euroncap-rating-2026 2.0.1

This project implements Euro NCAP Rating Calculator 2026 to compute test scores

Euro NCAP Rating 2026

This repository provides tools for calculating Euro NCAP rating scores for 2026. It includes utilities for data conversion, score computation, and visualization of results.

Installation

Euro NCAP Rating 2026 can be installed using pip.

Prerequisites

Before installing the package, ensure you have the following prerequisites:

• Python: Version 3.10 or higher is required. You can download Python from the official website.

Using a Virtual Environment (Recommended)

It is recommended to use a Python virtual environment to isolate dependencies and avoid conflicts with other Python projects.

You only need to create the virtual environment once; after that, simply activate it whenever you work on the project.

On Linux/macOS:

python3 -m venv venv  # Create once
source venv/bin/activate  # Activate each time

On Windows (Command Prompt):

python -m venv venv  # Create once
venv\Scripts\activate.bat  # Activate each time

On Windows (PowerShell):

python -m venv venv  # Create once
venv\Scripts\Activate.ps1  # Activate each time

Once the virtual environment is activated, you can proceed with the installation steps below.

From PyPi

The recommended way to install the package is via PyPi, which is the default package index for Python.

To install the package from PyPi or upgrade to the latest version when a new release is available, use:

pip install --upgrade euroncap-rating-2026

From GitHub repository

It is also possible to install the package from a local repository or from GitHub, provided you have access to the Git repository.

Ensure you have the following additional prerequisites installed:

• Git: Required for installation from the GitHub repository. You can download Git from the official website.

To upgrade to the latest version from the GitHub repository, use:

pip install --upgrade euroncap_rating_2026@git+https://github.com/Euro-NCAP/euroncap_rating_2026

Usage

The application is organized into two subdomains: crash_avoidance and crash_protection. Each subdomain provides its own set of commands for generating templates, preprocessing input files, and computing scores.

General workflow for each subdomain:

1. Run the generate_template command to create the input template for the chosen subdomain.
2. Fill in the required fields in the generated template, following the instructions for each subdomain.
3. Run the preprocess command to prepare the data (e.g., generate test points or load cases).
4. Complete any additional required fields in the preprocessed file.
5. Run the compute_score command to calculate the results.

Example: Crash Protection

Generate the input template:

euroncap_rating_2026 crash_protection generate-template

This creates a crash_protection_template.xlsx file in your current directory.

Preprocess:

After filling in the required fields (such as the VRU Prediction Matrix), run:

euroncap_rating_2026 crash_protection preprocess -i cp_template.xlsx

This generates a new file (e.g., crash_protection_preprocessed.xlsx) with additional tabs as needed.

Compute scores:

euroncap_rating_2026 crash_protection compute-score -i cp_preprocessed_template.xlsx

Example: Crash Avoidance

Generate the input template:

euroncap_rating_2026 crash_avoidance generate-template

This creates a crash_avoidance_template.xlsx file in your current directory.

Preprocess:

After filling in the required fields, run:

euroncap_rating_2026 crash_avoidance preprocess -i ca_template.xlsx

This generates a new file (e.g., crash_avoidance_preprocessed.xlsx) with additional data as needed.

Compute scores:

euroncap_rating_2026 crash_avoidance compute-score -i ca_preprocessed_template.xlsx 

Command-line Help

You can view help for all commands and subcommands:

euroncap_rating_2026 --help
euroncap_rating_2026 crash_protection --help
euroncap_rating_2026 crash_avoidance --help

Each subdomain supports the following subcommands:

• generate_template – Generate the input template for the subdomain.
• preprocess – Prepare the input file for scoring.
• compute_score – Compute scores from the prepared input file.

Example help output:

euroncap_rating_2026 crash_protection --help
usage: euroncap_rating_2026 crash_protection <command> [options]

Sub-commands:
  generate_template   Generate crash protection template file.
  preprocess          Preprocess crash protection input file.
  compute_score       Compute crash protection scores.

Input Format

The application expects the input file to be in .xlsx format.

• Input Requirements: Users must provide values for all cells in the template that are highlighted with a light grey background. These cells represent the required input data for the application to compute the scores.

• For the VRU test, the user must provide a prediction for each cell in the VRU Prediction Matrix by selecting a color-coded value. Each cell contains a dropdown menu with the available options, which represent the possible prediction outcomes. The selectable values are:

  • Blue
  • Brown
  • Dark Red
  • Green
  • Green-20
  • Green-30
  • Green-40
  • Grey
  • Orange
  • Red
  • Yellow

Output Format

The output is an updated .xlsx file where all scoring cells are filled with computed scores.

The output file is saved with the naming convention DATE_TIME_report.xlsx, where DATE_TIME is replaced with the current date and time in the format YYYY-MM-DD_HH-MM-SS. For example, an output file generated on March 15, 2026, at 14:30:45 would be named 2026-03-15_14-30-45_report.xlsx.

This naming convention ensures that each output file is unique and timestamped for easy identification.

• Output Details: The cells updated by the application are highlighted with a yellow background in the output file, making it easy to identify the computed results.

Development

Configuration Options

For development, different configuration options are available. The application can be run in debug mode, which provides additional logging and a GUI for debugging purposes.

The application supports two configuration options:

1. log_level: Controls the logging level of the application (e.g., DEBUG, INFO, WARNING, ERROR, CRITICAL).

Configuration options can be specified using environment variables.

• EURONCAP_RATING_2026_LOG_LEVEL: Sets the logging level.

You can set the following environment variables before running the application:

On Linux/macOS:

export EURONCAP_RATING_2026_LOG_LEVEL=DEBUG

On Windows (Command Prompt):

set EURONCAP_RATING_2026_LOG_LEVEL=DEBUG

On Windows (PowerShell):

$env:EURONCAP_RATING_2026_LOG_LEVEL="DEBUG"

Installation from source

To run tests and develop the project, you need to install it from source.

After cloning the repository, install the project using Poetry.

poetry install

After installing from source, the usage is similar to above.

Usage: euroncap_rating_2026 [OPTIONS] COMMAND [ARGS]...

  Euro NCAP Rating Calculator 2026 application to compute NCAP scores.

Options:
  -h, --help  Show this message and exit.

Commands:
  crash_avoidance   Commands for domain crash_avoidance.
  crash_protection  Commands for domain crash_protection.

Tests

Unit Tests

Unit test can be executed with the command:

python -m unittest discover -s tests

It should output something similar to:

....................................................................
----------------------------------------------------------------------
Ran 68 tests in 0.029s

OK

You can check more options for unittest at its own documentation.

Smoke Test

A Docker-based smoke test suite is included to verify that the application and its dependencies work correctly in a containerized environment. The smoke test automatically generates test input files, runs the main application, and checks for successful execution and output generation.

For details on how to build and run the smoke test, see the smoke_test/README.md.

Python Library Licenses

Below is a list of the Python libraries used in this project along with their respective licenses and PyPI links.

Library	Version	License	PyPI Link
pandas	^2.2.3	BSD-3-Clause	pandas
pydantic	^2.11.1	MIT	pydantic
pydantic-settings	^2.8.1	MIT	pydantic-settings
openpyxl	^3.1.5	MIT	openpyxl
pdoc	^15.0.1	MIT	pdoc