Deployment Analyzer

A tool for analyzing deployment data with visualization capabilities. (c) 2025 by Axel Schmidt

Introduction

The Deployment Analyzer is a tool designed to help analyze and visualize deployment data. It provides both a command-line interface and a graphical user interface for importing data, performing analysis, and generating reports.

Installation

Pre-built Binary (Recommended)

1. Download the latest release package
2. Extract the ZIP file to a directory of your choice
3. Run DeploymentAnalyzer.exe to start the application

From Source

1. Ensure Python 3.9 or higher is installed
2. Clone this repository
3. Install required packages: pip install -r requirements.txt
4. Run python launcher.py to start the application

Building and Deploying

To build the application for distribution:

1. Follow the quick guide in BUILD_GUIDE.txt
2. Or see DEPLOYMENT.md for detailed instructions

Quick Build Reference

# Clean previous builds
Remove-Item -Recurse -Force -Path build, dist, *.spec

# Run the comprehensive build
.\ultimate_build.bat

# Create a user-friendly versioned distribution
.\create_versioned_release.bat

The final distribution will be located in dist\DeploymentAnalyzer-{VERSION}-Release and will contain:

• DeploymentAnalyzer.exe - Main executable that users can double-click
• README.txt - User documentation
• .app/ - Hidden folder containing application files and DLLs

Testing the Build

Always test the final distribution on a clean system before distributing to users to ensure all dependencies are included and the application starts properly.

Features

• Data import from CSV, Excel, and multiple other formats
• Advanced data filtering and transformation
• Interactive data visualization
• Export results to various formats (CSV, Excel, PDF)
• Comprehensive reporting capabilities
• Batch processing for multiple data sets

Usage

GUI Mode

1. Start the application by running DeploymentAnalyzer.exe
2. Use the file menu to import your data
3. Select analysis options from the toolbar
4. Generate visualizations using the chart buttons
5. Export results using the export menu

Command-line Mode

For batch processing or automation, use the command-line interface:

python deployment-analyse.py --input data/input.csv --output output/results.xlsx

Use --help to see all available command-line options.

Disk Space Requirements

The application requires approximately 350 MB of disk space when installed. This optimized size was achieved by:

• Excluding large sample CSV files
• Removing test directories from libraries
• Eliminating unnecessary sample data and documentation

If you're building from source, the build scripts automatically handle these optimizations.

Troubleshooting

If the application doesn't start:

1. Check the log files in the .app\support\logs directory
2. Ensure all required dependencies are installed
3. Verify that you have the necessary permissions to access the data directory

If you encounter specific errors, please check the DEPLOYMENT.md file for detailed troubleshooting steps.

Directory Structure

DeploymentAnalyzer-{VERSION}-Release/
├── DeploymentAnalyzer.exe  # Main launcher (visible)
├── README.txt              # Documentation (visible)
└── .app/                   # Application files (hidden)
    ├── lib/                # Core application files
    └── support/            # Data, logs, and output directories
        ├── data/           # User data
        ├── logs/           # Log files
        └── output/         # Generated output

License

This software is licensed under the MIT License. See the LICENSE file for details.

Support

For support, please open an issue on our issue tracker or contact Axel Schmidt.