testloop 0.1.1

A nimble testing tool

Testloop

A nimble testing tool

Usage

$ python testloop.py
[Wed Nov 30 20:34:50 2022] Running: python /home/jskulski/Code/jskulski/testloop/testloop.py test .

testloop: cwd=/home/jskulski/Code/jskulski/testloop
testloop: running test_command=`pytest -v --pdb --pdbcls=IPython.terminal.debugger:TerminalPdb -s tests/`


======================================= test session starts =======================================
platform linux -- Python 3.11.0, pytest-7.2.0, pluggy-1.0.0
rootdir: /home/jskulski/Code/jskulski/ballooning
plugins: cov-2.12.1, asyncio-0.20.2, syrupy-3.0.5, time-machine-2.8.2, anyio-3.6.2, aiohttp-1.0.4
asyncio: mode=Mode.STRICT
collected 9 items / 2 deselected / 7 selected

tests/test_initial_design_sprint.py s......                                                 [100%]

------------------------------------- snapshot report summary -------------------------------------

=========================== 6 passed, 1 skipped, 2 deselected in 0.04s ============================

testloop.py: reads itself for configuration, builds a pytest command and runs it when files change

Running python testloop.py starts a filewatcher that runs pytest

When a file changes:

1. testloop reads itself for pytest options
2. builds a pytest command from those options
3. runs that pytest command and reports results

testloop.py contains option dictionaries:

You can comment/uncomment/modify these options to trigger a new test run. Changing your source code will also trigger a new run.

pytest_opts = dict(
    # match='-k test_logs_when_both_repo_and_failsafe_fail_to_persist',
    # last_failed="--lf",
    dbg="--pdb --pdbcls=IPython.terminal.debugger:TerminalPdb",
    use_settrace="-s",
    # coverage="--cov=lib/history --cov-report term",
)

Note, the initial run of testloop will install dependencies at runtime.

Design

Testloop is a nimble developement testing tool.

Nimble development tools are designed to be:

• "Good enough" development tools available across the containerized divide.
• at-hand, easy to install, even on the most alpine of docker containers
• simple in function
• complex in features
• self contained configuration, effectively stateless
• self-installing dependencies allow for an unfolding feature set

Changelog

v 0.1.0

• create readme, package and publish
• testloop in a working state (read self for config, watches files, runs pytest)
• add a test for testloop

v 0.1.1

• adding CLI script, pre-commits
• updating pypi page

Current

v 0.1.5

• testloop executable script
• how do we handle configuration if we install via pip?
• fix PATHING

Future

v 0.2.0

• handle project environments venv activation (setup step?)

• direct skul.ski to a hosting service, update install doc

• system binary testloop if installed via pip

• cli options to turn on/off dependencies

• add pudb option, build configurations as object

• tui / gui / editor integrations

• create system-wide venv for dependencies OR consider rewriting as an executable + config