Summarize LSF job properties by parsing log files.

Related tags

Logginglsf_stats
Overview

lsf_stats

PyPI Tests

Summarize LSF job properties by parsing log files of workflows executed by Snakemake.

Installation

$ pip install lsf_stats

Usage

$ lsf_stats --help
Usage: lsf_stats [OPTIONS] COMMAND [ARGS]...

  Summarize LSF job properties by parsing log files.

Options:
  --version  Show the version and exit.
  --help     Show this message and exit.

Commands:
  gather     Aggregate information from log files in single dataframe.
  summarize  Summarize and visualize aggregated information.

Example

Assume that you executed your Snakemake workflow using the lsf-profile and all generated log files are stored in the directory ./logs/:

$ snakemake --profile lsf
[..]

You can then quickly aggregate resource, rule and other types of information about the workflow execution into a single dataframe:

$ lsf_stats gather -o workflow_stats.csv.gz ./logs/
[..]

This dataframe can then be summarized in various ways:

$ lsf_stats summarize \
    --query 'status == "Successfully completed."' \
    --split-wildcards \
    --grouping-variable category \
    workflow_stats.csv.gz
[..]

For example, the following plots will be generated:

Job execution Job resources
Job execution Job resources
Owner
Kim
:(){ :|: & };:
Kim
GitHub Repository
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