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import json | |
import unittest | |
from aip_trainer.lambdas import lambdaGetSample | |
from tests import test_logger | |
def helper_category(category: int, threshold_min: int, threshold_max: int, n: int = 1000): | |
for _ in range(n): | |
event = {'body': json.dumps({'category': category, 'language': 'de'})} | |
response = lambdaGetSample.lambda_handler(event, []) | |
response_dict = json.loads(response) | |
number_of_words = len(response_dict['real_transcript'][0].split()) | |
try: | |
assert threshold_min < number_of_words <= threshold_max | |
except AssertionError: | |
test_logger.error( | |
f"Category: {category} had a sentence with length {number_of_words}.") | |
raise AssertionError | |
class TestDataset(unittest.TestCase): | |
def test_random_sentences(self): | |
helper_category(0, 0, 40) | |
def test_easy_sentences(self): | |
helper_category(1, 0, 8) | |
def test_normal_sentences(self): | |
helper_category(2, 8, 20) | |
def test_hard_sentences(self): | |
helper_category(3, 20, 10000) | |
if __name__ == '__main__': | |
unittest.main() | |