-
Notifications
You must be signed in to change notification settings - Fork 38
/
activity.py
192 lines (150 loc) · 8.1 KB
/
activity.py
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
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
from ..libs import query
from ..libs import helpers
import pandas as pd
import numpy as np
import click
import math
def analyse_repo(owner,repository,config):
"""查询 Repo 数据"""
# 定义空白数组
commitArray = []
pullRequestArray = []
# 添加一个可过滤掉的数据，确保后续执行完成
commitArray.append({
'author' : 'localhost',
'date': '未标注时间',
"times":1
})
pullRequestArray.append({
'date': '未标注时间',
"times":1
})
# 定义查询变量
start_time=config["time"]["start_time"]
end_time=config["time"]["end_time"]
top_number=int(config["rank"]["top"])
click.echo("初次抓取数据:%s/%s" % (owner,repository))
# 进行初次查询
all_query = query.all_query % (owner, repository)
result = helpers.query(all_query,config)
# 生成时间 Series
date_range = pd.date_range(start=start_time,end=end_time,freq="W")
date_series = pd.Series(np.zeros((len(date_range),), dtype=int),index=date_range)
# 处理第一组数据
if (helpers.has_result(result,"commit")):
for commit in result["data"]["repository"]["ref"]["target"]["history"]["edges"]:
helpers.add_item_to_commit_array(commit,commitArray)
pass
if (helpers.has_result(result,"pr")):
for pullRequest in result["data"]["repository"]["pullRequests"]["nodes"]:
helpers.add_item_to_pr_array(pullRequest,pullRequestArray)
while helpers.has_next_page(result,"commit") or helpers.has_next_page(result,"issue") or helpers.has_next_page(result,"pr"):
click.echo("继续抓取数据:%s/%s" % (owner,repository));
if (helpers.has_result(result,"commit")):
for commit in result["data"]["repository"]["ref"]["target"]["history"]["edges"]:
helpers.add_item_to_commit_array(commit,commitArray)
pass
if (helpers.has_result(result,"pr")):
for pullRequest in result["data"]["repository"]["pullRequests"]["nodes"]:
helpers.add_item_to_pr_array(pullRequest,pullRequestArray)
if (helpers.has_next_page(result,"pr") and helpers.has_next_page(result,"commit")):
next_query = query.all_query_with_pager % (owner,repository,helpers.get_page_cursor(result,"pr"),helpers.get_page_cursor(result,"commit"))
elif (helpers.has_next_page(result,"pr")):
next_query = query.pr_query_with_pager % (owner,repository,helpers.get_page_cursor(result,"pr"))
elif (helpers.has_next_page(result,"commit")):
next_query = query.commit_query_with_pager % (owner,repository,helpers.get_page_cursor(result,"commit"))
result = helpers.query(next_query,config)
print("分析 PR")
pr_frame = pd.DataFrame(pullRequestArray);
if not pr_frame.empty:
pr_frame = pr_frame[pr_frame.date != "未标注时间"]
pr_frame["date"] = pd.to_datetime(pr_frame['date'])
pr_dstList = pr_frame.set_index('date').resample('W')['times'].sum()
pr_dstList = pr_dstList.loc[start_time:end_time]
print("分析 commit")
commit_frame = pd.DataFrame(commitArray);
# commit_frame.to_pickle("output/commits.pkl")
commit_frame = commit_frame[commit_frame.date != "未标注时间"]
commit_frame["date"] = pd.to_datetime(commit_frame['date'])
commit_dstList = commit_frame.set_index('date').resample('W')['times'].sum()
commit_dstList = commit_dstList.loc[start_time:end_time]
print("分析 Contributor")
contributor_frame = pd.DataFrame(commitArray);
contributor_frame = contributor_frame[contributor_frame.date != "未标注时间"]
contributor_frame["date"] = pd.to_datetime(contributor_frame['date'])
contributor_dstList = contributor_frame.drop_duplicates(subset=["author"]).set_index('date').resample('W')['times'].sum()
contributor_dstList = contributor_dstList.loc[start_time:end_time]
new_commit_series = pd.Series(np.zeros((len(date_range),), dtype=int),index=date_range)
for item in commit_dstList.index:
if item in date_series.index:
new_commit_series[item] = commit_dstList[item]
new_pr_series = pd.Series(np.zeros((len(date_range),), dtype=int),index=date_range)
for item in pr_dstList.index:
if item in date_series.index:
new_pr_series[item] = pr_dstList[item]
new_contributor_series = pd.Series(np.zeros((len(date_range),), dtype=int),index=date_range)
for item in contributor_dstList.index:
if item in date_series.index:
new_contributor_series[item] = contributor_dstList[item]
# 构成新的 DataFrame
new_df = pd.DataFrame({
"contributor":new_contributor_series.values,
"commit":new_commit_series.values,
"pr":new_pr_series.values
},index = date_range)
# 计算活跃分数
new_df["score"] = new_df.apply(lambda row: math.sqrt(row.pr*row.pr + row.contributor * row.contributor + row.commit*row.commit), axis=1)
# 求活跃分数平均值
target_score = new_df["score"].sum() / len(new_df)
# 获取平均分实例，用于后续排序
instance = helpers.get_avarage_instance()
# 将项目的活跃分数保存到新的 Pickle 中，用于后续的折线图输出
helpers.series_to_pickle(new_df,repository)
# 对平均分实例进行排序
helpers.set_avarage(instance,owner,repository,target_score)
# 输出项目的 CSV 数据
helpers.export_csv(new_df,"%s" % repository)
# 生成折线图
helpers.generate_line_number(start_time,end_time,top_number)
click.echo("输出成功,%s 旗下的 %s 项目的活跃分数为 %.15f"% (owner,repository,target_score))
click.echo("排行榜及折线图请查看 result 目录")
def analyse_organ(organization,config):
repositoryArray = []
click.echo("开始抓取组织数据:%s" % organization)
all_query = query.organ_all_query % organization
result = helpers.query(all_query,config)
if (helpers.has_result(result,'repository')):
for repo in result["data"]["organization"]["repositories"]["nodes"]:
if repo['stargazers']["totalCount"] > 100:
repositoryArray.append({"owner":organization,"repository":repo["name"]})
while(helpers.has_next_page(result,'repository')):
click.echo("继续抓取组织数据: %s" % organization)
if (helpers.has_result(result,'repository')):
for repo in result["data"]["organization"]["repositories"]["nodes"]:
if repo['stargazers']["totalCount"] > 100:
repositoryArray.append({"owner":organization,"repository":repo["name"]})
click.echo("继续抓取组织数据:%s" % organization)
next_query = query.organ_all_query_with_pager % (organization,helpers.get_page_cursor(result,"repository"))
result = helpers.query(next_query,config)
for item in repositoryArray:
analyse_repo(item["owner"],item["repository"],config)
def analyse_user(user,config):
repositoryArray = []
click.echo("开始抓取用户数据:%s" % user)
all_query = query.user_all_query % user
result = helpers.query(all_query,config)
if (helpers.has_result(result,'user_repository')):
for repo in result["data"]["user"]["repositories"]["nodes"]:
if repo['stargazers']["totalCount"] > 100:
repositoryArray.append({"owner":user,"repository":repo["name"]})
while(helpers.has_next_page(result,'user_repository')):
click.echo("继续抓取组织数据: %s" % organization)
if (helpers.has_result(result,'user_repository')):
for repo in result["data"]["user"]["repositories"]["nodes"]:
if repo['stargazers']["totalCount"] > 100:
repositoryArray.append({"owner":user,"repository":repo["name"]})
click.echo("继续抓取用户数据:%s" % user)
next_query = query.organ_all_query_with_pager % (organization,helpers.get_page_cursor(result,"user_repository"))
result = helpers.query(next_query,config)
for item in repositoryArray:
analyse_repo(item["owner"],item["repository"],config)