def test_undeploy_pipeline_docker(inference_pipeline: Pipeline,
docker_runtime: SeldonDockerRuntime):
inference_pipeline.undeploy()
for model in inference_pipeline._models:
with pytest.raises(docker.errors.NotFound):
docker_runtime._get_container(model._details)
def test_undeploy_pipeline_docker(inference_pipeline: Pipeline,
runtime: SeldonDockerRuntime):
runtime.undeploy(inference_pipeline)
for model in inference_pipeline.models.values():
with pytest.raises(docker.errors.NotFound):
runtime._get_container(model.model_spec)
def test_undeploy_docker(sklearn_model: Model, runtime: SeldonDockerRuntime):
time.sleep(2)
runtime.undeploy(sklearn_model)
with pytest.raises(docker.errors.NotFound):
runtime._get_container(sklearn_model.model_spec)
def test_undeploy_docker(sklearn_model: Model, docker_runtime: SeldonDockerRuntime):
sklearn_model.deploy()
time.sleep(2)
sklearn_model.undeploy()
with pytest.raises(docker.errors.NotFound):
docker_runtime._get_container(sklearn_model.details)
def test_deploy_pipeline_docker(
inference_pipeline: Pipeline,
runtime: SeldonDockerRuntime,
):
for model in inference_pipeline.models.values():
container = runtime._get_container(model.model_spec)
assert container.status == "running"
pipeline_container = runtime._get_container(inference_pipeline.model_spec)
assert pipeline_container.status == "running"
def test_deploy_pipeline_docker(
inference_pipeline: Pipeline,
docker_runtime: SeldonDockerRuntime,
docker_runtime_v2: SeldonDockerRuntime,
):
for model in inference_pipeline._models:
container = docker_runtime._get_container(model.details)
assert container.status == "running"
pipeline_container = docker_runtime_v2._get_container(inference_pipeline.details)
assert pipeline_container.status == "running"
def test_deploy_docker(sklearn_model: Model, docker_runtime: SeldonDockerRuntime):
sklearn_model.deploy()
time.sleep(2)
container = docker_runtime._get_container(sklearn_model.details)
assert container.status == "running"
sklearn_model.undeploy()
def test_launch_tensorflow(cifar10_model: Model, runtime: SeldonDockerRuntime):
container = runtime._get_container(cifar10_model.model_spec)
assert container.status == "running"
def test_deploy_docker(sklearn_model_deployed, runtime: SeldonDockerRuntime):
time.sleep(2)
container = runtime._get_container(sklearn_model_deployed.model_spec)
assert container.status == "running"