"""GfK Physical Ingestion Workflow."""

from snowflake_connector.etl_connector import SQLLoader

from feed_ingestion.flows import base
from feed_ingestion.flows.gfk_physical import config, tasks
from feed_ingestion.flows.gfk_physical.snowflake_executor import (
    GfKPhysicalSFExecutor,
)
from feed_ingestion.flows.gfk_physical.stage_loader import GfKPhysicalSL


sql_loader = SQLLoader(__file__)


class Flow(base.FlowBase, base.FlowConfigMixin):
    """Class representing the workflow."""

    def __init__(self):
        """Initialize flow object."""
        super(Flow, self).__init__(feed_name=config.feed_name, version='1.0')

    def decider(self, schedule):
        """Activity decider.

        Args:
            schedule (callable): The scheduler method.
        """
        bootstrap = schedule('bootstrap', self.bootstrap)

        if bootstrap.result.get('bootstrap.stop'):
            return

        fetch_from_sftp = schedule(
            'fetch_from_sftp', self.fetch_from_sftp, requires=[bootstrap]
        )

        if fetch_from_sftp.result.get('fetch_from_sftp.stop'):
            return

        load_staging_raw_table = schedule(
            'load_staging_raw_table',
            self.load_staging_raw_table,
            requires=[fetch_from_sftp],
        )

        schedule(
            'set_overall_status_ingested',
            self.set_status_to_ingested,
            requires=[load_staging_raw_table],
        )

    @property
    def bootstrap(self):
        """Bootstrap initial configuration."""
        return self.create(
            name='bootstrap',
            tasks=base.SyncRunner(
                tasks.bootstrap.fill(
                    namespace='bootstrap',
                    date='context_date',
                    reload='reload',
                )
            ),
        )

    @property
    def fetch_from_sftp(self):
        """Download ZIP from SFTP, extract CSV, upload to S3."""
        return self.create(
            name='fetch_from_sftp',
            tasks=base.SyncRunner(
                tasks.fetch_from_sftp.fill(
                    namespace='fetch_from_sftp',
                    feed_name='bootstrap.feed_name',
                    date='bootstrap.date',
                    filename='bootstrap.filename',
                    archive_path='bootstrap.archive_path',
                    processed_path='bootstrap.processed_path',
                )
            ),
        )

    load_staging_raw_table = GfKPhysicalSL.load_activity(
        secrets_path=config.secrets_path,
        sql_loader=sql_loader,
        executor_class=GfKPhysicalSFExecutor,
        requirements=dict(
            date='bootstrap.date',
            feed_name='bootstrap.feed_name',
            staging_raw_table_name='bootstrap.staging_raw_table',
            s3_dir_path='bootstrap.s3_dir_path',
        ),
    )