Create Google Cloud Storage-Connected Applications in Appsmith
Appsmith is an open-source internal tool builder that allows teams to quickly and easily build a UI to help improve their business operations. When combined with CData Connect AI, you gain immediate access to Google Cloud Storage data for business applications. This article outlines the process of connecting to Google Cloud Storage using Connect AI and creating a basic application from Google Cloud Storage data within Appsmith.
CData Connect AI offers a pure SQL Server, cloud-to-cloud interface for Google Cloud Storage, enabling the creation of business applications directly from live Google Cloud Storage data within Appsmith, all without the need for data replication to a native database. As you build applications, Appsmith generates SQL queries to gather data. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported SQL operations, including filters and JOINs, directly to Google Cloud Storage. This leverages server-side processing to swiftly deliver the requested Google Cloud Storage data.
Configure Google Cloud Storage Connectivity for Appsmith
Connectivity to Google Cloud Storage from Appsmith is made possible through CData Connect AI. To work with Google Cloud Storage data from Appsmith, we start by creating and configuring a Google Cloud Storage connection.
- 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.
With the connection configured and a PAT generated, we are ready to connect to Google Cloud Storage data from Appsmith.
Create an Appsmith Application from live Google Cloud Storage Data
To establish a connection from Appsmith to the CData Connect AI Virtual SQL Server, follow these steps:
Connect to Google Cloud Storage in Appsmith
- Log in to your Appsmith instance and create a new application.
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In the new application, open the Data page and select Bring your data.
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On this page, you can search for Microsoft SQL Server and select it as your data source.
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Enter a name for the new data source and then enter the following connection settings:
- Host address: tds.cdata.com
- Port: 14333
- Database name: enter the Connection Name of the CData Connect AI data source you want to connect to (for example, GoogleCloudStorage1).
- Username: enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
- Password: enter the PAT you previously generated.
- Click Test configuration to confirm a successful connection, then click Save to save the datasource.
Create a new query
With a connection configured to a datasource, we can add a SQL query to actually retrieve data from the data source.
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On the screen with the new data source, click New Query.
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This opens the Query Editor to enter a SQL query to select data. To assist with specifying a SQL query, use the Explorer of CData Connect AI to preview the SQL queries and the data you want to retrieve.
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After creating the SQL query, return to the Query Editor in Appsmith and enter the SQL query, then click Run.
- Once the query successfully runs, all that remains is to set up the Page to display the data retrieved.
Display Google Cloud Storage data
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Open the UI tab and click New UI element.
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Choose a new UI element to grab, then drag and place the element on the page.
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Click Connect data on the new UI element, then select the query previously created.
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With the data connected, it is then displayed in the UI element.
Deploy the application
With the Google Cloud Storage data connected to the UI elements in the application, we can deploy the Application. To do this, click Deploy in the top-right corner of Appsmith, then the application is opened in a separate window displaying the Google Cloud Storage data.
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