|
3 | 3 | import unittest |
4 | 4 | from pathlib import Path |
5 | 5 |
|
6 | | -from common.validator.validator import Validator |
| 6 | +from test_common.validator.testing_utils.constants import CSV_HEADER |
| 7 | +from test_common.validator.testing_utils.constants import CSV_VALUES |
7 | 8 |
|
8 | | -CSV_HEADER = ( |
9 | | - "NHS_NUMBER,PERSON_FORENAME,PERSON_SURNAME,SITE_CODE," |
10 | | - "PERFORMING_PROFESSIONAL_FORENAME,PERFORMING_PROFESSIONAL_SURNAME,PRIMARY_SOURCE," |
11 | | - "VACCINATION_PROCEDURE_CODE,VACCINATION_PROCEDURE_TERM,DOSE_SEQUENCE," |
12 | | - "VACCINE_PRODUCT_CODE,VACCINE_PRODUCT_TERM,VACCINE_MANUFACTURER,BATCH_NUMBER" |
13 | | -) |
| 9 | +from common.validator.validator import Validator |
14 | 10 |
|
15 | | -schema_data_folder = Path(__file__).parent / "schemas" |
| 11 | +schema_data_folder = Path(__file__).parent / "test_schemas" |
16 | 12 | schemaFilePath = schema_data_folder / "test_schema.json" |
17 | 13 |
|
18 | 14 |
|
19 | 15 | class TestValidator(unittest.TestCase): |
| 16 | + """ |
| 17 | + Unit tests for the CSV row validation logic using the Validator class. |
| 18 | + """ |
| 19 | + |
20 | 20 | @staticmethod |
21 | | - def build_row(header: str, values: dict) -> str: |
| 21 | + def build_row(header: str, csv_file: dict) -> str: |
| 22 | + """ |
| 23 | + Construct a CSV row string from the provided csv_file. |
| 24 | + Any missing header columns get empty string values. |
| 25 | + """ |
22 | 26 | cols = header.split(",") |
23 | | - return ",".join(str(values.get(col, "")) for col in cols) |
| 27 | + return ",".join(str(csv_file.get(col, "")) for col in cols) |
24 | 28 |
|
25 | 29 | def setUp(self): |
26 | | - with open(schemaFilePath) as JSON: |
27 | | - SchemaFile = json.load(JSON) |
28 | | - self.validator = Validator(SchemaFile) |
| 30 | + with open(schemaFilePath, encoding="utf-8") as file: |
| 31 | + schema_file = json.load(file) |
| 32 | + self.validator = Validator(schema_file) |
29 | 33 |
|
30 | | - def test_run_validation_csv_row_success(self): |
31 | | - values = { |
32 | | - "NHS_NUMBER": "9000000009", |
33 | | - "PERSON_FORENAME": "JOHN", |
34 | | - "PERSON_SURNAME": "DOE", |
35 | | - "SITE_CODE": "RJ1", |
36 | | - "PERFORMING_PROFESSIONAL_FORENAME": "ALICE", |
37 | | - "PERFORMING_PROFESSIONAL_SURNAME": "SMITH", |
38 | | - "PRIMARY_SOURCE": "true", |
39 | | - "VACCINATION_PROCEDURE_CODE": "PROC123", |
40 | | - "VACCINATION_PROCEDURE_TERM": "Procedure Term", |
41 | | - "DOSE_SEQUENCE": 1, |
42 | | - "VACCINE_PRODUCT_CODE": "VACC123", |
43 | | - "VACCINE_PRODUCT_TERM": "Vaccine Term", |
44 | | - "VACCINE_MANUFACTURER": "Manufacturer XYZ", |
45 | | - "BATCH_NUMBER": "BATCH001", |
46 | | - } |
47 | | - good_row = self.build_row(CSV_HEADER, values) |
48 | | - error_report = self.validator.validate_csv_row(good_row, CSV_HEADER, True, True, True) |
| 34 | + def test_run_validation_on_valid_csv_row(self): |
| 35 | + valid_rows = self.build_row(CSV_HEADER, CSV_VALUES) |
| 36 | + error_report = self.validator.validate_csv_row(valid_rows, CSV_HEADER, True, True, True) |
49 | 37 | self.assertEqual(error_report, []) |
50 | 38 |
|
51 | | - def test_run_validation_csv_row_failure(self): |
52 | | - # With fieldNameFlat used for CSV, empty NHS_NUMBER should fail the NOTEMPTY check |
53 | | - values = { |
54 | | - "NHS_NUMBER": "", |
55 | | - "PERSON_FORENAME": "JOHN", |
56 | | - "PERSON_SURNAME": "DOE", |
57 | | - "SITE_CODE": "RJ1", |
58 | | - "PERFORMING_PROFESSIONAL_FORENAME": "ALICE", |
59 | | - "PERFORMING_PROFESSIONAL_SURNAME": "SMITH", |
60 | | - "PRIMARY_SOURCE": "true", |
61 | | - "VACCINATION_PROCEDURE_CODE": "PROC123", |
62 | | - "VACCINATION_PROCEDURE_TERM": "Procedure Term", |
63 | | - "DOSE_SEQUENCE": 1, |
64 | | - "VACCINE_PRODUCT_CODE": "VACC123", |
65 | | - "VACCINE_PRODUCT_TERM": "Vaccine Term", |
66 | | - "VACCINE_MANUFACTURER": "Manufacturer XYZ", |
67 | | - "BATCH_NUMBER": "BATCH001", |
68 | | - } |
69 | | - bad_row = self.build_row(CSV_HEADER, values) |
70 | | - error_report = self.validator.validate_csv_row(bad_row, CSV_HEADER, True, True, True) |
| 39 | + def test_run_validation_on_invalid_csv_row(self): |
| 40 | + invalid_rows = self.build_row(CSV_HEADER, {**CSV_VALUES, "NHS_NUMBER": ""}) |
| 41 | + error_report = self.validator.validate_csv_row(invalid_rows, CSV_HEADER, True, True, True) |
71 | 42 | self.assertTrue(len(error_report) > 0) |
72 | | - # Assert the NHS Number NOTEMPTY error is present |
73 | 43 | messages = [(e.name, e.message, e.details) for e in error_report] |
74 | | - self.assertIn( |
75 | | - ("NHS Number Not Empty Check", "Value not empty failure", "Value is empty, not as expected"), messages |
| 44 | + expected_error = ( |
| 45 | + "NHS Number Not Empty Check", |
| 46 | + "Value not empty failure", |
| 47 | + "Value is empty, not as expected", |
76 | 48 | ) |
| 49 | + self.assertIn(expected_error, messages) |
0 commit comments