python jira 数据爬取bug和子任务清单
python;gutter:true;">import requestsimport 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="云链-供应链中台-材料域" AND created >= 2020-07-1 AND created <=now() \'
issues=jira.search_issues(\'project="云链-供应链中台-材料域" AND creator=currentUser() order by created DESC\', maxResults=1000)
a=["key","标题","状态","子任务","createtime","项目名","link","优先级",\'version\',\'解决时间\',"对应开发","问题类型","问题报告人"]
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,"陈权"]
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("状态!=\'完成\'")
df_tmp.to_csv("./static_excel_ptt.csv", encoding=\'utf_8_sig\',header=["key","标题","状态","子任务","createtime","项目名","link","优先级",\'version\',\'解决时间\',"对应开发","问题类型","问题报告人"])
return jira
def get_comments_content(issue):
return [comment.body for comment in issue.fields.comment.comments]
if __name__ == \'__main__\':
login_jira("pengtt01","hello")
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