src/DCRG.py

import sys

sys.path.append("modules/preprocess")

from preprocessor.SerialPreprocessor import SerialConfig, SerialPreprocessor
from const import (
    DIALOGUE_CONTEXT_TO_RESPONSE_GENERATION,
    DOCUMENT_GROUNDED_CONVERSATION,
    MULTI_REF_SEP,
)
from preprocessor.prompt_funcs import const_prompt_func_wrapper
from preprocessor.knowledge_funcs import (
    extract_dialogue_knowledge_wrapper,
    origin_knowledge,
    None_knowledge,
    extract_kg_knowledge_wrapper,
    extract_turn_knowledge_wrapper,
)
from preprocessor.label_funs import (
    extract_turn_utterance,
)
import sys

if __name__ == "__main__":
    input_data_path = sys.argv[1]
    output_data_path = sys.argv[2]
    TASK = DOCUMENT_GROUNDED_CONVERSATION

    if len(sys.argv) <= 3:
        based_on = "dialogue"
    else:
        based_on = sys.argv[3]

    if len(sys.argv) < 5:
        if based_on == "turn-document":
            serial_proc = SerialPreprocessor(
                SerialConfig(
                    input_data_path,
                    output_data_path,
                    TASK,
                    logger_name=TASK,
                    task_bos_token=f"[{TASK}]",
                    prompt_func=const_prompt_func_wrapper(
                        "Response based on the dialogue context and given knowledge"
                    ),
                    # knowledge_func=extract_kg_knowledge_wrapper(": ", " | ", "; ", " "),
                    # knowledge_func=extract_dialogue_knowledge_wrapper(": ", " | ", ", "),
                    # knowledge_func=None_knowledge,
                    knowledge_func=origin_knowledge,
                    turn_knowledge_func=extract_turn_knowledge_wrapper(
                        ": ", " | ", ", "
                    ),
                    label_func=extract_turn_utterance,
                    roles_to_build_example=[["user1"], ["user2"]],
                    # dev_and_test_roles_to_build_example=[["user2"]],
                    roles_in_history=None,
                    multi_ref_sep=None,
                )
            )
        elif based_on == "document":
            serial_proc = SerialPreprocessor(
                SerialConfig(
                    input_data_path,
                    output_data_path,
                    TASK,
                    logger_name=TASK,
                    task_bos_token=f"[{TASK}]",
                    prompt_func=const_prompt_func_wrapper(
                        "Response based on the dialogue context and given knowledge"
                    ),
                    # knowledge_func=extract_kg_knowledge_wrapper(": ", " | ", "; ", " "),
                    knowledge_func=extract_dialogue_knowledge_wrapper(
                        ": ", " | ", ", "
                    ),
                    # knowledge_func=None_knowledge,
                    # knowledge_func=origin_knowledge,
                    label_func=extract_turn_utterance,
                    roles_to_build_example=[
                        ["third-person"],
                        ["Listener"],
                        ["Speaker"],
                    ],
                    dev_and_test_roles_to_build_example=[
                        ["third-person"],
                        ["Listener"],
                    ],
                )
            )
        elif based_on == "None":
            serial_proc = SerialPreprocessor(
                SerialConfig(
                    input_data_path,
                    output_data_path,
                    TASK,
                    logger_name=TASK,
                    task_bos_token=f"[{TASK}]",
                    prompt_func=const_prompt_func_wrapper(
                        "Response based on the dialogue context and given knowledge"
                    ),
                    knowledge_func=None_knowledge,
                    label_func=extract_turn_utterance,
                    roles_to_build_example=[["SYSTEM"]],
                )
            )
        else:
            serial_proc = SerialPreprocessor(
                SerialConfig(
                    input_data_path,
                    output_data_path,
                    TASK,
                    logger_name=TASK,
                    task_bos_token=f"[{TASK}]",
                    prompt_func=const_prompt_func_wrapper(
                        "Response based on the dialogue context and given knowledge"
                    ),
                    knowledge_func=extract_kg_knowledge_wrapper(": ", " | ", "; ", " "),
                    # knowledge_func=extract_dialogue_knowledge_wrapper(": ", " | ", ", "),
                    # knowledge_func=None_knowledge,
                    label_func=extract_turn_utterance,
                    roles_to_build_example=[["SYSTEM"], ["USER"]],
                    dev_and_test_roles_to_build_example=[["SYSTEM"]],
                )
            )
    else:
        serial_proc = SerialPreprocessor(
            SerialConfig(
                input_data_path,
                output_data_path,
                TASK,
                logger_name=TASK,
                task_bos_token=f"[{TASK}]",
                prompt_func=const_prompt_func_wrapper(
                    "Response based on the dialogue context and given knowledge"
                ),
                # knowledge_func=extract_kg_knowledge_wrapper(": ", " | ", "; ", " "),
                knowledge_func=extract_dialogue_knowledge_wrapper(": ", " | ", ", "),
                label_func=extract_turn_utterance,
                roles_to_build_example=[["SYSTEM"]],
                roles_in_history=[["USER"]],
                multi_ref_sep=MULTI_REF_SEP,
            )
        )

    serial_proc.launch()