import warnings
from pathlib import Path

import geopandas as gpd
import pandas as pd

__version__ = "0.1.0"
__author__ = "Pierrick Rambaud"
__email__ = "pierrick.rambaud49@gmail.com"

__gadm_version__ = "410"  # 4.1
__gadm_url__ = "https://geodata.ucdavis.edu/gadm/gadm4.1/json/gadm41_{}_{}.json"
__gadm_data__ = Path(__file__).parent / "data" / "gadm_database.parquet"


def get_items(
    name: str = "", admin: str = "", content_level: int = -1
) -> gpd.GeoDataFrame:
    """
    Return the requested administrative boundaries using the name or the administrative code

    Return a Geopandas GeoDataFrame representing an administrative region. The region can be requested either by its "name" or its "admin", the lib will identify the area level on the fly. The user can also request for a specific level for the GeoDataFrame features e.g. get all admin level 1 of a country. If nothing is set we will infer the level of the item and if the level is higher than the found item, it will be ignored. If Nothing is found the method will return an error.

    Args:
        name: The name of an administrative area. Cannot be set along with :code:`admin`.
        admin: The id of an administrative area in the GADM nomenclature. Cannot be set along with :code:`name`.
        content_level: The level to use in the final dataset. Default to -1 (use level from the area).

    Returns:
        The GeoDataFrame of the requested area with all the GADM attributes.
    """

    # call to get_names without level to raise an error if the requested level won't work
    df = get_names(name, admin)
    if len(df) > 1:
        raise ValueError(
            f'The requested name ("{name}") is not unique ({len(df)} results). To retreive it, please use the `admin` parameter instead. If you don\'t know the GADM code, use the following code, it will return the GADM codes as well:\n`get_names(name="{name}")`'
        )
    level = df.columns[0].replace("NAME_", "")
    iso_3 = df.iloc[0][f"GID_{level}"][:3]

    # now load the usefull one to get content_level
    df = get_names(name, admin, content_level)
    content_level = df.columns[0].replace("NAME_", "")

    # checks have already been performed in get_names
    column = "NAME_{}" if name else "GID_{}"
    id = name if name else admin

    # read the data from server
    level_gdf = gpd.read_file(__gadm_url__.format(iso_3, content_level))
    level_gdf.rename(columns={"COUNTRY": "NAME_0"}, inplace=True)
    gdf = level_gdf[level_gdf[column.format(level)].str.fullmatch(id, case=False)]

    return gdf


def get_names(name: str = "", admin: str = "", content_level: int = -1) -> pd.DataFrame:
    """
    Return the list of names available in a administrative layer using the name or the administrative code

    Return a pandas DataFrame of the names ad GADM code of an administrative region. The region can be requested either by its "name" or its "admin", the lib will identify the coresponding level on the fly. The user can also request for a specific level for its content e.g. get all admin level 1 of a country. If nothing is set we will infer the level of the item and if the level is higher than the found item, it will be ignored. If Nothing is found the method will return an error.

    Args:
        name: The name of a administrative area. Cannot be set along with :code:`admin`.
        admin: The id of an administrative area in the GADM nomenclature. Cannot be set along with :code:`name`.
        content_level: The level to use in the final dataset. Default to -1 (use level of the selected area).

    Returns:
        The list of all the available names.
    """

    # sanitary check on parameters
    if name and admin:
        raise ValueError('"name" and "id" cannot be set at the same time.')
    elif not name and not admin:
        raise ValueError('at least "name" or "id" need to be set.')

    # set the id we look for and tell the function if its a name or an admin
    is_name = True if name else False
    id = name if name else admin

    # read the data and find if the element exist
    df = pd.read_parquet(__gadm_data__)
    column = "NAME_{}" if is_name else "GID_{}"
    is_in = (
        df.filter([column.format(i) for i in range(6)])
        .apply(lambda col: col.str.lower())
        .isin([id.lower()])
    )

    if not is_in.any().any():
        raise Exception(f'The requested "{id}" is not part of GADM')

    # Get the iso_3 of the associated country of the identifed area and the associated level
    line = is_in[~((~is_in).all(axis=1))].idxmax(1)
    level = line.iloc[0][5 if is_name else 4]  # GID_ or NAME_

    # load the max_level available in the requested area
    sub_df = df[df[column.format(level)].str.fullmatch(id, case=False)]
    max_level = next(i for i in reversed(range(6)) if (sub_df[f"GID_{i}"] != "").any())

    # get the request level from user
    if content_level == -1:
        content_level = level
    elif content_level < int(level):
        warnings.warn(
            f"The requested level ({content_level}) is higher than the area ({level}). Fallback to {level}."
        )
        content_level = level

    if int(content_level) > max_level:
        warnings.warn(
            f"The requested level ({content_level}) is higher than the max level in this country ({max_level}). Fallback to {max_level}."
        )
        content_level = max_level

    # get the columns name to display
    columns = [f"NAME_{content_level}", f"GID_{content_level}"]

    return sub_df[columns].drop_duplicates(ignore_index=True)
