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How to Process System Metrics (RSS, CPU) in Python
Simulate and aggregate RSS and CPU system metrics to compute averages and maximums for monitoring dashboards.
import random
import time
from collections import namedtuple
Metric = namedtuple("Metric", ["name", "value", "unit"])
def generate_metrics(num_metrics: int = 5) -> list:
"""Simulate a batch of system metrics."""
metrics = []
for i in range(num_metrics):
rss = random.randint(50, 500) # MB
…BFF aggregation pattern: combine multiple service responses in Python
Mock three backend services and aggregate their responses into one unified payload — the BFF pattern every Python microservice gateway relies on.
from dataclasses import dataclass
from typing import Any
@dataclass
class Service:
name: str
data: dict[str, Any]
def get_user_service() -> Service:
return Service("user", {"id": 1, "name": "Alice"})
def get_orders_service() -> Service:
return Service("orders", {"total": 299.99, "count": 2})
de…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 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}…Scatter Gather Aggregate Pattern in Python
Simulates a scatter/gather/aggregate pattern by distributing work across items, gathering results, and aggregating them.
import random
def process_items(items, scatter_fn, gather_fn, aggregate_fn):
"""Simple scatter/gather/aggregate pattern simulation."""
scattered = [scatter_fn(item) for item in items]
gathered = [gather_fn(item) for item in scattered]
return aggregate_fn(gathered)
if __name__ == "__main__":
data …How to Pivot and Group Aggregate in Python
Group records by a key, collect values, and apply an aggregate function (like sum) to build a pivot-style summary dictionary.
from collections import defaultdict
def pivot_group_aggregate(records, group_key, value_key, agg_func):
groups = defaultdict(list)
for record in records:
groups[record[group_key]].append(record[value_key])
return {key: agg_func(values) for key, values in groups.items()}
if __name__ == "__main__":…How to Build a Mock Trivy Image Scan Gate in Python
Simulate a Trivy image scan and enforce a security gate that fails the pipeline when vulnerabilities meet or exceed a severity threshold.
import json
import sys
def mock_trivy_scan(image_name, severity_threshold="HIGH"):
"""Simulate a Trivy image scan result."""
mock_vulnerabilities = [
{"ID": "CVE-2023-1234", "Severity": "HIGH", "Package": "openssl", "FixedVersion": "3.0.9"},
{"ID": "CVE-2024-5678", "Severity": "CRITICAL", "Pa…How to Implement a Manual Approval Gate Mock in Python
Simulates a manual approval workflow with threshold-based rules, random decisions for medium amounts, and logs each result with timing.
import random
import time
def approve_request(amount: float) -> bool:
if amount <= 1000:
return True
if amount <= 5000:
return random.random() < 0.7
return False
def main():
requests = [500, 1200, 7500, 3000, 50]
for amount in requests:
start = time.perf_counter()
…How to simulate a Jenkins pipeline in Python
Simulate a Jenkins-style pipeline in Python by running sequential stages and checking aggregate success.
def run_stage(name, duration, fn):
print(f"[Pipeline] Running stage: {name}")
result = fn()
print(f"[Pipeline] Stage '{name}' completed in {duration}s -> {result}")
return result
def build_project():
print(" compiling source...")
return "BUILD_OK"
def run_tests():
print(" executing unit…Browse by section
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