da = DataAnalysis(config['database-url'])
for repo in config['repos']:
page_title = repo.get('title', '').format(date=datetime.datetime.now())
hash_id = hashlib.md5(repo['path']).hexdigest()
data = []
for chart in config['charts']:
num_days = chart['duration']
d = []
if chart['data-type'] == 'average':
# Compute averages
for branch in repo['highlight-branches']:
d.append(da.compute_averages(hash_id, num_days, ['success'],
branch, weekdays_only))
d.append(da.compute_averages(hash_id, num_days, ['success'], None,
weekdays_only))
d = da.pad_missing_days(d)
data.append({
"label" : chart['label'],
"id" : hashlib.md5(chart['label']).hexdigest(),
"chart_type" : chart['chart-type'],
"data_type" : chart['data-type'],
'data' : d,
"colors" : chart.get('colors', None)
})
elif chart['data-type'] == 'top-builds':
d.append(da.compute_top_builders(hash_id, num_days,
weekdays_only = config['weekdays-only']
def display(data):
pre = data.branch
if pre is None:
pre = ''
days = sorted(data.data.keys())
for i in days:
print("{0}>{1}:{2}".format(pre, i,data.data[i]))
#print("{0}-----{1}".format(pre, data.average))
print("{0}-----{1}".format(pre, len(data.data)))
for repo in config['repos']:
hash_id = hashlib.md5(repo['path']).hexdigest()
for chart in config['charts']:
print(chart['label'])
num_days = chart['duration']
d = []
if chart['data-type'] == 'average':
d.append(da.compute_averages(hash_id, num_days, outcomes, None,
weekdays_only))
for branch in repo['highlight-branches']:
d.append(da.compute_averages(hash_id, num_days, outcomes,
branch, weekdays_only))
d = da.pad_missing_days(d)
for i in d:
display(i)
print("max_days: {0}\tweekdays_only: {1}\n".format(num_days, weekdays_only))
