Exemple #1
0
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
Exemple #2
0
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")
Exemple #3
0
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
Exemple #4
0
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")
Exemple #5
0
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")
Exemple #6
0
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")