with GitLab and Python?
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Create a new branch in the repository. See the documentation
Creates a new epic. See the documentation
Creates a new issue. See the documentation
Gets a single issue from repository. See the documentation
The GitLab API provides programmatic access to your GitLab projects, allowing you to automate common tasks, manage issues, merge requests, and more. With the GitLab API on Pipedream, you can create customized workflows that integrate with other services, streamline your development process, and enhance project management. By leveraging the power of serverless, you can set up triggers for GitLab events and perform actions across a variety of apps without managing infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
gitlab: {
type: "app",
app: "gitlab",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.gitlab.$auth.base_api_url}/api/v4/user`,
headers: {
Authorization: `Bearer ${this.gitlab.$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}}