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A/B testing & experimentation

User bucketing, experiment metrics, statistical comparison, and rollout guardrails.

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 easy

How to Mock a Remote Config Fetch in Python

Simulate a remote config API response with metadata, timestamps, and mock data for testing or local development.

mock config testing

Python

import json
from datetime import datetime
from typing import Any, Dict

def fetch_remote_config(mock_data: Dict[str, Any]) -> Dict[str, Any]:
    """Simulate fetching a remote config with metadata and timestamps."""
    return {
        "status": "success",
        "source": "mock",
        "fetched_at": datetime.utcn…

14 0 Open

A/B testing & experimentation easy

How to Mock an Exposure Event Log Record in Python

Generate a realistic exposure event record with UUID, UTC timestamp, and risk level for testing or experimentation.

mocking events testing

Python

import uuid
from datetime import datetime, timezone


def mock_exposure_event(person_id: str, location: str, duration_minutes: int) -> dict:
    return {
        "event_id": str(uuid.uuid4()),
        "person_id": person_id,
        "location": location,
        "duration_minutes": duration_minutes,
        "timestamp…

16 0 Open

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