OpenCompass/opencompass/utils/text_postprocessors.py

import re
from typing import Callable, Optional, Union

from opencompass.registry import TEXT_POSTPROCESSORS


@TEXT_POSTPROCESSORS.register_module('general')
def general_postprocess(text: str) -> str:
    # Cut off the first newline, period, or comma
    truncated_text = re.split(r'[\n.,]', text, 1)[0]

    # Remove punctuation
    no_punctuation = re.sub(r'[^\w\s]', '', truncated_text)

    # Remove article
    no_articles = re.sub(r'\b(a|an|the)\b',
                         '',
                         no_punctuation,
                         flags=re.IGNORECASE)

    # Remove duplicated blank spaces
    cleaned_text = re.sub(r'\s+', ' ', no_articles).strip()

    return cleaned_text


@TEXT_POSTPROCESSORS.register_module('general_cn')
def general_cn_postprocess(text: str) -> str:
    truncated_text = re.split(r'[\n.,]', text, 1)[0]

    no_punctuation = re.sub(r'[^\w\s]', '', truncated_text)

    no_articles = re.sub(r'\b(a|an|the)\b',
                         '',
                         no_punctuation,
                         flags=re.IGNORECASE)

    cleaned_text = re.sub(r'\s+', ' ', no_articles).strip()
    import jieba
    cleaned_text = ' '.join(jieba.cut(text))
    return cleaned_text


@TEXT_POSTPROCESSORS.register_module('first-capital')
def first_capital_postprocess(text: str) -> str:
    for t in text:
        if t.isupper():
            return t
    return ''


@TEXT_POSTPROCESSORS.register_module('last-capital')
def last_capital_postprocess(text: str) -> str:
    for t in text[::-1]:
        if t.isupper():
            return t
    return ''


def first_option_postprocess(text: str, options: str, cushion=True) -> str:
    """Find first valid option for text."""

    # yapf: disable
    # flake8: noqa: W605
    patterns = [
        f'答案是?\s*([{options}])',
        f'答案是?\s*：\s*([{options}])',
        f'答案是?\s*:\s*([{options}])',
        f'答案选项应?该?是\s*([{options}])',
        f'答案选项应?该?为\s*([{options}])',
        f'答案应该?是\s*([{options}])',
        f'答案应该?选\s*([{options}])',
        f'答案选项为?\s*：\s*([{options}])',
        f'答案选项是?\s*:\s*([{options}])',
        f'答案为\s*([{options}])',
        f'答案选\s*([{options}])',
        f'选择?\s*([{options}])',
        f'故选?\s*([{options}])'
        f'只有选?项?\s?([{options}])\s?是?对',
        f'只有选?项?\s?([{options}])\s?是?错',
        f'只有选?项?\s?([{options}])\s?不?正确',
        f'只有选?项?\s?([{options}])\s?错误',
        f'说法不?对选?项?的?是\s?([{options}])',
        f'说法不?正确选?项?的?是\s?([{options}])',
        f'说法错误选?项?的?是\s?([{options}])',
        f'([{options}])\s?是正确的',
        f'([{options}])\s?是正确答案',
        f'选项\s?([{options}])\s?正确',
        f'所以答\s?([{options}])',
        f'所以\s?([{options}][.。$]?$)',
        f'所有\s?([{options}][.。$]?$)',
        f'[\s，：:,]([{options}])[。，,\.]?$',
        f'[\s，,：:][故即]([{options}])[。\.]?$',
        f'[\s，,：:]因此([{options}])[。\.]?$',
        f'[是为。]\s?([{options}])[。\.]?$',
        f'因此\s?([{options}])[。\.]?$',
        f'显然\s?([{options}])[。\.]?$',
        f'答案是\s?(\S+)(?:。|$)',
        f'答案应该是\s?(\S+)(?:。|$)',
        f'答案为\s?(\S+)(?:。|$)',
        f'(?i)ANSWER\s*:\s*([{options}])',
        f'[Tt]he answer is:?\s+\(?([{options}])\)?',
        f'[Tt]he answer is option:?\s+\(?([{options}])\)?',
        f'[Tt]he correct answer is:?\s+\(?([{options}])\)?',
        f'[Tt]he correct answer is option:?\s+\(?([{options}])\)?',
        f'[Tt]he correct answer is:?.*?boxed{{([{options}])}}',
        f'[Tt]he correct option is:?.*?boxed{{([{options}])}}',
        f'[Tt]he correct answer option is:?.*?boxed{{([{options}])}}',
        f'[Tt]he answer to the question is:?\s+\(?([{options}])\)?',
        f'^选项\s?([{options}])',
        f'^([{options}])\s?选?项',
        f'(\s|^)[{options}][\s。，,：:\.$]',
        f'1.\s?(.*?)$',
        f'1.\s?([{options}])[.。$]?$',
    ]
    cushion_patterns = [
        f'([{options}]):',
        f'([{options}])',
    ]
    # flake8: noqa
    # yapf: enable

    if cushion:
        patterns.extend(cushion_patterns)
    for pattern in patterns:
        text = text.strip()
        match = re.search(pattern, text, re.DOTALL)
        if match:
            outputs = match.group(0)
            for i in options:
                if i in outputs:
                    return i
    return ''


@TEXT_POSTPROCESSORS.register_module('first-capital-multi')
def first_capital_postprocess_multi(text: str) -> str:
    match = re.search(r'([A-D]+)', text)
    if match:
        return match.group(1)
    return ''


def last_option_postprocess(text: str, options: str) -> str:
    match = re.findall(rf'([{options}])', text)
    if match:
        return match[-1]
    return ''


def first_number_postprocess(text: str) -> float:
    """Return the first number in a string."""
    # regex pattern to match numbers (both integers and decimals)
    pattern = r'(-?\d*\.?\d+)'

    # search the string for the pattern
    match = re.search(pattern, text)

    # if a match is found, return it. Otherwise, return None.
    return float(match.group(1)) if match else None


@TEXT_POSTPROCESSORS.register_module('multiple-select')
def multiple_select_postprocess(text: str) -> str:
    ret = set([t for t in text if t.isupper()])
    return ''.join(sorted(ret))


def general_eval_wrapper_postprocess(text: str,
                                     postprocess: Optional[Union[
                                         str, Callable]] = None,
                                     **kwargs) -> str:
    """Wrapper for eval text repr. Especially for chatglmpro.

    Args:
        text(str): Text to be postprocessed.
        postprocess(Callable, optional): Original post processing function.
            Defaults to None.
        **kwargs: Other necessary kwargs for post processing function.
    """
    try:
        text = eval(text)
    except Exception:
        # in case empty input or other error, skip eval
        pass

    if postprocess:
        if isinstance(postprocess, str):
            postprocess = TEXT_POSTPROCESSORS.get(postprocess)
        return postprocess(text, **kwargs)
    else:
        return text


def match_answer_pattern(response_text: str, answer_pattern: str):
    match = re.search(answer_pattern, response_text)
    extracted_answer = match.group(1) if match else ''
    return extracted_answer