing available collections")
        return self.collections

    def find_data(
        self,
        data_collection_name: str,
        date_start: str,
        date_end: str,
        area_polygon=None,
        bbox=None,
        bands=[],
        maxcc=100,
        data_connector_spec=None,
    ) -> Union[tuple[list[Any], list[dict[str, Any]]], tuple[None, None]]:
        """
        This function retrieves unique dates and corresponding data results from a specified Sentinel Hub data collection.

        Args:
            data_collection_name (str): The name of the Sentinel Hub data collection to search.
            date_start (str): The start date for the time interval in 'YYYY-MM-DD' format.
            date_end (str): The end date for the time interval in 'YYYY-MM-DD' format.
            area_polygon (Polygon, optional): A polygon defining the area of interest.
            bbox (tuple, optional): A bounding box defining the area of interest in the format (minx, miny, maxx, maxy).
            bands (list, optional): A list of bands to retrieve. Defaults to [].
            maxcc (int, optional): The maximum cloud cover percentage for the data. Default is 100 (no cloud cover filter).
            data_connector_spec (list, optional): A dictionary containing the data connector specification.

        Returns:
            tuple: A tuple containing a sorted list of unique dates and a list of data results.
        """
        unique_dates: list[str] = []
        results: list[dict[str, Any]] = [{}]
        return unique_dates, results

    def get_data(
        self,
        data_collection_name,
        date_start,
        date_end,
        area_polygon=None,
        bbox=None,
        bands=[],
        maxcc=100,
        data_connector_spec=None,
        save_file=None,
        working_dir=".",
    ):
        """
        Fetches data from SentinelHub for the specified collection, date range, area, and bands.

        Args:
            data_collection_name (str): Name of the data collection to fetch data from.
            date_start (str): Start date for the data retrieval (inclusive), in 'YYYY-MM-DD' format.
            date_end (str): End date for the data retrieval (inclusive), in 'YYYY-MM-DD' format.
            area_polygon (list, optional): Polygon defining the area of interest. Defaults to None.
            bbox (list, optional): Bounding box defining the area of interest. Defaults to None.
            bands (list, optional): List of bands to retrieve. Defaults to all bands.
            maxcc (int, optional): Maximum cloud cover threshold (0-100). Defaults to 100.
            data_connector_spec (dict, optional): Data connector specification. Defaults to None.
            save_file (str, optional): Path to save the output file. Defaults to None.
            working_dir (str, optional): Working directory for temporary files. Defaults to '.'.

        Returns:
            xarray: An xarray Datasets containing the fetched data with dimensions (time, band, y, x).
        """
        da = xr.DataArray()
        return da
