Class EnvironmentsAsyncClient (1.4.2)

EnvironmentsAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.orchestration.airflow.service_v1.services.environments.transports.base.EnvironmentsTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Managed Apache Airflow Environments.

Inheritance

builtins.object > EnvironmentsAsyncClient

Properties

transport

Returns the transport used by the client instance.

Returns
TypeDescription
EnvironmentsTransportThe transport used by the client instance.

Methods

EnvironmentsAsyncClient

EnvironmentsAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.orchestration.airflow.service_v1.services.environments.transports.base.EnvironmentsTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the environments client.

Parameters
NameDescription
credentials Optional[google.auth.credentials.Credentials]

The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.

transport Union[str, `.EnvironmentsTransport`]

The transport to use. If set to None, a transport is chosen automatically.

client_options ClientOptions

Custom options for the client. It won't take effect if a transport instance is provided. (1) The api_endpoint property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto switch to the default mTLS endpoint if client certificate is present, this is the default value). However, the api_endpoint property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the client_cert_source property can be used to provide client certificate for mutual TLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used.

Exceptions
TypeDescription
google.auth.exceptions.MutualTlsChannelErrorIf mutual TLS transport creation failed for any reason.

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

create_environment

create_environment(request: Optional[Union[google.cloud.orchestration.airflow.service_v1.types.environments.CreateEnvironmentRequest, dict]] = None, *, parent: Optional[str] = None, environment: Optional[google.cloud.orchestration.airflow.service_v1.types.environments.Environment] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Create a new environment.

from google.cloud.orchestration.airflow import service_v1

async def sample_create_environment():
    # Create a client
    client = service_v1.EnvironmentsAsyncClient()

    # Initialize request argument(s)
    request = service_v1.CreateEnvironmentRequest(
    )

    # Make the request
    operation = client.create_environment(request=request)

    print("Waiting for operation to complete...")

    response = await operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.orchestration.airflow.service_v1.types.CreateEnvironmentRequest, dict]

The request object. Create a new environment.

parent `str`

The parent must be of the form "projects/{projectId}/locations/{locationId}". This corresponds to the parent field on the request instance; if request is provided, this should not be set.

environment Environment

The environment to create. This corresponds to the environment field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.api_core.operation_async.AsyncOperationAn object representing a long-running operation. The result type for the operation will be Environment An environment for running orchestration tasks.

delete_environment

delete_environment(request: Optional[Union[google.cloud.orchestration.airflow.service_v1.types.environments.DeleteEnvironmentRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Delete an environment.

from google.cloud.orchestration.airflow import service_v1

async def sample_delete_environment():
    # Create a client
    client = service_v1.EnvironmentsAsyncClient()

    # Initialize request argument(s)
    request = service_v1.DeleteEnvironmentRequest(
    )

    # Make the request
    operation = client.delete_environment(request=request)

    print("Waiting for operation to complete...")

    response = await operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.orchestration.airflow.service_v1.types.DeleteEnvironmentRequest, dict]

The request object. Delete an environment.

name `str`

The environment to delete, in the form: "projects/{projectId}/locations/{locationId}/environments/{environmentId}" This corresponds to the name field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.api_core.operation_async.AsyncOperationAn object representing a long-running operation. The result type for the operation will be `google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }

environment_path

environment_path(project: str, location: str, environment: str)

Returns a fully-qualified environment string.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
EnvironmentsAsyncClientThe constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

Parameter
NameDescription
info dict

The service account private key info.

Returns
TypeDescription
EnvironmentsAsyncClientThe constructed client.

from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
EnvironmentsAsyncClientThe constructed client.

get_environment

get_environment(request: Optional[Union[google.cloud.orchestration.airflow.service_v1.types.environments.GetEnvironmentRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Get an existing environment.

from google.cloud.orchestration.airflow import service_v1

async def sample_get_environment():
    # Create a client
    client = service_v1.EnvironmentsAsyncClient()

    # Initialize request argument(s)
    request = service_v1.GetEnvironmentRequest(
    )

    # Make the request
    response = await client.get_environment(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.orchestration.airflow.service_v1.types.GetEnvironmentRequest, dict]

The request object. Get an environment.

name `str`

The resource name of the environment to get, in the form: "projects/{projectId}/locations/{locationId}/environments/{environmentId}" This corresponds to the name field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.orchestration.airflow.service_v1.types.EnvironmentAn environment for running orchestration tasks.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: Optional[google.api_core.client_options.ClientOptions] = None,
)

Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not "true", the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "always", use the default mTLS endpoint; if the environment variabel is "never", use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameter
NameDescription
client_options google.api_core.client_options.ClientOptions

Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.

Exceptions
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf any errors happen.
Returns
TypeDescription
Tuple[str, Callable[[], Tuple[bytes, bytes]]]returns the API endpoint and the client cert source to use.

get_transport_class

get_transport_class()

Returns an appropriate transport class.

list_environments

list_environments(request: Optional[Union[google.cloud.orchestration.airflow.service_v1.types.environments.ListEnvironmentsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

List environments.

from google.cloud.orchestration.airflow import service_v1

async def sample_list_environments():
    # Create a client
    client = service_v1.EnvironmentsAsyncClient()

    # Initialize request argument(s)
    request = service_v1.ListEnvironmentsRequest(
    )

    # Make the request
    page_result = client.list_environments(request=request)

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
NameDescription
request Union[google.cloud.orchestration.airflow.service_v1.types.ListEnvironmentsRequest, dict]

The request object. List environments in a project and location.

parent `str`

List environments in the given project and location, in the form: "projects/{projectId}/locations/{locationId}" This corresponds to the parent field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.orchestration.airflow.service_v1.services.environments.pagers.ListEnvironmentsAsyncPagerThe environments in a project and location. Iterating over this object will yield results and resolve additional pages automatically.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_environment_path

parse_environment_path(path: str)

Parses a environment path into its component segments.

update_environment

update_environment(request: Optional[Union[google.cloud.orchestration.airflow.service_v1.types.environments.UpdateEnvironmentRequest, dict]] = None, *, name: Optional[str] = None, environment: Optional[google.cloud.orchestration.airflow.service_v1.types.environments.Environment] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Update an environment.

from google.cloud.orchestration.airflow import service_v1

async def sample_update_environment():
    # Create a client
    client = service_v1.EnvironmentsAsyncClient()

    # Initialize request argument(s)
    request = service_v1.UpdateEnvironmentRequest(
    )

    # Make the request
    operation = client.update_environment(request=request)

    print("Waiting for operation to complete...")

    response = await operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.orchestration.airflow.service_v1.types.UpdateEnvironmentRequest, dict]

The request object. Update an environment.

name `str`

The relative resource name of the environment to update, in the form: "projects/{projectId}/locations/{locationId}/environments/{environmentId}" This corresponds to the name field on the request instance; if request is provided, this should not be set.

environment Environment

A patch environment. Fields specified by the updateMask will be copied from the patch environment into the environment under update. This corresponds to the environment field on the request instance; if request is provided, this should not be set.

update_mask `google.protobuf.field_mask_pb2.FieldMask`

Required. A comma-separated list of paths, relative to Environment, of fields to update. For example, to set the version of scikit-learn to install in the environment to 0.19.0 and to remove an existing installation of numpy, the updateMask parameter would include the following two paths values: "config.softwareConfig.pypiPackages.scikit-learn" and "config.softwareConfig.pypiPackages.numpy". The included patch environment would specify the scikit-learn version as follows: :: { "config":{ "softwareConfig":{ "pypiPackages":{ "scikit-learn":"==0.19.0" } } } } Note that in the above example, any existing PyPI packages other than scikit-learn and numpy will be unaffected. Only one update type may be included in a single request's updateMask. For example, one cannot update both the PyPI packages and labels in the same request. However, it is possible to update multiple members of a map field simultaneously in the same request. For example, to set the labels "label1" and "label2" while clearing "label3" (assuming it already exists), one can provide the paths "labels.label1", "labels.label2", and "labels.label3" and populate the patch environment as follows: :: { "labels":{ "label1":"new-label1-value" "label2":"new-label2-value" } } Note that in the above example, any existing labels that are not included in the updateMask will be unaffected. It is also possible to replace an entire map field by providing the map field's path in the updateMask. The new value of the field will be that which is provided in the patch environment. For example, to delete all pre-existing user-specified PyPI packages and install botocore at version 1.7.14, the updateMask would contain the path "config.softwareConfig.pypiPackages", and the patch environment would be the following: :: { "config":{ "softwareConfig":{ "pypiPackages":{ "botocore":"==1.7.14" } } } } Note: Only the following fields can be updated: - config.softwareConfig.pypiPackages - Replace all custom custom PyPI packages. If a replacement package map is not included in environment, all custom PyPI packages are cleared. It is an error to provide both this mask and a mask specifying an individual package. - config.softwareConfig.pypiPackages.\ packagename - Update the custom PyPI package packagename, preserving other packages. To delete the package, include it in updateMask, and omit the mapping for it in environment.config.softwareConfig.pypiPackages. It is an error to provide both a mask of this form and the config.softwareConfig.pypiPackages mask. - labels - Replace all environment labels. If a replacement labels map is not included in environment, all labels are cleared. It is an error to provide both this mask and a mask specifying one or more individual labels. - labels.\ labelName - Set the label named labelName, while preserving other labels. To delete the label, include it in updateMask and omit its mapping in environment.labels. It is an error to provide both a mask of this form and the labels mask. - config.nodeCount - Horizontally scale the number of nodes in the environment. An integer greater than or equal to 3 must be provided in the config.nodeCount field. - config.webServerNetworkAccessControl - Replace the environment's current WebServerNetworkAccessControl. - config.databaseConfig - Replace the environment's current DatabaseConfig. - config.webServerConfig - Replace the environment's current WebServerConfig. - config.softwareConfig.airflowConfigOverrides - Replace all Apache Airflow config overrides. If a replacement config overrides map is not included in environment, all config overrides are cleared. It is an error to provide both this mask and a mask specifying one or more individual config overrides. - config.softwareConfig.airflowConfigOverrides.\ section-name - Override the Apache Airflow config property name in the section named section, preserving other properties. To delete the property override, include it in updateMask and omit its mapping in environment.config.softwareConfig.airflowConfigOverrides. It is an error to provide both a mask of this form and the config.softwareConfig.airflowConfigOverrides mask. - config.softwareConfig.envVariables - Replace all environment variables. If a replacement environment variable map is not included in environment, all custom environment variables are cleared. It is an error to provide both this mask and a mask specifying one or more individual environment variables. This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.api_core.operation_async.AsyncOperationAn object representing a long-running operation. The result type for the operation will be Environment An environment for running orchestration tasks.