Build Google Cloud Storage-Connected Web Apps with Axios and CData Connect AI
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 Google Cloud Storage data for your web apps. This article shows how to connect to Google Cloud Storage and build web apps in Axios with access to live Google Cloud Storage data.
Connect to Google Cloud Storage from Axios
To work with Google Cloud Storage in Axios, we need to connect to Google Cloud Storage from Connect AI, provide user access to the connection, and create a Workspace for the Google Cloud Storage data.
Connect to Google Cloud Storage from Connect AI
CData Connect AI uses a straightforward, point-and-click interface to connect to data sources.
- Log into Connect AI, click Sources, and then click Add Connection
- Select "Google Cloud Storage" from the Add Connection panel
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Enter the necessary authentication properties to connect to Google Cloud Storage.
Authenticate with a User Account
You can connect without setting any connection properties for your user credentials. After setting InitiateOAuth to GETANDREFRESH, you are ready to connect.
When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth process completes
Authenticate with a Service Account
Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes.
You need to create an OAuth application in this flow. See the Help documentation for more information. After setting the following connection properties, you are ready to connect:
- InitiateOAuth: Set this to GETANDREFRESH.
- OAuthJWTCertType: Set this to "PFXFILE".
- OAuthJWTCert: Set this to the path to the .p12 file you generated.
- OAuthJWTCertPassword: Set this to the password of the .p12 file.
- OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
- OAuthJWTIssuer: In the service accounts section, click Manage Service Accounts and set this field to the email address displayed in the service account Id field.
- OAuthJWTSubject: Set this to your enterprise Id if your subject type is set to "enterprise" or your app user Id if your subject type is set to "user".
- ProjectId: Set this to the Id of the project you want to connect to.
The OAuth flow for a service account then completes.
- Click Save & Test
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Navigate to the Permissions tab in the Add Google Cloud Storage Connection page and update the User-based 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.
- Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
- On the Settings page, go to the Access Tokens section and click Create PAT.
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Give the PAT a name and click Create.
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
Configure Google Cloud Storage Endpoints for Axios
After connecting to Google Cloud Storage, create a workspace for your desired table(s).
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Navigate to the Workspaces page and click Add to create a new Workspace (or select an existing workspace).
- Click Add to add new assets to the Workspace.
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Select the Google Cloud Storage connection (e.g. GoogleCloudStorage1) and click Next.
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Select the table(s) you wish to work with and click Confirm.
- 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 Google Cloud Storage data from Axios.
Connect to Google Cloud Storage Data in Axios Workflows
To establish a connection from Axios to CData Connect AI using the OData protocol, follow these steps.
- Create a project directory for your web app. For example: ~/connect_cloud/
- Open a terminal, navigate the the project directory and initialize a node project using the command:
npm init -y
- Install the Axios dependency in the project using the following command:
npm install axios
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 GoogleCloudStorage1.SCHEMA.Buckets.
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.Buckets" }; 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); });- 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 Google Cloud Storage Data from Cloud Applications
At this point, you have a direct connection to live Google Cloud Storage 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.