7 posts tagged with "flask"

If you print 1,000 posters with a QR code and the website URL changes next week, a "Static" QR code becomes a pile of wasted paper. The solution is a Dynamic QR code.

Instead of encoding your final destination (like myshop.com/promo-january), you encode a "Short URL" that you control (like myqr.link/offer). When a user scans it, your server looks up where offer should go today and redirects them instantly.

If your deployment environment doesn't support a service mesh like Envoy or an external authorization server (common in simpler, monolithic, or traditional hosting setups), you can certainly move the Casbin authorization check into your Flask application using middleware or decorators.

This approach centralizes authorization logic within the Python code, relying on dedicated extensions like flask-authz or Flask-Casbin.

Using SQLite as the database adapter for Casbin policy storage is the ideal solution for local development, unit testing, and small-scale applications due to its lightweight, file-based nature.

In the Python Casbin ecosystem, this is achieved using the casbin-sqlalchemy-adapter, as SQLAlchemy natively supports SQLite without needing separate driver installations [2].

1. The Casbin Sidecar Pattern​

A sidecar is a helper container that runs alongside your main application container (the Flask app) inside the same Kubernetes Pod [4]. The sidecar, in this case, is the Envoy Proxy, which intercepts all incoming and outgoing traffic for your Flask application.

Measuring how long your Python code takes to run is a critical skill for performance optimization, benchmarking, and identifying bottlenecks in production applications. Depending on whether you are analyzing a single micro-operation, profiling a complex function, or tracking HTTP request-response lifecycles, Python offers a wide variety of tools.

This guide provides a comprehensive breakdown of how to measure execution time in vanilla Python, followed by specialized implementations for the three major web frameworks: FastAPI, Flask, and Django.

Supabase is a popular PostgreSQL-based BaaS (Backend-as-a-Service). Because it runs on a standard PostgreSQL database, you can connect to it using traditional database drivers (like psycopg2 or SQLAlchemy) or leverage its built-in REST API using client SDKs.

This guide provides a comprehensive walkthrough for integrating Supabase into your Python web applications, detailing implementations for FastAPI, Flask, and Django.

Pydantic is widely known for its powerful data validation and parsing capabilities using Python type hints. While it's most popular with FastAPI, it can be elegantly integrated with Flask to improve request validation, input parsing, and response formatting.

This article outlines best practices for combining Flask with Pydantic in a clean, maintainable way.