Data model

​

Attribute types

The Data Model supports the following attribute types:

• STRING
• NUMBER
• CURRENCY
• BOOLEAN
• OBJECT
• ARRAY
  • ARRAY OF STRINGS
  • ARRAY OF NUMBERS
  • ARRAY OF BOOLEANS
  • ARRAY OF OBJECTS
  • ARRAY OF ENUMS
• ENUM
• DATE

​

Currency attribute

Currencies are managed using an object structure that ensures accurate representation and localization.

• Currency Object Structure:
  • Includes amount (numerical value) and code (ISO 4217 currency code, e.g., USD, EUR).
  • Example:
    Copy

    Ask AI

    {
      "amount": 12000.78,
      "code": "USD"
    }
    

• Regional Formatting:
  • Currency values adapt to regional conventions for grouping, decimals, and symbol placement. For instance:
    • en-US (United States): $12,000.78 (symbol before the value, comma for grouping, dot for decimals).
    • ro-RO (Romania): 12.000,78 RON (dot for grouping, comma for decimals, code appended).
• Fallback Behavior: If the code is null, the system defaults to the locale’s predefined currency settings.
• UI Integration:
  • Currency input fields dynamically format values based on locale settings and save the amount and code into the data store.
  • Sliders and other components follow the same behavior, formatting values and labels according to the locale.

​

Date attribute

Dates are represented in ISO 8601 format and dynamically formatted based on locale and application settings.

• Locale-Specific Date Formats: FlowX dynamically applies regional date formatting rules based on the locale. For instance:
  • en-US (United States): MM/DD/YYYY → 09/28/2024
  • fr-FR (France): DD/MM/YYYY → 28/09/2024
• Customizable Formats: You can choose from predefined formats (e.g., short, medium, long, full) or define custom formats at both application and UI Designer levels.
• Timezone Handling:
  • Standard Date: Adjusts to the current timezone.
  • Date Agnostic: Ignores time zones, using GMT for consistent representation.
• ISO 8601 Compliance: Ensures compatibility with international standards.

​

Number attribute

The Number attribute type supports two subtypes: integers and floating point numbers, providing flexibility to represent whole numbers or decimal values as required.

• Subtypes
  • Integer: Represents whole numbers without any fractional or decimal part.
    • Example: 1, 42, 1000
  • Floating Point: Represents numbers with a decimal point, enabling precise storage and representation of fractional values.
    • Example: 3.14, 0.01, -123.456
• Locale-Specific Formatting:
  • Numbers adapt to regional conventions for decimal separators and digit grouping. For example:
    • en-US (United States): 1,234.56 (comma for grouping, dot for decimals)
    • de-DE (Germany): 1.234,56 (dot for grouping, comma for decimals)
    • fr-FR (France): 1 234,56 (space for grouping, comma for decimals)
• Precision Settings:
  • Minimum Decimals: Ensures a minimum number of decimal places are displayed, adding trailing zeros if necessary.
  • Maximum Decimals: Limits the number of decimal places stored, rounding values to the defined precision.

• Validation:
  • Enforce range constraints (e.g., minimum and maximum values).
  • Input fields automatically apply formatting masks to prevent invalid data entry.

​

Creatinga a data model

In the Data Model, you can add new key-pair values, allowing seamless integration with the UI Designer. This functionality enables quick shortcuts for adding new keys without switching between menus

Example:

​

Data model reference

The “View References” feature allows you to see where specific attributes are used within the data model. This includes:

• Process Keys: Lists all process keys linked to an attribute.
• UI Elements: Displays references such as the element label, node name, and UI Element key.

​

Sensitive data

Protect sensitive information by flagging specific keys in the data model. This ensures data is hidden from process details and browser console outputs.

​

Reporting

The Use in Reporting tag allows you to designate keys for use in the reporting plugin, enabling efficient tracking and analysis.