Source code for airflow.providers.google.cloud.operators.dataplex

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"""This module contains Google Dataplex operators."""
from __future__ import annotations

from time import sleep
from typing import TYPE_CHECKING, Any, Sequence

if TYPE_CHECKING:
    from airflow.utils.context import Context

from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
from google.api_core.retry import Retry, exponential_sleep_generator
from google.cloud.dataplex_v1.types import Task
from googleapiclient.errors import HttpError

from airflow.models import BaseOperator
from airflow.providers.google.cloud.hooks.dataplex import DataplexHook
from airflow.providers.google.cloud.links.dataplex import DataplexTaskLink, DataplexTasksLink


[docs]class DataplexCreateTaskOperator(BaseOperator): """ Creates a task resource within a lake. :param project_id: Required. The ID of the Google Cloud project that the task belongs to. :param region: Required. The ID of the Google Cloud region that the task belongs to. :param lake_id: Required. The ID of the Google Cloud lake that the task belongs to. :param body: Required. The Request body contains an instance of Task. :param dataplex_task_id: Required. Task identifier. :param validate_only: Optional. Only validate the request, but do not perform mutations. The default is false. :param api_version: The version of the api that will be requested for example 'v3'. :param retry: A retry object used to retry requests. If `None` is specified, requests will not be retried. :param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt. :param metadata: Additional metadata that is provided to the method. :param gcp_conn_id: The connection ID to use when fetching connection info. :param delegate_to: The account to impersonate, if any. For this to work, the service accountmaking the request must have domain-wide delegation enabled. :param impersonation_chain: Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated). :param asynchronous: Flag informing should the Dataplex task be created asynchronously. This is useful for long running creating tasks and waiting on them asynchronously using the DataplexTaskSensor """
[docs] template_fields = ( "project_id", "dataplex_task_id", "body", "validate_only", "delegate_to", "impersonation_chain",
)
[docs] template_fields_renderers = {'body': 'json'}
def __init__( self, project_id: str, region: str, lake_id: str, body: dict[str, Any], dataplex_task_id: str, validate_only: bool | None = None, api_version: str = "v1", retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), gcp_conn_id: str = "google_cloud_default", delegate_to: str | None = None, impersonation_chain: str | Sequence[str] | None = None, asynchronous: bool = False, *args, **kwargs, ) -> None: super().__init__(*args, **kwargs) self.project_id = project_id self.region = region self.lake_id = lake_id self.body = body self.dataplex_task_id = dataplex_task_id self.validate_only = validate_only self.api_version = api_version self.retry = retry self.timeout = timeout self.metadata = metadata self.gcp_conn_id = gcp_conn_id self.delegate_to = delegate_to self.impersonation_chain = impersonation_chain self.asynchronous = asynchronous
[docs] def execute(self, context: Context) -> dict: hook = DataplexHook( gcp_conn_id=self.gcp_conn_id, delegate_to=self.delegate_to, api_version=self.api_version, impersonation_chain=self.impersonation_chain, ) self.log.info("Creating Dataplex task %s", self.dataplex_task_id) DataplexTaskLink.persist(context=context, task_instance=self) try: operation = hook.create_task( project_id=self.project_id, region=self.region, lake_id=self.lake_id, body=self.body, dataplex_task_id=self.dataplex_task_id, validate_only=self.validate_only, retry=self.retry, timeout=self.timeout, metadata=self.metadata, ) if not self.asynchronous: self.log.info("Waiting for Dataplex task %s to be created", self.dataplex_task_id) task = hook.wait_for_operation(timeout=self.timeout, operation=operation) self.log.info("Task %s created successfully", self.dataplex_task_id) else: is_done = operation.done() self.log.info("Is operation done already? %s", is_done) return is_done except HttpError as err: if err.resp.status not in (409, '409'): raise self.log.info("Task %s already exists", self.dataplex_task_id) # Wait for task to be ready for time_to_wait in exponential_sleep_generator(initial=10, maximum=120): task = hook.get_task( project_id=self.project_id, region=self.region, lake_id=self.lake_id, dataplex_task_id=self.dataplex_task_id, retry=self.retry, timeout=self.timeout, metadata=self.metadata, ) if task['state'] != 'CREATING': break sleep(time_to_wait) return Task.to_dict(task)
[docs]class DataplexDeleteTaskOperator(BaseOperator): """ Delete the task resource. :param project_id: Required. The ID of the Google Cloud project that the task belongs to. :param region: Required. The ID of the Google Cloud region that the task belongs to. :param lake_id: Required. The ID of the Google Cloud lake that the task belongs to. :param dataplex_task_id: Required. Task identifier. :param api_version: The version of the api that will be requested for example 'v3'. :param retry: A retry object used to retry requests. If `None` is specified, requests will not be retried. :param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt. :param metadata: Additional metadata that is provided to the method. :param gcp_conn_id: The connection ID to use when fetching connection info. :param delegate_to: The account to impersonate, if any. For this to work, the service accountmaking the request must have domain-wide delegation enabled. :param impersonation_chain: Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated). """
[docs] template_fields = ("project_id", "dataplex_task_id", "delegate_to", "impersonation_chain")
def __init__( self, project_id: str, region: str, lake_id: str, dataplex_task_id: str, api_version: str = "v1", retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), gcp_conn_id: str = "google_cloud_default", delegate_to: str | None = None, impersonation_chain: str | Sequence[str] | None = None, *args, **kwargs, ) -> None: super().__init__(*args, **kwargs) self.project_id = project_id self.region = region self.lake_id = lake_id self.dataplex_task_id = dataplex_task_id self.api_version = api_version self.retry = retry self.timeout = timeout self.metadata = metadata self.gcp_conn_id = gcp_conn_id self.delegate_to = delegate_to self.impersonation_chain = impersonation_chain
[docs] def execute(self, context: Context) -> None: hook = DataplexHook( gcp_conn_id=self.gcp_conn_id, delegate_to=self.delegate_to, api_version=self.api_version, impersonation_chain=self.impersonation_chain, ) self.log.info("Deleting Dataplex task %s", self.dataplex_task_id) operation = hook.delete_task( project_id=self.project_id, region=self.region, lake_id=self.lake_id, dataplex_task_id=self.dataplex_task_id, retry=self.retry, timeout=self.timeout, metadata=self.metadata, ) hook.wait_for_operation(timeout=self.timeout, operation=operation) self.log.info("Dataplex task %s deleted successfully!", self.dataplex_task_id)
[docs]class DataplexListTasksOperator(BaseOperator): """ Lists tasks under the given lake. :param project_id: Required. The ID of the Google Cloud project that the task belongs to. :param region: Required. The ID of the Google Cloud region that the task belongs to. :param lake_id: Required. The ID of the Google Cloud lake that the task belongs to. :param page_size: Optional. Maximum number of tasks to return. The service may return fewer than this value. If unspecified, at most 10 tasks will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000. :param page_token: Optional. Page token received from a previous ListZones call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to ListZones must match the call that provided the page token. :param filter: Optional. Filter request. :param order_by: Optional. Order by fields for the result. :param api_version: The version of the api that will be requested for example 'v3'. :param retry: A retry object used to retry requests. If `None` is specified, requests will not be retried. :param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt. :param metadata: Additional metadata that is provided to the method. :param gcp_conn_id: The connection ID to use when fetching connection info. :param delegate_to: The account to impersonate, if any. For this to work, the service accountmaking the request must have domain-wide delegation enabled. :param impersonation_chain: Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated). """
[docs] template_fields = ( "project_id", "page_size", "page_token", "filter", "order_by", "delegate_to", "impersonation_chain",
) def __init__( self, project_id: str, region: str, lake_id: str, page_size: int | None = None, page_token: str | None = None, filter: str | None = None, order_by: str | None = None, api_version: str = "v1", retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), gcp_conn_id: str = "google_cloud_default", delegate_to: str | None = None, impersonation_chain: str | Sequence[str] | None = None, *args, **kwargs, ) -> None: super().__init__(*args, **kwargs) self.project_id = project_id self.region = region self.lake_id = lake_id self.page_size = page_size self.page_token = page_token self.filter = filter self.order_by = order_by self.api_version = api_version self.retry = retry self.timeout = timeout self.metadata = metadata self.gcp_conn_id = gcp_conn_id self.delegate_to = delegate_to self.impersonation_chain = impersonation_chain
[docs] def execute(self, context: Context) -> list[dict]: hook = DataplexHook( gcp_conn_id=self.gcp_conn_id, delegate_to=self.delegate_to, api_version=self.api_version, impersonation_chain=self.impersonation_chain, ) self.log.info("Listing Dataplex tasks from lake %s", self.lake_id) DataplexTasksLink.persist(context=context, task_instance=self) tasks = hook.list_tasks( project_id=self.project_id, region=self.region, lake_id=self.lake_id, page_size=self.page_size, page_token=self.page_token, filter=self.filter, order_by=self.order_by, retry=self.retry, timeout=self.timeout, metadata=self.metadata, ) return [Task.to_dict(task) for task in tasks]
[docs]class DataplexGetTaskOperator(BaseOperator): """ Get task resource. :param project_id: Required. The ID of the Google Cloud project that the task belongs to. :param region: Required. The ID of the Google Cloud region that the task belongs to. :param lake_id: Required. The ID of the Google Cloud lake that the task belongs to. :param dataplex_task_id: Required. Task identifier. :param api_version: The version of the api that will be requested for example 'v3'. :param retry: A retry object used to retry requests. If `None` is specified, requests will not be retried. :param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt. :param metadata: Additional metadata that is provided to the method. :param gcp_conn_id: The connection ID to use when fetching connection info. :param delegate_to: The account to impersonate, if any. For this to work, the service accountmaking the request must have domain-wide delegation enabled. :param impersonation_chain: Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated). """
[docs] template_fields = ("project_id", "dataplex_task_id", "delegate_to", "impersonation_chain")
def __init__( self, project_id: str, region: str, lake_id: str, dataplex_task_id: str, api_version: str = "v1", retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), gcp_conn_id: str = "google_cloud_default", delegate_to: str | None = None, impersonation_chain: str | Sequence[str] | None = None, *args, **kwargs, ) -> None: super().__init__(*args, **kwargs) self.project_id = project_id self.region = region self.lake_id = lake_id self.dataplex_task_id = dataplex_task_id self.api_version = api_version self.retry = retry self.timeout = timeout self.metadata = metadata self.gcp_conn_id = gcp_conn_id self.delegate_to = delegate_to self.impersonation_chain = impersonation_chain
[docs] def execute(self, context: Context) -> dict: hook = DataplexHook( gcp_conn_id=self.gcp_conn_id, delegate_to=self.delegate_to, api_version=self.api_version, impersonation_chain=self.impersonation_chain, ) self.log.info("Retrieving Dataplex task %s", self.dataplex_task_id) DataplexTaskLink.persist(context=context, task_instance=self) task = hook.get_task( project_id=self.project_id, region=self.region, lake_id=self.lake_id, dataplex_task_id=self.dataplex_task_id, retry=self.retry, timeout=self.timeout, metadata=self.metadata, ) return Task.to_dict(task)

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