Tools to improve working with the python jira API.
Project description
jira power tools
A collection of tools to make it easier to work with the Python Jira API.
Usages
Lazy Pagination of Jira Issues
If you are querying a lot of jira issues. Paginating the results can lighten the memory usage on the Jira server. But needing to keep track of the pagination is painful. Using lazy pagination gives you an iterable that can track pagination for you:
import jirapt
jira = # jira server instance.
jql = "JQL query"
issues = jirapt.search_issues(jira, jql, ...) # you can include any parameters you might pass to search_issues.
for issue in issues:
# perform work on issue
Note: You gather results in parallel by specifying n_threads=N
. This will gather all the results
before starting iteration. So there will be a delay before the first iteration starts and all the
results will need to fit into memory.
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