📊 STDF Record Viewer - VS Code Extension

A powerful and modern VS Code extension for viewing and analyzing STDF (Standard Test Data Format) files with an intuitive web-based interface.

🎥 Demo Video

✨ Features

🚀 Core Features

• 🎯 View STDF Records - See records which are in .stdf file
• 📑 24 Record Types Supported - FAR, ATR, MIR, MRR, PCR, HBR, SBR, PMR, PGR, PLR, RDR, SDR, WRR, WCR, PIR, PRR, TSR, PTR, MPR, FTR, BPS, EPS, GDR, DTR
• 🎨 Modern UI - Beautiful gradient design with dark theme
• ⚡ Fast Loading - Streams only selected record type from large files

🔍 Advanced Features

• 📊 Interactive Table - Resizable columns with text wrapping
• 🔎 SQL Query Support - Filter data using SQL-like syntax
• 📄 Pagination - Navigate through large datasets (100 records per page)
• 💾 CSV Export - Export filtered results with timestamp
• ⌨️ Query History - Undo/Redo with Ctrl+Z / Ctrl+Y
• 🎯 Smart Filtering - Case-insensitive search with LIKE, IS NULL support

💻 SQL Query Examples

-- Get all records
SELECT * FROM data

-- Filter by field
SELECT * FROM data WHERE TEXT_DAT = 'Example'

-- Pattern matching
SELECT * FROM data WHERE TEXT_DAT LIKE 'Example%'

📦 Installation

Prerequisites

Python 3.10+ must be installed on your system with the following libraries:

python -m pip install Semi-ATE-STDF pandas

Install Extension

🎯 Usage

Method 1: Right-Click

1. Right-click any .stdf file
2. Select "Open With..."
3. Choose "STDF Record Viewer"

🎨 Interface Overview

1. Header Section

• File name display
• Gradient purple theme

2. Control Panel

• Record Type Dropdown - Scrollable list of 24 record types
• Load Records Button - Fetches selected record type
• Export CSV Button - Exports current filtered data

3. SQL Query Panel

• Query Input - Multi-line SQL editor
• Execute SQL Button - Run query on loaded data
• Clear & Show All Button - Reset filters
• Query History - Ctrl+Z to undo, Ctrl+Y to redo

4. Data Table

• Resizable Columns - Drag column edges to resize
• Text Wrapping - Long text automatically wraps
• Sticky Header - Header stays visible while scrolling
• Row Hover Effect - Highlights row on hover

5. Pagination

• Navigate large datasets
• Shows: First, Previous, Page Numbers, Next, Last
• Displays current page info (e.g., "Showing 1 to 100 of 500 records")

🔧 Keyboard Shortcuts

📊 Supported STDF Record Types

And more: PIR, PRR, TSR, PMR, PGR, PLR, RDR, SDR, WRR, WCR, BPS, EPS

🐛 Troubleshooting

Extension doesn't open for .stdf files

1. Right-click the .stdf file
2. Select "Open With..."
3. Choose "STDF Record Viewer"
4. Check "Configure default editor for '*.stdf'..."

Python Error: Module not found

# Install required libraries
python -m pip install Semi-ATE-STDF pandas

# Verify installation
python -c "from Semi_ATE import STDF; print('✓ Success')"

No records displayed

• Check if the selected record type exists in your STDF file
• Try different record types (MIR, DTR are commonly present)
• Check Python console for errors

SQL Query not working

• Make sure to use FROM data (lowercase)
• Enclose string values in single quotes: 'value'
• Use uppercase for column names: TEXT_DAT, REC_LEN

📝 Technical Details

Architecture

• Language: TypeScript
• Framework: VS Code Extension API
• UI: Custom Webview with HTML/CSS/JavaScript
• Parser: Python (Semi-ATE-STDF library)
• Data Processing: Client-side SQL engine

File Structure

Extension/
├── src/
│   └── extension.ts          # Main extension logic
├── out/                       # Compiled JavaScript
├── dist/                      # Distribution files
├── package.json              # Extension manifest
├── tsconfig.json             # TypeScript config
└── README.md                 # This file

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Semi-ATE Team - For the excellent STDF parsing library
• VS Code Team - For the powerful extension API
• Community - For feedback and contributions