Introduction to `ruff`

`ruff` is a powerful and versatile tool that helps developers streamline their workflows and automate a variety of tasks with ease. This comprehensive guide introduces you to `ruff`, covering its core concepts, features, and a multitude of APIs you can leverage in your projects. We will also provide practical examples and a full-fledged app using the introduced APIs.

Getting Started with `ruff`

Before diving into the APIs, let’s set up `ruff`:

$ pip install ruff

Once installed, you can start exploring its functionalities.

Core API Examples

1. Configuration Management

Manage and customize configurations effortlessly:

import ruff

config = ruff.config.load('path/to/config/file')
config.set('key', 'value')
config.save()

2. Task Scheduling

Automate tasks using a simple scheduling API:

from ruff import scheduler

@scheduler.job(interval='daily')
def daily_task():
    print("This task runs daily")

scheduler.start()

3. File Operations

Perform robust file operations seamlessly:

import ruff.file as rfile

rfile.copy('source/file/path', 'destination/file/path')
rfile.move('source/file/path', 'destination/file/path')
rfile.delete('file/path')

4. HTTP Requests

Make HTTP requests with ease:

import ruff.http as rhttp

response = rhttp.get('https://api.example.com/data')
print(response.json())

5. Logging

Implement comprehensive logging:

import ruff.log as rlog

logger = rlog.get_logger('my_app')
logger.info('This is an info message')
logger.error('This is an error message')

Building an App with `ruff`

Let’s combine the above APIs to build a simple app:

import ruff
from ruff import scheduler, log, http, file

# Load Configuration
config = ruff.config.load('config.yml')

# Setup Logger
logger = log.get_logger('my_app')

# Define and Schedule Task
@scheduler.job(interval='hourly')
def fetch_data_task():
    url = config.get('api_endpoint')
    response = http.get(url)
    if response.status_code == 200:
        data = response.json()
        file.save_json('data.json', data)
        logger.info('Data fetched and saved successfully')
    else:
        logger.error('Failed to fetch data: ' + str(response.status_code))

# Start Scheduler
scheduler.start()

This app fetches data from a configured API endpoint every hour and stores it in a local file. It’s simple, yet a perfect example of how versatile `ruff` can be.

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