describe_image_usage_report_entries ¶

def describe_image_usage_report_entries(
    self,
    *,
    config_overrides: Optional[EC2ClientConfig] = None,
    image_ids: Optional[
        "capo_ec2.types.describe_image_usage_reports_image_id_string_list.DescribeImageUsageReportsImageIdStringList"
    ] = None,
    report_ids: Optional[
        "capo_ec2.types.image_usage_report_id_string_list.ImageUsageReportIdStringList"
    ] = None,
    next_token: Optional["capo_ec2.types.string.String"] = None,
    filters: Optional["capo_ec2.types.filter_list.FilterList"] = None,
    dry_run: Optional["capo_ec2.types.boolean.Boolean"] = None,
    max_results: Optional[
        "capo_ec2.types.describe_image_usage_report_entries_max_results.DescribeImageUsageReportEntriesMaxResults"
    ] = None,
) -> "capo_ec2.types.describe_image_usage_report_entries_result.DescribeImageUsageReportEntriesResult":
    """<p>Describes the entries in image usage reports, showing how your images are used across other Amazon Web Services accounts.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/your-ec2-ami-usage.html">View your AMI usage</a> in the <i>Amazon EC2 User Guide</i>.</p>

    Args:
        image_ids: <p>The IDs of the images for filtering the report entries. If specified, only report entries containing these images are returned.</p>
        report_ids: <p>The IDs of the usage reports.</p>
        next_token: <p>The token returned from a previous paginated request. Pagination continues from the end of the items returned by the previous request.</p>
        filters: <p>The filters.</p> <ul> <li> <p> <code>account-id</code> - A 12-digit Amazon Web Services account ID.</p> </li> <li> <p> <code>creation-time</code> - The time when the report was created, in the ISO 8601 format in the UTC time zone (YYYY-MM-DDThh:mm:ss.sssZ), for example, <code>2025-11-29T11:04:43.305Z</code>. You can use a wildcard (<code>*</code>), for example, <code>2025-11-29T*</code>, which matches an entire day.</p> </li> <li> <p> <code>resource-type</code> - The resource type (<code>ec2:Instance</code> | <code>ec2:LaunchTemplate</code>).</p> </li> </ul>
        dry_run: <p>Checks whether you have the required permissions for the action, without actually making the request, and provides an error response. If you have the required permissions, the error response is <code>DryRunOperation</code>. Otherwise, it is <code>UnauthorizedOperation</code>.</p>
        max_results: <p>The maximum number of items to return for this request. To get the next page of items, make another request with the token returned in the output. For more information, see <a href="https://docs.aws.amazon.com/AWSEC2/latest/APIReference/Query-Requests.html#api-pagination">Pagination</a>.</p>

    Raises:
        capo_ec2.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_ec2.types.describe_image_usage_report_entries_request.DescribeImageUsageReportEntriesRequest]",
    ) -> OperationResponse[
        "capo_ec2.types.describe_image_usage_report_entries_result.DescribeImageUsageReportEntriesResult"
    ]:
        import capo_ec2._operations.amazon_ec2.describe_image_usage_report_entries

        output, http_response = (
            capo_ec2._operations.amazon_ec2.describe_image_usage_report_entries.describe_image_usage_report_entries(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeImageUsageReportEntries")
    )
    input_: capo_ec2.types.describe_image_usage_report_entries_request.DescribeImageUsageReportEntriesRequest = {}
    if image_ids is not None:
        input_["image_ids"] = image_ids
    if report_ids is not None:
        input_["report_ids"] = report_ids
    if next_token is not None:
        input_["next_token"] = next_token
    if filters is not None:
        input_["filters"] = filters
    if dry_run is not None:
        input_["dry_run"] = dry_run
    if max_results is not None:
        input_["max_results"] = max_results

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output