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

Project description

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

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 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

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 symbols like "|", ">" or "&" use escape symbol ""

! 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)

job_ids = ",".join([_ for __ in job_ids for _ in __])

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

Future features (maybe...)

  • 🪵 Profile executes comands for resource usage (cpus, memory, disc i/o, time)
  • 🏛️ History of used commands
  • ✨ Fancy dependencies
  • ➕ Extra arguments for sbatch

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