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3 matches

How to Create a Sticky Consistent Mock with unittest.mock in Python

Shows how to use unittest.mock.patch.object to mock a method consistently across multiple calls, returning a sticky value every time.

unittest mock testing

Python

from unittest.mock import patch

class Database:
    def fetch(self, key):
        return f"real value for {key}"

def get_value(db, key):
    return db.fetch(key)

if __name__ == "__main__":
    db = Database()
    with patch.object(db, "fetch", return_value="sticky value") as mock_fetch:
        result1 = get_value(…

15 0 Open

A/B testing & experimentation medium

How to Mock Sequential Calls in Python with unittest.mock

Use Mock.side_effect to return a different result for each sequential call and verify the call order with assert_has_calls.

mock unittest testing

Python

import unittest
from unittest.mock import Mock

class Service:
    def fetch(self, item_id):
        raise NotImplementedError

def process_items(service, ids):
    results = []
    for item_id in ids:
        result = service.fetch(item_id)
        results.append(result)
    return results

if __name__ == "__main__":…

14 0 Open

A/B testing & experimentation medium

How to Mock Time for Cache TTL Testing in Python

This code demonstrates how to test a cache's TTL expiration logic by mocking time.time with unittest.mock to control the passage of time.

caching ttl unit-testing

Python

import time
from unittest.mock import patch

class ConfigCache:
    def __init__(self, ttl=60):
        self.ttl = ttl
        self._store = {}
        self._timestamps = {}

    def get(self, key):
        if key not in self._store:
            return None
        if time.time() - self._timestamps[key] > self.ttl:
  …

17 0 Open

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