def build(self, runs):
# remove the hierarchy from stat_name and just use the final piece
self.stat = self.stat_name.split('.')[-1]
self.stat_long = self.stat_name
self.x_axis_title = 'benchmarks'
# split stat_name at the first '.'
(type, name) = self.stat_name.split('.', 1)
# create a Series for each entry
for entry in runs:
# series data, elements aligned to self.benchmarks
data = []
# append the stat value for each benchmark. 0 if not found
for benchmark in self.benchmarks:
# query the db
row = db_utils.find_one('stats', fields={'name': entry,
'type': type,
'benchmark': benchmark})
# append 0 and continue if a row wasn't found
if not row:
data.append(0)
continue
# append the stat value
data.append(db_utils.get_stat(row.stats, name))
# create a new Series for this runs entry and append to self.series
self.series.append(Series(name=entry, data=data, labels=data))
def build(self, runs):
# remove the hierarchy from stat_name and just use the final piece
self.stat = self.stat_name.split('.')[-1]
self.stat_long = self.stat_name
self.x_axis_title = 'benchmarks'
# split stat_name at the first '.'
(type, name) = self.stat_name.split('.', 1)
# create a Series for each entry
for entry in runs:
# series data, elements aligned to self.benchmarks
data = []
# append the stat value for each benchmark. 0 if not found
for benchmark in self.benchmarks:
# query the db
row = db_utils.find_one('stats',
fields={
'name': entry,
'type': type,
'benchmark': benchmark
})
# append 0 and continue if a row wasn't found
if not row:
data.append(0)
continue
# append the stat value
data.append(db_utils.get_stat(row.stats, name))
# create a new Series for this runs entry and append to self.series
self.series.append(Series(name=entry, data=data, labels=data))
def select_procs(stat_name, proc_names):
'''
turn a list of processor names into a list of names to access the stats_db with.
if <stat_name> is a core stat, turn each processor name into '<proc_name> <core_name>'
for each core in the processor.
if <stat_name> is a process stat, turn each processor name into '<proc_name> process_0'
'''
# find the type of stat
stat_type = stat_name.split('.')[0]
# list of names to access the stats db with
db_names = []
if stat_type == 'processor':
return proc_names
elif stat_type == 'core':
for p in proc_names:
# find how many cores p has
row = db_utils.find_one('knobs', fields={'type': 'processor', 'name': p})
if row is None:
logging.error('problem finding {0} in the knobs db'.format(p))
continue
for core_name in row.knobs['core_names']:
# <processor_name> <core_name>
db_names.append(p + ' ' + core_name)
return db_names
elif stat_type == 'process':
# right now only 1 process per processor is supported
for p in proc_names:
# <processor_name> process_0
db_names.append(p + ' process_0')
return db_names
else:
logging.error('unknown stat type: {0}'.format(stat_type))
return proc_names
def select_procs(stat_name, proc_names):
'''
turn a list of processor names into a list of names to access the stats_db with.
if <stat_name> is a core stat, turn each processor name into '<proc_name> <core_name>'
for each core in the processor.
if <stat_name> is a process stat, turn each processor name into '<proc_name> process_0'
'''
# find the type of stat
stat_type = stat_name.split('.')[0]
# list of names to access the stats db with
db_names = []
if stat_type == 'processor':
return proc_names
elif stat_type == 'core':
for p in proc_names:
# find how many cores p has
row = db_utils.find_one('knobs',
fields={
'type': 'processor',
'name': p
})
if row is None:
logging.error('problem finding {0} in the knobs db'.format(p))
continue
for core_name in row.knobs['core_names']:
# <processor_name> <core_name>
db_names.append(p + ' ' + core_name)
return db_names
elif stat_type == 'process':
# right now only 1 process per processor is supported
for p in proc_names:
# <processor_name> process_0
db_names.append(p + ' process_0')
return db_names
else:
logging.error('unknown stat type: {0}'.format(stat_type))
return proc_names
