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oh-my-batch

PyPI version PyPI - Downloads PyPI - Python Version

A toolkit to manipulate batch tasks with command line. Designed for scientific computing community.

Features

  • omb combo: generate folders/files from different combinations of parameters
  • omb batch: generate batch scripts from multiple working directories
  • omb job: track the state of job in job schedular
  • omb misc: miscellaneous commands

Install

pip install oh-my-batch

Shell tips

oh-my-batch is intended to help you implement computational workflows with shell scripts. To make the best use of oh-my-batch, you need to know some shell tips.

Use cases

Load functions in shell script

You can load useful functions from oh-my-batch this way:

omb misc export-shell-func > omb-func.sh && source omb-func.sh && rm omb-func.sh

This will load some functions to your shell script, for example, checkpoint.

Generate files from different combinations of parameters

It's common to generate files with different combinations of parameters in scientific computing. For example, you have 3 LAMMPS data files in tmp directory: tmp/1.data, tmp/2.data, tmp/3.data. And you want to generate a series of input files with different parameters, for example, different temperatures 300K, 400K, 500K, against each data file.

In this case, you can use omb combo command to generate a series of input files for you.

# prepare fake data files
mkdir -p tmp/
touch tmp/1.data tmp/2.data tmp/3.data

# prepare a lammps input file template
cat > tmp/in.lmp.tmp <<EOF
read_data @DATA_FILE
velocity all create @TEMP @RANDOM
run 1000
EOF

# prepare a run script template
cat > tmp/run.sh.tmp <<EOF
cat in.lmp  # simulate running lammps
EOF

# generate input files
omb combo \
    add_files DATA_FILE tmp/*.data - \
    add_var TEMP 300 400 500 - \
    add_randint RANDOM -n 3 -a 1 -b 1000 --broadcast - \
    make_files tmp/in.lmp.tmp tmp/tasks/{i}-T-{TEMP}/in.lmp - \
    make_files tmp/run.sh.tmp tmp/tasks/{i}-T-{TEMP}/run.sh --mode 755 - \
    done

The above script will generate 9 folders in tmp/tasks directory with names from 0-T-300, 1-T-400, 2-T-500, 3-T-300 to 8-T-500. Each folder will contain a in.lmp file and a run.sh file.

The 9 folders are the combinations of 3 data files and 3 temperatures, and each input file will have a independent random number between 1 and 1000 as RANDOM.

You can run the about script by ./examples/omb-combo.sh, and you can also run omb combo --help to see the detailed usage of combo command.

Generate batch scripts from multiple working directories

It's common to submit a lot of jobs to a job scheduler. omb batch is designed to help you generate batch scripts from multiple working directories and package them into several batch scripts.

Let's continue the above example, now you have 9 folders in tmp/tasks directory. You want to package them into 2 batch scripts to submit to a job scheduler.

You can use omb batch to generate batch scripts for you like this:

cat > tmp/lammps_header.sh <<EOF
#!/bin/bash
#SBATCH -J lmp
#SBATCH -n 1
#SBATCH -t 1:00:00
EOF

omb batch \
    add_work_dirs tmp/tasks/* - \
    add_header_files tmp/lammps_header.sh - \
    add_cmds "checkpoint lmp.done ./run.sh" - \
    make tmp/lmp-{i}.slurm --concurrency 2

You will find batch scripts tmp/lmp-0.slurm and tmp/lmp-1.slurm in tmp directory.

omb batch will provide some useful functions in the batch script. For example, checkpoint will check if the job is done and skip the job if it's done.

You can run the above script by ./examples/omb-batch.sh,

Track the state of job in job schedular

Let's continue the above example, now you have submitted the batch scripts to the job scheduler. In this case, you can use omb job to track the state of the jobs.

omb job slurm submit tmp/*.slurm --max_tries 3 --wait --recovery lammps-jobs.json

The above command will submit the batch scripts to the job scheduler, and wait for the jobs to finish. If the job fails, it will retry for at most 3 times.

The --recovery option will save the job information to lammps-jobs.json file. If omb job is interrupted, you can rerun the exact same command to recover the job status, so that you don't need to resubmit the jobs that are still running or completed.

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