Integrate the Fauna API with the Python API

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

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Popular Ways to Connect Fauna with Python#

Run Python Code with Python API on New or Removed Documents in a Collection from Fauna API

Fauna + Python

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Popular Fauna and Python Triggers#

New or Removed Documents in a Collection from the Fauna API

Emit new event each time you add or remove a document from a specific collection, with the details of the document.

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Popular Fauna 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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Execute GraphQL Query with the Fauna API

Performs an arbitrary authorized GraphQL query. See docs here

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Import GraphQL schema with the Fauna API

Import graphQL schema to a database. See docs here

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Read From Fauna Collection with the Fauna API

Reads all documents from a given Fauna collection. See docs here

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Overview of Fauna#

Fauna API offers a powerful serverless database solution for modern applications. Its unique capabilities allow for highly scalable, secure, and flexible data management. With Pipedream, you can harness the power of Fauna to create intricate serverless workflows that react to various triggers, manage data efficiently, and connect seamlessly with other services and APIs to automate complex tasks.

Connect Fauna#

module.exports = defineComponent({
  props: {
    faunadb: {
      type: "app",
      app: "faunadb",
    }
  },
  async run({steps, $}) {
    const faunadb = require('faunadb')
    const q = faunadb.query
    
    const client = new faunadb.Client({ secret: this.faunadb.$auth.secret })
    
    // Lists collections in the database tied to your secret key
    const collectionsPaginator = await client.paginate(q.Collections())
    
    this.collections = []
    await collectionsPaginator.each(page => {
      for (const collection of page) {
        this.collections.push(collection.id)
      }
    })
  },
})

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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