import logging
from copy import deepcopy
from typing import List, Dict, Union, Set
import csv
import requests
import json
import sys
from datetime import datetime, timezone
from pathlib import Path

import pyexcel_ods3
import gspread

logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__file__)
logger.setLevel(logging.INFO)

overpass_api_url = 'https://lz4.overpass-api.de/api/interpreter'

overpass_query = '''
[out:json][timeout:90];
// area(3600049715) = Polska
area(3600049715)->.searchArea;
// gather results
(
  // query part for: “emergency=defibrillator”
  node[emergency=defibrillator](area.searchArea);
);
// print results
out body;
>;
out skel qt;'''

tag_name_mapping = {
    'defibrillator:location': 'lokalizacja (osm_tag:defibrillator:location)',
    'defibrillator:location:pl': 'lokalizacja_pl (osm_tag:defibrillator:location:pl)',
    'access': 'dostęp (osm_tag:access)',
    'indoor': 'czy wewnątrz budynku (osm_tag:indoor)',
    'location': 'czy wewnątrz budynku (osm_tag:location)',
    'description': 'opis (osm_tag:description)',
    'description:pl': 'opis_pl (osm_tag:description:pl)',
    'phone': 'telefon (osm_tag:phone)',
    'note': 'notatka (osm_tag:note)',
    'note:pl': 'notatka_pl (osm_tag:note:pl)',
    'opening_hours': 'godziny dostępności (osm_tag:opening_hours)',
    'wikimedia_commons': 'zdjęcie (osm_tag:wikimedia_commons)',
    'osm_id': 'id osm',
    'osm_node_url': 'url obiektu osm'
}

tags_to_keep = set([tag for tag in tag_name_mapping.keys() if tag not in ('osm_id', 'osm_node_url')])

prefix_to_add = {
    'wikimedia_commons': 'https://commons.wikimedia.org/wiki/',
    'osm_node_url': 'https://osm.org/node/'
}

geojson_template = {
    "type": "FeatureCollection",
    "features": [],
}


def geojson_point_feature(lat: float, lon: float, properties: Dict[str, str]) -> dict:
    return {
        "type": "Feature",
        "geometry": {
            "type": "Point",
            "coordinates": [lon, lat]
        },
        "properties": properties,
    }


def elements_from_overpass_api(api_url: str, query: str) -> List[dict]:
    logger.info(f'Requesting data from: {api_url}')
    try:
        response = requests.post(url=api_url, data={'data': query})
        response.raise_for_status()
        return response.json()['elements']
    except requests.RequestException:
        logger.error('Problem while querying Overpass API.', exc_info=True)
        return []


def save_json(file_path: Union[str, Path], data: dict) -> None:
    logger.info(f'Saving file: {file_path}...')
    with open(file=file_path, mode='w', encoding='utf-8') as f:
        json.dump(data, f, allow_nan=False)
    logger.info(f'Done saving file: {file_path}.')


def save_csv(file_path: Union[str, Path], data: List[dict], columns: List[str]) -> None:
    logger.info(f'Saving file: {file_path}...')
    with open(file=file_path, mode='w', encoding='utf-8') as f:
        csv_writer = csv.DictWriter(f, fieldnames=columns)
        csv_writer.writeheader()
        csv_writer.writerows(data)
    logger.info(f'Done saving file: {file_path}.')


def save_spreadsheet(file_path: str, data: Dict[str, list]) -> None:
    logger.info(f'Saving file: {file_path}...')
    pyexcel_ods3.save_data(file_path, data)
    logger.info(f'Done saving file: {file_path}.')


def load_geocoding_cache(file_path: Union[str, Path]) -> Dict[str, str]:
    raise NotImplemented()


def save_geocoding_cache(file_path: Union[str, Path]) -> None:
    raise NotImplemented()


def main_overpass(
    output_dir: Path,
    keep_tags: Union[bool, Set[str]],
    prefixes: Dict[str, str],
    col_name_map: Dict[str, str],
) -> None:

    geojson_file_path = output_dir.joinpath('aed_poland.geojson')
    csv_file_path = output_dir.joinpath('aed_poland.csv')
    spreadsheet_file_path = output_dir.joinpath('aed_poland.ods')
    json_metadata_file_path = output_dir.joinpath('aed_poland_metadata.json')

    ts = datetime.now(tz=timezone.utc).replace(microsecond=0)
    # call Overpass API
    elements = elements_from_overpass_api(api_url=overpass_api_url, query=overpass_query)

    # vars for data
    geojson = deepcopy(geojson_template)
    csv_row_list: List[Dict[str, str]] = []
    csv_columns_set: Set[str] = set()
    data_sheet_name = 'dane'
    metadata_sheet_name = 'metadane'
    spreadsheet_template = {metadata_sheet_name: [], data_sheet_name: []}
    spreadsheet_row_list: List[Dict[str, str]] = []

    logger.info('Processing data...')
    for element in elements:
        # prepare
        osm_id = element['id']
        longitude = element['lon']
        latitude = element['lat']
        if type(keep_tags) == bool and keep_tags is True:
            tags = {key: prefixes.get(key, '') + value for key, value in element['tags'].items()}
        elif type(keep_tags) == bool and keep_tags is False:
            tags = {}
        else:
            tags = {
                key: prefixes.get(key, '') + value for key, value in element['tags'].items() if key in tags_to_keep
            }
        geojson_properties = {'osm_id': osm_id, **tags}
        csv_attributes = {
            'osm_id': str(osm_id),
            'latitude': str(latitude),
            'longitude': str(longitude),
            **tags
        }
        spreadsheet_attributes = {
            'osm_id': str(osm_id),
            'osm_node_url': prefixes.get('osm_node_url', '') + str(osm_id),
            'latitude': str(latitude),
            'longitude': str(longitude),
            **tags
        }
        csv_columns_set.update(csv_attributes.keys())

        # append
        geojson['features'].append(
            geojson_point_feature(lat=latitude, lon=longitude, properties=geojson_properties)
        )
        csv_row_list.append(csv_attributes)
        spreadsheet_row_list.append(spreadsheet_attributes)

    number_of_rows = len(csv_row_list)
    sorted_csv_columns = list(sorted(list(csv_columns_set)))
    # prepare spreadsheet headers
    sorted_spreadsheet_columns = list(sorted(list(csv_columns_set) + ['osm_node_url']))
    mapped_spreadsheet_columns = [col_name_map.get(col, col) for col in sorted_spreadsheet_columns]
    spreadsheet_template[data_sheet_name].append(mapped_spreadsheet_columns)
    # add spreadsheet rows
    for row in spreadsheet_row_list:
        row_data = [row.get(col, '') for col in sorted_spreadsheet_columns]
        spreadsheet_template[data_sheet_name].append(row_data)

    # prepare metadata
    json_metadata = {
        'data_download_ts_utc': str(ts.isoformat()),
        'number_of_elements': number_of_rows,
    }
    spreadsheet_template[metadata_sheet_name] = [
        ['Czas pobrania danych z API', 'Liczba elementów'],
        [str(ts.isoformat()), number_of_rows],
    ]

    if number_of_rows > 0:
        logger.info(f'Prepared data to save. Number of rows: {number_of_rows}')
        save_json(file_path=geojson_file_path, data=geojson)
        save_csv(file_path=csv_file_path, data=csv_row_list, columns=sorted_csv_columns)
        save_spreadsheet(file_path=spreadsheet_file_path.as_posix(), data=spreadsheet_template)
        save_json(file_path=json_metadata_file_path, data=json_metadata)
    else:
        logger.error('Nothing to write.')


def main_google_sheets(output_dir: Path, config_files_dir: Path) -> None:
    sa_credentials_json_path = config_files_dir.joinpath('sa-credentials.json').resolve().as_posix()
    config_path = config_files_dir.joinpath('gsheetsurl').resolve().as_posix()

    custom_layer_file_path = output_dir.joinpath('custom_layer.geojson')
    geojson = deepcopy(geojson_template)
    gsheets_url = open(config_path, 'r').read()

    logger.info('Reading Google Sheets credentials.')
    gc = gspread.service_account(filename=sa_credentials_json_path)
    logger.info('Opening Google Sheets url.')
    gsheet = gc.open_by_url(gsheets_url)
    data = gsheet.worksheet('dane_raw').get_all_records()
    logger.info(f'Reading rows from Google Sheets. Rows to process: {len(data)}.')
    counter = 0
    for row in data:
        if (
            all([row['latitude'], row['longitude']])
            and row.get('import', 'UNKNOWN') == 'FALSE'
        ):
            geojson['features'].append(
                geojson_point_feature(lat=row['latitude'], lon=row['longitude'], properties={'type': row.get('typ')})
            )
            counter += 1
    logger.info(f'{counter} features to export.')
    if len(geojson['features']) > 0:
        save_json(file_path=custom_layer_file_path.as_posix(), data=geojson)


if __name__ == '__main__':

    this_files_dir = Path(__file__).parent.resolve()

    arg1 = Path(sys.argv[1]) if len(sys.argv) > 1 else this_files_dir
    if not arg1.is_dir():
        logger.error(f'Given path: "f{arg1}" is not a directory.')
        sys.exit()

    main_overpass(
        output_dir=arg1,
        keep_tags=tags_to_keep,
        prefixes=prefix_to_add,
        col_name_map=tag_name_mapping,
    )
    main_google_sheets(output_dir=arg1, config_files_dir=arg1)