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Python Code Samples

Copy-ready Python snippets by topic and difficulty — short, focused, and runnable in the browser editor.

98 matches
Streaming & messaging easy

How to deduplicate messages by ID in Python

Track seen message IDs in a set to skip duplicate messages and store unique content in a dict, with exact output showing which messages were added or skipped.

deduplication set messaging
Python
import time

class MessageStore:
    def __init__(self):
        self.seen_ids = set()
        self.messages = {}
    
    def add(self, message_id, content, timestamp=None):
        timestamp = timestamp or time.time()
        if message_id in self.seen_ids:
            return False
        self.seen_ids.add(message_…
12 0 Open
Streaming & messaging easy

Implement a FIFO Message Queue in Python with deque

This code implements a FIFO (first-in-first-out) message queue class using Python's collections.deque, providing enqueue, dequeue, peek, and size operations.

queue deque fifo
Python
from collections import deque

class MessageQueue:
    def __init__(self):
        self.queue = deque()

    def enqueue(self, message):
        self.queue.append(message)
        print(f"Enqueued: {message}")

    def dequeue(self):
        if self.is_empty():
            print("Queue is empty, cannot dequeue.")
    …
14 0 Open
Streaming & messaging medium

Implement a retry queue with visibility timeout in Python

This code simulates a message queue with a visibility timeout, allowing messages to be retried if not deleted before the timeout expires.

queue retry visibility-timeout
Python
import time
from collections import deque


class SimpleQueue:
    def __init__(self, visibility_timeout=2):
        self.queue = deque()
        self.in_flight = {}
        self.visibility_timeout = visibility_timeout

    def send(self, message):
        self.queue.append(message)

    def receive(self):
        if …
13 0 Open
Streaming & messaging medium

Implement the Transactional Outbox Pattern with SQLite in Python

A Python implementation of the transactional outbox pattern using SQLite, ensuring atomic writes of order data and outbox events in a single transaction while supporting reliable message publishing and consumption.

outbox-pattern sqlite transactions
Python
import sqlite3
from dataclasses import dataclass
from datetime import datetime, timezone
import json

@dataclass
class Order:
    order_id: str
    amount: float
    status: str

class TransactionalOutbox:
    def __init__(self, db_path=":memory:"):
        self.conn = sqlite3.connect(db_path)
        self._create_tab…
22 0 Open
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

Kafka Consumer Poll Loop Mock in Python

Simulate a Kafka consumer poll loop with a mock class, process messages in batches, and commit offsets to understand streaming consumption patterns.

kafka streaming mock
Python
import time

class MockKafkaConsumer:
    def __init__(self, topic, messages):
        self.topic = topic
        self.messages = list(messages)
        self.position = 0

    def poll(self, timeout_ms=100):
        if self.position >= len(self.messages):
            time.sleep(timeout_ms / 1000)
            return []…
13 0 Open
Streaming & messaging easy

Mock NATS queue group load balancing in Python

Simulates a NATS queue group where each message is delivered to exactly one subscriber using random selection with a lightweight mock.

nats queue-group messaging
Python
import random
import time
from collections import defaultdict


class MockQueueGroup:
    """Mock a NATS queue group: each message is delivered to exactly one subscriber."""

    def __init__(self, subscribers):
        self.subscribers = subscribers

    def publish(self, message):
        receiver = random.choice(se…
13 0 Open
Streaming & messaging easy

Redis Pub/Sub Channel Subscribe Mock in Python

A lightweight in-memory mock of Redis pub/sub that lets you subscribe to channels, publish messages, and verify handler behavior in tests without a real Redis server.

redis pubsub testing
Python
class MockRedisPubSub:
    def __init__(self):
        self.channels = {}

    def subscribe(self, channel):
        if channel not in self.channels:
            self.channels[channel] = []
        return self.channels[channel]

    def publish(self, channel, message):
        if channel in self.channels:
            …
11 0 Open
Streaming & messaging medium

Simulate RabbitMQ QoS Prefetch Count in Python

Mocks RabbitMQ QoS prefetch semantics using threading and a queue to cap concurrent unacked message processing per worker.

rabbitmq threading qos
Python
import threading
import time
import queue


class RabbitMQMock:
    def __init__(self, prefetch_count=1):
        self.prefetch_count = prefetch_count
        self.channel_queue = queue.Queue()
        self.currently_processing = 0
        self.lock = threading.Lock()

    def start_consuming(self, messages, worker_co…
13 0 Open
Streaming & messaging easy

Using the retained message flag in MQTT with Python

This script subscribes to an MQTT topic and prints the retained flag for each received message, demonstrating how to distinguish retained messages from normal ones.

mqtt paho-mqtt iot
Python
import paho.mqtt.client as mqtt

def on_connect(client, userdata, flags, rc):
    print(f"Connected with result code {rc}")
    # Subscribe to a topic and check retained flag
    client.subscribe("test/retained")
    print("Subscribed to test/retained")

def on_message(client, userdata, msg):
    # msg.retain is the M…
14 0 Open
Caching & Redis medium

How to Mock Redis Pub/Sub in Python

Test Redis pub/sub logic without a live server using an in-memory fake that queues published messages per channel.

redis pubsub testing
Python
import redis
import time
import threading


class MockRedisPubSub:
    def __init__(self):
        self.channels = {}

    def publish(self, channel, message):
        if channel not in self.channels:
            return 0
        for subscriber in self.channels[channel]:
            subscriber.put(message)
        ret…
13 0 Open
Reliability & rate limiting medium

At Least Once with Idempotent Consumer in Python

Implements a thread-safe idempotent consumer that processes each unique message exactly once, even when a producer sends duplicates under an at-least-once delivery model.

idempotency at-least-once threading
Python
import threading
import time
import uuid
from collections import Counter


class IdempotentConsumer:
    def __init__(self):
        self.processed = set()
        self._lock = threading.Lock()

    def consume(self, message_id, payload):
        with self._lock:
            if message_id in self.processed:
          …
16 0 Open
Reliability & rate limiting easy

How to Deduplicate Messages in Python by ID

This code consumes a mock inbox of JSON messages and deduplicates them by message ID, keeping either the first or last occurrence.

deduplication inbox json
Python
import json
from collections import OrderedDict

mock_inbox = [
    {"id": 1, "message": "hello", "timestamp": "2024-01-01T10:00:00Z"},
    {"id": 2, "message": "world", "timestamp": "2024-01-01T10:01:00Z"},
    {"id": 1, "message": "hello", "timestamp": "2024-01-01T10:00:00Z"},
    {"id": 3, "message": "test", "times…
15 0 Open
Reliability & rate limiting easy

How to Implement Message Visibility Timeout Renewal in Python

Simulate queue message visibility control with timeout renewal using a simple Python class that tracks received time and visibility state.

visibility-timeout queue sqs
Python
import time
import uuid

class Message:
    def __init__(self, body, visibility_timeout=30):
        self.body = body
        self.visibility_timeout = visibility_timeout
        self.receipt_handle = str(uuid.uuid4())
        self.received_at = time.time()
        self.deleted = False

    def is_visible(self):
     …
14 0 Open
Reliability & rate limiting easy

How to Implement a Dead Letter Queue Replay in Python

A mock Dead Letter Queue that stores failed messages with retry attempts and replays them with a simple retry counter.

dead-letter-queue queue retry
Python
import json
from collections import deque

class DeadLetterQueue:
    def __init__(self):
        self.messages = deque()
    
    def add_message(self, message_id, payload, attempts=3):
        """Add a message to the DLQ with retry metadata."""
        self.messages.append({
            "id": message_id,
           …
13 0 Open
Reliability & rate limiting medium

How to Send Messages to a Dead Letter Queue in Python

Simulates a poison message queue that retries failed messages up to a limit before moving them to a dead letter queue.

dlq message queue retries
Python
import json

class PoisonMessageQueue:
    def __init__(self, max_retries=3):
        self.dlq = []
        self.max_retries = max_retries
        self.processed_count = 0
        self.failed_count = 0

    def process_message(self, message_body):
        if "poison" in message_body:
            self.failed_count += 1…
15 0 Open
Reliability & rate limiting medium

How to Simulate an Outbox Pattern with Reliable Retry in Python

This code implements a mock outbox pattern with records, delivery attempts, and retries to simulate reliable message publishing.

outbox retry messaging
Python
import time
import itertools

class Outbox:
    def __init__(self):
        self._records = []
        self._seq = itertools.count(1)

    def publish(self, topic, payload):
        record = {
            "id": next(self._seq),
            "topic": topic,
            "payload": payload,
            "status": "pending"…
14 0 Open
Observability & SRE easy

How to Do Structured JSON Line Logging in Python

Create a simple JSON-lines logger that writes one JSON object per line to stdout with timestamp, level, message, and custom context fields.

logging json observability
Python
import json
import sys
from datetime import datetime

class JsonLineLogger:
    def __init__(self, stream=sys.stdout):
        self.stream = stream

    def log(self, level, message, **context):
        record = {
            "timestamp": datetime.utcnow().isoformat() + "Z",
            "level": level,
            "me…
15 0 Open
Observability & SRE easy

How to Do Structured JSON Logging in Python

Create a custom logging formatter that outputs each log entry as a single JSON line with timestamp, level, logger name, and message.

logging json observability
Python
import json
import logging
from datetime import datetime


class JsonFormatter(logging.Formatter):
    def format(self, record):
        log_entry = {
            "timestamp": datetime.utcnow().isoformat() + "Z",
            "level": record.levelname,
            "logger": record.name,
            "message": record.ge…
15 0 Open
Observability & SRE easy

How to Parse Log Lines with Regex in Python

Extracts timestamp, log level, service name, and message from a log line using compiled regex named groups.

regex logging parsing
Python
import re

LOG_PATTERN = re.compile(
    r'^(?P<timestamp>\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}) '
    r'\[(?P<level>\w+)\] '
    r'\((?P<service>[^)]+)\) '
    r'(?P<message>.*)$'
)

def parse_log_line(line: str) -> dict:
    match = LOG_PATTERN.match(line)
    if not match:
        return {"error": "invalid log format…
14 0 Open
Observability & SRE easy

How to Redact Secrets from Log Messages in Python

Build a lightweight RedactingFormatter class that replaces sensitive tokens like passwords and API keys with [REDACTED] before log messages are printed.

redaction logging secrets
Python
class RedactingFormatter:
    def __init__(self, secrets):
        self.secrets = secrets

    def redact(self, message):
        for secret in self.secrets:
            message = message.replace(secret, "[REDACTED]")
        return message

    def format(self, record):
        message = record["message"]
        ret…
12 0 Open
Microservices patterns easy

How to Deduplicate Events in Python with SHA256 Hashing

Build an event deduplicator that identifies duplicate inbox messages using SHA256 hashes and tracks duplicate counts per event type.

deduplication event-processing hashing
Python
```python
import hashlib
import json
from collections import defaultdict


class EventDeduplicator:
    def __init__(self):
        self.seen_hashes = set()
        self.duplicate_counts = defaultdict(int)

    def process_event(self, event):
        event_key = f"{event['event_id']}:{event['timestamp']}"
        even…
12 0 Open
Auth & security at scale medium

How to Sign and Verify with Ed25519 in Python

A minimal Ed25519 sign-and-verify helper that generates a key pair, signs a message, and checks the signature with the cryptography library.

ed25519 cryptography signing
Python
import hashlib
from cryptography.hazmat.primitives.asymmetric import ed25519
from cryptography.hazmat.primitives import serialization

def sign_verify_mock(
    message: bytes,
    private_key: ed25519.Ed25519PrivateKey,
    public_key: ed25519.Ed25519PublicKey
) -> tuple[bool, bytes]:
    signature = private_key.sign…
13 0 Open
Auth & security at scale medium

How to redact secrets from log messages in Python

This code defines a logging.Filter subclass that automatically redacts sensitive keys like password, token, and API key from any dict logged.

logging security redaction
Python
import logging
from dataclasses import dataclass


@dataclass
class ApiResponse:
    status: int
    body: dict


class SecretRedactor(logging.Filter):
    SENSITIVE_KEYS = {"password", "token", "secret", "api_key"}

    def filter(self, record: logging.LogRecord) -> bool:
        if isinstance(record.msg, dict):
    …
12 0 Open

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Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.