def test_usage_lib_cluster_metadata_generation(monkeypatch, shutdown_only):
with monkeypatch.context() as m:
m.setenv("RAY_USAGE_STATS_ENABLED", "1")
ray.init(num_cpus=0)
"""
Test metadata stored is equivalent to `_generate_cluster_metadata`.
"""
meta = ray_usage_lib._generate_cluster_metadata()
cluster_metadata = ray_usage_lib.get_cluster_metadata(
ray.experimental.internal_kv.internal_kv_get_gcs_client(),
num_retries=20)
# Remove fields that are dynamically changed.
assert meta.pop("session_id")
assert meta.pop("session_start_timestamp_ms")
assert cluster_metadata.pop("session_id")
assert cluster_metadata.pop("session_start_timestamp_ms")
assert meta == cluster_metadata
"""
Make sure put & get works properly.
"""
cluster_metadata = ray_usage_lib.put_cluster_metadata(
ray.experimental.internal_kv.internal_kv_get_gcs_client(),
num_retries=20)
assert cluster_metadata == ray_usage_lib.get_cluster_metadata(
ray.experimental.internal_kv.internal_kv_get_gcs_client(),
num_retries=20)
def test_usage_lib_cluster_metadata_generation(
monkeypatch, ray_start_cluster, reset_lib_usage
):
with monkeypatch.context() as m:
m.setenv("RAY_USAGE_STATS_ENABLED", "1")
m.setenv("RAY_USAGE_STATS_REPORT_URL", "http://127.0.0.1:8000")
cluster = ray_start_cluster
cluster.add_node(num_cpus=0)
ray.init(address=cluster.address)
"""
Test metadata stored is equivalent to `_generate_cluster_metadata`.
"""
meta = ray_usage_lib._generate_cluster_metadata()
cluster_metadata = ray_usage_lib.get_cluster_metadata(
ray.experimental.internal_kv.internal_kv_get_gcs_client(), num_retries=20
)
# Remove fields that are dynamically changed.
assert meta.pop("session_id")
assert meta.pop("session_start_timestamp_ms")
assert cluster_metadata.pop("session_id")
assert cluster_metadata.pop("session_start_timestamp_ms")
assert meta == cluster_metadata
"""
Make sure put & get works properly.
"""
cluster_metadata = ray_usage_lib.put_cluster_metadata(
ray.experimental.internal_kv.internal_kv_get_gcs_client(), num_retries=20
)
assert cluster_metadata == ray_usage_lib.get_cluster_metadata(
ray.experimental.internal_kv.internal_kv_get_gcs_client(), num_retries=20
)
def test_usage_lib_cluster_metadata_generation(shutdown_only):
ray.init(num_cpus=0)
"""
Test metadata stored is equivalent to `_generate_cluster_metadata`.
"""
meta = ray_usage_lib._generate_cluster_metadata()
cluster_metadata = ray_usage_lib.get_cluster_metadata(
ray.experimental.internal_kv.internal_kv_get_gcs_client(),
num_retries=20)
# Session id is random.
meta.pop("session_id")
cluster_metadata.pop("session_id")
assert meta == cluster_metadata
"""
Make sure put & get works properly.
"""
cluster_metadata = ray_usage_lib.put_cluster_metadata(
ray.experimental.internal_kv.internal_kv_get_gcs_client(),
num_retries=20)
assert cluster_metadata == ray_usage_lib.get_cluster_metadata(
ray.experimental.internal_kv.internal_kv_get_gcs_client(),
num_retries=20)