Fauna

The distributed serverless database combining the flexibility of NoSQL with the relational querying capabilities of SQL systems.

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.

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

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

 
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Connect Fauna

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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

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}}