[
https://issues.apache.org/jira/browse/BEAM-12024?focusedWorklogId=570541&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-570541
]
ASF GitHub Bot logged work on BEAM-12024:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 23/Mar/21 15:16
Start Date: 23/Mar/21 15:16
Worklog Time Spent: 10m
Work Description: TheNeuralBit commented on a change in pull request
#14308:
URL: https://github.com/apache/beam/pull/14308#discussion_r599666280
##########
File path: sdks/python/apache_beam/examples/dataframe/taxiride_test.py
##########
@@ -0,0 +1,127 @@
+# -*- coding: utf-8 -*-
+#
+# 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.
+#
+
+"""Test for the wordcount example."""
+
+# pytype: skip-file
+
+from __future__ import absolute_import
+
+import collections
+import logging
+import os
+import re
+import tempfile
+import unittest
+
+import pandas as pd
+
+from apache_beam.examples.dataframe import taxiride
+from apache_beam.testing.util import open_shards
+
+
+class TaxiRideExampleTest(unittest.TestCase):
+
+ # First 10 lines from gs://apache-beam-samples/nyc_taxi/misc/sample.csv
+ SAMPLE_RIDES =
"""VendorID,tpep_pickup_datetime,tpep_dropoff_datetime,passenger_count,trip_distance,RatecodeID,store_and_fwd_flag,PULocationID,DOLocationID,payment_type,fare_amount,extra,mta_tax,tip_amount,tolls_amount,improvement_surcharge,total_amount,congestion_surcharge
+ 1,2019-01-01 00:46:40,2019-01-01
00:53:20,1,1.50,1,N,151,239,1,7,0.5,0.5,1.65,0,0.3,9.95,
+ 1,2019-01-01 00:59:47,2019-01-01
01:18:59,1,2.60,1,N,239,246,1,14,0.5,0.5,1,0,0.3,16.3,
+ 2,2018-12-21 13:48:30,2018-12-21
13:52:40,3,.00,1,N,236,236,1,4.5,0.5,0.5,0,0,0.3,5.8,
+ 2,2018-11-28 15:52:25,2018-11-28
15:55:45,5,.00,1,N,193,193,2,3.5,0.5,0.5,0,0,0.3,7.55,
+ 2,2018-11-28 15:56:57,2018-11-28
15:58:33,5,.00,2,N,193,193,2,52,0,0.5,0,0,0.3,55.55,
+ 2,2018-11-28 16:25:49,2018-11-28
16:28:26,5,.00,1,N,193,193,2,3.5,0.5,0.5,0,5.76,0.3,13.31,
+ 2,2018-11-28 16:29:37,2018-11-28
16:33:43,5,.00,2,N,193,193,2,52,0,0.5,0,0,0.3,55.55,
+ 1,2019-01-01 00:21:28,2019-01-01
00:28:37,1,1.30,1,N,163,229,1,6.5,0.5,0.5,1.25,0,0.3,9.05,
+ 1,2019-01-01 00:32:01,2019-01-01
00:45:39,1,3.70,1,N,229,7,1,13.5,0.5,0.5,3.7,0,0.3,18.5
+ """
+
+ SAMPLE_ZONE_LOOKUP = """"LocationID","Borough","Zone","service_zone"
+ 7,"Queens","Astoria","Boro Zone"
+ 193,"Queens","Queensbridge/Ravenswood","Boro Zone"
+ 229,"Manhattan","Sutton Place/Turtle Bay North","Yellow Zone"
+ 236,"Manhattan","Upper East Side North","Yellow Zone"
+ 239,"Manhattan","Upper West Side South","Yellow Zone"
+ 246,"Manhattan","West Chelsea/Hudson Yards","Yellow Zone"
+ """
+
+ def setUp(self):
+ self.tmpdir = tempfile.TemporaryDirectory()
+ self.input_path = os.path.join(self.tmpdir.name, 'rides.csv')
+ self.lookup_path = os.path.join(self.tmpdir.name, 'lookup.csv')
+ self.output_path = os.path.join(self.tmpdir.name, 'output.csv')
+
+ with open(self.input_path, 'w') as fp:
+ fp.write(self.SAMPLE_RIDES)
+
+ with open(self.lookup_path, 'w') as fp:
+ fp.write(self.SAMPLE_ZONE_LOOKUP)
+
+ def tearDown(self):
+ self.tmpdir.cleanup()
+
+ def test_aggregation(self):
+ # Compute expected result
+ rides = pd.read_csv(self.input_path)
+ expected_counts = rides.groupby('DOLocationID').passenger_count.sum()
+
+ taxiride.run_aggregation_pipeline([], self.input_path, self.output_path)
+
+ # Parse result file and compare.
+ # TODO(BEAM-XXXX): taxiride examples should produce int sums, not floats
Review comment:
I will file a jira and update these TODOs before merging
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Issue Time Tracking
-------------------
Worklog Id: (was: 570541)
Time Spent: 20m (was: 10m)
> Add well-documented DataFrame example pipelines
> -----------------------------------------------
>
> Key: BEAM-12024
> URL: https://issues.apache.org/jira/browse/BEAM-12024
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: Brian Hulette
> Assignee: Brian Hulette
> Priority: P2
> Labels: dataframe-api
> Time Spent: 20m
> Remaining Estimate: 0h
>
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