gitCodeAnalyzer/main.py at main · derdilla/gitCodeAnalyzer · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
import git
import shutil
import os
import matplotlib.pyplot as plt
from datetime import datetime
import matplotlib.dates as mdates
import pickle
import numpy as np


def analyze(repo_url, tmp_folder, file_extension):
    # Clone the Git repository to the /tmp folder
    repo = git.Repo.clone_from(repo_url, tmp_folder)

    data = []
    for commit in repo.iter_commits():
        print(f"Commit: {commit.hexsha}")

        # Checkout the commit to get the files at that time
        repo.git.checkout(commit.hexsha, force=True)

        # Get the contents of files with the specified extension
        all_lines = 0
        test_lines = 0
        non_test_lines = 0
        empty_comment_lines_in_test = 0
        empty_comment_lines_in_code = 0
        import_lines_in_code = 0
        for root, dirs, files in os.walk(tmp_folder):
            for file in files:
                if file.endswith(file_extension):
                    file_path = os.path.join(root, file)
                    with open(file_path, 'r', encoding='utf-8') as file_content:
                        content = file_content.read()
                        lines = content.splitlines()
                        all_lines += len(lines)
                        if 'test' in file_path.lower():
                            test_lines += len(lines)
                            empty_comment_lines_in_test += sum(1 for line in lines if line.strip() == '' or line.strip().startswith('//'))
                        else:
                            non_test_lines += len(lines)
                            empty_comment_lines_in_code += sum(1 for line in lines if line.strip() == '' or line.strip().startswith('//'))
                            import_lines_in_code += sum(1 for line in lines if line.strip().startswith('import'))

        data.append((commit.committed_date, all_lines, test_lines, non_test_lines, empty_comment_lines_in_test, empty_comment_lines_in_code, import_lines_in_code))

    # Delete the cloned repository folder
    shutil.rmtree(tmp_folder)

    return data


# noinspection PyTypeChecker
def generate_line_chart(data, smooth=True, smooth_window_size=4):
    timestamps, line_counts, test_lines, non_test_lines, empty_comment_lines_in_test, empty_comment_lines_in_code, import_lines_in_code = zip(*data)

    productive_lines = [a - b - c - d for a, b, c, d in zip(line_counts, test_lines, empty_comment_lines_in_code, import_lines_in_code)]

    dates = [datetime.fromtimestamp(ts) for ts in timestamps]

    if smooth:
        def moving_average(data, window_size):
            return np.convolve(data, np.ones(window_size)/window_size, mode='valid')

        line_counts = moving_average(line_counts, smooth_window_size)
        productive_lines = moving_average(productive_lines, smooth_window_size)
        test_lines = moving_average(test_lines, smooth_window_size)
        empty_comment_lines_in_test = moving_average(empty_comment_lines_in_test, smooth_window_size)
        dates = dates[:len(line_counts)]

    plt.plot(dates, line_counts, marker=None, linestyle='-', color='b', label='Total lines')
    plt.plot(dates, productive_lines, marker=None, linestyle='-', color='g', label='Productive lines')
    plt.plot(dates, test_lines, marker=None, linestyle='-', color='#00f8ff', label='Test lines')
    plt.plot(dates, empty_comment_lines_in_test, marker=None, linestyle='-', color='#00bdff', label='Empty or documentation lines')

    plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%b-%d'))
    plt.gcf().autofmt_xdate()
    plt.xlabel('Timestamp')
    plt.ylabel('Line count')
    plt.title('Dart line count over time')
    plt.legend()
    plt.grid(True)
    plt.savefig('line_chart.svg')
    plt.show()


def serialize_to_file(data, filename):
    try:
        if os.path.exists(filename):
            os.remove(filename)

        with open(filename, 'wb') as file:
            pickle.dump(data, file)
        print(f'Serialization successful. Data saved to {filename}')
    except (pickle.PickleError, IOError) as e:
        print(f'Error during serialization: {e}')


def deserialize_from_file(filename):
    try:
        with open(filename, 'rb') as file:
            data = pickle.load(file)
        print(f'Deserialization successful. Data loaded from {filename}')
        return data
    except (pickle.PickleError, IOError, FileNotFoundError) as e:
        print(f'Error during deserialization: {e}')
        return None


def main():
    try:
        shutil.rmtree('./tmp')
    except:
        pass

    data = analyze('https://github.com/NobodyForNothing/blood-pressure-monitor-fl', './tmp', '.dart')
    serialize_to_file(data, 'lines_cache.pk1')

    # data = deserialize_from_file('lines_cache.pk1')

    generate_line_chart(data, smooth=False)


if __name__ == '__main__':
    main()