Create Table with Airtable API on New or Removed Documents in a Collection from Fauna API

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New or Removed Documents in a Collection from the Fauna API

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Create Table with the Airtable API

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Getting Started#

This integration creates a workflow with a Fauna trigger and Airtable action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New or Removed Documents in a Collection trigger
1. Configure timer
2. Connect your Fauna account
3. Select a Collection
4. Optional- Configure Emit changes as a single event
Configure the Create Table action
1. Connect your Airtable account
2. Select a Base
3. Configure Name
4. Optional- Configure Description
5. Configure Fields
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New or Removed Documents in a Collection on Fauna

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

Version:0.0.8

Key:faunadb-changes-to-collection

View on GitHub

Fauna Overview#

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.

Trigger Code#

import fauna from "../../faunadb.app.mjs";
import _ from "lodash";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

export default {
  type: "source",
  key: "faunadb-changes-to-collection",
  name: "New or Removed Documents in a Collection",
  description: "Emit new event each time you add or remove a document from a specific collection, with the details of the document.",
  version: "0.0.8",
  dedupe: "unique", // Dedupe events based on the concatenation of event + document ref id
  props: {
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    db: "$.service.db",
    fauna,
    collection: {
      propDefinition: [
        fauna,
        "collections",
      ],
    },
    emitEventsInBatch: {
      type: "boolean",
      label: "Emit changes as a single event",
      description:
        "If `true`, all events are emitted as an array, within a single Pipedream event. Defaults to `false`, emitting each event in Fauna as its own event in Pipedream",
      optional: true,
      default: false,
    },
  },
  async run() {
    // As soon as the script runs, mark the start time so we can fetch changes
    // since this time on the next run. Fauna expects epoch ms as its cursor.
    const ts = +new Date() * 1000;
    const cursor = this.db.get("cursor") || ts;

    const events = await this.fauna.getEventsInCollectionAfterTs(
      this.collection,
      cursor,
    );

    if (!events.length) {
      console.log(`No new events in collection ${this.collection}`);
      this.db.set("cursor", ts);
      return;
    }

    console.log(`${events.length} new events in collection ${this.collection}`);

    // Batched emits do not take advantage of the built-in deduper
    if (this.emitEventsInBatch) {
      this.$emit({
        events,
      }, {
        summary: `${events.length} new event${events.length > 1
          ? "s"
          : ""}`,
        id: cursor,
      });
    } else {
      for (const event of events) {
        this.$emit(event, {
          summary: `${event.action.toUpperCase()} - ${event.document.id}`,
          id: `${event.action}-${event.document.id}`, // dedupes events based on this ID
        });
      }
    }

    // Finally, set cursor for the next run to the max timestamp of the changed events, ensuring we
    // get all events after that on the next run. We need to add 1 since the timestamp filter in
    // Fauna is inclusive: https://docs.fauna.com/fauna/current/api/fql/functions/paginate
    const maxEventTs = _.maxBy(events, (event) => event.ts).ts + 1;

    this.db.set("cursor", maxEventTs);
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
	`timer`	`$.interface.timer`
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Fauna	`fauna`	`app`	This component uses the Fauna app.
Collection	`collection`	`string`	Select a value from the drop down menu.
Emit changes as a single event	`emitEventsInBatch`	`boolean`	If `true`, all events are emitted as an array, within a single Pipedream event. Defaults to `false`, emitting each event in Fauna as its own event in Pipedream

Trigger Authentication#

Fauna uses API keys for authentication. When you connect your Fauna account, Pipedream securely stores the keys so you can easily authenticate to Fauna APIs in both code and no-code steps.

Create a key in the Security section of your FaunaDB dashboard, then enter the Secret below.

About Fauna#

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

Action#

Create Table on Airtable

Description:Create a new table. [See the documentation](https://airtable.com/developers/web/api/create-table)

Version:0.0.7

Key:airtable_oauth-create-table

View on GitHub

Airtable Overview#

Airtable (OAuth) API on Pipedream allows you to manipulate and leverage your Airtable data in a myriad of powerful ways. Sync data between Airtable and other apps, trigger workflows on updates, or process bulk data operations asynchronously. By using Airtable's structured databases with Pipedream's serverless platform, you can craft custom automation solutions, integrate with other services seamlessly, and streamline complex data processes.

Action Code#

import airtable from "../../airtable_oauth.app.mjs";

export default {
  key: "airtable_oauth-create-table",
  name: "Create Table",
  description: "Create a new table. [See the documentation](https://airtable.com/developers/web/api/create-table)",
  version: "0.0.7",
  type: "action",
  props: {
    airtable,
    baseId: {
      propDefinition: [
        airtable,
        "baseId",
      ],
    },
    name: {
      type: "string",
      label: "Name",
      description: "The name for the table",
    },
    description: {
      type: "string",
      label: "Description",
      description: "The description for the table",
      optional: true,
    },
    fields: {
      type: "string[]",
      label: "Fields",
      description: "A list of JSON objects representing the fields in the table. Refer to [field types](https://airtable.com/developers/web/api/model/field-type) for supported field types, the write format for field options, and other specifics for certain field types.",
    },
  },
  async run({ $ }) {
    const fields = [];
    for (const field of this.fields) {
      const fieldObj = typeof field === "object"
        ? field
        : JSON.parse(field);
      fields.push(fieldObj);
    }
    const response = await this.airtable.createTable({
      baseId: this.baseId,
      data: {
        name: this.name,
        description: this.description,
        fields,
      },
      $,
    });

    if (response) {
      $.export("$summary", `Successfully created table with ID ${response.id}.`);
    }

    return response;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Airtable	`airtable`	`app`	This component uses the Airtable app.
Base	`baseId`	`string`	Select a value from the drop down menu.
Name	`name`	`string`	The name for the table
Description	`description`	`string`	The description for the table
Fields	`fields`	`string[]`	A list of JSON objects representing the fields in the table. Refer to field types for supported field types, the write format for field options, and other specifics for certain field types.

Action Authentication#

Airtable uses OAuth authentication. When you connect your Airtable account, Pipedream will open a popup window where you can sign into Airtable and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Airtable API.

Pipedream requests the following authorization scopes when you connect your account:

data.records:readdata.records:writedata.recordComments:readdata.recordComments:writeschema.bases:readschema.bases:writewebhook:manageuser.email:read

About Airtable#

Airtable is a low-code platform to build next-gen apps. Move beyond rigid tools, operationalize your critical data, and reimagine workflows with AI.

More Ways to Connect Airtable + Fauna#

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Pipedream makes it easy to connect APIs for Airtable, Fauna and 2,400+ other apps remarkably fast.

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

Developers ♥ Pipedream

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