superset 2018-07-05_15-19_3dda56f1c4c6_migrate_num_period_compare_and_period_ 源码

superset 2018-07-05_15-19_3dda56f1c4c6_migrate_num_period_compare_andperiod 代码

文件路径：/superset/migrations/versions/2018-07-05_15-19_3dda56f1c4c6_migrate_num_period_compare_andperiod.py

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# 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 num_period_compare and period_ratio_type

Revision ID: 3dda56f1c4c6
Revises: bddc498dd179
Create Date: 2018-07-05 15:19:14.609299

"""

# revision identifiers, used by Alembic.

import datetime
import json

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

from superset import db
from superset.utils.date_parser import parse_human_timedelta

revision = "3dda56f1c4c6"
down_revision = "bddc498dd179"


Base = declarative_base()


class Slice(Base):
    __tablename__ = "slices"

    id = Column(Integer, primary_key=True)
    datasource_type = Column(String(200))
    params = Column(Text)


comparison_type_map = {"factor": "ratio", "growth": "percentage", "value": "absolute"}

db_engine_specs_map = {
    "second": "PT1S",
    "minute": "PT1M",
    "5 minute": "PT5M",
    "10  minute": "PT10M",
    "half hour": "PT0.5H",
    "hour": "PT1H",
    "day": "P1D",
    "week": "P1W",
    "week_ending_saturday": "P1W",
    "week_start_sunday": "P1W",
    "week_start_monday": "P1W",
    "week_starting_sunday": "P1W",
    "P1W/1970-01-03T00:00:00Z": "P1W",
    "1969-12-28T00:00:00Z/P1W": "P1W",
    "month": "P1M",
    "quarter": "P0.25Y",
    "year": "P1Y",
}


def isodate_duration_to_string(obj):
    if obj.tdelta:
        if not obj.months and not obj.years:
            return format_seconds(obj.tdelta.total_seconds())
        raise Exception("Unable to convert: {0}".format(obj))

    if obj.months % 12 != 0:
        months = obj.months + 12 * obj.years
        return "{0} months".format(months)

    return "{0} years".format(obj.years + obj.months // 12)


def timedelta_to_string(obj):
    if obj.microseconds:
        raise Exception("Unable to convert: {0}".format(obj))
    elif obj.seconds:
        return format_seconds(obj.total_seconds())
    elif obj.days % 7 == 0:
        return "{0} weeks".format(obj.days // 7)
    else:
        return "{0} days".format(obj.days)


def format_seconds(value):
    periods = [("minute", 60), ("hour", 3600), ("day", 86400), ("week", 604800)]
    for period, multiple in periods:
        if value % multiple == 0:
            value //= multiple
            break
    else:
        period = "second"

    return "{0} {1}{2}".format(value, period, "s" if value > 1 else "")


def compute_time_compare(granularity, periods):
    if not granularity:
        return None
    # convert old db_engine_spec granularity to ISO duration
    if granularity in db_engine_specs_map:
        granularity = db_engine_specs_map[granularity]

    try:
        obj = isodate.parse_duration(granularity) * periods
    except isodate.isoerror.ISO8601Error:
        # if parse_human_timedelta can parse it, return it directly
        delta = "{0} {1}{2}".format(periods, granularity, "s" if periods > 1 else "")
        obj = parse_human_timedelta(delta)
        if obj:
            return delta
        raise Exception("Unable to parse: {0}".format(granularity))

    if isinstance(obj, isodate.duration.Duration):
        return isodate_duration_to_string(obj)
    elif isinstance(obj, datetime.timedelta):
        return timedelta_to_string(obj)


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

    for chart in session.query(Slice):
        params = json.loads(chart.params or "{}")

        if not params.get("num_period_compare"):
            continue

        num_period_compare = int(params.get("num_period_compare"))
        granularity = (
            params.get("granularity")
            if chart.datasource_type == "druid"
            else params.get("time_grain_sqla")
        )
        time_compare = compute_time_compare(granularity, num_period_compare)

        period_ratio_type = params.get("period_ratio_type") or "growth"
        comparison_type = comparison_type_map[period_ratio_type.lower()]

        params["time_compare"] = [time_compare]
        params["comparison_type"] = comparison_type
        chart.params = json.dumps(params, sort_keys=True)

    session.commit()
    session.close()


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

    for chart in session.query(Slice):
        params = json.loads(chart.params or "{}")

        if "time_compare" in params or "comparison_type" in params:
            params.pop("time_compare", None)
            params.pop("comparison_type", None)
            chart.params = json.dumps(params, sort_keys=True)

    session.commit()
    session.close()

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