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Original file line number | Diff line number | Diff line change |
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@@ -1,22 +1,15 @@ | ||
import unittest | ||
import pytest | ||
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from analyzer_engine.csv_analyzer_engine import CSVAnalyzerEngine | ||
from config.nlp_engine_config import FlairNLPEngine | ||
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class CSVAnalayzerEngineTest(unittest.TestCase): | ||
def setUp(self) -> None: | ||
nlp_engine = FlairNLPEngine("flair/ner-english-large") | ||
self.csv_analyser = CSVAnalyzerEngine(nlp_engine) | ||
def test_csv_analyzer_engine_anonymizer(): | ||
nlp_engine = FlairNLPEngine("flair/ner-english-large") | ||
csv_analyzer = CSVAnalyzerEngine(nlp_engine) | ||
from presidio_anonymizer import BatchAnonymizerEngine | ||
analyzer_results = csv_analyzer.analyze_csv('./sample_data.csv', language="en") | ||
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def test_csv_analyzer_engine_anonymizer(self): | ||
import pprint | ||
from presidio_anonymizer import BatchAnonymizerEngine | ||
analyzer_results = self.csv_analyser.analyze_csv('./sample_data.csv', language="en") | ||
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pprint.pprint(analyzer_results) | ||
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anonymizer = BatchAnonymizerEngine() | ||
anonymized_results = anonymizer.anonymize_dict(analyzer_results) | ||
pprint.pprint(anonymized_results) | ||
self.assertIsNotNone(anonymized_results) | ||
anonymizer = BatchAnonymizerEngine() | ||
anonymized_results = anonymizer.anonymize_dict(analyzer_results) | ||
assert anonymized_results |
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Original file line number | Diff line number | Diff line change |
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import unittest | ||
import pytest | ||
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from recognizer.flair_recognizer import FlairRecognizer | ||
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class TestFlairRecognizer(unittest.TestCase): | ||
def setUp(self) -> None: | ||
self.recognizer = FlairRecognizer(model_path="flair/ner-english-large") | ||
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def test_flair_recognizer_analyse(self): | ||
test_data = "Sowmya is working in Berkley bank as an accountant since 2021" | ||
result = self.recognizer.analyze(test_data) | ||
self.assertGreater(len(result), 0) | ||
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def test_flair_recognizes_persons_correctly(self): | ||
test_data = "Sowmya is a person name" | ||
self.assertGreater(len(self.recognizer.analyze(test_data)), 0) | ||
test_data = "XXXXXX is a valid name?" | ||
self.assertEquals(len(self.recognizer.analyze(test_data)), 0) | ||
def test_flair_recognizer_analyze(): | ||
recognizer = FlairRecognizer(model_path="flair/ner-english-large") | ||
test_data = "Sowmya is working in Berkley bank as an accountant since 2021" | ||
result = recognizer.analyze(test_data) | ||
assert len(result) > 0 | ||
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def test_flair_recognizes_persons_correctly(): | ||
recognizer = FlairRecognizer(model_path="flair/ner-english-large") | ||
test_data = "Sowmya is a person name" | ||
assert len(recognizer.analyze(test_data)) > 0 | ||
test_data = "XXXXXX is a valid name?" | ||
assert len(recognizer.analyze(test_data)) == 0 |