def count_stats(): issue = 0 commit = 0 comment = 0 milestone = 0 for item in files: print item issue_data = read.get_issues(item) issue += len(issue_data.keys()) print "ISSUE: " + str(len(issue_data.keys())) milestone_data = read.get_milestones(item) milestone += len(milestone_data) print "milestone: " + str(len(milestone_data)) comment_data = read.get_comments(item) comment += len(comment_data) print "comment: " + str(len(comment_data)) commit_data = read.get_commits(item) commit += len(commit_data) print "commit: " + str(len(commit_data)) print print "Total" print "ISSUE: " + str(issue) print "commit: " + str(commit) print "comment: " + str(comment) print "milestone: " + str(milestone) print
def count_stats():
issue = 0
commit = 0
comment = 0
milestone = 0
for item in files:
print item
issue_data = read.get_issues(item)
issue += len(issue_data.keys())
print "ISSUE: " + str(len(issue_data.keys()))
milestone_data = read.get_milestones(item)
milestone += len(milestone_data)
print "milestone: " + str(len(milestone_data))
comment_data = read.get_comments(item)
comment += len(comment_data)
print "comment: " + str(len(comment_data))
commit_data = read.get_commits(item)
commit += len(commit_data)
print "commit: " + str(len(commit_data))
print
print "Total"
print "ISSUE: " + str(issue)
print "commit: " + str(commit)
print "comment: " + str(comment)
print "milestone: " + str(milestone)
print
def process_2():
neg_full = {}
for item in files:
milestones = read.get_milestones(item)
milestones = {x["name"]:x["closed_at"] for x in milestones if x["closed_at"] }
issue_data = read.get_issues(item)
issue_diffs = []
for issue in issue_data.keys():
ist = max(issue_data[issue], key=lambda item:item['when'])
if ist["milestone"] in milestones.keys():
issue_diffs.append((milestones[ist["milestone"]] - ist["when"]) / (60*60))
pos_diff = [x for x in issue_diffs if x>0]
data = {"Less than an hour": sum([1 for x in pos_diff if x>=0 and x<1]),
"2 to 5 hours": sum([1 for x in pos_diff if x>=1 and x<5]),
"5 to 10 hours": sum([1 for x in pos_diff if x>=5 and x<10]),
"10 hours": sum([1 for x in pos_diff if x>=10])
}
pos_diff_per = len(pos_diff)*100/len(issue_diffs)
graph.pie_chart(data, str(pos_diff_per)+"\% for project "+item)
neg_diff = [-x for x in issue_diffs if x<0]
data = {"Less than an hour": sum([1 for x in neg_diff if x>=0 and x<1]),
"2 to 5 hours": sum([1 for x in neg_diff if x>=1 and x<5]),
"5 to 10 hours": sum([1 for x in neg_diff if x>=5 and x<10]),
"10 hours": sum([1 for x in neg_diff if x>=10])
}
neg_diff_per = len(neg_diff)*100/len(issue_diffs)
graph.pie_chart(data, str(neg_diff_per)+"\% for project "+item)
neg_full["Project "+item] = neg_diff_per
graph.pie_chart(neg_full, "Closed after milestone")
def process_3():
for item in files:
issue_data = read.get_issues(item)
users = [
max(issue_data[issue], key=lambda item: item['when'])["user"]
for issue in issue_data.keys()
]
users = Counter(users)
graph.pie_chart(users, "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_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_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_11():
issues = {}
for item in files:
time_diff = []
issue_data = read.get_issues(item)
for issue in issue_data.keys():
time_diff.append(max([x["when"] for x in issue_data[issue]]))
time_diff = sorted(time_diff)
tdd = []
prev = 0
for x in time_diff:
if prev == 0:
prev = x
continue
diff = (x - prev) / (60 * 60)
prev = x
tdd.append(diff)
issues["Project " + item] = sorted(tdd)
graph.multiple_lines(issues, "Issue time gap")
def process_11():
issues = {}
for item in files:
time_diff = []
issue_data = read.get_issues(item)
for issue in issue_data.keys():
time_diff.append(max([x["when"] for x in issue_data[issue]]))
time_diff = sorted(time_diff)
tdd = []
prev = 0
for x in time_diff:
if prev == 0:
prev = x
continue
diff = (x - prev)/(60*60)
prev = x
tdd.append(diff)
issues["Project "+item] = sorted(tdd)
graph.multiple_lines(issues, "Issue time gap")
def process_1():
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*24)
if t == 0:
continue
time_diff.append(t)
issues[item] = time_diff
data = {"Less than a day": sum([1 for x in time_diff if x>=0 and x<1]),
"2 to 5 days": sum([1 for x in time_diff if x>=1 and x<5]),
"5 to 10 days": sum([1 for x in time_diff if x>=5 and x<10]),
"10 days": sum([1 for x in time_diff if x>=10])
}
graph.pie_chart(data, "Issue open time of project "+item)
graph.multiple_lines([issues[x] for x in issues.keys()])
def process_4():
for item in files:
issue_data = read.get_issues(item)
comments = read.get_comments(item)
user_dict = {}
for comment in comments:
if comment["issue"]:
if comment["issue"] in user_dict.keys():
user_dict[comment["issue"]] += 1
else:
user_dict[comment["issue"]] = 1
user_dict = user_dict.values()
print "Project " + item
print "Total issues: " + str(len(issue_data))
print "Commented issues: " + str(len(user_dict))
print "Mean: " + str(np.mean(user_dict))
print "Std: " + str(np.std(user_dict))
print "Min: " + str(min(user_dict))
print "Max: " + str(max(user_dict))
print
def process_4():
for item in files:
issue_data = read.get_issues(item)
comments = read.get_comments(item)
user_dict = {}
for comment in comments:
if comment["issue"]:
if comment["issue"] in user_dict.keys():
user_dict[comment["issue"]] += 1
else:
user_dict[comment["issue"]] = 1
user_dict = user_dict.values()
print "Project " + item
print "Total issues: " + str(len(issue_data))
print "Commented issues: " + str(len(user_dict))
print "Mean: " + str(np.mean(user_dict))
print "Std: " + str(np.std(user_dict))
print "Min: " + str(min(user_dict))
print "Max: " + str(max(user_dict))
print
def process_1():
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 * 24)
if t == 0:
continue
time_diff.append(t)
issues[item] = time_diff
data = {
"Less than a day": sum([1 for x in time_diff if x >= 0 and x < 1]),
"2 to 5 days": sum([1 for x in time_diff if x >= 1 and x < 5]),
"5 to 10 days": sum([1 for x in time_diff if x >= 5 and x < 10]),
"10 days": sum([1 for x in time_diff if x >= 10])
}
graph.pie_chart(data, "Issue open time of project " + item)
graph.multiple_lines([issues[x] for x in issues.keys()])
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_2():
neg_full = {}
for item in files:
milestones = read.get_milestones(item)
milestones = {
x["name"]: x["closed_at"]
for x in milestones if x["closed_at"]
}
issue_data = read.get_issues(item)
issue_diffs = []
for issue in issue_data.keys():
ist = max(issue_data[issue], key=lambda item: item['when'])
if ist["milestone"] in milestones.keys():
issue_diffs.append(
(milestones[ist["milestone"]] - ist["when"]) / (60 * 60))
pos_diff = [x for x in issue_diffs if x > 0]
data = {
"Less than an hour":
sum([1 for x in pos_diff if x >= 0 and x < 1]),
"2 to 5 hours": sum([1 for x in pos_diff if x >= 1 and x < 5]),
"5 to 10 hours": sum([1 for x in pos_diff if x >= 5 and x < 10]),
"10 hours": sum([1 for x in pos_diff if x >= 10])
}
pos_diff_per = len(pos_diff) * 100 / len(issue_diffs)
graph.pie_chart(data, str(pos_diff_per) + "\% for project " + item)
neg_diff = [-x for x in issue_diffs if x < 0]
data = {
"Less than an hour":
sum([1 for x in neg_diff if x >= 0 and x < 1]),
"2 to 5 hours": sum([1 for x in neg_diff if x >= 1 and x < 5]),
"5 to 10 hours": sum([1 for x in neg_diff if x >= 5 and x < 10]),
"10 hours": sum([1 for x in neg_diff if x >= 10])
}
neg_diff_per = len(neg_diff) * 100 / len(issue_diffs)
graph.pie_chart(data, str(neg_diff_per) + "\% for project " + item)
neg_full["Project " + item] = neg_diff_per
graph.pie_chart(neg_full, "Closed after milestone")
def process_3(): for item in files: issue_data = read.get_issues(item) users = [max(issue_data[issue], key=lambda item:item['when'])["user"] for issue in issue_data.keys()] users = Counter(users) graph.pie_chart(users, "Project "+item)
