54 lines
2.4 KiB
Markdown
54 lines
2.4 KiB
Markdown
---
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title: "Good Tests"
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date: 2023-05-12T23:40:19-04:00
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draft: false
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---
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_(Notes for a Viget article I'm putting together)_
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* Most importantly: **give you confidence to make changes**
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* Focus on two kinds of tests: unit and integration
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* Unit: test your objects/functions directly
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* Integration: simulated browser interactions
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* If you're building an API, you might also have request specs
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* But ideally you're testing the full integration of UI + API
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* Unit tests
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* Put complex logic into easily testable objects/functions
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* This is where [TDD][1] can come into play
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* Avoid over-stubbing/mocking -- what are you even testing
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* It is OK to go down the stack in your unit tests
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* Integration tests
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* You need proper end-to-end testing
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* Set up your data (fresh per test)
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* Visit a page
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* Interact with it
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* Make assertions about the results
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* Coverage
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* We shoot for 100% in SimpleCov (So all the Ruby is tested)
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* Some consider this too high or too burdensome -- I don't
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* If it's 100%, you instantly know if you have any untested code
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* If it's, say, 94%, and you add 100 lines, six of those can be untested -- hope they're perfect!
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* In other words, at less than 100% coverage, you don't know if your new feature is fully covered or not
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* Occasionally you have to ignore some code -- e.g. something that only runs in production
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* Third-party/network calls
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* Major libraries often have mock services (e.g. [stripe-mock][2])
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* VCR is … OK but can become a maintenance problem
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* Block access to the web
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* A better approach
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* Move your integration code into a module
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* Create a second stub module with the same API
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* Use [JSON Schema][3] to ensure stub stays in sync (i.e. both the real client and the stub client validate against the schema)
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* This will lead to more reliable tests and also more robust code
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* Flaky tests are bad
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* They eat up a lot of development time (esp. as build times increase)
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* Try to stay on top of them and squash them as they arise
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* Some frameworks have `retry` options/libraries that can help (bandage not cure)
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* In general, though, flaky tests suck and generally indicate lack of quality with either your code or your tools
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* So write better code or pick better tools
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[3]: https://json-schema.org/
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[1]: https://en.wikipedia.org/wiki/Test-driven_development
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[2]: https://github.com/stripe/stripe-mock
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{{<thumbnail notes "400x" />}}
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