A commanding (terminal) view of your test-coverage.
“A commanding view of your test-coverage”
The command-line tool cuv provided by this package gives some useful tools to visualize your project’s coverage data. This means you must first run coverage against your project’s test-suite.
Once you have a .coverage file, you can use the commands documented below (or just type cuv to explore the help).
We utilize several quality open-source packages to achieve this:
Background + Terminology
This started out as some experiments in “whole-project coverage visualization”, and then also grew some console tools that I find useful when working with Python code.
I have abandoned the pixel/graphical visualization ideas and
proofs-of-concepts into a branch and now this tool is
console visualizations – which are very useful when working on Python
As far as my setup, I am using Debian with a 256-color and unicode capable shell using Solarized Dark color schemes. There are probably bugs with other setups, and to a reasonable extent I’m happy to accept pull-reqeusts fixing these. That said, a unicode-capable shell is a must.
Notes on Tox
If you’re using tox to run tests (and you should, it’s great!) your coverage files will – depending upon setup – end up in .tox/envname/.coverage or similar. So, you will either need to use --coverage to point cuv’ner at the right file, or simply move it to the top-level of your project for ease-of-use.
The “uncovered” lines start with a slightly different unicode character than the “covered” lines, so if you’re trying to write tests for uncovered things, you can do this on the “next file that has uncovered things”:
cuv src/file.py | less -p ▌ -j 4
That says (since cuv lessopen is the “default” command) to run cuv lessopen on src/file.py and then , in less, jump to the first uncovered line and place it 4 lines below the top of the screen. You can then hit n in less to go to the next one.
This is precisely what the cuv next command does.
The two main tools usable directly in the console are cuv graph and cuv lessopen (which can be tied directly into less via the LESSOPEN environment variable). For determining coverage of branches or individual commits, use cuv diff. cuv spark can provide a quick overview of a project’s coverage.
This displays all the files in your project and a histogram-like graph of their coverage. Each character represents 8 lines of code, and uses a group of unicode characters (0x2580 through 0x2587) to draw a little graph. So, if those 8 lines are not covered at all, the graph will be all red; if they’re all covered, it will be all green. If 2 out of the 8 lines are covered, there will be about 25% green and the rest red.
The total size of each file can thus be easily seen (by the length of the histogram part, which wraps to subsequent lines if needed) and an idea of which parts are covered is given.
- testing on more terminal types
- how does it look when using something besides Solarized Dark?
- useful, beyond eye-candy?
This command is intended to be used via the LESSOPEN environment variable, which lets you pre-process files that are opened with less. So, once set up (see the help via cuv lessopen --help) you can simply run less on any file in your project, and it will get syntax-highlighted and show you the line-by-line coverage with a leading green or red mini-verical bar and red background (for uncovered lines).
A header appears at the top showing the total coverage for this particular file.
You can pipe a git diff to this and see a colorized version of the diff in your console. I am using a library called unidiff to read the actual diff, which so far works quite nicely. That said, I’ve only tried against the output of Git, like so:
git diff | cuv diff | less
- colors are unsatisfying, since for added lines they’re pretty much the same as Git’s colored output
- maybe make it look more like the “real” underlying diff? (e.g. re-create the @@ and so forth things)
- does it work with merge commits?
This shows a “spark-line” sort of thing in the console. It’s not very useful for big projects (e.g. Twisted), but gives a very quick overview of the coverage in a small amount of space. Using the same unicode characters as cuv graph, this represents each file as a single character, and its percentage coverage is graphed (so you only get granularity down to about 12.5%).