コード例 #1
0
ファイル: report.py プロジェクト: vladn90/tern
def setup(dockerfile=None):
    '''Any initial setup'''
    # load the cache
    cache.load()
    # load dockerfile if present
    if dockerfile:
        docker.load_docker_commands(dockerfile)
コード例 #2
0
ファイル: report.py プロジェクト: xtreme-vikram-yadav/tern
def setup(dockerfile=None, image_tag_string=None):
    '''Any initial setup'''
    # generate random names for image, container, and tag
    general.initialize_names()
    # load the cache
    cache.load()
    # load dockerfile if present
    if dockerfile:
        docker.load_docker_commands(dockerfile)
    # check if the docker image is present
    if image_tag_string:
        if not container.check_image(image_tag_string):
            logger.fatal(errors.cannot_find_image.format(
                imagetag=image_tag_string))
            sys.exit()
    # create temporary working directory
    if not os.path.exists(constants.temp_folder):
        os.mkdir(constants.temp_folder)
    # set up folders for rootfs operations
    rootfs.set_up()
コード例 #3
0
ファイル: common.py プロジェクト: rajdhandus/tern
def get_base_obj(base_image_tag):
    '''Get a list of layers with their associated packages:
        1. Check if the base image exists on the host machine
        2. Get the layers
        3. For each layer check if there is a list of packages associated
        with it in the cache
        4. If there are no packages return a list of empty layer objects'''
    obj_list = []
    if not check_base_image(base_image_tag):
        # the base image cannot be found locally nor remotely
        # at this point there is no context for Tern to use so raise an
        # exception to exit gracefully
        logger.error(base_image_not_found)
        sys.exit(1)
    else:
        cache.load()
        # get the history with diff ids
        # tuples look like this: (history command, diff_id)
        layer_history = get_layer_history(get_image_tag_string(base_image_tag))
        for layer_tuple in layer_history:
            layer_obj = get_layer_obj(layer_tuple[1])
        obj_list.append(layer_obj)
    return obj_list