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.
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go 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}`,
},
})
},
})
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}