The purpose of adding conbench to the current pandas benchmark system is:
- To improve the UI.
- Use conbench statistical analysis and detection of regression/improvement
- Add an automatic alert system for regressions or improvements.
client.py: Calls the adapter asvbench.py and posts to a conbench web app.
asvbench.py: Converts asv's benchmarks results to conbench format.
alert.py: Runs conbench alert pipeline, generates a report and sends alerts.
benchmark_email.py: Handles the email.
utilities.py: setup env variables, reads files.
setup_server.txt: Steps to install this PoC.
