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_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 early_det():
for item in files:
commits = read.get_commits(item)
c_dict = {}
r_dict = {}
for commit in commits:
if commit["user"] not in r_dict:
r_dict[commit["user"]] = []
tt = datetime.fromtimestamp(commit["time"]).strftime('%m/%d')
if tt in c_dict:
c_dict[tt][1].append(commit["user"])
else:
c_dict[tt] = [commit["time"], [commit["user"]]]
c_dict = c_dict.items()
c_dict = sorted(c_dict, key=lambda x:x[1][0])
for x in c_dict:
for u in r_dict.keys():
c = sum([1 for y in x[1][1] if y==u])
r_dict[u].append(c)
graph.multiple_lines(r_dict, "Commits in project "+item, [x[0] for x in c_dict])
def early_det():
for item in files:
commits = read.get_commits(item)
c_dict = {}
r_dict = {}
for commit in commits:
if commit["user"] not in r_dict:
r_dict[commit["user"]] = []
tt = datetime.fromtimestamp(commit["time"]).strftime('%m/%d')
if tt in c_dict:
c_dict[tt][1].append(commit["user"])
else:
c_dict[tt] = [commit["time"], [commit["user"]]]
c_dict = c_dict.items()
c_dict = sorted(c_dict, key=lambda x: x[1][0])
for x in c_dict:
for u in r_dict.keys():
c = sum([1 for y in x[1][1] if y == u])
r_dict[u].append(c)
graph.multiple_lines(r_dict, "Commits in project " + item,
[x[0] for x in c_dict])