Build CSV-Connected Web Apps with Axios and CData Connect AI

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to live CSV data and build CSV-connected web apps with Axios.

Axios is a JavaScript library that allows developers to make HTTP requests to servers from a web browser or Node.js. When paired with CData Connect AI, you get access to live CSV data for your web apps. This article shows how to connect to CSV and build web apps in Axios with access to live CSV data.

Connect to CSV from Axios

To work with CSV in Axios, we need to connect to CSV from Connect AI, provide user access to the connection, and create a Workspace for the CSV data.

Connect to CSV from Connect AI

CData Connect AI uses a straightforward, point-and-click interface to connect to data sources.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Adding a Connection
  3. Select "CSV" from the Add Connection panel
  4. Selecting a data source
  5. 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.

    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add CSV Connection page and update the User-based permissions. Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

Configure CSV Endpoints for Axios

After connecting to CSV, create a workspace for your desired table(s).

  1. Navigate to the Workspaces page and click Add to create a new Workspace (or select an existing workspace). The Workspaces page. Adding a new Workspace.
  2. Click Add to add new assets to the Workspace.
  3. Select the CSV connection (e.g. CSV1) and click Next. Selecting an Asset (Salesforce is shown).
  4. Select the table(s) you wish to work with and click Confirm. Selecting Tables (Salesforce is shown).
  5. Make note of the OData Service URL for your workspace, e.g. https://cloud.cdata.com/api/odata/{workspace_name}

With the connection, PAT, and Workspace configured, you are ready to connect to CSV data from Axios.

Connect to CSV Data in Axios Workflows

To establish a connection from Axios to CData Connect AI using the OData protocol, follow these steps.

  1. Create a project directory for your web app. For example: ~/connect_cloud/
  2. Open a terminal, navigate the the project directory and initialize a node project using the command:
    npm init -y
  3. Install the Axios dependency in the project using the following command:
    npm install axios
  4. In your project directory, create a file called server.js that contains the following code. Provide your CData Connect AI username (e.g. [email protected]) and PAT (the PAT you created in the prerequisites). You must also provide a query for your data, such as SELECT * FROM CSV1.SCHEMA.Customer.

    server.js code

          const axios = require('axios')
    
          const user = '[email protected]'
          const pat = '***********************************';
    
          //Your API endpoint
          const url = 'https://cloud.cdata.com/api/odata/{workspace_name}';
    
          //Your data to be sent in the POST request
          const data = {
          "query":"SELECT * FROM {workspace_name}.SCHEMA.Customer"
          };
    
          axios.post(url, data, {
          auth: {
          username: user,
          password: pat
          }
          })
          .then(response => {
          const rows = response.data.results[0].rows;
          const schema = response.data.results[0].schema;
    
          //Create an array of column names
          const columnNames = schema.map(col => col.columnName);
    
          //Loop through each row and log the column name with its value
          rows.forEach(row => {
          const rowObject = {};
          row.forEach((value, index) => {
          const columnName = columnNames[index];
          rowObject[columnName] = value;
          });
          console.log(rowObject);
          })
          })
          .catch(error => {
          console.error('Error:', error);
          });
        
  5. In the terminal, execute the following command to run the server:
    node server.js
    The query results will appear:
        { ID: 1, VALUE: -2 }
        { ID: 2, VALUE: 1 }
        { ID: 11, VALUE: null }
        { ID: 3, VALUE: 2 }
        { ID: 4, VALUE: 5 }
        ...

Simplified Access to CSV Data from Cloud Applications

At this point, you have a direct connection to live CSV data from Axios. For more information on gaining simplified access to data from more than 100 SaaS, Big Data, and NoSQL sources in cloud applications like Axios, refer to our Connect AI page.

Ready to get started?

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