Gitlab-批量操作

Gitlab-批量操作

利用gitlab-api批量操作

#!/opt/python3/bin/python3
import gitlab
import time
import os
import sys
import pandas as pd
import requests
import json

repo_url = "http://192.168.8.1:8090"
token = "xxxxxxxxxxx"

headers={
    "PRIVATE-TOKEN" : token
}

session=requests.Session()

df1 = pd.DataFrame(columns=['pid','url','uid','uname','role'])

gl = gitlab.Gitlab(repo_url, private_token=token)
projects = gl.projects.list(all=True)    ## 获取所有project
for p in projects:
#    print(p.id)
#    if p.id==370:
        url=repo_url+"/api/v4/projects/"+str(p.id)+"/members"    ## 获取project下所有member
        resp=session.get(url,headers=headers)
        j_member=json.loads(resp.text)
        df_member=pd.json_normalize(j_member)
        for i in range(len(df_member)):
           df1 = df1.append({'pid':p.id,'url':p.http_url_to_repo,'uid':df_member.iloc[i]['id'],'uname':df_member.iloc[i]['username'],'role':df_member.iloc[i]['access_level']}, ignore_index=True)

print (df1)
df1.to_csv('project_member.csv',index = False)    ## 导出csv

#for i in range(len(df1)):
#    if df1.iloc[i]['uname']=="maiqixian":
#        url=repo_url+"/api/v4/projects/"+str(df1.iloc[i]['pid'])+"/members/"+str(df1.iloc[i]['uid'])    ## 按条件更新member的access_level
#        print(url)
#        data={"access_level":30}
#        resp=session.put(url,headers=headers,data=data)
#        print(resp)