I am writing unit test case for a function which has multiple sql queries in it.I am using psycopg2 module and trying to mock the cursor.
app.py
import psycopg2
def my_function():
# all connection related code goes here ...
query = "SELECT name,phone FROM customer WHERE name='shanky'"
cursor.execute(query)
columns = [i[0] for i in cursor.description]
customer_response = []
for row in cursor.fetchall():
customer_response.append(dict(zip(columns, row)))
query = "SELECT name,id FROM product WHERE name='soap'"
cursor.execute(query)
columns = [i[0] for i in cursor.description]
product_response = []
for row in cursor.fetchall():
product_response.append(dict(zip(columns, row)))
return product_response
test.py
from pytest_mock import mocker
import psycopg2
def test_my_function(mocker):
from my_module import app
mocker.patch('psycopg2.connect')
#first query
mocked_cursor_one = psycopg2.connect.return_value.cursor.return_value
mocked_cursor_one.description = [['name'],['phone']]
mocked_cursor_one.fetchall.return_value = [('shanky', '347539593')]
mocked_cursor_one.execute.call_args == "SELECT name,phone FROM customer WHERE name='shanky'"
#second query
mocked_cursor_two = psycopg2.connect.return_value.cursor.return_value
mocked_cursor_two.description = [['name'],['id']]
mocked_cursor_two.fetchall.return_value = [('nirma', 12313)]
mocked_cursor_two.execute.call_args == "SELECT name,id FROM product WHERE name='soap'"
ret = app.my_function()
assert ret == {'name' : 'nirma', 'id' : 12313}
But the mocker always takes the last mock object (the second query).I have already tried multiple hacks, but that didn't work out. How can i mock multiple queries in one function and successfully pass the unit test case? Is it possible to write a unit test case in this fashion or do i need to split the queries in different functions?
After drilling a lot through the documentation, I was able to achieve this with the help of unittest mock decorator and side_effect which was suggested by @Pavel Vergeev.I was able to write a unit test case that is good enough to test the functionality.
from unittest import mock
from my_module import app
@mock.patch('psycopg2.connect')
def test_my_function(mocked_db):
mocked_cursor = mocked_db.return_value.cursor.return_value
description_mock = mock.PropertyMock()
type(mocked_cursor).description = description_mock
fetchall_return_one = [('shanky', '347539593')]
fetchall_return_two = [('nirma', 12313)]
descriptions = [
[['name'],['phone']],
[['name'],['id']]
]
mocked_cursor.fetchall.side_effect = [fetchall_return_one, fetchall_return_two]
description_mock.side_effect = descriptions
ret = app.my_function()
# assert whether called with mocked side effect objects
mocked_db.assert_has_calls(mocked_cursor.fetchall.side_effect)
# assert db query count is 2
assert mocked_db.return_value.cursor.return_value.execute.call_count == 2
# first query
query1 = """
SELECT name,phone FROM customer WHERE name='shanky'
"""
assert mocked_db.return_value.cursor.return_value.execute.call_args_list[0][0][0] == query1
# second query
query2 = """
SELECT name,id FROM product WHERE name='soap'
"""
assert mocked_db.return_value.cursor.return_value.execute.call_args_list[1][0][0] == query2
# assert the data of response
assert ret == {'name' : 'nirma', 'id' : 12313}
In addition to this if there are dynamic parameters in the query, that can be asserted too by the following method.
assert mocked_db.return_value.cursor.return_value.execute.call_args_list[0][0][1] = (parameter_name,)
so when the first query is executed, cursor.execute(query,(parameter_name,)) at call_args_list[0][0][0] the query can be obtained and asserted, at call_args_list[0][0][1] the first parameter parameter_name can be obtained. similarly incrementing the index, all the other params and different queries can be obtained and asserted.
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