benchmark performance of import

[njzjz]

Do a benchmark before working on #526

Summary by CodeRabbit

• New Features
  • Introduced benchmark tests for import functionality and command line interface operations.
• Tests
  • Added new benchmark tests to assess performance improvements.
• Chores
  • Integrated pytest and pytest-codspeed into the project for enhanced testing capabilities.

[coderabbitai]

Walkthrough

The recent updates focus on bolstering testing capabilities through the introduction of benchmark testing for a Python package. The project now features a GitHub Actions workflow (benchmark.yml) that sets up Python, installs dependencies, and executes benchmarks using CodSpeedHQ. Furthermore, the pyproject.toml file now includes pytest and pytest-codspeed in the benchmark section to support these new tests. A new test file, test_import.py, has been added to assess importing dpdata and its command line interface.

Changes

File(s)	Change Summary
.github/workflows/benchmark.yml	Introduces a GitHub Actions workflow for running benchmarks using CodSpeedHQ.
pyproject.toml	Added pytest and pytest-codspeed to the benchmark section.
tests/benchmark/test_import.py	Added benchmark tests for importing dpdata and testing the dpdata command line interface.

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[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 83.63%. Comparing base (8b9fd0f) to head (cd9cc4f).
Report is 1 commits behind head on devel.

Additional details and impacted files

@@           Coverage Diff           @@
##            devel     #653   +/-   ##
=======================================
  Coverage   83.63%   83.63%           
=======================================
  Files          81       81           
  Lines        7009     7009           
=======================================
  Hits         5862     5862           
  Misses       1147     1147           

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

[codspeed-hq]

CodSpeed Performance Report

Congrats! CodSpeed is installed 🎉

🆕 2 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_cli (671.5 µs)
• test_import (729 µs)

[adriencaccia]

Hey @njzjz, I am a co-founder @CodSpeedHQ, glad to see you trying out our tool!

You use the CodSpeed action inside a matrix, thus running the action 3 times with different Python versions.
However, this will not work properly as CodSpeed is built to run only once per PR. There might be instances where the job is picked up correctly, and not the same Python version will be picked up each time.

I recommend that you create a separate workflow file or job with a single Python version and single use of the CodSpeed action. I recommend using Python 3.12, so that you can benefit from the automated flamegraphs in the CodSpeed UI 😉

[njzjz]

I recommend that you create a separate workflow file or job with a single Python version and single use of the CodSpeed action. I recommend using Python 3.12, so that you can benefit from the automated flamegraphs in the CodSpeed UI 😉

Thanks for your friendly reminder!