def to_dict()

in elasticsearch/dsl/search_base.py [0:0]

• 32 lines of code
• 16 McCabe index (conditional complexity)

    def to_dict(self, count: bool = False, **kwargs: Any) -> Dict[str, Any]:
        """
        Serialize the search into the dictionary that will be sent over as the
        request's body.

        :arg count: a flag to specify if we are interested in a body for count -
            no aggregations, no pagination bounds etc.

        All additional keyword arguments will be included into the dictionary.
        """
        d = {}

        if self.query:
            d["query"] = recursive_to_dict(self.query)

        if self._knn:
            if len(self._knn) == 1:
                d["knn"] = self._knn[0]
            else:
                d["knn"] = self._knn

        if self._rank:
            d["rank"] = self._rank

        # count request doesn't care for sorting and other things
        if not count:
            if self.post_filter:
                d["post_filter"] = recursive_to_dict(self.post_filter.to_dict())

            if self.aggs.aggs:
                d.update(recursive_to_dict(self.aggs.to_dict()))

            if self._sort:
                d["sort"] = self._sort

            if self._collapse:
                d["collapse"] = self._collapse

            d.update(recursive_to_dict(self._extra))

            if self._source not in (None, {}):
                d["_source"] = self._source

            if self._highlight:
                d["highlight"] = {"fields": self._highlight}
                d["highlight"].update(self._highlight_opts)

            if self._suggest:
                d["suggest"] = self._suggest

            if self._script_fields:
                d["script_fields"] = self._script_fields

        d.update(recursive_to_dict(kwargs))
        return d