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API design & gRPC

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

4 matches
API design & gRPC medium

How to Build an Idempotency-Key POST Handler in Python

Python HTTP server mock that accepts POST requests and deduplicates them using an Idempotency-Key header, returning the same response for repeated calls.

http-server idempotency api-mock
Python
import hashlib
import json
from http.server import BaseHTTPRequestHandler, HTTPServer
from urllib.parse import urlparse


class MockAPI(BaseHTTPRequestHandler):
    responses = {}

    def do_POST(self):
        length = int(self.headers.get("Content-Length", 0))
        body = self.rfile.read(length).decode("utf-8")
…
14 0 Open
API design & gRPC medium

How to Filter Query Parameters by Operator in Python

Parse a URL query string and keep only parameters with allowed comparison operators like eq, gt, and lt.

query-parsing url api
Python
from urllib.parse import urlparse, parse_qs

def filter_operators(query_string, allowed=("eq", "gt", "lt")):
    parsed = urlparse(query_string)
    params = parse_qs(parsed.query)
    filtered = {}
    for key, values in params.items():
        if "__" in key:
            field, op = key.rsplit("__", 1)
            i…
12 0 Open
API design & gRPC medium

How to Mock a Webhook Subscribe Callback URL in Python

Mock a webhook subscribe callback URL using Python's http.server to receive and parse POST requests sent by webhook providers.

webhook http-server mock
Python
import json
from http.server import BaseHTTPRequestHandler, HTTPServer

class WebhookHandler(BaseHTTPRequestHandler):
    def do_POST(self):
        content_length = int(self.headers.get('Content-Length', 0))
        payload = json.loads(self.rfile.read(content_length)) if content_length else {}
        
        print…
15 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

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