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# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
class EndpointKeyType(object):
PRIMARY_KEY_TYPE = "primary"
SECONDARY_KEY_TYPE = "secondary"
class EndpointInvokeFields(object):
DEFAULT_HEADER = {"Content-Type": "application/json"}
AUTHORIZATION = "Authorization"
MODEL_DEPLOYMENT = "azureml-model-deployment"
REPEATABILITY_REQUEST_ID = "repeatability_request-id"
class EndpointGetLogsFields(object):
LINES = 5000
class EndpointYamlFields(object):
TYPE = "type"
TRAFFIC_NAME = "traffic"
NAME = "name"
SCALE_SETTINGS = "scale_settings"
SCALE_TYPE = "scale_type"
INSTANCE_COUNT = "instance_count"
MINIMUM = "min_instances"
MAXIMUM = "max_instances"
POLLING_INTERVAL = "polling_interval"
TARGET_UTILIZATION_PERCENTAGE = "target_utilization_percentage"
SKU_DEFAULT = "Standard_F4s_v2"
COMPUTE = "compute"
CODE_CONFIGURATION = "code_configuration"
CODE = "code"
SCORING_SCRIPT = "scoring_script"
SCORING_URI = "scoring_uri"
OPENAPI_URI = "openapi_uri"
PROVISIONING_STATE = "provisioning_state"
MINI_BATCH_SIZE = "mini_batch_size"
RETRY_SETTINGS = "retry_settings"
BATCH_JOB_INPUT_DATA = "input_data"
BATCH_JOB_INSTANCE_COUNT = "compute.instance_count"
BATCH_JOB_OUTPUT_DATA = "output_data"
BATCH_JOB_OUTPUT_PATH = "output_dataset.path"
BATCH_JOB_OUTPUT_DATSTORE = "output_dataset.datastore_id"
BATCH_JOB_NAME = "job_name"
BATCH_JOB_EXPERIMENT_NAME = "experiment_name"
BATCH_JOB_PROPERTIES = "properties"
class EndpointConfigurations:
MIN_NAME_LENGTH = 3
MAX_NAME_LENGTH = 32
NAME_REGEX_PATTERN = r"^[a-zA-Z]([-a-zA-Z0-9]*[a-zA-Z0-9])?$"
class LocalEndpointConstants:
CONDA_FILE_NAME = "conda.yml"
DOCKER_PORT = "5001"
LABEL_KEY_AZUREML_LOCAL_ENDPOINT = "azureml-local-endpoint"
LABEL_KEY_ENDPOINT_NAME = "endpoint"
LABEL_KEY_DEPLOYMENT_NAME = "deployment"
LABEL_KEY_ENDPOINT_JSON = "endpoint-data"
LABEL_KEY_DEPLOYMENT_JSON = "deployment-data"
LABEL_KEY_AZUREML_PORT = "azureml-port"
DEFAULT_STARTUP_WAIT_TIME_SECONDS = 15
CONTAINER_EXITED = "exited"
ENDPOINT_STATE_FAILED = "Failed"
ENDPOINT_STATE_SUCCEEDED = "Succeeded"
ENDPOINT_STATE_LOCATION = "local"
AZUREML_APP_PATH = "/var/azureml-app/"
ENVVAR_KEY_AZUREML_ENTRY_SCRIPT = "AZUREML_ENTRY_SCRIPT"
ENVVAR_KEY_AZUREML_MODEL_DIR = "AZUREML_MODEL_DIR"
ENVVAR_KEY_AML_APP_ROOT = "AML_APP_ROOT"
ENVVAR_KEY_AZUREML_INFERENCE_PYTHON_PATH = "AZUREML_INFERENCE_PYTHON_PATH"
CONDA_ENV_NAME = "inf-conda-env"
CONDA_ENV_BIN_PATH = "/opt/miniconda/envs/inf-conda-env/bin"
CONDA_ENV_PYTHON_PATH = "/opt/miniconda/envs/inf-conda-env/bin/python"
class BatchEndpointInvoke:
INPUTS = "inputs"
OUTPUTS = "outputs"
ENDPOINT = "endpoint"
DEPLOYMENT = "deployment"
TYPE = "type"
MODE = "mode"
PATH = "path"
DEFAULT = "default"
MIN = "min"
MAX = "max"
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