"""Snowflake connector class for MRC tasks."""
import datetime

import config

from snowflake_connector.etl_connector import SQLLoader
from snowflake_connector.etl_connector import SnowflakeSQLExecutor

# Load SQL templates
sql_loader = SQLLoader(__file__)
looker_sql_loader = SQLLoader(__file__, folder='/looker_queries')


class SpotifyStatsSFExecutor(SnowflakeSQLExecutor):
    """Helper class to abstract Snowflake operations."""

    @property
    def stats_name(self):
        """Name of the stats.

        Should match dir name of this stats, stats_name
        in config.py of a statistics.

        Returns:
            str: Stats name, e.g. 'spotify_statistics'.
        """
        return config.STATS_NAME

    @property
    def artist_to_track_table(self):
        """Name of the artist_to_track table for the statistics.

        Returns:
            str: {stats}_artist_to_track table name.
        """
        return config.snowflake_table_names['spotify_artist_to_track']

    @property
    def spotify_statistics_table(self):
        """Name of the artist_to_track table for the statistics.

        Returns:
            str: {stats}_artist_to_track table name.
        """
        return config.snowflake_table_names['spotify_statistics']

    @property
    def staging_raw_table(self):
        """Name of the staging raw table for the statistics.

        Returns:
            str: staging raw table name.
        """
        return config.snowflake_table_names['staging_raw']

    def create_artist_link_table(self):
        """Create artists links table."""
        params = dict(
            db=self.sf_config['db'],
            schema=self.sf_config['schema'],
            table_name=self.artist_to_track_table)
        return self.fetchone_query(
            sql_loader, 'create_spotify_artist_to_track', params)

    def create_spotify_statistics(self):
        """Create spotify statistics historical table."""
        params = dict(
            db=self.sf_config['db'],
            schema=self.sf_config['schema'],
            table_name=self.spotify_statistics_table)
        return self.fetchone_query(
            sql_loader, 'create_spotify_statistics', params)

    def create_staging_raw_spotify_statistics(self):
        """Create staging raw spotify statistics historical table."""
        params = dict(
            db=self.sf_config['db'],
            schema=self.sf_config['schema'],
            table_name=self.staging_raw_table)
        return self.fetchone_query(
            sql_loader, 'create_spotify_statistics', params)

    def load_artist_link_table(
            self, aws=None, key_dir=None):
        """Load artists links table.

        Args:
            aws (dict): AWS credentials to fill a template of COPY SQL
                statement.
            key_dir (str): A S3 path to load files from.
            from_config (bool): load links from config.
        """
        params = dict(
            db=self.sf_config['db'],
            schema=self.sf_config['schema'],
            table_name=self.artist_to_track_table,
            s3_path=key_dir,
            aws_key_id=aws['access_key'],
            aws_secret_key=aws['access_secret'])
        self.execute_query(sql_loader, 'load_spotify_artists_to_track', params)

    def select_artists_links(self):
        """Select artists links from spotify_artist_to_track."""
        params = dict(
            db=self.sf_config['db'],
            schema=self.sf_config['schema'],
            table_name=self.artist_to_track_table)
        result = self.fetchall_query(sql_loader, 'select_artists', params)
        return result

    def select_artists_stats(self):
        """Load temp staging raw table."""
        params = dict(
            db=self.sf_config['db'],
            schema=self.sf_config['schema'],
            table_name=self.spotify_statistics_table)
        result = self.fetchall_query(
            sql_loader, 'select_artists_stats', params)
        return result

    def delete_from_staging_raw(self):
        """Select artists links from instagram_artist_to_track."""
        params = dict(
            db=self.sf_config['db'],
            schema=self.sf_config['schema'],
            staging_raw_table=self.staging_raw_table,
            date=datetime.datetime.today().strftime('%Y-%m-%d'))
        result = self.fetchall_query(
            sql_loader, 'delete_from_staging_raw', params)
        return result

    def update_artist_stats(self, stats: dict):
        """Load main statistics table."""
        stats['the_latest_release'] = '2000-01-01' if stats.get(
            'the_latest_release') is None else stats.get(
            'the_latest_release')
        params = dict(
            db=self.sf_config['db'],
            schema=self.sf_config['schema'],
            table_name=self.spotify_statistics_table,
            monthly_listeners=stats.get('current_monthly_listeners'),
            last_week_monthly_listeners=stats.get(
                'last_week_monthly_listeners'),
            weekly_change_in_monthly_listeners=stats.get(
                'weekly_change_in_monthly_listeners'),
            current_weekly_change_in_monthly_listeners=stats.get(
                'current_weekly_change_in_monthly_listeners'),
            daily_change_in_monthly_listeners=stats.get(
                'daily_change_in_monthly_listeners'),
            percentage_change_in_monthly_listeners=stats.get(
                'percentage_change_in_monthly_listeners'),
            acceleration_monthly_listeners=stats.get(
                'acceleration_monthly_listeners'),
            current_followers=stats.get('current_followers'),
            last_week_followers=stats.get('last_week_followers'),
            current_weekly_change_in_followers=stats.get(
                'current_weekly_change_in_followers'),
            weekly_change_in_followers=stats.get('weekly_change_in_followers'),
            daily_change_in_followers=stats.get('daily_change_in_followers'),
            percentage_change_in_followers=stats.get(
                'percentage_change_in_followers'),
            acceleration_followers=stats.get('acceleration_followers'),
            spotify_popularity=stats.get('current_popularity'),
            last_week_spotify_popularity=stats.get('last_week_popularity'),
            editorial_playlists_adds=stats.get(
                'current_editorial_playlists_adds'),
            editorial_playlists_adds_count=stats.get(
                'current_editorial_playlists_adds_count'),
            last_week_editorial_playlists_adds=stats.get(
                'last_week_editorial_playlists_adds'),
            last_week_editorial_playlists_adds_count=stats.get(
                'last_week_editorial_playlists_adds_count'),
            notable_playlists_adds=stats.get('current_notable_playlists_adds'),
            notable_playlists_adds_count=stats.get(
                'current_notable_playlists_adds_count'),
            last_week_notable_playlists_adds=stats.get(
                'last_week_notable_playlists_adds'),
            last_week_notable_playlists_adds_count=stats.get(
                'last_week_notable_playlists_adds_count'),
            the_latest_release=stats.get('the_latest_release'),
            last_processing_date=stats.get(
                'last_processing_date').strftime('%d-%m-%Y'),
            last_week_processing_date=stats.get(
                'last_week_processing_date').strftime('%d-%m-%Y'),
            artist=stats.get('id')
        )
        result = self.fetchall_query(
            sql_loader, 'update_artists_stats', params)
        return result

    def update_artist_stats_last_processing_date(
            self, artist: str, last_processing_date: datetime):
        """Update artists statistics table on failure."""
        params = dict(
            db=self.sf_config['db'],
            schema=self.sf_config['schema'],
            table_name=self.spotify_statistics_table,
            last_processing_date=last_processing_date.strftime('%d-%m-%Y'),
            artist=artist
        )
        result = self.fetchall_query(
            sql_loader, 'update_artists_stats_last_processing_date', params)
        return result

    def select_weekly_change(self, artist,
                             first_day_of_period=0,
                             last_day_of_period=-7):
        """Select artist weekly change in metrics from staging raw table."""
        params = dict(
            db=self.sf_config['db'],
            schema=self.sf_config['schema'],
            table_name=self.staging_raw_table,
            artist=artist,
            first_day_of_period=first_day_of_period,
            last_day_of_period=last_day_of_period
        )
        result = self.fetchall_query(
            sql_loader, 'select_weekly_change', params)
        try:
            weeklies = result[0] if len(result[0]) == 2 else [0] * 2
        except IndexError:
            weeklies = [0, 0]
        return dict(zip(['monthly_listeners', 'followers'], list(weeklies)))

    def update_stating_raw_spotify_stats(self):
        """Load staging raw table."""
        params = dict(
            db=self.sf_config['db'],
            schema=self.sf_config['schema'],
            table_name=self.spotify_statistics_table,
            staging_raw_table_name=self.staging_raw_table
        )
        result = self.fetchall_query(
            sql_loader, 'update_stating_raw_spotify_stats', params)
        return result

    def insert_artist_stats(
            self, artist, stats,
            table_name=config.snowflake_table_names['spotify_statistics']):
        """First Spotify statistics insertion."""
        stats['the_latest_release'] = \
            '2000-01-01' if stats.get(
                'the_latest_release') is None else stats.get(
                'the_latest_release')
        params = dict(
            db=self.sf_config['db'],
            schema=self.sf_config['schema'],
            table_name=table_name,
            artist=artist,
            artist_id=stats.get('id'),
            monthly_listeners=stats.get('current_monthly_listeners'),
            last_week_monthly_listeners=stats.get(
                'last_week_monthly_listeners'),
            weekly_change_in_monthly_listeners=stats.get(
                'weekly_change_in_monthly_listeners'),
            current_weekly_change_in_monthly_listeners=stats.get(
                'current_weekly_change_in_monthly_listeners'),
            daily_change_in_monthly_listeners=stats.get(
                'daily_change_in_monthly_listeners'),
            percentage_change_in_monthly_listeners=stats.get(
                'percentage_change_in_monthly_listeners'),
            acceleration_monthly_listeners=stats.get(
                'acceleration_monthly_listeners'),
            current_followers=stats.get('current_followers'),
            last_week_followers=stats.get('last_week_followers'),
            weekly_change_in_followers=stats.get(
                'weekly_change_in_followers'),
            current_weekly_change_in_followers=stats.get(
                'current_weekly_change_in_followers'),
            daily_change_in_followers=stats.get(
                'daily_change_in_followers'),
            percentage_change_in_followers=stats.get(
                'percentage_change_in_followers'),
            acceleration_followers=stats.get('acceleration_followers'),
            spotify_popularity=stats.get('current_popularity'),
            last_week_spotify_popularity=stats.get('last_week_popularity'),
            editorial_playlists_adds=stats.get(
                'current_editorial_playlists_adds'),
            editorial_playlists_adds_count=stats.get(
                'current_editorial_playlists_adds_count'),
            last_week_editorial_playlists_adds=stats.get(
                'last_week_editorial_playlists_adds'),
            last_week_editorial_playlists_adds_count=stats.get(
                'last_week_editorial_playlists_adds_count'),
            notable_playlists_adds=stats.get('current_notable_playlists_adds'),
            notable_playlists_adds_count=stats.get(
                'current_notable_playlists_adds_count'),
            last_week_notable_playlists_adds=stats.get(
                'last_week_notable_playlists_adds'),
            last_week_notable_playlists_adds_count=stats.get(
                'last_week_notable_playlists_adds_count'),
            the_latest_release=stats.get('the_latest_release'),
            last_processing_date=stats.get(
                'last_processing_date').strftime('%d-%m-%Y'),
            last_week_processing_date=stats.get(
                'last_week_processing_date').strftime('%d-%m-%Y')
        )
        result = self.fetchall_query(
            sql_loader, 'insert_artists_stats', params)
        return result