EnclaveSDK

Described below is the EscrowAI Enclave API that provides functionality inside a BeeKeeperAI environment. Included are data engineering endpoints and reporting endpoints.

This Python package is automatically generated by the OpenAPI Generator project:

API version: 2.1.4
Package version: 2.1.4.dev55161
Generator version: 7.17.0
Build package: org.openapitools.codegen.languages.PythonClientCodegen

Requirements.

Python 3.9+

Installation & Usage

pip install

If the python package is hosted on a repository, you can install directly using:

pip install git+https://github.com/GIT_USER_ID/GIT_REPO_ID.git

(you may need to run pip with root permission: sudo pip install git+https://github.com/GIT_USER_ID/GIT_REPO_ID.git)

Then import the package:

import EnclaveSDK

Setuptools

Install via Setuptools.

python setup.py install --user

(or sudo python setup.py install to install the package for all users)

Then import the package:

import EnclaveSDK

Tests

Execute pytest to run the tests.

Getting Started

Please follow the installation procedure and then run the following:

import EnclaveSDK
from EnclaveSDK.rest import ApiException
from pprint import pprint

# Defining the host is optional and defaults to http://sandbox.dev.escrow.beekeeperai.com
# See configuration.py for a list of all supported configuration parameters.
configuration = EnclaveSDK.Configuration(
    host="http://sandbox.dev.escrow.beekeeperai.com"
)


# Enter a context with an instance of the API client
with EnclaveSDK.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = EnclaveSDK.AuthApi(api_client)
    auth_request = EnclaveSDK.AuthRequest()  # AuthRequest |

    try:
        # Authenticate and return server configuration
        api_response = api_instance.api_v1_auth_post(auth_request)
        print("The response of AuthApi->api_v1_auth_post:\n")
        pprint(api_response)
    except ApiException as e:
        print("Exception when calling AuthApi->api_v1_auth_post: %s\n" % e)

Documentation for API Endpoints

All URIs are relative to http://sandbox.dev.escrow.beekeeperai.com

Class	Method	HTTP request	Description
AuthApi	api_v1_auth_post	POST /api/v1/auth	Authenticate and return server configuration
DataApi	api_v1_data_file_get	GET /api/v1/data/file	Retrieve a file by its filename and optionally SASUrl as a get request
DataApi	api_v1_data_file_post	POST /api/v1/data/file	Retrieve a file by its filename and optionally SASUrl as a post request
DataApi	api_v1_data_files_get	GET /api/v1/data/files	Retrieve a list of available files
DataApi	api_v1_data_sql_select_post	POST /api/v1/data/sql/select	Execute a SQL query
EscrowApi	api_v1_ping_attestation_get	GET /api/v1/ping/attestation	Ping attestation authority
EscrowApi	api_v1_ping_drain_get	GET /api/v1/ping/drain	Check if EnclaveAPI is fully drained and safe to shutdown
EscrowApi	api_v1_ping_enclave_get	GET /api/v1/ping/enclave	Ping to check if the enclave API is up
EscrowApi	api_v1_ping_escrow_get	GET /api/v1/ping/escrow	Ping to check if the backend Escrow service is up
EscrowApi	api_v1_ping_kms_get	GET /api/v1/ping/kms	Ping key manager
LogApi	api_v1_log_post	POST /api/v1/log	Post log data
MlflowApi	api20_mlflow_artifacts_artifact_path_delete	DELETE /api/2.0/mlflow-artifacts/{artifactPath}	Proxy DELETE request to MLflow Artifacts
MlflowApi	api20_mlflow_artifacts_artifact_path_get	GET /api/2.0/mlflow-artifacts/{artifactPath}	Proxy GET request to MLflow Artifacts
MlflowApi	api20_mlflow_artifacts_artifact_path_post	POST /api/2.0/mlflow-artifacts/{artifactPath}	Proxy POST request to MLflow Artifacts
MlflowApi	api20_mlflow_artifacts_artifact_path_put	PUT /api/2.0/mlflow-artifacts/{artifactPath}	Proxy PUT request to MLflow Artifacts
MlflowApi	api20_mlflow_proxy_path_delete	DELETE /api/2.0/mlflow/{proxyPath}	Proxy DELETE request to MLflow
MlflowApi	api20_mlflow_proxy_path_get	GET /api/2.0/mlflow/{proxyPath}	Proxy GET request to MLflow
MlflowApi	api20_mlflow_proxy_path_post	POST /api/2.0/mlflow/{proxyPath}	Proxy POST request to MLflow
MlflowApi	api20_mlflow_proxy_path_put	PUT /api/2.0/mlflow/{proxyPath}	Proxy PUT request to MLflow
ReportApi	api_v1_report_artifact_post	POST /api/v1/report/artifact	Upload a report artifact (image or video)
ReportApi	api_v1_report_post	POST /api/v1/report	Post a valid report
ReportApi	api_v1_validate_post	POST /api/v1/validate	Validate a report
RunApi	api_v1_algorithm_status_post	POST /api/v1/algorithm/status	Log the status of an algorithm execution
WritebackApi	api_v1_writeback_file_delete	DELETE /api/v1/writeback/file	Delete a writeback file
WritebackApi	api_v1_writeback_file_get	GET /api/v1/writeback/file	Retrieve a writeback file
WritebackApi	api_v1_writeback_file_post	POST /api/v1/writeback/file	Create a writeback file
WritebackApi	api_v1_writeback_file_put	PUT /api/v1/writeback/file	Upsert a writeback file
WritebackApi	api_v1_writeback_files_get	GET /api/v1/writeback/files	Retrieve a list of available writeback files

Documentation For Models

Documentation For Authorization

Authentication schemes defined for the API:

BearerAuth

Type: Bearer authentication

Author

engineering@beekeeperai.com

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