This project implements Euro NCAP Rating Calculator 2026 to compute test scores
Project description
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. Note that the package is not available on PyPi yet, so you can install it from the GitHub repository or a local repository.
pip install 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.
You can install the project with the command:
pip install euroncap_rating_2026@git+https://github.com/Euro-NCAP/euroncap_rating_2026
Usage
Generate the input template:
```bash
euroncap_rating_2026 generate_template
```
This create a `template.xlsx` file to your current directory.
Fill in the required fields in the template (see Input Format section).
Compute scores:
```bash
euroncap_rating_2026 compute --input_path $PATH_TO_XLSX_FILE
```
The complete application help test is shown below:
euroncap_rating_2026 --help
usage: euroncap_rating_2026 <command> [options]
Euro NCAP Rating Calculator 2026 application to compute NCAP scores.
positional arguments:
{compute,generate_template}
Sub-commands
compute Compute NCAP scores from an input Excel file.
generate_template Generate template.xlsx file to the current working directory.
options:
-h, --help show this help message and exit
euroncap_rating_2026 -h for help
Score computation usage:
euroncap_rating_2026 compute --input_file example.xlsx
Input Format
The application expects the input file to be in .xlsx format. A template file is provided at data/template.xlsx to guide users in preparing their input.
-
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.
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:
-
log_level: Controls the logging level of the application (e.g.,DEBUG,INFO,WARNING,ERROR,CRITICAL). -
enable_debug_gui: Enables or disables the debug GUI for the application. Debug GUI requirestkinterlibrary to be installed alongside Python.If
tkinteris not available on your system, you will encounter an error when attempting to use the debug GUI. To resolve this, follow the instructions below to install it:- Windows: Install Python's Tkinter module via the Python installer.
- Mac: Tkinter is included with Python on macOS. Ensure you have Python installed.
- Linux: Run
sudo apt-get install python3-tkto install Tkinter.
Configuration options can be specified using environment variables.
EURONCAP_RATING_2026_LOG_LEVEL: Sets the logging level.EURONCAP_RATING_2026_ENABLE_DEBUG_GUI: Enables the debug GUI when set to1.
You can set the following environment variables before running the application:
On Linux/macOS:
export EURONCAP_RATING_2026_LOG_LEVEL=DEBUG
export EURONCAP_RATING_2026_ENABLE_DEBUG_GUI=1
On Windows (Command Prompt):
set EURONCAP_RATING_2026_LOG_LEVEL=DEBUG
set EURONCAP_RATING_2026_ENABLE_DEBUG_GUI=1
On Windows (PowerShell):
$env:EURONCAP_RATING_2026_LOG_LEVEL="DEBUG"
$env:EURONCAP_RATING_2026_ENABLE_DEBUG_GUI="1"
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.
euroncap_rating_2026 --help
euroncap_rating_2026 --input_file ~/Documents/test_file.xlsx
Computing NCAP scores...
Processing CP - Side Farside..
Processing CP - Frontal FW..
Processing CP - Frontal Offset..
Processing CP - Frontal Sled & VT..
Processing CP - Side MDB..
Processing CP - Side Pole..
Processing CP - Rear Whiplash..
Score:
Test Score Max Score
----------------------------------------
Farside 9.0 10.0
FW 9.5 10.0
Offset 13.75 20.0
Sled & VT 10.0 10.0
MDB 0.0 15.0
Pole 0.0 10.0
Rear 0.0 7.5
----------------------------------------
Final score 42.25 82.5
Log available at /home/user/euroncap_rating_2026.log
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 |
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