Automation Tools/ Client work
PlayStorm Music Bot
The Music Bot is the soul of the PlayStorm gaming sessions. By leveraging Lavalink, it provides high-fidelity audio without putting a heavy load on the main bot process, supporting hundreds of concurrent listeners with custom filters like Bass Boost.
Project typeClient delivery
StatusCompleted project
FocusAutomation Tools
Technology
Pythondiscord.pyLavalinkDocker
System approach
- Audio Engine: Lavalink server for high-performance audio processing.
- Controller: Python-based discord.py client managing the queue.
- Deployment: Docker Compose to manage both the bot and Lavalink containers.
Challenges
- Eliminating audio stuttering during high-latency network periods.
- Managing a complex queue system across multiple voice channels.
- Implementing real-time audio filters without lag.
Solutions
- Used Lavalink's native audio-caching to buffer music effectively.
- Built a state-driven queue manager that persists data in a Redis cache.
- Utilized Lavalink's native audio filter API to perform heavy calculations off-thread.
Key outcomes
01
High-fidelity audio streaming
02
Custom audio filters
03
Lavalink integration