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#
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"""datasource_cluster_fk

Revision ID: e96dbf2cfef0
Revises: 817e1c9b09d0
Create Date: 2020-01-08 01:17:40.127610

"""
import sqlalchemy as sa
from alembic import op

from superset import db
from superset.utils.core import (
    generic_find_fk_constraint_name,
    generic_find_uq_constraint_name,
)

# revision identifiers, used by Alembic.
revision = "e96dbf2cfef0"
down_revision = "817e1c9b09d0"


def upgrade():
    bind = op.get_bind()
    insp = sa.engine.reflection.Inspector.from_engine(bind)

    # Add cluster_id column
    with op.batch_alter_table("datasources") as batch_op:
        batch_op.add_column(sa.Column("cluster_id", sa.Integer()))

    # Update cluster_id values
    metadata = sa.MetaData(bind=bind)
    datasources = sa.Table("datasources", metadata, autoload=True)
    clusters = sa.Table("clusters", metadata, autoload=True)

    statement = datasources.update().values(
        cluster_id=sa.select([clusters.c.id])
        .where(datasources.c.cluster_name == clusters.c.cluster_name)
        .as_scalar()
    )
    bind.execute(statement)

    with op.batch_alter_table("datasources") as batch_op:
        # Drop cluster_name column
        fk_constraint_name = generic_find_fk_constraint_name(
            "datasources", {"cluster_name"}, "clusters", insp
        )
        uq_constraint_name = generic_find_uq_constraint_name(
            "datasources", {"cluster_name", "datasource_name"}, insp
        )
        batch_op.drop_constraint(fk_constraint_name, type_="foreignkey")
        batch_op.drop_constraint(uq_constraint_name, type_="unique")
        batch_op.drop_column("cluster_name")

        # Add constraints to cluster_id column
        batch_op.alter_column("cluster_id", existing_type=sa.Integer, nullable=False)
        batch_op.create_unique_constraint(
            "uq_datasources_cluster_id", ["cluster_id", "datasource_name"]
        )
        batch_op.create_foreign_key(
            "fk_datasources_cluster_id_clusters", "clusters", ["cluster_id"], ["id"]
        )


def downgrade():
    bind = op.get_bind()
    insp = sa.engine.reflection.Inspector.from_engine(bind)

    # Add cluster_name column
    with op.batch_alter_table("datasources") as batch_op:
        batch_op.add_column(sa.Column("cluster_name", sa.String(250)))

    # Update cluster_name values
    metadata = sa.MetaData(bind=bind)
    datasources = sa.Table("datasources", metadata, autoload=True)
    clusters = sa.Table("clusters", metadata, autoload=True)

    statement = datasources.update().values(
        cluster_name=sa.select([clusters.c.cluster_name])
        .where(datasources.c.cluster_id == clusters.c.id)
        .as_scalar()
    )
    bind.execute(statement)

    with op.batch_alter_table("datasources") as batch_op:
        # Drop cluster_id column
        fk_constraint_name = generic_find_fk_constraint_name(
            "datasources", {"id"}, "clusters", insp
        )
        uq_constraint_name = generic_find_uq_constraint_name(
            "datasources", {"cluster_id", "datasource_name"}, insp
        )
        batch_op.drop_constraint(fk_constraint_name, type_="foreignkey")
        batch_op.drop_constraint(uq_constraint_name, type_="unique")
        batch_op.drop_column("cluster_id")

        # Add constraints to cluster_name column
        batch_op.alter_column(
            "cluster_name", existing_type=sa.String(250), nullable=False
        )
        batch_op.create_unique_constraint(
            "uq_datasources_cluster_name", ["cluster_name", "datasource_name"]
        )
        batch_op.create_foreign_key(
            "fk_datasources_cluster_name_clusters",
            "clusters",
            ["cluster_name"],
            ["cluster_name"],
        )