avs-rvtools-analyzer 2025.8.2

A tool for analyzing RVTools data.

AVS RVTools Analyzer

AVS RVTools Analyzer is a Flask-based application for analyzing RVTools data. It provides insights into migration risks and allows users to explore the content of uploaded RVTools Excel files.

Features

• Upload RVTools Excel files for analysis.
• View detailed information about the contents of the uploaded files.
• Analyze migration risks based on the data in the files:
  • USB devices
  • Disks with migration risks
  • Non dvSwitch network interfaces
  • Snapshots
  • Suspended VMs
  • dvPort issues
  • non Intel CPUs
  • Mounted CD/DVD drives
  • Oracle VMs
  • Large provisioned disks
  • VMs with high vCPU count
  • VMs with high memory allocation

Installation and Usage

Prerequisites

Make sure you have uv installed:

# On Windows (PowerShell)
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

# On macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

Quick Start with uv

The fastest way to run the application is using uv's tool runner:

# Run directly from PyPI (latest published version)
uv tool run avs-rvtools-analyzer

# Or run from source (current development version)
uv run avs-rvtools-analyzer

Development Setup

If you want to work on the code or contribute to the project:

# Clone the repository
git clone <repository-url>
cd rvtools-analyzer

# Install dependencies and run in development mode
uv sync --extra dev
uv run avs-rvtools-analyzer

# Or activate the virtual environment
uv shell
avs-rvtools-analyzer

Traditional Installation Methods

From PyPI

You can install RVTools Analyzer directly from PyPI:

# Using uv (recommended)
uv tool install avs-rvtools-analyzer

# Using pip
pip install avs-rvtools-analyzer

From Source

git clone <repository-url>
cd rvtools-analyzer

# Using uv (recommended)
uv build
uv tool install dist/avs_rvtools_analyzer-*.whl

# Using pip
pip install .

Development

Setting up the development environment

# Install development dependencies
uv sync --extra dev

# Run the application in development mode
uv run avs-rvtools-analyzer

# Or activate the shell and run commands
uv shell
avs-rvtools-analyzer

Code Quality Tools

This project uses several code quality tools that can be run with uv:

# Format code with black
uv run black rvtools_analyzer/ tests/

# Sort imports with isort
uv run isort rvtools_analyzer/ tests/

# Lint with flake8
uv run flake8 rvtools_analyzer/ tests/

# Type checking with mypy
uv run mypy rvtools_analyzer/

# Run all quality checks at once
uv run black . && uv run isort . && uv run flake8 . && uv run mypy .

Testing

# Run tests
uv run pytest

# Run tests with coverage
uv run pytest --cov=rvtools_analyzer

# Run tests in watch mode (if pytest-watch is installed)
uv add --dev pytest-watch
uv run ptw

Building and Publishing

# Build the package
uv build

# Publish to PyPI (requires authentication)
uv publish

Running the Application

Once installed, start the Flask application:

avs-rvtools-analyzer

By default, the application will run on http://127.0.0.1:5000. Open this URL in your web browser to access the application.

Configuration

You can configure the application using environment variables:

• FLASK_ENV: Set to development for development mode
• FLASK_DEBUG: Set to 1 to enable debug mode
• FLASK_PORT: Change the port (default: 5000)
• FLASK_HOST: Change the host (default: 127.0.0.1)

Example:

# Using uv
FLASK_DEBUG=1 FLASK_PORT=8080 uv run avs-rvtools-analyzer

# If installed as a tool
FLASK_DEBUG=1 FLASK_PORT=8080 avs-rvtools-analyzer

Project Structure

rvtools-analyzer/
├── rvtools_analyzer/          # Main application package
│   ├── __init__.py           # Package initialization
│   ├── main.py               # Flask application and entry point
│   ├── static/               # Static assets (CSS, JS, JSON)
│   └── templates/            # Jinja2 templates
├── tests/                    # Test suite
├── test-data/               # Sample test data
├── pyproject.toml           # Project configuration and dependencies
├── README.md                # This file
└── .gitignore              # Git ignore rules

Contributing

1. Fork the repository
2. Create a feature branch: git checkout -b feature-name
3. Make your changes and add tests
4. Run the test suite: uv run pytest
5. Run code quality checks: uv run black . && uv run isort . && uv run flake8 .
6. Commit your changes: git commit -am 'Add some feature'
7. Push to the branch: git push origin feature-name
8. Submit a pull request

License

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