Aggregate Monitoring Data Function | Dataford Interview Questions

Implement a function to aggregate monitoring data from multiple sources and identify trends.

Use the provided function signature. sources is a list of source lists, where each sample is a dictionary with metric, timestamp, and numeric value. Return a dictionary keyed by metric, containing sorted timestamp averages and a trend labeled increasing, decreasing, or stable; compare the first and last aggregated averages to determine the trend.

Constraints

1 <= total number of samples <= 10^5
1 <= number of sources <= 10^4
Each sample contains a non-empty string metric, an integer timestamp, and a numeric value
Timestamps may repeat across sources
A metric with one timestamp has a stable trend

Function Signature

def aggregate_monitoring_data(sources):

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Problem

Implement a function to aggregate monitoring data from multiple sources and identify trends.

Constraints

1 <= total number of samples <= 10^5
1 <= number of sources <= 10^4
Each sample contains a non-empty string metric, an integer timestamp, and a numeric value
Timestamps may repeat across sources
A metric with one timestamp has a stable trend

Function Signature

def aggregate_monitoring_data(sources):

Your question is Aggregate Monitoring Data Function. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.