ATEX = Ad-hoc Test EXecutor

A collections of Python APIs to provision operating systems, collect and execute FMF-style tests, gather and organize their results and generate reports from those results.

The name comes from a (fairly unique to FMF/TMT ecosystem) approach that allows provisioning a pool of systems and scheduling tests on them as one would on an ad-hoc pool of thread/process workers - once a worker becomes free, it receives a test to run.
This is in contrast to splitting a large list of N tests onto M workers like N/M, which yields significant time penalties due to tests having very varies runtimes.

Above all, this project is meant to be a toolbox, not a silver-plate solution. Use its Python APIs to build a CLI tool for your specific use case.
The CLI tool provided here is just for demonstration / testing, not for serious use - we want to avoid huge modular CLIs for Every Possible Scenario. That's the job of the Python API. Any CLI should be simple by nature.

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Environment variables

• ATEX_DEBUG_TEST
  • Set to 1 to print out detailed runner-related trace within the test output stream (as if it was printed out by the test).

Testing this project

There are some limited sanity tests provided via pytest, although:

• Some require additional variables (ie. Testing Farm) and will ERROR without them.
• Some take a long time (ie. Testing Farm) due to system provisioning taking a long time, so install pytest-xdist and run with a large -n.

Currently, the recommended approach is to split the execution:

# synchronously, because podman CLI has concurrency issues
pytest tests/provision/test_podman.py

# in parallel, because provisioning takes a long time
export TESTING_FARM_API_TOKEN=...
export TESTING_FARM_COMPOSE=...
pytest -n 20 tests/provision/test_podman.py

# fast enough for synchronous execution
pytest tests/fmf

Unsorted notes

TODO: codestyle from contest

- this is not tmt, the goal is to make a python toolbox *for* making runcontest
  style tools easily, not to replace those tools with tmt-style CLI syntax

  - the whole point is to make usecase-targeted easy-to-use tools that don't
    intimidate users with 1 KB long command line, and runcontest is a nice example

  - TL;DR - use a modular pythonic approach, not a gluetool-style long CLI