InfluxDB Cloud

Focus on building software with an easy-to-use, scalable, serverless time series platform available on AWS, Azure, and Google Cloud.

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.

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.

 
Try it

Overview of InfluxDB Cloud

The InfluxDB Cloud API allows you to build a variety of applications that
interact with InfluxDB. Some examples of what you can build include:

  • A web interface for InfluxDB
  • A monitoring tool for InfluxDB
  • A tool to visualize InfluxDB data
  • An InfluxDB iOS or Android app

Connect InfluxDB Cloud

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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

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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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}}