import requests
import urllib3
urllib3.disable_warnings()
from jira import JIRA
import pandas as pd
def login_jira(username,password):
jira = JIRA("https://jira.mypaas.com.cn",basic_auth=(username,password))
projects=jira.project(id=10902)
# jql='project="雲鏈-供應鏈中台-材料域" AND created >= 2020-07-1 AND created <=now() '
issues=jira.search_issues('project="雲鏈-供應鏈中台-材料域" AND creator=currentUser() order by created DESC', maxResults=1000)
a=["key","標題","狀態","子任務","createtime","項目名","link","優先級",'version','解決時間',"對應開發","問題類型","問題報告人"]
datas=[]
for index,issue in enumerate(issues):
# b = [issue.key, issue.fields.summary, issue.fields.status, issue.fields.subtasks, issue.fields.created,
# issue.fields.project.name,
# issue.self, issue.fields.priority, issue.fields.description, issue.fields.versions[0].name if len(issue.fields.versions)>0 else None,
# issue.fields.resolutiondate, issue.fields.assignee, issue.fields.issuetype,"陳權"]
b = [issue.key, issue.fields.summary, issue.fields.status, issue.fields.subtasks, issue.fields.created,
issue.fields.project.name,
issue.self, issue.fields.priority, issue.fields.versions[0].name if len(issue.fields.versions)>0 else None,
issue.fields.resolutiondate, issue.fields.assignee, issue.fields.issuetype,"彭甜甜"]
datas.append(b)
print(datas)
df=pd.DataFrame(datas,columns=a)
# pd.DataFrame.from_dict(datas,orient='index',columns=[a])
print(df)
df_tmp=df.query("狀態!='完成'")
df_tmp.to_csv("./static_excel_ptt.csv", encoding='utf_8_sig',header=["key","標題","狀態","子任務","createtime","項目名","link","優先級",'version','解決時間',"對應開發","問題類型","問題報告人"])
return jira
def get_comments_content(issue):
return [comment.body for comment in issue.fields.comment.comments]
if __name__ == '__main__':
login_jira("pengtt01","hello")
