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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
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# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
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import gzip
import json
import os

import pandas as pd
from sqlalchemy import String, Text

from superset import db
from superset.utils import core as utils
from .helpers import DATA_FOLDER, TBL


def load_paris_iris_geojson():
    tbl_name = 'paris_iris_mapping'

    with gzip.open(os.path.join(DATA_FOLDER, 'paris_iris.json.gz')) as f:
        df = pd.read_json(f)
        df['features'] = df.features.map(json.dumps)

    df.to_sql(
        tbl_name,
        db.engine,
        if_exists='replace',
        chunksize=500,
        dtype={
            'color': String(255),
            'name': String(255),
            'features': Text,
            'type': Text,
        },
        index=False)
    print('Creating table {} reference'.format(tbl_name))
    tbl = db.session.query(TBL).filter_by(table_name=tbl_name).first()
    if not tbl:
        tbl = TBL(table_name=tbl_name)
    tbl.description = 'Map of Paris'
    tbl.database = utils.get_or_create_main_db()
    db.session.merge(tbl)
    db.session.commit()
    tbl.fetch_metadata()