👷 Setup benchmark workflow with pytest-codspeed

[weiji14]

Measuring the execution speed of unit tests to track performance of cog3pio Python functions over time.

Using pytest-codspeed to do the benchmarking, with the help of https://github.com/CodSpeedHQ/action. Decorated test_read_geotiff with @pytest.mark.benchmark to see if the benchmarking works.

Note: Running the benchmarks on Python 3.12 to enable flame graph generation, available with pytest-codspeed>=2.0.0 - see https://docs.codspeed.io/features/trace-generation.

References:

• https://codspeed.io/blog/introducing-codspeed
• https://docs.codspeed.io/benchmarks/python#running-the-benchmarks-in-your-ci

[codspeed-hq]

CodSpeed Performance Report

Congrats! CodSpeed is installed 🎉

🆕 1 new benchmarks were detected.

You will start to see performance impacts in the reports once the benchmarks are run from your default branch.

Detected benchmarks

• test_read_geotiff_local (424.4 µs)

[weiji14]

Flame graphs at https://codspeed.io/weiji14/cog3pio/branches/continuous-benchmarking:

Most time seems to be spent on the tiff decoder, makes sense!