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with InfluxDB Cloud and Python?

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Run Python Code with Python API on New Bucket Created from InfluxDB Cloud API
InfluxDB Cloud + Python
 
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Run Python Code with Python API on New Script Created from InfluxDB Cloud API
InfluxDB Cloud + Python
 
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Run Python Code with Python API on New Task Completed from InfluxDB Cloud API
InfluxDB Cloud + Python
 
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New Bucket Created from the InfluxDB Cloud API

Emit new event when a new bucket is created. See the documentation

 
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New Script Created from the InfluxDB Cloud API

Emit new event when a new script is created. See the documentation

 
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New Task Completed from the InfluxDB Cloud API

Emit new event when a new task is completed. See the documentation

 
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Invoke Script with the InfluxDB Cloud API

Runs a script and returns the result. See the documentation

 
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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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Update Bucket with the InfluxDB Cloud API

Updates an existing bucket in InfluxDB Cloud. See the documentation

 
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Write Data with the InfluxDB Cloud API

Write data to a specific bucket in InfluxDB Cloud. See the documentation

 
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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.

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

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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

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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo