"""Snowflake connector class for the NetEase workflow."""

from snowflake_connector.etl_connector import SQLLoader

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

# Load SQL templates
sql_loader = SQLLoader(__file__)


class NetEaseSF(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,
        and a key of executors dict in feed_ingestion/common/
        fact_analytics_sf/__init__.py file.
        Returns:
            str: Feed name, e.g. 'NetEase'.
        """
        return config.feed_name

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

        Returns:
            str: staging_raw table name
        """
        return config.staging_raw_table

    @property
    def feedid(self):
        """ID of the feed.

        Returns:
            int: Feed id
        """
        return config.feedid

    @property
    def storeid(self):
        """ID of the store.

        Returns:
            int: Store id
        """
        return config.storeid

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

        Args:
            temp_staging_raw_table (str): A table name in Snowflake.
            kwargs (dict): Custom arguments.
        """
        query_name = 'create_temp_staging_raw'
        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, query_name, 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.
            key_dir (str): Custom arguments.
        """
        aws_params = self.get_aws_params()
        params = dict(
            db=self.sf_config['db'],
            schema=self.sf_config['schema'],
            temp_staging_raw_table=temp_staging_raw_table,
            s3_path=key_dir,
            on_error_action='SKIP_FILE_{}'.format(kwargs['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 staging raw table with activity files.

        Args:
            temp_staging_raw_table (str): A table name in Snowflake.
            staging_raw_table (str): Name of staging raw table.
            date (str): Date in YYYY-MM-DD format.
            kwargs (dict): Custom arguments with temporary table names and
                filenames for user, playlist and activity.
        """
        params = dict(
            db=self.sf_config['db'],
            schema=self.sf_config['schema'],
            staging_raw_table=staging_raw_table,
            temp_staging_raw_table=temp_staging_raw_table,
            download_date=date)
        self.execute_query(sql_loader, 'load_staging_raw_netease', params)

    def drop_temp_staging_raw_table(self, table_name):
        """Delete temp staging raw table.

        Args:
            table_name (str): Name of table to be deleted.
        """
        self.drop_table(
            table_name,
            db=self.sf_config['db'],
            schema=self.sf_config['schema'])