Continuous integration and delivery platform
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Trigger a pipeline given a pipeline definition ID. Supports all integrations except GitLab. See the documentation
The CircleCI API allows for seamless integration and automation of your CI/CD pipeline. By leveraging the API through Pipedream, you can trigger builds, monitor the status of pipelines, fetch build artifacts, and interact with various aspects of your CircleCI projects. This facilitates the creation of dynamic workflows that can streamline development practices, enhance deployment strategies, and ensure continuous integration processes are more efficient and less error-prone.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
circleci: {
type: "app",
app: "circleci",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://circleci.com/api/v1.1/me`,
params: {
"circle-token": `${this.circleci.$auth.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}}