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Chaos Inject Random Failures in Python
Simulate random failures in a Python function to test error handling and resilience, using random thresholds and controllable success rates.
import random
def unreliable_function(success_rate: float = 0.7) -> str:
"""Simulate a function that sometimes fails."""
if random.random() > success_rate:
raise ConnectionError("Simulated network failure")
return "Operation completed successfully"
if __name__ == "__main__":
random.seed(42)…How to Inject Random Latency for Chaos Testing in Python
Mock unreliable services by wrapping functions with a decorator that adds random network-like delays before execution.
import random
import time
from functools import wraps
def inject_latency(func):
@wraps(func)
def wrapper(*args, **kwargs):
latency = random.uniform(0.1, 0.5)
print(f"Injecting {latency:.3f}s latency...")
time.sleep(latency)
return func(*args, **kwargs)
return wrapper
@inje…How to Mock Fault Injection Percentage in Python
Simulate a service with a 30% failure rate using random.random to test error handling and retries.
import random
class Service:
def call(self):
if random.random() < 0.3: # 30% failure rate
raise ConnectionError("Simulated network fault")
return "ok"
def main():
svc = Service()
random.seed(42) # deterministic for demonstration
results = []
for _ in range(10):
…How to Mock a Slow Startup Probe in Python
Simulate slow service initialization with a configurable mock delay to test readiness probes.
import time
from dataclasses import dataclass, field
@dataclass
class StartupProbe:
name: str
min_wait_sec: float = 0.5
max_wait_sec: float = 2.0
_ready: bool = field(default=False, init=False, repr=False)
def initialize(self) -> None:
"""Simulate slow startup with a fixed mock delay."""…How to Mock a Timeout per HTTP Request in Python
Simulate a per-request HTTP timeout using unittest.mock to test timeout handling without network access.
import time
from unittest.mock import Mock, patch
# Simulate an HTTP client that might time out
def fetch_data(url, timeout=5):
time.sleep(0.5) # Simulate network delay
return f"Response from {url}"
# Mock to test timeout behavior without real network
def test_timeout():
mock_response = Mock(side_effect…How to mock a fallback return value in Python
Test a function that returns a default value on failure by mocking requests.get and its side effects.
from unittest.mock import Mock, patch
import requests
def fetch_data(url, default=None):
try:
response = requests.get(url)
response.raise_for_status()
return response.json()
except (requests.RequestException, ValueError):
return default
with patch("requests.get") as mock_get:
…Generate Mock CPU and Memory Metrics in Python
Build a mock_host_metrics() generator that outputs realistic CPU and memory usage percentages for monitoring demos and tests.
import time
import random
def mock_host_metrics():
"""Generate mock CPU and memory metrics for a host."""
cpu_percent = round(random.uniform(10.0, 95.0), 1)
memory_percent = round(random.uniform(20.0, 90.0), 1)
memory_used_mb = round(random.uniform(512, 8192), 1)
return {
"timestamp": in…Generate Synthetic CPU Utilization Metrics in Python
Creates realistic time-series CPU utilization samples with timestamps, noise, and output as structured JSON for observability demos and testing.
from datetime import datetime, timedelta
import random
import json
def generate_metric_samples(base_value, noise, count=60, interval_minutes=1):
"""Generate realistic CPU utilization samples for a given time window."""
timestamps = []
values = []
now = datetime.utcnow()
start_time = now - timede…How to Mock Database Query Duration in Python
Simulate realistic database query durations with random jitter for testing dashboards, alerts, and SLO calculations.
import random
import time
def mock_query_duration(db_name, avg_ms, jitter_ms=5, runs=3):
"""Simulate database query durations with realistic variation."""
durations = []
for _ in range(runs):
# Base duration plus random jitter (can be negative)
duration = avg_ms + random.uniform(-jitter_m…How to Mock HTTP Client Latency in Python
Simulate outbound HTTP request latency with configurable ranges to test timeouts, retries, and SLO monitoring without external services.
import time
import random
def mock_latency(host: str, min_ms: int = 100, max_ms: int = 500) -> dict:
"""Simulate an outbound HTTP request with mock latency."""
latency_ms = random.randint(min_ms, max_ms)
start = time.perf_counter()
time.sleep(latency_ms / 1000)
elapsed_ms = (time.perf_counter() - …How to Mock Service Resource Attributes in Python
Temporarily override service name, version, and other resource attributes with a context manager, then restore them automatically.
from contextlib import contextmanager
import random
_SERVICE_ATTRIBUTES = {
"service.name": "payment-api",
"service.version": "1.4.2",
"service.instance.id": str(random.randint(10000, 99999)),
"service.namespace": "production",
}
@contextmanager
def mock_service_attributes(**overrides):
"""Tempor…How to Mock a Baggage Context (Key-Value Store) in Python
This code implements an in-memory key-value mock of a baggage context, letting you set, get, check, and delete keys for tracing-style metadata.
class BaggageContext:
def __init__(self):
self._store = {}
def set(self, key, value):
self._store[key] = value
return value
def get(self, key, default=None):
return self._store.get(key, default)
def has(self, key):
return key in self._store
def delete(sel…How to Simulate a Queue Depth Gauge in Python
Simulate a queue depth over time using a random enqueue/dequeue process, returning depth values that can be used for monitoring or testing dashboards.
import collections
import random
import time
def simulate_queue_depth(max_depth=10, steps=20):
queue = collections.deque()
depth_history = []
for _ in range(steps):
# Randomly enqueue or dequeue
if random.random() < 0.6 and len(queue) < max_depth:
queue.append("task")
…Mocking a Metrics Gauge's set_value Method in Python
Demonstrates using unittest.mock.Mock with wraps to intercept a gauge's set_value call while verifying arguments and preserving real behavior.
from unittest.mock import Mock
class MetricsGauge:
def __init__(self, name):
self.name = name
self.value = 0.0
def set_value(self, new_value):
self.value = float(new_value)
return self.value
# Usage demonstration with a mock
gauge = MetricsGauge("cpu_usage")
gauge_mock = Mock…Correlation ID HTTP header mock in Python
A lightweight HTTP server that echoes or generates correlation IDs to help test distributed systems.
import json
import uuid
from http.server import BaseHTTPRequestHandler, HTTPServer
class CorrelationHandler(BaseHTTPRequestHandler):
CORRELATION_HEADER = "X-Correlation-ID"
def do_GET(self):
correlation_id = self.headers.get(self.CORRELATION_HEADER) or str(uuid.uuid4())
response = {
…How to Check an External Gateway vs Use an Internal Mock in Python
This code checks whether an external network gateway is reachable using ping, then falls back to a deterministic internal mock for testing environments.
import subprocess
import sys
def check_external_gateway():
"""True if we can reach an external network target."""
try:
subprocess.run(
["ping", "-c", "1", "-W", "2", "8.8.8.8"],
capture_output=True,
timeout=3,
check=True,
)
return True
…How to Mock a Schema Registry Avro Record in Python
Encode a Python dict into Avro binary using an inline schema, mimicking a schema registry record for tests or mocks.
import io
from avro.schema import parse
from avro.io import DatumWriter, BinaryEncoder
schema_json = """
{
"type": "record",
"name": "User",
"fields": [
{"name": "name", "type": "string"},
{"name": "age", "type": "int"},
{"name": "email", "type": ["null", "string"], "default": null}
]
}
"""
schem…How to Mock an API Gateway Router in Python
Create a lightweight HTTP server that routes requests to mock microservice responses, simulating an API gateway for local development and testing.
from http.server import HTTPServer, BaseHTTPRequestHandler
import json
class SimpleGateway(BaseHTTPRequestHandler):
def do_GET(self):
routes = {
"/users": {"service": "user-service", "status": "ok", "count": 42},
"/orders": {"service": "order-service", "status": "ok", "count": 17}…How to Mock an Ambassador Edge Proxy in Python
Build a lightweight mock Ambassador edge proxy with Python's http.server that responds to health and user endpoint requests for local development and testing.
import http.server
import json
import urllib.parse
import threading
class AmbassadorProxyHandler(http.server.BaseHTTPRequestHandler):
def do_GET(self):
parsed = urllib.parse.urlparse(self.path)
if parsed.path == "/health":
self.send_response(200)
self.send_header("Content-T…How to mock an external service in Python with an anti-corruption facade
This code implements an anti-corruption facade that mocks an external API, allowing client code to interact with a simulated service while keeping the same interface.
class AntiCorruptionFacade:
"""Mocks a real API while keeping the same interface."""
def __init__(self, data_store):
self._data_store = data_store
self._calls = []
def get_user(self, user_id):
self._calls.append(f"get_user({user_id})")
return self._data_store.get(u…How to Create a Mock Kafka Producer in Python
Build a Kafka producer that generates mock streaming records with JSON serialization and error handling for local testing.
import json
import time
from kafka import KafkaProducer
from kafka.errors import KafkaError
def create_mock_producer(bootstrap_servers="localhost:9092", topic="input-topic"):
"""Create a Kafka producer that generates mock streaming data."""
producer = KafkaProducer(
bootstrap_servers=bootstrap_servers…How to Mock Hive Support in PySpark with unittest.mock
This code demonstrates how to mock Hive support in a PySpark environment using unittest.mock to simulate SQL queries returning fixed data.
from unittest.mock import Mock, patch
def get_hive_tables(spark):
"""Mock Hive support by returning a fixed list of tables."""
return spark.sql("SHOW TABLES").collect()
class HiveTable:
"""Simple class that mimics a Hive table row."""
def __init__(self, database, tableName):
self.database =…How to Mock a Socket Stream in Python
Simulate a streaming socket source with a generator to test stream-read and buffering logic without a real network.
import socket
import threading
import time
def mock_socket_stream(data_chunks, delay=0.1):
"""Generator that simulates a streaming socket source."""
for chunk in data_chunks:
time.sleep(delay)
yield chunk
def read_stream_socket(stream_gen):
"""Reads from mock stream and prints received ch…How to Mock a User-Defined Function (UDF) in Python
Wrap a real UDF implementation with call logging to simulate and track invocations in a data pipeline.
from typing import Any, Callable
# Mock a user-defined function (UDF) that was previously complex or external
def mock_udf(name: str, implementation: Callable[..., Any], *, calls: list[Any]) -> Callable[..., Any]:
"""Wrap a real implementation with call logging to simulate a UDF."""
def wrapper(*args: Any, *…Browse by section
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