Fully Managed Graph Database
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
neo4j_auradb: {
type: "app",
app: "neo4j_auradb",
}
},
async run({steps, $}) {
const data = {
"statement": `RETURN date() AS currentDate, datetime() AS currentDateTime`,
}
return await axios($, {
method: "post",
url: `${this.neo4j_auradb.$auth.api_url}`,
auth: {
username: `${this.neo4j_auradb.$auth.username}`,
password: `${this.neo4j_auradb.$auth.password}`,
},
data,
})
},
})
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}}