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Install by pixi

The Mission Support System (MSS) including a Web Map Service (MSWMS), a Collaboration Server (MSColab) and a Graphical User Interface (MSUI) is available as a conda-forge package.

This channel conda-forge has builds for linux-64, osx-64, win-64, osx-arm64

The conda-forge github organization uses various automated continuous integration build processes.

In 2024, the workflow that has packages co-installed from Anaconda’s channel and conda-forge is no longer supported. We recommend since version 10.0.0 of MSS to use pixi for an installation. Get pixi from https://pixi.sh/latest/ for your operation system.

You can now decide if you want to install mss as global or a project.

Global Installation

You can install mss globally without defining a project first. This method is practical when you are interested in starting the client and don’t need server configurations.

pixi global install mss

Usage

msui
mswms -h
mscolab -h
mssautoplot -h

Updating

pixi global update mss

Project Installation

Initialize a new project and navigate to the project directory:

pixi init MSS
cd MSS

Use the shell command to activate the environment and start a new shell in there.

pixi shell

Add the mss dependencies from conda-forge.

(MSS) pixi add mss

Usage

Always, when you want to start mss programs after its installation, you have to activate the environment by pixi shell in the project dir. On the very first start of msui, it takes a bit longer because it setup fonts.

cd MSS
pixi shell

(MSS) msui
(MSS) mswms -h
(MSS) mscolab -h
(MSS) mssautoplot -h

Upgrading

cd MSS
pixi shell
(MSS) pixi upgrade mss

Usage

We describe the global installation.

GUI

To start the MSS UI you have to use a terminal.

$ msui

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The configuration is described in the section mss-configuration

mswms server

To try out the setup you can use demo data. Read about a server based installation.

    $ mswms_demodata --seed
    $ mswms

This data is then available on localhost:8081. The capabilities can be read on a web browser too.

mscolab server

To tryout the setup you can use demo data. Read about a server based installation.

    $ mscolab db --seed
    $ mscolab start

The service is than availale on localhost:8083 and can be verified by the server status

Further information about installation options

Please read details on http://mss.rtfd.io