data_juicer.ops.mapper.replace_content_mapper 源代码
from typing import List, Union
import regex as re
from ..base_op import OPERATORS, Mapper
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@OPERATORS.register_module("replace_content_mapper")
class ReplaceContentMapper(Mapper):
"""Mapper to replace all content in the text that matches
a specific regular expression pattern with a designated
replacement string."""
_batched_op = True
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def __init__(self, pattern: Union[str, List[str], None] = None, repl: Union[str, List[str]] = "", *args, **kwargs):
"""
Initialization method.
:param pattern: regular expression pattern(s) to search for within text
:param repl: replacement string(s), default is empty string
:param args: extra args
:param kwargs: extra args
"""
super().__init__(*args, **kwargs)
self.pattern = pattern
self.repl = repl
self.compiled_patterns = []
if isinstance(pattern, str):
self.compiled_patterns.append(self._prepare_pattern(pattern))
elif isinstance(pattern, list):
for p in pattern:
self.compiled_patterns.append(self._prepare_pattern(p))
def _prepare_pattern(self, pattern: str) -> re.Pattern:
"""Prepare the regular expression pattern."""
if (pattern is not None and len(pattern) > 2) and (
pattern.startswith("r'") and pattern.endswith("'") or pattern.startswith('r"') and pattern.endswith('"')
):
pattern = pattern[2:-1]
return re.compile(pattern, flags=re.DOTALL)
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def process_batched(self, samples):
if self.pattern is None:
return samples
for idx, text in enumerate(samples[self.text_key]):
for i, pattern in enumerate(self.compiled_patterns):
if isinstance(self.repl, list) and i < len(self.repl):
replacement = self.repl[i]
elif isinstance(self.repl, list) and i >= len(self.repl):
raise ValueError(
f"pattern length: {len(self.pattern)} '" f"must be equal to " f"repl length: {len(self.repl)}"
)
else:
replacement = self.repl
text = pattern.sub(replacement, text)
samples[self.text_key][idx] = text
return samples