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> You don't. Testing third-party code is beyond the purview of first-party tests. Testing third-party code is often well within the purview of first-party inte
by MaulingMonkey 3y ago
> You don't. Testing third-party code is beyond the purview of first-party tests.
Testing third-party code is often well within the purview of first-party integration testing. Aside from validating your code, and your understanding of the documentation, these sometimes incidentally catch third-party bugs. Working around bugs until upstream fixes their code may also be within the purview of first-party code... and perhaps catching regressions even if they've supposedly been fixed.
> Otherwise, if the code is truly beyond your reach, you just have to trust that the vendor's claims are true. If you cannot establish that trust, use a different library that you can trust. Testing concerns are the least of your problems when you have no trust for the library you are using.
We unit test our code because we can't even trust ourselves - nevermind our coworkers, nevermind third party vendors. Granted, unit tests for third party libraries are often worth upstreaming, and you may trust upstream enough to delete your downstream copies of those unit tests once you do...
- randomdata 3y ago> Testing third-party code is often well within the purview of first-party integration testing. Not really. While you may end up testing third-party code incidentally in the process of you testing your first-party code, explicit tests directed at third-party code necessarily requires testing implementation details, and testing implementation details is how you get constantly breaking tests every time you try to change something and developers giving up on testing in frustration. The value proposition of testing is that it documents the user interface in a way that is independent of implementation, allowing you to continue to iterate on the implementation while having assurances that, no matter what you do under the hood, the user experience does not deviate from what is documented.
- dragonwriter 3y ago> The value proposition of testing is that it documents [...] No, the value proposition of testing is that it identifies incorrect system behavior before it manifests in live use. Documentation of anything is not the central value proposition of testing.
- randomdata 3y ago> the value proposition of testing is that it identifies incorrect system behavior before it manifests in live use. Incorrect with respect to the documentation, yes. That's what I just said. Tests are not intended to find undocumented incorrect behaviour. This is provable by taking it to the logical extreme of a codebase that is completely undocumented (no tests). When no tests run, no incorrect behaviour will be uncovered by it. Only documented cases can reveal instances where the code does not conform to what is documented.
- tourist2d 3y ago[dead]
- danielovichdk 3y agoI would urge anyone to read this book on unit testing, which is reviewed in this Gist. https://gist.github.com/gniemann/adaf12895c22eb5c11c0591f8cb5952c https://gist.github.com/gniemann/adaf12895c22eb5c11c0591f8cb...
- wharvle 3y agoMy experience has been that the documentation value of a good test suite is its primary value, by a mile. It’s documentation a machine can validate, which is the best kind of documentation. (Static types are documentation a machine can validate, that also happen to be very good communication tools)
- throwbadubadu 3y agoWhy cant you test third-party code the same as you ideally test first party, by the interface and spec, as black box? Did that, and most often then just happens implicitly anyway in integration testing? Because your code uses third-party as specced? Confused.
- randomdata 3y agoThird-party code hidden in a black box cannot be within the purview of your first-party tests. There is no way for those tests to know that the third-party code exists. It's hidden away in a black box. If a third-party library within the black box is executed during the execution of a test, you may incidentally discovery cases where the library produces something not conformant with your documentation, but that is in no way explicit.
- Sakos 3y agoI'm confused by this line of reasoning. The point of the black box is that you have clearly defined the expected input and output and don't care about the implementation details of the thing sitting inside the box. You can test both what you pass in to the black box and what you get out of it. And it's incredibly useful and important to do so. If you aren't testing third party libraries (or other dependencies) in this way, you're opening yourself up to a lot of unnecessary risk. Those assumptions about your expected output are always there, whether you define and test them or not. So if for some reason the library changes its output unexpectedly and you aren't explicitly testing your assumptions, it can easily happen that you won't find out until it manifests in a production bug.
- randomdata 3y ago> I'm confused by this line of reasoning. That's because you haven't read the discussion. Why would you expect anything else? Your comment straight up reiterates what was already said. For example, "The value proposition of testing is that it documents the user interface in a way that is independent of implementation, allowing you to continue to iterate on the implementation while having assurances that, no matter what you do under the hood, the user experience does not deviate from what is documented." Explicitly testing third-party code introduces testing of implementation details. It is impossible to explicitly test another codebase without knowing of its existence. But it is not an area of concern for a first-party application to worry about. The third-party should already have those tests in the third-party codebase.
- MaulingMonkey 3y ago> Not really. Yes really. > While you may end up testing third-party code incidentally in the process of you testing your first-party code, explicit tests directed at third-party code necessarily requires testing implementation details, and testing implementation details is how you get constantly breaking tests every time you try to change something and developers giving up on testing in frustration. Depends. I'm certainly not advocating testing implementation details - 3rd party or 1st party - that your codebase doesn't rely upon. That is brittle as you say. But I do advocate for being willing to test anything you rely on - be that documented, hinted at, undocumented, or even explicitly warned against assuming if for some horrible reason you have a terrible need to make such assumptions anyways. 1st party or 3rd party. When so written, if the tests are brittle, the codebase is brittle, and the tests correctly identify that needs to be fixed. Deleting or not writing the tests won't fix the problem - it'll merely shove the problem into production. Amelioration might include carefully controlling and vetting updates, switching libraries, writing your own, rewriting your code to make fewer assumptions... or perhaps just yeeting the entire feature relying upon it out of your codebase, if you're desperate enough. > The value proposition of testing is that it documents the user interface in a way that is independent of implementation That is a value proposition, but not the only one. Others include simplifying debugging when you break things, when other people break things, and catching bugs before they go live instead of after (even if it'd be trivial to fix when someone belatedly notices.) Fuzzing-generated regression tests are often unreadable garbage when it comes to the purpouses of "documentation", a cargo cult of redundancies and red herrings and voodoo that, once, caused a crash. Another value proposition - and I do find value in this in bugs caught in my code, their code, and their documentation - is "documenting" my understanding of upstream documentation, for which upstream tests alone will be useless. After all, that verified someone else's understanding, not mine. And it turns out this is important, because the documentation is outdated, the documentation lies, the documentation is insufficient, the documentation didn't consider that edge case, and the documentation foolishly presupposes common sense. Anyone telling you otherwise has a bridge to sell. Even worse: the documentation may be technically correct... but misleading. Can't even blame the author - it made sense to them! > allowing you to continue to iterate on the implementation while having assurances that, no matter what you do under the hood, the user experience does not deviate from what is documented. Such iteration might include updating third party dependencies. I do this frequently. Poor test coverage means heisenbugs and fear around updates. Good test coverage might explicitly compare two different backends, or different versions of the same backend - 100% implementation details - and ensure the publicly visible behavior of my own APIs remains identical when switching between them. This means knowing which versions of which third party libraries to forbid or write workarounds for. Such tests should make no stupid assumptions, but should absolutely test for sane assumptions. Such iteration might include upgrading compilers. I do this frequently. We've had unit tests catch codegen bugs. This is good.
- unscaled 3y ago> Testing third-party code is often well within the purview of first-party integration testing. Yes, integration tests do tend to cover integration with third party libraries and even entire products (such as databases). But even in integration tests, the third party code is incidental. For instance, when created integration tests for databases, it's very common to use an embedded or in-memory DB such as SQLite or H2. You want to test integration with third-party modules when it is possible and "cheap", but the highest priorities are testing first-party module integration and having tests than can run fast without requiring a full-fledged replica of our production environment. If I come back to the GP statement "this only works for code you control", they either meant that you can't use this this techniques unit tests of third-party code or that you can't use this technique in integration tests of third-party code. Either way, it doesn't make sense. You cannot and should not unit test code you don't own, and you're not supposed use mocks (like a mocked clock) in integration tests.
- MoreQARespect 3y ago>Yes, integration tests do tend to cover integration with third party libraries and even entire products (such as databases). But even in integration tests, the third party code is incidental. It definitely shouldnt be. At least, not if you want your tests to tell you when upgrading a 3rd party dependency will break something. >For instance, when created integration tests for databases, it's very common to use an embedded or in-memory DB I worked on a project that did this once and they very quickly got blocked writing a test by the in memory database not supporting a feature postgres had. Result? "Oh well, I guess we dont write an automated test for that." Manual QA's problem now. That's slow. Realism matters. Sacrificing realism for speed often means you will get neither. >you're not supposed use mocks (like a mocked clock) I do do this and it usually works well. Why am I wrong?
- ivan_gammel 3y ago>>I worked on a project that did this once and they very quickly got blocked writing a test by the in memory database not supporting a feature postgres had. >Realism matters It is often just a small subset of tests which have to be very expensive to build, maintain and run because of an external dependency that cannot be mocked. Mocks work for 95% of use cases and should be used even if it is not 100%.
- OJFord 3y ago> Testing third-party code is often well within the purview of first-party integration testing. Emphasis mine. Exactly? Not unit testing as OP is about and GP claimed (rightly imo) doesn't cover it. Unless we mean offline integration testing as a mid-tier before system testing; in which case I'd probably mock third party services (and others of my own not under test) personally.
- randomdata 3y agoAssuming 'integration test' is being said under a common definition, and not one being made up on the spot, the integration points don't expose third-party code in way that you could even begin to explicitly test them. it is fundamentally impossible. If it were possible, you would have no reason to be writing software – the third-party already did the work for you.
- OJFord 3y agoI'm not making up anything on the spot, it's massively overloaded/differently used by different people. At it's 'lowest' level it's the integration of multiple units: basically anything that covers multiple functions. The line's also drawn (with the above still being a 'unit test') at the API: so if you exercise your handler code like `views.Widget.post(...)` then it's unit; if you do `requests.post("/api/widget")` it's integration. And at it's 'highest' level it's used to mean system or end to end testing (depending which of those you you use to mean automated testing of a deployed system).
- deleted 3y ago[deleted]
- randomdata 3y ago> At it's 'lowest' level it's the integration of multiple units: basically anything that covers multiple functions. So, testing...? test_unit_1 { assert(foo()) } test_unit_2 { assert(bar()) } That's not a use of 'integration' that anyone would ever find useful. If they do, they must not be software developers. 'Integration' adds nothing. But, if this is the definition you have made up on the spot, then, yes, you could use this to explicitly test a third-party library. It is no surprise that you can explicitly test a third-party library using testing. test_unit_1 { assert(third_party_library.foo()) } But even then, it is not clear why you would meld that into your application's project and not its own project? It has absolutely nothing to do with your first-party application. Logically, that kind of test is best kept in the third-party library's own project. -- Perhaps you misspoke and meant a single unit that covers multiple functions? test_unit_1 { write() assert(read()) } But that is also just testing... As soon as you have internal mutable state (every program that does something; not even the FP diehards are able to completely avoid internal mutable state), you are always going to have to call at least two functions – one to mutate the state, another to observe the state afterwards. Here too, 'integration' adds nothing. There is no practical situation where you would ever communicate this as being distinct from the above. If this is it, it is also clearly made up on the spot. -- The remaining two I guess say something, albeit flimsily, but obviously do not allow explicit testing of third-party code. Take the second case, since it provides some concrete code. Show us how you would update that code to explicitly test some third-party library. Remember that you said it calls "your handler code". I will wait.