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Python Code Samples

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39 matches
Streaming & messaging medium

In-Memory PubSub Topic Subscribe Mock in Python

Build a thread-safe in-memory publish/subscribe mock where handlers subscribe to named topics and receive every message published to them.

pubsub mock events
Python
class PubSub:
    def __init__(self):
        self.topics = {}

    def subscribe(self, topic, callback):
        if topic not in self.topics:
            self.topics[topic] = []
        self.topics[topic].append(callback)

    def publish(self, topic, message):
        for callback in self.topics.get(topic, []):
    …
16 0 Open
Streaming & messaging medium

Mock Watermark Late Event Side Output in Python

Simulates watermarking in a streaming pipeline by classifying events as on-time or late using timestamps and delays.

watermark streaming side output
Python
from datetime import datetime, timedelta
from typing import List, Tuple


def watermark_mock(
    events: List[Tuple[datetime, str]], watermark_delay: timedelta, max_delay: timedelta
) -> Tuple[List[Tuple[datetime, str]], List[Tuple[datetime, str]]]:
    """Simulate watermarking: events arriving on time vs. late by ch…
11 0 Open
Caching & Redis medium

Cache Penetration Null Object Mock in Python

Implement a cache that stores a null marker on misses to prevent repeated database hits, reducing cache penetration.

caching null-object ttl
Python
import time
from collections import defaultdict
from typing import Any, Optional


class Cache:
    def __init__(self):
        self.store: dict[str, Any] = {}
        self.ttl: dict[str, float] = {}
        self.null_marker = object()

    def get(self, key: str, ttl: int = 60, fallback:
            Any = None) -> An…
17 0 Open
Caching & Redis medium

Cache Stampede Prevention with SingleFlight in Python

Implements a SingleFlight pattern in Python to deduplicate concurrent cache-miss computations and prevent cache stampede.

caching concurrency singleflight
Python
import threading
import time
from functools import wraps


class SingleFlight:
    def __init__(self):
        self._lock = threading.Lock()
        self._inflight = None

    def do(self, key, fn):
        with self._lock:
            if self._inflight is not None:
                return self._inflight[1]
           …
16 0 Open
Caching & Redis medium

How to Add TTL Jitter to Cache Expiration in Python

A Python decorator that adds random jitter to cache TTLs, staggering expiration times to prevent cache avalanche.

cache ttl jitter
Python
import random
import time
from functools import wraps

def add_jitter(ttl: float, jitter_range: float = 0.1) -> float:
    """Add random jitter (as % of TTL) to stagger cache expiration and prevent avalanche."""
    jitter = random.uniform(-jitter_range, jitter_range)
    return ttl * (1 + jitter)

def cache_with_jitt…
15 0 Open
Reliability & rate limiting medium

How to Implement a Bulkhead Pattern with Threading in Python

Implement a bulkhead pattern in Python that isolates concurrent tasks with a bounded semaphore, limiting active workers to prevent resource exhaustion.

bulkhead threading semaphore
Python
import threading
import time
import random


class Bulkhead:
    def __init__(self, workers: int):
        self._semaphore = threading.BoundedSemaphore(workers)
        self._lock = threading.Lock()
        self._active = 0

    def run(self, task):
        with self._semaphore:
            with self._lock:
          …
13 0 Open
Observability & SRE medium

How to Group Alerts by Time Window in Python

Group alert occurrences that fall within a sliding time window per alert key, reducing noise and summarizing bursts into single events.

alerts grouping monitoring
Python
from collections import defaultdict
from datetime import datetime, timedelta

def group_alerts(alerts, window_minutes=10):
    """Group alerts that occur within the same time window."""
    alerts_by_key = defaultdict(list)
    
    for alert in alerts:
        key = alert["key"]
        timestamp = alert["timestamp"]…
12 0 Open
Microservices patterns medium

How to Mock a Choreography Saga in Python

Simulate a choreography-based saga with event envelopes, status tracking, and compensating actions to model distributed transactions.

saga microservices events
Python
import json
from dataclasses import dataclass, asdict
from typing import List, Optional
from enum import Enum


class SagaStatus(Enum):
    PENDING = "PENDING"
    COMPLETING = "COMPLETING"
    COMPLETED = "COMPLETED"
    FAILED = "FAILED"


@dataclass
class EventEnvelope:
    event_type: str
    order_id: str
    sta…
13 0 Open
Big data & Spark medium

How to Implement a Streaming Watermark in Python

Mock structured streaming watermarks in Python to track late event times and compute a watermark for windowed processing.

streaming watermark spark
Python
from datetime import datetime, timedelta
import time

class StreamingWatermark:
    """Mock watermark tracker for structured streaming."""

    def __init__(self, watermark_delay_seconds):
        self.watermark_delay = timedelta(seconds=watermark_delay_seconds)
        self.max_event_time = None

    def observe_even…
14 0 Open
Big data & Spark medium

How to Mock Spark Streaming Micro-Batches in Python

Simulate Spark's micro-batch streaming with a simple deque-based class that collects events over time and processes them in timed batches.

spark streaming micro-batch
Python
import time
from collections import deque
from datetime import datetime


class MicroBatchStream:
    def __init__(self, batch_interval_sec=2):
        self.batch_interval = batch_interval_sec
        self.source = deque()
        self.processed = []

    def add_events(self, events):
        self.source.extend(events…
13 0 Open
Big data & Spark medium

How to implement a tumbling window aggregation in Python

Build a mock tumbling window aggregator in Python that groups streaming events into fixed time intervals and computes count, sum, and average per window.

tumbling-window streaming aggregation
Python
import time
from collections import deque

class TumblingWindow:
    def __init__(self, duration_seconds):
        self.duration = duration_seconds
        self.buffer = deque()
        self.window_start = None

    def add(self, item):
        current_time = time.time()
        if self.window_start is None:
         …
13 0 Open
Database scaling & optimization medium

How to Implement Read-After-Write Consistency Mock in Python

Simulate strong versus eventual read-after-write consistency with a primary and replica store, demonstrating the difference in data visibility over time.

consistency replication mock
Python
import time


class MockStorage:
    def __init__(self, write_delay=0.1):
        self.store = {}
        self.replica = {}
        self.write_delay = write_delay

    def write(self, key, value):
        # Write to primary storage immediately
        self.store[key] = value
        # Simulate async replication delay
…
13 0 Open
Database scaling & optimization medium

Idempotent Writes for Sharded Databases in Python

Implement a mock shard with idempotent write support using request IDs to prevent duplicate writes and track the latest value per key.

idempotency sharding distributed-systems
Python
import json


class ShardMock:
    """Mock distributed shard with idempotent write support."""

    def __init__(self, shard_id):
        self.shard_id = shard_id
        self._store = {}

    def write(self, key, value, request_id):
        """Write value only if request_id not yet processed; idempotent."""
        i…
13 0 Open
Auth & security at scale medium

How to Implement Refresh Token Rotation in Python

A mock auth service that issues, rotates, and validates refresh tokens, revoking old tokens on reuse to prevent replay attacks.

auth oauth refresh-token
Python
import time
import hashlib
import secrets
from typing import Dict, Optional, Tuple


class MockTokenService:
    """Simulates refresh token rotation for a simple auth system."""

    def __init__(self):
        # Token hash -> (user_id, rotation_count, expires_at)
        self._active_tokens: Dict[str, Tuple[str, int,…
11 0 Open
Auth & security at scale medium

How to Test X-Content-Type-Options nosniff in Python with Mocks

Mock httpx responses and verify that a server's X-Content-Type-Options header includes nosniff to prevent MIME sniffing.

security httpx mocking
Python
import httpx
from unittest.mock import Mock, patch

def fetch_headers(url: str) -> dict:
    response = httpx.get(url)
    return dict(response.headers)

def mock_nosniff_check(response) -> bool:
    content_type = response.headers.get("content-type", "")
    x_content_type_options = response.headers.get("x-content-ty…
13 0 Open

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