airflow dataform 源码

  • 2022-10-20
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airflow dataform 代码

文件路径:/airflow/providers/google/cloud/operators/dataform.py

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
from __future__ import annotations

from typing import TYPE_CHECKING, Sequence

from airflow.providers.google.cloud.links.dataform import DataformWorkflowInvocationLink

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
from google.cloud.dataform_v1beta1.types import CompilationResult, WorkflowInvocation

from airflow.models import BaseOperator
from airflow.providers.google.cloud.hooks.dataform import DataformHook


class DataformCreateCompilationResultOperator(BaseOperator):
    """
    Creates a new CompilationResult in a given project and location.

    :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 repository_id: Required. The ID of the Dataform repository that the task belongs to.
    :param compilation_result:  Required. The compilation result to create.
    :param retry: Designation of what errors, if any, should be retried.
    :param timeout: The timeout for this request.
    :param metadata: Strings which should be sent along with the request as metadata.
    :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).
    """

    def __init__(
        self,
        project_id: str,
        region: str,
        repository_id: str,
        compilation_result: CompilationResult | dict,
        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.repository_id = repository_id
        self.compilation_result = compilation_result
        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

    def execute(self, context: Context):
        hook = DataformHook(
            gcp_conn_id=self.gcp_conn_id,
            delegate_to=self.delegate_to,
            impersonation_chain=self.impersonation_chain,
        )
        result = hook.create_compilation_result(
            project_id=self.project_id,
            region=self.region,
            repository_id=self.repository_id,
            compilation_result=self.compilation_result,
            retry=self.retry,
            timeout=self.timeout,
            metadata=self.metadata,
        )
        return CompilationResult.to_dict(result)


class DataformGetCompilationResultOperator(BaseOperator):
    """
    Fetches a single CompilationResult.

    :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 repository_id: Required. The ID of the Dataform repository that the task belongs to.
    :param compilation_result_id:  The Id of the Dataform Compilation Result
    :param retry: Designation of what errors, if any, should be retried.
    :param timeout: The timeout for this request.
    :param metadata: Strings which should be sent along with the request as metadata.
    :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).
    """

    template_fields = ("repository_id", "compilation_result_id", "delegate_to", "impersonation_chain")

    def __init__(
        self,
        project_id: str,
        region: str,
        repository_id: str,
        compilation_result_id: str,
        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.repository_id = repository_id
        self.compilation_result_id = compilation_result_id
        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

    def execute(self, context: Context):
        hook = DataformHook(
            gcp_conn_id=self.gcp_conn_id,
            delegate_to=self.delegate_to,
            impersonation_chain=self.impersonation_chain,
        )
        result = hook.get_compilation_result(
            project_id=self.project_id,
            region=self.region,
            repository_id=self.repository_id,
            compilation_result_id=self.compilation_result_id,
            retry=self.retry,
            timeout=self.timeout,
            metadata=self.metadata,
        )
        return CompilationResult.to_dict(result)


class DataformCreateWorkflowInvocationOperator(BaseOperator):
    """
    Creates a new WorkflowInvocation in a given Repository.

    :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 repository_id: Required. The ID of the Dataform repository that the task belongs to.
    :param workflow_invocation:  Required. The workflow invocation resource to create.
    :param retry: Designation of what errors, if any, should be retried.
    :param timeout: The timeout for this request.
    :param metadata: Strings which should be sent along with the request as metadata.
    :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 to return workflow_invocation_id from the Dataform API.
        This is useful for submitting long running workflows and
        waiting on them asynchronously using the DataformWorkflowInvocationStateSensor
    :param wait_time: Number of seconds between checks
    """

    template_fields = ("workflow_invocation", "delegate_to", "impersonation_chain")
    operator_extra_links = (DataformWorkflowInvocationLink(),)

    def __init__(
        self,
        project_id: str,
        region: str,
        repository_id: str,
        workflow_invocation: WorkflowInvocation | dict,
        retry: Retry | _MethodDefault = DEFAULT,
        timeout: int | 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,
        wait_time: int = 10,
        *args,
        **kwargs,
    ) -> None:
        super().__init__(*args, **kwargs)
        self.project_id = project_id
        self.region = region
        self.repository_id = repository_id
        self.workflow_invocation = workflow_invocation
        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
        self.wait_time = wait_time

    def execute(self, context: Context):
        hook = DataformHook(
            gcp_conn_id=self.gcp_conn_id,
            delegate_to=self.delegate_to,
            impersonation_chain=self.impersonation_chain,
        )
        result = hook.create_workflow_invocation(
            project_id=self.project_id,
            region=self.region,
            repository_id=self.repository_id,
            workflow_invocation=self.workflow_invocation,
            retry=self.retry,
            timeout=self.timeout,
            metadata=self.metadata,
        )
        workflow_invocation_id = result.name.split("/")[-1]
        DataformWorkflowInvocationLink.persist(
            operator_instance=self,
            context=context,
            project_id=self.project_id,
            region=self.region,
            repository_id=self.repository_id,
            workflow_invocation_id=workflow_invocation_id,
        )
        if not self.asynchronous:
            hook.wait_for_workflow_invocation(
                workflow_invocation_id=workflow_invocation_id,
                repository_id=self.repository_id,
                project_id=self.project_id,
                region=self.region,
                timeout=self.timeout,
                wait_time=self.wait_time,
            )
        return WorkflowInvocation.to_dict(result)


class DataformGetWorkflowInvocationOperator(BaseOperator):
    """
    Fetches a single WorkflowInvocation.

    :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 repository_id: Required. The ID of the Dataform repository that the task belongs to.
    :param workflow_invocation_id:  the workflow invocation resource's id.
    :param retry: Designation of what errors, if any, should be retried.
    :param timeout: The timeout for this request.
    :param metadata: Strings which should be sent along with the request as metadata.
    :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).
    """

    template_fields = ("repository_id", "workflow_invocation_id", "delegate_to", "impersonation_chain")
    operator_extra_links = (DataformWorkflowInvocationLink(),)

    def __init__(
        self,
        project_id: str,
        region: str,
        repository_id: str,
        workflow_invocation_id: str,
        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.repository_id = repository_id
        self.workflow_invocation_id = workflow_invocation_id
        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

    def execute(self, context: Context):
        hook = DataformHook(
            gcp_conn_id=self.gcp_conn_id,
            delegate_to=self.delegate_to,
            impersonation_chain=self.impersonation_chain,
        )
        result = hook.get_workflow_invocation(
            project_id=self.project_id,
            region=self.region,
            repository_id=self.repository_id,
            workflow_invocation_id=self.workflow_invocation_id,
            retry=self.retry,
            timeout=self.timeout,
            metadata=self.metadata,
        )
        return WorkflowInvocation.to_dict(result)


class DataformCancelWorkflowInvocationOperator(BaseOperator):
    """
    Requests cancellation of a running WorkflowInvocation.

    :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 repository_id: Required. The ID of the Dataform repository that the task belongs to.
    :param workflow_invocation_id:  the workflow invocation resource's id.
    :param retry: Designation of what errors, if any, should be retried.
    :param timeout: The timeout for this request.
    :param metadata: Strings which should be sent along with the request as metadata.
    :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).
    """

    template_fields = ("repository_id", "workflow_invocation_id", "delegate_to", "impersonation_chain")
    operator_extra_links = (DataformWorkflowInvocationLink(),)

    def __init__(
        self,
        project_id: str,
        region: str,
        repository_id: str,
        workflow_invocation_id: str,
        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.repository_id = repository_id
        self.workflow_invocation_id = workflow_invocation_id
        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

    def execute(self, context: Context):
        hook = DataformHook(
            gcp_conn_id=self.gcp_conn_id,
            delegate_to=self.delegate_to,
            impersonation_chain=self.impersonation_chain,
        )
        hook.cancel_workflow_invocation(
            project_id=self.project_id,
            region=self.region,
            repository_id=self.repository_id,
            workflow_invocation_id=self.workflow_invocation_id,
            retry=self.retry,
            timeout=self.timeout,
            metadata=self.metadata,
        )

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