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Merge branch 'deeplow-openqa-update'
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@ -242,13 +242,12 @@ class SomeTestCase(unittest.TestCase):
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gc.collect()
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~~~
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## Installation Tests with openQA
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## Automated tests with openQA
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**URL:** <https://openqa.qubes-os.org/>
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**Tests:** <https://github.com/marmarek/openqa-tests-qubesos>
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Manually testing the installation of Qubes OS is a time-consuming process.
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Manually testing Qubes OS and its installation is a time-consuming process.
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We use [OpenQA](http://open.qa/) to automate this process.
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It works by installing Qubes in KVM and interacting with it as a user would, including simulating mouse clicks and keyboard presses.
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Then, it checks the output to see whether various tests were passed, e.g. by comparing the virtual screen output to screenshots of a successful installation.
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@ -258,4 +257,23 @@ KVM also supports nested virtualization, so HVM should theoretically work.
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In practice, however, either Xen or QEMU crashes when this is attempted.
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Nonetheless, PV works well, which is sufficient for automated installation testing.
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Thanks to an anonymous donor, our openQA system is hosted in a datacenter on hardware that meets these requirements.
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Thanks to present and past donors who have provided the infrastructure for Qubes' openQA system with hardware that meets these requirements.
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### Looking for patterns in tests
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In order to better visualize patterns in tests the [`openqa_investigator`](https://github.com/QubesOS/openqa-tests-qubesos/blob/master/utils/openqa_investigator.py) script can be used.
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It feeds off of the openQA test data to make graph plots. Here is an example:
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![openqa-investigator-splitgpg-example.png](/attachment/doc/openqa-investigator-splitgpg-example.png)
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Some outputs:
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- plot by tests
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- plot by errors
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- markdown
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Some filters:
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- filter by error
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- filter by test name
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Check out the script's help with `python3 openqa_investigator.py --help`
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to see all available options.
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