superset 2021-09-27_11-31_60dc453f4e2e_migrate_timeseries_limit_metric_to_ 源码

  • 2022-10-20
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superset 2021-09-27_11-31_60dc453f4e2e_migrate_timeseries_limit_metricto 代码

文件路径:/superset/migrations/versions/2021-09-27_11-31_60dc453f4e2e_migrate_timeseries_limit_metricto.py

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
"""migrate timeseries_limit_metric to legacy_order_by in pivot_table_v2

Revision ID: 60dc453f4e2e
Revises: 3ebe0993c770
Create Date: 2021-09-27 11:31:53.453164

"""

# revision identifiers, used by Alembic.
revision = "60dc453f4e2e"
down_revision = "3ebe0993c770"

import json
import re

from alembic import op
from sqlalchemy import and_, Column, Integer, String, Text
from sqlalchemy.ext.declarative import declarative_base

from superset import db

Base = declarative_base()


class Slice(Base):
    __tablename__ = "slices"

    id = Column(Integer, primary_key=True)
    slice_name = Column(Text)
    viz_type = Column(String(250))
    params = Column(Text)


def upgrade():
    bind = op.get_bind()
    session = db.Session(bind=bind)

    where_clause = and_(
        Slice.viz_type == "pivot_table_v2",
        Slice.params.like('%"timeseries_limit_metric%'),
    )
    slices = session.query(Slice).filter(where_clause)
    total = slices.count()
    idx = 0
    for slc in slices.yield_per(100):
        idx += 1
        print(f"Upgrading ({idx}/{total}): {slc.slice_name}#{slc.id}")
        params = json.loads(slc.params)
        params["legacy_order_by"] = params.pop("timeseries_limit_metric", None)
        slc.params = json.dumps(params, sort_keys=True, indent=4)
        session.commit()

    session.close()


def downgrade():
    # slices can't be downgraded
    pass

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