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param-bharat
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46466a5
1
Parent(s):
b2417a0
feat: upgrade regex detection model to multi-pattern detection
Browse files- guardrails_genie/regex_model.py +37 -26
guardrails_genie/regex_model.py
CHANGED
@@ -1,65 +1,76 @@
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from typing import
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import weave
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from pydantic import BaseModel
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class RegexResult(BaseModel):
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passed: bool
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matched_patterns:
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failed_patterns:
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class RegexModel(weave.Model):
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patterns:
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def __init__(
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"""
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Initialize RegexModel with a dictionary of patterns.
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Args:
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patterns: Dictionary where key is pattern name and value is regex pattern
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Example: {"email": r"[^@ \t\r\n]+@[^@ \t\r\n]+\.[^@ \t\r\n]+",
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"phone": r"\b\d{3}[-.]?\d{3}[-.]?\d{4}\b"}
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"""
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super().__init__(patterns=patterns)
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self._compiled_patterns = {
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name: re.compile(
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}
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@weave.op()
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def check(self,
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"""
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Check text against all patterns and return detailed results.
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Args:
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text: Input text to check against patterns
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Returns:
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RegexResult containing pass/fail status and details about matches
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"""
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matched_patterns = {}
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failed_patterns = []
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for pattern_name,
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matches = []
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for
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-
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-
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-
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if matches:
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matched_patterns[pattern_name] = matches
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else:
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failed_patterns.append(pattern_name)
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return RegexResult(
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matched_patterns=matched_patterns,
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failed_patterns=failed_patterns,
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passed=len(matched_patterns) == 0
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)
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@weave.op()
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@@ -67,4 +78,4 @@ class RegexModel(weave.Model):
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"""
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Alias for check() to maintain consistency with other models.
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"""
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return self.check(text)
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from typing import Union, Optional
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import regex as re
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import weave
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from pydantic import BaseModel
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class RegexResult(BaseModel):
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passed: bool
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matched_patterns: dict[str, list[str]]
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failed_patterns: list[str]
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class RegexModel(weave.Model):
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patterns: Optional[Union[dict[str, str], dict[str, list[str]]]] = None
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def __init__(
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self, patterns: Optional[Union[dict[str, str], dict[str, list[str]]]] = None
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) -> None:
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"""
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Initialize RegexModel with a dictionary of patterns.
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Args:
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patterns: Dictionary where key is pattern name and value is regex pattern or a list of patterns.
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Example: {"email": r"[^@ \t\r\n]+@[^@ \t\r\n]+\.[^@ \t\r\n]+",
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"phone": [r"\b\d{3}[-.]?\d{3}[-.]?\d{4}\b"]}
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"""
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super().__init__(patterns=patterns)
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normalized_patterns = {}
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for k, v in patterns.items():
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normalized_patterns[k] = v if isinstance(v, list) else [v]
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self._compiled_patterns = {
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name: [re.compile(p) for p in pattern]
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for name, pattern in normalized_patterns.items()
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}
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@weave.op()
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def check(self, text: str) -> RegexResult:
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"""
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Check text against all patterns and return detailed results.
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Args:
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text: Input text to check against patterns
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Returns:
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RegexResult containing pass/fail status and details about matches
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"""
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matched_patterns = {}
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failed_patterns = []
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for pattern_name, pats in self._compiled_patterns.items():
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matches = []
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for pattern in pats:
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for match in pattern.finditer(text):
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if match.groups():
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# If there are capture groups, join them with a separator
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matches.append(
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"-".join(str(g) for g in match.groups() if g is not None)
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)
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else:
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# If no capture groups, use the full match
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matches.append(match.group(0))
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if matches:
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matched_patterns[pattern_name] = matches
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else:
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failed_patterns.append(pattern_name)
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return RegexResult(
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matched_patterns=matched_patterns,
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failed_patterns=failed_patterns,
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passed=len(matched_patterns) == 0,
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)
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@weave.op()
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"""
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Alias for check() to maintain consistency with other models.
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"""
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return self.check(text)
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