def process_13(): for item in files: issues = read.get_issues(item) milestones = defaultdict(lambda:0) for i in issues.keys(): ms = [x["milestone"] for x in issues[i] if x["milestone"]] if ms: milestones[ms[0]] += 1 graph.bar_chart(milestones.values(), title="Issues/Milestone for project "+item)
def process_13():
for item in files:
issues = read.get_issues(item)
milestones = defaultdict(lambda: 0)
for i in issues.keys():
ms = [x["milestone"] for x in issues[i] if x["milestone"]]
if ms:
milestones[ms[0]] += 1
graph.bar_chart(milestones.values(),
title="Issues/Milestone for project " + item)
def process_12():
issues = {}
for item in files:
count = 0
issue_data = read.get_issues(item)
for issue in issue_data.keys():
if(item == "1"):
print [x["milestone"] for x in issue_data[issue]]
if not any([True if x["milestone"] else False for x in issue_data[issue]]):
count += 1
issues["Project "+item] = count*100/len(issue_data.keys())
graph.bar_chart(issues.values(), issues.keys(), "Issues with no milestones")
def process_6():
for item in files:
commits = read.get_commits(item)
c_dict = {}
for commit in commits:
tt = datetime.fromtimestamp(commit["time"]).strftime('%m/%d')
if tt in c_dict:
c_dict[tt][1] += 1
else:
c_dict[tt] = [commit["time"], 1]
c_dict = c_dict.items()
c_dict = sorted(c_dict, key=lambda x:x[1][0])
graph.bar_chart([x[1][1] for x in c_dict], [x[0] for x in c_dict], "Commit Timeline")
def process_6():
for item in files:
commits = read.get_commits(item)
c_dict = {}
for commit in commits:
tt = datetime.fromtimestamp(commit["time"]).strftime('%m/%d')
if tt in c_dict:
c_dict[tt][1] += 1
else:
c_dict[tt] = [commit["time"], 1]
c_dict = c_dict.items()
c_dict = sorted(c_dict, key=lambda x: x[1][0])
graph.bar_chart([x[1][1] for x in c_dict], [x[0] for x in c_dict],
"Commit Timeline")
def process_12():
issues = {}
for item in files:
count = 0
issue_data = read.get_issues(item)
for issue in issue_data.keys():
if (item == "1"):
print[x["milestone"] for x in issue_data[issue]]
if not any(
[True if x["milestone"] else False
for x in issue_data[issue]]):
count += 1
issues["Project " + item] = count * 100 / len(issue_data.keys())
graph.bar_chart(issues.values(), issues.keys(),
"Issues with no milestones")
def process_9():
h_issues = {}
d_issues = {}
for item in files:
time_diff = []
issue_data = read.get_issues(item)
for issue in issue_data.keys():
single_list = [x["when"] for x in issue_data[issue]]
t = (max(single_list) - min(single_list)) / (60*60)
if t == 0:
continue
time_diff.append(t)
h_issues[item] = sum([1 for x in time_diff if x>=0 and x<1])*100/len(issue_data.keys())
d_issues[item] = sum([1 for x in time_diff if x>=0 and x<24])*100/len(issue_data.keys())
graph.bar_chart(h_issues.values(), ["Project "+x for x in h_issues.keys()], "Hour long issues percent")
graph.bar_chart(d_issues.values(), ["Project "+x for x in d_issues.keys()], "Day long issues percent")
def process_9():
h_issues = {}
d_issues = {}
for item in files:
time_diff = []
issue_data = read.get_issues(item)
for issue in issue_data.keys():
single_list = [x["when"] for x in issue_data[issue]]
t = (max(single_list) - min(single_list)) / (60 * 60)
if t == 0:
continue
time_diff.append(t)
h_issues[item] = sum([1 for x in time_diff if x >= 0 and x < 1
]) * 100 / len(issue_data.keys())
d_issues[item] = sum([1 for x in time_diff if x >= 0 and x < 24
]) * 100 / len(issue_data.keys())
graph.bar_chart(h_issues.values(),
["Project " + x for x in h_issues.keys()],
"Hour long issues percent")
graph.bar_chart(d_issues.values(),
["Project " + x for x in d_issues.keys()],
"Day long issues percent")
def process_8():
for item in files:
milestones = read.get_milestones(item)
milestones = [(x["due_at"] - x["created_at"]) / (60 * 60 * 24)
for x in milestones if x["due_at"]]
graph.bar_chart(milestones, title="Milestone created before due")
def process_8(): for item in files: milestones = read.get_milestones(item) milestones = [(x["due_at"]-x["created_at"])/(60*60*24) for x in milestones if x["due_at"]] graph.bar_chart(milestones, title="Milestone created before due")
