superset sf_population_polygons 源码
superset sf_population_polygons 代码
文件路径：/superset/examples/sf_population_polygons.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.
import json
import pandas as pd
from sqlalchemy import BigInteger, Float, inspect, Text
import superset.utils.database as database_utils
from superset import db
from .helpers import get_example_url, get_table_connector_registry
def load_sf_population_polygons(
only_metadata: bool = False, force: bool = False
) -> None:
tbl_name = "sf_population_polygons"
database = database_utils.get_example_database()
engine = database.get_sqla_engine()
schema = inspect(engine).default_schema_name
table_exists = database.has_table_by_name(tbl_name)
if not only_metadata and (not table_exists or force):
url = get_example_url("sf_population.json.gz")
df = pd.read_json(url, compression="gzip")
df["contour"] = df.contour.map(json.dumps)
df.to_sql(
tbl_name,
engine,
schema=schema,
if_exists="replace",
chunksize=500,
dtype={
"zipcode": BigInteger,
"population": BigInteger,
"contour": Text,
"area": Float,
},
index=False,
)
print("Creating table {} reference".format(tbl_name))
table = get_table_connector_registry()
tbl = db.session.query(table).filter_by(table_name=tbl_name).first()
if not tbl:
tbl = table(table_name=tbl_name, schema=schema)
tbl.description = "Population density of San Francisco"
tbl.database = database
tbl.filter_select_enabled = True
db.session.merge(tbl)
db.session.commit()
tbl.fetch_metadata()
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