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Add the shared state to the global scope to get previous data (influx…
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# Example showing how to keep the last metric in order to compare it with the new one. | ||
# | ||
# Example Input: | ||
# cpu value=10i 1465839830100400201 | ||
# cpu value=8i 1465839830100400301 | ||
# | ||
# Example Output: | ||
# cpu_diff value=2i 1465839830100400301 | ||
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state = { | ||
"last": None | ||
} | ||
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def apply(metric): | ||
# Load from the shared state the metric assigned to the key "last" | ||
last = state["last"] | ||
# Store the deepcopy of the new metric into the shared state and assign it to the key "last" | ||
# NB: To store a metric into the shared state you have to deep copy it | ||
state["last"] = deepcopy(metric) | ||
if last != None: | ||
# Create a new metric named "cpu_diff" | ||
result = Metric("cpu_diff") | ||
# Set the field "value" to the difference between the value of the last metric and the current one | ||
result.fields["value"] = last.fields["value"] - metric.fields["value"] | ||
return result |