jbatch 0.1.3

Simple tool to wrap and execute sbatch commands from Jupyter Notebook cells with Conda envs

Jupyter Notebooks 🤝 Conda 🤝 Slurm

An alternative for writing separate sbatch scripts and bash pipelines for them – jb is a simple tool to wrap and execute sbatch comands from Juputer Notebook cells with conda envs:

• ⚙️ Config files with default sbatch parametres – e.g. --account, --partition
• 🚀 Python variables inside sbatch commands – e.g. for sample in samples: ..., see example №1
• 🐍 Conda envs with --conda flag, see example №2
• 🔗 Manage dependences for jobs, see example №4

Installation

pip install jbatch

Arguments

Arguments

Argument	Description
--account, -a	Account to charge for resource usage
--reservation, -r	Reservation name
--partition, -p	Partition to submit the job to
--cpus, -c	Number of CPUs to use (e.g. 4)
--mem, -m	Memory in GB without 'G' suffix (e.g. 8)
--time, -t	Time in hours (e.g. 24)
--conda	Activate conda environment by name or path, Conda executable must be in the $PATH
--logdir	Destination directory for .out and .err files
--name	Base name for .out and .err files
--config	Path to jb_config.yaml file. If no config given, trying to find one in the current dir and in ~/.config/jb
--verbosity, -v	Verbosity level: 0 - quiet, 1 - Job ID, 2 - params and cmd
--dry	Dry run – simulate job submission without executing commands
--dependency, -d	Job dependencies

Config

Config data in yaml fromat may be located in:

• ~/.config/jb/jb_config.yaml [default]
• ./jb_config.yaml
• anywhere if provided with --config flag Note: default config is generated in ~/.config/jb/jb_config.yaml, but user must add the information there manually

Any argument can be specified here and there are two extra options:

• prefix for a command to be executed before anything else, including conda actiavtion
• conda_prefix for a command to be executed before any conda env activation (some clusters require loading anaconda module first) Note: no '&&' are needed in this prefixes – they will be added by jb

Examples

📌 Example №0: Simple execution of sbatch command

! jb bwa index ~/ref/hg38.fa

🚀 Example №1: Using python variables

import glob
ref = "~/ref/hg38.fa" 
for sample in glob.glob("~/data/*.fq"):
  ! jb bwa mem {ref} {sample} -o {sample[:-2] + "sam"}

🐍 Example №2: Using conda environment

path = "~/data/sample1.sam"
! jb --conda ngs samtools view {path}

⚠️ Example №3: Using pipes and redirections

Tip: To use special bash characters like (i.e. "|", ">" or "&") use escape characters "\"

! jb echo "hi!" \> test123 \&\& sleep 5

🔗 Example №4: Managing dependencies

Tip: Use --dry and -v 2 to show command to execute without execution (but dependencies aren't shown)

job_ids = []
job_id = ! jb echo "Hello" \> "hi.txt"
job_ids.append(job_id)
job_id = ! jb echo "World" \>\> "hi.txt"
job_ids.append(job_id)

# convert list of lists into comma-separated job ids string 
job_ids = ",".join([_ for __ in job_ids for _ in __])

! jb -d {job_ids} cat "hi.txt"

Future features (maybe...)

• ⏱️ Profile submitted jobs for resource usage (cpus, memory, disc i/o, time)
• 🏛️ History of submitted jobs
• ✨ Fancy dependencies
• ➕ Extra arguments for sbatch