normalize metric label to match prometheus data-model guide
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@ -21,7 +21,7 @@ class MetricsController(Controller):
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else:
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raise ValueError("Unexpected metric type for metric {}".format(repr(metric)))
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return "{key} {value}".format(key=key.replace(".", "_"), value=value)
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return "{key} {value}".format(key=re.sub('[^a-zA-Z0-9:_]', '_', key), value=value)
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data = ["# https://prometheus.io/docs/instrumenting/exposition_formats/"] + [
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prometheusFormat(k, v) for k, v in metrics.items()
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