Tag: mock

This post focus’ on common hurdles when trying to do unit testing.

Testing Values During Run

You add the following line to anywhere you want to pause the unit test to check values.

import pdb
pdb.set_trace()

How to Patch a Function

from unittest.mock import path

@patch('src.path.to.file.my_function')
@path('src.path.to.file.my_function_add')
def test_some_function(mock_my_function_add, mock_my_function):
    mock_function_add.return_value = <something>
    .......

How to Patch a Function With No Return Value

from unittest.mock import patch

def test_some_function():
    with(patch('src.path.to.file.my_function'):
        ...

How to Patch a Function With 1 Return Value

from unittest.mock import patch

def test_some_function():
    with(patch('src.path.to.file.my_function', MagicMock(return_value=[<MY_VALUES>])):
        ...

How to Patch a Function With Multiple Return Value

from unittest.mock import patch

def test_some_function():
    with(patch('src.path.to.file.my_function', MagicMock(side-effect=[[<MY_VALUES>], [<OTHER_VALUES>]])):
        ...

How to Create a Test Module

from unittest import TestCase

class MyModule(TestCase):
    def setUp(self):
        some_class.my_variable = <something>
        ... DO OTHER STUFF
    def test_my_function(self):
        ... DO Function Test Stuff

How to Patch a Method

patch_methods = [
    "pyodbc.connect"
]

for method in patch_methods:
    patch(method).start()

How to create a PySpark Session

Now once you do this you can just call spark and it will set it.

import pytest
from pyspark.sql import SparkSession

@pytest.fixture(scope='module')
def spark():
    return (SparkSession.builder.appName('pyspark_test').getOrCreate())

How to Create a Spark SQL Example

import pytest
from pyspark.sql import SparkSession, Row
from pyspark.sql.types import StructType, StructField, StringType

@pytest.fixture(scope='module')
def spark():
    return (SparkSession.builder.appName('pyspark_test').getOrCreate())

def test_function(spark):
    query = 'SELECT * FROM SOMETHING'
    schema = StructType([
        StructField('column_a', StringType()),
        StructField('column_b', StringType()),
        StructField('column_c', StringType()),
    ])

data = [Row(column_a='a', column_b='b', column_c='c')]
table = spark.createDataFrame(data, schema=schema)
table.createOrReplaceTempView('<table_name>')
df = spark.sql(query).toPandas()

assert not df.empty
assert df.shape[0] == 1
assert df.shape(1) == 5

spark.catalog.dropTempView('<table_name>')

How to Mock a Database Call

First let’s assume you have an exeucte sql function

def execute_sql(cursor, sql, params):
    result = cursor.execute(sql, params).fetchone()
    connection.commit()
    return result

Next in your unit tests you want to test that funciton

def test_execute_sql():
    val = <YOUR_RETURN_VALUE>
    with patch('path.to.code.execute_sql', MagicMock(return_value=val)) as mock_execute:
        return_val = some_other_function_that_calls_execute_sql(....)
        assert return_val == val

If you need to close a cursor or DB connection

def test_execute_sql():
    val = <YOUR_RETURN_VALUE>
    mock_cursor = MagicMock()
    mock_cursor.configure_mock(
        **{
              "close": MagicMock()
         }
    )
    mock_connection = MagicMock()
    mock_connection.configure_mock(
        **{
            "close": MagicMock()
        }
    )

    with patch('path.to.code.cursor', MagicMock(return_value=mock_cursor)) as mock_cursor_close:
        with patch('path.to.code.connection', MagicMock(return_value=mock_connection)) as mock_connection_close:
            return_val = some_other_function_that_calls_execute_sql(....)
            assert return_val == val

How to Mock Open a File Example 1

@patch('builtins.open", new_callable=mock_open, read_data='my_data')
def test_file_open(mock_file):
    assert open("my/file/path/filename.extension").read() == 'my_data'
    mock_file.assert_called_with("my/file/path/filename.extension")

    val = function_to_test(....)
    assert 'my_data' == val

How to Mock Open a File Example 2

def test_file_open():
    fake_file_path = 'file/path/to/mock'
    file_content_mock = 'test'
    with patch('path.to.code.function'.format(__name__), new=mock_open(read_data=file_content_mock)) as mock_file:
        with patch(os.utime') as mock_utime:
            actual = function_to_test(fake_file_path)
            mock_file.assert_called_once_with(fake_file_path)
            assertIsNotNone(actual)

Compare DataFrames

def as_dicts(df):
    df = [row.asDict() for row in df.collect()]
    return sorted(df, key=lambda row: str(row))

assert as_dicts(df1) == as_dicts(df2)