This bot measures Maplestory servers' latency over the past 5 minutes and aggregates the average ping and standard deviation across 40 servers. It helps users monitor server performance and utilizes the information to their advantage by playing on stable channels.
| Showing Aggregated Pings Past 5 Minutes | Displaying Ping Past 5 Minutes |
|---|---|
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Technologies Used:
- Python for bot development
- PostgreSQL for data storage
- Discord API for interaction
- Git for version control
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Challenges Faced:
- Handling multiple channel pings simultaneously
- Ensuring accurate data aggregation
- Connecting with Discord API to ensure it's running
- Connecting with PostgreSQL through psycopg2 to ensure data injection properly
- Managing Discord API rate limits to avoid being banned
- Implementing robust error handling for API timeouts and database issues
- Ensuring thread safety during concurrent pings to avoid race conditions
- Managing thread lifecycle and performance, especially with many channels
- Propagating errors from threads back to the main execution flow
- Implementing timeout handling to prevent hanging threads
- Outputting images of past 5 minutes of ping data for a selected channel and displaying them through Matplotlib
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Next Step:
- Deploy the project to the cloud to ensure it runs 24/7, allowing users to access real-time ping data.
- Integrate Apache Kafka for streamlining information flow, enabling real-time data processing and messaging between components.
- Develop a web interface or dashboard for users to visualize ping statistics and access historical data.
- Implement user authentication and authorization to control access to the bot's features.
- Set up automated testing to ensure reliability and maintainability of the codebase.
- Explore additional data analytics features, such as generating reports or trends based on latency over time.
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Libraries Used
- Matplotlib
- Numpy
- Pandas
- Treading
- Tcp_latency
- Tabulate
- Postgres
- discord
- Asyncio
- OS