Jira is the #1 agile project management tool used by teams to plan, track, release, and support great software with confidence
Emit new event when an event with subscribed event source triggered, See the docs
Emit new event when an issue is created. Note that Jira supports only one webhook, if more sources are needed please use New Event
source and select multiple events.
Emit new event when an issue is deleted. Note that Jira supports only one webhook, if more sources are needed please use New Event
source and select multiple events.
Emit new event when an issue is updated. Note that Jira supports only one webhook, if more sources are needed please use New Event
source and select multiple events.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Adds multiple attachments to an issue, See the docs
Adds a user as a watcher of an issue by passing the account ID of the user, For example, 5b10ac8d82e05b22cc7d4ef5
, If no user is specified the calling user is added. See the docs
The Jira API opens up a world of possibilities for automating project management tasks, syncing with other tools, and enhancing data visibility. With Pipedream's integration, you can streamline issue tracking by automatically creating, updating, and searching for issues in Jira, as well as managing projects, sprints, users, and more. This integration not only saves time but also ensures real-time data flow across various platforms, keeping teams in sync and projects on track.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
jira: {
type: "app",
app: "jira",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.atlassian.com/me`,
headers: {
Authorization: `Bearer ${this.jira.$auth.oauth_access_token}`,
},
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}