Cloud + Python
Cloud SDK patterns — storage, serverless handlers, secrets, and deployment helpers.
Exponential Backoff with Jitter for Cloud API Calls in Python
A Python snippet demonstrating exponential backoff with jitter for retrying transient cloud API failures, using a simulated client that has a configurable success rate.
import random
import time
def exponential_backoff_with_jitter(retries=5, base_delay=0.5, max_delay=4.0, jitter_factor=0.3):
for attempt in range(1, retries + 1):
delay = min(max_delay, base_delay * (2 ** (attempt - 1)))
jitter = delay * random.uniform(-jitter_factor, jitter_factor)
effect…
Generate a Mock Presigned URL in Python with HMAC
Build a mock AWS S3 presigned URL using an HMAC-SHA256 signature, mimicking the core SigV4 pattern without cloud SDK dependencies.
import hashlib
import hmac
import time
import base64
def generate_presigned_url_mock(secret_key, bucket, object_key, expires_in=3600):
# Build the canonical request string (simplified AWS SigV4 style)
timestamp = str(int(time.time()))
expiry = str(int(time.time()) + expires_in)
payload = f"GET\n/{buck…
Mock CDK Synth Output in Python for Template Testing
Simulate AWS CDK synth output with MagicMock to test or preview CloudFormation templates without running a real CDK app.
import json
from unittest.mock import MagicMock
def mock_cdk_synth() -> dict:
"""Simulate AWS CDK synth output for a simple S3 bucket."""
cdk_app = MagicMock()
cdk_app.synth.return_value.template = {
"Resources": {
"MyBucket": {
"Type": "AWS::S3::Bucket",
…
Mock GCP storage bucket blob upload in Python
Simulate uploading a blob to a GCP Storage bucket for testing without hitting the cloud.
import io
from datetime import datetime
from unittest.mock import MagicMock, patch
class MockBlob:
"""Simulates a GCP storage blob for unit testing."""
def __init__(self, name):
self.name = name
self.uploaded_at = None
self.content = b""
def upload_from_file(self, file_obj):
…
Mock S3, GCS, and Azure storage with a Python abstract interface
Define an abstract Storage interface and implement a local, filesystem-backed mock so S3, GCS, and Azure code can be tested without cloud dependencies.
from abc import ABC, abstractmethod
from pathlib import Path
class Storage(ABC):
@abstractmethod
def put(self, name: str, data: bytes) -> None:
pass
@abstractmethod
def get(self, name: str) -> bytes:
pass
class LocalStorage(Storage):
def __init__(self, base_dir: str = "mock_sto…
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