INNER CODE UNIT · Python

normalize

DataDog/dd-agent · checks/__init__.py:93

    def normalize(self, metric, prefix=None):
        """Turn a metric into a well-formed metric name
        prefix.b.c
        """
        name = re.sub(r"[,\@\+\*\-/()\[\]{}\s]", "_", metric)
        # Eliminate multiple _
        name = re.sub(r"__+", "_", name)
        # Don't start/end with _
        name = re.sub(r"^_", "", name)
        name = re.sub(r"_$", "", name)
        # Drop ._ and _.
        name = re.sub(r"\._", ".", name)
        name = re.sub(r"_\.", ".", name)

        if prefix is not None:
            return prefix + "." + name
        else:
            return name

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