update_fleet ¶

def update_fleet(
    self,
    arn: "capo_codebuild.types.non_empty_string.NonEmptyString",
    *,
    config_overrides: Optional[CodeBuildClientConfig] = None,
    base_capacity: Optional[
        "capo_codebuild.types.fleet_capacity.FleetCapacity"
    ] = None,
    environment_type: Optional[
        "capo_codebuild.types.environment_type.EnvironmentType"
    ] = None,
    compute_type: Optional["capo_codebuild.types.compute_type.ComputeType"] = None,
    compute_configuration: Optional[
        "capo_codebuild.types.compute_configuration.ComputeConfiguration"
    ] = None,
    scaling_configuration: Optional[
        "capo_codebuild.types.scaling_configuration_input.ScalingConfigurationInput"
    ] = None,
    overflow_behavior: Optional[
        "capo_codebuild.types.fleet_overflow_behavior.FleetOverflowBehavior"
    ] = None,
    vpc_config: Optional["capo_codebuild.types.vpc_config.VpcConfig"] = None,
    proxy_configuration: Optional[
        "capo_codebuild.types.proxy_configuration.ProxyConfiguration"
    ] = None,
    image_id: Optional[
        "capo_codebuild.types.non_empty_string.NonEmptyString"
    ] = None,
    fleet_service_role: Optional[
        "capo_codebuild.types.non_empty_string.NonEmptyString"
    ] = None,
    tags: Optional["capo_codebuild.types.tag_list.TagList"] = None,
) -> "capo_codebuild.types.update_fleet_output.UpdateFleetOutput":
    """<p>Updates a compute fleet.</p>

    Args:
        arn: <p>The ARN of the compute fleet.</p>
        base_capacity: <p>The initial number of machines allocated to the compute fleet, which defines the number of builds that can run in parallel.</p>
        environment_type: <p>The environment type of the compute fleet.</p> <ul> <li> <p>The environment type <code>ARM_CONTAINER</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), Asia Pacific (Mumbai), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), EU (Frankfurt), and South America (São Paulo).</p> </li> <li> <p>The environment type <code>ARM_EC2</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), South America (São Paulo), and Asia Pacific (Mumbai).</p> </li> <li> <p>The environment type <code>LINUX_CONTAINER</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), South America (São Paulo), and Asia Pacific (Mumbai).</p> </li> <li> <p>The environment type <code>LINUX_EC2</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), South America (São Paulo), and Asia Pacific (Mumbai).</p> </li> <li> <p>The environment type <code>LINUX_GPU_CONTAINER</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), and Asia Pacific (Sydney).</p> </li> <li> <p>The environment type <code>MAC_ARM</code> is available for Medium fleets only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Sydney), and EU (Frankfurt)</p> </li> <li> <p>The environment type <code>MAC_ARM</code> is available for Large fleets only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), and Asia Pacific (Sydney).</p> </li> <li> <p>The environment type <code>WINDOWS_EC2</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), South America (São Paulo), and Asia Pacific (Mumbai).</p> </li> <li> <p>The environment type <code>WINDOWS_SERVER_2019_CONTAINER</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Mumbai) and EU (Ireland).</p> </li> <li> <p>The environment type <code>WINDOWS_SERVER_2022_CONTAINER</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Sydney), Asia Pacific (Singapore), Asia Pacific (Tokyo), South America (São Paulo) and Asia Pacific (Mumbai).</p> </li> </ul> <p>For more information, see <a href="https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-compute-types.html">Build environment compute types</a> in the <i>CodeBuild user guide</i>.</p>
        compute_type: <p>Information about the compute resources the compute fleet uses. Available values include:</p> <ul> <li> <p> <code>ATTRIBUTE_BASED_COMPUTE</code>: Specify the amount of vCPUs, memory, disk space, and the type of machine.</p> <note> <p> If you use <code>ATTRIBUTE_BASED_COMPUTE</code>, you must define your attributes by using <code>computeConfiguration</code>. CodeBuild will select the cheapest instance that satisfies your specified attributes. For more information, see <a href="https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-compute-types.html#environment-reserved-capacity.types">Reserved capacity environment types</a> in the <i>CodeBuild User Guide</i>.</p> </note> </li> <li> <p> <code>CUSTOM_INSTANCE_TYPE</code>: Specify the instance type for your compute fleet. For a list of supported instance types, see <a href="https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-compute-types.html#environment-reserved-capacity.instance-types">Supported instance families </a> in the <i>CodeBuild User Guide</i>.</p> </li> <li> <p> <code>BUILD_GENERAL1_SMALL</code>: Use up to 4 GiB memory and 2 vCPUs for builds.</p> </li> <li> <p> <code>BUILD_GENERAL1_MEDIUM</code>: Use up to 8 GiB memory and 4 vCPUs for builds.</p> </li> <li> <p> <code>BUILD_GENERAL1_LARGE</code>: Use up to 16 GiB memory and 8 vCPUs for builds, depending on your environment type.</p> </li> <li> <p> <code>BUILD_GENERAL1_XLARGE</code>: Use up to 72 GiB memory and 36 vCPUs for builds, depending on your environment type.</p> </li> <li> <p> <code>BUILD_GENERAL1_2XLARGE</code>: Use up to 144 GiB memory, 72 vCPUs, and 824 GB of SSD storage for builds. This compute type supports Docker images up to 100 GB uncompressed.</p> </li> <li> <p> <code>BUILD_LAMBDA_1GB</code>: Use up to 1 GiB memory for builds. Only available for environment type <code>LINUX_LAMBDA_CONTAINER</code> and <code>ARM_LAMBDA_CONTAINER</code>.</p> </li> <li> <p> <code>BUILD_LAMBDA_2GB</code>: Use up to 2 GiB memory for builds. Only available for environment type <code>LINUX_LAMBDA_CONTAINER</code> and <code>ARM_LAMBDA_CONTAINER</code>.</p> </li> <li> <p> <code>BUILD_LAMBDA_4GB</code>: Use up to 4 GiB memory for builds. Only available for environment type <code>LINUX_LAMBDA_CONTAINER</code> and <code>ARM_LAMBDA_CONTAINER</code>.</p> </li> <li> <p> <code>BUILD_LAMBDA_8GB</code>: Use up to 8 GiB memory for builds. Only available for environment type <code>LINUX_LAMBDA_CONTAINER</code> and <code>ARM_LAMBDA_CONTAINER</code>.</p> </li> <li> <p> <code>BUILD_LAMBDA_10GB</code>: Use up to 10 GiB memory for builds. Only available for environment type <code>LINUX_LAMBDA_CONTAINER</code> and <code>ARM_LAMBDA_CONTAINER</code>.</p> </li> </ul> <p> If you use <code>BUILD_GENERAL1_SMALL</code>: </p> <ul> <li> <p> For environment type <code>LINUX_CONTAINER</code>, you can use up to 4 GiB memory and 2 vCPUs for builds. </p> </li> <li> <p> For environment type <code>LINUX_GPU_CONTAINER</code>, you can use up to 16 GiB memory, 4 vCPUs, and 1 NVIDIA A10G Tensor Core GPU for builds.</p> </li> <li> <p> For environment type <code>ARM_CONTAINER</code>, you can use up to 4 GiB memory and 2 vCPUs on ARM-based processors for builds.</p> </li> </ul> <p> If you use <code>BUILD_GENERAL1_LARGE</code>: </p> <ul> <li> <p> For environment type <code>LINUX_CONTAINER</code>, you can use up to 16 GiB memory and 8 vCPUs for builds. </p> </li> <li> <p> For environment type <code>LINUX_GPU_CONTAINER</code>, you can use up to 255 GiB memory, 32 vCPUs, and 4 NVIDIA Tesla V100 GPUs for builds.</p> </li> <li> <p> For environment type <code>ARM_CONTAINER</code>, you can use up to 16 GiB memory and 8 vCPUs on ARM-based processors for builds.</p> </li> </ul> <p>For more information, see <a href="https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-compute-types.html#environment.types">On-demand environment types</a> in the <i>CodeBuild User Guide.</i> </p>
        compute_configuration: <p>The compute configuration of the compute fleet. This is only required if <code>computeType</code> is set to <code>ATTRIBUTE_BASED_COMPUTE</code> or <code>CUSTOM_INSTANCE_TYPE</code>.</p>
        scaling_configuration: <p>The scaling configuration of the compute fleet.</p>
        overflow_behavior: <p>The compute fleet overflow behavior.</p> <ul> <li> <p>For overflow behavior <code>QUEUE</code>, your overflow builds need to wait on the existing fleet instance to become available.</p> </li> <li> <p>For overflow behavior <code>ON_DEMAND</code>, your overflow builds run on CodeBuild on-demand.</p> <note> <p>If you choose to set your overflow behavior to on-demand while creating a VPC-connected fleet, make sure that you add the required VPC permissions to your project service role. For more information, see <a href="https://docs.aws.amazon.com/codebuild/latest/userguide/auth-and-access-control-iam-identity-based-access-control.html#customer-managed-policies-example-create-vpc-network-interface">Example policy statement to allow CodeBuild access to Amazon Web Services services required to create a VPC network interface</a>.</p> </note> </li> </ul>
        proxy_configuration: <p>The proxy configuration of the compute fleet.</p>
        image_id: <p>The Amazon Machine Image (AMI) of the compute fleet.</p>
        fleet_service_role: <p>The service role associated with the compute fleet. For more information, see <a href="https://docs.aws.amazon.com/codebuild/latest/userguide/auth-and-access-control-iam-identity-based-access-control.html#customer-managed-policies-example-permission-policy-fleet-service-role.html"> Allow a user to add a permission policy for a fleet service role</a> in the <i>CodeBuild User Guide</i>.</p>
        tags: <p>A list of tag key and value pairs associated with this compute fleet.</p> <p>These tags are available for use by Amazon Web Services services that support CodeBuild build project tags.</p>

    Raises:
        capo_codebuild.errors.account_limit_exceeded_exception.AccountLimitExceededException: <p>An Amazon Web Services service limit was exceeded for the calling Amazon Web Services account.</p>
        capo_codebuild.errors.invalid_input_exception.InvalidInputException: <p>The input value that was provided is not valid.</p>
        capo_codebuild.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified Amazon Web Services resource cannot be found.</p>
        capo_codebuild.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_codebuild.types.update_fleet_input.UpdateFleetInput]",
    ) -> OperationResponse[
        "capo_codebuild.types.update_fleet_output.UpdateFleetOutput"
    ]:
        import capo_codebuild._operations.code_build_20161006.update_fleet

        output, http_response = (
            capo_codebuild._operations.code_build_20161006.update_fleet.update_fleet(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateFleet")
    )
    input_: capo_codebuild.types.update_fleet_input.UpdateFleetInput = {"arn": arn}
    if base_capacity is not None:
        input_["base_capacity"] = base_capacity
    if environment_type is not None:
        input_["environment_type"] = environment_type
    if compute_type is not None:
        input_["compute_type"] = compute_type
    if compute_configuration is not None:
        input_["compute_configuration"] = compute_configuration
    if scaling_configuration is not None:
        input_["scaling_configuration"] = scaling_configuration
    if overflow_behavior is not None:
        input_["overflow_behavior"] = overflow_behavior
    if vpc_config is not None:
        input_["vpc_config"] = vpc_config
    if proxy_configuration is not None:
        input_["proxy_configuration"] = proxy_configuration
    if image_id is not None:
        input_["image_id"] = image_id
    if fleet_service_role is not None:
        input_["fleet_service_role"] = fleet_service_role
    if tags is not None:
        input_["tags"] = tags

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