def ConstructTestDataframe(since, limit=1000, read_results=False):
perf_data = {'func_name': [], 'activationId': [], 'start': [], 'end': [
], 'duration': [], 'waitTime': [], 'initTime': [], 'latency': [], 'lang': []}
if read_results:
perf_data['results'] = []
activations = GetActivationRecordsSince(since=since, limit=limit)
if 'error' in activations.keys():
print('Encountered an error getting data from the DB! Check the logs for more info.')
print('DB error: ' + activations['reason'])
return None
activations = activations['docs']
for activation in activations:
if 'invokerHealthTestAction' in activation['name']:
# skipping OpenWhisk's health check invocations
continue
perf_data['func_name'].append(activation['name'])
perf_data['activationId'].append(activation['_id'])
perf_data['start'].append(activation['start'])
perf_data['end'].append(activation['end'])
perf_data['duration'].append(activation['duration'])
extra_data = ExtractExtraAnnotations(activation['annotations'])
perf_data['waitTime'].append(extra_data['waitTime'])
perf_data['initTime'].append(extra_data['initTime'])
perf_data['lang'].append(extra_data['kind'])
perf_data['latency'].append(
perf_data['duration'][-1]+perf_data['waitTime'][-1])
if read_results:
perf_data['results'].append(activation['response']['result'])
# perf_data['statusCode'].append(activation['response']['statusCode'])
return pd.DataFrame(perf_data)
def ConstructTestDataframe(since, limit=1000, read_results=False):
"""
Constructs a dataframe for the performance information of all invocations.
"""
perf_data = {
'func_name': [],
'activationId': [],
'start': [],
'end': [],
'duration': [],
'waitTime': [],
'initTime': [],
'latency': [],
'lang': []
}
if read_results:
perf_data['results'] = []
activations = GetActivationRecordsSince(since=since, limit=limit)
activations = activations['docs']
for activation in activations:
perf_data['func_name'].append(activation['name'])
perf_data['activationId'].append(activation['_id'])
perf_data['start'].append(activation['start'])
perf_data['end'].append(activation['end'])
perf_data['duration'].append(activation['duration'])
extra_data = ExtractExtraAnnotations(activation['annotations'])
perf_data['waitTime'].append(extra_data['waitTime'])
perf_data['initTime'].append(extra_data['initTime'])
perf_data['lang'].append(extra_data['kind'])
perf_data['latency'].append(perf_data['duration'][-1] +
perf_data['waitTime'][-1])
if read_results:
perf_data['results'].append(activation['response']['result'])
# perf_data['statusCode'].append(activation['response']['statusCode'])
return pd.DataFrame(perf_data)