twitter-algorithm-ml/machines/get_env.py

39 lines
1.4 KiB
Python

import tml.machines.environment as env
from absl import app, flags
FLAGS = flags.FLAGS
flags.DEFINE_string("property", None, "Which property of the current environment to fetch.")
def main(argv):
if FLAGS.property == "using_dds":
print(f"{env.has_readers()}", flush=True)
if FLAGS.property == "has_readers":
print(f"{env.has_readers()}", flush=True)
elif FLAGS.property == "get_task_type":
print(f"{env.get_task_type()}", flush=True)
elif FLAGS.property == "is_datasetworker":
print(f"{env.is_reader()}", flush=True)
elif FLAGS.property == "is_dds_dispatcher":
print(f"{env.is_dispatcher()}", flush=True)
elif FLAGS.property == "get_task_index":
print(f"{env.get_task_index()}", flush=True)
elif FLAGS.property == "get_dataset_service":
print(f"{env.get_dds()}", flush=True)
elif FLAGS.property == "get_dds_dispatcher_address":
print(f"{env.get_dds_dispatcher_address()}", flush=True)
elif FLAGS.property == "get_dds_worker_address":
print(f"{env.get_dds_worker_address()}", flush=True)
elif FLAGS.property == "get_dds_port":
print(f"{env.get_reader_port()}", flush=True)
elif FLAGS.property == "get_dds_journaling_dir":
print(f"{env.get_dds_journaling_dir()}", flush=True)
elif FLAGS.property == "should_start_dds":
print(env.is_reader() or env.is_dispatcher(), flush=True)
if __name__ == "__main__":
app.run(main)