Reference library

Streaming & messaging

Kafka-style pub/sub, event consumers, async pipelines, and message-driven workflows.

11 matches
Streaming & messaging medium

Batch Consume Process Commit Pattern in Python

A mock batch processor that accumulates items in a queue, processes full batches, commits successful or failed results, and flushes remaining items.

streaming batch-processing queues
Python
import random
import threading
import time
from collections import deque


class MockBatchProcessor:
    def __init__(self, process_func, commit_func, batch_size=5):
        self.queue = deque()
        self.batch_size = batch_size
        self.process_func = process_func
        self.commit_func = commit_func

    de…
14 0 Open
Streaming & messaging medium

How to Aggregate Periodic Snapshot Data in Python

Generates mock snapshot data and groups values into periods to compute average aggregates with Python's standard library.

aggregation snapshots streaming
Python
import random
from collections import defaultdict

def snapshot_aggregate(n=10, period=3):
    data = defaultdict(list)
    for i in range(n):
        key = f"item_{i % period}"
        data[key].append(random.randint(1, 100))
    return dict(data)

def aggregate_periodic(snapshots, period=3):
    result = {}
    for …
14 0 Open
Streaming & messaging medium

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.

flow-control credit-window streaming
Python
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:
           …
14 0 Open
Streaming & messaging medium

How to Encode and Decode Avro Data in Python (Roundtrip)

Serialize a Python dict to Avro binary bytes and decode it back using the fastavro-compatible avro library.

avro serialization encode
Python
import io
import json
from avro.schema import parse
from avro.io import DatumWriter, DatumReader, BinaryEncoder, BinaryDecoder

def avro_roundtrip(schema_json, data):
    schema = parse(json.dumps(schema_json))
    bytes_writer = io.BytesIO()
    encoder = BinaryEncoder(bytes_writer)
    writer = DatumWriter(schema)
 …
14 0 Open
Streaming & messaging medium

How to Mock Offset Commit Auto vs Manual in Python

Demonstrates a Kafka-style offset commit function with auto/manual modes and tests it using unittest.mock.patch.

unittest mocking kafka
Python
from unittest.mock import Mock, patch

def commit_offsets(topic_partition_offsets, auto_commit=False):
    """Manually commit offsets or simulate auto-commit."""
    if auto_commit:
        print(f"Auto-committing offsets: {topic_partition_offsets}")
        return {"status": "auto_committed"}
    
    print(f"Manuall…
15 0 Open
Streaming & messaging medium

How to Mock a Kafka Producer Batch Send in Python

Simulate a Kafka producer in Python that sends batched JSON events with mock partitions and latency for testing streaming pipelines without a real broker.

kafka mock streaming
Python
import json
import random
import time
from datetime import datetime


class MockKafkaProducer:
    def __init__(self, topic):
        self.topic = topic
        self.sent_messages = []

    def send(self, value, key=None):
        message = {
            "topic": self.topic,
            "key": key,
            "value"…
13 0 Open
Streaming & messaging medium

How to Mock a Kafka Rebalance Listener in Python

Simulate Kafka consumer rebalance callbacks (on_partitions_revoked and on_partitions_assigned) with a mock consumer to test listener logic.

kafka rebalance mocking
Python
import time
from collections import defaultdict


class MockKafkaConsumer:
    def __init__(self):
        self.assignments = defaultdict(list)
        self.rebalances = 0

    def assign(self, partitions):
        self.rebalances += 1
        self.assignments.clear()
        for partition in partitions:
            s…
15 0 Open
Streaming & messaging medium

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.

streaming join generator
Python
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(
            …
14 0 Open
Streaming & messaging medium

How to Track Session Windows with Gap Timeout in Python

A Python class that groups events into sessions, closing a session when the gap between events exceeds a timeout threshold.

session-window streaming timeout
Python
import time

class SessionWindow:
    """Track sessions with a gap timeout (mock)."""
    
    def __init__(self, timeout_seconds=5):
        self.timeout = timeout_seconds
        self.session_start = None
        self.last_event_time = None
        self.event_count = 0
        self.events = []
    
    def add_event…
13 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 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

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