Spotiauto
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Hooked on Music Automation?
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Are you tired of manually updating your Spotify playlists with the latest releases from your favorite artists? Well, you’re in luck! Imagine having a tool that automatically keeps your playlists fresh and up-to-date, so you can focus on what really matters - enjoying the music! Let’s dive into the amazing world of SpotiAuto, a Python-based automation tool that’s about to revolutionize your music streaming experience!

Project Overview
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So, what is SpotiAuto? In a nutshell, it’s a game-changing script that synchronizes new tracks from your favorite artists to their dedicated playlists on Spotify. But that’s not all - it’s also incredibly easy to use and customizable, making it a must-have for any music lover! But what makes SpotiAuto truly special? Is it the fact that it’s free, open-source, and community-driven? Or is it the cutting-edge technology that powers it? Whatever the reason, one thing is clear: SpotiAuto is the perfect solution for anyone looking to take their music streaming to the next level!

Key Features
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Here are just a few of the standout features that make SpotiAuto so amazing:

Automated new release detection based on a configurable lookback period - how cool is that?
Batch processing with smart rate limiting (3 tracks per batch) to prevent overwhelming the Spotify API
Resilient error handling with an exponential backoff retry mechanism, because reliability matters
Duplicate track prevention using playlist state tracking, so you don’t have to worry about duplicates
Comprehensive logging with both file and console output, making it easy to track what’s happening
OAuth-based Spotify authentication using Spotipy, for secure and seamless authentication
Last run date tracking to optimize API calls and reduce unnecessary requests

Technical Highlights
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So, what makes SpotiAuto technically impressive? For starters, it’s built using Python, one of the most popular and versatile programming languages out there! But that’s not all - it also features:

A modular design, with separate components for Spotify API interactions (SpotifyClient) and automation workflow orchestration (PlaylistAutomation)
Rate limiting protection to prevent 429 responses and ensure smooth operation
Retry decorators with exponential backoff, for robust error handling
Batch operations for efficient playlist updates

Use Cases
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But how can you use SpotiAuto in real life? Here are a few examples:

Discover new music: Use SpotiAuto to create a playlist for your favorite artist and stay up-to-date with their latest releases!
Create a playlist for a specific genre: Want to stay current with the latest hip-hop or electronic tracks? SpotiAuto can help you do just that!
Automate your music discovery: Set up SpotiAuto to update your playlists regularly, and discover new artists and tracks without lifting a finger!

Pro Tips or Implementation Details
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So, you want to get started with SpotiAuto? Here are a few pro tips to keep in mind:

Make sure you have Python 3.6+ installed on your system
Create a Spotify Developer application and obtain your Client ID and Client Secret
Install the required dependencies, including Spotipy, PyYAML, and Tenacity
Configure your SpotiAuto settings to your liking, including the lookback period and batch size

Conclusion
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And there you have it - SpotiAuto is an amazing tool that’s sure to revolutionize your music streaming experience! With its automated new release detection, batch processing, and resilient error handling, it’s the perfect solution for anyone looking to take their music to the next level. So what are you waiting for? Check out the repo, star it, and start automating your music playlists today! Don’t miss out on this game-changing opportunity to elevate your music streaming experience!

Code Highlights
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Check out this awesome code snippet from the project:

main.py
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import logging
import logging.config
import yaml
from pathlib import Path
from spotiauto.automation import PlaylistAutomation

def setup_logging():
    Path("logs").mkdir(exist_ok=True)
    with open("config/config.yaml", 'r') as f:
        config = yaml.safe_load(f)
// ... more code ...