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API design & gRPC

REST best practices, protobuf, API versioning, and backward-compatible service contracts.

4 matches
API design & gRPC easy

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.

validation data api
Python
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…
13 0 Open
API design & gRPC easy

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.

jwt authentication security
Python
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"]},
         …
12 0 Open
API design & gRPC medium

How to Validate Request Body JSON Against a Schema in Python

Build a lightweight schema validator to check required fields, types, string lengths, allowed values, and nested objects in a JSON request body.

api-validation json schema-validation
Python
import json


def validate_against_schema(data, schema, path=""):
    errors = []

    if not isinstance(data, dict):
        errors.append(f"{path}: expected object, got {type(data).__name__}")
        return errors

    for field, rules in schema.items():
        field_path = f"{path}.{field}" if path else field

  …
15 0 Open
API design & gRPC easy

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.

sorting dataclasses api
Python
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…
11 0 Open

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