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import os
import unittest
import numpy as np
import pandas as pd
from dyda_utils import data
from dyda_utils import tools
from dyda_utils import lab_tools
from dyda_utils import pandas_data
from dyda.components.data_reader import JsonReaderFix
from dyda.components.data_reader import Video2FrameReader
from dyda.components.data_reader import CsvDataReader
from dyda_utils import dict_comparator
class TestJsonReaderFix(unittest.TestCase):
def test_main_process(self):
# pull test data from gitlab
config_url = 'https://gitlab.com/DT42/galaxy42/dt42-dyda/uploads/'\
'611776ae5881ecb301eb0df91cafd4ae/JsonReaderFix.config'
dyda_config = lab_tools.pull_json_from_gitlab(config_url)
output_url = 'https://gitlab.com/DT42/galaxy42/dt42-dyda/uploads/'\
'25e0372cec8b562c10e098d3295dd0fa/JsonReaderFix_output.json'
output_list = lab_tools.pull_json_from_gitlab(output_url)
# initialization
unit_tested_ = JsonReaderFix(dyda_config_path=dyda_config)
# run frame_selector
unit_tested_.reset()
unit_tested_.run()
# compare results with reference
ref_data = output_list
tar_data = unit_tested_.results
report = dict_comparator.get_diff(ref_data, tar_data)
self.assertEqual(report['extra_field'], [])
self.assertEqual(report['missing_field'], [])
self.assertEqual(report['mismatch_val'], [])
class TestVideo2FrameReader(unittest.TestCase):
def test_main_process(self):
testing_video_path = (
"/home/shared/DT42/test_data/test_video_to_frame/test.avi"
)
if os.path.exists(testing_video_path):
pass
else:
print("TestVideo2FrameReader: No testing data found in: %s,"
"this test is skipped." % testing_video_path)
# pull test data from gitlab
config_url = ('https://gitlab.com/DT42/galaxy42/dt42-dyda/uploads/'
'45c24c8d19e9512e9ba5df79f9aef16a/'
'video2frame.dyda.config')
dyda_config = lab_tools.pull_json_from_gitlab(config_url)
output_url = ('https://gitlab.com/DT42/galaxy42/dt42-dyda/uploads/'
'f959eac0b515a1d977d50ffb3dd26988/video2frame.results')
output_list = lab_tools.pull_json_from_gitlab(output_url)
unit_tested_ = Video2FrameReader(dyda_config_path=dyda_config)
unit_tested_.reset()
unit_tested_.input_data = testing_video_path
unit_tested_.run()
# compare results with reference
ref_data = output_list
tar_data = unit_tested_.results
report = dict_comparator.get_diff(ref_data, tar_data)
self.assertEqual(report['extra_field'], [])
self.assertEqual(report['missing_field'], [])
self.assertEqual(report['mismatch_val'], [])
class TestCsvDataReader(unittest.TestCase):
def test_main_process(self):
output_CsvDataReader = pd.DataFrame(index=np.arange(10),
columns=['virtual_id',
'timestamps',
'longitude',
'latitude'])
output_CsvDataReader.loc[:, 'virtual_id'] = \
'284a38ab19acfe79b5a88b02e1d82699829b0153656a099f48f4a4d77064fb92'
output_CsvDataReader.loc[:, 'timestamps'] = [1504079020649,
1504107661539,
1504108731950,
1504109664983,
1504144235032,
1504145332035,
1504146333094,
1504152251840,
1504153206049,
1505180279414]
output_CsvDataReader.loc[:, 'longitude'] = [-122.031,
-122.073,
-122.19,
-122.332,
-122.217,
-122.065,
-122.061,
-122.185,
-122.185,
-122.33]
output_CsvDataReader.loc[:, 'latitude'] = [47.549,
47.553,
47.58,
47.6,
47.582,
47.544,
47.546,
47.614,
47.618,
47.601]
# in the present folder create csv for check
CsvData_input_path = './test_CsvDataReader_temp.csv'
output_CsvDataReader.to_csv(CsvData_input_path)
# test simple case
dyda_config_CsvDataReader_simple = {
'CsvDataReader': {"index_col": 0}
}
# initialization
comp = CsvDataReader(
dyda_config_path=dyda_config_CsvDataReader_simple
)
# run component
comp.reset()
comp.input_data = CsvData_input_path
comp.run()
# compare output_data with reference
ref_data = output_CsvDataReader
ref_data = pandas_data.df_to_lab_anno(ref_data)
tar_data = comp.output_data
tar_data = pandas_data.df_to_lab_anno(tar_data)
report = dict_comparator.get_diff(ref_data, tar_data)
self.assertEqual(report['extra_field'], [])
self.assertEqual(report['missing_field'], [])
self.assertEqual(report['mismatch_val'], [])
# test case with specified thousands
dyda_config_CsvDataReader_thousands = {
'CsvDataReader': {"thousands": ',',
"index_col": 0}
}
# initialization
comp = CsvDataReader(
dyda_config_path=dyda_config_CsvDataReader_thousands
)
# run component
comp.reset()
comp.input_data = CsvData_input_path
comp.run()
# compare output_data with reference
ref_data = output_CsvDataReader
ref_data = pandas_data.df_to_lab_anno(ref_data)
tar_data = comp.output_data
tar_data = pandas_data.df_to_lab_anno(tar_data)
report = dict_comparator.get_diff(ref_data, tar_data)
self.assertEqual(report['extra_field'], [])
self.assertEqual(report['missing_field'], [])
self.assertEqual(report['mismatch_val'], [])
# remove the file created for check
os.remove(CsvData_input_path)
if __name__ == '__main__':
unittest.main()
|
