DLT Analyzer Extension

Advanced DLT (Diagnostic Log and Trace) analyzer for VS Code, providing comprehensive log analysis capabilities with MCP (Model Context Protocol) integration.

Installation & Setup Guide

Follow these simple steps to get started with DLT Analyzer:

1. Install the Extension

• Open VS Code
• Navigate to the Extensions marketplace
• Search and install DLT Analyzer extension

2. Initialize MCP Components

• Press Ctrl+Shift+P (Windows/Linux) or Cmd+Shift+P (macOS) to open Command Palette
• Type and execute: Install MCP DLT Analyzer
• This will download and configure all necessary components

3. Wait for Setup Completion

• Allow the installation process to complete
• You'll see progress notifications during setup
• The process may take a few minutes depending on your system

4. Configure MCP Integration

Create the following directory structure and configuration file in your workspace:

Step 4.1: Create .vscode folder in your workspace root
Step 4.2: Create file ./.vscode/mcp.json with the following configuration:

{
	"servers": {
		"mcp-atlassian": {
			"command": "uvx",
			"args": [
				"--with",
				"pydantic<2.12.0",
				"mcp-atlassian"
			],
			"env": {
				"JIRA_URL": "http://jira.lge.com/issue",
				"JIRA_PERSONAL_TOKEN": "your_personal_token_here",
				"JIRA_USERNAME": "your_username_here",
				"CONFLUENCE_URL": "http://collab.lge.com/main",
				"CONFLUENCE_USERNAME": "your_username_here",
				"CONFLUENCE_PERSONAL_TOKEN": "your_personal_token_here"
			},
			"type": "stdio"
		},
		"dlt-analyzer": {
			"type": "stdio",
			"command": "C:\\Program Files\\LGEProject\\dlt_analyzer.exe",
			"env": {
				"lst_cids": "LSMF,UDS,PROG,IOLF",
				"lst_log_levels": "error,fatal,warning",
				"dataset": "LogAnalysis/dataset",
				"timezone": "7",
				"workspace_root": "."
			}
		}
	},
	"inputs": []
}

Features

• 🔍 Advanced DLT Log Analysis: Parse and analyze DLT files with intelligent filtering
• 🔗 MCP Integration: Seamless Model Context Protocol integration for enhanced AI assistance
• ⚡ Real-time Processing: Process logs efficiently with configurable parameters
• 🎯 Component Filtering: Filter by specific Component IDs (CIDs)
• 📊 Log Level Analysis: Focus on critical log levels (error, fatal, warning)
• 🌍 Timezone Support: Handle logs from different timezone contexts

Configuration Parameters

System Requirements

• VS Code: Version 1.100.0 or higher
• Python: Version 3.7+ with pip
• Operating System: Windows, macOS, or Linux
• Memory: Minimum 4GB RAM recommended for large log files

Quick Start

1. ✅ Install DLT Analyzer extension
2. ✅ Run "Install MCP DLT Analyzer" command
3. ✅ Create .vscode/mcp.json configuration
4. ✅ Place your DLT files in the LogAnalysis/dataset directory
5. 🚀 Start analyzing your logs!

How to use

Start using log analysis tool

We are provided 3 prompts for analysis ticket as below:

1. /mcp.dlt-analyzer.analyze-ticket-id:

• Input: Ticket-ID
• This prompt support user auto download all attachment from jira to /tickets/ticket-id, then analysis ticket and give summary for the user.

2. /mcp.dlt-analyzer.fetch-all-my-open-tickets:

• Input: None
• Support auto fetch all open ticket of current user and breakdown task to /task/...

3. /mcp.dlt-analyzer.fetch-open-tickets-of-user-with-project:

• Input: user and project
• Support read all ticket of user from that project and breakdown task to /task/...