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tool/metric: show metrics in table

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This commit is contained in:
Matthias Ringwald 2019-08-30 22:28:25 +02:00
parent 4c65e7e535
commit d7e6933a33
1 changed files with 38 additions and 11 deletions
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49
tool/metrics/metrics-ccsm.py
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@ -18,12 +18,15 @@ targets = {}
targets['PATH'] = 1000
targets['GOTO'] = 0
targets['CCN'] = 10
targets['CCN'] = 20
targets['CALLS'] = 12
targets['PARAM'] = 7
targets['STMT'] = 100
targets['LEVEL'] = 6
targets['RETURN'] = 6
targets['RETURN'] = 1
excluded_functions = [
]
def metric_sum(name, value):
global metrics
@ -54,10 +57,13 @@ def metric_measure(metric_name, function_name, actual):
metric_sum(metric_name + '_SUM', actual)
if actual > targets[metric_name]:
metric_sum(metric_name + '_DEVIATIONS', 1)
metric_list(metric_name + '_LIST', function_name + '(%u)' % actual)
# metric_list(metric_name + '_LIST', function_name + '(%u)' % actual)
metric_list(metric_name + '_LIST', function_name)
def analyze_folders(btstack_root, folders):
global excluded_functions
# File,Name,"'goto' keyword count (raw source)","Return points","Statement count (raw source)(local)",
# "Statement count (raw source)(cumulative)","Comment density","McCabe complexity (raw source)",
# "Number of paths through the function","No. different functions called","Function Parameters",
@ -65,7 +71,7 @@ def analyze_folders(btstack_root, folders):
fields = [ 'file','function','GOTO','RETURN','_','STMT' ,'_','CCN','PATH','CALLS','PARAM','LEVEL','_','_','_']
# for now, just read the file
with open("btstack.tsv") as fd:
with open("metrics.tsv") as fd:
rd = csv.reader(fd, delimiter="\t")
last_function_name = ''
for row in rd:
@ -73,7 +79,7 @@ def analyze_folders(btstack_root, folders):
function_metrics = {}
for key, value in zip(fields, row):
if key == 'file':
file = value
file = value.replace('../../','')
continue
if key == 'function':
function_name = value
@ -83,11 +89,15 @@ def analyze_folders(btstack_root, folders):
function_metrics[key] = value
if file.endswith('.h'):
continue
if function_name != last_function_name:
last_function_name = function_name
qualified_function_name = file+':'+function_name
if qualified_function_name != last_function_name:
last_function_name = qualified_function_name
metric_sum('FUNC', 1)
# exclude functions
if qualified_function_name in excluded_functions:
continue
for key,value in function_metrics.items():
metric_measure(key, function_name, int(function_metrics[key]))
metric_measure(key, qualified_function_name, int(function_metrics[key]))
def analyze(folders):
# print ("\nAnalyzing:")
@ -115,6 +125,22 @@ def list_metrics():
else:
print ('- %-20s: %5u' % (key, value))
def list_metrics_table():
row = "%-11s |%11s |%11s |%11s"
print( row % ('Name', 'Target', 'Deviations', 'Max value'))
print("------------|------------|------------|------------")
ordered_metrics = [ 'PATH', 'GOTO', 'CCN', 'CALLS', 'PARAM', 'STMT', 'LEVEL', 'RETURN', 'FUNC'];
for metric_name in ordered_metrics:
if metric_name in targets:
target = targets[metric_name]
deviations = metrics[metric_name + '_DEVIATIONS']
max = metrics[metric_name + '_MAX']
print ( row % ( metric_name, target, deviations, max))
else:
print ( row % ( metric_name, '', '', ''))
def list_deviations():
global metrics
for key,value in sorted(metrics.items()):
@ -124,6 +150,7 @@ def list_deviations():
print ('\n'.join(value))
analyze(folders)
list_targets()
list_metrics()
list_deviations()
list_metrics_table()
# list_targets()
# list_metrics()
# list_deviations()