コード例 #1
0
    def run(self, output: AbstractOutputWriter):
        region = self._config['instance']['region']
        cf = boto3.client('cloudformation', region_name=region)
        ec2 = boto3.client('ec2', region_name=region)

        # get image info
        ami_name = self._config['instance']['amiName']
        ami_info = get_ami(ec2, ami_name)

        # check that the image exists
        if not ami_info:
            raise ValueError('AMI with name "%s" not found.' % ami_name)

        # get stack ID for the image
        tag_values = [
            tag['Value'] for tag in ami_info['Tags']
            if tag['Key'] == 'spotty:stack-id'
        ]
        if not len(tag_values):
            raise ValueError('AMI wasn\'t created by Spotty')

        # ask user to confirm the deletion
        ami_id = ami_info['ImageId']
        confirm = input('AMI "%s" (ID=%s) will be deleted.\n'
                        'Type "y" to confirm: ' % (ami_name, ami_id))
        if confirm != 'y':
            output.write('You didn\'t confirm the operation.')
            return

        # delete the image
        stack_id = tag_values[0]
        cf.delete_stack(StackName=stack_id)

        output.write('Waiting for the AMI to be deleted...')

        # wait for the deletion to be completed
        status, stack = wait_stack_status_changed(
            cf,
            stack_id=stack_id,
            waiting_status='DELETE_IN_PROGRESS',
            resource_messages=[],
            resource_success_status='DELETE_COMPLETE',
            output=output)

        if status == 'DELETE_COMPLETE':
            output.write('\n'
                         '--------------------\n'
                         'AMI was successfully deleted.\n'
                         '--------------------')
        else:
            raise ValueError(
                'Stack "%s" not deleted.\n'
                'See CloudFormation and CloudWatch logs for details.' %
                stack_id)
コード例 #2
0
ファイル: stack.py プロジェクト: hundred06/spotty
    def create_stack(self, ec2, template: str, instance_profile_arn: str,
                     instance_type: str, ami_name: str, root_volume_size: int,
                     mount_dirs: list, bucket_name: str,
                     remote_project_dir: str, project_name: str,
                     project_dir: str, docker_config: dict):
        """Runs CloudFormation template."""

        # get default VPC ID
        res = ec2.describe_vpcs(Filters=[{
            'Name': 'isDefault',
            'Values': ['true']
        }])
        if not len(res['Vpcs']):
            raise ValueError('Default VPC not found')

        vpc_id = res['Vpcs'][0]['VpcId']

        # get image info
        ami_info = get_ami(ec2, ami_name)
        if not ami_info:
            raise ValueError(
                'AMI with name "%s" not found.\n'
                'Use "spotty create-ami" command to create an AMI with NVIDIA Docker.'
                % ami_name)

        ami_id = ami_info['ImageId']

        # check root volume size
        image_volume_size = ami_info['BlockDeviceMappings'][0]['Ebs'][
            'VolumeSize']
        if root_volume_size and root_volume_size < image_volume_size:
            raise ValueError(
                'Root volume size cannot be less than the size of AMI (%dGB).'
                % image_volume_size)
        elif not root_volume_size:
            root_volume_size = image_volume_size + 5

        # create key pair
        project_key = KeyPairResource(ec2, self._project_name, self._region)
        key_name = project_key.create_key()

        # working directory for the Docker container
        working_dir = docker_config['workingDir']
        if not working_dir:
            working_dir = remote_project_dir

        # get the Dockerfile path and the build's context path
        dockerfile_path = docker_config.get('file', '')
        docker_context_path = ''
        if dockerfile_path:
            if not os.path.isfile(os.path.join(project_dir, dockerfile_path)):
                raise ValueError('File "%s" doesn\'t exist.' % dockerfile_path)

            dockerfile_path = remote_project_dir + '/' + dockerfile_path
            docker_context_path = os.path.dirname(dockerfile_path)

        # create stack
        params = {
            'VpcId':
            vpc_id,
            'InstanceProfileArn':
            instance_profile_arn,
            'InstanceType':
            instance_type,
            'KeyName':
            key_name,
            'ImageId':
            ami_id,
            'RootVolumeSize':
            str(root_volume_size),
            'VolumeMountDirectories':
            ('"%s"' % '" "'.join(mount_dirs)) if mount_dirs else '',
            'DockerDataRootDirectory':
            docker_config['dataRoot'],
            'DockerImage':
            docker_config.get('image', ''),
            'DockerfilePath':
            dockerfile_path,
            'DockerBuildContextPath':
            docker_context_path,
            'DockerNvidiaRuntime':
            'true' if is_gpu_instance(instance_type) else 'false',
            'DockerWorkingDirectory':
            working_dir,
            'InstanceNameTag':
            project_name,
            'ProjectS3Bucket':
            bucket_name,
            'ProjectDirectory':
            remote_project_dir,
        }

        res = self._cf.create_stack(
            StackName=self._stack_name,
            TemplateBody=template,
            Parameters=[{
                'ParameterKey': key,
                'ParameterValue': value
            } for key, value in params.items()],
            Capabilities=['CAPABILITY_IAM'],
            OnFailure='DO_NOTHING',
        )

        return res
コード例 #3
0
ファイル: create_ami.py プロジェクト: hundred06/spotty
    def run(self, output: AbstractOutputWriter):
        instance_config = self._config['instance']

        # check that it's a GPU instance type
        instance_type = instance_config['instanceType']
        if not is_gpu_instance(instance_type):
            raise ValueError('"%s" is not a GPU instance' % instance_type)

        region = instance_config['region']
        availability_zone = instance_config['availabilityZone']
        subnet_id = instance_config['subnetId']

        cf = boto3.client('cloudformation', region_name=region)
        ec2 = boto3.client('ec2', region_name=region)

        # check that an image with this name doesn't exist yet
        ami_name = self._config['instance']['amiName']
        ami_info = get_ami(ec2, ami_name)
        if ami_info:
            raise ValueError('AMI with name "%s" already exists.' % ami_name)

        # check availability zone and subnet
        check_az_and_subnet(ec2, availability_zone, subnet_id, region)

        ami_stack = AmiStackResource(cf)

        # prepare CF template
        key_name = instance_config.get('keyName', '')
        template = ami_stack.prepare_template(availability_zone, subnet_id,
                                              key_name)

        # create stack
        res, stack_name = ami_stack.create_stack(template, instance_type,
                                                 ami_name, key_name)

        output.write('Waiting for the AMI to be created...')

        resource_messages = [
            ('InstanceProfile', 'creating IAM role for the instance'),
            ('SpotInstance', 'launching the instance'),
            ('InstanceReadyWaitCondition', 'installing NVIDIA Docker'),
            ('AMICreatedWaitCondition',
             'creating AMI and terminating the instance'),
        ]

        # wait for the stack to be created
        status, stack = wait_stack_status_changed(
            cf,
            stack_id=res['StackId'],
            waiting_status='CREATE_IN_PROGRESS',
            resource_messages=resource_messages,
            resource_success_status='CREATE_COMPLETE',
            output=output)

        if status == 'CREATE_COMPLETE':
            ami_id = [
                row['OutputValue'] for row in stack['Outputs']
                if row['OutputKey'] == 'NewAMI'
            ][0]

            output.write('\n'
                         '--------------------\n'
                         'AMI "%s" (ID=%s) was successfully created.\n'
                         'Use "spotty start" command to run a Spot Instance.\n'
                         '--------------------' % (ami_name, ami_id))
        else:
            raise ValueError(
                'Stack "%s" was not created.\n'
                'See CloudFormation and CloudWatch logs for details.' %
                stack_name)