def _update_dag_tasks(
function_name,
caller_line,
dependencies,
args=None,
template_name=None,
step_name=None,
):
"""
A task in DAG of Argo YAML contains name, related template and parameters.
Here we insert a single task into the global tasks.
"""
if step_name is None:
function_id = utils.invocation_name(function_name, caller_line)
else:
function_id = step_name
task_template = states.workflow.get_dag_task(function_id)
if task_template is None:
task_template = OrderedDict({"name": function_id})
if dependencies is not None and isinstance(dependencies, list):
if "dependencies" in task_template:
task_template["dependencies"].extend(dependencies)
else:
task_template["dependencies"] = dependencies
if template_name is None:
task_template["template"] = function_name
else:
task_template["template"] = template_name
# configure the args
if args is not None:
parameters, artifacts = _get_params_and_artifacts_from_args(
args, function_name, prefix="tasks")
if len(parameters) > 0:
task_template["arguments"] = OrderedDict()
task_template["arguments"]["parameters"] = parameters
if len(artifacts) > 0:
if "arguments" not in task_template:
task_template["arguments"] = OrderedDict()
task_template["arguments"]["artifacts"] = artifacts
else:
# step exist on the dag, thus, we update its dependency
if dependencies is not None:
if "dependencies" in task_template:
task_template["dependencies"].append(dependencies)
else:
task_template["dependencies"] = [dependencies]
states.workflow.update_dag_task(function_id, task_template)
# return the current task name
return function_id
def exec_while(condition, inner_while):
"""
Generate the Argo recursive logic. For example
https://github.com/argoproj/argo/blob/master/examples/README.md#recursion.
"""
# _while_lock means 'exec_while' operation begins to work
# _while_steps stores logic steps inside the recursion logic
states._while_lock = True
# Enforce inner function of the while-loop to run
if callable(inner_while):
branch = inner_while()
if branch is None:
raise SyntaxError("require function return value")
else:
raise TypeError("condition to run would be a function")
branch_dict = output.extract_step_return(branch)
recursive_name = "exec-while-" + branch_dict["name"]
recursive_id = "exec-while-" + branch_dict["id"]
if states.workflow.get_template(recursive_name) is None:
template = Steps(name=recursive_name)
else:
raise SyntaxError("Recursive function can not be called twice ")
# Generate leaving point for recursive
step_out_name = "%s-%s" % (recursive_name, "exit")
pre = condition["pre"]
pre_dict = output.extract_step_return(pre)
condition_suffix = condition["condition"]
# Generate the recursive go to step
when_prefix = "{{steps.%s.%s}} %s %s" % (
branch_dict["id"],
branch_dict["output"],
condition_suffix,
pre_dict["value"],
)
step_out_template = OrderedDict({
"name": step_out_name,
"template": recursive_name,
"when": when_prefix,
})
step_out_id = utils.invocation_name(step_out_name, recursive_id)
states._while_steps[step_out_id] = [step_out_template]
# Add steps inside the recursive logic to recursive template
template.steps = list(states._while_steps.values())
# Add this recursive logic to the templates
states.workflow.add_template(template)
# Add recursive logic to global _steps
recursive_out_step = Step(name=recursive_id, template=recursive_name)
states.workflow.add_step(name=recursive_id, step=recursive_out_step)
states._while_lock = False
states._while_steps = OrderedDict()
def _update_dag_tasks(
function_name,
caller_line,
dependencies,
depends_logic,
args=None,
template_name=None,
step_name=None,
):
"""
A task in DAG of Argo YAML contains name, related template and parameters.
Here we insert a single task into the global tasks.
"""
if step_name is None:
function_id = utils.invocation_name(function_name, caller_line)
else:
function_id = step_name
task_template = states.workflow.get_dag_task(function_id)
if task_template is None:
task_template = OrderedDict({"name": function_id})
if dependencies is not None and isinstance(dependencies, list):
if "dependencies" in task_template:
task_template["dependencies"].extend(dependencies)
else:
task_template["dependencies"] = dependencies
if depends_logic is not None:
task_template["depends"] = depends_logic
if template_name is None:
task_template["template"] = function_name
else:
task_template["template"] = template_name
# configure the args
if args is not None:
parameters, artifacts = _get_params_and_artifacts_from_args(
args, function_name, prefix="tasks")
if len(parameters) > 0:
task_template["arguments"] = OrderedDict()
task_template["arguments"]["parameters"] = parameters
if len(artifacts) > 0:
if "arguments" not in task_template:
task_template["arguments"] = OrderedDict()
task_template["arguments"]["artifacts"] = artifacts
else:
# step exist on the dag, thus, we update its dependency
if dependencies is not None:
if "dependencies" in task_template:
task_template["dependencies"].extend(dependencies)
else:
task_template["dependencies"] = [dependencies]
if depends_logic is not None:
task_template["depends"] = depends_logic
t_name = function_name if template_name is None else template_name
step = Step(name=function_id, template=t_name)
if states._exit_handler_enable:
if states._when_prefix is not None:
step.when = states._when_prefix
if function_id in states.workflow.exit_handler_step:
states.workflow.exit_handler_step.get(function_id).append(
step.to_dict())
else:
states.workflow.exit_handler_step[function_id] = [step.to_dict()]
elif states._when_prefix is not None:
step.when = states._when_prefix
if step.name not in states.workflow.dag_tasks.keys():
step_spec = step.to_dict()
step_spec["dependencies"] = [states._when_task]
states.workflow.dag_tasks[step.name] = step_spec
else:
states.workflow.update_dag_task(function_id, task_template)
# return the current task name
return function_id
def _update_steps(function_name, caller_line, args=None, template_name=None):
"""
A step in Argo YAML contains name, related template and parameters.
Here we insert a single step into the global steps.
"""
function_id = utils.invocation_name(function_name, caller_line)
# Update `steps` only if needed
if states._update_steps_lock:
name = function_id
if states._run_concurrent_lock:
_id = utils.invocation_name(template_name, caller_line)
name = "%s-%s" % (_id, states._concurrent_func_id)
if states._sub_steps is not None:
states._concurrent_func_id = states._concurrent_func_id + 1
t_name = function_name if template_name is None else template_name
step = Step(name=name, template=t_name)
if states._when_prefix is not None:
step.when = states._when_prefix
if args is not None:
parameters, artifacts = _get_params_and_artifacts_from_args(
args,
template_name
if states._run_concurrent_lock else function_name,
prefix="steps",
)
if len(parameters) > 0:
step.arguments = OrderedDict()
step.arguments["parameters"] = parameters
if len(artifacts) > 0:
if step.arguments is None:
step.arguments = OrderedDict()
step.arguments["artifacts"] = artifacts
if states._condition_id is not None:
function_id = states._condition_id
if states._while_lock:
if function_id in states._while_steps:
states._while_steps.get(function_id).append(step.to_dict())
else:
states._while_steps[function_id] = [step.to_dict()]
else:
if states._sub_steps is not None:
if function_id in states._sub_steps:
states._sub_steps.get(function_id).append(step.to_dict())
else:
states._sub_steps[function_id] = [step.to_dict()]
elif states._exit_handler_enable is True:
if function_id in states.workflow.exit_handler_step:
states.workflow.exit_handler_step.get(function_id).append(
step.to_dict())
else:
states.workflow.exit_handler_step[function_id] = [
step.to_dict()
]
else:
states.workflow.add_step(function_id, step)
return step.name
else:
return function_id