azaharizaman / nexus-metric-engine
Deterministic Layer 1 metric calculation engine for Nexus packages.
Package info
github.com/azaharizaman/nexus-metric-engine
pkg:composer/azaharizaman/nexus-metric-engine
Requires
- php: ^8.3
Requires (Dev)
- phpunit/phpunit: ^11.0
This package is auto-updated.
Last update: 2026-05-06 06:05:46 UTC
README
Deterministic Layer 1 metric calculation engine for Nexus packages.
Nexus\MetricEngine evaluates prepared scalar and time-series inputs against neutral formula definitions. It does not fetch data, persist state, render reports, or attach domain meaning to metrics.
Installation
composer require azaharizaman/nexus-metric-engine
Requirements
- PHP 8.3 or newer
Basic Usage
<?php declare(strict_types=1); use Nexus\MetricEngine\Enums\AggregationType; use Nexus\MetricEngine\Services\ComparisonService; use Nexus\MetricEngine\Services\FormulaEvaluatorService; use Nexus\MetricEngine\Services\NumericValueService; use Nexus\MetricEngine\Services\PeriodComparatorService; use Nexus\MetricEngine\Services\ScalarMetricCalculatorService; use Nexus\MetricEngine\Services\TimeSeriesMetricCalculatorService; use Nexus\MetricEngine\Services\WindowResolverService; use Nexus\MetricEngine\ValueObjects\FormulaDefinition; use Nexus\MetricEngine\ValueObjects\MetricInput; use Nexus\MetricEngine\ValueObjects\PrecisionPolicy; $numeric = new NumericValueService(); $evaluator = new FormulaEvaluatorService( new ScalarMetricCalculatorService($numeric), new TimeSeriesMetricCalculatorService( $numeric, new WindowResolverService(new PeriodComparatorService()), new ComparisonService($numeric) ) ); $formula = new FormulaDefinition( identifier: 'example.ratio', operation: AggregationType::RATIO, operands: ['actual', 'target'], precisionPolicy: new PrecisionPolicy(2) ); $result = $evaluator->evaluate($formula, [ 'actual' => new MetricInput('actual', 75), 'target' => new MetricInput('target', 100), ]); $result->value(); // 0.75
Supported Calculations
Scalar primitives:
sumavgminmaxcountratiodeltaabsolute_deltapct_changeweighted_avgweighted_score
Time-series primitives:
rolling_sumrolling_avgperiod_compare
Failure Semantics
MetricEngine fails loudly with package-specific exceptions for invalid formula structure, missing inputs, incompatible input types, invalid numeric values, divide-by-zero operations, invalid windows, and insufficient time-series data.
It does not return fallback values or synthetic zeros unless a caller-defined formula explicitly models that behavior.
Batch Evaluation
Use FormulaCatalog and BatchFormulaEvaluatorService when an application needs status-aware metric runs.
$catalog = new FormulaCatalog([ new FormulaDefinition('metric.delta', AggregationType::DELTA, ['revenue', 'cost'], PrecisionPolicy::default()), new FormulaDefinition('metric.ratio', AggregationType::RATIO, [new FormulaReference('metric.delta'), 'revenue'], PrecisionPolicy::default()), ]); $batch = $batchEvaluator->evaluate($catalog, [ 'revenue' => new MetricInput('revenue', 100), 'cost' => new MetricInput('cost', 60), ]); $batch->get('metric.ratio')->status; // MetricResultStatus::AVAILABLE
The batch evaluator also accepts a formula list directly:
$batch = $batchEvaluator->evaluate([ new FormulaDefinition('metric.total', AggregationType::SUM, ['revenue', 'cost'], PrecisionPolicy::default()), ], [ 'revenue' => new MetricInput('revenue', 100), 'cost' => new MetricInput('cost', 60), ]);
Enable audit traces when callers need deterministic calculation evidence. Traces include original operands, resolved operands, used input values, dependency results, status, result values, and failure details when present.
$batch = $batchEvaluator->evaluate( $catalog, [ 'revenue' => new MetricInput('revenue', 100), 'cost' => new MetricInput('cost', 60), ], MetricEvaluationOptions::withAuditTrace() ); $batch->get('metric.ratio')->auditTrace?->resolvedOperands; // [40.0, 100]
Fingerprints
MetricRunFingerprintService returns stable hashes for reproducible runs. The hash is based on canonical serialized formulas, prepared inputs, caller metadata, and the formula dependency graph.
$fingerprint = $fingerprintService->fingerprint($catalog, [ 'revenue' => new MetricInput('revenue', 100), 'cost' => new MetricInput('cost', 60), ]); $fingerprint->algorithm; // sha256
Boundaries
MetricEngine is framework-agnostic. Laravel service providers belong in Laravel adapters or applications.
MetricEngine supports neutral units and precision policies, but currency-specific rules and money value objects belong in finance or accounting packages.
Development
composer install ./vendor/bin/phpunit composer validate --strict