src/preprocess/MTOP.py

import os
import re
import sys
from utils import read_txt_file, write_jsonl_file, parse


def readfile(path):
    data = read_txt_file(path)
    return data


def get_slot_value_table(decouple):
    svt = []
    pattern = re.compile(r'[[](.*?)[]]', re.S)
    slot_list = re.findall(pattern, decouple)
    dic = {}
    for item in slot_list:
        slot_value = item.split(":")[-1]
        pair = slot_value.strip().split(' ', 1)
        dic["slot"] = pair[0]
        dic["value"] = pair[-1]
        svt.append(dic)
        dic = {}
    return svt


def preprocess(args):
    filenames = os.listdir(args.input_dir)
    for filename in filenames:
        if len(filename) > 2:
            continue

        # Aiming at different path
        # path = os.path.join(args.input_dir, filename)
        # if not os.path.isdir(path):
        #     continue
        # path = os.path.join(path, args.dataset + ".txt")

        path = os.path.join(args.input_dir, filename, args.dataset + ".txt")
        data = readfile(path)
        turns = []


        for line in data:
            t = {}
            t["turn"] = "single"
            t["dialog"] = []

            d = {}
            elem = line.split("\t")
            d["role"] = "ROLE"
            d["utterance"] = elem[3]
            d["slot_value_table"] = get_slot_value_table(elem[6])
            d["summary"] = None
            d["locale"] = elem[5][:2]
            d["scenario"] = elem[4]
            d["intent"] = elem[1].split(":")[1]
            d["answer"] = None
            t["dialog"].append(d)
            
            t["knowledge"] = None
            t["goal"] = None
            turns.append(t)
        write_jsonl_file(turns, os.path.join(args.output_dir, filename + '_' + args.dataset + ".jsonl"))


if __name__ == "__main__":
    args = parse()
    if args.dataset not in ["train", "test", "eval"]:
        print("Wrong dataset type")
        sys.exit(1)
    preprocess(args)