build: dockerize promcda

.dockerignore

@@ -0,0 +1,12 @@
+.ipynb_checkpoints/
+__pycache__
+*.pyc
+*.pyo
+*.pyd
+env/
+venv/
+.idea/
+.vscode/
+*.git
+*.gitignore
+.DS_Store

Dockerfile

@@ -0,0 +1,20 @@
+# Use an official Python runtime as a parent image
+FROM python:3.9-slim
+
+# Set the working directory in the container
+WORKDIR /app
+
+# Copy the current directory contents into the container at /app
+COPY . /app
+
+# Install any needed packages specified in requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Install the package
+RUN pip install .
+
+# Make port 80 available to the world outside this container
+EXPOSE 80
+
+# Run the command to start your package
+CMD ["python3", "-m", "mcda.mcda_run", "-c", "configuration.json"]

README.md

@@ -209,7 +209,7 @@ pip install -r requirements.txt
 The Python version should de 3.9 or higher.
 
 ### Running ProMCDA
-From the root dir, 
+From the root dir, via command line
 - on Windows:
 ```bash
 activate.bat <your-env>
@@ -222,6 +222,22 @@ python3 -m mcda.mcda_run -c configuration.json
 ```
 where an example of configuration file can be found in `./configuration.json`.
 
+We tested ProMCDA on Windows, Linux and Mac. We identified a possible issue with some Windows machines caused by the
+library ```kaleido``` (used to generate static images) and reported [here](https://github.com/plotly/Kaleido/issues/126). 
+If you are experiencing any unexpected behavior of the package, we provide to you also the possibility to run it via Docker.
+
+First, build the docker image:
+```bash
+docker build -t <your-docker-image> .
+```
+
+Then, run the Docker container:
+```bash
+docker run -p 4000:80 <your-docker-image>
+```
+
+Change the configuration file for your needs.
+
 ### Running the tests
 ```bash
 python3 -m pytest -s tests/unit_tests -vv