flowcraft/generator/process_details.py
def proc_collector(process_map, args, pipeline_string):
    """
    Function that collects all processes available and stores a dictionary of
    the required arguments of each process class to be passed to
    procs_dict_parser

    Parameters
    ----------
    process_map: dict
        The dictionary with the Processes currently available in flowcraft
        and their corresponding classes as values
    args: argparse.Namespace
        The arguments passed through argparser that will be access to check the
        type of list to be printed
    pipeline_string: str
        the pipeline string

    """

    arguments_list = []

    # prints a detailed list of the process class arguments
    if args.detailed_list:
        # list of attributes to be passed to proc_collector
        arguments_list += [
            "input_type",
            "output_type",
            "description",
            "dependencies",
            "conflicts",
            "directives"
        ]

    # prints a short list with each process and the corresponding description
    if args.short_list:
        arguments_list += [
            "description"
        ]

    if arguments_list:
        # dict to store only the required entries
        procs_dict = {}
        # loops between all process_map Processes
        for name, cls in process_map.items():

            # instantiates each Process class
            cls_inst = cls(template=name)

            # checks if recipe is provided
            if pipeline_string:
                if name not in pipeline_string:
                    continue

            d = {arg_key: vars(cls_inst)[arg_key] for arg_key in
                 vars(cls_inst) if arg_key in arguments_list}
            procs_dict[name] = d

        procs_dict_parser(procs_dict)

        sys.exit(0)
def proc_collector(process_map, args, pipeline_string):
    """
    Function that collects all processes available and stores a dictionary of
    the required arguments of each process class to be passed to
    procs_dict_parser

    Parameters
    ----------
    process_map: dict
        The dictionary with the Processes currently available in flowcraft
        and their corresponding classes as values
    args: argparse.Namespace
        The arguments passed through argparser that will be access to check the
        type of list to be printed
    pipeline_string: str
        the pipeline string

    """

    arguments_list = []

    # prints a detailed list of the process class arguments
    if args.detailed_list:
        # list of attributes to be passed to proc_collector
        arguments_list += [
            "input_type",
            "output_type",
            "description",
            "dependencies",
            "conflicts",
            "directives"
        ]

    # prints a short list with each process and the corresponding description
    if args.short_list:
        arguments_list += [
            "description"
        ]

    if arguments_list:
        # dict to store only the required entries
        procs_dict = {}
        # loops between all process_map Processes
        for name, cls in process_map.items():

            # instantiates each Process class
            cls_inst = cls(template=name)

            # checks if recipe is provided
            if pipeline_string:
                if name not in pipeline_string:
                    continue

            d = {arg_key: vars(cls_inst)[arg_key] for arg_key in
                 vars(cls_inst) if arg_key in arguments_list}
            procs_dict[name] = d

        procs_dict_parser(procs_dict)

        sys.exit(0)
Function that collects all processes available and stores a dictionary of
    the required arguments of each process class to be passed to
    procs_dict_parser

    Parameters
    ----------
    process_map: dict
        The dictionary with the Processes currently available in flowcraft
        and their corresponding classes as values
    args: argparse.Namespace
        The arguments passed through argparser that will be access to check the
        type of list to be printed
    pipeline_string: str
        the pipeline string