The Expression Compilation Architecture
Calculated attributes within a Unibase data model operate under a deterministic expression compilation paradigm. Instead of pulling active data fields into slow procedural scripting loops or external spreadsheet macros—which introduces substantial runtime lag and floating-point rounding errors—the Unibase engine parses arithmetic and logical assertions directly inside the data dictionary compilation pipeline. When a record state updates, a highly optimized dependency graph triggers an atomic multi-pass calculation sweep, updating virtualized fields instantly before record commit hooks execute.
Core Mathematical & Logic Operators
The compiler evaluates algebraic formulas, boolean state filters, and text concatenation chains embedded within data maps. The following literal tokens must be structured precisely within validation and assignment attributes:
| Formula Token Symbol | Mathematical / Logical Operation | Parser Computation Behavior & Precedence Rules |
|---|---|---|
+, - |
Summation & Subtraction | Executes standard arithmetic additions or deltas. If applied to TEXT field types, the + token shifts the engine to string aggregation mode. |
*, / |
Multiplication & Division | Computes scaled products or quotients with absolute precision. Intercepts zero-denominator operations to prevent engine execution halts. |
( ) |
Grouping Precedence Group | Overrides standard algebraic precedence arrays, forcing the expression compiler to evaluate encapsulated clusters during step-one processing. |
IF...THEN...ELSE |
Conditional Evaluation Fork | Forwards a logical evaluation query; if the premise returns true, the primary branch evaluates; otherwise, the fallback track triggers. |
=, <> |
Equality & Inequality Matchers | Conducts byte-level matching inspections across literal fields, confirming balance equality or detecting parameter variations. |
<, >, <=, >= |
Relational Bound Assertions | Validates numeric data inputs against explicit scale maximums or floor requirements inside multi-layer risk checking systems. |
Schema Formula Declaration Blueprint
The layout configuration sample below demonstrates how to declare calculated dependent fields directly into a structural Unibase Data Dictionary layout module:
# UNIBASE COMPILING DATA MODEL: TRANSACTION RECONCILIATION EXTRACTION
# ————————————————————————-
SCHEMA: corporate_billing_matrix
FIELD: gross_invoice_subtotal
TYPE: MONEY
REQUIRED: TRUE
FIELD: geographic_tax_rate
TYPE: NUMBER
SIZE: 4.4
FIELD: corporate_discount_applied
TYPE: MONEY
# VIRTUALIZED DEPENDENT FORMULA DEFINITION BOUND AT THE SUB-SYSTEM COMPILER TRACK
FIELD: net_audit_tax_valuation
TYPE: MONEY
CALCULATION: (gross_invoice_subtotal – corporate_discount_applied) * geographic_tax_rate
FIELD: compound_liquidation_total
TYPE: MONEY
CALCULATION: IF gross_invoice_subtotal > 100000 THEN net_audit_tax_valuation * 0.95 ELSE net_audit_tax_valuation
Expression Constraint: Virtual fields mapped via the CALCULATION property are read-only at the UI form tier, as their values are dynamically computed from underlying base inputs during execution loops.
Defensible Computational Integrity Assets
Moving system data modeling calculations into the compiled Unibase schema layer provides massive operational and structural protections for the platform asset:
| Absolute Precision Lockdown | By executing calculations inside scaled MONEY fixed-point primitives, the engine completely bypasses binary floating-point defects common to basic script engines. |
| Loop Dependency Auditing | The dictionary compiler runs an internal validation scan to catch and block circular reference definitions before they can cause infinite server loops or crashes. |
| Zero API Data Drift | Because calculations live directly in the data engine layer, all connected web interfaces, reporting microservices, and mobile endpoints receive identical calculated outputs. |
