PyBerry Technical Documentation

Welcome to the PyBerry technical documentation. PyBerry is an experimental, ultra-high-performance web framework built specifically for that missing speed of Cython in popular Python web frameworks.

By combining the Rust Server Gateway Interface (RSGI) via Granian, Cython Ahead-Of-Time (AOT) compilation, and a custom C-based Radix Tree Router, PyBerry regularly exceeds 30,000 Requests/sec on a single worker process locally, sometimes more.

Key Features

• Ultra-Fast Performance: Built on top of the Granian server utilizing the RSGI interface and uvloop, providing unmatched speed and concurrency, achieving a modest 30,000+ RPS with a single worker.
• Cython-Optimized Core: Almost the entire core engine (routing, request/response handling, validation, and security) is written in Cython (.pyx), compiling down to C-extensions for zero-overhead execution.
• Built-in Security: Good security configured out-of-the-box, including CORS, Host Header Validation, automatic Security Headers (HSTS, CSP, X-Frame-Options), Rate Limiting, and Path Traversal Protection.
• Production Transpilation: Includes a built-in CLI compiler (pyberry build) that automatically transpiles your application code into Cython extensions for maximum production performance.
• Seamless Database Integration: First-class asynchronous support for libsql (Turso) with built-in schema migration tools (pyberry migrate).
• Zero-Latency Logging: Highly optimized background logger written in Cython ensuring that application telemetry doesn't impact request response times.
• Developer Friendly CLI: Includes an intuitive command-line interface with commands to bootstrap projects (pyberry create), run in hot-reloading dev mode (pyberry dev), and check system readiness (pyberry check).
• High-Speed JSON Serialization: Integrates a custom fastjson module implemented in Cython to rapidly handle JSON parsing and responses.
• Simple & Intuitive API: Lightweight decorator-based routing syntax (e.g., @get, @post) making it incredibly easy to define endpoints without boilerplate.

Out-of-the-Box Memory Safety: Beating the Rust Workflow

When architecting high-performance backend systems, developers usually face a harsh trade-off: use Python for rapid prototyping but risk 3 AM memory crashes, or use Rust for perfect memory safety but suffer through a brutal, slow development cycle fighting the "borrow checker."

PyBerry solves this by giving you the ultimate hybrid experience. It provides 100% of Rust’s memory safety with none of the daily frustration.

It achieves this through an automated ThreadSanitizer (TSan) Shield built directly into the CLI:

• Where PyBerry Beats Rust (The Playground): Instead of a compiler screaming at you about lifetime bounds while you are just trying to mock out a JSON schema or test routing logic, PyBerry lets you write pure Python. You prototype at the speed of thought, and the Python GIL keeps you safe while you experiment.
• Equivalent Safety to Rust (The Crucible): Before you can deploy, you must run the PyBerry build command. The framework dynamically injects ThreadSanitizer into your code. While Rust uses mathematical proofs to prevent threading bugs at compile-time, TSan hooks directly into the CPU to track every single memory read and write at run-time during your test suite. If a single data race exists in your high-speed C extensions, TSan catches it with absolute microscopic precision.
• Bulletproof Deployments (The Rocket): PyBerry acts as a strict gatekeeper. If your code has a threading bug, the framework refuses to let you launch it. If your code is perfectly safe—proving it has the same thread-safety guarantees as a Rust binary—PyBerry strips away the safety checks and launches your server at maximum, unthrottled speed.

Table of Contents

1. Architecture Overview
2. Command Line Interface (CLI)
3. Modular Project Design
4. Fast HTTP Responses & Exceptions
5. Database (LibSQL) Integration
6. High Performance Routing
7. Data Validation
8. Security Guide
9. Zero-Latency Logging
10. Tokio Rust Backend
11. ThreadSanitizer (TSan)
12. General Usage
13. Examples
14. The Core Runtime
15. AOT Transpiler Engine

Quick Start

# Build the application for production (transpiles and Cythonizes)
pyberry build user_app.py

# Run in production mode with Granian RSGI
pyberry run --workers 1

The Core Runtime

The core of PyBerry is written entirely in Cython (.pyx) to bypass standard Python interpreter overhead during request handling.

• pyberry.core.rsgi: The main entry point for the Granian RSGI protocol. It bridges the Rust network stack to our C-level route handlers, ensuring minimal object allocation.
• pyberry.core.router: A fully C-implemented Radix Tree (Trie) router. It can instantly match static routes with O(K) complexity (where K is the path length) and supports dynamic {parameter} injection via named regex groups for Python handlers.
• pyberry.core.future: Provides FastFuture, a lightweight awaitable wrapper that bypasses traditional asyncio.Future overhead to maximize async throughput.

AOT Transpiler Engine

PyBerry doesn't just run Python; it compiles it.

Using Python's built-in ast module (pyberry.compiler.transformer), PyBerry reads your standard Python application and injects Cython optimizations before compilation:

1. Type Mapping: Python type hints (int, str) are mapped to Cython equivalents.
2. Dataclass Optimization: Automatically injects @cython.cclass into your Pydantic/Dataclass models to convert them into C-structs.
3. Await Wrapping: Overrides the await keyword to wrap coroutines in our custom FastFuture.

The transpiled .py file is then compiled by GCC into a shared object (.so) during the pyberry build step, running your business logic as native C code.