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Advanced Datasource Settings

The Advanced settings panel sits in the middle of the datasource editor and controls how a data source behaves and is managed, rather than how it connects to its source.

Refresh scheduling and caching have their own page — see Refresh and caching.

Datasource Assignment Settings​

Teams​

In the Team management modal you can assign teams to manage and see the datasource.

Please note

This option is only available if the customer has at least one team available.

Datasource Activation Management​

Prevent auto-deactivation​

By default, Wallboard automatically deactivates data sources that have not been used by any device for an extended period (see Auto-deactivation for the exact trigger). Enable the Prevent auto-deactivation toggle to keep the data source active regardless of inactivity — useful for seasonal, on-call, or critical data sources that should always be ready even when not currently played.

note

This toggle only disables usage-based deactivation. To also prevent error-based deactivation (25 consecutive refresh failures), enable Ignore error counter as well.

Ignore error counter​

Continue operation even if errors occur during data fetching. This prevents error-based deactivation, which otherwise disables a data source after 25 consecutive refresh failures.

Request settings​

  • HTTP method: Selects HTTP request type (GET, POST, PUT, PATCH, DELETE)
  • Basic auth:
    • Enable basic auth: Enables basic authentication by username/password
    • Username: Authentication username
    • Password: Authentication password (hidden)
  • Custom header: Adds custom HTTP headers (API keys, Bearer tokens, etc.)

Datasource Manipulation Settings​

Editable from display​

This feature allows users to update or input data directly from the display device, enabling real-time interaction and manual triggering of data source actions.

  • It's especially useful for collecting information from individuals interacting with the content.
  • Recommended for self-kiosk contents, surveys or even showcases with source changing datasource actions

Transformations — Process and filter data​

Process and filter data applies filters, modifications or processing steps to the data after it is fetched — to extract specific fields, filter results, or reshape the data before it is displayed. Use Add another process and filter step to chain several; they run in order, from top to bottom.

Run condition — When to apply​

  • Every update (always): the step runs each time the datasource updates.
  • Only when data is different: the step runs only when the source data has changed.

Shuffle lists (randomize arrays)​

Randomizes the order of items in a list. Which arrays to randomize takes a JSONata selector naming the array — for example .items or .data.products — and more than one can be given. The data is then randomized automatically wherever the datasource is used.

Filter and select data (query JSON)​

Transforms the data with a query. Data filter/query accepts JSONata or similar syntax to select, filter or modify fields — for example $.items[].name extracts every name field from an items array.

tip

The query field can write itself: select Generate the query with AI. The datasource must already hold data — with none, the option reads Add data to the datasource first to generate a query with AI.

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