def test_pipeline_get_act_inputs(self):
parser_obj = WebPipelineAdapter(WEB_PIPELINE_WITH_SUB_PROCESS2)
act_inputs = parser_obj.get_act_inputs(id_list2[3], [id_list2[10]])
self.assertEqual(act_inputs, {
'input_test': 'custom2',
'radio_test': '1',
})
def _prerender_node_data(
self, pipeline_instance: PipelineInstance, subprocess_stack: List[str], username: str
) -> (bool, str, dict, dict):
try:
inputs = WebPipelineAdapter(pipeline_instance.execution_data).get_act_inputs(
act_id=self.node_id,
subprocess_stack=subprocess_stack,
root_pipeline_data=get_pipeline_context(
pipeline_instance, obj_type="instance", data_type="data", username=username
),
root_pipeline_context=get_pipeline_context(
pipeline_instance, obj_type="instance", data_type="context", username=username
),
)
outputs = {}
except Exception:
logger.exception(
"_prerender_node_data(node_id:{}, subprocess_stack:{}, username: {}) fail".format(
self.node_id, subprocess_stack, username
)
)
return False, "_prerender_node_data fail", {}, {}
if not isinstance(inputs, dict):
inputs = {}
return True, "", inputs, outputs
def test_web_pipeline_parser2(self):
parser_obj = WebPipelineAdapter(WEB_PIPELINE_WITH_SUB_PROCESS2)
self.assertIsInstance(parser_obj.parse(), Pipeline)
def test_web_pipeline_parser(self):
parser_obj = WebPipelineAdapter(WEB_PIPELINE_DATA)
self.assertIsInstance(parser_obj.parse(), Pipeline)
def get_node_data(self,
node_id,
component_code=None,
subprocess_stack=None):
if not self.has_node(node_id):
message = 'node[node_id={node_id}] not found in task[task_id={task_id}]'.format(
node_id=node_id, task_id=self.id)
return {'result': False, 'message': message, 'data': {}}
act_started = True
result = True
inputs = {}
outputs = {}
try:
inputs = pipeline_api.get_inputs(node_id)
outputs = pipeline_api.get_outputs(node_id)
except Data.DoesNotExist:
act_started = False
instance_data = self.pipeline_instance.execution_data
if not act_started:
try:
inputs = WebPipelineAdapter(instance_data).get_act_inputs(
act_id=node_id,
subprocess_stack=subprocess_stack,
root_pipeline_data=get_pipeline_context(
self.pipeline_instance, 'instance'))
outputs = {}
except Exception as e:
inputs = {}
result = False
message = 'parser pipeline tree error: %s' % e
logger.exception(message)
outputs = {'ex_data': message}
if component_code:
outputs_table = []
try:
component = library.ComponentLibrary.get_component_class(
component_code)
outputs_format = component.outputs_format()
except Exception as e:
result = False
message = 'get component[component_code=%s] format error: %s' % (
component_code, e)
logger.exception(message)
outputs = {'ex_data': message}
else:
outputs_data = outputs.get('outputs', {})
# 在原子定义中的预设输出参数
archived_keys = []
for outputs_item in outputs_format:
value = outputs_data.get(outputs_item['key'], '')
outputs_table.append({
'name': outputs_item['name'],
'key': outputs_item['key'],
'value': value,
'preset': True,
})
archived_keys.append(outputs_item['key'])
# 其他输出参数
for out_key, out_value in outputs_data.items():
if out_key not in archived_keys:
outputs_table.append({
'name': out_key,
'key': out_key,
'value': out_value,
'preset': False,
})
else:
outputs_table = [{
'key': key,
'value': val,
'preset': False
} for key, val in outputs.get('outputs', {}).items()]
if not isinstance(inputs, dict):
inputs = {}
if not isinstance(outputs, dict):
outputs = {}
data = {
'inputs': inputs,
'outputs': outputs_table,
'ex_data': outputs.pop('ex_data', '')
}
return {
'result': result,
'data': data,
'message': '' if result else data['ex_data']
}
