Source code for azure.synapse.artifacts.aio.operations._trigger_run_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.
# --------------------------------------------------------------------------
from typing import Any, Callable, Dict, IO, Optional, TypeVar, Union, overload

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.rest import HttpRequest
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._trigger_run_operations import (
    build_cancel_trigger_instance_request,
    build_query_trigger_runs_by_workspace_request,
    build_rerun_trigger_instance_request,
)

T = TypeVar("T")
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]]


[docs]class TriggerRunOperations: """ .. warning:: **DO NOT** instantiate this class directly. Instead, you should access the following operations through :class:`~azure.synapse.artifacts.aio.ArtifactsClient`'s :attr:`trigger_run` 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_async async def rerun_trigger_instance( # pylint: disable=inconsistent-return-statements self, trigger_name: str, run_id: str, **kwargs: Any ) -> None: """Rerun single trigger instance by runId. :param trigger_name: The trigger name. Required. :type trigger_name: str :param run_id: The pipeline run identifier. Required. :type run_id: str :keyword callable cls: A custom type or function that will be passed the direct response :return: None or the result of cls(response) :rtype: 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[None] request = build_rerun_trigger_instance_request( trigger_name=trigger_name, run_id=run_id, api_version=api_version, template_url=self.rerun_trigger_instance.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]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response) if cls: return cls(pipeline_response, None, {})
rerun_trigger_instance.metadata = {"url": "/triggers/{triggerName}/triggerRuns/{runId}/rerun"} # type: ignore
[docs] @distributed_trace_async async def cancel_trigger_instance( # pylint: disable=inconsistent-return-statements self, trigger_name: str, run_id: str, **kwargs: Any ) -> None: """Cancel single trigger instance by runId. :param trigger_name: The trigger name. Required. :type trigger_name: str :param run_id: The pipeline run identifier. Required. :type run_id: str :keyword callable cls: A custom type or function that will be passed the direct response :return: None or the result of cls(response) :rtype: 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[None] request = build_cancel_trigger_instance_request( trigger_name=trigger_name, run_id=run_id, api_version=api_version, template_url=self.cancel_trigger_instance.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]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response) if cls: return cls(pipeline_response, None, {})
cancel_trigger_instance.metadata = {"url": "/triggers/{triggerName}/triggerRuns/{runId}/cancel"} # type: ignore @overload async def query_trigger_runs_by_workspace( self, filter_parameters: _models.RunFilterParameters, *, content_type: str = "application/json", **kwargs: Any ) -> _models.TriggerRunsQueryResponse: """Query trigger runs. :param filter_parameters: Parameters to filter the pipeline run. Required. :type filter_parameters: ~azure.synapse.artifacts.models.RunFilterParameters :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: TriggerRunsQueryResponse or the result of cls(response) :rtype: ~azure.synapse.artifacts.models.TriggerRunsQueryResponse :raises ~azure.core.exceptions.HttpResponseError: """ @overload async def query_trigger_runs_by_workspace( self, filter_parameters: IO, *, content_type: str = "application/json", **kwargs: Any ) -> _models.TriggerRunsQueryResponse: """Query trigger runs. :param filter_parameters: Parameters to filter the pipeline run. Required. :type filter_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: TriggerRunsQueryResponse or the result of cls(response) :rtype: ~azure.synapse.artifacts.models.TriggerRunsQueryResponse :raises ~azure.core.exceptions.HttpResponseError: """
[docs] @distributed_trace_async async def query_trigger_runs_by_workspace( self, filter_parameters: Union[_models.RunFilterParameters, IO], **kwargs: Any ) -> _models.TriggerRunsQueryResponse: """Query trigger runs. :param filter_parameters: Parameters to filter the pipeline run. Is either a model type or a IO type. Required. :type filter_parameters: ~azure.synapse.artifacts.models.RunFilterParameters 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: TriggerRunsQueryResponse or the result of cls(response) :rtype: ~azure.synapse.artifacts.models.TriggerRunsQueryResponse :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.TriggerRunsQueryResponse] content_type = content_type or "application/json" _json = None _content = None if isinstance(filter_parameters, (IO, bytes)): _content = filter_parameters else: _json = self._serialize.body(filter_parameters, "RunFilterParameters") request = build_query_trigger_runs_by_workspace_request( api_version=api_version, content_type=content_type, json=_json, content=_content, template_url=self.query_trigger_runs_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 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) deserialized = self._deserialize("TriggerRunsQueryResponse", pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized
query_trigger_runs_by_workspace.metadata = {"url": "/queryTriggerRuns"} # type: ignore