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fix(Discovery): Add comprehensive debug logging for router initialization

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- Add initializer count logging in DiscoveryServiceBootstrapper
- Add route structure analysis in RouterSetup
- Add request parameter logging in HttpRouter
- Update PHP production config for better OPcache handling
- Fix various config and error handling improvements
This commit is contained in:
Michael Schiemer
2025-10-27 22:23:18 +01:00
parent e326e3d6c6
commit 70e45fb56e
56 changed files with 1519 additions and 355 deletions
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25
src/Framework/MachineLearning/ModelManagement/MLConfig.php
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@@ -4,6 +4,7 @@ declare(strict_types=1);
namespace App\Framework\MachineLearning\ModelManagement;
use App\Framework\Config\Environment;
use App\Framework\Core\ValueObjects\Duration;
/**
@@ -53,21 +54,19 @@ final readonly class MLConfig
/**
* Create configuration from environment
*/
public static function fromEnvironment(array $env = []): self
public static function fromEnvironment(Environment $env): self
{
$getEnv = fn(string $key, mixed $default = null): mixed => $env[$key] ?? $_ENV[$key] ?? $default;
return new self(
monitoringEnabled: filter_var($getEnv('ML_MONITORING_ENABLED', true), FILTER_VALIDATE_BOOLEAN),
driftThreshold: (float) $getEnv('ML_DRIFT_THRESHOLD', 0.15),
performanceWindow: Duration::fromHours((int) $getEnv('ML_PERFORMANCE_WINDOW_HOURS', 24)),
autoTuningEnabled: filter_var($getEnv('ML_AUTO_TUNING_ENABLED', false), FILTER_VALIDATE_BOOLEAN),
predictionCacheTtl: Duration::fromSeconds((int) $getEnv('ML_PREDICTION_CACHE_TTL', 3600)),
modelCacheTtl: Duration::fromSeconds((int) $getEnv('ML_MODEL_CACHE_TTL', 7200)),
baselineUpdateInterval: Duration::fromSeconds((int) $getEnv('ML_BASELINE_UPDATE_INTERVAL', 86400)),
minPredictionsForDrift: (int) $getEnv('ML_MIN_PREDICTIONS_FOR_DRIFT', 100),
confidenceAlertThreshold: (float) $getEnv('ML_CONFIDENCE_ALERT_THRESHOLD', 0.65),
accuracyAlertThreshold: (float) $getEnv('ML_ACCURACY_ALERT_THRESHOLD', 0.75)
monitoringEnabled: $env->getBool('ML_MONITORING_ENABLED', true),
driftThreshold: $env->getFloat('ML_DRIFT_THRESHOLD', 0.15),
performanceWindow: Duration::fromHours($env->getInt('ML_PERFORMANCE_WINDOW_HOURS', 24)),
autoTuningEnabled: $env->getBool('ML_AUTO_TUNING_ENABLED', false),
predictionCacheTtl: Duration::fromSeconds($env->getInt('ML_PREDICTION_CACHE_TTL', 3600)),
modelCacheTtl: Duration::fromSeconds($env->getInt('ML_MODEL_CACHE_TTL', 7200)),
baselineUpdateInterval: Duration::fromSeconds($env->getInt('ML_BASELINE_UPDATE_INTERVAL', 86400)),
minPredictionsForDrift: $env->getInt('ML_MIN_PREDICTIONS_FOR_DRIFT', 100),
confidenceAlertThreshold: $env->getFloat('ML_CONFIDENCE_ALERT_THRESHOLD', 0.65),
accuracyAlertThreshold: $env->getFloat('ML_ACCURACY_ALERT_THRESHOLD', 0.75)
);
}