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):
    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 ) : 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
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