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URL: https://www.cdata.com/kb/tech/csv-odata-gsheets-apps-script.rst

⇱ Extend Google Sheets with CSV Data


Extend Google Sheets with CSV Data

πŸ‘ Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Make calls to CSV from Google Apps Script via the API Server.

Interact with CSV data from Google Sheets through macros, custom functions, and add-ons. The CData API Server enables connectivity to CSV data from cloud-based and mobile applications like Google Sheets. The API Server is a lightweight Web application that produces OData services for CSV.

Google Apps Script can consume these OData services in the JSON format. This article shows how to create a simple add-on that populates a Google Spreadsheet with Customer data.

Set Up the API Server

If you have not already done so, download the CData API Server. Once you have installed the API Server, follow the steps below to begin producing secure CSV OData services:

Connect to CSV

To work with CSV data from Google Sheets, we start by creating and configuring a CSV connection. Follow the steps below to configure the API Server to connect to CSV data:

  1. First, navigate to the Connections page.
  2. Click Add Connection and then search for and select the CSV connection. πŸ‘ Selecting a data source (SQLite is shown)
  3. Enter the necessary authentication properties to connect to CSV.

    Connecting to Local or Cloud-Stored (Box, Google Drive, Amazon S3, SharePoint) CSV Files

    CData Drivers let you work with CSV files stored locally and stored in cloud storage services like Box, Amazon S3, Google Drive, or SharePoint, right where they are.

    Setting connection properties for local files

    Set the URI property to local folder path.

    Setting connection properties for files stored in Amazon S3

    To connect to CSV file(s) within Amazon S3, set the URI property to the URI of the Bucket and Folder where the intended CSV files exist. In addition, at least set these properties:

    • AWSAccessKey: AWS Access Key (username)
    • AWSSecretKey: AWS Secret Key

    Setting connection properties for files stored in Box

    To connect to CSV file(s) within Box, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Box.

    Dropbox

    To connect to CSV file(s) within Dropbox, set the URI proprerty to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Dropbox. Either User Account or Service Account can be used to authenticate.

    SharePoint Online (SOAP)

    To connect to CSV file(s) within SharePoint with SOAP Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. Set User, Password, and StorageBaseURL.

    SharePoint Online REST

    To connect to CSV file(s) within SharePoint with REST Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. StorageBaseURL is optional. If not set, the driver will use the root drive. OAuth is used to authenticate.

    Google Drive

    To connect to CSV file(s) within Google Drive, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect and set InitiateOAuth to GETANDREFRESH.

    πŸ‘ Connecting to a datasource (SQLite is shown)
  4. After configuring the connection, click Save & Test to confirm a successful connection.

Configure API Server Users

Next, create a user to access your CSV data through the API Server. You can add and configure users on the Users page. Follow the steps below to configure and create a user:

  1. On the Users page, click Add User to open the Add User dialog.
  2. Next, set the Role, Username, and Privileges properties and then click Add User. πŸ‘ Configure a new user
  3. An Authtoken is then generated for the user. You can find the Authtoken and other information for each user on the Users page: πŸ‘ API Server user settings

Creating API Endpoints for CSV

Having created a user, you are ready to create API endpoints for the CSV tables:

  1. First, navigate to the API page and then click Add Table . πŸ‘ Add tables
  2. Select the connection you wish to access and click Next. πŸ‘ Select the connection (SQLite is shown)
  3. With the connection selected, create endpoints by selecting each table and then clicking Confirm. πŸ‘ Adding tables from the connection (SQLite is shown)

Gather the OData Url

Having configured a connection to CSV data, created a user, and added resources to the API Server, you now have an easily accessible REST API based on the OData protocol for those resources. From the API page in API Server, you can view and copy the API Endpoints for the API:

πŸ‘ API Endpoints

Retrieve CSV Data

Open the Script Editor from your spreadsheet by clicking Tools -> Script Editor. In the Script Editor, add the following function to populate a spreadsheet with the results of an OData query:

function retrieve(){
 var url = "https://MyUrl/api.rsc/Customer?select=Id,City,TotalDue,FirstName";
 var response = UrlFetchApp.fetch(url,{
 headers: {"Authorization": "Basic " + Utilities.base64Encode("MyUser:MyAuthtoken")}
 }); 
 var json = response.getContentText();
 var sheet = SpreadsheetApp.getActiveSheet();
 var a1 = sheet.getRange('a1');
 var index=1;
 var customer = JSON.parse(json).value;

 var cols = [["Id","City","TotalDue","FirstName"]]; 
 sheet.getRange(1,1,1,4).setValues(cols);

 row=2;
 for(var i in customer){
 for (var j in customer[i]) {
 switch (j) {
 case "Id":
 a1.offset(row,0).setValue(account[i][j]);
 break;
 case "City":
 a1.offset(row,1).setValue(account[i][j]);
 break;
 case "TotalDue":
 a1.offset(row,2).setValue(account[i][j]);
 break;
 case "FirstName":
 a1.offset(row,3).setValue(account[i][j]);
 break;
 } 
 }
 row++;
 }
}

Follow the steps below to add an installable trigger to populate the spreadsheet when opened:

  1. Click Resources -> Current Project's Triggers -> Add a New Trigger.
  2. Select retrieve in the Run menu.
  3. Select From Spreadsheet.
  4. Select On open.

After closing the dialog, you are prompted to allow access to the application.

You can test the script by clicking Publish -> Test as Add-On. Select the version, installation type, and spreadsheet to create a test configuration. You can then select and run the test configuration.