I'd like to split my integration tests into multiple files (because it's getting long). This can be easily done:
/tests/
/data/ // <- dataset for testing
a_tests.rs // <- this contains "common" functions which I'd like to use in b_tests.rs
b_tests.rs
However, a_tests.rs contains some functions which I'd like to use in b_tests.rs. For example a common Lazy once_cell which reads the data file only once. And also a fn common_func(_) which does assertion based on numerical comparisons of the results.
So how do I import objects from a_tests.rs in b_tests.rs?
Per the Rust documentation on integration tests each file in the tests directory is compiled into a separate crate, but:
Files in subdirectories of the tests directory don’t get compiled as separate crates or have sections in the test output.
So you can have this file structure:
/tests/
/common/
mod.rs
/data/
a_tests.rs
b_tests.rs
Then move your shared functions from a_tests.rs into common/mod.rs and you can import them into a_tests.rs and b_tests.rs via mod common;
Related
I have a question about generating code coverage in Go(lang) projects.I have this simple structure:
ROOT/
config/
handlers/
lib/
models/
router/
main.go
config contains configuration in JSON and one simple config.go that reads and parses JSON file and fills the Config struct which is used then when initializing DB connection. handlers contains controllers (i.e. handlers of respective METHOD+URL described in router/routes.go). lib contains some DB, request responder and logger logic. models contains structs and their funcs to be mapped from-to JSON and DB. Finally router contains the router and routes definition.
Basically just by testing one single handler I ensure that my config, logger, db, responder, router and corresponding model are invoked (and tested somehow as well).
Now if this would be a PHP or Java or I don't know what else language, having and running that single handler test would create a code coverage also for all other invoked parts of code even if they are in different folders (i.e. packages here). Unfortunately, this is not the case in Go.
And there is very little code in most of my lib files having just one method (like InitDB() or ReadConfig() or NewRouter() or Logger()) so to be able to have code coverage for them I have to create stupid tests in these packages as well while they were already invoked and tested by testing the main URLs handling packages.
Is there any way how to get code coverage from packages also for included other packages within one project?
You can import your packages within a single test and write tests for them based on how they'll be used within your application. For example, you can have one test, main_test.go which imports all the other packages, and then you write tests for the methods in the imported packages.
Like this (in main_test.go):
package main
import (
"testing"
"lib"
"models"
"handlers"
// etc
)
// testing code here
However, in my personal opinion, it might be better to make sure that each package does what it should and that only. The best way to do that, is by testing the individual package itself, with its own test suite.
My services.js file was getting quite large so I decided it'd be best to split out the individual services into separate files (service1.js, service2.js, etc).
Unfortunately, this broke all my unit tests. I'm no longer able to import the service dependencies into my tests. I'm seeing errors like this when I run my unit tests:
Error: [$injector:unpr] Unknown provider: Service1Provider <- Service1
I can't find any article on the web that addresses these issues. My app structure is pretty standard and OOTB, nothing really different from angular-seed (except of course the separate files for each service).
Please let me know if you need more info.
I currently work with #mtical, and it turns out the error was indeed in karma.conf.js. As he said, we broke apart our services into multiple files, and our main service file was named "service.js". By default, karma loads all js files that are not explicitly listed in the karma.conf.js file in recursive alphabetical order.
This was causing our "service.js" file to be loaded after all of our other service files, which were listed before that file when in alphabetical order. Unfortunately, all of those other services had "service.js" as a dependency, so when our tests ran, they weren't able to find the services we needed.
The solution was to explicitly list "service.js" before the recursive loading of other files in our karma.conf.js file, as follows:
...
files : [
'app/lib/angular/angular.js',
'app/lib/angular/angular-*.js',
'test/lib/angular/angular-mocks.js',
'app/js/services/services.js',
'app/js/**/*.js',
'test/unit/**/*.js'
],
...
I need to write unit tests for an existing Java REST server.
The GET methods are very similar and I am thinking that I can write a small unit test generator that will use reflection to introspect the GET methods and the POJOs they consume to generate (boilerplate) unit tests.
Each test will be generated with a small syntax error so that they cannot be run as is, but must be examined by a developer and the syntax error corrected. I am hoping that this will as least assure that the tests are sane and look reasonable.
The generator will be run from the command line, passing in the class-under-test, the output directory for the unit tests, etc.
I don't want the class files for the generator to be added to the WAR file, but the generator needs to have access to the class files for the REST server.
My project directory is a "standard" Maven hierarchy: project/src/main/java, project/target, etc.
Where is the best place to put the generator source code? Under project/src/main/java? Under project/src/generator/java? Somewhere else?
I know how to exclude the generated class files from the WAR file if they all are included under a specific package (e.g. com.example.unit_test_generator).
This scenario sound like a maven-plugin to me. Furthermore the usual place for generated code is under target/generated... which means target folder ...take a look at maven-antlr3-plugin or maven-jaxb-plugin to see where they usually put generated code into. Never put generated code into src/ structure...But may be you have to change the location and to put into project/src/main/ ...But if these classes are some kind of tests the have to be located under project/src/test instead.
I just started writing tests for a lot of code. There's a bunch of classes with dependencies to the file system, that is they read CSV files, read/write configuration files and so on.
Currently the test files are stored in the test directory of the project (it's a Maven2 project) but for several reasons this directory doesn't always exist, so the tests fail.
Do you know best practices for coping with file system dependencies in unit/integration tests?
Edit: I'm not searching an answer for that specific problem I described above. That was just an example. I'd prefer general recommendations how to handle dependencies to the file system/databases etc.
First one should try to keep the unit tests away from the filesystem - see this Set of Unit Testing Rules. If possible have your code working with Streams that will be buffers (i.e. in memory) for the unit tests, and FileStream in the production code.
If this is not feasible, you can have your unit tests generates the files they need. This makes the test easy to read as everything is in one file. This may also prevent permissions problem.
You can mock the filesystem/database/network access in your unit tests.
You can consider the unit tests that rely on DB or file systems as integration tests.
Dependencies on the filesystem come in two flavours here:
files that your tests depend upon; if you need files to run the test, then you can generate them in your tests and put them in a /tmp directory.
files that your code is dependent upon: config files, or input files.
In this second case, it is often possible to re-structure your code to remove dependency on a file (e.g. java.io.File can be replaced with java.io.InputStream and java.io.OutputStream, etc.) This may not be possible of course.
You may also need to handle 'non-determinism' in the filesystem (I had a devil of a job debugging something on an NFS once). In this case you should probably wrap the file system in a thin interface.
At its simplest, this is just helper methods that take a File and forward the call onto that file:
InputStream getInputStream(File file) throws IOException {
return new FileInputStream(file);
}
You can then replace this one with a mock which you can direct to throw the exception, or return a ByteArrayInputStream, or whatever.
The same can be said for URLs and URIs.
There are two options for testing code that needs to read from files:
Keep the files related to the unit tests in source control (e.g. in a test data folder), so anyone who gets the latest and runs the tests always has the relevant files in a known folder relative to the test binaries. This is probably the "best practice".
If the files in question are huge, you might not want to keep them in source control. In this case, a network share that is accessible from all developer and build machines is probably a reasonable compromise.
Obviously most well-written classes will not have hard dependencies on the file system in the first place.
Usually, file system tests aren't very critical: The file system is well understood, easy to set up and to keep stable. Also, accesses are usually pretty fast, so there is no reason per se to shun it or to mock the tests.
I suggest that you find out why the directory doesn't exist and make sure that it does. For example, check the existence of a file or directory in setUp() and copy the files if the check fails. This only happens once, so the performance impact is minimal.
Give the test files, both in and out, names that are structurally similar to the unit test name.
In JUnit, for instance, I'd use:
File reportFile = new File("tests/output/" + getClass().getSimpleName() + "/" + getName() + ".report.html");
I'm working on a C++ library that (among other stuff) has functions to read config files; and I want to add tests for this. So far, this has lead me to create lots of valid and invalid config files, each with only a few lines that test one specific functionality. But it has now got very unwieldy, as there are so many files, and also lots of small C++ test apps. Somehow this seems wrong to me :-) so do you have hints how to organise all these tests, the test apps, and the test data?
Note: the library's public API itself is not easily testable (it requires a config file as parameter). The juicy, bug-prone methods for actually reading and interpreting config values are private, so I don't see a way to test them directly?
So: would you stick with testing against real files; and if so, how would you organise all these files and apps so that they are still maintainable?
Perhaps the library could accept some kind of stream input, so you could pass in a string-like object and avoid all the input files? Or depending on the type of configuration, you could provide "get/setAttribute()" functions to directly, publicy, fiddle the parameters. If that is not really a design goal, then never mind. Data-driven unit tests are frowned upon in some places, but it is definitely better than nothing! I would probably lay out the code like this:
project/
src/
tests/
test1/
input/
test2
input/
In each testN directory you would have a cpp file associated to the config files in the input directory.
Then, assuming you are using an xUnit-style test library (cppunit, googletest, unittest++, or whatever) you can add various testXXX() functions to a single class to test out associated groups of functionality. That way you could cut out part of the lots-of-little-programs problem by grouping at least some tests together.
The only problem with this is if the library expects the config file to be called something specific, or to be in a specific place. That shouldn't be the case, but if it is would have to be worked around by copying your test file to the expected location.
And don't worry about lots of tests cluttering your project up, if they are tucked away in a tests directory then they won't bother anyone.
Part 1.
As Richard suggested, I'd take a look at the CPPUnit test framework. That will drive the location of your test framework to a certain extent.
Your tests could be in a parallel directory located at a high-level, as per Richard's example, or in test subdirectories or test directories parallel with the area you want to test.
Either way, please be consistent in the directory structure across the project! Especially in the case of tests being contained in a single high-level directory.
There's nothing worse than having to maintain a mental mapping of source code in a location such as:
/project/src/component_a/piece_2/this_bit
and having the test(s) located somewhere such as:
/project/test/the_first_components/connection_tests/test_a
And I've worked on projects where someone did that!
What a waste of wetware cycles! 8-O Talk about violating the Alexander's concept of Quality Without a Name.
Much better is having your tests consistently located w.r.t. location of the source code under test:
/project/test/component_a/piece_2/this_bit/test_a
Part 2
As for the API config files, make local copies of a reference config in each local test area as a part of the test env. setup that is run before executing a test. Don't sprinkle copies of config's (or data) all through your test tree.
HTH.
cheers,
Rob
BTW Really glad to see you asking this now when setting things up!
In some tests I have done, I have actually used the test code to write the configuration files and then delete them after the test had made use of the file. It pads out the code somewhat and I have no idea if it is good practice, but it worked. If you happen to be using boost, then its filesystem module is useful for creating directories, navigating directories, and removing the files.
I agree with what #Richard Quirk said, but also you might want to make your test suite class a friend of the class you're testing and test its private functions.
For things like this I always have a small utility class that will load a config into a memory buffer and from there it gets fed into the actually config class. This means the real source doesn't matter - it could be a file or a db. For the unit-test it is hard coded one in a std::string that is then passed to the class for testing. You can simulate currup!pte3d data easily for testing failure paths.
I use UnitTest++. I have the tests as part of the src tree. So:
solution/project1/src <-- source code
solution/project1/src/tests <-- unit test code
solution/project2/src <-- source code
solution/project2/src/tests <-- unit test code
Assuming that you have control over the design of the library, I would expect that you'd be able to refactor such that you separate the concerns of actual file reading from interpreting it as a configuration file:
class FileReader reads the file and produces a input stream,
class ConfigFileInterpreter validates/interprets etc. the contents of the input stream
Now to test FileReader you'd need a very small number of actual files (empty, binary, plain text etc.), and for ConfigFileInterpreter you would use a stub of the FileReader class that returns an input stream to read from. Now you can prepare all your various config situations as strings and you would not have to read so many files.
You will not find a unit testing framework worse than CppUnit. Seriously, anybody who recommends CppUnit has not really taken a look at any of the competing frameworks.
So yes, go for a unit testing franework, but do not use CppUnit.