Create your own real-time voice assistant that detects incidents by monitoring log files and speaks out loud about issues.
You'll build a real-time incident radio for your backend that tails log files, detects important errors and warnings, and turns them into short, human-friendly summaries. It keeps a rolling memory of past issues, emphasizes the newest problems, and speaks each update aloud so you can stay focused while the system keeps watch.
Run it against any log file (for example, detector sample.log) and hear clear, periodic status reports about what's breaking and how it's evolving in real time.
Build a real-time log file watcher with tail-like behavior
Filter log entries by severity using regular expressions
Connect concurrent components with async channels
Summarize incidents with OpenAI's chat completion API
Convert text summaries to speech with OpenAI's TTS API
Play audio alerts through the system speakers with rodio
Orchestrate multiple async tasks with futures::select_all
Basic Rust syntax (structs, modules, traits)
Familiarity with async/await concepts
Understanding of basic I/O operations
Project Baseline
Command-Line Arguments
Watcher Foundation
Async Runtime
File Access and Error Handling
Line-by-Line Processing
Tail Seek Position
Continuous Polling Loop
Error Detection with Regex
Summarizer Skeleton
Watcher-to-Summarizer Channel
Summarizer Event Loop
Concurrent Task Execution
Structured Logging
Message Buffer
Buffering Incoming Messages
Graceful Shutdown
Periodic Timer
Summary Trigger
Historical Context Buffer
Chat Completion Interface
Buffer Access Layer
System Prompt
System Message Construction
User Message with Context
Chat Completion Request
OpenAI Client
Model Response Handling
Message Rotation
Sample Log File
Text-to-Speech Request
Audio Generation
Audio Player Skeleton
Audio Data Channel
Audio Receive Loop
Audio Output Stream
Audio Playback
