def test_update_with_resources(self, client, created_endpoints,
experiment_run, model_for_deployment):
endpoint_name = _utils.generate_default_name()
endpoint = client.set_endpoint(endpoint_name)
created_endpoints.append(endpoint)
original_status = endpoint.get_status()
original_build_ids = get_build_ids(original_status)
experiment_run.log_model(model_for_deployment['model'],
custom_modules=[])
experiment_run.log_requirements(['scikit-learn'])
resources = '{"cpu": 0.25, "memory": "100M"}'
runner = CliRunner()
result = runner.invoke(
cli,
[
'deployment', 'update', 'endpoint', endpoint_name, '--run-id',
experiment_run.id, "-s", "direct", '--resources', resources
],
)
assert not result.exception
resources_dict = Resources._from_dict(json.loads(
resources))._as_dict() # config is `cpu`, wire is `cpu_millis`
assert endpoint.get_update_status(
)['update_request']['resources'] == resources_dict
def test_update_from_json_config_with_params(self, client, in_tempdir, created_entities, experiment_run, model_for_deployment):
yaml = pytest.importorskip("yaml")
experiment_run.log_model(model_for_deployment['model'], custom_modules=[])
experiment_run.log_environment(Python(['scikit-learn']))
path = verta._internal_utils._utils.generate_default_name()
endpoint = client.set_endpoint(path)
created_entities.append(endpoint)
original_status = endpoint.get_status()
original_build_ids = get_build_ids(original_status)
# Creating config dict:
config_dict = {
"run_id": experiment_run.id,
"strategy": "direct",
"autoscaling": {
"quantities": {"min_replicas": 1, "max_replicas": 4, "min_scale": 0.5, "max_scale": 2.0},
"metrics": [
{"metric": "cpu_utilization", "parameters": [{"name": "target", "value": "0.5"}]},
{"metric": "memory_utilization", "parameters": [{"name": "target", "value": "0.7"}]}
]
},
"env_vars": {"VERTA_HOST": "app.verta.ai"},
"resources": {"cpu": 0.25, "memory": "100M"}
}
filepath = "config.json"
with open(filepath, 'w') as f:
json.dump(config_dict, f)
endpoint.update_from_config(filepath)
update_status = endpoint.get_update_status()
# Check autoscaling:
autoscaling_parameters = update_status["update_request"]["autoscaling"]
autoscaling_quantities = autoscaling_parameters["quantities"]
assert autoscaling_quantities == config_dict["autoscaling"]["quantities"]
autoscaling_metrics = autoscaling_parameters["metrics"]
assert len(autoscaling_metrics) == 2
for metric in autoscaling_metrics:
assert metric["metric_id"] in [1001, 1002, 1003]
if metric["metric_id"] == 1001:
assert metric["parameters"][0]["value"] == "0.5"
else:
assert metric["parameters"][0]["value"] == "0.7"
# Check env_vars:
assert update_status["update_request"]["env"][0]["name"] == "VERTA_HOST"
assert update_status["update_request"]["env"][0]["value"] == "app.verta.ai"
# Check resources:
resources_dict = Resources._from_dict(config_dict["resources"])._as_dict() # config is `cpu`, wire is `cpu_millis`
assert endpoint.get_update_status()['update_request']['resources'] == resources_dict