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Route Messages to Handlers with a Python Dict
This code demonstrates a simple message routing pattern using a dictionary to map topic keys to handler functions, with a default handler for unmatched topics.
def route_message(message, routing_table):
"""Route a message to the correct handler based on the topic key."""
topic = message.get("topic", "default")
handler = routing_table.get(topic, routing_table.get("default"))
return handler(message)
def handle_orders(message):
return f"Orders handler proc…
Convert Protobuf to JSON and Dict in Python
Provides static helper methods to convert between protobuf messages, JSON strings, and Python dictionaries using the google.protobuf library.
from google.protobuf.json_format import MessageToJson, Parse
import json
class DataConverter:
"""Helper class to convert between protobuf messages and common formats."""
@staticmethod
def to_json(message, indent=2):
"""Convert a protobuf message to JSON string."""
return MessageToJson(me…
Format data in Python using dataclasses like gRPC messages
Convert Python dataclasses to and from dicts and format them gRPC-style for clean data handling.
from dataclasses import dataclass
from typing import Any, Dict, List, Optional
@dataclass
class ProductInfo:
"""Data class representing a gRPC-style product message."""
name: str
price: float
tags: List[str]
description: Optional[str] = None
def to_dict(self) -> Dict[str, Any]:
"""C…
How to Add a Correlation ID Tracing Header in Python
A mock middleware generates or preserves a correlation ID header and logs structured JSON messages with it for API request tracing.
import uuid
import json
from dataclasses import dataclass, field
from typing import Optional
@dataclass
class Request:
headers: dict = field(default_factory=dict)
def get(self, key, default=None):
return self.headers.get(key, default)
class CorrelationIdMiddleware:
def __init__(self, header_name…
How to Parse gRPC Request Data in Python
Build a beginner-friendly gRPC service handler that parses incoming protobuf messages into Python dictionaries and starts a simple gRPC server.
from google.protobuf import json_format
import grpc
from concurrent import futures
import time
class DataParsingService:
def parse(self, request):
return {
"received_json": json_format.MessageToJson(request),
"parsed_fields": {
"name": request.name,
…
How to Validate JWT Claims (exp, iss, aud) in Python
This code demonstrates how to decode and validate a JWT's essential claims—expiration (exp), issuer (iss), and audience (aud)—using the PyJWT library, returning clear error messages for common validation failures.
import jwt
from datetime import datetime, timezone, timedelta
SECRET = "mock-secret"
def validate_token(token, expected_iss, expected_aud):
try:
decoded = jwt.decode(
token,
SECRET,
algorithms=["HS256"],
options={"require": ["exp", "iss", "aud"]},
…
Build a Streaming Messaging Helper in Python
Create a simple message stream class that stores recent messages, sends user messages, and retrieves history or latest messages with timestamps.
from collections import deque
from dataclasses import dataclass
from datetime import datetime
import time
@dataclass
class Message:
user: str
text: str
timestamp: str = ""
def __post_init__(self):
if not self.timestamp:
self.timestamp = datetime.now().strftime("%H:%M:%S")
class…
Dead Letter Queue Failed Messages List Mock in Python
Implements a simple in-memory dead letter queue to collect, list, and retry failed messages, with JSON serialization for inspection in streaming pipelines.
import json
from collections import deque
class Message:
def __init__(self, message_id, payload, attempts=0):
self.message_id = message_id
self.payload = payload
self.attempts = attempts
def __repr__(self):
return f"Message(id={self.message_id}, attempts={self.attempts})"
c…
Dedupe processed message IDs in Python
Filters an inbox of messages by removing items whose IDs have already been processed, using a set for fast lookups.
from pathlib import Path
import json
def dedupe_processed_ids(inbox_file: Path, processed_file: Path) -> list:
processed = set(json.loads(processed_file.read_text()))
inbox = json.loads(inbox_file.read_text())
deduped = [item for item in inbox if item["id"] not in processed]
return deduped
if __nam…
Exactly Once Idempotent Consumer Store in Python
A mock key-value store that guarantees exactly-once processing by rejecting duplicate message keys in a message or event stream.
from collections import defaultdict
class ExactlyOnceStore:
def __init__(self):
self.processed = defaultdict(set)
self.data = {}
def consume(self, key, value):
if key in self.data:
return False
self.data[key] = value
return True
def get_processed_count…
How to Build a Flow Control Credit Window in Python
A Python class that reserves, confirms, releases, and settles credit to limit message flow and prevent overload in streaming pipelines.
class CreditWindow:
def __init__(self, max_credit=1000):
self.max_credit = max_credit
self.used_credit = 0
self.pending_credit = 0
def try_reserve(self, amount):
available = self.max_credit - self.used_credit - self.pending_credit
if available >= amount:
…
How to Build a Message Stream Queue in Python
A beginner-friendly MessageStream class built on deque that sends messages one at a time, tracks unread counts, and records sent items.
from collections import deque
import time
class MessageStream:
def __init__(self, messages):
self._queue = deque(messages)
self._sent = []
def send_next(self):
if not self._queue:
return None
message = self._queue.popleft()
self._sent.append(message)
…
How to Implement At-Least-Once Delivery with Acknowledgment in Python
This code demonstrates a mock message broker with at-least-once delivery, including retry logic and acknowledgment after successful processing.
import time
import uuid
from collections import deque
class MockMessageBroker:
def __init__(self):
self.queue = deque()
self.acked = set()
def publish(self, payload: str) -> str:
msg_id = str(uuid.uuid4())
self.queue.append((msg_id, payload))
return msg_id
def po…
How to Implement Publish-Subscribe Fanout with Multiple Subscribers in Python
Create a simple publish-subscribe system in Python that broadcasts messages to multiple subscriber callbacks for a given topic.
import time
class PubSub:
def __init__(self):
self.subscribers = {}
def subscribe(self, topic, callback):
if topic not in self.subscribers:
self.subscribers[topic] = []
self.subscribers[topic].append(callback)
def publish(self, topic, message):
if topic in sel…
How to Implement a Priority Queue for Messages in Python
Build a message priority queue with heapq and dataclasses that pops messages by priority, using sequence numbers to keep insertion order.
import heapq
from dataclasses import dataclass, field
from typing import Any
@dataclass(order=True)
class Message:
priority: int
sequence: int = field(compare=False)
content: str = field(compare=False)
class PriorityQueue:
def __init__(self):
self._heap = []
def push(self, priority: int,…
How to Implement an In-Memory Pub/Sub System in Python
This code implements a simple in-memory publish/subscribe system in Python, allowing topics, callbacks, and message broadcasting.
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)
return lambda: self.unsubscribe(topic, callback)
def unsubscribe(self, topic, callb…
How to Implement an Outbox Table Poll Publisher in Python
This code simulates an outbox pattern with a class that polls for pending records and publishes them as JSON messages, removing only those that are due.
import time
import json
from dataclasses import dataclass, asdict
from datetime import datetime, timedelta
@dataclass
class OutboxRecord:
id: int
topic: str
payload: dict
created_at: datetime
class OutboxPollPublisher:
def __init__(self, poll_interval_seconds=1):
self.poll_interval = poll…
How to Mock Kafka Topic Partitions with a Python dict of lists
Mocks a Kafka topic and its partitions using a defaultdict of lists to simulate message production, consumption, and per-partition counts.
from collections import defaultdict
class KafkaTopicPartitionMock:
"""A simple mock for Kafka topic-partition assignment using dict of lists."""
def __init__(self, topic):
self.topic = topic
self.partitions = defaultdict(list) # partition_id -> list of messages
def produce(self, message…
How to Mock MQTT Topic Subscriptions with QoS in Python
Build a lightweight MQTT client mock that tracks topic subscriptions with QoS levels and simulates wildcard message delivery.
import time
from collections import defaultdict
class MockMQTTClient:
def __init__(self):
self.subscriptions = defaultdict(list)
self.messages = []
def subscribe(self, topic, qos=0):
self.subscriptions[topic].append(qos)
print(f"Subscribed to '{topic}' with QoS {qos}")
…
How to Mock RabbitMQ Ack Nack Requeue in Python
A mock RabbitMQ channel and consumer that simulates ack, nack, and requeue handling for testing message processing logic without a broker.
import json
from collections import deque
class MockChannel:
def __init__(self):
self.acked = []
self.nacked = []
self.requeued = []
def basic_ack(self, delivery_tag):
self.acked.append(delivery_tag)
def basic_nack(self, delivery_tag, requeue=False):
self.nacked.…
How to Partition and Order Kafka-Style Messages by Key in Python
Group messages with the same key into ordered buckets using hashing and a defaultdict, mimicking Kafka partition ordering.
from dataclasses import dataclass
from collections import defaultdict
@dataclass
class Message:
key: str
content: str
def partition_and_order(messages, num_partitions=3):
partitions = defaultdict(list)
for msg in messages:
partition_id = hash(msg.key) % num_partitions
partitions[parti…
How to Read Redis Streams with XREADGROUP in Python
Read new messages from a Redis stream using a consumer group with XREADGROUP, handling JSON payloads and group creation.
import redis
import json
def read_group_messages(stream_key, group_name, consumer_name, count=10):
r = redis.Redis(host="localhost", port=6379, decode_responses=True)
try:
r.xgroup_create(stream_key, group_name, id="0", mkstream=True)
except redis.exceptions.ResponseError:
pass
messag…
How to Stream Join Windowed Mock Topics in Python
Simulates two message topics and joins their events when timestamps fall within a sliding time window using Python generators and deques.
import itertools
import random
import time
from collections import deque
from dataclasses import dataclass, field
@dataclass
class Event:
key: str
value: int
timestamp: float = field(default_factory=time.time)
def generate_topic(prefix, keys, start_time):
while True:
yield Event(
…
How to Wrap Message Attributes in a CloudEvent with Python
Create a minimal CloudEvent dataclass that wraps arbitrary message attributes into a JSON envelope, matching CloudEvents 1.0 spec.
import json
from dataclasses import dataclass, field, asdict
from typing import Any, Dict
from datetime import datetime, timezone
@dataclass
class CloudEvent:
message_attributes: Dict[str, Any] = field(default_factory=dict)
def wrap(self, event_id: str, source: str, event_type: str, data: Any):
self…
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