jZddlZddlmZmZmZddlmZmZGddejZ y)N)AnyUnionOptional) base_metric score_resultc eZdZdZ d deeejfdedede effd Z dede d e jfd ZxZS) RegexMatcha A metric that checks if an output string matches a given regular expression pattern. This metric returns a score of 1.0 if the output string matches the regex pattern, and 0.0 otherwise. Args: regex: The regular expression pattern to match against. Can be a string or a compiled regex pattern. name: The name of the metric. Defaults to "regex_match_metric". track: Whether to track the metric. Defaults to True. project_name: Optional project name to track the metric in for the cases when there are no parent span/trace to inherit project name from. Example: >>> from opik.evaluation.metrics import RegexMatch >>> regex_metric = RegexMatch("\d{3}-\d{2}-\d{4}") >>> result = regex_metric.score("My SSN is 123-45-6789") >>> print(result.value) 1.0 >>> result = regex_metric.score("My phone is 555-1234") >>> print(result.value) 0.0 regexnametrack project_namect||||t|trt j ||_y||_y)N)r r r)super__init__ isinstancestrrecompile_regex_pattern)selfr r r r __class__s /Users/manta/Documents/Projects/TheRoad-I1/backend/.venv/lib/python3.12/site-packages/opik/evaluation/metrics/heuristics/regex_match.pyrzRegexMatch.__init__sJ %  ",E3!7BJJu  =B outputignored_kwargsreturnc |jj|r!tjd|jStjd|jS)a Calculate the score based on whether the output string matches the regex pattern. Args: output: The output string to check against the regex pattern. **ignored_kwargs: Additional keyword arguments that are ignored. Returns: score_result.ScoreResult: A ScoreResult object with a value of 1.0 if the output matches the regex pattern, 0.0 otherwise. g?)valuer g)rsearchr ScoreResultr )rrrs rscorezRegexMatch.score0sF    % %f -++#DIIF F''c BBr)regex_match_metricTN)__name__ __module__ __qualname____doc__rrrPatternboolrrrrr!r" __classcell__)rs@rr r ss4)&*  S"**_%    sm  "CCC3C<;S;SCrr ) rtypingrrrrr BaseMetricr rrr/s% ''(8C''8Cr