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How to Propagate X-Request-ID in Python
Generate a unique request ID when one is missing and pass it through API calls for distributed tracing.
import uuid
def generate_request_id() -> str:
"""Generate a unique request ID similar to X-Request-ID header."""
return str(uuid.uuid4())
def propagate_request_id(request_id: str | None) -> str:
"""Return the request ID for propagation, generating one if missing."""
if request_id:
return re…How to Serialize a Dataclass to JSON in Python
Serialize a Python dataclass instance to JSON using asdict and json.dumps for API responses or mocks.
from dataclasses import dataclass, asdict
import json
@dataclass
class UserResponse:
id: int
name: str
email: str
active: bool = True
if __name__ == "__main__":
response = UserResponse(id=42, name="Ada Lovelace", email="ada@example.com")
print(json.dumps(asdict(response), indent=2))How to Validate Data in Python for Beginners
A beginner-friendly Python class for validating required fields, types, ranges, and allowed choices in dict payloads.
import json
from typing import Any, Dict, List, Optional, Union
class Validator:
"""A simple validate data helper designed for beginners."""
def __init__(self, data: Union[Dict[str, Any], List[Any]]):
self.data = data
self.errors: Dict[str, str] = {}
def validate_required(self, field: s…How to Validate JWT Claims (exp, iss, aud) in Python
This code demonstrates how to decode and validate a JWT's essential claims—expiration (exp), issuer (iss), and audience (aud)—using the PyJWT library, returning clear error messages for common validation failures.
import jwt
from datetime import datetime, timezone, timedelta
SECRET = "mock-secret"
def validate_token(token, expected_iss, expected_aud):
try:
decoded = jwt.decode(
token,
SECRET,
algorithms=["HS256"],
options={"require": ["exp", "iss", "aud"]},
…How to Validate a JWT Signature in Python with a Mock Secret
Validates a JWT's signature using a mock secret, decoding and handling expired or invalid tokens gracefully.
import jwt
import time
SECRET = "mock_secret_key_123"
def validate_token(token):
try:
payload = jwt.decode(token, SECRET, algorithms=["HS256"])
return f"Valid token. Payload: {payload}"
except jwt.ExpiredSignatureError:
return "Token expired"
except jwt.InvalidTokenError:
…How to handle CORS preflight OPTIONS requests in Python
Create a mock HTTP server with a CORS preflight OPTIONS handler that returns the correct headers for browser-based API requests.
from http.server import BaseHTTPRequestHandler, HTTPServer
class CORSRequestHandler(BaseHTTPRequestHandler):
def _send_cors_headers(self):
self.send_header("Access-Control-Allow-Origin", "*")
self.send_header("Access-Control-Allow-Methods", "GET, POST, PUT, DELETE, OPTIONS")
self.send_head…How to mock a REST POST endpoint in Python
Create a simple mock REST server that responds to POST requests with a 201 status and a JSON body.
import json
from http.server import BaseHTTPRequestHandler, HTTPServer
class MockHandler(BaseHTTPRequestHandler):
def do_POST(self):
content_length = int(self.headers.get("Content-Length", 0))
body = self.rfile.read(content_length) if content_length else b"{}"
try:
data = json…Return Proper HTTP Status Codes Table in Python
Mock HTTP status code table with proper numeric and textual representations, including formatted status lines and a filtered table view.
# Mock HTTP status code table with proper numeric and textual representations
codes = {
200: "OK",
201: "Created",
204: "No Content",
301: "Moved Permanently",
302: "Found",
304: "Not Modified",
400: "Bad Request",
401: "Unauthorized",
403: "Forbidden",
404: "Not Found",
50…Scope-based authorization in Python
A simple Python class that checks user scopes against required permissions for a resource, returning an authorization decision.
class ScopeAuthorization:
def __init__(self):
self.scopes = {
"read": ["resource:read"],
"write": ["resource:read", "resource:write"],
"admin": ["resource:read", "resource:write", "resource:delete"]
}
def authorize(self, user_scopes, required_scope, resource…Sort Python list by query param order_by
Sort a list of dataclass objects dynamically by a field name passed as a query param, with asc/desc direction support.
from dataclasses import dataclass
@dataclass
class Item:
name: str
price: int
def sort_items(items, order_by, direction="asc"):
if order_by not in ("name", "price"):
raise ValueError(f"Unsupported sort field: {order_by}")
reverse = direction.lower() == "desc"
return sorted(items, key=l…At Most Once Fire-and-Forget Mock in Python
A Python mock that enforces send() is called at most once and records the arguments for verification.
class FireForgetMock:
def __init__(self):
self._calls = 0
self._last_args = None
self._last_kwargs = None
def send(self, *args, **kwargs):
if self._calls > 0:
raise RuntimeError("send() called more than once")
self._calls += 1
self._last_args = args
…Build a Streaming Messaging Helper in Python
Create a simple message stream class that stores recent messages, sends user messages, and retrieves history or latest messages with timestamps.
from collections import deque
from dataclasses import dataclass
from datetime import datetime
import time
@dataclass
class Message:
user: str
text: str
timestamp: str = ""
def __post_init__(self):
if not self.timestamp:
self.timestamp = datetime.now().strftime("%H:%M:%S")
class…Dead Letter Queue Failed Messages List Mock in Python
Implements a simple in-memory dead letter queue to collect, list, and retry failed messages, with JSON serialization for inspection in streaming pipelines.
import json
from collections import deque
class Message:
def __init__(self, message_id, payload, attempts=0):
self.message_id = message_id
self.payload = payload
self.attempts = attempts
def __repr__(self):
return f"Message(id={self.message_id}, attempts={self.attempts})"
c…Dedupe processed message IDs in Python
Filters an inbox of messages by removing items whose IDs have already been processed, using a set for fast lookups.
from pathlib import Path
import json
def dedupe_processed_ids(inbox_file: Path, processed_file: Path) -> list:
processed = set(json.loads(processed_file.read_text()))
inbox = json.loads(inbox_file.read_text())
deduped = [item for item in inbox if item["id"] not in processed]
return deduped
if __nam…Event Envelope with Schema Version Field in Python
Build a typed event envelope dataclass with an explicit schema version field for mock streaming scenarios.
from dataclasses import dataclass, field
from datetime import datetime
import uuid
@dataclass
class Event:
event_id: str = field(default_factory=lambda: str(uuid.uuid4()))
event_type: str = "user.created"
version: str = "1.0.0"
created_at: str = field(default_factory=lambda: datetime.utcnow().isoform…Event sourcing append store replay in Python
A simple in-memory event store that appends events per aggregate and replays them on demand.
import json
from collections import defaultdict
class EventStore:
def __init__(self):
self._events = defaultdict(list)
def append(self, aggregate_id, event_type, data):
event = {"type": event_type, "data": data}
self._events[aggregate_id].append(event)
def replay(self, aggregate…Exactly Once Idempotent Consumer Store in Python
A mock key-value store that guarantees exactly-once processing by rejecting duplicate message keys in a message or event stream.
from collections import defaultdict
class ExactlyOnceStore:
def __init__(self):
self.processed = defaultdict(set)
self.data = {}
def consume(self, key, value):
if key in self.data:
return False
self.data[key] = value
return True
def get_processed_count…How to Build a Materialized View Updater Consumer Mock in Python
A mock consumer that queues change events and triggers refresh callbacks to simulate materialized view updates.
import time
from collections import deque
from dataclasses import dataclass, field
from typing import Callable, Deque, Optional
@dataclass
class MaterializedViewUpdater:
"""Mock updater that consumes change events and refreshes a view."""
refresh: Optional[Callable[[str], None]] = None
queue: Deque[tuple…How to Build a Message Stream Queue in Python
A beginner-friendly MessageStream class built on deque that sends messages one at a time, tracks unread counts, and records sent items.
from collections import deque
import time
class MessageStream:
def __init__(self, messages):
self._queue = deque(messages)
self._sent = []
def send_next(self):
if not self._queue:
return None
message = self._queue.popleft()
self._sent.append(message)
…How to Build a Mock Change Data Capture Event Stream in Python
Generate a deterministic list of mock CDC events with event IDs, stream positions, payloads, and timestamps for testing streaming pipelines.
from itertools import count
from random import choice, randint, seed
from datetime import datetime, timedelta
seed(42) # Make output deterministic
event_types = ["INSERT", "UPDATE", "DELETE"]
table_names = ["users", "orders", "products", "payments"]
counter = count(1)
def mock_cdc_event(stream_index: int) -> dict:
…How to Implement Publish-Subscribe Fanout with Multiple Subscribers in Python
Create a simple publish-subscribe system in Python that broadcasts messages to multiple subscriber callbacks for a given topic.
import time
class PubSub:
def __init__(self):
self.subscribers = {}
def subscribe(self, topic, callback):
if topic not in self.subscribers:
self.subscribers[topic] = []
self.subscribers[topic].append(callback)
def publish(self, topic, message):
if topic in sel…How to Implement a Priority Queue for Messages in Python
Build a message priority queue with heapq and dataclasses that pops messages by priority, using sequence numbers to keep insertion order.
import heapq
from dataclasses import dataclass, field
from typing import Any
@dataclass(order=True)
class Message:
priority: int
sequence: int = field(compare=False)
content: str = field(compare=False)
class PriorityQueue:
def __init__(self):
self._heap = []
def push(self, priority: int,…How to Implement a Tumbling Window Counter in Python
Count events that fall within a fixed-size sliding time window using a deque and pruning logic.
from collections import deque
import time
class TumblingWindowCounter:
def __init__(self, window_size_seconds):
self.window_size = window_size_seconds
self.window = deque()
def add_event(self, timestamp):
self.window.append(timestamp)
def count(self, current_time):
while…How to Mock RabbitMQ Ack Nack Requeue in Python
A mock RabbitMQ channel and consumer that simulates ack, nack, and requeue handling for testing message processing logic without a broker.
import json
from collections import deque
class MockChannel:
def __init__(self):
self.acked = []
self.nacked = []
self.requeued = []
def basic_ack(self, delivery_tag):
self.acked.append(delivery_tag)
def basic_nack(self, delivery_tag, requeue=False):
self.nacked.…Browse by section
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