← FaunaDB + Google Sheets integrations

Add Multiple Rows with Google Sheets API on New or Removed Documents in a Collection from FaunaDB API

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New or Removed Documents in a Collection from the FaunaDB API
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Add Multiple Rows with the Google Sheets API
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Getting Started

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

  1. Select this integration
  2. Configure the New or Removed Documents in a Collection trigger
    1. Configure timer
    2. Connect your FaunaDB account
    3. Select a Collection
    4. Optional- Configure Emit changes as a single event
  3. Configure the Add Multiple Rows action
    1. Connect your Google Sheets account
    2. Optional- Select a Drive
    3. Select a Spreadsheet
    4. Select a Sheet Name
    5. Configure Row Values
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, open source 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

Description:Emit new event each time you add or remove a document from a specific collection, with the details of the document.
Version:0.0.7
Key:faunadb-changes-to-collection

Trigger Code

import fauna from "../../faunadb.app.mjs";
import _ from "lodash";

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: "0.0.7",
  dedupe: "unique", // Dedupe events based on the concatenation of event + document ref id
  props: {
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: 5 * 60,
      },
    },
    db: "$.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.
LabelPropTypeDescription
timer$.interface.timer
N/Adb$.service.dbThis component uses $.service.db to maintain state between component invocations.
FaunaDBfaunaappThis component uses the FaunaDB app.
CollectioncollectionstringSelect a value from the drop down menu.
Emit changes as a single eventemitEventsInBatchboolean

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

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

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

Read more about Keys and Fauna Security.

About FaunaDB

The database built for serverless, featuring native GraphQL

Action

Description:Add multiple rows of data to a Google Sheet
Version:0.1.5
Key:google_sheets-add-multiple-rows

Google Sheets Overview

Some examples of things you can build using the Google Sheets API include:

  • A web app that lets users input data into a Google Sheet
  • A script that automatically updates a Google Sheet with data from another
    source
  • A tool that generates graphs and charts from data in a Google Sheet
  • A service that sends data from a Google Sheet to another API or application

Action Code

import googleSheets from "../../google_sheets.app.mjs";

export default {
  key: "google_sheets-add-multiple-rows",
  name: "Add Multiple Rows",
  description: "Add multiple rows of data to a Google Sheet",
  version: "0.1.5",
  type: "action",
  props: {
    googleSheets,
    drive: {
      propDefinition: [
        googleSheets,
        "watchedDrive",
      ],
    },
    sheetId: {
      propDefinition: [
        googleSheets,
        "sheetID",
        (c) => ({
          driveId: googleSheets.methods.getDriveId(c.drive),
        }),
      ],
    },
    sheetName: {
      propDefinition: [
        googleSheets,
        "sheetName",
        (c) => ({
          sheetId: c.sheetId,
        }),
      ],
    },
    rows: {
      propDefinition: [
        googleSheets,
        "rows",
      ],
    },
  },
  async run() {
    let rows = this.rows;

    let inputValidated = true;

    if (!Array.isArray(rows)) {
      rows = JSON.parse(this.rows);
    }

    if (!rows || !rows.length || !Array.isArray(rows)) {
      inputValidated = false;
    } else {
      rows.forEach((row) => { if (!Array.isArray(row)) { inputValidated = false; } });
    }

    // Throw an error if input validation failed
    if (!inputValidated) {
      console.error("Data Submitted:");
      console.error(rows);
      throw new Error("Rows data is not an array of arrays. Please enter an array of arrays in the `Rows` parameter above. If you're trying to send a single rows to Google Sheets, search for the action to add a single row to Sheets or try modifying the code for this step.");
    }

    return await this.googleSheets.addRowsToSheet({
      spreadsheetId: this.sheetId,
      range: this.sheetName,
      rows,
    });
  },
};

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.

LabelPropTypeDescription
Google SheetsgoogleSheetsappThis component uses the Google Sheets app.
DrivedrivestringSelect a value from the drop down menu.
SpreadsheetsheetIdstringSelect a value from the drop down menu.
Sheet NamesheetNamestringSelect a value from the drop down menu.
Row Valuesrowsstring

Provide an array of arrays. Each nested array should represent a row, with each element of the nested array representing a cell/column value (e.g., passing [["Foo",1,2],["Bar",3,4]] will insert two rows of data with three columns each). The most common pattern is to reference an array of arrays exported by a previous step (e.g., {{steps.foo.$return_value}}). You may also enter or construct a string that will JSON.parse() to an array of arrays.

Action Authentication

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

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

emailprofilehttps://www.googleapis.com/auth/drive

About Google Sheets

With Google Sheets, you can create, edit, and collaborate wherever you are

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