From 25e300edf6a21ff8a0b8f7d8f38d4ecb9a3851c0 Mon Sep 17 00:00:00 2001 From: Théo de la Hogue Date: Thu, 18 Jan 2024 10:29:19 +0100 Subject: Renaming DataStructure test into DataFeatures. --- src/argaze.test/DataStructures.py | 350 -------------------------------------- 1 file changed, 350 deletions(-) delete mode 100644 src/argaze.test/DataStructures.py (limited to 'src/argaze.test/DataStructures.py') diff --git a/src/argaze.test/DataStructures.py b/src/argaze.test/DataStructures.py deleted file mode 100644 index b30c560..0000000 --- a/src/argaze.test/DataStructures.py +++ /dev/null @@ -1,350 +0,0 @@ -#!/usr/bin/env python - -""" """ - -__author__ = "Théo de la Hogue" -__credits__ = [] -__copyright__ = "Copyright 2023, Ecole Nationale de l'Aviation Civile (ENAC)" -__license__ = "BSD" - -import unittest -from dataclasses import dataclass, field -import os - -from argaze import DataFeatures - -import pandas -import numpy - -def random_data_buffer(size, data_keys): - """ Generate a random TimeStampedBuffer for testing purpose. - Timestamps are current time. - Values are tuples containing an expected value and a random value. - """ - - import random - import time - - ts_buffer = DataFeatures.TimeStampedBuffer() - - for i in range(0, size): - - # Edit data - random_data = {} - for key in data_keys: - random_data[key] = (i, random.random()) - - # Store data - ts_buffer[time.time()] = random_data - - time.sleep(0.0001) - - return ts_buffer - -@dataclass() -class BasicDataClass(): - """Define a basic dataclass for testing purpose.""" - - value: tuple - -class TestTimeStampedBufferClass(unittest.TestCase): - """Test TimeStampedBuffer class.""" - - def test_new(self): - """Test TimeStampedBuffer creation.""" - - # Check TimeStampedBuffer length after creation - self.assertEqual(len(DataFeatures.TimeStampedBuffer()), 0) - self.assertEqual(len(DataFeatures.TimeStampedBuffer({0: ""})), 1) - self.assertEqual(len(DataFeatures.TimeStampedBuffer({0.1: ""})), 1) - self.assertEqual(len(DataFeatures.TimeStampedBuffer({0: "A", 1: "B"})), 2) - - # Check TimeStampedBuffer keys after creation - self.assertEqual(list(DataFeatures.TimeStampedBuffer().keys()), []) - self.assertEqual(list(DataFeatures.TimeStampedBuffer({0: ""}).keys()), [0]) - self.assertEqual(list(DataFeatures.TimeStampedBuffer({0.1: ""}).keys()), [0.1]) - self.assertEqual(list(DataFeatures.TimeStampedBuffer({0: "A", 1: "B"}).keys()), [0, 1]) - - # Check TimeStampedBuffer items after creation - self.assertEqual(list(DataFeatures.TimeStampedBuffer().items()), []) - self.assertEqual(list(DataFeatures.TimeStampedBuffer({0: ""}).items()), [(0, "")]) - self.assertEqual(list(DataFeatures.TimeStampedBuffer({0.1: ""}).items()), [(0.1, "")]) - self.assertEqual(list(DataFeatures.TimeStampedBuffer({0: "A", 1: "B"}).items()), [(0, "A"), (1, "B")]) - - # Check that TimeStampedBuffer creation fails when keys are not numbers - with self.assertRaises(AssertionError): - - DataFeatures.TimeStampedBuffer({"first": ""}) - - def test_from_dataframe(self): - """Test TimeStampedBuffer creation from pandas dataframe.""" - - ts_buffer = random_data_buffer(10, ["data_A", "data_B", "data_C"]) - - # Check dataframe conversion - ts_buffer_from_df = DataFeatures.TimeStampedBuffer.from_dataframe(ts_buffer.as_dataframe()) - - self.assertEqual(len(ts_buffer_from_df), 10) - - def test_from_json(self): - """Test TimeStampedBuffer creation from json file.""" - - # Edit dataframe csv file path - current_directory = os.path.dirname(os.path.abspath(__file__)) - json_filepath = os.path.join(current_directory, 'utils/ts_buffer.json') - - # Load TimeStampedBuffer from json file - ts_buffer = DataFeatures.TimeStampedBuffer.from_json(json_filepath) - - self.assertEqual(len(ts_buffer), 3) - - def test___repr__(self): - """Test TimeStampedBuffer string representation.""" - - self.assertEqual(repr(DataFeatures.TimeStampedBuffer()), "{}") - self.assertEqual(repr(DataFeatures.TimeStampedBuffer({0: ""})), "{\"0\": \"\"}") - self.assertEqual(repr(DataFeatures.TimeStampedBuffer({0.1: ""})), "{\"0.1\": \"\"}") - - data = BasicDataClass((123, 456)) - ts_buffer = DataFeatures.TimeStampedBuffer({0: data}) - - self.assertEqual(repr(ts_buffer), "{\"0\": {\"value\": [123, 456]}}") - - array = numpy.zeros(3) - ts_buffer = DataFeatures.TimeStampedBuffer({0: array}) - - self.assertEqual(repr(ts_buffer), "{\"0\": [0.0, 0.0, 0.0]}") - - def test___str__(self): - """Test TimeStampedBuffer string representation.""" - - self.assertEqual(str(DataFeatures.TimeStampedBuffer()), "{}") - self.assertEqual(str(DataFeatures.TimeStampedBuffer({0: ""})), "{\"0\": \"\"}") - self.assertEqual(str(DataFeatures.TimeStampedBuffer({0.1: ""})), "{\"0.1\": \"\"}") - - data = BasicDataClass((123, 456)) - ts_buffer = DataFeatures.TimeStampedBuffer({0: data}) - - self.assertEqual(str(ts_buffer), "{\"0\": {\"value\": [123, 456]}}") - - array = numpy.zeros(3) - ts_buffer = DataFeatures.TimeStampedBuffer({0: array}) - - self.assertEqual(str(ts_buffer), "{\"0\": [0.0, 0.0, 0.0]}") - - def test_append(self): - """Test TimeStampedBuffer append method.""" - - ts_buffer = DataFeatures.TimeStampedBuffer({0: "A", 1: "B"}) - ts_buffer_next = DataFeatures.TimeStampedBuffer({2: "C", 3: "D"}) - - self.assertEqual(len(ts_buffer.append(ts_buffer_next)), 4) - self.assertEqual(list(ts_buffer.append(ts_buffer_next).keys()), [0, 1, 2, 3]) - - def test_first(self): - """Test TimeStampedBuffer first property.""" - - self.assertEqual(DataFeatures.TimeStampedBuffer({0: "A", 1: "B"}).first, (0, "A")) - - # Check that accessing to first item of an empty TimeStampedBuffer fails - with self.assertRaises(IndexError): - - DataFeatures.TimeStampedBuffer().first - - def test_pop_first(self): - """Test TimeStampedBuffer pop_first method.""" - - ts_buffer = DataFeatures.TimeStampedBuffer({0: "A", 1: "B"}) - - self.assertEqual(ts_buffer.pop_first(), (0, "A")) - self.assertEqual(len(ts_buffer), 1) - self.assertEqual(ts_buffer.first, (1, "B")) - - def test_pop_last_until(self): - """Test TimeStampedBuffer pop_last_until method.""" - - ts_buffer = DataFeatures.TimeStampedBuffer({0: "A", 1: "B", 2: "C", 3: "D"}) - - # Check pop until an existing timestamp - pop_last_until_2 = ts_buffer.pop_last_until(2) - - self.assertEqual(pop_last_until_2, (2, "C")) - self.assertEqual(len(ts_buffer), 2) - self.assertEqual(ts_buffer.first, (2, "C")) - - # Check first until an none existing timestamp - ts_buffer = DataFeatures.TimeStampedBuffer({0: "A", 1: "B", 2: "C", 3: "D"}) - - pop_last_until_1dot5 = ts_buffer.pop_last_until(1.5) - - self.assertEqual(pop_last_until_1dot5, (1, "B")) - self.assertEqual(len(ts_buffer), 3) - self.assertEqual(ts_buffer.first, (1, "B")) - - def test_pop_last_before(self): - """Test TimeStampedBuffer pop_last_before method.""" - - ts_buffer = DataFeatures.TimeStampedBuffer({0: "A", 1: "B", 2: "C", 3: "D"}) - - # Check pop until an existing timestamp - last_before_2 = ts_buffer.pop_last_before(2) - - self.assertEqual(last_before_2, (1, "B")) - self.assertEqual(len(ts_buffer), 2) - self.assertEqual(ts_buffer.first, (2, "C")) - - # Check pop until an none existing timestamp - ts_buffer = DataFeatures.TimeStampedBuffer({0: "A", 1: "B", 2: "C", 3: "D"}) - - first_until_1dot5 = ts_buffer.pop_last_before(1.5) - - self.assertEqual(first_until_1dot5, (1, "B")) - self.assertEqual(len(ts_buffer), 2) - self.assertEqual(ts_buffer.first, (2, "C")) - - def test_last(self): - """Test TimeStampedBuffer last property.""" - - self.assertEqual(DataFeatures.TimeStampedBuffer({0: "A", 1: "B"}).last, (1, "B")) - - # Check that accessing to last item of an empty TimeStampedBuffer fails - with self.assertRaises(IndexError): - - DataFeatures.TimeStampedBuffer().last - - def test_pop_last(self): - """Test TimeStampedBuffer pop_last method.""" - - ts_buffer = DataFeatures.TimeStampedBuffer({0: "A", 1: "B"}) - - self.assertEqual(ts_buffer.pop_last(), (1, "B")) - self.assertEqual(len(ts_buffer), 1) - self.assertEqual(ts_buffer.last, (0, "A")) - - def test_get_first_from(self): - """Test TimeStampedBuffer get_first_from method.""" - - ts_buffer = DataFeatures.TimeStampedBuffer({0: "A", 1: "B", 2: "C", 3: "D"}) - - get_first_from_1 = ts_buffer.get_first_from(1) - - self.assertEqual(get_first_from_1, (1, "B")) - self.assertEqual(len(ts_buffer), 4) - - get_first_from_1dot5 = ts_buffer.get_first_from(1.5) - - self.assertEqual(get_first_from_1dot5, (2, "C")) - - get_first_from_0 = ts_buffer.get_first_from(0) - - self.assertEqual(get_first_from_0, (0, "A")) - - # Check that accessing to lately timestamp fails - with self.assertRaises(KeyError): - - ts_buffer.get_first_from(4) - - def test_get_last_before(self): - """Test TimeStampedBuffer get_last_before method.""" - - ts_buffer = DataFeatures.TimeStampedBuffer({0: "A", 1: "B", 2: "C", 3: "D"}) - - get_last_before_2 = ts_buffer.get_last_before(2) - - self.assertEqual(get_last_before_2, (1, "B")) - self.assertEqual(len(ts_buffer), 4) - - get_last_before_1dot5 = ts_buffer.get_last_before(1.5) - - self.assertEqual(get_last_before_1dot5, (1, "B")) - - get_last_before_4 = ts_buffer.get_last_before(4) - - self.assertEqual(get_last_before_4, (3, "D")) - - # Check that accessing to early timestamp fails - with self.assertRaises(KeyError): - - ts_buffer.get_last_before(-1) - - - def test_get_last_until(self): - """Test TimeStampedBuffer get_last_until method.""" - - ts_buffer = DataFeatures.TimeStampedBuffer({0: "A", 1: "B", 2: "C", 3: "D"}) - - get_last_until_2 = ts_buffer.get_last_until(2) - - self.assertEqual(get_last_until_2, (2, "C")) - self.assertEqual(len(ts_buffer), 4) - - get_last_until_1dot5 = ts_buffer.get_last_until(1.5) - - self.assertEqual(get_last_until_1dot5, (1, "B")) - - get_last_until_4 = ts_buffer.get_last_until(4) - - self.assertEqual(get_last_until_4, (3, "D")) - - # Check that accessing to early timestamp fails - with self.assertRaises(KeyError): - - ts_buffer.get_last_until(-1) - - def test_as_dataframe(self): - """Test TimeStampedBuffer as_dataframe method.""" - - ts_buffer = random_data_buffer(10, ["data_A", "data_B", "data_C"]) - - # Check dataframe conversion - ts_buffer_dataframe = ts_buffer.as_dataframe() - - self.assertEqual(ts_buffer_dataframe.index.name, "timestamp") - self.assertEqual(ts_buffer_dataframe.index.size, 10) - - self.assertEqual(ts_buffer_dataframe.columns.size, 3) - self.assertEqual(ts_buffer_dataframe.columns[0], "data_A") - self.assertEqual(ts_buffer_dataframe.columns[1], "data_B") - self.assertEqual(ts_buffer_dataframe.columns[2], "data_C") - - self.assertEqual(ts_buffer_dataframe.index.dtype, 'float64') - self.assertEqual(ts_buffer_dataframe["data_A"].dtype, 'object') - self.assertEqual(ts_buffer_dataframe["data_B"].dtype, 'object') - self.assertEqual(ts_buffer_dataframe["data_C"].dtype, 'object') - - # Check data exclusion option - ts_buffer_dataframe = ts_buffer.as_dataframe(exclude=["data_B"]) - - self.assertEqual(ts_buffer_dataframe.index.name, "timestamp") - self.assertEqual(ts_buffer_dataframe.index.size, 10) - - self.assertEqual(ts_buffer_dataframe.columns.size, 2) - self.assertEqual(ts_buffer_dataframe.columns[0], "data_A") - self.assertEqual(ts_buffer_dataframe.columns[1], "data_C") - - # Check dataframe split option - ts_buffer_dataframe = ts_buffer.as_dataframe(split={"data_B": ["data_B0", "data_B1"]}) - - self.assertEqual(ts_buffer_dataframe.index.name, "timestamp") - self.assertEqual(ts_buffer_dataframe.index.size, 10) - - self.assertEqual(ts_buffer_dataframe.columns.size, 4) - self.assertEqual(ts_buffer_dataframe.columns[0], "data_A") - self.assertEqual(ts_buffer_dataframe.columns[1], "data_B0") - self.assertEqual(ts_buffer_dataframe.columns[2], "data_B1") - self.assertEqual(ts_buffer_dataframe.columns[3], "data_C") - - # Check dataframe conversion with dataclass - data = BasicDataClass((123, 456)) - ts_buffer_dataframe = DataFeatures.TimeStampedBuffer({0: data}).as_dataframe() - - self.assertEqual(ts_buffer_dataframe.index.name, "timestamp") - self.assertEqual(ts_buffer_dataframe.index.size, 1) - - self.assertEqual(ts_buffer_dataframe.columns.size, 1) - self.assertEqual(ts_buffer_dataframe.columns[0], "value") - - -if __name__ == '__main__': - - unittest.main() \ No newline at end of file -- cgit v1.1