Conditional Collection Skipping with Laravel's skipWhile Method
Last updated on by Harris Raftopoulos
Laravel's skipWhile method provides conditional filtering that skips collection items while a given condition remains true, then includes all remaining items once the condition fails.
The method evaluates each item sequentially, discarding items until the callback returns false:
$numbers = collect([5, 10, 15, 20, 25, 5, 10]); $filtered = $numbers->skipWhile(function ($value) { return $value < 20;});
Once the condition fails for any item, that item and all subsequent items are preserved regardless of whether they would satisfy the original condition.
$scores = collect([45, 55, 65, 75, 85, 40, 90]); $passingGrades = $scores->skipWhile(fn($score) => $score < 70);
Here's a comprehensive data processing system demonstrating various skipWhile applications:
class DataAnalysisService{ public function processServerMetrics(Collection $metrics) { $criticalPeriod = $metrics->skipWhile(function ($metric) { return $metric['cpu_usage'] < 80 && $metric['memory_usage'] < 85; }); return $criticalPeriod->map(function ($metric) { return [ 'timestamp' => $metric['timestamp'], 'cpu_usage' => $metric['cpu_usage'], 'memory_usage' => $metric['memory_usage'], 'alert_level' => $this->calculateAlertLevel($metric), 'recommended_action' => $this->getRecommendedAction($metric) ]; }); } public function analyzeUserBehavior(Collection $sessionData) { $engagementStart = $sessionData->skipWhile(function ($event) { return in_array($event['action'], ['page_load', 'initial_scroll']) && $event['duration'] < 3; }); $meaningfulInteractions = $engagementStart->filter(function ($event) { return !in_array($event['action'], ['idle', 'background']); }); return [ 'engagement_start_time' => $engagementStart->first()['timestamp'] ?? null, 'total_meaningful_actions' => $meaningfulInteractions->count(), 'interaction_types' => $meaningfulInteractions->pluck('action')->unique()->values(), 'average_action_duration' => $meaningfulInteractions->avg('duration') ]; } public function processFinancialTransactions(Collection $transactions) { $significantActivity = $transactions->skipWhile(function ($transaction) { return abs($transaction['amount']) < 1000 && $transaction['type'] !== 'transfer'; }); $analysisResults = [ 'first_significant_transaction' => $significantActivity->first(), 'total_volume' => $significantActivity->sum('amount'), 'transaction_count' => $significantActivity->count(), 'risk_indicators' => $this->identifyRiskPatterns($significantActivity) ]; return $analysisResults; } public function extractRelevantLogEntries(Collection $logEntries, string $incidentStart) { $incidentLogs = $logEntries->skipWhile(function ($entry) use ($incidentStart) { return $entry['timestamp'] < $incidentStart || $entry['level'] === 'debug'; }); $categorizedLogs = $incidentLogs->groupBy('level'); return [ 'error_count' => $categorizedLogs->get('error', collect())->count(), 'warning_count' => $categorizedLogs->get('warning', collect())->count(), 'critical_errors' => $categorizedLogs->get('error', collect()) ->filter(fn($log) => str_contains($log['message'], 'CRITICAL')) ->values(), 'timeline' => $incidentLogs->take(50)->values() ]; } public function processInventoryMovements(Collection $movements) { $stockCriticalPeriod = $movements->skipWhile(function ($movement) { return $movement['quantity_after'] > 100 && $movement['movement_type'] !== 'emergency_restock'; }); $restockingAnalysis = $stockCriticalPeriod ->filter(fn($movement) => $movement['movement_type'] === 'restock') ->map(function ($restock) { return [ 'product_id' => $restock['product_id'], 'restock_quantity' => $restock['quantity_change'], 'time_to_restock' => $this->calculateRestockTime($restock), 'supplier' => $restock['supplier_name'] ]; }); return [ 'critical_period_start' => $stockCriticalPeriod->first()['timestamp'] ?? null, 'low_stock_duration' => $this->calculateDuration($stockCriticalPeriod), 'restock_events' => $restockingAnalysis->values(), 'average_restock_time' => $restockingAnalysis->avg('time_to_restock') ]; } public function analyzeSalesPerformance(Collection $salesData) { $growthPeriod = $salesData->skipWhile(function ($sale) { return $sale['daily_revenue'] <= $sale['previous_day_revenue'] || $sale['growth_rate'] < 0.05; }); if ($growthPeriod->isEmpty()) { return ['status' => 'no_growth_period_found']; } $performanceMetrics = $growthPeriod->map(function ($day) { return [ 'date' => $day['date'], 'revenue' => $day['daily_revenue'], 'growth_rate' => $day['growth_rate'], 'customer_acquisition' => $day['new_customers'], 'conversion_rate' => $day['conversion_rate'] ]; }); return [ 'growth_start_date' => $growthPeriod->first()['date'], 'peak_revenue_day' => $performanceMetrics->sortByDesc('revenue')->first(), 'average_growth_rate' => $performanceMetrics->avg('growth_rate'), 'total_new_customers' => $performanceMetrics->sum('customer_acquisition'), 'growth_consistency' => $this->calculateGrowthConsistency($performanceMetrics) ]; } private function calculateAlertLevel($metric) { if ($metric['cpu_usage'] > 95 || $metric['memory_usage'] > 95) { return 'critical'; } if ($metric['cpu_usage'] > 85 || $metric['memory_usage'] > 90) { return 'high'; } return 'medium'; } private function getRecommendedAction($metric) { return match($this->calculateAlertLevel($metric)) { 'critical' => 'Immediate intervention required', 'high' => 'Scale resources or optimize processes', 'medium' => 'Monitor closely', default => 'Continue monitoring' }; } private function identifyRiskPatterns($transactions) { $patterns = []; if ($transactions->where('amount', '>', 10000)->count() > 3) { $patterns[] = 'high_value_concentration'; } if ($transactions->where('type', 'international')->count() > 5) { $patterns[] = 'unusual_international_activity'; } return $patterns; }}
The skipWhile method excels at identifying transition points in sequential data, making it ideal for time-series analysis, threshold detection, and state-based filtering operations.