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# to you under the Apache License, Version 2.0 (the
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#
# http://www.apache.org/licenses/LICENSE-2.0
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"""update base metrics
Note that the metrics table was previously partially modifed by revision
f231d82b9b26.
Revision ID: e9df189e5c7e
Revises: 7f2635b51f5d
Create Date: 2018-07-20 15:57:48.118304
"""
# revision identifiers, used by Alembic.
revision = "e9df189e5c7e"
down_revision = "7f2635b51f5d"
from alembic import op
from sqlalchemy import Column, engine, Integer, String, Text
from sqlalchemy.ext.declarative import declarative_base
from superset import db
from superset.utils.core import generic_find_uq_constraint_name
Base = declarative_base()
conv = {"uq": "uq_%(table_name)s_%(column_0_name)s"}
class BaseMetricMixin:
id = Column(Integer, primary_key=True)
class DruidMetric(BaseMetricMixin, Base):
__tablename__ = "metrics"
datasource_id = Column(Integer)
class SqlMetric(BaseMetricMixin, Base):
__tablename__ = "sql_metrics"
table_id = Column(Integer)
def upgrade():
bind = op.get_bind()
session = db.Session(bind=bind)
# Delete the orphaned metrics records.
for record in session.query(DruidMetric).all():
if record.datasource_id is None:
session.delete(record)
session.commit()
# Enforce that metrics.metric_name column be non-nullable.
with op.batch_alter_table("metrics") as batch_op:
batch_op.alter_column("metric_name", existing_type=String(255), nullable=False)
# Enforce that metrics.json column be non-nullable.
with op.batch_alter_table("metrics") as batch_op:
batch_op.alter_column("json", existing_type=Text, nullable=False)
# Delete the orphaned sql_metrics records.
for record in session.query(SqlMetric).all():
if record.table_id is None:
session.delete(record)
session.commit()
# Reduce the size of the sql_metrics.metric_name column for constraint
# viability and enforce that it to be non-nullable.
with op.batch_alter_table("sql_metrics") as batch_op:
batch_op.alter_column(
"metric_name", existing_type=String(512), nullable=False, type_=String(255)
)
# Enforce that sql_metrics.expression column be non-nullable.
with op.batch_alter_table("sql_metrics") as batch_op:
batch_op.alter_column("expression", existing_type=Text, nullable=False)
# Add the missing uniqueness constraint to the sql_metrics table.
with op.batch_alter_table("sql_metrics", naming_convention=conv) as batch_op:
batch_op.create_unique_constraint(
"uq_sql_metrics_metric_name", ["metric_name", "table_id"]
)
def downgrade():
bind = op.get_bind()
insp = engine.reflection.Inspector.from_engine(bind)
# Remove the missing uniqueness constraint from the sql_metrics table.
with op.batch_alter_table("sql_metrics", naming_convention=conv) as batch_op:
batch_op.drop_constraint(
generic_find_uq_constraint_name(
"sql_metrics", {"metric_name", "table_id"}, insp
)
or "uq_sql_metrics_table_id",
type_="unique",
)
# Restore the size of the sql_metrics.metric_name column and forego that it
# be non-nullable.
with op.batch_alter_table("sql_metrics") as batch_op:
batch_op.alter_column(
"metric_name", existing_type=String(255), nullable=True, type_=String(512)
)
# Forego that the sql_metrics.expression column be non-nullable.
with op.batch_alter_table("sql_metrics") as batch_op:
batch_op.alter_column("expression", existing_type=Text, nullable=True)
# Forego that the metrics.metric_name column be non-nullable.
with op.batch_alter_table("metrics") as batch_op:
batch_op.alter_column("metric_name", existing_type=String(255), nullable=True)
# Forego that the metrics.json column be non-nullable.
with op.batch_alter_table("metrics") as batch_op:
batch_op.alter_column("json", existing_type=Text, nullable=True)