def simulate()

in opensearch_dsl/analysis.py [0:0]

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

    def simulate(self, text, using="default", explain=False, attributes=None):
        """
        Use the Analyze API of opensearch to test the outcome of this analyzer.

        :arg text: Text to be analyzed
        :arg using: connection alias to use, defaults to ``'default'``
        :arg explain: will output all token attributes for each token. You can
            filter token attributes you want to output by setting ``attributes``
            option.
        :arg attributes: if ``explain`` is specified, filter the token
            attributes to return.
        """
        opensearch = get_connection(using)

        body = {"text": text, "explain": explain}
        if attributes:
            body["attributes"] = attributes

        definition = self.get_analysis_definition()
        analyzer_def = self.get_definition()

        for section in ("tokenizer", "char_filter", "filter"):
            if section not in analyzer_def:
                continue
            sec_def = definition.get(section, {})
            sec_names = analyzer_def[section]

            if isinstance(sec_names, six.string_types):
                body[section] = sec_def.get(sec_names, sec_names)
            else:
                body[section] = [
                    sec_def.get(sec_name, sec_name) for sec_name in sec_names
                ]

        if self._builtin_type != "custom":
            body["analyzer"] = self._builtin_type

        return AttrDict(opensearch.indices.analyze(body=body))