Reputation: 499
Im' try to create a periodic task that close a print and launch the next.
What I'm planning to do is to find the current Sprint ("state":"ACTIVE") and update its state to ("state":"CLOSED") and take the next Sprint and update it from FUTURE to ACTIVE in a bi-weekly basis.
I can see in the library that we can not update the state of a sprint (this part is commented by default):
def update_sprint(self, id, name=None, startDate=None, endDate=None):
payload = {}
if name:
payload['name'] = name
if startDate:
payload['startDate'] = startDate
if endDate:
payload['startDate'] = endDate
# if state:
# payload['state']=state
url = self._get_url('sprint/%s' % id, base=self.AGILE_BASE_URL)
r = self._session.put(
url, data=json.dumps(payload))
return json_loads(r)
My questions is:
Is there a reason for this?
How can I perform this operation in another way ?
Thanks!
Update
I raised a bug and it has been fixed: https://github.com/pycontribs/jira/issues/123
Hope this will help
Upvotes: 3
Views: 1602
Reputation: 5730
after login to Jira
self.jira = JIRA(server='server', basic_auth=(self.jira_user, self.jira_apikey))
you can update sprint by providing all sprint data :
response = self.jira.update_sprint(id=294, name='name', state='active', startDate=datetime(2023, 6, 24).isoformat(), endDate=datetime(2023, 7, 15).isoformat())
so to change the status simply change the 'state' value
Upvotes: 0
Reputation: 16
I'm not really sure how you are updating your values but the way I have been updating values is:
issue.update(status={'name': 'Closed'})
Source: http://pythonhosted.org/jira/
Upvotes: -1