Source code for azure.synapse.artifacts.aio.operations._pipeline_operations

# pylint: disable=too-many-lines
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------
import sys
from typing import Any, AsyncIterable, Callable, Dict, IO, Optional, TypeVar, Union, cast, overload

from azure.core.async_paging import AsyncItemPaged, AsyncList
from azure.core.exceptions import (
    ClientAuthenticationError,
    HttpResponseError,
    ResourceExistsError,
    ResourceNotFoundError,
    ResourceNotModifiedError,
    map_error,
)
from azure.core.pipeline import PipelineResponse
from azure.core.pipeline.transport import AsyncHttpResponse
from azure.core.polling import AsyncLROPoller, AsyncNoPolling, AsyncPollingMethod
from azure.core.polling.async_base_polling import AsyncLROBasePolling
from azure.core.rest import HttpRequest
from azure.core.tracing.decorator import distributed_trace
from azure.core.tracing.decorator_async import distributed_trace_async
from azure.core.utils import case_insensitive_dict

from ... import models as _models
from ..._vendor import _convert_request
from ...operations._pipeline_operations import (
    build_create_or_update_pipeline_request,
    build_create_pipeline_run_request,
    build_delete_pipeline_request,
    build_get_pipeline_request,
    build_get_pipelines_by_workspace_request,
    build_rename_pipeline_request,
)

if sys.version_info >= (3, 9):
    from collections.abc import MutableMapping
else:
    from typing import MutableMapping  # type: ignore  # pylint: disable=ungrouped-imports
JSON = MutableMapping[str, Any]  # pylint: disable=unsubscriptable-object
T = TypeVar("T")
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]]


[docs]class PipelineOperations: """ .. warning:: **DO NOT** instantiate this class directly. Instead, you should access the following operations through :class:`~azure.synapse.artifacts.aio.ArtifactsClient`'s :attr:`pipeline` attribute. """ models = _models def __init__(self, *args, **kwargs) -> None: input_args = list(args) self._client = input_args.pop(0) if input_args else kwargs.pop("client") self._config = input_args.pop(0) if input_args else kwargs.pop("config") self._serialize = input_args.pop(0) if input_args else kwargs.pop("serializer") self._deserialize = input_args.pop(0) if input_args else kwargs.pop("deserializer")
[docs] @distributed_trace def get_pipelines_by_workspace(self, **kwargs: Any) -> AsyncIterable["_models.PipelineResource"]: """Lists pipelines. :keyword callable cls: A custom type or function that will be passed the direct response :return: An iterator like instance of either PipelineResource or the result of cls(response) :rtype: ~azure.core.async_paging.AsyncItemPaged[~azure.synapse.artifacts.models.PipelineResource] :raises ~azure.core.exceptions.HttpResponseError: """ _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01")) # type: str cls = kwargs.pop("cls", None) # type: ClsType[_models.PipelineListResponse] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) def prepare_request(next_link=None): if not next_link: request = build_get_pipelines_by_workspace_request( api_version=api_version, template_url=self.get_pipelines_by_workspace.metadata["url"], headers=_headers, params=_params, ) request = _convert_request(request) path_format_arguments = { "endpoint": self._serialize.url( "self._config.endpoint", self._config.endpoint, "str", skip_quote=True ), } request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore else: request = HttpRequest("GET", next_link) request = _convert_request(request) path_format_arguments = { "endpoint": self._serialize.url( "self._config.endpoint", self._config.endpoint, "str", skip_quote=True ), } request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore request.method = "GET" return request async def extract_data(pipeline_response): deserialized = self._deserialize("PipelineListResponse", pipeline_response) list_of_elem = deserialized.value if cls: list_of_elem = cls(list_of_elem) return deserialized.next_link or None, AsyncList(list_of_elem) async def get_next(next_link=None): request = prepare_request(next_link) pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access request, stream=False, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response) return pipeline_response return AsyncItemPaged(get_next, extract_data)
get_pipelines_by_workspace.metadata = {"url": "/pipelines"} # type: ignore async def _create_or_update_pipeline_initial( self, pipeline_name: str, pipeline: Union[_models.PipelineResource, IO], if_match: Optional[str] = None, **kwargs: Any ) -> Optional[_models.PipelineResource]: error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01")) # type: str content_type = kwargs.pop("content_type", _headers.pop("Content-Type", None)) # type: Optional[str] cls = kwargs.pop("cls", None) # type: ClsType[Optional[_models.PipelineResource]] content_type = content_type or "application/json" _json = None _content = None if isinstance(pipeline, (IO, bytes)): _content = pipeline else: _json = self._serialize.body(pipeline, "PipelineResource") request = build_create_or_update_pipeline_request( pipeline_name=pipeline_name, if_match=if_match, api_version=api_version, content_type=content_type, json=_json, content=_content, template_url=self._create_or_update_pipeline_initial.metadata["url"], headers=_headers, params=_params, ) request = _convert_request(request) path_format_arguments = { "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True), } request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access request, stream=False, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200, 202]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response) deserialized = None if response.status_code == 200: deserialized = self._deserialize("PipelineResource", pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized _create_or_update_pipeline_initial.metadata = {"url": "/pipelines/{pipelineName}"} # type: ignore @overload async def begin_create_or_update_pipeline( self, pipeline_name: str, pipeline: _models.PipelineResource, if_match: Optional[str] = None, *, content_type: str = "application/json", **kwargs: Any ) -> AsyncLROPoller[_models.PipelineResource]: """Creates or updates a pipeline. :param pipeline_name: The pipeline name. Required. :type pipeline_name: str :param pipeline: Pipeline resource definition. Required. :type pipeline: ~azure.synapse.artifacts.models.PipelineResource :param if_match: ETag of the pipeline entity. Should only be specified for update, for which it should match existing entity or can be * for unconditional update. Default value is None. :type if_match: str :keyword content_type: Body Parameter content-type. Content type parameter for JSON body. Default value is "application/json". :paramtype content_type: str :keyword callable cls: A custom type or function that will be passed the direct response :keyword str continuation_token: A continuation token to restart a poller from a saved state. :keyword polling: By default, your polling method will be AsyncLROBasePolling. Pass in False for this operation to not poll, or pass in your own initialized polling object for a personal polling strategy. :paramtype polling: bool or ~azure.core.polling.AsyncPollingMethod :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present. :return: An instance of AsyncLROPoller that returns either PipelineResource or the result of cls(response) :rtype: ~azure.core.polling.AsyncLROPoller[~azure.synapse.artifacts.models.PipelineResource] :raises ~azure.core.exceptions.HttpResponseError: """ @overload async def begin_create_or_update_pipeline( self, pipeline_name: str, pipeline: IO, if_match: Optional[str] = None, *, content_type: str = "application/json", **kwargs: Any ) -> AsyncLROPoller[_models.PipelineResource]: """Creates or updates a pipeline. :param pipeline_name: The pipeline name. Required. :type pipeline_name: str :param pipeline: Pipeline resource definition. Required. :type pipeline: IO :param if_match: ETag of the pipeline entity. Should only be specified for update, for which it should match existing entity or can be * for unconditional update. Default value is None. :type if_match: str :keyword content_type: Body Parameter content-type. Content type parameter for binary body. Default value is "application/json". :paramtype content_type: str :keyword callable cls: A custom type or function that will be passed the direct response :keyword str continuation_token: A continuation token to restart a poller from a saved state. :keyword polling: By default, your polling method will be AsyncLROBasePolling. Pass in False for this operation to not poll, or pass in your own initialized polling object for a personal polling strategy. :paramtype polling: bool or ~azure.core.polling.AsyncPollingMethod :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present. :return: An instance of AsyncLROPoller that returns either PipelineResource or the result of cls(response) :rtype: ~azure.core.polling.AsyncLROPoller[~azure.synapse.artifacts.models.PipelineResource] :raises ~azure.core.exceptions.HttpResponseError: """
[docs] @distributed_trace_async async def begin_create_or_update_pipeline( self, pipeline_name: str, pipeline: Union[_models.PipelineResource, IO], if_match: Optional[str] = None, **kwargs: Any ) -> AsyncLROPoller[_models.PipelineResource]: """Creates or updates a pipeline. :param pipeline_name: The pipeline name. Required. :type pipeline_name: str :param pipeline: Pipeline resource definition. Is either a model type or a IO type. Required. :type pipeline: ~azure.synapse.artifacts.models.PipelineResource or IO :param if_match: ETag of the pipeline entity. Should only be specified for update, for which it should match existing entity or can be * for unconditional update. Default value is None. :type if_match: str :keyword content_type: Body Parameter content-type. Known values are: 'application/json'. Default value is None. :paramtype content_type: str :keyword callable cls: A custom type or function that will be passed the direct response :keyword str continuation_token: A continuation token to restart a poller from a saved state. :keyword polling: By default, your polling method will be AsyncLROBasePolling. Pass in False for this operation to not poll, or pass in your own initialized polling object for a personal polling strategy. :paramtype polling: bool or ~azure.core.polling.AsyncPollingMethod :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present. :return: An instance of AsyncLROPoller that returns either PipelineResource or the result of cls(response) :rtype: ~azure.core.polling.AsyncLROPoller[~azure.synapse.artifacts.models.PipelineResource] :raises ~azure.core.exceptions.HttpResponseError: """ _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01")) # type: str content_type = kwargs.pop("content_type", _headers.pop("Content-Type", None)) # type: Optional[str] cls = kwargs.pop("cls", None) # type: ClsType[_models.PipelineResource] polling = kwargs.pop("polling", True) # type: Union[bool, AsyncPollingMethod] lro_delay = kwargs.pop("polling_interval", self._config.polling_interval) cont_token = kwargs.pop("continuation_token", None) # type: Optional[str] if cont_token is None: raw_result = await self._create_or_update_pipeline_initial( # type: ignore pipeline_name=pipeline_name, pipeline=pipeline, if_match=if_match, api_version=api_version, content_type=content_type, cls=lambda x, y, z: x, headers=_headers, params=_params, **kwargs ) kwargs.pop("error_map", None) def get_long_running_output(pipeline_response): deserialized = self._deserialize("PipelineResource", pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized path_format_arguments = { "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True), } if polling is True: polling_method = cast( AsyncPollingMethod, AsyncLROBasePolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs), ) # type: AsyncPollingMethod elif polling is False: polling_method = cast(AsyncPollingMethod, AsyncNoPolling()) else: polling_method = polling if cont_token: return AsyncLROPoller.from_continuation_token( polling_method=polling_method, continuation_token=cont_token, client=self._client, deserialization_callback=get_long_running_output, ) return AsyncLROPoller(self._client, raw_result, get_long_running_output, polling_method)
begin_create_or_update_pipeline.metadata = {"url": "/pipelines/{pipelineName}"} # type: ignore
[docs] @distributed_trace_async async def get_pipeline( self, pipeline_name: str, if_none_match: Optional[str] = None, **kwargs: Any ) -> Optional[_models.PipelineResource]: """Gets a pipeline. :param pipeline_name: The pipeline name. Required. :type pipeline_name: str :param if_none_match: ETag of the pipeline entity. Should only be specified for get. If the ETag matches the existing entity tag, or if * was provided, then no content will be returned. Default value is None. :type if_none_match: str :keyword callable cls: A custom type or function that will be passed the direct response :return: PipelineResource or None or the result of cls(response) :rtype: ~azure.synapse.artifacts.models.PipelineResource or None :raises ~azure.core.exceptions.HttpResponseError: """ error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01")) # type: str cls = kwargs.pop("cls", None) # type: ClsType[Optional[_models.PipelineResource]] request = build_get_pipeline_request( pipeline_name=pipeline_name, if_none_match=if_none_match, api_version=api_version, template_url=self.get_pipeline.metadata["url"], headers=_headers, params=_params, ) request = _convert_request(request) path_format_arguments = { "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True), } request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access request, stream=False, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200, 304]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response) deserialized = None if response.status_code == 200: deserialized = self._deserialize("PipelineResource", pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized
get_pipeline.metadata = {"url": "/pipelines/{pipelineName}"} # type: ignore async def _delete_pipeline_initial( # pylint: disable=inconsistent-return-statements self, pipeline_name: str, **kwargs: Any ) -> None: error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01")) # type: str cls = kwargs.pop("cls", None) # type: ClsType[None] request = build_delete_pipeline_request( pipeline_name=pipeline_name, api_version=api_version, template_url=self._delete_pipeline_initial.metadata["url"], headers=_headers, params=_params, ) request = _convert_request(request) path_format_arguments = { "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True), } request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access request, stream=False, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200, 202, 204]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response) if cls: return cls(pipeline_response, None, {}) _delete_pipeline_initial.metadata = {"url": "/pipelines/{pipelineName}"} # type: ignore
[docs] @distributed_trace_async async def begin_delete_pipeline(self, pipeline_name: str, **kwargs: Any) -> AsyncLROPoller[None]: """Deletes a pipeline. :param pipeline_name: The pipeline name. Required. :type pipeline_name: str :keyword callable cls: A custom type or function that will be passed the direct response :keyword str continuation_token: A continuation token to restart a poller from a saved state. :keyword polling: By default, your polling method will be AsyncLROBasePolling. Pass in False for this operation to not poll, or pass in your own initialized polling object for a personal polling strategy. :paramtype polling: bool or ~azure.core.polling.AsyncPollingMethod :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present. :return: An instance of AsyncLROPoller that returns either None or the result of cls(response) :rtype: ~azure.core.polling.AsyncLROPoller[None] :raises ~azure.core.exceptions.HttpResponseError: """ _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01")) # type: str cls = kwargs.pop("cls", None) # type: ClsType[None] polling = kwargs.pop("polling", True) # type: Union[bool, AsyncPollingMethod] lro_delay = kwargs.pop("polling_interval", self._config.polling_interval) cont_token = kwargs.pop("continuation_token", None) # type: Optional[str] if cont_token is None: raw_result = await self._delete_pipeline_initial( # type: ignore pipeline_name=pipeline_name, api_version=api_version, cls=lambda x, y, z: x, headers=_headers, params=_params, **kwargs ) kwargs.pop("error_map", None) def get_long_running_output(pipeline_response): # pylint: disable=inconsistent-return-statements if cls: return cls(pipeline_response, None, {}) path_format_arguments = { "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True), } if polling is True: polling_method = cast( AsyncPollingMethod, AsyncLROBasePolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs), ) # type: AsyncPollingMethod elif polling is False: polling_method = cast(AsyncPollingMethod, AsyncNoPolling()) else: polling_method = polling if cont_token: return AsyncLROPoller.from_continuation_token( polling_method=polling_method, continuation_token=cont_token, client=self._client, deserialization_callback=get_long_running_output, ) return AsyncLROPoller(self._client, raw_result, get_long_running_output, polling_method)
begin_delete_pipeline.metadata = {"url": "/pipelines/{pipelineName}"} # type: ignore async def _rename_pipeline_initial( # pylint: disable=inconsistent-return-statements self, pipeline_name: str, new_name: Optional[str] = None, **kwargs: Any ) -> None: error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01")) # type: str content_type = kwargs.pop("content_type", _headers.pop("Content-Type", "application/json")) # type: str cls = kwargs.pop("cls", None) # type: ClsType[None] _request = _models.ArtifactRenameRequest(new_name=new_name) _json = self._serialize.body(_request, "ArtifactRenameRequest") request = build_rename_pipeline_request( pipeline_name=pipeline_name, api_version=api_version, content_type=content_type, json=_json, template_url=self._rename_pipeline_initial.metadata["url"], headers=_headers, params=_params, ) request = _convert_request(request) path_format_arguments = { "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True), } request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access request, stream=False, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200, 202]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response) if cls: return cls(pipeline_response, None, {}) _rename_pipeline_initial.metadata = {"url": "/pipelines/{pipelineName}/rename"} # type: ignore
[docs] @distributed_trace_async async def begin_rename_pipeline( self, pipeline_name: str, new_name: Optional[str] = None, **kwargs: Any ) -> AsyncLROPoller[None]: """Renames a pipeline. :param pipeline_name: The pipeline name. Required. :type pipeline_name: str :param new_name: New name of the artifact. Default value is None. :type new_name: str :keyword callable cls: A custom type or function that will be passed the direct response :keyword str continuation_token: A continuation token to restart a poller from a saved state. :keyword polling: By default, your polling method will be AsyncLROBasePolling. Pass in False for this operation to not poll, or pass in your own initialized polling object for a personal polling strategy. :paramtype polling: bool or ~azure.core.polling.AsyncPollingMethod :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present. :return: An instance of AsyncLROPoller that returns either None or the result of cls(response) :rtype: ~azure.core.polling.AsyncLROPoller[None] :raises ~azure.core.exceptions.HttpResponseError: """ _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01")) # type: str content_type = kwargs.pop("content_type", _headers.pop("Content-Type", "application/json")) # type: str cls = kwargs.pop("cls", None) # type: ClsType[None] polling = kwargs.pop("polling", True) # type: Union[bool, AsyncPollingMethod] lro_delay = kwargs.pop("polling_interval", self._config.polling_interval) cont_token = kwargs.pop("continuation_token", None) # type: Optional[str] if cont_token is None: raw_result = await self._rename_pipeline_initial( # type: ignore pipeline_name=pipeline_name, new_name=new_name, api_version=api_version, content_type=content_type, cls=lambda x, y, z: x, headers=_headers, params=_params, **kwargs ) kwargs.pop("error_map", None) def get_long_running_output(pipeline_response): # pylint: disable=inconsistent-return-statements if cls: return cls(pipeline_response, None, {}) path_format_arguments = { "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True), } if polling is True: polling_method = cast( AsyncPollingMethod, AsyncLROBasePolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs), ) # type: AsyncPollingMethod elif polling is False: polling_method = cast(AsyncPollingMethod, AsyncNoPolling()) else: polling_method = polling if cont_token: return AsyncLROPoller.from_continuation_token( polling_method=polling_method, continuation_token=cont_token, client=self._client, deserialization_callback=get_long_running_output, ) return AsyncLROPoller(self._client, raw_result, get_long_running_output, polling_method)
begin_rename_pipeline.metadata = {"url": "/pipelines/{pipelineName}/rename"} # type: ignore @overload async def create_pipeline_run( self, pipeline_name: str, reference_pipeline_run_id: Optional[str] = None, is_recovery: Optional[bool] = None, start_activity_name: Optional[str] = None, parameters: Optional[Dict[str, JSON]] = None, *, content_type: str = "application/json", **kwargs: Any ) -> _models.CreateRunResponse: """Creates a run of a pipeline. :param pipeline_name: The pipeline name. Required. :type pipeline_name: str :param reference_pipeline_run_id: The pipeline run identifier. If run ID is specified the parameters of the specified run will be used to create a new run. Default value is None. :type reference_pipeline_run_id: str :param is_recovery: Recovery mode flag. If recovery mode is set to true, the specified referenced pipeline run and the new run will be grouped under the same groupId. Default value is None. :type is_recovery: bool :param start_activity_name: In recovery mode, the rerun will start from this activity. If not specified, all activities will run. Default value is None. :type start_activity_name: str :param parameters: Parameters of the pipeline run. These parameters will be used only if the runId is not specified. Default value is None. :type parameters: dict[str, JSON] :keyword content_type: Body Parameter content-type. Content type parameter for JSON body. Default value is "application/json". :paramtype content_type: str :keyword callable cls: A custom type or function that will be passed the direct response :return: CreateRunResponse or the result of cls(response) :rtype: ~azure.synapse.artifacts.models.CreateRunResponse :raises ~azure.core.exceptions.HttpResponseError: """ @overload async def create_pipeline_run( self, pipeline_name: str, reference_pipeline_run_id: Optional[str] = None, is_recovery: Optional[bool] = None, start_activity_name: Optional[str] = None, parameters: Optional[IO] = None, *, content_type: str = "application/json", **kwargs: Any ) -> _models.CreateRunResponse: """Creates a run of a pipeline. :param pipeline_name: The pipeline name. Required. :type pipeline_name: str :param reference_pipeline_run_id: The pipeline run identifier. If run ID is specified the parameters of the specified run will be used to create a new run. Default value is None. :type reference_pipeline_run_id: str :param is_recovery: Recovery mode flag. If recovery mode is set to true, the specified referenced pipeline run and the new run will be grouped under the same groupId. Default value is None. :type is_recovery: bool :param start_activity_name: In recovery mode, the rerun will start from this activity. If not specified, all activities will run. Default value is None. :type start_activity_name: str :param parameters: Parameters of the pipeline run. These parameters will be used only if the runId is not specified. Default value is None. :type parameters: IO :keyword content_type: Body Parameter content-type. Content type parameter for binary body. Default value is "application/json". :paramtype content_type: str :keyword callable cls: A custom type or function that will be passed the direct response :return: CreateRunResponse or the result of cls(response) :rtype: ~azure.synapse.artifacts.models.CreateRunResponse :raises ~azure.core.exceptions.HttpResponseError: """
[docs] @distributed_trace_async async def create_pipeline_run( self, pipeline_name: str, reference_pipeline_run_id: Optional[str] = None, is_recovery: Optional[bool] = None, start_activity_name: Optional[str] = None, parameters: Optional[Union[Dict[str, JSON], IO]] = None, **kwargs: Any ) -> _models.CreateRunResponse: """Creates a run of a pipeline. :param pipeline_name: The pipeline name. Required. :type pipeline_name: str :param reference_pipeline_run_id: The pipeline run identifier. If run ID is specified the parameters of the specified run will be used to create a new run. Default value is None. :type reference_pipeline_run_id: str :param is_recovery: Recovery mode flag. If recovery mode is set to true, the specified referenced pipeline run and the new run will be grouped under the same groupId. Default value is None. :type is_recovery: bool :param start_activity_name: In recovery mode, the rerun will start from this activity. If not specified, all activities will run. Default value is None. :type start_activity_name: str :param parameters: Parameters of the pipeline run. These parameters will be used only if the runId is not specified. Is either a dict type or a IO type. Default value is None. :type parameters: dict[str, JSON] or IO :keyword content_type: Body Parameter content-type. Known values are: 'application/json'. Default value is None. :paramtype content_type: str :keyword callable cls: A custom type or function that will be passed the direct response :return: CreateRunResponse or the result of cls(response) :rtype: ~azure.synapse.artifacts.models.CreateRunResponse :raises ~azure.core.exceptions.HttpResponseError: """ error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version = kwargs.pop("api_version", _params.pop("api-version", "2020-12-01")) # type: str content_type = kwargs.pop("content_type", _headers.pop("Content-Type", None)) # type: Optional[str] cls = kwargs.pop("cls", None) # type: ClsType[_models.CreateRunResponse] content_type = content_type or "application/json" _json = None _content = None if isinstance(parameters, (IO, bytes)): _content = parameters else: if parameters is not None: _json = self._serialize.body(parameters, "{object}") else: _json = None request = build_create_pipeline_run_request( pipeline_name=pipeline_name, reference_pipeline_run_id=reference_pipeline_run_id, is_recovery=is_recovery, start_activity_name=start_activity_name, api_version=api_version, content_type=content_type, json=_json, content=_content, template_url=self.create_pipeline_run.metadata["url"], headers=_headers, params=_params, ) request = _convert_request(request) path_format_arguments = { "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True), } request.url = self._client.format_url(request.url, **path_format_arguments) # type: ignore pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access request, stream=False, **kwargs ) response = pipeline_response.http_response if response.status_code not in [202]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response) deserialized = self._deserialize("CreateRunResponse", pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized
create_pipeline_run.metadata = {"url": "/pipelines/{pipelineName}/createRun"} # type: ignore