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Include job data for validation #102

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Original file line number Diff line number Diff line change
Expand Up @@ -92,9 +92,6 @@ def aggregateWorkloads(filename, outputResults):
columns_to_check = ['owner_kind', 'owner_name', 'workload', 'workload_type']
df = df.dropna(subset=columns_to_check, how='any')

# Ignore rows with 'workload_type' value of 'job'
df = df[df['workload_type'] != 'job']

# Create a column with k8_object_type
# Based on the data observed, these are the assumptions:
# If owner_kind is 'ReplicaSet' and workload is '<none>', actual workload_type is ReplicaSet
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