Connect to a Driverless AI server created by AI Enginer Manager in H2O AI Cloud¶

Prerequisites¶

• h2o CLI
  • Download the h2o cli from https://h2oai-cloud-release.s3.amazonaws.com/releases/ai/h2o/h2o-cloud/latest/index.html
  • Move the h2o cli to /usr/local/bin
  • Update permission of h2o cli chmod +x /usr/local/bin/h2o
• Python environment with h2o-engine-manager and h2o-authn
  • pip install h2o-authn~=1.0 h2o-engine-manager

H2O CLI configuration setup¶

• Run h2o config setup and enter the Endpoint URL, OIDC URL, and Client ID from your cloud-qa account. (Visit https://cloud-qa.h2o.ai/cli-and-api-access#cli-info)
• To update the platform token, run h2o config update-platform-token.
• You can have multiple config files for different cloud environments (https://docs.h2o.ai/h2o-ai-cloud/developerguide/cli#using-multiple-config-files).

In [1]:

import h2o_engine_manager 

# Log in to AI Engine Manager (AIEM)
aiem = h2o_engine_manager.login(
  config_path="/path/to/.h2oai/h2o-cli-config.toml"
)

import h2o_engine_manager # Log in to AI Engine Manager (AIEM) aiem = h2o_engine_manager.login( config_path="/path/to/.h2oai/h2o-cli-config.toml" )

In [2]:

# List DAI engines at AIEM
aiem.dai_engine_client.list_engines()

# List DAI engines at AIEM aiem.dai_engine_client.list_engines()

Out[2]:

{'engines': [{'annotations': {},
 'api_url': 'https://enginemanager.cloud-qa.h2o.ai/workspaces/default/daiEngines/python-client-test',
 'client_info': <h2o_engine_manager.clients.dai_engine.client_info.ClientInfo object at 0x7fb8d29dd950>,
 'config': {},
 'cpu': 2,
 'create_time': datetime.datetime(2023, 5, 18, 11, 55, 48, tzinfo=tzutc()),
 'creator': 'users/e5c28181-4e61-4b40-a9eb-6f214c80bf0c',
 'creator_display_name': 'muraleetharan.mathanraj@h2o.ai',
 'delete_time': None,
 'display_name': 'python-client-test',
 'engine_id': 'python-client-test',
 'gpu': 0,
 'login_url': 'https://enginemanager.cloud-qa.h2o.ai/workspaces/default/daiEngines/python-client-test/oidc/login',
 'max_idle_duration': '1h',
 'max_running_duration': '5d',
 'memory_bytes': '8Gi',
 'name': 'workspaces/default/daiEngines/python-client-test',
 'reconciling': False,
 'resume_time': datetime.datetime(2023, 5, 18, 11, 55, 48, tzinfo=tzutc()),
 'state': <DAIEngineState.STATE_RUNNING: 'STATE_RUNNING'>,
 'storage_bytes': '8Gi',
 'uid': '9beb60fd-3b31-44cf-9b55-89cc12520fbb',
 'update_time': None,
 'upgrade_available': False,
 'version': '1.10.5',
 'workspace_id': 'default'}],
 'next_page_token': '',
 'total_size': 1}

In [3]:

# Get DAI engine at AIEM using indentifier
dai_engine_client = aiem.dai_engine_client
dai_engine = dai_engine_client.get_engine("python-client-test")

# Get DAI engine at AIEM using indentifier dai_engine_client = aiem.dai_engine_client dai_engine = dai_engine_client.get_engine("python-client-test")

In [4]:

# Connect to dai engine and get client
dai_client = dai_engine.connect()

# Connect to dai engine and get client dai_client = dai_engine.connect()

In [5]:

# Perform any driverlessai python client operation using the client
# (Example) Create dataset
data_key = dai_client.datasets.create("~/datasets/BostonHousing_JpCols.csv", force=True)

# Perform any driverlessai python client operation using the client # (Example) Create dataset data_key = dai_client.datasets.create("~/datasets/BostonHousing_JpCols.csv", force=True)

Complete 100.00% - [4/4] Computed stats for column 犯罪率

In [6]:

# (Example) List datasets
dai_client.datasets.list()

# (Example) List datasets dai_client.datasets.list()

Out[6]:

    | Type    | Key                                  | Name
----+---------+--------------------------------------+--------------------------
  0 | Dataset | 5332f63a-f573-11ed-b32e-d644a294ba9c | BostonHousing_JpCols.csv

In [ ]: