# coding: utf-8

# flake8: noqa

"""
    Versatile Data Kit Control Service API

    The Data Jobs API of Versatile Data Kit Control Service. Data Jobs allows Data Engineers to implement automated pull ingestion (E in ELT) and batch data transformation into a database (T in ELT). See also https://github.com/vmware/versatile-data-kit/wiki/Introduction The API has resource-oriented URLs, JSON-encoded responses, and uses standard HTTP response codes, authentication, and verbs. The API enables creating, deploying, managing and executing Data Jobs in the runtime environment.<br> <br> ![](https://github.com/vmware/versatile-data-kit/wiki/vdk-data-job-lifecycle-state-diagram.png) <br> The API reflects the usual Data Job Development lifecycle:<br> <li> Create a new data job (webhook to further configure the job, e.g authorize its creation, setup permissions, etc). <li> Download keytab. Develop and run the data job locally. <li> Deploy the data job in cloud runtime environment to run on a scheduled basis. <br><br> If Authentication is enabled, pass OAuth2 access token in HTTP header 'Authorization: Bearer [access-token-here]' (https://datatracker.ietf.org/doc/html/rfc6750). <br The API promotes some best practices (inspired by https://12factor.net): <li> Explicitly declare and isolate dependencies. <li> Strict separation of configurations from code. Configurations vary substantially across deploys, code does not. <li> Separation between the build, release/deploy, and run stages. <li> Data Jobs are stateless and share-nothing processes. Any data that needs to be persisted must be stored in a stateful backing service (e.g IProperties). <li> Implementation is assumed to be atomic and idempotent - should be OK for a job to fail somewhere in the middle; subsequent restart should not cause data corruption. <li> Keep development, staging, and production as similar as possible. <br><br> <b>API Evolution</b><br> In the following sections, there are some terms that have a special meaning in the context of the APIs. <br><br> <li> <i>Stable</i> - The implementation of the API has been battle-tested (has been in production for some time). The API is a subject to semantic versioning model and will follow deprecation policy. <li> <i>Experimental</i> - May disappear without notice and is not a subject to semantic versioning. Implementation of the API is not considered stable nor well tested. Generally this is given to clients to experiment within testing environment. Must not be used in production. <li> <i>Deprecated</i> - API is expected to be removed within next one or two major version upgrade. The deprecation notice/comment will say when the API will be removed and what alternatives should be used instead.  # noqa: E501

    The version of the OpenAPI document: 1.0
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""


__version__ = "1.0.11"

# import apis into sdk package
from taurus_datajob_api.api.data_jobs_api import DataJobsApi
from taurus_datajob_api.api.data_jobs_deployment_api import DataJobsDeploymentApi
from taurus_datajob_api.api.data_jobs_execution_api import DataJobsExecutionApi
from taurus_datajob_api.api.data_jobs_properties_api import DataJobsPropertiesApi
from taurus_datajob_api.api.data_jobs_secrets_api import DataJobsSecretsApi
from taurus_datajob_api.api.data_jobs_service_api import DataJobsServiceApi
from taurus_datajob_api.api.data_jobs_sources_api import DataJobsSourcesApi

# import ApiClient
from taurus_datajob_api.api_response import ApiResponse
from taurus_datajob_api.api_client import ApiClient
from taurus_datajob_api.configuration import Configuration
from taurus_datajob_api.exceptions import OpenApiException
from taurus_datajob_api.exceptions import ApiTypeError
from taurus_datajob_api.exceptions import ApiValueError
from taurus_datajob_api.exceptions import ApiKeyError
from taurus_datajob_api.exceptions import ApiAttributeError
from taurus_datajob_api.exceptions import ApiException

# import models into sdk package
from taurus_datajob_api.models.data_job import DataJob
from taurus_datajob_api.models.data_job_api_info import DataJobApiInfo
from taurus_datajob_api.models.data_job_config import DataJobConfig
from taurus_datajob_api.models.data_job_contacts import DataJobContacts
from taurus_datajob_api.models.data_job_deployment import DataJobDeployment
from taurus_datajob_api.models.data_job_deployment_status import DataJobDeploymentStatus
from taurus_datajob_api.models.data_job_execution import DataJobExecution
from taurus_datajob_api.models.data_job_execution_logs import DataJobExecutionLogs
from taurus_datajob_api.models.data_job_execution_request import DataJobExecutionRequest
from taurus_datajob_api.models.data_job_mode import DataJobMode
from taurus_datajob_api.models.data_job_page import DataJobPage
from taurus_datajob_api.models.data_job_query_response import DataJobQueryResponse
from taurus_datajob_api.models.data_job_query_response_with_error import DataJobQueryResponseWithError
from taurus_datajob_api.models.data_job_resources import DataJobResources
from taurus_datajob_api.models.data_job_schedule import DataJobSchedule
from taurus_datajob_api.models.data_job_summary import DataJobSummary
from taurus_datajob_api.models.data_job_version import DataJobVersion
from taurus_datajob_api.models.error import Error
