superset/migrations/versions/2020-03-25_10-42_f9a30386bd74_cleanup_time_grainularity.py
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"""cleanup_time_granularity
Revision ID: f9a30386bd74
Revises: b5998378c225
Create Date: 2020-03-25 10:42:11.047328
"""
# revision identifiers, used by Alembic.
revision = "f9a30386bd74"
down_revision = "b5998378c225"
from alembic import op # noqa: E402
from sqlalchemy import Column, Integer, String, Text # noqa: E402
from sqlalchemy.ext.declarative import declarative_base # noqa: E402
from superset import db # noqa: E402
from superset.utils import json # noqa: E402
Base = declarative_base()
class Slice(Base):
__tablename__ = "slices"
id = Column(Integer, primary_key=True)
params = Column(Text)
viz_type = Column(String(250))
def upgrade():
"""
Remove any erroneous time granularity fields from slices foor those visualization
types which do not support time granularity.
:see: https://github.com/apache/superset/pull/8674
:see: https://github.com/apache/superset/pull/8764
:see: https://github.com/apache/superset/pull/8800
:see: https://github.com/apache/superset/pull/8825
"""
bind = op.get_bind()
session = db.Session(bind=bind)
# Visualization types which support time granularity (hence negate).
viz_types = [
"area",
"bar",
"big_number",
"compare",
"dual_line",
"line",
"pivot_table",
"table",
"time_pivot",
"time_table",
]
# Erroneous time granularity fields for either Druid NoSQL or SQL slices which do
# not support time granularity.
erroneous = ["granularity", "time_grain_sqla"]
for slc in session.query(Slice).filter(Slice.viz_type.notin_(viz_types)).all():
try:
params = json.loads(slc.params)
if any(field in params for field in erroneous):
for field in erroneous:
if field in params:
del params[field]
slc.params = json.dumps(params, sort_keys=True)
except Exception:
pass
session.commit()
session.close()
def downgrade():
pass