with TimescaleDB and Python?
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
import { Pool } from 'pg'; //required by sequelize
import { Sequelize } from "sequelize";
export default defineComponent({
props: {
timescaledb: {
type: "app",
app: "timescaledb",
}
},
async run({steps, $}) {
//Creating object with connection to TimescaleDB instance
const sequelize = new Sequelize({
dialect: 'postgres',
protocol: 'postgres',
host: this.timescaledb.$auth.host,
port: this.timescaledb.$auth.port,
username: this.timescaledb.$auth.user,
password: this.timescaledb.$auth.password,
database: this.timescaledb.$auth.database,
dialectOptions: {
ssl: {
require: true,
rejectUnauthorized: this.timescaledb.$auth.ssl_verification_mode === 'verify_identity'
}
}
})
// Test the connection and return the result
try {
await sequelize.authenticate()
const queryInterface = sequelize.getQueryInterface();
const [results, metadata] = await queryInterface.sequelize.query('SELECT 1+1 AS result');
return results;
} catch (error) {
throw new Error(`Unable to connect to the database: ${error}`)
} finally {
await sequelize.close()
}
},
})
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}}