import csv

def parse_csv_to_dict(csv_file_path):
    """
    Parses a CSV file into a dictionary.

    Parameters:
    - csv_file_path (str): The path to the CSV file.

    Returns:
    - dict: A dictionary representation of the CSV file.
    """
    parsed_dict = {}

    with open(csv_file_path, mode='r', newline='', encoding='utf-8') as csvfile:
        reader = csv.reader(csvfile)
        for row in reader:
            if len(row) < 2:
                continue  # Skip rows that do not have at least two columns
            name = row[0].strip()
            if name not in parsed_dict:
                parsed_dict[name] = {}

            index = 1
            while index < len(row):
                field_type = row[index].strip() if len(row) > index else None
                #print(field_type, end=" ")
                if not field_type:
                    break  # End of relevant columns for this row

                if field_type in ('KEY:', 'PARAM:') and len(row) > index + 2:
                    key_or_param_name = row[index + 1].strip()
                    key_or_param_value = row[index + 2].strip()

                    if field_type == 'KEY:':
                        if 'KEY' not in parsed_dict[name]:
                            parsed_dict[name]['KEY'] = {}
                        parsed_dict[name]['KEY'][key_or_param_name] = key_or_param_value
                    elif field_type == 'PARAM:':
                        if 'PARAM' not in parsed_dict[name]:
                            parsed_dict[name]['PARAM'] = {}
                        parsed_dict[name]['PARAM'][key_or_param_name] = key_or_param_value

                index += 3
            #print("")
            # If no valid field_type was found, set the entry to None
            if name not in parsed_dict:
                parsed_dict[name] = None

    return parsed_dict

if __name__ == "__main__":
    csv_file_path = 'apidetails.csv'
    result = parse_csv_to_dict(csv_file_path)
    print(result)