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# When to Mock
Mock at **system boundaries** only:
* External APIs (payment, email, etc.)
* Databases (sometimes - prefer test DB)
* Time/randomness
* File system (sometimes)
Don't mock:
* Your own classes/modules
* Internal collaborators
* Anything you control
## Designing for Mockability
At system boundaries, design interfaces that are easy to mock:
**1. Use dependency injection**
Pass external dependencies in rather than creating them internally:
```python
import os
# Easy to mock
def process_payment(order, payment_client):
return payment_client.charge(order.total)
# Hard to mock
def process_payment(order):
client = StripeClient(os.getenv("STRIPE_KEY"))
return client.charge(order.total)
```
**2. Prefer SDK-style interfaces over generic fetchers**
Create specific functions for each external operation instead of one generic function with conditional logic:
```python
import requests
# GOOD: Each function is independently mockable
class UserAPI:
def get_user(self, user_id):
return requests.get(f"/users/{user_id}")
def get_orders(self, user_id):
return requests.get(f"/users/{user_id}/orders")
def create_order(self, data):
return requests.post("/orders", json=data)
# BAD: Mocking requires conditional logic inside the mock
class GenericAPI:
def fetch(self, endpoint, method="GET", data=None):
return requests.request(method, endpoint, json=data)
```
The SDK approach means:
* Each mock returns one specific shape
* No conditional logic in test setup
* Easier to see which endpoints a test exercises
* Type safety per endpoint