def test_invoke_as_part_of_workflow(self):
resource = get_resource('workflows/three_ops.json')
workflow = Workflow.load(resource)
step = WorkflowStep(workflow, resource, node_id='jojo_87')
workflow = Workflow(
OpMetaInfo('contains_jojo_87',
has_monitor=True,
inputs=OrderedDict(x={}),
outputs=OrderedDict(y={})))
workflow.add_step(step)
step.inputs.p.source = workflow.inputs.x
workflow.outputs.y.source = step.outputs.q
value_cache = ValueCache()
workflow.inputs.x.value = 4
workflow.invoke(context=dict(value_cache=value_cache))
output_value = workflow.outputs.y.value
self.assertEqual(output_value, 2 * (4 + 1) + 3 * (2 * (4 + 1)))
self.assertEqual(
value_cache, {
'jojo_87._child': {
'op1': {
'y': 5
},
'op2': {
'b': 10
},
'op3': {
'w': 40
}
}
})
def test_invoke_as_part_of_workflow(self):
resource = get_resource('workflows/three_ops.json')
workflow = Workflow.load(resource)
step = WorkflowStep(workflow, resource, node_id='jojo_87')
workflow = Workflow(OpMetaInfo('contains_jojo_87',
has_monitor=True,
inputs=OrderedDict(x={}),
outputs=OrderedDict(y={})))
workflow.add_step(step)
step.inputs.p.source = workflow.inputs.x
workflow.outputs.y.source = step.outputs.q
value_cache = ValueCache()
workflow.inputs.x.value = 4
workflow.invoke(context=dict(value_cache=value_cache))
output_value = workflow.outputs.y.value
self.assertEqual(output_value, 2 * (4 + 1) + 3 * (2 * (4 + 1)))
self.assertEqual(value_cache, {'jojo_87._child': {'op1': {'y': 5}, 'op2': {'b': 10}, 'op3': {'w': 40}}})
def test_invoke_with_context_inputs(self):
def some_op(context, workflow, workflow_id, step, step_id, invalid):
return dict(context=context,
workflow=workflow,
workflow_id=workflow_id,
step=step,
step_id=step_id,
invalid=invalid)
from cate.core.op import OP_REGISTRY
try:
op_reg = OP_REGISTRY.add_op(some_op)
op_reg.op_meta_info.inputs['context']['context'] = True
op_reg.op_meta_info.inputs['workflow']['context'] = 'workflow'
op_reg.op_meta_info.inputs['workflow_id'][
'context'] = 'workflow.id'
op_reg.op_meta_info.inputs['step']['context'] = 'step'
op_reg.op_meta_info.inputs['step_id']['context'] = 'step.id'
op_reg.op_meta_info.inputs['invalid']['context'] = 'gnarz[8]'
step = OpStep(op_reg, node_id='test_step')
workflow = Workflow(OpMetaInfo('test_workflow'))
workflow.add_step(step)
workflow.invoke()
output = step.outputs['return'].value
self.assertIsInstance(output, dict)
self.assertIsInstance(output.get('context'), dict)
self.assertIs(output.get('workflow'), workflow)
self.assertEqual(output.get('workflow_id'), 'test_workflow')
self.assertIs(output.get('step'), step)
self.assertEqual(output.get('step_id'), 'test_step')
self.assertEqual(output.get('invalid', 1), None)
finally:
OP_REGISTRY.remove_op(some_op)
def test_invoke_with_context_inputs(self):
def some_op(context, workflow, workflow_id, step, step_id, invalid):
return dict(context=context,
workflow=workflow,
workflow_id=workflow_id,
step=step,
step_id=step_id,
invalid=invalid)
from cate.core.op import OP_REGISTRY
try:
op_reg = OP_REGISTRY.add_op(some_op)
op_reg.op_meta_info.inputs['context']['context'] = True
op_reg.op_meta_info.inputs['workflow']['context'] = 'workflow'
op_reg.op_meta_info.inputs['workflow_id']['context'] = 'workflow.id'
op_reg.op_meta_info.inputs['step']['context'] = 'step'
op_reg.op_meta_info.inputs['step_id']['context'] = 'step.id'
op_reg.op_meta_info.inputs['invalid']['context'] = 'gnarz[8]'
step = OpStep(op_reg, node_id='test_step')
workflow = Workflow(OpMetaInfo('test_workflow'))
workflow.add_step(step)
workflow.invoke()
output = step.outputs['return'].value
self.assertIsInstance(output, dict)
self.assertIsInstance(output.get('context'), dict)
self.assertIs(output.get('workflow'), workflow)
self.assertEqual(output.get('workflow_id'), 'test_workflow')
self.assertIs(output.get('step'), step)
self.assertEqual(output.get('step_id'), 'test_step')
self.assertEqual(output.get('invalid', 1), None)
finally:
OP_REGISTRY.remove_op(some_op)
