Converting Python Video Editing Scripts to Rust | Glowing Telegram Project - Episode 185
In this video, I share an in-depth coding session where I work on the Glowing Telegram project, specifically focusing on converting a Python-based video editing script into a Rust equivalent. Along the way, I cover various technical challenges, discuss optimization techniques, and explore the tools and features of Rust for building video processing pipelines.
Here’s what I cover in this video:
*Project Status Update:* I outline recent progress on automated video ingestion, including transcription, keyframe extraction, and video transcoding for app integration.
*Python to Rust Conversion:* I demonstrate my experimental process to convert a Python script for FFmpeg command generation into Rust using GitHub Copilot. I share insights about the strengths and limitations of AI-assisted programming, as well as key differences between Python and Rust in handling such tasks.
*Custom Video Processing in Rust:* I delve into building a robust function to produce FFmpeg commands for video cutting, splicing, and adding overlays and transitions. I also discuss the importance of parameterizing certain aspects of the code, like resolution and frame rates, for scalability.
*Testing and Debugging:* I demonstrate how to set up basic unit tests for command generation and share best practices for debugging Rust code.
*Batch Job Design:* I explain my approach for creating a batch job process in AWS Fargate that handles video edits, uploads results to S3, and updates database records via DynamoDB. I also touch on the necessity of clean code practices, automation, and task management for scalable systems.
*Future Projections:* We look ahead at tying together UI components and background tasks, refining the integration points, and addressing potential optimizations in both Rust and the broader system.
Throughout the stream, you’ll also find moments of coding challenges, interesting discussions about programming paradigms, and explorations of game ideas during my breaks—because coding is fun, but so is thinking about new projects like Thrive!
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GitHub: https://github.com/saebyn
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