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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def log_metrics(self, metrics_by_name, info):
 """Store new measurements to the database. Take measurements and store them into the metrics collection in the database. Additionally, reference the metrics in the info["metrics"] dictionary. """

        if self.metrics is None:
            # If, for whatever reason, the metrics collection has not been set
            # do not try to save anything there.
            return
        for key in metrics_by_name:
            query = {"run_id": self.run_entry['_id'],
                     "name": key}
            push = {"steps": {"$each": metrics_by_name[key]["steps"]},
                    "values": {"$each": metrics_by_name[key]["values"]},
                    "timestamps": {"$each": metrics_by_name[key]["timestamps"]}
                    }
            update = {"$push": push}
            result = self.metrics.update_one(query, update, upsert=True)
            if result.upserted_id is not None:
                # This is the first time we are storing this metric
                info.setdefault("metrics", []) \
                    .append({"name": key, "id": str(result.upserted_id)})