def execute_requests(
requests: Iterable[Tuple[Any, ht.JobSpec, Any]],
count: Optional[int] = None,
num_retries: Optional[int] = None,
) -> None:
"""Execute all batches in the supplied generator of batch requests. Results
aren't returned directly; the callbacks passed to each request when it was
generated handle any response or exception.
"""
with u.tqdm_logging() as orig_stream:
pbar = tqdm.tqdm(
requests,
file=orig_stream,
total=count,
unit="requests",
desc="submitting",
ascii=True,
)
for req, spec, cb in pbar:
pbar.set_description(f'Submitting {spec.spec["jobId"]}')
execute(req, cb, num_retries=num_retries)
def execute_jobs(
job_specs: Iterable[JobSpec],
dry_run: bool = False,
):
'''executes a sequence of jobs based on job specs
Arg:
job_specs: specifications for jobs to be executed
dry_run: if True, only print what would be done
'''
with u.tqdm_logging() as orig_stream:
pbar = tqdm.tqdm(logged_job_specs(job_specs),
file=orig_stream,
total=len(job_specs),
ascii=True,
unit="experiment",
desc="Executing")
for idx, job_spec in enumerate(pbar, 1):
command = job_spec.spec['command']
logging.info(f'Running command: {" ".join(command)}')
if not dry_run:
_, ret_code = u.capture_stdout(command, "",
u.TqdmFile(sys.stderr))
else:
ret_code = 0
j = Job(spec=job_spec,
container=job_spec.spec['container'],
details={'ret_code': ret_code},
status=JobStatus.SUCCEEDED
if ret_code == 0 else JobStatus.FAILED)
local_callback(idx=idx, job=j)
if dry_run:
logging.info(
t.yellow(f'\nTo build your image and execute these jobs, '
f'run your command again without {c.DRY_RUN_FLAG}\n'))
return None