Build GitLab-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 GitLab data for your web apps. This article shows how to connect to GitLab and build web apps in Axios with access to live GitLab data.
Connect to GitLab from Axios
To work with GitLab in Axios, we need to connect to GitLab from Connect AI, provide user access to the connection, and create a Workspace for the GitLab data.
Connect to GitLab 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 "GitLab" from the Add Connection panel
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Enter the necessary authentication properties to connect to GitLab.
To connect to GitLab, use either OAuth or a personal access token:
Using OAuth
Register an OAuth application in GitLab under Edit Profile > Applications (or group Settings > Applications). Set the Redirect URI to https://oauth.cdata.com/oauth/. Note the Application ID (OAuth Client Id) and Secret (shown once). Then set:
- OAuth Client Id: The Application ID from your GitLab OAuth application.
- OAuth Client Secret: The Secret from your GitLab OAuth application.
Click Sign In to complete OAuth authentication.
Using a Personal Access Token
In GitLab, navigate to Edit Profile > Access Tokens > Add new token. Select the required scopes (such as api, read_api, read_user, read_repository) and set an expiration date. Copy the token immediately (shown only once). Then set:
- API Key: The personal access token from your GitLab account.
- Click Save & Test
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Navigate to the Permissions tab in the Add GitLab 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 GitLab Endpoints for Axios
After connecting to GitLab, 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 GitLab connection (e.g. API1) 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 GitLab data from Axios.
Connect to GitLab 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 API1.SCHEMA.AccessRequests.
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.AccessRequests" }; 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 GitLab Data from Cloud Applications
At this point, you have a direct connection to live GitLab 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.