This is the documentation for declarative scheduling of test modules which allows testers to schedule existing test modules in a more flexible way replacing main.pm mechanism. However it is still work-in-progress due to it missing some features to be a full working solution to replace it.
Declarative schedule is using a YAML file to specify all the information related with a test suite:
- Test suite name and description
- Test variables
- Sequence of test modules
Prerequisites to use this mechanism are the following:
The file to be created should look as follows:
name: test_suite_name
description: >
Test suite description.
Further info about the test suite
vars:
setting1_string: value1
setting2_num: 2
setting3_string: value3
...
conditional_schedule:
module1:
VAR1:
<valueA>:
- path/to/module/moduleA1
- path/to/module/moduleA2
<valueB>:
- path/to/module/moduleB1
...
schedule:
- '{{module1}}'
- path/to/module/module2
...
test_data:
list:
- item1
- item2
hash:
key1: value1
key2: value2
Previous structure contains the following sections:
Name of the test suite
Description of the test suite.
Most of your settings could be migrated from openQA WebUI to this declarative way, for instance:
BOOTFROM: c
BOOT_HDD_IMAGE: 1
There are a few exceptions:
DESKTOP
: it produces wrong .json in openQA WebUIHDD_1
: if added, openQA will not publish the image in openQA WebUI due to it depends on os-autoinst.START_AFTER_TEST
: if added, openQA will not link dependencies on the corresponding tab in openQA WebUI due to it depends on os-autoinst.UEFI_PFLASH_VARS
: if added, openQA will not publish in UI
Depending on different values of an environmental variable we can schedule different set of modules. For instance, depending on the value of DISTRI setting we can schedule an ordered sequence of different tests for openSUSE or SLE.
conditional_schedule:
addons_repos:
DISTRI:
opensuse:
- installation/online_repos
- installation/installation_mode
- installation/logpackages
sle:
- installation/scc_registration
- installation/addon_products_sle
- installation/addon_products_sle
Refers to a sequence of test modules to be executed in the test suite. For the moment it was chosen this format '{{...}}''
to indicate that the module or modules executed at this position is conditional to some variable as described in conditional_schedule.
NOTE: Please, do not forget to wrap conditional schedule in quotes as {
and }
are special symbols and can affect parsing.
NOTE:
- conditional_schedule does not allow at the moment to represent complex logic like combination of 'and' or 'or' and it does intend to do it due to potentially it would create the same problem that occurs with main.pm. Other kind of logic like a simple exclusion list could be feasible in the near future, for example "run for all except when this variable value is set to some specific value". Reusing of blocks needs to be re-thinked as well and what would be a readable syntax for this. At the moment if the scenario you intend to migrate has complex conditional logic it would require changes in your test modules.
- Nested conditional schedules (eg. referencing another conditional schedule from within a conditional schedule) are possible now.
- The only section that is mandatory is schedule. The rest of the sections in the YAML file can be skipped.
As vars.json has quite limited capabilities due to the design, in the yaml files
it's possible to define any structure, which can be described using plain yaml
format. This data can be accessed when calling get_test_suite_data()
method from lib/scheduler.pm
. This feature is designed to store test related
data for data driven tests and provide better structure for the test suite settings.
The whole section is parsed with perl structures, so in case you have following settings:
...
test_data:
list:
- item1
- item2
hash:
key1: value1
key2: value2
...
Your test code will look like:
sub run {
my $test_data = get_test_suite_data();
foreach my $item (@{$test_data->{list}}) {
diag $item;
}
while (($key, $value) = each (%{$test_data->{hash}})) {
diag "$key: $value";
}
}
Besides having the whole data in the same yaml file for scheduling, it is possible to import some parts of it. YAML::PP::Schema::Include and YAML::PP::Schema::Merge are used for this purpose.
Please see the example for test_data
below (which also can be applied to other sections):
For instance, there is a test data file named scenario_name_test_data.yaml
containing data as follows:
disks:
- name: vda
partitions:
- size: 2mb
...
And it is possible to include that data into scenario_name.yaml
using <<:
(merge feature) and !include
with the path to the file:
name: scenario_name_test_data.yaml
description: >
...
vars:
...
schedule:
- path/to/module
...
test_data:
<<: !include schedule/path/to/scenario_name_test_data.yaml
- it is allowed to use multiple
!include
in yaml scheduling file. For example:
...
test_data:
<<: !include path/to/first_test_data.yaml
<<: !include path/to/second_test_data.yaml
- included data can be mixed with the test data that is defined in scheduling file directly:
IMPORTANT: Test data in scheduling file has priority over the same data from the imported file (i.e. it allows to override imported data). Latest included data has priority over previous included data.
...
test_data:
disks:
- name: vdb
partitions:
- size: 3mb
<<: !include path/to/test_data.yaml
Test data sometimes is more related to a particular schedule, sometimes
to other test data shared with other test suites and sometimes it is a mix.
In those cases, YAML_TEST_DATA
setting can be used to give us the flexibility
to avoid duplicate schedule files just because they have different data and due
to it will be pointing to a test data file. Only for this particular case,
the possibility to use $include
functionality in test data file is allowed. For instance:
In your yaml for your Job Group configuration for one product you could have:
- test_suite_name:
machine: 64bit
priority: 30
settings:
YAML_SCHEDULE: schedule/path/to/schedule.yaml
YAML_TEST_DATA=path/to/test_data_product_A.yaml
And for the other product and the same test suite:
- test_suite_name:
machine: 64bit
priority: 30
settings:
YAML_SCHEDULE: schedule/path/to/schedule.yaml
YAML_TEST_DATA=path/to/test_data_product_B.yaml
In one of those data file we could find:
disks:
- name: vda
partitions:
- size: 2mb
<<: !include path/to/test_data/shared/among/test_suites.yaml
...
In the other data file we could have:
disks:
- name: vdb
partitions:
- size: 5mb
<<: !include path/to/test_data/shared/among/test_suites.yaml
...
IMPORTANT: Test data from data file only when
YAML_TEST_DATA
is used has priority overtest_data
from schedule file. Test data in data file has priority over the same data from the imported file (i.e. it allows to override imported data). Latest included data has priority over previous included data in test data file.
Additionally in the test_data structure for your scenario you can expand variables from vars.json, for instance:
test_data:
repos:
- name: SLES-%VERSION%
alias: SLES
enabled: No
It is required to add in openQA WebUI in the test suite configuration a new setting YAML_SCHEDULE
pointing to .yaml file path, for instance:
YAML_SCHEDULE=schedule/test-suite-name.yaml
This functionality needs to be imported in corresponding main.pm for your product.
Only if YAML_SCHEDULE
setting is set, information contained in .yaml file will be loaded and
execution of main.pm will be exited earlier and in turn the old main.pm mechanism will not be executed.
It is recommended to call the function after all variables have been set in main.pm.
use scheduler 'load_yaml_schedule';
...
return 1 if load_yaml_schedule;
Due to the fact that different backends need extra steps and that we want to abstract from the details, we might want to use single scenario even when there are distinct. For example, RAID 0 on UEFI will require different partitioning then in case of legacy boot. Since we got Job template YAML feature, we can easily manage small and big discrepancies.
Consider example with RAID 0, assume we have multiple architectures to test on, then our scenarios section can look like following:
scenarios:
aarch64:
medium:
- RAID0:
settings:
YAML_SCHEDULE: schedule/yast/raid/raid0_sle_gpt_uefi.yaml
ppc64le:
medium:
- RAID0:
settings:
YAML_SCHEDULE: schedule/yast/raid/raid0_sle_gpt_prep_boot.yaml
ppc64le:
medium:
- RAID0:
settings:
YAML_SCHEDULE: schedule/yast/raid/raid0_sle_gpt_prep_boot.yaml
x86_64:
medium:
- RAID0_gpt:
settings:
YAML_SCHEDULE: schedule/yast/raid/raid0_sle_gpt.yaml
You have differences due to backend implementation? Not a problem, you can override settings per machine:
scenarios:
x86_64:
medium:
- minimal+base_yast:
machine: 64bit
settings:
YAML_SCHEDULE: schedule/yast/minimal+base/[email protected]
- minimal+base_yast:
machine: svirt-xen-hvm
settings:
YAML_SCHEDULE: schedule/yast/minimal+base/[email protected]
- minimal+base_yast:
machine: svirt-hyperv
settings:
YAML_SCHEDULE: schedule/yast/minimal+base/[email protected]
And on top of that you can use aliases to avoid duplication. For more details, check output official documentation of openQA
Even if you don't intend to migrate your scenario right now, you can play with it for debugging proposes. Instead of relying in the complex path of execution that main.pm creates, if you just need to put some test in some particular order, perhaps a new scenario you just created, you can speed up your development using this approach.