To beat a dead horse, I’ll reiterate that all of these tasks will start simultaneously, meaning the relatively expensive REST API unit tests will start running at the same time as everything else. The tasks that will be waited on / shown the progress for will be in this order: Generating a bash script for that would look something like this: qtox -c acme-lib -e pep8 mypy -c acme-rest-api -e pep8 mypy -c acme-lib -e pytest -c acme-rest-api -e pytest > retox.sh If you’re working on both at the same time, you may want to simply run all of the Tox tests together, starting with Flake 8 and MyPy tests first. One is called acme-lib, and is a reusable library containing core business logic, while the other is acme-rest-api, which uses acme-lib. Say you have two directories containing two Python projects, both using tox. Use the -c flag to specify a tox directory, then use -e like normal. Qtox also supports creating bash scripts for multiple tox projects.
If you instead put the longer running jobs first, you’ll have to wait for them to finish before seeing feedback from quicker tools such as flake8. It’s up to you to make sure the simpler jobs are put earlier in the list you give to qtox.
This keeps things simpler so you don’t have to scroll back up to see what went wrong. If a job fails, all other subsequent jobs are simply killed without printing out their output. When it’s time to consume the results of that job, tail is invoked in another job, which reads from the start of the file and follows it until the process writing to it dies.
It does this by having every job redirect to a file. So in this example, blacks output would be seen as it happens, and when black finishes all of flake8’s output that happened in the interim will be shown before it’s current output is displayed, etc. When this script will instantly launch five jobs in parallel and wait on the results in the order you specified (meaning you want the quicker jobs- such as black or flake8- to run first).Īs it works it’s way through the list, it shows the output of each job in real time. Qtox can be used to create a bash script like so: qtox -e black pep8 mypy p圓5 p36 > retox.sh qtox doesn’t replace Tox, it just lets you augment it with the ability to re-run it’s commands faster. Note: tox needs to run one time before qtox can be used, in order for qtox to determine if command line tools are present in the virtualenv’s or if they should be checked for in the Tox’s whitelist_externals setting. The best solution is to just run everything as often as possible. However, because MyPy checks are often put in separate tox environment, it’s easy for people focused on a different problem (say, fixing a unit test) to run only those environments for minutes or hours before they remember to check MyPy, and be left needing to fix a bunch of type errors after they’re convinced they’ve already made their program work at runtime. Tools like MyPy offer the most value when they’re run continuously as development happens. The rise of truly amazing static analysis tools in Python such as MyPy exacerbate the problems I see running invoking Tox compared to manually crafting scripts. On the downside, these scripts obviously duplicated information already found in the tox.ini file and often became out of date. The speed savings were significant enough that I ended up writing Bash scripts to run the Tox commands and used that instead of Tox, which always ended up being faster according to time. tox/py27/bin/pytest mypkg) versus when I invoked Tox directly ( tox -e py27). Anecdotally, I’ve always noticed a huge speed improvement when I simply ran a command in the virtualenv tox set up (say. Tox appears to do a lot of house work before running even the simplest commands. Tox is great for making sure tests run a truly isolated environment on a CI platform, but if you’re just trying to run flake8 or the unit tests for the hundredth time today it can be overkill. Why you shouldn’t call Tox from your dev box
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