"""Snowflake connector class for the Spotify's charts tasks."""
from snowflake_connector.etl_connector import SQLLoader

from feed_ingestion.common.staging_raw_sf.base_executor \
    import SnowflakeSQLExecutorSR
from feed_ingestion.flows.spotify_charts import config
from feed_ingestion.util.snowflake.errors import JSONParserLoading

sql_loader = SQLLoader(__file__)


class SpotifyCharts(SnowflakeSQLExecutorSR):
    """Helper class to abstract Snowflake operations.

    This class inherits from SnowflakeSQLExecutor class, which provides basic
    set of methods. This class extends SnowflakeSQLExecutor with some specific
    methods, which are useful to encapsulate some flow specific operations.
    """

    @property
    def feed_name(self):
        """Name of the feed.

        Should match dir name of this feed, feed_name in config.py of a feed.

        Returns:
            str: Feed name
        """
        return config.feed_name

    @property
    def staging_raw_table(self):
        """Name of the staging_raw table for the feed.

        Returns:
            str: staging_raw_{feed} table name.
        """
        return config.staging_raw_table

    def create_temp_staging_raw_table(self, temp_staging_raw_table):
        """Create a temporary staging raw table.

        Args:
            temp_staging_raw_table (str): A table name in Snowflake.
        """
        params = dict(
            db=self.sf_config['db'],
            schema=self.sf_config['schema'],
            temp_staging_raw_table=temp_staging_raw_table)
        self.execute_query(sql_loader, 'create_temp_staging_raw', params)

    def load_temp_staging_raw_table(
            self, temp_staging_raw_table, aws, key_dir, **kwargs):
        """Load temp staging raw table.

        Args:
            temp_staging_raw_table (str): A table name in Snowflake.
            aws (dict): AWS credentials to fill a template of COPY SQL
                statement. [DEPRECATED]
            key_dir (str): A S3 path to load files from.
        """
        aws_params = self.get_aws_params()
        params = dict(
            db=self.sf_config['db'],
            schema=self.sf_config['schema'],
            table_name=temp_staging_raw_table,
            s3_path=key_dir,
            on_error_action='SKIP_FILE_{}'.format(
                config.snowflake_error_limit),
            **aws_params
        )
        return [JSONParserLoading(*e) for e in self.fetchall_query(
            sql_loader, 'load_temp_staging_raw', params)]

    def load_staging_raw_table(
            self, temp_staging_raw_table, staging_raw_table, date, **kwargs):
        """Load the temp_staging_raw data to the feed's staging_raw table.

        Args:
            temp_staging_raw_table (str): A table name in Snowflake.
            staging_raw_table (str): A table name in Snowflake.
            date (str): Date of the data being process (YYYY-MM-DD).
        """
        params = dict(
            db=self.sf_config['db'],
            schema=self.sf_config['schema'],
            download_date=date,
            temp_table_name=temp_staging_raw_table,
            chart_type=kwargs['chart_type'],
            country=kwargs['country'],
            frequency=kwargs['frequency'],
            staging_raw_table=staging_raw_table)
        self.execute_query(sql_loader, 'load_staging_raw', params)

    def clean_staging_raw_table(self, staging_raw_table, date, **kwargs):
        """Delete rows from previous unsuccessful workflow run.

        Args:
            staging_raw_table (str): A table name in Snowflake.
            date (str): Date of the data being process (YYYY-MM-DD).
        """
        params = dict(
            db=self.sf_config['db'],
            schema=self.sf_config['schema'],
            staging_raw_table=staging_raw_table,
            date=date,
            chart_type=kwargs['chart_type'],
            frequency=kwargs['frequency'],
            countries=kwargs['countries'])
        self.execute_query(sql_loader, 'delete_from_staging_raw', params)

    def load_spotify_tables(
            self, date, chart_type, frequency, table_name, countries):
        """Load the temp_staging_raw data to the feed's staging_raw table.

        Args:
            date (str): Date of the data being process (YYYY-MM-DD).
            chart_type (str): The type of a chart (regional, viral).
            frequency (str): The frequency of a chart (weekly, daily).
            table_name (str): The name of the table to load.
            countries (str): List of countries to load.
        """
        params = dict(
            db=self.sf_config['db'],
            schema=self.sf_config['schema'],
            date=date,
            chart_type=chart_type,
            frequency=frequency,
            staging_raw_table=self.staging_raw_table,
            countries=countries)
        self.execute_query(
            sql_loader, f'load_{table_name}', params)