with Neon Postgres and Python?
Emit new event when a new column is added to a table. See the documentation
Emit new event when a row is added or modified. See the documentation
Emit new event when a new row is added to a table. See the documentation
Emit new event when new rows are returned from a custom query that you provide. See the documentation
Emit new event when a new table is added to the database. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Finds a row in a table via a lookup column. See the documentation
Finds a row in a table via a custom query. See the documentation
import { axios } from "@pipedream/platform";
import { neon } from "@neondatabase/serverless";
export default defineComponent({
  props: {
    neon_postgres: {
      type: "app",
      app: "neon_postgres",
    }
  },
  async run({ steps, $ }) {
    const { host, port, user, password, database } = this.neon_postgres.$auth
    const connectionString = `postgresql://${user}:${password}@${host}:${port}/${database}`  
    
    const sql = neon(connectionString)
    const result = await sql`SELECT version()`
    const { version } = result[0]
    return version
  },
})
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}}