def parse_result_line(line):
"""
Function to parse a memtier summary line, returns any non-valid numbers with default value 0.0.
:param line: Line to parse (guaranteed by caller to be a valid summary line).
:return: Parsed elements as tuples of doubles.
"""
r_type, throughput, hits, misses, response_time, data_throughput = line.split(
)
throughput = StdLib.get_sane_double(throughput)
response_time = StdLib.get_sane_double(response_time)
data_throughput = StdLib.get_sane_double(data_throughput)
if r_type == 'Gets':
hits = StdLib.get_sane_double(hits)
misses = StdLib.get_sane_double(misses)
return {
'Request_Throughput': throughput,
'Hits': hits,
'Misses': misses,
'Response_Time': response_time,
'Data_Throughput': data_throughput
}
else:
return {
'Request_Throughput': throughput,
'Response_Time': response_time,
'Data_Throughput': data_throughput
}
def parse_histogram_entry(line):
"""
Function to parse a memtier histogram line, returns a valid tuple.
:param line: Line to parse (guaranteed by caller to be a valid histogram line).
:return: Parsed elements as tuples of doubles.
"""
_, bucket, cdf_until_and_including_bucket = line.split()
bucket = StdLib.get_sane_double(bucket)
cdf_until_and_including_bucket = StdLib.get_sane_double(
cdf_until_and_including_bucket)
return bucket, cdf_until_and_including_bucket
def normalize(self, entry, factor):
if entry == 'Histogram_GET':
print("Not implemented")
if entry == 'Histogram_SET':
print("Not implemented")
if entry == 'GET':
if self.get_observed['Request_Throughput'] is not None:
multiplier = self.get_observed['Request_Throughput'] / factor
for i in [
'Request_Size', 'Queue_Waiting_Time',
'Memcached_Communication', 'Response_Time'
]:
if i in self.get_observed:
self.get_observed[
i] = self.get_observed[i] * multiplier
if 'Key_Distribution' in self.get_observed.keys(
) and self.get_observed['Key_Distribution'] is not None:
self.get_observed['Key_Distribution'] = tuple(
StdLib.get_sane_double(x) * multiplier
for x in self.get_observed['Key_Distribution'])
self.get_interactive['Response_Time'] = self.get_interactive[
'Response_Time'] * multiplier
if entry == 'SET':
if self.set_observed['Request_Throughput'] is not None:
multiplier = self.set_observed['Request_Throughput'] / factor
for i in [
'Queue_Waiting_Time', 'Memcached_Communication',
'Response_Time'
]: # , 'Queue_Size']:
if i in self.set_observed:
self.set_observed[
i] = self.set_observed[i] * multiplier
self.set_interactive['Response_Time'] = self.set_interactive[
'Response_Time'] * multiplier
def parse_file(base_path, ping_target):
ping_history = []
filename = base_path.joinpath(ping_target + ".ping")
# Read in all lines
with open(filename, "r") as file:
for line in file:
splits = line.split('=')
if len(splits) > 3:
ping_info = splits[3].split()
if ping_info[1] == 'ms':
ping_history.append(
StdLib.get_sane_double(ping_info[0]))
elif ping_info[1] == 's':
ping_history.append(
1000 * StdLib.get_sane_double(ping_info[0]))
else:
print("Unexpected unit, got value {} {}", ping_info[0],
ping_info[1])
return sum(ping_history) / len(ping_history)