def analyze()

in presidio-analyzer/presidio_analyzer/predefined_recognizers/spacy_recognizer.py [0:0]

• 21 lines of code
• 6 McCabe index (conditional complexity)

    def analyze(self, text, entities, nlp_artifacts=None):  # noqa D102
        results = []
        if not nlp_artifacts:
            logger.warning("Skipping SpaCy, nlp artifacts not provided...")
            return results

        ner_entities = nlp_artifacts.entities

        for entity in entities:
            if entity not in self.supported_entities:
                continue
            for ent in ner_entities:
                if not self.__check_label(entity, ent.label_, self.check_label_groups):
                    continue
                textual_explanation = self.DEFAULT_EXPLANATION.format(ent.label_)
                explanation = self.build_spacy_explanation(
                    self.ner_strength, textual_explanation
                )
                spacy_result = RecognizerResult(
                    entity, ent.start_char, ent.end_char, self.ner_strength, explanation
                )
                results.append(spacy_result)

        return results