Connection Tool - Programmatically Remove Unused Datasource Connections, and List All Connections
Managing connections within your Sisense environment can become complex over time, if there are a large number of connections, and connections are often added, and replace earlier datasource connections. In some scenarios unused connections can accumulate, potentially cluttering the connection manager UI with no longer relevant connections. Although unused connections typically represent minimal direct security risk, it's considered best practice to maintain a clean, organized list of connections, and in some scenarios it can be desired to remove all unused connections. Sisense prevents the deletion of connections actively used in datasources, safeguarding your dashboards and datasources from disruptions. However, inactive or "orphaned" connections remain after datasources are deleted or a connection is replaced, potentially contributing to unnecessary UI complexity in the connection manager UI. Connections can be of any type Sisense supports, common types include various SQL connections, Excel files, and CSV files, as well as many data providers, such as Big Panda. This tool can also be used to list all connections, with no automatic deletion of unused connections.UserReplaceTool - Automating Dashboard Ownership Transfers - Useful for Deleting User Accounts
Managing and deleting user accounts in Sisense can create manual processes when users leave an organization or change roles. A frequent issue is the reassignment of dashboard ownership to prevent losing Sisense dashboards when a given user account is deleted, as deleting a Sisense user will delete all dashboards owned by that user. The UserReplaceTool addresses this task by automating the transfer of dashboard ownership of all dashboards owned by a given user, ensuring continuity and data integrity. UserReplaceTool is a Python-based, API-based Tool solution designed to seamlessly transfer the ownership of dashboards and data models from one user to another in Sisense. This tool simplifies and automates this process, allowing organizations to reassign dashboard ownership without manual processes or the risk of losing dashboards and widgets. All components are accomplished by using Sisense API endpoint requests.
REST API - Adding Data Level Security
When building code to automate the process of adding users (or groups), it may be beneficial to add security around those users. Follow the steps below to learn how to add data level security through the REST API: Step 1 From your SiSense home page, navigate to the Manage tab and choose the option for REST API. From here, click on the link to the REST API Reference interface. Step 2 From here, choose the 0.9 version and expand the Elasticube section and scroll down to the POST /elasticubes/datasecurity section. Step 3 The sample code below shows a valid JSON object to use as part of the REST API request. Starting from the sample code, replace the value for party with a user identifier that already exists in your system. Then paste the code into the REST API interface and click run. You should see a response of 200, which indicates a successful operation. [{ "server": "LocalHost", "elasticube": "Sample Lead Generation", "table": "Lead Generation", "column": "Country", "datatype": "text", "shares": [{ "party": "5c0f85690ca2f66cc242e266", "type": "user" }], "members": [ "United States", "England" ] }] Notes The server name value is case sensitive, so make sure it matches with your system. The sample provided is specific to one of the sample databases that comes with SiSense. To modify this to a different system, just update necessary fields to include your specifications. The sample provided is an array that consists of a single element. This could be modified to contain several entries all sent at once.Dashboard Dictionary
Use Case My users and designers were looking for an easy way to get insights into how certain dashboards and widgets were built in terms of formulas and filters. Solution For this, I have written a Python script that takes a list of dashboard IDs and converts them to an Excel with 2 worksheets. The first worksheet shows all widgets, while the second shows all dashboard filters. Attached you will find a python-script + a CSV (with dashboardIDs). Replace the dashboardIDs with the IDs of the dashboards that you want to have exported Open the Python script in your favorite IDE and replace the following: base_url --> with your own base url translation_dict --> i use this to translate English to Dutch. Either empty it or replace it with your own language Authorization --> Add your bearer token Run the script The output will be an Excel file that you can import into an Elasticube and create a dashboard with. Ps. In my dashboard I use Paldi's Advanced Filters for easy filtering and Advanced Text Widget for easy-to-style texts. Copied from this post by HamzaJ. Thank you Hamzaj!
