def _to_proto()

in google/generativeai/types/retriever_types.py [0:0]

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

    def _to_proto(self):
        kwargs = {}
        conditions = []
        for c in self.conditions:
            if isinstance(c.value, str):
                kwargs["string_value"] = c.value
            elif isinstance(c.value, (int, float)):
                kwargs["numeric_value"] = float(c.value)
            else:
                raise ValueError(
                    f"Invalid value type: The value for the condition must be either a string or an integer/float. Received: '{c.value}' of type {type(c.value).__name__}."
                )
            kwargs["operation"] = c.operation

            condition = protos.Condition(**kwargs)
            conditions.append(condition)

        return protos.MetadataFilter(key=self.key, conditions=conditions)