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# csv_reader.py - tests
# Author: Alex Schofield
import boto3
from moto import mock_s3
from obfuscator.csv_reader import CSVReader
reader = CSVReader()
# CSVREADER: READ_STRING TESTS
# Check if the function can read a CSV string with no content and return
# an empty list
def test_empty_csv_should_return_no_content():
content = ""
result = reader.read_string(content)
expected = []
assert result == expected
# Check if the function can read a CSV string with only a header and return
# an empty list
def test_csv_with_header_only_should_return_no_content():
content = "student_id,name,course\n"
result = reader.read_string(content)
expected = []
assert result == expected
# Check if the function can read a CSV string with valid data and return
# a list of dictionaries
def test_csv_with_valid_data():
content = (
"student_id,name,course\n"
"1234,Student 1,Course 1\n"
"5678,Student 2,Course 2\n"
)
result = reader.read_string(content)
expected = [
{"student_id": "1234", "name": "Student 1", "course": "Course 1"},
{"student_id": "5678", "name": "Student 2", "course": "Course 2"},
]
assert result == expected
# Check if the function can read a CSV string with quoted fields and return
# a list of dictionaries with the quoted fields intact
def test_csv_with_quoted_fields_should_run_as_expected():
content = (
"student_id,name,course\n"
'1234,"Student 1","Course 1"\n'
'5678,"Student 2","Course 2"\n'
)
result = reader.read_string(content)
expected = [
{"student_id": "1234", "name": "Student 1", "course": "Course 1"},
{"student_id": "5678", "name": "Student 2", "course": "Course 2"},
]
assert result == expected
# CSVREADER: READ_S3 TESTS
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