src/preprocess/COD.py

import os
from utils import read_json_file, write_jsonl_file, parse


def get_actions_goal(actions):
    goal = []
    for item in actions:
        g = {
            "intent": item["act"],
            "slot_value_table": [
                {
                    "slot": item["slot"],
                    "value": item["values"][0] if len(item["values"]) else None,
                }
            ],
        }
        goal.append(g)
    return goal


def get_state_goal(state):
    goal = [{"intent": state["active_intent"], "slot_value_table": []}]
    for slot, value in state["slot_values"].items():
        svt = {"slot": slot, "value": value[0]}
        goal[0]["slot_value_table"].append(svt)
    return goal


def get_call_goal(call):
    goal = [{"intent": call["method"], "slot_value_table": []}]
    for slot, value in call["parameters"].items():
        svt = {"slot": slot, "value": value}
        goal[0]["slot_value_table"].append(svt)
    return goal


def get_goal(domain_name, content):
    goal_func = {
        "actions": get_actions_goal,
        "state": get_state_goal,
        "service_call": get_call_goal,
    }
    return goal_func[domain_name](content)


def get_belief_state(frame):
    bs = []
    for domain in ["actions", "state", "service_call"]:
        if domain in frame:
            blf_stt = {"domain": domain, "goal": get_goal(domain, frame[domain])}

            bs.append(blf_stt)

    return bs


def get_querying_result(frame):
    if "service_results" not in frame:
        return []
    else:
        return frame["service_results"]


def parse_slots_index(slots):
    slot2index = dict()
    for slot in slots:
        # if slot["slot"] in slot2index and (
        #     slot2index[slot["slot"]]["start"] != slot["start"]
        #     or slot2index[slot["slot"]]["end"] != slot["exclusive_end"]
        # ):
        #     raise ValueError("test")
        slot2index[slot["slot"]] = {
            "start": slot["start"],
            "end": slot["exclusive_end"],
        }
    return slot2index


def parse_belief_state(frames):
    intent_domain_bs = dict()

    for frame in frames:
        slot2index = parse_slots_index(frame["slots"])
        domain = frame["service"]
        state = frame["state"]
        intent = state["active_intent"]

        if intent not in intent_domain_bs:
            intent_domain_bs[intent] = dict()

        if domain not in intent_domain_bs[intent]:
            intent_domain_bs[intent][domain] = {
                "svt": [],
            }

        for slot in state["slot_values"]:
            svp = {
                "slot": slot,
                "value": state["slot_values"][slot],
                "relation": "equal_to",
            }

            if slot in slot2index:
                svp["start"] = slot2index[slot]["start"]
                svp["end"] = slot2index[slot]["end"]

            intent_domain_bs[intent][domain]["svt"].append(svp)
        intent_domain_bs[intent][domain]["requested_slots"] = state["requested_slots"]

    bs = []
    for intent in intent_domain_bs:
        for domain in intent_domain_bs[intent]:
            bs.append(
                {
                    "intent": intent,
                    "domain": domain,
                    "requested_slots": intent_domain_bs[intent][domain][
                        "requested_slots"
                    ],
                    "slot_value_table": intent_domain_bs[intent][domain]["svt"],
                }
            )

    return bs


def parse_dialog_act(frames):
    domain_act_svt = dict()

    for frame in frames:
        slot2index = parse_slots_index(frame["slots"])
        domain = frame["service"]
        actions = frame["actions"]

        if domain not in domain_act_svt:
            domain_act_svt[domain] = dict()

        for action in actions:
            act = action["act"]
            if act not in domain_act_svt[domain]:
                domain_act_svt[domain][act] = []

            svp = {
                "slot": action["slot"],
                "value": action["values"],
                "relation": "equal_to",
            }

            if "canonical_values" in action:
                svp["canonical_values"] = (action["canonical_values"],)

            slot = action["slot"]
            if slot in slot2index:
                svp["start"] = slot2index[slot]["start"]
                svp["end"] = slot2index[slot]["end"]

            domain_act_svt[domain][act].append(svp)

    da = []
    for domain in domain_act_svt:
        for act in domain_act_svt[domain]:
            da.append(
                {
                    "act": act,
                    "domain": domain,
                    "slot_value_table": domain_act_svt[domain][act],
                }
            )

    return da


def preprocess(args):
    filenames = os.listdir(args.input_dir)
    data = {"train": [], "dev": [], "test": []}

    for filename in filenames:
        if not filename.endswith(".json"):
            continue
        path = os.path.join(args.input_dir, filename)
        origin_data = read_json_file(path)

        locale = filename.split("_")[0]
        partition = filename.split("_")[1][:-5]

        for dial in origin_data:
            parsed_dial = {
                "turn": "multi",
                "domain": dial["services"],
                "locale": locale,
                "dialog": [],
            }

            for origin_turn in dial["turns"]:
                frames = origin_turn["frames"]

                # print(frames)

                turn = {
                    "role": origin_turn["speaker"],
                    "utterance": origin_turn["utterance"],
                    "dialog_act": parse_dialog_act(frames),
                }

                if turn["role"] == "USER":
                    turn["belief_state"] = parse_belief_state(frames)

                if "service_call" in origin_turn:
                    turn["query"] = origin_turn["service_call"]
                if "service_results" in origin_turn:
                    turn["querying_result"] = origin_turn["querying_result"]

                parsed_dial["dialog"].append(turn)

            data[partition].append(parsed_dial)

    for partition in data:
        if data[partition]:
            write_jsonl_file(
                data[partition], os.path.join(args.output_dir, f"{partition}.jsonl")
            )


if __name__ == "__main__":
    args = parse()
    preprocess(args)