# 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. from superset.utils.pandas_postprocessing import ( geodetic_parse, geohash_decode, geohash_encode, ) from tests.unit_tests.fixtures.dataframes import lonlat_df from tests.unit_tests.pandas_postprocessing.utils import round_floats, series_to_list def test_geohash_decode(): # decode lon/lat from geohash post_df = geohash_decode( df=lonlat_df[["city", "geohash"]], geohash="geohash", latitude="latitude", longitude="longitude", ) assert sorted(post_df.columns.tolist()) == sorted( ["city", "geohash", "latitude", "longitude"] ) assert round_floats(series_to_list(post_df["longitude"]), 6) == round_floats( series_to_list(lonlat_df["longitude"]), 6 ) assert round_floats(series_to_list(post_df["latitude"]), 6) == round_floats( series_to_list(lonlat_df["latitude"]), 6 ) def test_geohash_encode(): # encode lon/lat into geohash post_df = geohash_encode( df=lonlat_df[["city", "latitude", "longitude"]], latitude="latitude", longitude="longitude", geohash="geohash", ) assert sorted(post_df.columns.tolist()) == sorted( ["city", "geohash", "latitude", "longitude"] ) assert series_to_list(post_df["geohash"]) == series_to_list(lonlat_df["geohash"]) def test_geodetic_parse(): # parse geodetic string with altitude into lon/lat/altitude post_df = geodetic_parse( df=lonlat_df[["city", "geodetic"]], geodetic="geodetic", latitude="latitude", longitude="longitude", altitude="altitude", ) assert sorted(post_df.columns.tolist()) == sorted( ["city", "geodetic", "latitude", "longitude", "altitude"] ) assert series_to_list(post_df["longitude"]) == series_to_list( lonlat_df["longitude"] ) assert series_to_list(post_df["latitude"]) == series_to_list(lonlat_df["latitude"]) assert series_to_list(post_df["altitude"]) == series_to_list(lonlat_df["altitude"]) # parse geodetic string into lon/lat post_df = geodetic_parse( df=lonlat_df[["city", "geodetic"]], geodetic="geodetic", latitude="latitude", longitude="longitude", ) assert sorted(post_df.columns.tolist()) == sorted( ["city", "geodetic", "latitude", "longitude"] ) assert series_to_list(post_df["longitude"]) == series_to_list( lonlat_df["longitude"] ) assert series_to_list(post_df["latitude"]), series_to_list(lonlat_df["latitude"])