jec-api 0.0.5a0

Beta version of JEC API

JEC-API

A powerful wrapper around FastAPI that brings class-based routing, strict method mapping, and modern developer tools to your API development.

Features

• Class-Based Routes: Group related endpoints into a single class for better organization.
• Strict Method Mapping: Methods named get, post, put, etc., are automatically mapped to HTTP verbs.
• Data Object Support: Native Pydantic integration for automatic request/response validation and schema generation.
• API Decorators: Built-in @log, @speed, and @version decorators for observability and control.
• Programmatic Configuration: Unified core.tinker() method to configure FastAPI and Uvicorn.
• JEC DevTools: Real-time, dark-themed developer console at /__dev__ for monitoring traffic and performance.

Installation

pip install jec-api

Quick Start

1. Define a Route Class

from pydantic import BaseModel
from jec_api import Route, log, speed

class UserResponse(BaseModel):
    id: int
    name: str

class Users(Route):
    @log
    @speed
    async def get(self) -> list[UserResponse]:
        """List all users with logging and speed tracking"""
        return [UserResponse(id=1, name="Alice")]

2. Configure and Run

from jec_api import Core
from routes import Users

core = Core()
core.tinker(
    title="My API",
    dev=True,      # Enable JEC DevTools
    reload=True    # Auto-reload on changes
)

core.register(Users)

if __name__ == "__main__":
    core.run(port=8000)

Usage Guide

Defining Routes

Inherit from jec_api.Route. The class name is converted to kebab-case for the base path (e.g., UserProfiles -> /user-profiles), unless overridden with the path attribute.

Method Mapping

Methods named exactly after HTTP verbs (e.g., get, post) are registered as endpoints. Others are ignored.

API Decorators

Enhance your endpoints with built-in decorators:

• @log: Logs function calls, arguments, and return values/exceptions.
• @speed: Measures execution time in milliseconds.
• @version(">=1.0.0"): Enforces semver constraints via the X-API-Version header.

Configuration (core.tinker())

The tinker() method provides a unified interface for configuration:

• FastAPI Options: title, description, version, docs_url, etc.
• Uvicorn Options: host, port, reload, log_level, etc.
• DevTools: Set dev=True to enable the developer console.
• Versioning: strict_versioning=True to require version headers on all versioned routes.

JEC DevTools

Access a premium, real-time monitoring dashboard at /__dev__ (or your custom dev_path). It provides:

• Live request/response tracking via SSE.
• Visual execution timing (Green/Yellow/Red).
• Expanded logs for @log decorated methods.
• Version check results.

License

MIT License