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# Licensed to the Apache Software Foundation (ASF) under one
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# 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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import json
import pandas as pd
from sqlalchemy import String, Text
from superset import db
from superset.utils import core as utils
from .helpers import get_example_data, TBL
def load_paris_iris_geojson(only_metadata: bool = False, force: bool = False) -> None:
tbl_name = "paris_iris_mapping"
database = utils.get_example_database()
table_exists = database.has_table_by_name(tbl_name)
if not only_metadata and (not table_exists or force):
data = get_example_data("paris_iris.json.gz")
df = pd.read_json(data)
df["features"] = df.features.map(json.dumps)
df.to_sql(
tbl_name,
database.get_sqla_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 = database
db.session.merge(tbl)
db.session.commit()
tbl.fetch_metadata()