153 lines
5.2 KiB
Markdown
153 lines
5.2 KiB
Markdown
# Running All Unit Tests
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Since it is non-trivial to setup all dependencies for our unit testing suite,
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we provide a docker image that bundles all of them into one container, both
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phpunit for PHP and mocha for JS.
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You can fetch and run the image from the docker hub like this:
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```console
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docker run --rm --read-only -v ~/PrivateBin:/srv:ro privatebin/unit-testing
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```
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The parameters in detail:
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- `-v ~/PrivateBin:/srv:ro` - Replace `~/PrivateBin` with the location of
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the checked out PrivateBin repository on your machine. It is recommended to
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mount it read-only, which guarantees that your repository isn't damaged by
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an accidentally destructive test case in it.
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- `--read-only` - This image supports running in read-only mode. Only /tmp
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may be written into.
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- `-rm` - Remove the container after the run. This saves you doing a cleanup
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on your docker environment, if you run the image frequently.
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You can also run just the php and javascript test suites instead of both:
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```console
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docker run --rm --read-only -v ~/PrivateBin:/srv:ro privatebin/unit-testing phpunit
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docker run --rm --read-only -v ~/PrivateBin:/srv:ro privatebin/unit-testing mocha
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```
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We also provide a Janitor image that includes the Cloud9 and Theia WebIDEs as
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well as the integrated unit testing utilities. See our [docker wiki
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page](https://github.com/PrivateBin/PrivateBin/wiki/Docker#janitor-image-with-cloud9-and-theia-webide-janitortechnologyprivatebin)
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for further details on this.
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## Running PHP Unit Tests
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In order to run these tests, you will need to install the following packages
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and their dependencies:
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* phpunit
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* php-gd
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* php-sqlite3
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* php-xdebug (for code coverage reports)
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Example for Debian and Ubuntu:
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```console
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$ sudo apt install phpunit php-gd php-sqlite3 php-xdebug
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```
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To run the tests, change into the `tst` directory and run phpunit:
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```console
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$ cd PrivateBin/tst
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$ phpunit
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```
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Additionally there is the `ConfigurationTestGenerator`. Based on the
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configurations defined in its constructor, it generates the unit test file
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`tst/ConfigurationCombinationsTest.php`, containing all possible combinations
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of these configurations and tests for (most of the) valid combinations. Some of
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combinations can't be tested with this method, i.e. a valid option combined with
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an invalid one. Other very specific test cases (i.e. to trigger multiple errors)
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are covered in `tst/PrivateBinTest.php`. Here is how to generate the
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configuration test and run it:
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```console
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$ cd PrivateBin/tst
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$ php ConfigurationTestGenerator.php
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$ phpunit ConfigurationCombinationsTest.php
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```
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Note that it can take an hour or longer to run the several thousand tests.
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## Running JavaScript Unit Tests
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In order to run these tests, you will need to install the following packages
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and its dependencies:
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* npm
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Then you can use the node package manager to install the latest stable release
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of mocha and nyc (for code coverage reports) globally and jsVerify, jsdom
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and jsdom-global locally:
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```console
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$ npm install -g mocha nyc
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$ cd PrivateBin/js
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$ npm install
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```
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Example for Debian and Ubuntu, including steps to allow the current user to
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install node modules globally:
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```console
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$ sudo apt install npm
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$ sudo mkdir /usr/local/lib/node_modules
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$ sudo chown -R $(whoami) $(npm config get prefix)/{lib/node_modules,bin,share}
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$ ln -s /usr/bin/nodejs /usr/local/bin/node
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$ npm install -g mocha nyc
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$ cd PrivateBin/js
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$ npm install
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```
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To run the tests, just change into the `js` directory and run nyc (will produce
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coverage report) or just mocha:
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```console
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$ cd PrivateBin/js
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$ nyc mocha
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```
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### Property Based Unit Testing
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In the JavaScript unit tests we use the JSVerify library to leverage property
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based unit testing. Instead of artificially creating specific test cases to
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cover all relevant paths of the tested code (with the generated coverage reports
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providing means to check the tested paths), property based testing allows us to
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describe the patterns of data that are valid input.
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With each run of the tests, for each `jsc.property` 100 random inputs are
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generated and tested. For example we tell the test to generate random strings,
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which will include empty strings, numeric strings, long strings, unicode
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sequences, etc. This is great for finding corner cases that one might not think
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of when explicitly writing one test case at a time.
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There is another benefit, too: When an error is found, JSVerify will try to find
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the smallest, still failing test case for you and print this out including the
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associated random number generator (RNG) state, so you can reproduce it easily:
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```console
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[...]
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30 passing (3s)
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1 failing
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1) Helper getCookie returns the requested cookie:
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Error: Failed after 30 tests and 11 shrinks. rngState: 88caf85079d32e416b; Counterexample: ["{", "9", "9", "YD8%fT"]; [" ", "_|K:"];
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[...]
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```
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Of course it may just be that you need to adjust a test case if the random
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pattern generated is ambiguous. In the above example the cookie string would
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contain two identical keys "9", something that may not be valid, but that our
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code could encounter and needs to be able to handle.
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After you adjusted the code of the library or the test you can rerun the test
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with the same RNG state as follows:
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```console
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$ nyc mocha test --jsverifyRngState 88caf85079d32e416b
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```
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