Simple statefile-driven task schedulers for AiiDA
Project description
aiida-statefile-schedulers
Simple statefile-driven task schedulers: Currently AiiDA relies mostly on full fledged task schedulers to run jobs in complex workflows. Running such workflows with the direct scheduler often means that many processes run together even when running the workflow directly (e.g. not submitting to the daemon), overloading a single node.
This scheduler does not run any jobs. Instead, it creates state files of the form $jobid.QUEUED
in the directory
${AIIDA_STATE_DIR}
(an environment variable you have to set in your .profile/.bash_profile
of the target machine),
waiting for some script to pick the jobs up and run them.
This runner script should create a file $jobid.DONE
when done. As intermediate steps it can also create a file $jobid.RUNNING
to
signal AiiDA that it picked up a job. The initial state file contains lines of the form key=value
with the following keys:
cwd
: the working directory for this jobcmd
: the command to run there (usually viabash -e ...
)
The state files can also be renamed instead of created. A sample runner can be found in scripts/
.
Features
Installation
pip install aiida-statefile-scheduler
verdi quicksetup # better to set up a new profile
verdi plugin list aiida.schedulers # should now show your calculation plugins
Development
git clone https://github.com/dev-zero/aiida-statefile-schedulers .
cd aiida-statefile-schedulers
pip install -e .[pre-commit,testing] # install extra dependencies
pre-commit install # install pre-commit hooks
pytest -v # discover and run all tests
See the developer guide for more information.
License
MIT
Contact
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file aiida-statefile-schedulers-0.2.1.tar.gz
.
File metadata
- Download URL: aiida-statefile-schedulers-0.2.1.tar.gz
- Upload date:
- Size: 3.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4395932d699be1eb223f299d79616a2e1dc30234fcc38500dbc5afb2cbdb05ae |
|
MD5 | bd5e8b485d70705af36f60b3e4179c06 |
|
BLAKE2b-256 | 135476f82aea566ddb0361e17b6f5044fb2882319337a05e474ea24fc3f7ef6b |