with Jira and dbt Cloud?
Retrieve information about an environment. See the documentation
Adds multiple attachments to an issue, 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}`,
},
})
},
})
The dbt Cloud API allows users to initiate jobs, check on their status, and interact with dbt Cloud programmatically. On Pipedream, you can harness this functionality to automate workflows, such as triggering dbt runs, monitoring your data transformation jobs, and integrating dbt Cloud with other data services. By leveraging Pipedream's serverless platform, you can create custom workflows that act on dbt Cloud events or use the dbt Cloud API to manage your data transformation processes seamlessly.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
dbt: {
type: "app",
app: "dbt",
}
},
async run({steps, $}) {
const baseUrl = this.dbt.$auth.access_url || `https://${this.dbt.$auth.region}.com/`
return await axios($, {
url: `${baseUrl}api/v3/accounts/`,
headers: {
"Authorization": `Token ${this.dbt.$auth.api_key}`,
"Accept": `application/json`,
},
})
},
})