Foglight 7.1.0 - Dashboard Support Guide

To access this dashboard, on the Development Tools page, click Module Validation. From there, start by selecting one or more modules or sub-modules in the Module Selector on the navigation panel.

Figure 1. Module Validation

To validate a module:

On the Development Tools page, click Module Validation.

The Module Validation dashboard appears in the display area.

On the navigation panel, expand a node in the Module Selector.

A list of sub-modules appears.


	IMPORTANT: The type and collection of available modules depend on the range of installed cartridges.


	TIP: Selecting a sub-module in the tree allows you to narrow down the statistics for a specific set of views in a module.

In the Module Selector, select all modules and sub-modules that you want to validate.

The Module Validation dashboard refreshes, showing the views defined in the selected modules.

Observe the module validation statistics.

For each selected module or sub-module, the top table shows the validation state (Normal

, Warning

, or Fatal

), and the number of error, warning, or informational messages associated with that component.

View detailed validation results for a specific module or sub-module.

In the top table, click a row containing a module or sub-module.

On the Module Validation dashboard, the Validation Details table refreshes, listing the individual module entities against which one or more validation messages are generated.

Observe the Validation Details table.

For each entity, the table shows its type, name, and the numbers of error, warning, and informational messages.

Review an entity’s error, warning, or informational messages by clicking the related columns.

A dialog box appears, listing the messages of the selected type that are associated with the entity.

Use this information to improve module definitions as you develop.

To return to the Development Tools page, click Development Tools in the breadcrumb trail.

Validating Data Sources

A data source contains information that is displayed in Foglight®. This information is stored in data objects as object properties. A data source encapsulates all the system knows about the collected data. It is organized as a dynamic graph of object types, starting from a root that represents the entire data model. The Data Source Validation dashboard allows you to select a data source and check if that data source has a root, and that the root type has properties defined. Detecting and solving data source problems early on can prevent problems in the browser interface. If any errors are found on the data source, they appear in the list. For each error, the list shows its type and the error description. The overall data source validation result also appears on the dashboard. Use this information to improve data source definitions as you develop. Warning messages usually appear for information purposes only, to indicate a non-fatal conditions. Unlike fatal messages, they do not prevent the data source from being validated.