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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=390163&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-390163
]
ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------
Author: ASF GitHub Bot
Created on: 20/Feb/20 18:40
Start Date: 20/Feb/20 18:40
Worklog Time Spent: 10m
Work Description: rohdesamuel commented on pull request #10915:
[BEAM-8335] Add PCollection to DataFrame logic for InteractiveRunner.
URL: https://github.com/apache/beam/pull/10915#discussion_r382185263
##########
File path: sdks/python/apache_beam/runners/interactive/utils_test.py
##########
@@ -0,0 +1,138 @@
+#
+# 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 __future__ import absolute_import
+
+import unittest
+
+import pandas as pd
+
+from apache_beam.runners.interactive import utils
+from apache_beam.typehints.typehints import Any
+from apache_beam.typehints.typehints import Dict
+from apache_beam.typehints.typehints import List
+from apache_beam.typehints.typehints import Tuple
+from apache_beam.utils.windowed_value import WindowedValue
+
+
+class ParseToDataframeTest(unittest.TestCase):
+ def test_parse_1(self):
+ el = (1, 'a')
+ element_type = Tuple[int, str]
+
+ columns, elements = utils.parse_row(el, element_type)
+ self.assertEqual(columns, ['el[0]', 'el[1]'])
+ self.assertEqual(elements, [1, 'a'])
+
+ def test_parse_2(self):
+ el = ((1, 2.0, 'a'), 'b')
+ element_type = Tuple[Tuple[int, float, str], str]
+
+ columns, elements = utils.parse_row(el, element_type)
+ self.assertEqual(columns, ['el[0][0]', 'el[0][1]', 'el[0][2]', 'el[1]'])
+ self.assertEqual(elements, [1, 2.0, 'a', 'b'])
+
+ def test_parse_3(self):
+ el = [1, 2, 3]
+ element_type = List[int]
+
+ columns, elements = utils.parse_row(el, element_type)
+ self.assertEqual(columns, ['el'])
+ self.assertEqual(elements, [[1, 2, 3]])
+
+ def test_parse_4(self):
+ el = ('k', [1, 2, 3])
+ element_type = Tuple[str, List[int]]
+
+ columns, elements = utils.parse_row(el, element_type)
+ self.assertEqual(columns, ['el[0]', 'el[1]'])
+ self.assertEqual(elements, ['k', [1, 2, 3]])
+
+ def test_parse_5(self):
+ el = (([1, 2, 3], {'b': 1, 'c': 2}), 'a')
+ element_type = Tuple[Tuple[List[int], Dict[str, int]], str]
+
+ columns, elements = utils.parse_row(el, element_type)
+ self.assertEqual(columns, ['el[0][0]', 'el[0][1]', 'el[1]'])
+ self.assertEqual(elements, [[1, 2, 3], {'b': 1, 'c': 2}, 'a'])
+
+ def test_parse_5(self):
Review comment:
Done
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Issue Time Tracking
-------------------
Worklog Id: (was: 390163)
Time Spent: 67.5h (was: 67h 20m)
> Add streaming support to Interactive Beam
> -----------------------------------------
>
> Key: BEAM-8335
> URL: https://issues.apache.org/jira/browse/BEAM-8335
> Project: Beam
> Issue Type: Improvement
> Components: runner-py-interactive
> Reporter: Sam Rohde
> Assignee: Sam Rohde
> Priority: Major
> Time Spent: 67.5h
> Remaining Estimate: 0h
>
> This issue tracks the work items to introduce streaming support to the
> Interactive Beam experience. This will allow users to:
> * Write and run a streaming job in IPython
> * Automatically cache records from unbounded sources
> * Add a replay experience that replays all cached records to simulate the
> original pipeline execution
> * Add controls to play/pause/stop/step individual elements from the cached
> records
> * Add ability to inspect/visualize unbounded PCollections
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