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59 lines
2.2 KiB
Plaintext
59 lines
2.2 KiB
Plaintext
from wa import Parameter, UiautoWorkload
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class ${class_name}(UiautoWorkload):
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name = '${name}'
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description = "This is an placeholder description"
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# Replace with a list of supported package names from the APK file(s)
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package_names = ['package_name']
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parameters = [
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# Workload parameters go here e.g.
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Parameter('example_parameter', kind=int, allowed_values=[1,2,3],
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default=1, override=True, mandatory=False,
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description='This is an example parameter')
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]
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def __init__(self, target, **kwargs):
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super(${class_name}, self).__init__(target, **kwargs)
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# Define any additional attiributes required for the workload
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def init_resources(self, context):
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super(${class_name}, self).init_resources(context)
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# This method may be used to perform early resource discovery and
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# initialization. This is invoked during the initial loading stage and
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# before the device is ready, so cannot be used for any device-dependent
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# initialization. This method is invoked before the workload instance is
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# validated.
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def initialize(self, context):
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super(${class_name}, self).initialize(context)
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# This method should be used to perform once-per-run initialization of a
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# workload instance.
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def validate(self):
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super(${class_name}, self).validate(context)
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# Validate inter-parameter assumptions etc
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def setup(self, context):
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super(${class_name}, self).setup(context)
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# Perform any necessary setup before starting the UI automation
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def run(self, context):
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super(${class_name}, self).run(context)
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# Perform the main functionality of the workload
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def extract_results(self, context):
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super(${class_name}, self).extract_results(context)
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# Extract results on the target
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def update_output(self, context):
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super(${class_name}, self).update_output(context)
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# Update the output within the specified execution context with the
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# metrics and artifacts form this workload iteration.
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def teardown(self, context):
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super(${class_name}, self).teardown(context)
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# Perform any final clean up for the Workload.
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