def get_workflow_jobs_from_parser(workflow):
config_parser = load_parser_with_caller(PinballConfig.PARSER,
PinballConfig.get_parser_params(workflow),
ParserCaller.UI)
tokens = config_parser.get_workflow_tokens(workflow)
jobs_data = []
for token in tokens:
name = Name.from_job_token_name(token.name)
if name.job:
assert name.workflow == workflow
job = pickle.loads(token.data)
jobs_data.append(JobData(workflow=workflow,
instance=None,
job=name.job,
job_type=job.__class__.__name__,
is_condition=job.IS_CONDITION,
info=job.info(),
inputs=job.inputs,
outputs=job.outputs,
emails=job.emails,
max_attempts=job.max_attempts,
retry_delay_sec=job.retry_delay_sec,
warn_timeout_sec=job.warn_timeout_sec,
abort_timeout_sec=job.abort_timeout_sec,
priority=token.priority,
status=Status.NEVER_RUN))
return jobs_data
def _read_tokens_from_parser_params(self,workflow):
"""Read archived job tokens from the PinballConfig.PARSER_PARAMS.
"""
config_parser = load_parser_with_caller(PinballConfig.PARSER,
PinballConfig.get_parser_params(workflow),
ParserCaller.ANALYZER)
tokens = config_parser.get_workflow_tokens(self._workflow)
self._filter_job_tokens(tokens)
def __init__(
self,
next_run_time=None,
recurrence_seconds=None,
overrun_policy=OverrunPolicy.SKIP,
parser_params=None,
workflow=None,
emails=None,
max_running_instances=None):
Schedule.__init__(self, next_run_time, recurrence_seconds,
overrun_policy)
if parser_params is None:
parser_params = PinballConfig.get_parser_params(workflow)
self.parser_params = annotate_parser_caller(
parser_params,
ParserCaller.SCHEDULE)
self.workflow = workflow
self.emails = emails if emails is not None else []
self.max_running_instances = max_running_instances if max_running_instances \
else PinballConfig.DEFAULT_MAX_WORKFLOW_RUNNING_INSTANCES