2026-1 MeasureSoftGram-CLI

Command line project to MeasureSoftGram

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What is the MeasureSoftGram-CLI?

The CLI is a command-line interface to the software.

How to use CLI

• How to use

How to run the project

Use Python 3.9 or higher. The CI currently uses Python 3.10.

First, clone the repository and enter the project folder:

git clone <repository-url>
cd <repository-folder>

It is recommended to create and activate a virtual environment:

python3 -m venv .venv
source .venv/bin/activate

Then install the project dependencies:

pip install -r requirements.txt

The requirements.txt file already installs the local application in editable mode through -e .. After that, the msgram command is available in the terminal.

To show all MeasureSoftGram commands, use:

msgram -h

If you do not want to use the installed msgram command, run the Python entry point directly:

python3 main.py -h

If a module is not found, check if the virtual environment is activated and run pip install -r requirements.txt again.

Quickstart (msgram demo)

If you just want to see the CLI working end to end without providing your own SonarQube export, run the demo. It ships an embedded sample dataset in examples/analytics-raw-data/ and runs the full pipeline (init, extract, calculate) for you:

msgram demo

This creates a ./msgram-demo/ working directory with the generated msgram.json, the extracted .metrics file and the calculated result (calc_msgram.csv by default). No external data or network access is required.

Optional arguments:

msgram demo -o <output_dir>    # choose the working directory
msgram demo -of json           # export the result as JSON instead of CSV

Basic usage

Create the default configuration file:

msgram init

This creates the .msgram/msgram.json file in the current directory.

List the configuration:

msgram list

Extract metrics from SonarQube/SonarCloud JSON files. Point -sp to a directory holding your own JSON exports, or use the sample dataset bundled in examples/analytics-raw-data/ to try it out:

msgram extract -sp examples/analytics-raw-data -ep .msgram

The -sp argument is the path to the directory with the JSON files. The -ep argument is the path where the extracted .metrics files will be saved.

Calculate the model values from extracted metrics:

msgram calculate -ep .msgram -cp .msgram -o csv

The -ep argument is the path to the extracted metrics. The -cp argument is the path to the folder with msgram.json. The -o argument defines the output format.

To see the options of a specific command, use:

msgram <command> -h

Common errors

If the project does not run, check these points first:

python --version
which python
which msgram

If the error is ModuleNotFoundError: No module named 'dotenv', the dependencies were probably not installed in the current environment. Activate the virtual environment and install the requirements again:

source .venv/bin/activate
pip install -r requirements.txt

If the msgram command is not found, check if the virtual environment is activated. You can also run the project using the Python entry point:

python3 main.py -h

If you use msgram init -cp <path>, make sure the parent directory already exists. The simplest option is to run msgram init inside the project folder.

How to run tests

Install the dependencies:

pip install -r requirements.txt

We are using tox for the tests, so it is good to install tox:

pip install tox

Then you can run the tests using:

tox

If you want to specify a test file, use pytest:

pip install pytest pytest-cov pytest-mock
pytest tests/unit/test_calculate.py

License

AGPL-3.0 License

Documentation

The documentation of this project can be accessed at this website: Documentation.

Contribute

Do you want to contribute with our project? Access our contribution guide where we explain how you do it.

Another informations

Our services are available on Docker Hub:

• Core
• Service

Wiki

For more informations, you can see our wiki:

• Wiki

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• Core
• Service
• Front Web
• Action
• Parser