Export-Bucket für Compute Engine-Nutzungsdaten festlegen und abrufen

In diesem Beispiel wird gezeigt, wie Sie den Export-Bucket für die Compute Engine-Nutzungsdaten für ein Projekt festlegen und abrufen. Der Export-Bucket für die Nutzungsdaten ist ein Google Cloud Storage-Bucket, in dem Berichte zur Nutzung der Compute Engine gespeichert werden. Diese Berichte können für die Abrechnung und Kostenverwaltung verwendet werden.

Codebeispiel

Python

Bevor Sie dieses Beispiel verwenden, folgen Sie der Einrichtungsanleitung für Python in der Compute Engine-Kurzanleitung zur Verwendung von Clientbibliotheken. Weitere Informationen finden Sie in der Referenzdokumentation zur Compute Engine Python API.

Richten Sie die Standardanmeldedaten für Anwendungen ein, um sich bei der Compute Engine zu authentifizieren. Weitere Informationen finden Sie unter ADC für eine lokale Entwicklungsumgebung einrichten.

from __future__ import annotations

import sys
from typing import Any

from google.api_core.extended_operation import ExtendedOperation
from google.cloud import compute_v1






def wait_for_extended_operation(
    operation: ExtendedOperation, verbose_name: str = "operation", timeout: int = 300
) -> Any:
    """
    Waits for the extended (long-running) operation to complete.

    If the operation is successful, it will return its result.
    If the operation ends with an error, an exception will be raised.
    If there were any warnings during the execution of the operation
    they will be printed to sys.stderr.

    Args:
        operation: a long-running operation you want to wait on.
        verbose_name: (optional) a more verbose name of the operation,
            used only during error and warning reporting.
        timeout: how long (in seconds) to wait for operation to finish.
            If None, wait indefinitely.

    Returns:
        Whatever the operation.result() returns.

    Raises:
        This method will raise the exception received from `operation.exception()`
        or RuntimeError if there is no exception set, but there is an `error_code`
        set for the `operation`.

        In case of an operation taking longer than `timeout` seconds to complete,
        a `concurrent.futures.TimeoutError` will be raised.
    """
    result = operation.result(timeout=timeout)

    if operation.error_code:
        print(
            f"Error during {verbose_name}: [Code: {operation.error_code}]: {operation.error_message}",
            file=sys.stderr,
            flush=True,
        )
        print(f"Operation ID: {operation.name}", file=sys.stderr, flush=True)
        raise operation.exception() or RuntimeError(operation.error_message)

    if operation.warnings:
        print(f"Warnings during {verbose_name}:\n", file=sys.stderr, flush=True)
        for warning in operation.warnings:
            print(f" - {warning.code}: {warning.message}", file=sys.stderr, flush=True)

    return result


def set_usage_export_bucket(
    project_id: str, bucket_name: str, report_name_prefix: str = ""
) -> None:
    """
    Set Compute Engine usage export bucket for the Cloud project.
    This sample presents how to interpret the default value for the
    report name prefix parameter.

    Args:
        project_id: project ID or project number of the project to update.
        bucket_name: Google Cloud Storage bucket used to store Compute Engine
            usage reports. An existing Google Cloud Storage bucket is required.
        report_name_prefix: Prefix of the usage report name which defaults to an empty string
            to showcase default values behaviour.
    """
    usage_export_location = compute_v1.UsageExportLocation()
    usage_export_location.bucket_name = bucket_name
    usage_export_location.report_name_prefix = report_name_prefix

    if not report_name_prefix:
        # Sending an empty value for report_name_prefix results in the
        # next usage report being generated with the default prefix value
        # "usage_gce". (ref: https://cloud.google.com/compute/docs/reference/rest/v1/projects/setUsageExportBucket)
        print(
            "Setting report_name_prefix to empty value causes the report "
            "to have the default prefix of `usage_gce`."
        )

    projects_client = compute_v1.ProjectsClient()
    operation = projects_client.set_usage_export_bucket(
        project=project_id, usage_export_location_resource=usage_export_location
    )

    wait_for_extended_operation(operation, "setting GCE usage bucket")




def get_usage_export_bucket(project_id: str) -> compute_v1.UsageExportLocation:
    """
    Retrieve Compute Engine usage export bucket for the Cloud project.
    Replaces the empty value returned by the API with the default value used
    to generate report file names.

    Args:
        project_id: project ID or project number of the project to update.
    Returns:
        UsageExportLocation object describing the current usage export settings
        for project project_id.
    """
    projects_client = compute_v1.ProjectsClient()
    project_data = projects_client.get(project=project_id)

    uel = project_data.usage_export_location

    if not uel.bucket_name:
        # The usage reports are disabled.
        return uel

    if not uel.report_name_prefix:
        # Although the server sent the empty string value, the next usage report
        # generated with these settings still has the default prefix value
        # "usage_gce". (see https://cloud.google.com/compute/docs/reference/rest/v1/projects/get)
        print(
            "Report name prefix not set, replacing with default value of "
            "`usage_gce`."
        )
        uel.report_name_prefix = "usage_gce"
    return uel

Nächste Schritte

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