LBT is a tool and a playground to benchmark performances of open-source Learning Record Stores. This project aims at helping universities, institutes, schools or edtechs to pick the LRS that best fit with their needs and constraints.
Once you've cloned the project, start an LRS using:
$ make run-lrs-ralph
And then run a benchmark:
$ bin/bench \
http://AAA:BBB@ralph:8090/xAPI \
/app/locust/post.py \
30 \
1 \
1
Usage of the bin/bench script is:
usage: bin/bench LRS_ROOT_URL PROTOCOL [DURATION] [CONCURRENT_USERS] [STATEMENTS_PER_REQUEST]
You will find your results in the latest runs directory:
$ ls runs | tail -n 1
You should see a bunch of CSV files created by locust and a parameters.txt
file containing the input parameters used for this run:
runs/2023-03-31T17:04:04,102856292-04:00
├── parameters.txt
├── run_exceptions.csv
├── run_failures.csv
├── run_stats.csv
└── run_stats_history.csv
0 directories, 5 files
This project is intended to be community-driven, so please, do not hesitate to get in touch if you have any question related to our implementation or design decisions.
We try to raise our code quality standards and expect contributors to follow the recommandations from our handbook.
This work is released under the MIT license (see LICENSE).