Next-Gen Log Viewer

Overview

Next-Gen Log Viewer is a powerful, user-friendly desktop application designed to simplify log analysis for engineers. Built with Scala, it transforms raw log files into a structured, easy-to-read format, significantly improving debugging efficiency.

Features

• Log Parsing & Structuring: Automatically extracts key components (timestamp, log level, source, message body) from raw logs.
• Advanced Filtering & Search:
  • Filter by log level (INFO, WARN, ERROR, DEBUG, etc.).
  • Keyword search for quickly locating relevant logs.
  • Sort logs by timestamp.
• User-Friendly UI:
  • Logs displayed in a structured table format.
  • Color-coded log levels for better visibility.
  • Expandable log details for in-depth analysis.
• File Support:
  • Open and parse log files (.log, .txt).
  • Auto-detects log patterns and formats.

Installation

MacOS Application Download

For macOS users, you can download the prebuilt .dmg file:

Download "Log Viewer-1.0.dmg"

If macOS blocks you from opening the application, you can go to the Privacy & Security settings and click "Open Anyway" to bypass the warning. Alternatively, if you prefer not to change the privacy settings, you can build the executable locally using the command below.

Running the Application (Development Mode)

Ensure you have the following installed before proceeding:

• JDK 11 or later
• Scala & SBT installed

# To run the application from the source code, use:
sbt run

Build an Application Executable

# To generate a standalone JAR file:
sbt assembly
# To package the application as a macOS .dmg, Windows .msi, or Linux .deb:
jpackage --name "Log Viewer" \
         --input target/scala-2.13/ \
         --main-jar Log-Viewer-assembly-0.1-SNAPSHOT.jar \
         --main-class sun.scalafx.LogViewerApp \
         --type dmg  # Use "msi" for Windows, "deb" for Linux

How to Use

1. Open a Log File: Click the "Open Log File" button and select a log file.
2. View Logs: Logs will be displayed in a structured table format.
3. Filter & Search: Use the dropdown to filter logs by level or search for keywords.
4. View Details: Click on a log entry to see detailed information.

Supported Log Pattern

The tool supports logs formatted with the following pattern:

• Timestamp: YYYY/MM/DD HH:MM:SS
• Log Level: e.g., INFO, ERROR, WARN
• Source Name: Alphanumeric with possible special characters ($, -, :)
• Optional Class Name
• Optional Context Information
• Message: The actual log message

Example Log Lines:

2025/02/25 06:28:24 WARN ExampleLogger$ SomeClass.scala:144 : Failed to connect to database server.
2025/02/25 06:32:20 INFO ExampleFactory$ [traceId=abcd1234 thread=worker-2]: Cache disabled for maintenance.

Contribution

We welcome contributions! Feel free to open an issue or submit a pull request.

License

Copyright (c) 2025 littlegrasscao