two version of R2R are here HEAD master

1 files changed, 93 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_endpoint.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_endpoint.py
new file mode 100644
index 00000000..4f9525b8
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/constants/_endpoint.py
@@ -0,0 +1,93 @@
+# ---------------------------------------------------------
+# 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"