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123 lines
4.3 KiB
Python
123 lines
4.3 KiB
Python
# Licensed to Elasticsearch B.V. under one or more contributor
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# license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright
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# ownership. Elasticsearch B.V. licenses this file to you under
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# the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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# File called _pytest for PyCharm compatibility
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import ast
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import time
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from io import StringIO
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import pandas as pd
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from pandas.testing import assert_frame_equal
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import eland as ed
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from tests import ES_TEST_CLIENT, FLIGHTS_INDEX_NAME
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from tests.common import ROOT_DIR, TestData
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class TestDataFrameToCSV(TestData):
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def test_to_csv_head(self):
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results_file = ROOT_DIR + "/dataframe/results/test_to_csv_head.csv"
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ed_flights = self.ed_flights().head()
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pd_flights = self.pd_flights().head()
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ed_flights.to_csv(results_file)
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# Converting back from csv is messy as pd_flights is created from a json file
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pd_from_csv = pd.read_csv(
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results_file,
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index_col=0,
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converters={
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"DestLocation": lambda x: ast.literal_eval(x),
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"OriginLocation": lambda x: ast.literal_eval(x),
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},
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)
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pd_from_csv.index = pd_from_csv.index.map(str)
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pd_from_csv.timestamp = pd.to_datetime(pd_from_csv.timestamp)
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assert_frame_equal(pd_flights, pd_from_csv)
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def test_to_csv_full(self):
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results_file = ROOT_DIR + "/dataframe/results/test_to_csv_full.csv"
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# Test is slow as it's for the full dataset, but it is useful as it goes over 10000 docs
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ed_flights = self.ed_flights()
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pd_flights = self.pd_flights()
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ed_flights.to_csv(results_file)
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# Converting back from csv is messy as pd_flights is created from a json file
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pd_from_csv = pd.read_csv(
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results_file,
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index_col=0,
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converters={
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"DestLocation": lambda x: ast.literal_eval(x),
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"OriginLocation": lambda x: ast.literal_eval(x),
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},
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)
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pd_from_csv.index = pd_from_csv.index.map(str)
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pd_from_csv.timestamp = pd.to_datetime(pd_from_csv.timestamp)
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assert_frame_equal(pd_flights, pd_from_csv)
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# Now read the csv to an index
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now_millis = int(round(time.time() * 1000))
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test_index = FLIGHTS_INDEX_NAME + "." + str(now_millis)
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ed_flights_from_csv = ed.csv_to_eland(
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results_file,
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ES_TEST_CLIENT,
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test_index,
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index_col=0,
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es_refresh=True,
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es_type_overrides={
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"OriginLocation": "geo_point",
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"DestLocation": "geo_point",
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},
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converters={
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"DestLocation": lambda x: ast.literal_eval(x),
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"OriginLocation": lambda x: ast.literal_eval(x),
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},
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)
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pd_flights_from_csv = ed.eland_to_pandas(ed_flights_from_csv)
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# TODO - there is a 'bug' where the Elasticsearch index returns data in a different order to the CSV
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print(ed_flights_from_csv.head())
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print(pd_flights_from_csv.head())
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# clean up index
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ES_TEST_CLIENT.indices.delete(index=test_index)
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def test_pd_to_csv_without_filepath(self):
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ed_flights = self.ed_flights()
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pd_flights = self.pd_flights()
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ret = ed_flights.to_csv()
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results = StringIO(ret)
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# Converting back from csv is messy as pd_flights is created from a json file
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pd_from_csv = pd.read_csv(
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results,
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index_col=0,
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converters={
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"DestLocation": lambda x: ast.literal_eval(x),
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"OriginLocation": lambda x: ast.literal_eval(x),
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},
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)
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pd_from_csv.index = pd_from_csv.index.map(str)
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pd_from_csv.timestamp = pd.to_datetime(pd_from_csv.timestamp)
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assert_frame_equal(pd_flights, pd_from_csv)
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