A compspec (Composition spec) is a specification and model for comparing things. Compspec modules is a plugin for extraction of environment modules subsystem metadata about software installed on a system. This can be for the entire system or a user-specific install. The plugin exports json graph format (JGF) that can be used for scheduling and other purposes. To learn more:
- Compspec: the Python library that discovers and loads this plugin.
Note that I'm currently parsing environment modules, and very simply. We can extend to more complex / LMOD if needed.
Install compspec and the plugin here:
pip install compspec
pip install compspec-modulesHere is an easy way (in the devcontainer) to get a bunch of testing modules.
git clone https://github.com/shawfdong/modulefiles /tmp/modulefiles
export MODULEPATH=$MODULEPATH:/tmp/modulefilesThen run an extraction with spack. You will want to provide the root to the spack install to describe:
compspec extract modulesTo save to file:
compspec extract --outfile module-subsystem.json modulescompspec-modules output
{
"graph": {
"nodes": {
"environment-modules0": {
"metadata": {
"type": "environment-modules",
"basename": "environment-modules",
"name": "environment-modules0",
"id": 0,
"uniq_id": 0,
"containment": {
"paths": "/environment-modules0"
},
"size": 1,
"unit": "",
"rank": 0,
"exclusive": false
},
"label": "environment-modules0"
},
"module1": {
"metadata": {
"type": "module",
"basename": "module",
"name": "module0",
"id": 1,
"uniq_id": 1,
"containment": {
"paths": "/environment-modules0/module0"
},
"size": 1,
"unit": "",
"rank": 0,
"exclusive": false,
"attributes": {
"name": "dot",
"software": "dot"
}
},
"label": "module1"
},
"module2": {
"metadata": {
"type": "module",
"basename": "module",
"name": "module1",
"id": 2,
"uniq_id": 2,
"containment": {
"paths": "/environment-modules0/module1"
},
"size": 1,
"unit": "",
"rank": 0,
"exclusive": false,
"attributes": {
"name": "module-info",
"software": "module-info"
}
},
"label": "module2"
},
"module3": {
"metadata": {
"type": "module",
"basename": "module",
"name": "module2",
"id": 3,
"uniq_id": 3,
"containment": {
"paths": "/environment-modules0/module2"
},
"size": 1,
"unit": "",
"rank": 0,
"exclusive": false,
"attributes": {
"name": "modules",
"software": "modules",
"version": "5.4.0"
}
},
"label": "module3"
},
"module4": {
"metadata": {
"type": "module",
"basename": "module",
"name": "module3",
"id": 4,
"uniq_id": 4,
"containment": {
"paths": "/environment-modules0/module3"
},
"size": 1,
"unit": "",
"rank": 0,
"exclusive": false,
"attributes": {
"name": "module-git",
"software": "module-git"
}
},
"label": "module4"
},
"module5": {
"metadata": {
"type": "module",
"basename": "module",
"name": "module4",
"id": 5,
"uniq_id": 5,
"containment": {
"paths": "/environment-modules0/module4"
},
"size": 1,
"unit": "",
"rank": 0,
"exclusive": false,
"attributes": {
"name": "use.own",
"software": "use.own"
}
},
"label": "module5"
},
"module6": {
"metadata": {
"type": "module",
"basename": "module",
"name": "module5",
"id": 6,
"uniq_id": 6,
"containment": {
"paths": "/environment-modules0/module5"
},
"size": 1,
"unit": "",
"rank": 0,
"exclusive": false,
"attributes": {
"name": "null",
"software": "null"
}
},
"label": "module6"
},
"module7": {
"metadata": {
"type": "module",
"basename": "module",
"name": "module6",
"id": 7,
"uniq_id": 7,
"containment": {
"paths": "/environment-modules0/module6"
},
"size": 1,
"unit": "",
"rank": 0,
"exclusive": false,
"attributes": {
"name": "python/intelpython2",
"software": "python"
}
},
"label": "module7"
},
"module8": {
"metadata": {
"type": "module",
"basename": "module",
"name": "module7",
"id": 8,
"uniq_id": 8,
"containment": {
"paths": "/environment-modules0/module7"
},
"size": 1,
"unit": "",
"rank": 0,
"exclusive": false,
"attributes": {
"name": "python/anaconda3",
"software": "python"
}
},
"label": "module8"
},
"module9": {
"metadata": {
"type": "module",
"basename": "module",
"name": "module8",
"id": 9,
"uniq_id": 9,
"containment": {
"paths": "/environment-modules0/module8"
},
"size": 1,
"unit": "",
"rank": 0,
"exclusive": false,
"attributes": {
"name": "python/anaconda2",
"software": "python"
}
},
"label": "module9"
},
"module10": {
"metadata": {
"type": "module",
"basename": "module",
"name": "module9",
"id": 10,
"uniq_id": 10,
"containment": {
"paths": "/environment-modules0/module9"
},
"size": 1,
"unit": "",
"rank": 0,
"exclusive": false,
"attributes": {
"name": "python/intelpython3",
"software": "python"
}
},
"label": "module10"
},
"module11": {
"metadata": {
"type": "module",
"basename": "module",
"name": "module10",
"id": 11,
"uniq_id": 11,
"containment": {
"paths": "/environment-modules0/module10"
},
"size": 1,
"unit": "",
"rank": 0,
"exclusive": false,
"attributes": {
"name": "python/rh-python36",
"software": "python"
}
},
"label": "module11"
},
"module12": {
"metadata": {
"type": "module",
"basename": "module",
"name": "module11",
"id": 12,
"uniq_id": 12,
"containment": {
"paths": "/environment-modules0/module11"
},
"size": 1,
"unit": "",
"rank": 0,
"exclusive": false,
"attributes": {
"name": "PrgEnv-intel/2019.1.053",
"software": "PrgEnv-intel",
"version": "2019.1.053"
}
},
"label": "module12"
},
"module13": {
"metadata": {
"type": "module",
"basename": "module",
"name": "module12",
"id": 13,
"uniq_id": 13,
"containment": {
"paths": "/environment-modules0/module12"
},
"size": 1,
"unit": "",
"rank": 0,
"exclusive": false,
"attributes": {
"name": "PrgEnv-pgi/llvm_18.10",
"software": "PrgEnv-pgi",
"version": "18.10"
}
},
"label": "module13"
},
...
},
"metadata": {
"install_name": "compat-experiment"
}
}If you open the Development container in VSCode, you'll find environment modules are installed:
$ module availThis allows us to easily develop and test the compatibility plugin.
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SPDX-License-Identifier: (MIT)
LLNL-CODE- 842614