import yaml


class Args:

    def get_args_string(self) -> str:
        string = ''
        for key, value in self.__dict__.items():
            if not isinstance(value, Configuration.Train.OtherHyps) and value is not None:
                if key == 'img-size':
                    string += f' --{key} {value.split(" ")[0]} {value.split(" ")[1]}'
                elif type(value) == bool:
                    if value:
                        string += f" --{key}"
                    else:
                        continue
                elif type(value) in [int, str] and value != '':
                    string += f' --{key} {value}'
                else:
                    raise Exception(f"Cannot parse argument {key} {value}")

        return string


class Configuration:
    class Train(Args):

        class OtherHyps:
            def __init__(self, config_file) -> None:
                for key, value in config_file['train']['other-hyps'].items():
                    self.__dict__[key] = value

        def __init__(self, config_file) -> None:
            self.other_hyps = Configuration.Train.OtherHyps(config_file)
            for key, value in config_file['train'].items():
                if key != 'other-hyps':
                    self.__dict__[key] = value

    class Experiments(Args):
        def __init__(self, config_file) -> None:
            for key, value in config_file['experiments'].items():
                self.__dict__[key] = value

    class Detect(Args):
        def __init__(self, config_file) -> None:
            for key, value in config_file['detect'].items():
                self.__dict__[key] = value

    class ConfussionMatrix(Args):
        def __init__(self, config_file) -> None:
            for key, value in config_file['confussion-matrix'].items():
                self.__dict__[key] = value

    class Bayes(Args):
        def __init__(self, config_file) -> None:
            for key, value in config_file['bayes'].items():
                self.__dict__[key] = value

    def __init__(self, config_path='/home/tomekb/yolov3/our_scripts/config.yml') -> None:
        self.config_path = config_path
        file = yaml.load(open(config_path, 'r'), Loader=yaml.Loader)
        self.train = self.Train(file)
        self.experiments = self.Experiments(file)
        self.detect = self.Detect(file)
        self.confussion_matrix = self.ConfussionMatrix(file)
        self.bayes = self.Bayes(file)