def statcol(title, series, abbrev=''):
'Returns a list of formatted statistics lines, usable in a column table.'
statistics = lambda series: [('minimum', min(series)),
('median', median(series)),
('average', average(series)),
('maximum', max(series)),
('total', sum(series)),]
col = [header(title),]
for item in statistics(series):
col.append(statline(*item, abbrev=abbrev))
return col
def throughput(conn, credentials, command, abbrev=''):
'Prints the 5min, 1hr, and 1day statistics for a given throughput.'
ts = lambda seconds: timeseries(conn, credentials, seconds, command)
mn5 = statcol('Last 5 Min', ts(300), abbrev)
hr1 = statcol('Last Hour', ts(3600), abbrev)
dy1 = statcol('Last Day', ts(86400), abbrev)
rows = columnate([mn5, hr1, dy1])
width = 0
for row in rows:
for line in row:
width = max(width, c_len(line))
print(header(command, width, ':'))
print('')
for row in rows:
for line in row:
print(line)
print('')
