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_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 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])
def process_7():
for item in files:
commits = read.get_commits(item)
users = [x["user"] for x in commits]
users = Counter(users)
graph.pie_chart(users, "Project " + item)
def process_7(): for item in files: commits = read.get_commits(item) users = [x["user"] for x in commits] users = Counter(users) graph.pie_chart(users, "Project "+item)
