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Python Code Samples

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4 matches
Caching & Redis easy

Cache Asides in Python with a Read-Through Loader

Implements a cache-aside pattern with a read-through loader that fetches missing keys from a backing data store and caches them.

caching cache-aside read-through
Python 
class DataStore:
    """Mock database with a few records."""
    def __init__(self):
        self.data = {1: "Alice", 2: "Bob", 3: "Charlie"}

    def get(self, key):
        print(f"Loading key {key} from database")
        return self.data.get(key)


class CacheAsideLoader:
    """Cache-aside pattern with a read-thr…
15 0 Open
Caching & Redis easy

Redis Cache Helper Class in Python with TTL

Build a DataHelper class that caches function results in Redis with a default TTL, using get_or_set and clear methods.

redis caching cache-aside
Python 
import redis
import json
import time


class DataHelper:
    def __init__(self, host="localhost", port=6379, db=0, default_ttl=60):
        self.client = redis.Redis(host=host, port=port, db=db, decode_responses=True)
        self.default_ttl = default_ttl

    def get_or_set(self, key, data_func, ttl=None):
        c…
12 0 Open
Caching & Redis easy

Simple Redis Cache Helper in Python

Build a minimal Redis-backed cache with TTL, JSON serialization, and automated fetching to speed up repeated expensive lookups.

redis caching cache-aside
Python 
import time
import redis
import json


class SimpleCache:
    def __init__(self, host="localhost", port=6379, db=0, default_ttl=60):
        self.client = redis.Redis(host=host, port=port, db=db, decode_responses=True)
        self.default_ttl = default_ttl

    def get(self, key):
        value = self.client.get(key)…
10 0 Open
Microservices patterns easy

Cache-Aside Pattern in Python: Per-Service Mock

A Python mock of the cache-aside pattern for a single microservice—lazy-load from a database into an in-memory cache and invalidate on updates.

caching microservices cache-aside
Python 
class ServiceCache:
    def __init__(self):
        self.database = {"user:1": "Alice", "user:2": "Bob", "user:3": "Charlie"}
        self.cache = {}

    def get_user(self, user_id):
        cache_key = f"user:{user_id}"
        if cache_key in self.cache:
            print(f"CACHE HIT: {cache_key}")
            retu…
12 0 Open

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