refactor: extract 6 prediction signals into Signal classes

The 803-line NationalFuelPredictionService had six private compute*Signal
methods, a private linearRegression helper, and a private disabledSignal
shape factory all crammed together. Each signal is now an independently
testable class.

- App\Services\Prediction\Signals\Signal — interface
- App\Services\Prediction\Signals\SignalContext — input value object
  (FuelType + optional lat/lng + hasCoordinates() helper)
- App\Services\Prediction\Signals\AbstractSignal — shared
  disabledSignal() and linearRegression() helpers
- TrendSignal, DayOfWeekSignal, BrandBehaviourSignal, StickinessSignal,
  RegionalMomentumSignal, OilSignal — one class each, extending
  AbstractSignal

NationalFuelPredictionService receives the 6 signal classes via constructor
injection and orchestrates them. The lat/lng null-guard for regional
momentum now lives inside RegionalMomentumSignal::compute() so the
coordinator no longer branches on coordinate presence.

Aggregation, weekly summary, and reasoning helpers stay in the service
for now — they are coupled to the public predict() output shape and are
candidates for a follow-up extraction once a stable API is locked in.

Service: 803 → 414 lines.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Ovidiu U
2026-04-29 19:43:28 +01:00
parent e39618f5df
commit 27c82ef103
10 changed files with 530 additions and 420 deletions

View File

@@ -0,0 +1,83 @@
<?php
namespace App\Services\Prediction\Signals;
use Illuminate\Support\Facades\DB;
final class DayOfWeekSignal extends AbstractSignal
{
private const int MIN_DAYS = 21;
public function compute(SignalContext $context): array
{
$isSqlite = DB::connection()->getDriverName() === 'sqlite';
$dowExpr = $isSqlite
? "(CAST(strftime('%w', price_effective_at) AS INTEGER) + 1)"
: 'DAYOFWEEK(price_effective_at)';
$rows = DB::table('station_prices')
->where('fuel_type', $context->fuelType->value)
->where('price_effective_at', '>=', now()->subDays(90))
->selectRaw("{$dowExpr} as dow, DATE(price_effective_at) as day, AVG(price_pence) as avg_price")
->groupBy('dow', 'day')
->get();
$uniqueDays = $rows->pluck('day')->unique()->count();
if ($uniqueDays < self::MIN_DAYS) {
return $this->disabledSignal("Insufficient history for day-of-week pattern ({$uniqueDays} days, need ".self::MIN_DAYS.')');
}
$dowAverages = $rows->groupBy('dow')->map(fn ($g) => $g->avg('avg_price'));
$weekAvg = $dowAverages->avg();
$todayDow = (int) now()->format('w') + 1; // PHP 0=Sun → MySQL 1=Sun
$todayAvg = $dowAverages->get($todayDow, $weekAvg);
$cheapestDow = $dowAverages->keys()->sortBy(fn ($k) => $dowAverages[$k])->first();
$dayNames = ['Sun', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat'];
$todayName = $dayNames[($todayDow - 1) % 7] ?? 'Today';
$tomorrowName = $dayNames[$todayDow % 7] ?? 'Tomorrow';
$todayDeltaPence = round(($todayAvg - $weekAvg) / 100, 1);
$tomorrowDeltaPence = round(($dowAverages->get(($todayDow % 7) + 1, $weekAvg) - $todayAvg) / 100, 1);
$direction = match (true) {
($todayAvg - $weekAvg) / 100 >= 1.5 => 'up',
($weekAvg - $todayAvg) / 100 >= 1.5 => 'down',
default => 'stable',
};
$score = $direction === 'stable' ? 0.0 : ($direction === 'up' ? 1.0 : -1.0);
$parts = [];
$parts[] = abs($todayDeltaPence) < 0.1
? "Today ({$todayName}) is typically in line with the weekly average."
: sprintf(
'Today (%s) is typically %sp %s the weekly average.',
$todayName,
number_format(abs($todayDeltaPence), 1),
$todayDeltaPence > 0 ? 'above' : 'below',
);
$parts[] = abs($tomorrowDeltaPence) < 0.1
? "Tomorrow ({$tomorrowName}) is typically the same."
: sprintf(
'Tomorrow (%s) is typically %sp %s.',
$tomorrowName,
number_format(abs($tomorrowDeltaPence), 1),
$tomorrowDeltaPence < 0 ? 'cheaper' : 'pricier',
);
if ($cheapestDow === $todayDow) {
$parts[] = 'Today is historically the cheapest day of the week.';
}
return [
'score' => $score,
'confidence' => min(1.0, $uniqueDays / 90),
'direction' => $direction,
'detail' => implode(' ', $parts),
'data_points' => $uniqueDays,
'enabled' => true,
];
}
}