Automation tooling using MarkCodable for reports
For my apps dataFude for Simulator and Rex Tables I have few command line tools that run some end-to-end tests. I use
MarkCodable to easily print reports to the console. In this short post I’m gonna show how
MarkCodable cuts down on some of the turnaround time when I’m making tools.
I wrote about MarkCodable previously when I released it: Introducing MarkCodable but I wanted to give you some more examples, just for fun.
MarkCodable is a codec conforming in part to the
Codable protocol. Long story short, if you have a codable struct called
User you can encode and decode it from markdown text like this:
| userID | name | |--------|------| |1 | John | |2 | Gui |
In this post, I’ll give you a use-case for encoding useful data as text to make it easier to use or export to other tools.
Printing Human-friendly Test Results
Rex Tables makes it really easy to read the
swift test command output and be able to sort the test results by duration or filter by test status:
However, sometimes I want to go even further — for example, compare regressions in test durations across runs, potentially across different periods of time.
For that, I need a format that I can compare either visually with a diff viewer or ingest it in another app to compare the results.
So let’s use the regex from the screenshot above to parse a Swift test log and then use
MarkCodable to export the results to a human-friendly format.
Parsing the Swift compiler output
Let’s first parse the output from
swift test which looks somewhat like this:
Test Case '-[MarkCodableTests.MarkCoderEnums testCustomCodingEnums]' started. Test Case '-[MarkCodableTests.MarkCoderEnums testCustomCodingEnums]' passed (0.000 seconds). Test Case '-[MarkCodableTests.MarkCoderEnums testPlainEnumsThrowError]' started. Test Case '-[MarkCodableTests.MarkCoderEnums testPlainEnumsThrowError]' passed (0.001 seconds). ...
First of all, we need a struct to store the interesting data in that input:
Then, we grab the name, status and duration with just few lines of Swift, by using the fancy new regex syntax:
Once we have the data in the
tests array, we can also sort it, filter it, etc. etc. — in the code above I just sort the tests by duration with the slowest first.
Now comes the interesting part: Make a new
MarkEncoder instance, and call
encode(_:) to turn the data into markdown:
|duration|name |passed| |--------|-------------------------------------------------------|------| |0.094 |MarkCoderTests testDeterministicFormatting |true | |0.006 |CombineMarkCodableTests testDecoding |true | |0.003 |MarkCoderLists testAllTheIntsInLists |true | |0.002 |MarkCoderEnums testRawValueEnums |true | |0.002 |MarkCoderErrors testDecodeUnexpectedInput |true | |0.002 |MarkCoderTests testCodingOptionalKeysDefaultTypes |true | ...
This is much more useful for me to see after running the test suite, I can diff it or feed it to another tool that plots graphs over time.
Where to go from here?
Check out MarkCodable’s readme file for few more examples: https://github.com/MarkCodable/MarkCodable. Additionally, the demo app included in the repo will give your some more ideas how to make the most of the package.
Finally, check out my app dataFude for Simulator to super-charge your debugging flow.