Integrate the InfluxDB Cloud API with the Python API

Setup the InfluxDB Cloud API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate InfluxDB Cloud and Python remarkably fast. Free for developers.

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Popular InfluxDB Cloud and Python Actions#

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Overview of InfluxDB Cloud#

Harness the power of InfluxDB Cloud API on Pipedream to build robust data workflows. InfluxDB Cloud, a time-series database, is ideal for managing high-velocity data and extracting insights in real-time. On Pipedream, you can easily trigger workflows based on InfluxDB data, automate data ingestion, and connect with countless other services to analyze, visualize, and act upon your data.

Connect InfluxDB Cloud#

import { InfluxDB } from '@influxdata/influxdb-client';
import { HealthAPI } from '@influxdata/influxdb-client-apis';

export default defineComponent({
  props: {
    influxdb_cloud: {
      type: "app",
      app: "influxdb_cloud",
    }
  },
  async run({steps, $}) {
    // See the Node.js client docs at
    // https://github.com/influxdata/influxdb-client-js
    const influxDB = new InfluxDB(this.influxdb_cloud.$auth.url);
    const healthAPI = new HealthAPI(influxDB)
    
    // Execute a health check to test our credentials
    return await healthAPI.getHealth()
  },
})

Overview of Python#

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:

Connect Python#

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}}

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