from google.cloud import firestore

import datetime
import logging

from spotframework.engine.playlistengine import PlaylistEngine
from spotframework.engine.filter.shuffle import Shuffle
from spotframework.engine.filter.sortreversereleasedate import SortReverseReleaseDate
from spotframework.engine.filter.deduplicatebyid import DeduplicateByID

from spotframework.net.network import Network
from spotframework.net.user import User

db = firestore.Client()

captured_playlists = []

logger = logging.getLogger(__name__)


def run_user_playlist(username, playlist_name):

    users = [i for i in db.collection(u'spotify_users').where(u'username', u'==', username).stream()]

    logger.info(f'running {username} / {playlist_name}')

    if len(users) == 1:

        user_dict = users[0].to_dict()

        playlist_collection = db.collection(u'spotify_users', u'{}'.format(users[0].id), 'playlists')

        playlists = [i for i in playlist_collection.where(u'name', u'==', playlist_name).stream()]

        if len(playlists) == 1:

            playlist_dict = playlists[0].to_dict()

            if playlist_dict['playlist_id'] is None:
                logger.critical(f'no playlist id to populate ({username}/{playlist_name})')
                return None

            if len(playlist_dict['parts']) == 0 and len(playlist_dict['playlist_references']) == 0:
                logger.critical(f'no playlists to use for creation ({username}/{playlist_name})')
                return None

            spotify_keys = db.document('key/spotify').get().to_dict()

            net = Network(User(spotify_keys['clientid'],
                               spotify_keys['clientsecret'],
                               user_dict['access_token'],
                               user_dict['refresh_token']))

            engine = PlaylistEngine(net)
            engine.load_user_playlists()

            processors = [DeduplicateByID()]

            if playlist_dict['shuffle'] is True:
                processors.append(Shuffle())
            else:
                processors.append(SortReverseReleaseDate())

            global captured_playlists
            captured_playlists = []

            submit_parts = playlist_dict['parts'] + generate_parts(users[0].id, playlist_dict['name'])

            submit_parts = [i for i in {j for j in submit_parts}]

            if playlist_dict['type'] == 'recents':
                boundary_date = datetime.datetime.now() - datetime.timedelta(days=int(playlist_dict['day_boundary']))
                tracks = engine.get_recent_playlist(boundary_date,
                                                    submit_parts,
                                                    processors,
                                                    include_recommendations=playlist_dict['include_recommendations'],
                                                    recommendation_limit=int(playlist_dict['recommendation_sample']),
                                                    add_this_month=playlist_dict.get('add_this_month', False),
                                                    add_last_month=playlist_dict.get('add_last_month', False))
            else:
                tracks = engine.make_playlist(submit_parts,
                                              processors,
                                              include_recommendations=playlist_dict['include_recommendations'],
                                              recommendation_limit=int(playlist_dict['recommendation_sample']))

            engine.execute_playlist(tracks, playlist_dict['playlist_id'])

            overwrite = playlist_dict.get('description_overwrite', None)
            suffix = playlist_dict.get('description_suffix', None)

            engine.change_description(sorted(submit_parts),
                                      playlist_dict['playlist_id'],
                                      overwrite=overwrite,
                                      suffix=suffix)

        else:
            logger.critical(f'multiple/no playlists found ({username}/{playlist_name})')
            return None

    else:
        logger.critical(f'multiple/no user(s) found ({username}/{playlist_name})')
        return None


def generate_parts(user_id, name):

    playlist_doc = [i.to_dict() for i in
                    db.document(u'spotify_users/{}'.format(user_id))
                    .collection(u'playlists')
                    .where(u'name', '==', name).stream()][0]

    return_parts = playlist_doc['parts']

    captured_playlists.append(name)

    for i in playlist_doc['playlist_references']:
        if i not in captured_playlists:
            return_parts += generate_parts(user_id, i)

    return return_parts