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How to Mock Service Call Timeouts in Python
Simulate service calls with configurable timeouts using Mock to patch sleep and randomness, covering success and timeout cases.
import time
from unittest.mock import Mock, patch
# Simulate a service call with configurable timeout
def call_service(service_name, timeout=5):
"""Mock a service call that may time out."""
start = time.time()
print(f"Calling {service_name}...")
# Simulate service latency (randomized for realism)…How to implement a circuit breaker in Python
A Python CircuitBreaker class that tracks failures, opens after a threshold, and retries after a timeout.
class CircuitBreaker:
def __init__(self, failure_threshold=3, timeout=5):
self.failure_threshold = failure_threshold
self.timeout = timeout
self.failure_count = 0
self.last_failure_time = None
self.state = "CLOSED"
def call(self, mock_downstream):
if self.state …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.
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…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.
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…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.
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:
…How to Mock Cron Schedule in Python
Compute the next scheduled run time for a cron expression using a pure-Python mock parser.
import re
from datetime import datetime, timedelta
class CronMock:
def __init__(self, expression):
self.expression = expression
self.minutes = self._parse_field(expression.split()[0], 0, 59)
self.hours = self._parse_field(expression.split()[1], 0, 23)
self.days = self._parse_field(…How to Create an Interrupted Time Series Mock in Python
Generate simulated interrupted time series data with a pre/post-intervention trend, level shift, and noise to test segmented regression models.
import numpy as np
# Mock interrupted time series data
np.random.seed(42)
n_pre = 50
n_post = 50
time = np.arange(0, n_pre + n_post)
# Pre-intervention: linear trend + noise
pre_trend = 0.05 * time[:n_pre] + np.random.normal(0, 0.5, n_pre)
# Post-intervention: new slope + level shift + noise
post_trend = 0.05 * tim…How to Mock Mutual Exclusion for A/B Experiment Groups in Python
Simulate mutual exclusion for experiment groups using a thread-safe lock, ensuring only one member updates the shared counter at a time.
import threading
import time
import random
class CountingGate:
"""A mock mutual exclusion gate using a lock."""
def __init__(self):
self.counter = 0
self.lock = threading.Lock()
def enter(self, group_id, member_id):
with self.lock:
current = self.counter
t…How to Mock Time for Cache TTL Testing in Python
This code demonstrates how to test a cache's TTL expiration logic by mocking time.time with unittest.mock to control the passage of time.
import time
from unittest.mock import patch
class ConfigCache:
def __init__(self, ttl=60):
self.ttl = ttl
self._store = {}
self._timestamps = {}
def get(self, key):
if key not in self._store:
return None
if time.time() - self._timestamps[key] > self.ttl:
…Thompson Sampling Mock Bandit in Python
Implement a Thompson sampling multi-armed bandit to explore and exploit reward probabilities across multiple options, updating Beta distributions over time.
import random
class ThompsonSamplingBandit:
def __init__(self, num_arms, alpha=1.0, beta=1.0):
self.num_arms = num_arms
self.alpha = [alpha] * num_arms
self.beta = [beta] * num_arms
def select_arm(self):
samples = [random.betavariate(a, b) for a, b in zip(self.alpha, self.beta…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.
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
…How to Hash Passwords and Authenticate Users in Python
A beginner-friendly dataclass-based design that hashes passwords with PBKDF2 and verifies them securely using constant-time comparisons.
import hashlib
import hmac
import secrets
from dataclasses import dataclass
from typing import Optional
@dataclass
class User:
id: int
username: str
password_hash: str
salt: str
def hash_password(password: str) -> tuple[str, str]:
salt = secrets.token_hex(16)
password_hash = hashlib.pbkdf2_…How to Tune scrypt Parameters in Python
Adjust scrypt work factor (N) to hit a target hashing time with a mock benchmark loop, then return tunable parameters and a derived key.
import hashlib
def tune_scrypt_params(target_time=0.1, base_n=2**14, base_r=8, base_p=1):
"""Mock tuning of scrypt params based on target time."""
n, r, p = base_n, base_r, base_p
iterations = 0
for _ in range(5): # simple mock adjustment loop
iterations += 1
mock_time = 0.05 + (…Zero Downtime Migration with Dual Write Pattern in Python
Implement a dual-write pattern that writes user data to both legacy and new systems simultaneously to enable zero-downtime migration.
from datetime import datetime
import json
class UserService:
def __init__(self):
self.legacy_db = {}
self.new_db = {}
self.migration_log = []
def write_user(self, user_id, name, email):
# Write to new system first
user_record = {
"id": user_id,
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