airflow datafusion 源码
airflow datafusion 代码
文件路径：/airflow/providers/google/cloud/operators/datafusion.py
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# to you under the Apache License, Version 2.0 (the
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#
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"""This module contains Google DataFusion operators."""
from __future__ import annotations
from time import sleep
from typing import TYPE_CHECKING, Any, Sequence
from google.api_core.retry import exponential_sleep_generator
from googleapiclient.errors import HttpError
from airflow.models import BaseOperator
from airflow.providers.google.cloud.hooks.datafusion import SUCCESS_STATES, DataFusionHook, PipelineStates
from airflow.providers.google.cloud.links.base import BaseGoogleLink
if TYPE_CHECKING:
from airflow.utils.context import Context
BASE_LINK = "https://console.cloud.google.com/data-fusion"
DATAFUSION_INSTANCE_LINK = BASE_LINK + "/locations/{region}/instances/{instance_name}?project={project_id}"
DATAFUSION_PIPELINES_LINK = "{uri}/cdap/ns/default/pipelines"
DATAFUSION_PIPELINE_LINK = "{uri}/pipelines/ns/default/view/{pipeline_name}"
class DataFusionPipelineLinkHelper:
"""Helper class for Pipeline links"""
@staticmethod
def get_project_id(instance):
instance = instance["name"]
project_id = [x for x in instance.split("/") if x.startswith("airflow")][0]
return project_id
class DataFusionInstanceLink(BaseGoogleLink):
"""Helper class for constructing Data Fusion Instance link"""
name = "Data Fusion Instance"
key = "instance_conf"
format_str = DATAFUSION_INSTANCE_LINK
@staticmethod
def persist(
context: Context,
task_instance: (
CloudDataFusionRestartInstanceOperator
| CloudDataFusionCreateInstanceOperator
| CloudDataFusionUpdateInstanceOperator
| CloudDataFusionGetInstanceOperator
),
project_id: str,
):
task_instance.xcom_push(
context=context,
key=DataFusionInstanceLink.key,
value={
"region": task_instance.location,
"instance_name": task_instance.instance_name,
"project_id": project_id,
},
)
class DataFusionPipelineLink(BaseGoogleLink):
"""Helper class for constructing Data Fusion Pipeline link"""
name = "Data Fusion Pipeline"
key = "pipeline_conf"
format_str = DATAFUSION_PIPELINE_LINK
@staticmethod
def persist(
context: Context,
task_instance: (
CloudDataFusionCreatePipelineOperator
| CloudDataFusionStartPipelineOperator
| CloudDataFusionStopPipelineOperator
),
uri: str,
):
task_instance.xcom_push(
context=context,
key=DataFusionPipelineLink.key,
value={
"uri": uri,
"pipeline_name": task_instance.pipeline_name,
},
)
class DataFusionPipelinesLink(BaseGoogleLink):
"""Helper class for constructing list of Data Fusion Pipelines link"""
name = "Data Fusion Pipelines"
key = "pipelines_conf"
format_str = DATAFUSION_PIPELINES_LINK
@staticmethod
def persist(
context: Context,
task_instance: CloudDataFusionListPipelinesOperator,
uri: str,
):
task_instance.xcom_push(
context=context,
key=DataFusionPipelinesLink.key,
value={
"uri": uri,
},
)
class CloudDataFusionRestartInstanceOperator(BaseOperator):
"""
Restart a single Data Fusion instance.
At the end of an operation instance is fully restarted.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CloudDataFusionRestartInstanceOperator`
:param instance_name: The name of the instance to restart.
:param location: The Cloud Data Fusion location in which to handle the request.
:param project_id: The ID of the Google Cloud project that the instance belongs to.
:param api_version: The version of the api that will be requested for example 'v3'.
:param gcp_conn_id: The connection ID to use when fetching connection info.
:param delegate_to: The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making 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).
"""
template_fields: Sequence[str] = (
"instance_name",
"impersonation_chain",
)
operator_extra_links = (DataFusionInstanceLink(),)
def __init__(
self,
*,
instance_name: str,
location: str,
project_id: str | None = None,
api_version: str = "v1beta1",
gcp_conn_id: str = "google_cloud_default",
delegate_to: str | None = None,
impersonation_chain: str | Sequence[str] | None = None,
**kwargs,
) -> None:
super().__init__(**kwargs)
self.instance_name = instance_name
self.location = location
self.project_id = project_id
self.api_version = api_version
self.gcp_conn_id = gcp_conn_id
self.delegate_to = delegate_to
self.impersonation_chain = impersonation_chain
def execute(self, context: Context) -> None:
hook = DataFusionHook(
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("Restarting Data Fusion instance: %s", self.instance_name)
operation = hook.restart_instance(
instance_name=self.instance_name,
location=self.location,
project_id=self.project_id,
)
instance = hook.wait_for_operation(operation)
self.log.info("Instance %s restarted successfully", self.instance_name)
project_id = self.project_id or DataFusionPipelineLinkHelper.get_project_id(instance)
DataFusionInstanceLink.persist(context=context, task_instance=self, project_id=project_id)
class CloudDataFusionDeleteInstanceOperator(BaseOperator):
"""
Deletes a single Date Fusion instance.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CloudDataFusionDeleteInstanceOperator`
:param instance_name: The name of the instance to restart.
:param location: The Cloud Data Fusion location in which to handle the request.
:param project_id: The ID of the Google Cloud project that the instance belongs to.
:param api_version: The version of the api that will be requested for example 'v3'.
:param gcp_conn_id: The connection ID to use when fetching connection info.
:param delegate_to: The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making 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).
"""
template_fields: Sequence[str] = (
"instance_name",
"impersonation_chain",
)
def __init__(
self,
*,
instance_name: str,
location: str,
project_id: str | None = None,
api_version: str = "v1beta1",
gcp_conn_id: str = "google_cloud_default",
delegate_to: str | None = None,
impersonation_chain: str | Sequence[str] | None = None,
**kwargs,
) -> None:
super().__init__(**kwargs)
self.instance_name = instance_name
self.location = location
self.project_id = project_id
self.api_version = api_version
self.gcp_conn_id = gcp_conn_id
self.delegate_to = delegate_to
self.impersonation_chain = impersonation_chain
def execute(self, context: Context) -> None:
hook = DataFusionHook(
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 Data Fusion instance: %s", self.instance_name)
operation = hook.delete_instance(
instance_name=self.instance_name,
location=self.location,
project_id=self.project_id,
)
hook.wait_for_operation(operation)
self.log.info("Instance %s deleted successfully", self.instance_name)
class CloudDataFusionCreateInstanceOperator(BaseOperator):
"""
Creates a new Data Fusion instance in the specified project and location.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CloudDataFusionCreateInstanceOperator`
:param instance_name: The name of the instance to create.
:param instance: An instance of Instance.
https://cloud.google.com/data-fusion/docs/reference/rest/v1beta1/projects.locations.instances#Instance
:param location: The Cloud Data Fusion location in which to handle the request.
:param project_id: The ID of the Google Cloud project that the instance belongs to.
:param api_version: The version of the api that will be requested for example 'v3'.
:param gcp_conn_id: The connection ID to use when fetching connection info.
:param delegate_to: The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making 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).
"""
template_fields: Sequence[str] = (
"instance_name",
"instance",
"impersonation_chain",
)
operator_extra_links = (DataFusionInstanceLink(),)
def __init__(
self,
*,
instance_name: str,
instance: dict[str, Any],
location: str,
project_id: str | None = None,
api_version: str = "v1beta1",
gcp_conn_id: str = "google_cloud_default",
delegate_to: str | None = None,
impersonation_chain: str | Sequence[str] | None = None,
**kwargs,
) -> None:
super().__init__(**kwargs)
self.instance_name = instance_name
self.instance = instance
self.location = location
self.project_id = project_id
self.api_version = api_version
self.gcp_conn_id = gcp_conn_id
self.delegate_to = delegate_to
self.impersonation_chain = impersonation_chain
def execute(self, context: Context) -> dict:
hook = DataFusionHook(
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 Data Fusion instance: %s", self.instance_name)
try:
operation = hook.create_instance(
instance_name=self.instance_name,
instance=self.instance,
location=self.location,
project_id=self.project_id,
)
instance = hook.wait_for_operation(operation)
self.log.info("Instance %s created successfully", self.instance_name)
except HttpError as err:
if err.resp.status not in (409, '409'):
raise
self.log.info("Instance %s already exists", self.instance_name)
instance = hook.get_instance(
instance_name=self.instance_name, location=self.location, project_id=self.project_id
)
# Wait for instance to be ready
for time_to_wait in exponential_sleep_generator(initial=10, maximum=120):
if instance['state'] != 'CREATING':
break
sleep(time_to_wait)
instance = hook.get_instance(
instance_name=self.instance_name, location=self.location, project_id=self.project_id
)
project_id = self.project_id or DataFusionPipelineLinkHelper.get_project_id(instance)
DataFusionInstanceLink.persist(context=context, task_instance=self, project_id=project_id)
return instance
class CloudDataFusionUpdateInstanceOperator(BaseOperator):
"""
Updates a single Data Fusion instance.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CloudDataFusionUpdateInstanceOperator`
:param instance_name: The name of the instance to create.
:param instance: An instance of Instance.
https://cloud.google.com/data-fusion/docs/reference/rest/v1beta1/projects.locations.instances#Instance
:param update_mask: Field mask is used to specify the fields that the update will overwrite
in an instance resource. The fields specified in the updateMask are relative to the resource,
not the full request. A field will be overwritten if it is in the mask. If the user does not
provide a mask, all the supported fields (labels and options currently) will be overwritten.
A comma-separated list of fully qualified names of fields. Example: "user.displayName,photo".
https://developers.google.com/protocol-buffers/docs/reference/google.protobuf?_ga=2.205612571.-968688242.1573564810#google.protobuf.FieldMask
:param location: The Cloud Data Fusion location in which to handle the request.
:param project_id: The ID of the Google Cloud project that the instance belongs to.
:param api_version: The version of the api that will be requested for example 'v3'.
:param gcp_conn_id: The connection ID to use when fetching connection info.
:param delegate_to: The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making 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).
"""
template_fields: Sequence[str] = (
"instance_name",
"instance",
"impersonation_chain",
)
operator_extra_links = (DataFusionInstanceLink(),)
def __init__(
self,
*,
instance_name: str,
instance: dict[str, Any],
update_mask: str,
location: str,
project_id: str | None = None,
api_version: str = "v1beta1",
gcp_conn_id: str = "google_cloud_default",
delegate_to: str | None = None,
impersonation_chain: str | Sequence[str] | None = None,
**kwargs,
) -> None:
super().__init__(**kwargs)
self.update_mask = update_mask
self.instance_name = instance_name
self.instance = instance
self.location = location
self.project_id = project_id
self.api_version = api_version
self.gcp_conn_id = gcp_conn_id
self.delegate_to = delegate_to
self.impersonation_chain = impersonation_chain
def execute(self, context: Context) -> None:
hook = DataFusionHook(
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("Updating Data Fusion instance: %s", self.instance_name)
operation = hook.patch_instance(
instance_name=self.instance_name,
instance=self.instance,
update_mask=self.update_mask,
location=self.location,
project_id=self.project_id,
)
instance = hook.wait_for_operation(operation)
self.log.info("Instance %s updated successfully", self.instance_name)
project_id = self.project_id or DataFusionPipelineLinkHelper.get_project_id(instance)
DataFusionInstanceLink.persist(context=context, task_instance=self, project_id=project_id)
class CloudDataFusionGetInstanceOperator(BaseOperator):
"""
Gets details of a single Data Fusion instance.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CloudDataFusionGetInstanceOperator`
:param instance_name: The name of the instance.
:param location: The Cloud Data Fusion location in which to handle the request.
:param project_id: The ID of the Google Cloud project that the instance belongs to.
:param api_version: The version of the api that will be requested for example 'v3'.
:param gcp_conn_id: The connection ID to use when fetching connection info.
:param delegate_to: The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making 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).
"""
template_fields: Sequence[str] = (
"instance_name",
"impersonation_chain",
)
operator_extra_links = (DataFusionInstanceLink(),)
def __init__(
self,
*,
instance_name: str,
location: str,
project_id: str | None = None,
api_version: str = "v1beta1",
gcp_conn_id: str = "google_cloud_default",
delegate_to: str | None = None,
impersonation_chain: str | Sequence[str] | None = None,
**kwargs,
) -> None:
super().__init__(**kwargs)
self.instance_name = instance_name
self.location = location
self.project_id = project_id
self.api_version = api_version
self.gcp_conn_id = gcp_conn_id
self.delegate_to = delegate_to
self.impersonation_chain = impersonation_chain
def execute(self, context: Context) -> dict:
hook = DataFusionHook(
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 Data Fusion instance: %s", self.instance_name)
instance = hook.get_instance(
instance_name=self.instance_name,
location=self.location,
project_id=self.project_id,
)
project_id = self.project_id or DataFusionPipelineLinkHelper.get_project_id(instance)
DataFusionInstanceLink.persist(context=context, task_instance=self, project_id=project_id)
return instance
class CloudDataFusionCreatePipelineOperator(BaseOperator):
"""
Creates a Cloud Data Fusion pipeline.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CloudDataFusionCreatePipelineOperator`
:param pipeline_name: Your pipeline name.
:param pipeline: The pipeline definition. For more information check:
https://docs.cdap.io/cdap/current/en/developer-manual/pipelines/developing-pipelines.html#pipeline-configuration-file-format
:param instance_name: The name of the instance.
:param location: The Cloud Data Fusion location in which to handle the request.
:param namespace: If your pipeline belongs to a Basic edition instance, the namespace ID
is always default. If your pipeline belongs to an Enterprise edition instance, you
can create a namespace.
:param api_version: The version of the api that will be requested for example 'v3'.
:param gcp_conn_id: The connection ID to use when fetching connection info.
:param delegate_to: The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making 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).
"""
template_fields: Sequence[str] = (
"instance_name",
"pipeline_name",
"impersonation_chain",
)
operator_extra_links = (DataFusionPipelineLink(),)
def __init__(
self,
*,
pipeline_name: str,
pipeline: dict[str, Any],
instance_name: str,
location: str,
namespace: str = "default",
project_id: str | None = None,
api_version: str = "v1beta1",
gcp_conn_id: str = "google_cloud_default",
delegate_to: str | None = None,
impersonation_chain: str | Sequence[str] | None = None,
**kwargs,
) -> None:
super().__init__(**kwargs)
self.pipeline_name = pipeline_name
self.pipeline = pipeline
self.namespace = namespace
self.instance_name = instance_name
self.location = location
self.project_id = project_id
self.api_version = api_version
self.gcp_conn_id = gcp_conn_id
self.delegate_to = delegate_to
self.impersonation_chain = impersonation_chain
def execute(self, context: Context) -> None:
hook = DataFusionHook(
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 Data Fusion pipeline: %s", self.pipeline_name)
instance = hook.get_instance(
instance_name=self.instance_name,
location=self.location,
project_id=self.project_id,
)
api_url = instance["apiEndpoint"]
hook.create_pipeline(
pipeline_name=self.pipeline_name,
pipeline=self.pipeline,
instance_url=api_url,
namespace=self.namespace,
)
DataFusionPipelineLink.persist(context=context, task_instance=self, uri=instance["serviceEndpoint"])
self.log.info("Pipeline created")
class CloudDataFusionDeletePipelineOperator(BaseOperator):
"""
Deletes a Cloud Data Fusion pipeline.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CloudDataFusionDeletePipelineOperator`
:param pipeline_name: Your pipeline name.
:param version_id: Version of pipeline to delete
:param instance_name: The name of the instance.
:param location: The Cloud Data Fusion location in which to handle the request.
:param namespace: If your pipeline belongs to a Basic edition instance, the namespace ID
is always default. If your pipeline belongs to an Enterprise edition instance, you
can create a namespace.
:param api_version: The version of the api that will be requested for example 'v3'.
:param gcp_conn_id: The connection ID to use when fetching connection info.
:param delegate_to: The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making 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).
"""
template_fields: Sequence[str] = (
"instance_name",
"version_id",
"pipeline_name",
"impersonation_chain",
)
def __init__(
self,
*,
pipeline_name: str,
instance_name: str,
location: str,
version_id: str | None = None,
namespace: str = "default",
project_id: str | None = None,
api_version: str = "v1beta1",
gcp_conn_id: str = "google_cloud_default",
delegate_to: str | None = None,
impersonation_chain: str | Sequence[str] | None = None,
**kwargs,
) -> None:
super().__init__(**kwargs)
self.pipeline_name = pipeline_name
self.version_id = version_id
self.namespace = namespace
self.instance_name = instance_name
self.location = location
self.project_id = project_id
self.api_version = api_version
self.gcp_conn_id = gcp_conn_id
self.delegate_to = delegate_to
self.impersonation_chain = impersonation_chain
def execute(self, context: Context) -> None:
hook = DataFusionHook(
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 Data Fusion pipeline: %s", self.pipeline_name)
instance = hook.get_instance(
instance_name=self.instance_name,
location=self.location,
project_id=self.project_id,
)
api_url = instance["apiEndpoint"]
hook.delete_pipeline(
pipeline_name=self.pipeline_name,
version_id=self.version_id,
instance_url=api_url,
namespace=self.namespace,
)
self.log.info("Pipeline deleted")
class CloudDataFusionListPipelinesOperator(BaseOperator):
"""
Lists Cloud Data Fusion pipelines.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CloudDataFusionListPipelinesOperator`
:param instance_name: The name of the instance.
:param location: The Cloud Data Fusion location in which to handle the request.
:param artifact_version: Artifact version to filter instances
:param artifact_name: Artifact name to filter instances
:param namespace: If your pipeline belongs to a Basic edition instance, the namespace ID
is always default. If your pipeline belongs to an Enterprise edition instance, you
can create a namespace.
:param api_version: The version of the api that will be requested for example 'v3'.
:param gcp_conn_id: The connection ID to use when fetching connection info.
:param delegate_to: The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making 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).
"""
template_fields: Sequence[str] = (
"instance_name",
"artifact_name",
"artifact_version",
"impersonation_chain",
)
operator_extra_links = (DataFusionPipelinesLink(),)
def __init__(
self,
*,
instance_name: str,
location: str,
artifact_name: str | None = None,
artifact_version: str | None = None,
namespace: str = "default",
project_id: str | None = None,
api_version: str = "v1beta1",
gcp_conn_id: str = "google_cloud_default",
delegate_to: str | None = None,
impersonation_chain: str | Sequence[str] | None = None,
**kwargs,
) -> None:
super().__init__(**kwargs)
self.artifact_version = artifact_version
self.artifact_name = artifact_name
self.namespace = namespace
self.instance_name = instance_name
self.location = location
self.project_id = project_id
self.api_version = api_version
self.gcp_conn_id = gcp_conn_id
self.delegate_to = delegate_to
self.impersonation_chain = impersonation_chain
def execute(self, context: Context) -> dict:
hook = DataFusionHook(
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 Data Fusion pipelines")
instance = hook.get_instance(
instance_name=self.instance_name,
location=self.location,
project_id=self.project_id,
)
api_url = instance["apiEndpoint"]
pipelines = hook.list_pipelines(
instance_url=api_url,
namespace=self.namespace,
artifact_version=self.artifact_version,
artifact_name=self.artifact_name,
)
self.log.info("%s", pipelines)
DataFusionPipelinesLink.persist(context=context, task_instance=self, uri=instance["serviceEndpoint"])
return pipelines
class CloudDataFusionStartPipelineOperator(BaseOperator):
"""
Starts a Cloud Data Fusion pipeline. Works for both batch and stream pipelines.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CloudDataFusionStartPipelineOperator`
:param pipeline_name: Your pipeline name.
:param instance_name: The name of the instance.
:param success_states: If provided the operator will wait for pipeline to be in one of
the provided states.
:param pipeline_timeout: How long (in seconds) operator should wait for the pipeline to be in one of
``success_states``. Works only if ``success_states`` are provided.
:param location: The Cloud Data Fusion location in which to handle the request.
:param runtime_args: Optional runtime args to be passed to the pipeline
:param namespace: If your pipeline belongs to a Basic edition instance, the namespace ID
is always default. If your pipeline belongs to an Enterprise edition instance, you
can create a namespace.
:param api_version: The version of the api that will be requested for example 'v3'.
:param gcp_conn_id: The connection ID to use when fetching connection info.
:param delegate_to: The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making 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 to return after submitting the pipeline Id to the Data Fusion API.
This is useful for submitting long running pipelines and
waiting on them asynchronously using the CloudDataFusionPipelineStateSensor
"""
template_fields: Sequence[str] = (
"instance_name",
"pipeline_name",
"runtime_args",
"impersonation_chain",
)
operator_extra_links = (DataFusionPipelineLink(),)
def __init__(
self,
*,
pipeline_name: str,
instance_name: str,
location: str,
runtime_args: dict[str, Any] | None = None,
success_states: list[str] | None = None,
namespace: str = "default",
pipeline_timeout: int = 5 * 60,
project_id: str | None = None,
api_version: str = "v1beta1",
gcp_conn_id: str = "google_cloud_default",
delegate_to: str | None = None,
impersonation_chain: str | Sequence[str] | None = None,
asynchronous=False,
**kwargs,
) -> None:
super().__init__(**kwargs)
self.pipeline_name = pipeline_name
self.runtime_args = runtime_args
self.namespace = namespace
self.instance_name = instance_name
self.location = location
self.project_id = project_id
self.api_version = api_version
self.gcp_conn_id = gcp_conn_id
self.delegate_to = delegate_to
self.impersonation_chain = impersonation_chain
self.asynchronous = asynchronous
self.pipeline_timeout = pipeline_timeout
if success_states:
self.success_states = success_states
else:
self.success_states = SUCCESS_STATES + [PipelineStates.RUNNING]
def execute(self, context: Context) -> str:
hook = DataFusionHook(
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("Starting Data Fusion pipeline: %s", self.pipeline_name)
instance = hook.get_instance(
instance_name=self.instance_name,
location=self.location,
project_id=self.project_id,
)
api_url = instance["apiEndpoint"]
pipeline_id = hook.start_pipeline(
pipeline_name=self.pipeline_name,
instance_url=api_url,
namespace=self.namespace,
runtime_args=self.runtime_args,
)
self.log.info("Pipeline %s submitted successfully.", pipeline_id)
DataFusionPipelineLink.persist(context=context, task_instance=self, uri=instance["serviceEndpoint"])
if not self.asynchronous:
self.log.info("Waiting when pipeline %s will be in one of the success states", pipeline_id)
hook.wait_for_pipeline_state(
success_states=self.success_states,
pipeline_id=pipeline_id,
pipeline_name=self.pipeline_name,
namespace=self.namespace,
instance_url=api_url,
timeout=self.pipeline_timeout,
)
self.log.info("Job %s discover success state.", pipeline_id)
return pipeline_id
class CloudDataFusionStopPipelineOperator(BaseOperator):
"""
Stops a Cloud Data Fusion pipeline. Works for both batch and stream pipelines.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CloudDataFusionStopPipelineOperator`
:param pipeline_name: Your pipeline name.
:param instance_name: The name of the instance.
:param location: The Cloud Data Fusion location in which to handle the request.
:param namespace: If your pipeline belongs to a Basic edition instance, the namespace ID
is always default. If your pipeline belongs to an Enterprise edition instance, you
can create a namespace.
:param api_version: The version of the api that will be requested for example 'v3'.
:param gcp_conn_id: The connection ID to use when fetching connection info.
:param delegate_to: The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making 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).
"""
template_fields: Sequence[str] = (
"instance_name",
"pipeline_name",
"impersonation_chain",
)
operator_extra_links = (DataFusionPipelineLink(),)
def __init__(
self,
*,
pipeline_name: str,
instance_name: str,
location: str,
namespace: str = "default",
project_id: str | None = None,
api_version: str = "v1beta1",
gcp_conn_id: str = "google_cloud_default",
delegate_to: str | None = None,
impersonation_chain: str | Sequence[str] | None = None,
**kwargs,
) -> None:
super().__init__(**kwargs)
self.pipeline_name = pipeline_name
self.namespace = namespace
self.instance_name = instance_name
self.location = location
self.project_id = project_id
self.api_version = api_version
self.gcp_conn_id = gcp_conn_id
self.delegate_to = delegate_to
self.impersonation_chain = impersonation_chain
def execute(self, context: Context) -> None:
hook = DataFusionHook(
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("Data Fusion pipeline: %s is going to be stopped", self.pipeline_name)
instance = hook.get_instance(
instance_name=self.instance_name,
location=self.location,
project_id=self.project_id,
)
api_url = instance["apiEndpoint"]
DataFusionPipelineLink.persist(context=context, task_instance=self, uri=instance["serviceEndpoint"])
hook.stop_pipeline(
pipeline_name=self.pipeline_name,
instance_url=api_url,
namespace=self.namespace,
)
self.log.info("Pipeline stopped")
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