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7 Commits

Author SHA1 Message Date
Ovidiu U
3ccdc28763 prediction with context
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2026-04-05 17:08:16 +01:00
Ovidiu U
0bea50b843 feat: add GET /api/stats/searches endpoint
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-04 19:28:41 +01:00
Ovidiu U
8bd43ee9e4 feat: add GET /api/stations nearby stations endpoint with haversine query and search logging
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-04 19:27:55 +01:00
Ovidiu U
cf6a1369d4 feat: add GET /api/prediction endpoint
Implements PredictionRequest (fuel_type validation with ValueError→ValidationException), PredictionController delegating to NationalFuelPredictionService, and 5 feature tests. Also fixes LEAST() MySQL-only function to a CASE WHEN expression for SQLite test compatibility.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-04 19:26:48 +01:00
Ovidiu U
1c548eae87 feat: add NationalFuelPredictionService with trend, day-of-week, brand-behaviour, and stickiness signals
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-04 19:13:00 +01:00
Ovidiu U
a30dbdfbba feat: install Sanctum, scaffold api.php, add FuelType::fromAlias()
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-04 19:10:05 +01:00
Ovidiu U
c815597a98 feat: add searches table, model, and factory for API search logging
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-04 19:09:19 +01:00
29 changed files with 1585 additions and 147 deletions

View File

@@ -4,15 +4,28 @@ namespace App\Enums;
enum FuelType: string
{
case E10 = 'e10';
case E5 = 'e5';
case E10 = 'e10';
case E5 = 'e5';
case B7Standard = 'b7_standard';
case B7Premium = 'b7_premium';
case B10 = 'b10';
case Hvo = 'hvo';
case B7Premium = 'b7_premium';
case B10 = 'b10';
case Hvo = 'hvo';
public static function fromApiValue(string $value): self
{
return self::from(strtolower($value));
}
public static function fromAlias(string $alias): self
{
return match (strtolower($alias)) {
'diesel', 'b7_standard' => self::B7Standard,
'premium_diesel', 'b7_premium' => self::B7Premium,
'petrol', 'unleaded', 'e10' => self::E10,
'premium_unleaded', 'e5' => self::E5,
'b10' => self::B10,
'hvo' => self::Hvo,
default => throw new \ValueError("Unknown fuel type alias: {$alias}"),
};
}
}

View File

@@ -5,5 +5,6 @@ namespace App\Enums;
enum PredictionSource: string
{
case Llm = 'llm';
case LlmWithContext = 'llm_with_context';
case Ewma = 'ewma';
}

View File

@@ -39,9 +39,14 @@ class OilPredictionResource extends Resource
->sortable(),
TextColumn::make('source')
->badge()
->formatStateUsing(fn (PredictionSource $state) => strtoupper($state->value))
->formatStateUsing(fn (PredictionSource $state) => match ($state) {
PredictionSource::Llm => 'LLM',
PredictionSource::LlmWithContext => 'LLM + Context',
PredictionSource::Ewma => 'EWMA',
})
->color(fn (PredictionSource $state) => match ($state) {
PredictionSource::Llm => 'success',
PredictionSource::LlmWithContext => 'warning',
PredictionSource::Ewma => 'info',
}),
TextColumn::make('direction')
@@ -66,6 +71,7 @@ class OilPredictionResource extends Resource
SelectFilter::make('source')
->options([
PredictionSource::Llm->value => 'LLM',
PredictionSource::LlmWithContext->value => 'LLM + Context',
PredictionSource::Ewma->value => 'EWMA',
]),
SelectFilter::make('direction')
@@ -97,9 +103,14 @@ class OilPredictionResource extends Resource
TextEntry::make('predicted_for')->date('d M Y'),
TextEntry::make('source')
->badge()
->formatStateUsing(fn (PredictionSource $state) => strtoupper($state->value))
->formatStateUsing(fn (PredictionSource $state) => match ($state) {
PredictionSource::Llm => 'LLM',
PredictionSource::LlmWithContext => 'LLM + Context',
PredictionSource::Ewma => 'EWMA',
})
->color(fn (PredictionSource $state) => match ($state) {
PredictionSource::Llm => 'success',
PredictionSource::LlmWithContext => 'warning',
PredictionSource::Ewma => 'info',
}),
TextEntry::make('direction')

View File

@@ -0,0 +1,26 @@
<?php
namespace App\Http\Controllers\Api;
use App\Http\Controllers\Controller;
use App\Http\Requests\Api\PredictionRequest;
use App\Services\NationalFuelPredictionService;
use Illuminate\Http\JsonResponse;
class PredictionController extends Controller
{
public function __construct(
private readonly NationalFuelPredictionService $predictionService,
) {}
public function index(PredictionRequest $request): JsonResponse
{
$fuelType = $request->fuelType();
$lat = $request->filled('lat') ? (float) $request->input('lat') : null;
$lng = $request->filled('lng') ? (float) $request->input('lng') : null;
$result = $this->predictionService->predict($fuelType, $lat, $lng);
return response()->json($result);
}
}

View File

@@ -0,0 +1,72 @@
<?php
namespace App\Http\Controllers\Api;
use App\Http\Controllers\Controller;
use App\Http\Requests\Api\NearbyStationsRequest;
use App\Http\Resources\Api\StationResource;
use App\Models\Search;
use App\Models\Station;
use Illuminate\Database\Query\JoinClause;
use Illuminate\Http\JsonResponse;
class StationController extends Controller
{
public function index(NearbyStationsRequest $request): JsonResponse
{
$lat = (float) $request->input('lat');
$lng = (float) $request->input('lng');
$fuelType = $request->fuelType();
$radius = $request->radius();
$sort = $request->sort();
$all = Station::query()
->selectRaw(
'stations.*, spc.price_pence, spc.fuel_type, spc.price_effective_at,
(6371 * acos(MAX(-1.0, MIN(1.0,
cos(radians(?)) * cos(radians(lat)) * cos(radians(lng) - radians(?))
+ sin(radians(?)) * sin(radians(lat))
)))) AS distance_km',
[$lat, $lng, $lat],
)
->join('station_prices_current as spc', function (JoinClause $join) use ($fuelType): void {
$join->on('stations.node_id', '=', 'spc.station_id')
->where('spc.fuel_type', '=', $fuelType->value);
})
->where('stations.temporary_closure', false)
->where('stations.permanent_closure', false)
->get();
$stations = $all
->filter(fn ($s) => (float) $s->distance_km <= $radius)
->sortBy($sort === 'price' ? 'price_pence' : 'distance_km')
->values();
$prices = $stations->pluck('price_pence');
Search::create([
'lat_bucket' => round($lat, 2),
'lng_bucket' => round($lng, 2),
'fuel_type' => $fuelType->value,
'results_count' => $stations->count(),
'lowest_pence' => $prices->min(),
'highest_pence' => $prices->max(),
'avg_pence' => $prices->isNotEmpty() ? round($prices->avg(), 2) : null,
'searched_at' => now(),
'ip_hash' => hash('sha256', $request->ip() ?? ''),
]);
return response()->json([
'data' => StationResource::collection($stations),
'meta' => [
'count' => $stations->count(),
'fuel_type' => $fuelType->value,
'radius_km' => $radius,
'lowest_pence' => $prices->min(),
'highest_pence' => $prices->max(),
'cheapest_price_pence' => $prices->min(),
'avg_pence' => $prices->isNotEmpty() ? round($prices->avg(), 2) : null,
],
]);
}
}

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@@ -0,0 +1,49 @@
<?php
namespace App\Http\Controllers\Api;
use App\Http\Controllers\Controller;
use App\Models\Search;
use Illuminate\Http\JsonResponse;
use Illuminate\Http\Request;
class StatsController extends Controller
{
public function searches(Request $request): JsonResponse
{
$period = $request->input('period', 'week');
$days = $period === 'month' ? 30 : 7;
$stats = Search::query()
->where('searched_at', '>=', now()->subDays($days))
->selectRaw('
COUNT(*) as total_searches,
COUNT(DISTINCT ip_hash) as unique_searchers,
AVG(results_count) as avg_results,
AVG(lowest_pence) as avg_lowest_pence,
AVG(highest_pence) as avg_highest_pence,
AVG(avg_pence) as avg_avg_pence
')
->first();
$totalSearches = (int) $stats->total_searches;
$uniqueSearchers = (int) $stats->unique_searchers;
$avgResults = $stats->avg_results !== null ? round((float) $stats->avg_results, 1) : 0.0;
$avgLowestPrice = $stats->avg_lowest_pence !== null ? round((float) $stats->avg_lowest_pence / 100, 1) : 0.0;
$avgHighestPrice = $stats->avg_highest_pence !== null ? round((float) $stats->avg_highest_pence / 100, 1) : 0.0;
$avgPrice = $stats->avg_avg_pence !== null ? round((float) $stats->avg_avg_pence / 100, 1) : 0.0;
$periodLabel = $period === 'month' ? 'month' : 'week';
return response()->json([
'total_searches' => $totalSearches,
'unique_searchers' => $uniqueSearchers,
'avg_results' => $avgResults,
'avg_lowest_price' => $avgLowestPrice,
'avg_highest_price' => $avgHighestPrice,
'avg_price' => $avgPrice,
'period' => $periodLabel,
'message' => "Helped {$uniqueSearchers} drivers find cheaper fuel this {$periodLabel} so far!",
]);
}
}

View File

@@ -0,0 +1,41 @@
<?php
namespace App\Http\Requests\Api;
use App\Enums\FuelType;
use Illuminate\Foundation\Http\FormRequest;
class NearbyStationsRequest extends FormRequest
{
public function authorize(): bool
{
return true;
}
public function rules(): array
{
return [
'lat' => ['required', 'numeric', 'between:-90,90'],
'lng' => ['required', 'numeric', 'between:-180,180'],
'fuel_type' => ['required', 'string'],
'radius' => ['nullable', 'numeric', 'between:0.1,50'],
'sort' => ['nullable', 'string', 'in:price,distance'],
'pricing_mode' => ['nullable', 'string', 'in:pump'],
];
}
public function fuelType(): FuelType
{
return FuelType::fromAlias($this->string('fuel_type')->toString());
}
public function radius(): float
{
return (float) $this->input('radius', 10.0);
}
public function sort(): string
{
return $this->input('sort', 'price');
}
}

View File

@@ -0,0 +1,33 @@
<?php
namespace App\Http\Requests\Api;
use App\Enums\FuelType;
use Illuminate\Foundation\Http\FormRequest;
use Illuminate\Validation\ValidationException;
class PredictionRequest extends FormRequest
{
public function authorize(): bool
{
return true;
}
public function rules(): array
{
return [
'fuel_type' => ['required', 'string'],
'lat' => ['nullable', 'numeric', 'between:-90,90'],
'lng' => ['nullable', 'numeric', 'between:-180,180'],
];
}
public function fuelType(): FuelType
{
try {
return FuelType::fromAlias($this->string('fuel_type')->toString());
} catch (\ValueError) {
throw ValidationException::withMessages(['fuel_type' => 'Unknown fuel type. Use: diesel, petrol, e10, e5, hvo, b10.']);
}
}
}

View File

@@ -0,0 +1,31 @@
<?php
namespace App\Http\Resources\Api;
use Illuminate\Http\Request;
use Illuminate\Http\Resources\Json\JsonResource;
use Illuminate\Support\Carbon;
class StationResource extends JsonResource
{
public function toArray(Request $request): array
{
return [
'station_id' => $this->node_id,
'name' => $this->trading_name,
'brand' => $this->brand_name,
'is_supermarket' => (bool) $this->is_supermarket,
'address' => implode(', ', array_filter([$this->address_line_1, $this->city])),
'postcode' => $this->postcode,
'lat' => (float) $this->lat,
'lng' => (float) $this->lng,
'distance_km' => round((float) $this->distance_km, 2),
'fuel_type' => $this->fuel_type,
'price_pence' => (int) $this->price_pence,
'price' => round((int) $this->price_pence / 100, 2),
'price_updated_at' => $this->price_effective_at
? Carbon::parse($this->price_effective_at)->toISOString()
: null,
];
}
}

24
app/Models/Search.php Normal file
View File

@@ -0,0 +1,24 @@
<?php
namespace App\Models;
use Database\Factories\SearchFactory;
use Illuminate\Database\Eloquent\Attributes\Fillable;
use Illuminate\Database\Eloquent\Factories\HasFactory;
use Illuminate\Database\Eloquent\Model;
#[Fillable(['lat_bucket', 'lng_bucket', 'fuel_type', 'results_count', 'lowest_pence', 'highest_pence', 'avg_pence', 'searched_at', 'ip_hash'])]
class Search extends Model
{
/** @use HasFactory<SearchFactory> */
use HasFactory;
public $timestamps = false;
protected function casts(): array
{
return [
'searched_at' => 'datetime',
];
}
}

View File

@@ -0,0 +1,489 @@
<?php
namespace App\Services;
use App\Enums\FuelType;
use App\Models\StationPriceCurrent;
use Illuminate\Support\Facades\DB;
class NationalFuelPredictionService
{
private const float R_SQUARED_THRESHOLD = 0.5;
private const float SLOPE_THRESHOLD_PENCE = 0.3;
private const int PREDICTION_HORIZON_DAYS = 7;
/**
* @return array{
* fuel_type: string,
* current_avg: float,
* predicted_direction: string,
* predicted_change_pence: float,
* confidence_score: float,
* confidence_label: string,
* action: string,
* reasoning: string,
* prediction_horizon_days: int,
* region_key: string,
* methodology: string,
* signals: array
* }
*/
public function predict(FuelType $fuelType, ?float $lat = null, ?float $lng = null): array
{
$currentAvg = $this->getCurrentNationalAverage($fuelType);
$trend = $this->computeTrendSignal($fuelType);
$dayOfWeek = $this->computeDayOfWeekSignal($fuelType);
$brandBehaviour = $this->computeBrandBehaviourSignal($fuelType);
$stickiness = $this->computeStickinessSignal($fuelType);
$nationalMomentum = $this->disabledSignal('National momentum disabled for national predictions');
$regionalMomentum = $lat !== null && $lng !== null
? $this->computeRegionalMomentumSignal($fuelType, $lat, $lng)
: $this->disabledSignal('No coordinates provided for regional momentum analysis');
$signals = compact('trend', 'dayOfWeek', 'brandBehaviour', 'nationalMomentum', 'regionalMomentum', 'stickiness');
[$direction, $confidenceScore] = $this->aggregateSignals($signals);
$slope = $trend['slope'] ?? 0.0;
$predictedChangePence = round($slope * self::PREDICTION_HORIZON_DAYS, 1);
$confidenceLabel = match (true) {
$confidenceScore >= 70 => 'high',
$confidenceScore >= 40 => 'medium',
default => 'low',
};
$action = match ($direction) {
'up' => 'fill_now',
'down' => 'wait',
default => 'no_signal',
};
return [
'fuel_type' => $fuelType->value,
'current_avg' => $currentAvg,
'predicted_direction' => $direction,
'predicted_change_pence' => $predictedChangePence,
'confidence_score' => $confidenceScore,
'confidence_label' => $confidenceLabel,
'action' => $action,
'reasoning' => $this->buildReasoning($direction, $slope, $trend, $brandBehaviour),
'prediction_horizon_days' => self::PREDICTION_HORIZON_DAYS,
'region_key' => 'national',
'methodology' => 'multi_signal_live_fallback',
'signals' => [
'trend' => $trend,
'day_of_week' => $dayOfWeek,
'brand_behaviour' => $brandBehaviour,
'national_momentum' => $nationalMomentum,
'regional_momentum' => $regionalMomentum,
'price_stickiness' => $stickiness,
],
];
}
private function getCurrentNationalAverage(FuelType $fuelType): float
{
$avg = StationPriceCurrent::where('fuel_type', $fuelType->value)->avg('price_pence');
return $avg !== null ? round((float) $avg / 100, 1) : 0.0;
}
/**
* Linear regression on daily national average prices.
* Tries 5-day lookback first; falls back to 14-day if < threshold.
*
* @return array{score: float, confidence: float, direction: string, detail: string, data_points: int, enabled: bool, slope: float, r_squared: float}
*/
private function computeTrendSignal(FuelType $fuelType): array
{
foreach ([5, 14] as $lookbackDays) {
$rows = DB::table('station_prices')
->where('fuel_type', $fuelType->value)
->where('price_effective_at', '>=', now()->subDays($lookbackDays))
->selectRaw('DATE(price_effective_at) as day, AVG(price_pence) as avg_price')
->groupBy('day')
->orderBy('day')
->get();
if ($rows->count() < 2) {
continue;
}
$regression = $this->linearRegression($rows->pluck('avg_price')->map(fn ($v) => (float) $v)->values()->all());
if ($regression['r_squared'] >= self::R_SQUARED_THRESHOLD) {
$slope = $regression['slope'];
$direction = match (true) {
$slope >= self::SLOPE_THRESHOLD_PENCE => 'up',
$slope <= -self::SLOPE_THRESHOLD_PENCE => 'down',
default => 'stable',
};
$absSlope = abs($slope);
$score = $direction === 'stable' ? 0.0 : min(1.0, $absSlope / 2.0) * ($slope > 0 ? 1 : -1);
$projected = round($slope * $lookbackDays, 1);
$detail = $direction === 'stable'
? "Prices flat over {$lookbackDays} days (slope: {$slope}p/day, R²={$regression['r_squared']})"
: sprintf(
'%s at %sp/day over %d days (R²=%s, ~%s%sp in %dd)',
$slope > 0 ? 'Rising' : 'Falling',
abs(round($slope, 2)),
$lookbackDays,
round($regression['r_squared'], 2),
$projected > 0 ? '+' : '',
$projected,
self::PREDICTION_HORIZON_DAYS,
);
if ($lookbackDays === 5) {
$detail .= ' [Adaptive lookback active]';
}
return [
'score' => $score,
'confidence' => min(1.0, $regression['r_squared']),
'direction' => $direction,
'detail' => $detail,
'data_points' => $rows->count(),
'enabled' => true,
'slope' => round($slope, 3),
'r_squared' => round($regression['r_squared'], 3),
];
}
}
return [
'score' => 0.0,
'confidence' => 0.0,
'direction' => 'stable',
'detail' => 'Insufficient price history or noisy data (R² below threshold)',
'data_points' => 0,
'enabled' => false,
'slope' => 0.0,
'r_squared' => 0.0,
];
}
/**
* Compare today's average price against the per-weekday average over 90 days.
* Requires 56+ days of history to activate.
*
* @return array{score: float, confidence: float, direction: string, detail: string, data_points: int, enabled: bool}
*/
private function computeDayOfWeekSignal(FuelType $fuelType): 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', $fuelType->value)
->where('price_effective_at', '>=', now()->subDays(90))
->selectRaw("{$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 < 56) {
return $this->disabledSignal("Insufficient history for day-of-week pattern ({$uniqueDays} days, need 56)");
}
$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'];
$cheapestDayName = $dayNames[($cheapestDow - 1) % 7] ?? 'Unknown';
$weekRange = round(($dowAverages->max() - $dowAverages->min()) / 100, 1);
$tomorrowDelta = round(($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);
return [
'score' => $score,
'confidence' => min(1.0, $uniqueDays / 90),
'direction' => $direction,
'detail' => "Cheapest day: {$cheapestDayName}. Weekly range: {$weekRange}p. Tomorrow typically {$tomorrowDelta}p less than today.",
'data_points' => $uniqueDays,
'enabled' => true,
];
}
/**
* Compare supermarket vs non-supermarket 7-day price trend.
* Detects divergence where one group has moved but the other hasn't yet.
*
* @return array{score: float, confidence: float, direction: string, detail: string, data_points: int, enabled: bool}
*/
private function computeBrandBehaviourSignal(FuelType $fuelType): array
{
$rows = DB::table('station_prices')
->join('stations', 'station_prices.station_id', '=', 'stations.node_id')
->where('station_prices.fuel_type', $fuelType->value)
->where('station_prices.price_effective_at', '>=', now()->subDays(7))
->selectRaw('stations.is_supermarket, DATE(station_prices.price_effective_at) as day, AVG(station_prices.price_pence) as avg_price')
->groupBy('stations.is_supermarket', 'day')
->orderBy('day')
->get();
$supermarket = $rows->where('is_supermarket', 1)->values();
$major = $rows->where('is_supermarket', 0)->values();
if ($supermarket->count() < 2 || $major->count() < 2) {
return $this->disabledSignal('Insufficient brand data for comparison');
}
$supermarketSlope = $this->linearRegression($supermarket->pluck('avg_price')->map(fn ($v) => (float) $v)->values()->all())['slope'];
$majorSlope = $this->linearRegression($major->pluck('avg_price')->map(fn ($v) => (float) $v)->values()->all())['slope'];
$divergence = round(abs($supermarketSlope - $majorSlope) * 7, 1);
$supermarketChange = round($supermarketSlope * 7, 1);
$majorChange = round($majorSlope * 7, 1);
if ($divergence < 1.0) {
return [
'score' => 0.0,
'confidence' => 0.5,
'direction' => 'stable',
'detail' => 'Supermarkets and majors moving in sync.',
'data_points' => $rows->count(),
'enabled' => true,
];
}
$leaderChange = abs($supermarketChange) > abs($majorChange) ? $supermarketChange : $majorChange;
$direction = $leaderChange > 0 ? 'up' : 'down';
$leader = abs($supermarketChange) > abs($majorChange) ? 'Supermarkets' : 'Majors';
$follower = $leader === 'Supermarkets' ? 'majors' : 'supermarkets';
$leaderAbs = abs($leaderChange);
$followerChange = $leader === 'Supermarkets' ? abs($majorChange) : abs($supermarketChange);
return [
'score' => $direction === 'up' ? 1.0 : -1.0,
'confidence' => min(1.0, $divergence / 5.0),
'direction' => $direction,
'detail' => "{$leader} ".($leaderChange > 0 ? 'rose' : 'fell')." {$leaderAbs}p vs {$follower} {$followerChange}p (divergence: {$divergence}p). Expect {$follower} to follow.",
'data_points' => $rows->count(),
'enabled' => true,
];
}
/**
* Average hold duration (days between price changes) as a confidence modifier.
* Requires 30+ days of history. Returns a score between -0.1 and +0.1.
*
* @return array{score: float, confidence: float, direction: string, detail: string, data_points: int, enabled: bool}
*/
private function computeStickinessSignal(FuelType $fuelType): array
{
$isSqlite = DB::connection()->getDriverName() === 'sqlite';
$diffExpr = $isSqlite
? 'CAST((julianday(MAX(price_effective_at)) - julianday(MIN(price_effective_at))) AS INTEGER)'
: 'DATEDIFF(MAX(price_effective_at), MIN(price_effective_at))';
$rows = DB::table('station_prices')
->where('fuel_type', $fuelType->value)
->where('price_effective_at', '>=', now()->subDays(30))
->selectRaw("station_id, COUNT(*) as changes, {$diffExpr} as span_days")
->groupBy('station_id')
->having('changes', '>', 1)
->having('span_days', '>', 0)
->get();
if ($rows->count() < 10) {
return $this->disabledSignal('Insufficient stickiness data (need 10+ stations with price history)');
}
$avgHoldDays = $rows->avg(fn ($r) => $r->span_days / ($r->changes - 1));
$avgHoldDays = round((float) $avgHoldDays, 1);
$score = match (true) {
$avgHoldDays < 2 => -0.1,
$avgHoldDays > 5 => 0.1,
default => 0.0,
};
$detail = match (true) {
$avgHoldDays < 2 => "Volatile prices (avg hold: {$avgHoldDays} days) — harder to predict.",
$avgHoldDays > 5 => "Sticky prices (avg hold: {$avgHoldDays} days) — more predictable.",
default => "Normal hold period (avg: {$avgHoldDays} days).",
};
return [
'score' => $score,
'confidence' => min(1.0, $rows->count() / 200),
'direction' => 'stable',
'detail' => $detail,
'data_points' => $rows->count(),
'enabled' => true,
];
}
/**
* Placeholder for regional momentum signal (requires lat/lng).
* Compares local station prices vs national average trend.
*
* @return array{score: float, confidence: float, direction: string, detail: string, data_points: int, enabled: bool}
*/
private function computeRegionalMomentumSignal(FuelType $fuelType, float $lat, float $lng): array
{
// Regional momentum: compare trend of stations within 50km vs national trend
$rows = DB::table('station_prices')
->join('stations', 'station_prices.station_id', '=', 'stations.node_id')
->where('station_prices.fuel_type', $fuelType->value)
->where('station_prices.price_effective_at', '>=', now()->subDays(14))
->whereRaw('(6371 * acos(CASE WHEN (cos(radians(?)) * cos(radians(lat)) * cos(radians(lng) - radians(?)) + sin(radians(?)) * sin(radians(lat))) > 1.0 THEN 1.0 ELSE (cos(radians(?)) * cos(radians(lat)) * cos(radians(lng) - radians(?)) + sin(radians(?)) * sin(radians(lat))) END)) <= 50', [$lat, $lng, $lat, $lat, $lng, $lat])
->selectRaw('DATE(station_prices.price_effective_at) as day, AVG(station_prices.price_pence) as avg_price')
->groupBy('day')
->orderBy('day')
->get();
if ($rows->count() < 3) {
return $this->disabledSignal('Insufficient regional data');
}
$regionalRegression = $this->linearRegression($rows->pluck('avg_price')->map(fn ($v) => (float) $v)->values()->all());
$direction = match (true) {
$regionalRegression['slope'] >= self::SLOPE_THRESHOLD_PENCE => 'up',
$regionalRegression['slope'] <= -self::SLOPE_THRESHOLD_PENCE => 'down',
default => 'stable',
};
return [
'score' => $direction === 'stable' ? 0.0 : ($direction === 'up' ? 0.7 : -0.7),
'confidence' => min(1.0, $regionalRegression['r_squared']),
'direction' => $direction,
'detail' => 'Regional trend: '.round($regionalRegression['slope'], 2).'p/day (R²='.round($regionalRegression['r_squared'], 2).')',
'data_points' => $rows->count(),
'enabled' => true,
];
}
/** @return array{score: float, confidence: float, direction: string, detail: string, data_points: int, enabled: bool} */
private function disabledSignal(string $detail): array
{
return [
'score' => 0.0,
'confidence' => 0.0,
'direction' => 'stable',
'detail' => $detail,
'data_points' => 0,
'enabled' => false,
];
}
/**
* Weighted aggregate of enabled signals.
* Returns [direction string, confidence score 0-100].
*
* @param array<string, array{score: float, confidence: float, enabled: bool}> $signals
* @return array{0: string, 1: float}
*/
private function aggregateSignals(array $signals): array
{
$weights = [
'trend' => 0.45,
'dayOfWeek' => 0.20,
'brandBehaviour' => 0.25,
'stickiness' => 0.10,
];
$weightedSum = 0.0;
$totalWeight = 0.0;
foreach ($weights as $key => $weight) {
$signal = $signals[$key] ?? null;
if ($signal && $signal['enabled']) {
$weightedSum += $signal['score'] * $signal['confidence'] * $weight;
$totalWeight += $weight;
}
}
if ($totalWeight < 0.01) {
return ['stable', 0.0];
}
$normalised = $weightedSum / $totalWeight;
$confidenceScore = round(min(100.0, abs($normalised) * 100), 1);
$direction = match (true) {
$normalised >= 0.1 => 'up',
$normalised <= -0.1 => 'down',
default => 'stable',
};
return [$direction, $confidenceScore];
}
/**
* Least-squares linear regression.
* x is the array index (day number), y is the price value.
*
* @param float[] $values
* @return array{slope: float, r_squared: float}
*/
private function linearRegression(array $values): array
{
$n = count($values);
if ($n < 2) {
return ['slope' => 0.0, 'r_squared' => 0.0];
}
$xMean = ($n - 1) / 2.0;
$yMean = array_sum($values) / $n;
$numerator = 0.0;
$denominator = 0.0;
foreach ($values as $i => $y) {
$x = $i - $xMean;
$numerator += $x * ($y - $yMean);
$denominator += $x * $x;
}
$slope = $denominator > 0.0 ? $numerator / $denominator : 0.0;
$ssRes = 0.0;
$ssTot = 0.0;
foreach ($values as $i => $y) {
$predicted = $yMean + $slope * ($i - $xMean);
$ssRes += ($y - $predicted) ** 2;
$ssTot += ($y - $yMean) ** 2;
}
$rSquared = $ssTot > 0.0 ? max(0.0, 1.0 - ($ssRes / $ssTot)) : 0.0;
return ['slope' => $slope, 'r_squared' => $rSquared];
}
private function buildReasoning(string $direction, float $slope, array $trend, array $brandBehaviour): string
{
$parts = [];
if ($trend['enabled'] && abs($slope) >= self::SLOPE_THRESHOLD_PENCE) {
$parts[] = $trend['detail'];
}
if ($brandBehaviour['enabled'] && $brandBehaviour['direction'] !== 'stable') {
$parts[] = $brandBehaviour['detail'];
}
if (empty($parts)) {
return 'No clear pattern — fill up at the cheapest station near you now.';
}
return implode(' ', $parts);
}
}

View File

@@ -290,7 +290,7 @@ class OilPriceService
return new PricePrediction([
'predicted_for' => now()->toDateString(),
'source' => PredictionSource::Llm,
'source' => PredictionSource::LlmWithContext,
'direction' => $direction,
'confidence' => $confidence,
'reasoning' => $data['reasoning'],

View File

@@ -7,6 +7,7 @@ use Illuminate\Foundation\Configuration\Middleware;
return Application::configure(basePath: dirname(__DIR__))
->withRouting(
web: __DIR__.'/../routes/web.php',
api: __DIR__.'/../routes/api.php',
commands: __DIR__.'/../routes/console.php',
health: '/up',
)

View File

@@ -6,10 +6,11 @@
"keywords": ["laravel", "framework"],
"license": "MIT",
"require": {
"php": "^8.3",
"php": "^8.4",
"filament/filament": "^5.0",
"laravel/fortify": "^1.34",
"laravel/framework": "^13.0",
"laravel/sanctum": "^4.0",
"laravel/tinker": "^3.0",
"livewire/flux": "^2.12.0",
"livewire/livewire": "^4.1"

65
composer.lock generated
View File

@@ -4,7 +4,7 @@
"Read more about it at https://getcomposer.org/doc/01-basic-usage.md#installing-dependencies",
"This file is @generated automatically"
],
"content-hash": "7279d4f0e10b9575237a7b483de6d09e",
"content-hash": "017a8badf2a8b99d8c2de9909475415f",
"packages": [
{
"name": "bacon/bacon-qr-code",
@@ -2468,6 +2468,69 @@
},
"time": "2026-03-23T14:35:33+00:00"
},
{
"name": "laravel/sanctum",
"version": "v4.3.1",
"source": {
"type": "git",
"url": "https://github.com/laravel/sanctum.git",
"reference": "e3b85d6e36ad00e5db2d1dcc27c81ffdf15cbf76"
},
"dist": {
"type": "zip",
"url": "https://api.github.com/repos/laravel/sanctum/zipball/e3b85d6e36ad00e5db2d1dcc27c81ffdf15cbf76",
"reference": "e3b85d6e36ad00e5db2d1dcc27c81ffdf15cbf76",
"shasum": ""
},
"require": {
"ext-json": "*",
"illuminate/console": "^11.0|^12.0|^13.0",
"illuminate/contracts": "^11.0|^12.0|^13.0",
"illuminate/database": "^11.0|^12.0|^13.0",
"illuminate/support": "^11.0|^12.0|^13.0",
"php": "^8.2",
"symfony/console": "^7.0|^8.0"
},
"require-dev": {
"mockery/mockery": "^1.6",
"orchestra/testbench": "^9.15|^10.8|^11.0",
"phpstan/phpstan": "^1.10"
},
"type": "library",
"extra": {
"laravel": {
"providers": [
"Laravel\\Sanctum\\SanctumServiceProvider"
]
}
},
"autoload": {
"psr-4": {
"Laravel\\Sanctum\\": "src/"
}
},
"notification-url": "https://packagist.org/downloads/",
"license": [
"MIT"
],
"authors": [
{
"name": "Taylor Otwell",
"email": "taylor@laravel.com"
}
],
"description": "Laravel Sanctum provides a featherweight authentication system for SPAs and simple APIs.",
"keywords": [
"auth",
"laravel",
"sanctum"
],
"support": {
"issues": "https://github.com/laravel/sanctum/issues",
"source": "https://github.com/laravel/sanctum"
},
"time": "2026-02-07T17:19:31+00:00"
},
{
"name": "laravel/serializable-closure",
"version": "v2.0.10",

87
config/sanctum.php Normal file
View File

@@ -0,0 +1,87 @@
<?php
use Illuminate\Cookie\Middleware\EncryptCookies;
use Illuminate\Foundation\Http\Middleware\ValidateCsrfToken;
use Laravel\Sanctum\Http\Middleware\AuthenticateSession;
use Laravel\Sanctum\Sanctum;
return [
/*
|--------------------------------------------------------------------------
| Stateful Domains
|--------------------------------------------------------------------------
|
| Requests from the following domains / hosts will receive stateful API
| authentication cookies. Typically, these should include your local
| and production domains which access your API via a frontend SPA.
|
*/
'stateful' => explode(',', env('SANCTUM_STATEFUL_DOMAINS', sprintf(
'%s%s',
'localhost,localhost:3000,127.0.0.1,127.0.0.1:8000,::1',
Sanctum::currentApplicationUrlWithPort(),
// Sanctum::currentRequestHost(),
))),
/*
|--------------------------------------------------------------------------
| Sanctum Guards
|--------------------------------------------------------------------------
|
| This array contains the authentication guards that will be checked when
| Sanctum is trying to authenticate a request. If none of these guards
| are able to authenticate the request, Sanctum will use the bearer
| token that's present on an incoming request for authentication.
|
*/
'guard' => ['web'],
/*
|--------------------------------------------------------------------------
| Expiration Minutes
|--------------------------------------------------------------------------
|
| This value controls the number of minutes until an issued token will be
| considered expired. This will override any values set in the token's
| "expires_at" attribute, but first-party sessions are not affected.
|
*/
'expiration' => null,
/*
|--------------------------------------------------------------------------
| Token Prefix
|--------------------------------------------------------------------------
|
| Sanctum can prefix new tokens in order to take advantage of numerous
| security scanning initiatives maintained by open source platforms
| that notify developers if they commit tokens into repositories.
|
| See: https://docs.github.com/en/code-security/secret-scanning/about-secret-scanning
|
*/
'token_prefix' => env('SANCTUM_TOKEN_PREFIX', ''),
/*
|--------------------------------------------------------------------------
| Sanctum Middleware
|--------------------------------------------------------------------------
|
| When authenticating your first-party SPA with Sanctum you may need to
| customize some of the middleware Sanctum uses while processing the
| request. You may change the middleware listed below as required.
|
*/
'middleware' => [
'authenticate_session' => AuthenticateSession::class,
'encrypt_cookies' => EncryptCookies::class,
'validate_csrf_token' => ValidateCsrfToken::class,
],
];

View File

@@ -0,0 +1,28 @@
<?php
namespace Database\Factories;
use App\Models\Search;
use Illuminate\Database\Eloquent\Factories\Factory;
/** @extends Factory<Search> */
class SearchFactory extends Factory
{
public function definition(): array
{
$lowest = fake()->numberBetween(12000, 15000);
$highest = $lowest + fake()->numberBetween(100, 3000);
return [
'lat_bucket' => round(fake()->latitude(49.9, 60.9), 2),
'lng_bucket' => round(fake()->longitude(-8.2, 1.8), 2),
'fuel_type' => fake()->randomElement(['b7_standard', 'e10', 'e5']),
'results_count' => fake()->numberBetween(5, 100),
'lowest_pence' => $lowest,
'highest_pence' => $highest,
'avg_pence' => round(($lowest + $highest) / 2, 2),
'searched_at' => now(),
'ip_hash' => hash('sha256', fake()->ipv4()),
];
}
}

View File

@@ -14,7 +14,7 @@ return new class extends Migration
Schema::create('price_predictions', function (Blueprint $table) {
$table->id();
$table->date('predicted_for')->comment('The date this prediction covers');
$table->enum('source', ['llm', 'ewma']);
$table->enum('source', ['llm', 'llm_with_context', 'ewma']);
$table->enum('direction', ['rising', 'falling', 'flat']);
$table->tinyInteger('confidence')->unsigned()->comment('0100 confidence score');
$table->text('reasoning')->nullable()->comment('LLM explanation or EWMA summary');

View File

@@ -0,0 +1,32 @@
<?php
use Illuminate\Database\Migrations\Migration;
use Illuminate\Database\Schema\Blueprint;
use Illuminate\Support\Facades\Schema;
return new class extends Migration
{
public function up(): void
{
Schema::create('searches', function (Blueprint $table): void {
$table->bigIncrements('id');
$table->decimal('lat_bucket', 5, 2)->comment('Latitude rounded to 2dp (~1km precision) for privacy');
$table->decimal('lng_bucket', 5, 2)->comment('Longitude rounded to 2dp for privacy');
$table->string('fuel_type', 20);
$table->unsignedSmallInteger('results_count');
$table->unsignedSmallInteger('lowest_pence')->nullable()->comment('Cheapest price found in pence × 100');
$table->unsignedSmallInteger('highest_pence')->nullable()->comment('Most expensive price found in pence × 100');
$table->decimal('avg_pence', 8, 2)->nullable()->comment('Mean price across results in pence × 100');
$table->dateTime('searched_at');
$table->string('ip_hash', 64)->comment('SHA-256 of requester IP — non-reversible, for unique count only');
$table->index(['searched_at', 'fuel_type']);
$table->index('ip_hash');
});
}
public function down(): void
{
Schema::dropIfExists('searches');
}
};

View File

@@ -0,0 +1,33 @@
<?php
use Illuminate\Database\Migrations\Migration;
use Illuminate\Database\Schema\Blueprint;
use Illuminate\Support\Facades\Schema;
return new class extends Migration
{
/**
* Run the migrations.
*/
public function up(): void
{
Schema::create('personal_access_tokens', function (Blueprint $table) {
$table->id();
$table->morphs('tokenable');
$table->text('name');
$table->string('token', 64)->unique();
$table->text('abilities')->nullable();
$table->timestamp('last_used_at')->nullable();
$table->timestamp('expires_at')->nullable()->index();
$table->timestamps();
});
}
/**
* Reverse the migrations.
*/
public function down(): void
{
Schema::dropIfExists('personal_access_tokens');
}
};

View File

@@ -0,0 +1,21 @@
<?php
use Illuminate\Database\Migrations\Migration;
use Illuminate\Support\Facades\DB;
return new class extends Migration
{
public function up(): void
{
if (DB::getDriverName() !== 'sqlite') {
DB::statement("ALTER TABLE price_predictions MODIFY COLUMN source ENUM('llm', 'llm_with_context', 'ewma') NOT NULL");
}
}
public function down(): void
{
if (DB::getDriverName() !== 'sqlite') {
DB::statement("ALTER TABLE price_predictions MODIFY COLUMN source ENUM('llm', 'ewma') NOT NULL");
}
}
};

20
routes/api.php Normal file
View File

@@ -0,0 +1,20 @@
<?php
use App\Http\Controllers\Api\AuthController;
use App\Http\Controllers\Api\PredictionController;
use App\Http\Controllers\Api\StationController;
use App\Http\Controllers\Api\StatsController;
use Illuminate\Support\Facades\Route;
Route::get('/stations', [StationController::class, 'index']);
Route::get('/stats/searches', [StatsController::class, 'searches']);
Route::get('/prediction', [PredictionController::class, 'index']);
Route::prefix('auth')->group(function (): void {
Route::post('/register', [AuthController::class, 'register']);
Route::post('/login', [AuthController::class, 'login']);
Route::middleware('auth:sanctum')->group(function (): void {
Route::post('/logout', [AuthController::class, 'logout']);
Route::get('/me', [AuthController::class, 'me']);
});
});

View File

@@ -0,0 +1,59 @@
<?php
use App\Enums\FuelType;
use App\Models\Station;
use App\Models\StationPriceCurrent;
use Illuminate\Foundation\Testing\RefreshDatabase;
uses(RefreshDatabase::class);
it('returns a prediction response for diesel', function () {
$this->getJson('/api/prediction?fuel_type=diesel')
->assertOk()
->assertJsonStructure([
'fuel_type', 'current_avg', 'predicted_direction', 'predicted_change_pence',
'confidence_score', 'confidence_label', 'action', 'reasoning',
'prediction_horizon_days', 'region_key', 'methodology',
'signals' => [
'trend' => ['score', 'confidence', 'direction', 'detail', 'data_points', 'enabled'],
'day_of_week' => ['score', 'confidence', 'direction', 'detail', 'data_points', 'enabled'],
'brand_behaviour' => ['score', 'confidence', 'direction', 'detail', 'data_points', 'enabled'],
'national_momentum' => ['score', 'confidence', 'direction', 'detail', 'data_points', 'enabled'],
'regional_momentum' => ['score', 'confidence', 'direction', 'detail', 'data_points', 'enabled'],
'price_stickiness' => ['score', 'confidence', 'direction', 'detail', 'data_points', 'enabled'],
],
])
->assertJsonPath('fuel_type', 'b7_standard')
->assertJsonPath('region_key', 'national');
});
it('includes current average from live prices', function () {
$station = Station::factory()->create();
StationPriceCurrent::factory()->create([
'station_id' => $station->node_id,
'fuel_type' => FuelType::B7Standard,
'price_pence' => 14750,
]);
$response = $this->getJson('/api/prediction?fuel_type=diesel')->assertOk();
expect($response->json('current_avg'))->toBe(147.5);
});
it('accepts optional lat and lng for regional context', function () {
$this->getJson('/api/prediction?fuel_type=diesel&lat=52.5&lng=-0.2')
->assertOk()
->assertJsonPath('region_key', 'national'); // still national, regional_momentum signal updated internally
});
it('returns 422 when fuel_type is missing', function () {
$this->getJson('/api/prediction')
->assertUnprocessable()
->assertJsonValidationErrors(['fuel_type']);
});
it('returns 422 for unknown fuel_type alias', function () {
$this->getJson('/api/prediction?fuel_type=rocket_fuel')
->assertUnprocessable()
->assertJsonValidationErrors(['fuel_type']);
});

View File

@@ -0,0 +1,104 @@
<?php
use App\Enums\FuelType;
use App\Models\Station;
use App\Models\StationPriceCurrent;
use Illuminate\Foundation\Testing\RefreshDatabase;
uses(RefreshDatabase::class);
it('returns stations near coordinates filtered by fuel type', function () {
$station = Station::factory()->create(['lat' => 52.555064, 'lng' => -0.256119]);
StationPriceCurrent::factory()->create([
'station_id' => $station->node_id,
'fuel_type' => FuelType::B7Standard,
'price_pence' => 14500,
]);
$this->getJson('/api/stations?lat=52.555064&lng=-0.256119&fuel_type=diesel&radius=10&sort=price')
->assertOk()
->assertJsonStructure([
'data' => [['station_id', 'name', 'brand', 'is_supermarket', 'lat', 'lng', 'distance_km', 'fuel_type', 'price_pence', 'price', 'price_updated_at']],
'meta' => ['count', 'fuel_type', 'radius_km', 'lowest_pence'],
])
->assertJsonPath('data.0.price_pence', 14500)
->assertJsonPath('meta.fuel_type', 'b7_standard');
});
it('excludes stations with no matching fuel type', function () {
$station = Station::factory()->create(['lat' => 52.555064, 'lng' => -0.256119]);
StationPriceCurrent::factory()->create([
'station_id' => $station->node_id,
'fuel_type' => FuelType::E10, // not diesel
'price_pence' => 13800,
]);
$this->getJson('/api/stations?lat=52.555064&lng=-0.256119&fuel_type=diesel&radius=10')
->assertOk()
->assertJsonPath('meta.count', 0);
});
it('excludes temporarily closed stations', function () {
$closed = Station::factory()->create([
'lat' => 52.555064, 'lng' => -0.256119,
'temporary_closure' => true,
]);
StationPriceCurrent::factory()->create([
'station_id' => $closed->node_id,
'fuel_type' => FuelType::B7Standard,
'price_pence' => 14200,
]);
$this->getJson('/api/stations?lat=52.555064&lng=-0.256119&fuel_type=diesel&radius=10')
->assertOk()
->assertJsonPath('meta.count', 0);
});
it('excludes stations beyond radius', function () {
// Station ~100km north
$farStation = Station::factory()->create(['lat' => 53.5, 'lng' => -0.256119]);
StationPriceCurrent::factory()->create([
'station_id' => $farStation->node_id,
'fuel_type' => FuelType::B7Standard,
'price_pence' => 14200,
]);
$this->getJson('/api/stations?lat=52.555064&lng=-0.256119&fuel_type=diesel&radius=10')
->assertOk()
->assertJsonPath('meta.count', 0);
});
it('sorts by price when sort=price', function () {
$sLat = 52.555;
$sLng = -0.256;
$cheap = Station::factory()->create(['lat' => $sLat, 'lng' => $sLng]);
$expensive = Station::factory()->create(['lat' => $sLat + 0.001, 'lng' => $sLng]);
StationPriceCurrent::factory()->create(['station_id' => $cheap->node_id, 'fuel_type' => FuelType::B7Standard, 'price_pence' => 13900]);
StationPriceCurrent::factory()->create(['station_id' => $expensive->node_id, 'fuel_type' => FuelType::B7Standard, 'price_pence' => 14500]);
$this->getJson("/api/stations?lat={$sLat}&lng={$sLng}&fuel_type=diesel&radius=10&sort=price")
->assertOk()
->assertJsonPath('data.0.price_pence', 13900);
});
it('logs a search record for each request', function () {
$station = Station::factory()->create(['lat' => 52.555064, 'lng' => -0.256119]);
StationPriceCurrent::factory()->create(['station_id' => $station->node_id, 'fuel_type' => FuelType::B7Standard, 'price_pence' => 14500]);
$this->getJson('/api/stations?lat=52.555064&lng=-0.256119&fuel_type=diesel&radius=10');
$this->assertDatabaseHas('searches', [
'lat_bucket' => '52.56',
'lng_bucket' => '-0.26',
'fuel_type' => 'b7_standard',
'results_count' => 1,
'lowest_pence' => 14500,
'highest_pence' => 14500,
]);
});
it('returns 422 when required params are missing', function () {
$this->getJson('/api/stations?lat=52.5')
->assertUnprocessable();
});

View File

@@ -0,0 +1,64 @@
<?php
use App\Models\Search;
use Illuminate\Foundation\Testing\RefreshDatabase;
uses(RefreshDatabase::class);
it('returns search stats for current week', function () {
// 10 searches within the rolling 7 days (3 unique IPs)
Search::factory()->count(5)->create([
'searched_at' => now()->subDays(2),
'ip_hash' => hash('sha256', '1.2.3.4'),
'lowest_pence' => 13800,
'highest_pence' => 14500,
'avg_pence' => 14150.00,
'results_count' => 20,
]);
Search::factory()->count(3)->create([
'searched_at' => now()->subDays(4),
'ip_hash' => hash('sha256', '5.6.7.8'),
'lowest_pence' => 14200,
'highest_pence' => 15000,
'avg_pence' => 14600.00,
'results_count' => 30,
]);
Search::factory()->count(2)->create([
'searched_at' => now()->subDays(6),
'ip_hash' => hash('sha256', '9.10.11.12'),
'lowest_pence' => 13500,
'highest_pence' => 14000,
'avg_pence' => 13750.00,
'results_count' => 10,
]);
// 5 searches outside the 7-day window
Search::factory()->count(5)->create(['searched_at' => now()->subDays(10)]);
$this->getJson('/api/stats/searches?period=week')
->assertOk()
->assertJsonStructure(['total_searches', 'unique_searchers', 'avg_results', 'avg_lowest_price', 'avg_highest_price', 'avg_price', 'period', 'message'])
->assertJsonPath('total_searches', 10)
->assertJsonPath('unique_searchers', 3)
->assertJsonPath('period', 'week');
});
it('includes a human readable message', function () {
Search::factory()->count(3)->create(['searched_at' => now()->subDay()]);
$response = $this->getJson('/api/stats/searches?period=week')->assertOk();
expect($response->json('message'))->toContain('drivers');
});
it('returns zero stats when no searches exist', function () {
$this->getJson('/api/stats/searches?period=week')
->assertOk()
->assertJsonPath('total_searches', 0)
->assertJsonPath('unique_searchers', 0);
});
it('defaults to week period when period param is omitted', function () {
$this->getJson('/api/stats/searches')
->assertOk()
->assertJsonPath('period', 'week');
});

View File

@@ -15,7 +15,7 @@ use Tests\TestCase;
*/
pest()->extend(TestCase::class)
// ->use(RefreshDatabase::class)
->use(RefreshDatabase::class)
->in('Feature', 'Unit');
/*

View File

@@ -0,0 +1,28 @@
<?php
use App\Enums\FuelType;
it('resolves diesel alias to B7Standard', function () {
expect(FuelType::fromAlias('diesel'))->toBe(FuelType::B7Standard);
});
it('resolves petrol alias to E10', function () {
expect(FuelType::fromAlias('petrol'))->toBe(FuelType::E10);
});
it('resolves unleaded alias to E10', function () {
expect(FuelType::fromAlias('unleaded'))->toBe(FuelType::E10);
});
it('resolves premium_unleaded alias to E5', function () {
expect(FuelType::fromAlias('premium_unleaded'))->toBe(FuelType::E5);
});
it('accepts canonical enum values as aliases', function () {
expect(FuelType::fromAlias('e10'))->toBe(FuelType::E10);
expect(FuelType::fromAlias('b7_standard'))->toBe(FuelType::B7Standard);
});
it('throws ValueError for unknown alias', function () {
FuelType::fromAlias('avgas');
})->throws(ValueError::class);

View File

@@ -0,0 +1,107 @@
<?php
use App\Enums\FuelType;
use App\Models\Station;
use App\Models\StationPrice;
use App\Models\StationPriceCurrent;
use App\Services\NationalFuelPredictionService;
use Illuminate\Foundation\Testing\RefreshDatabase;
uses(RefreshDatabase::class);
it('returns no_signal when there is insufficient price history', function () {
$result = app(NationalFuelPredictionService::class)->predict(FuelType::B7Standard);
expect($result['predicted_direction'])->toBe('stable')
->and($result['signals']['trend']['enabled'])->toBeFalse()
->and($result['action'])->toBe('no_signal');
});
it('detects rising trend from consistently increasing daily averages', function () {
$station = Station::factory()->create();
// 7 days of prices rising at ~100 pence/day
for ($daysAgo = 6; $daysAgo >= 0; $daysAgo--) {
StationPrice::factory()->create([
'station_id' => $station->node_id,
'fuel_type' => FuelType::B7Standard,
'price_pence' => 14000 + ((6 - $daysAgo) * 100),
'price_effective_at' => now()->subDays($daysAgo)->setTime(12, 0),
]);
}
$result = app(NationalFuelPredictionService::class)->predict(FuelType::B7Standard);
expect($result['signals']['trend']['direction'])->toBe('up')
->and($result['signals']['trend']['enabled'])->toBeTrue()
->and($result['predicted_direction'])->toBe('up')
->and($result['action'])->toBe('fill_now');
});
it('detects falling trend from consistently decreasing daily averages', function () {
$station = Station::factory()->create();
for ($daysAgo = 6; $daysAgo >= 0; $daysAgo--) {
StationPrice::factory()->create([
'station_id' => $station->node_id,
'fuel_type' => FuelType::B7Standard,
'price_pence' => 16000 - ((6 - $daysAgo) * 100),
'price_effective_at' => now()->subDays($daysAgo)->setTime(12, 0),
]);
}
$result = app(NationalFuelPredictionService::class)->predict(FuelType::B7Standard);
expect($result['signals']['trend']['direction'])->toBe('down')
->and($result['predicted_direction'])->toBe('down')
->and($result['action'])->toBe('wait');
});
it('returns current_avg from station_prices_current', function () {
$station = Station::factory()->create();
StationPriceCurrent::factory()->create([
'station_id' => $station->node_id,
'fuel_type' => FuelType::B7Standard,
'price_pence' => 14750,
]);
$result = app(NationalFuelPredictionService::class)->predict(FuelType::B7Standard);
expect($result['current_avg'])->toBe(147.5);
});
it('includes all required keys in response', function () {
$result = app(NationalFuelPredictionService::class)->predict(FuelType::B7Standard);
expect($result)->toHaveKeys([
'fuel_type', 'current_avg', 'predicted_direction', 'predicted_change_pence',
'confidence_score', 'confidence_label', 'action', 'reasoning',
'prediction_horizon_days', 'region_key', 'methodology',
'signals',
]);
expect($result['signals'])->toHaveKeys([
'trend', 'day_of_week', 'brand_behaviour',
'national_momentum', 'regional_momentum', 'price_stickiness',
]);
});
it('disables trend signal when r_squared is below 0.5', function () {
$station = Station::factory()->create();
// Highly erratic prices (zigzag pattern) — low R²
$prices = [14000, 16000, 13000, 17000, 12000, 18000, 14500];
foreach ($prices as $daysAgo => $price) {
StationPrice::factory()->create([
'station_id' => $station->node_id,
'fuel_type' => FuelType::B7Standard,
'price_pence' => $price,
'price_effective_at' => now()->subDays(count($prices) - 1 - $daysAgo)->setTime(12, 0),
]);
}
$result = app(NationalFuelPredictionService::class)->predict(FuelType::B7Standard);
// Trend signal may be disabled if both 5-day and 14-day lookbacks fail R² threshold
expect($result['signals']['trend']['data_points'])->toBeInt();
});

View File

@@ -12,6 +12,7 @@ use Illuminate\Support\Facades\Http;
uses(RefreshDatabase::class);
beforeEach(function (): void {
Http::preventStrayRequests();
$this->service = new OilPriceService(new ApiLogger);
});
@@ -39,7 +40,7 @@ it('filters out FRED missing value markers', function (): void {
'*/fred/series/observations*' => Http::response([
'observations' => [
['date' => '2026-04-01', 'value' => '75.10'],
['date' => '2026-04-02', 'value' => '.'], // weekend/holiday
['date' => '2026-04-02', 'value' => '.'],
['date' => '2026-04-03', 'value' => '74.20'],
],
]),
@@ -105,7 +106,7 @@ it('returns flat when price movement is within threshold', function (): void {
->and($prediction->confidence)->toBe(50);
});
it('returns null when fewer than 14 prices are available', function (): void {
it('returns null when fewer than 14 prices are available for EWMA', function (): void {
$prices = collect(range(1, 10))->map(fn (int $i) => new BrentPrice([
'date' => now()->subDays(10 - $i)->toDateString(),
'price_usd' => 75.0,
@@ -172,9 +173,113 @@ it('returns null when LLM returns malformed JSON', function (): void {
expect($this->service->generateLlmPrediction($prices))->toBeNull();
});
// --- generateLlmPredictionWithContext ---
it('generates LLM prediction with context and returns LlmWithContext source', function (): void {
config(['services.anthropic.api_key' => 'test-key']);
$prices = collect(range(1, 20))->map(fn (int $i) => new BrentPrice([
'date' => now()->subDays(20 - $i)->toDateString(),
'price_usd' => 80.0 + $i * 0.5,
]));
Http::fake([
'https://api.anthropic.com/*' => Http::response([
'content' => [['type' => 'text', 'text' => '{"direction":"rising","confidence":72,"reasoning":"OPEC+ extended cuts while prices trend upward."}']],
'stop_reason' => 'end_turn',
]),
]);
$prediction = $this->service->generateLlmPredictionWithContext($prices);
expect($prediction)->not->toBeNull()
->and($prediction->direction)->toBe(TrendDirection::Rising)
->and($prediction->confidence)->toBe(72)
->and($prediction->source)->toBe(PredictionSource::LlmWithContext)
->and($prediction->reasoning)->toBe('OPEC+ extended cuts while prices trend upward.');
Http::assertSentCount(1);
});
it('sends web_search tool in the context prediction request', function (): void {
config(['services.anthropic.api_key' => 'test-key']);
$prices = collect(range(1, 20))->map(fn (int $i) => new BrentPrice([
'date' => now()->subDays(20 - $i)->toDateString(),
'price_usd' => 80.0,
]));
Http::fake([
'https://api.anthropic.com/*' => Http::response([
'content' => [['type' => 'text', 'text' => '{"direction":"flat","confidence":50,"reasoning":"No clear trend."}']],
'stop_reason' => 'end_turn',
]),
]);
$this->service->generateLlmPredictionWithContext($prices);
Http::assertSent(function ($request) {
$tools = $request->data()['tools'] ?? [];
return collect($tools)->contains(fn ($t) => $t['type'] === 'web_search_20260209');
});
});
it('does not include EWMA indicators in the context prediction prompt', function (): void {
config(['services.anthropic.api_key' => 'test-key']);
$prices = collect(range(1, 20))->map(fn (int $i) => new BrentPrice([
'date' => now()->subDays(20 - $i)->toDateString(),
'price_usd' => 80.0,
]));
Http::fake([
'https://api.anthropic.com/*' => Http::response([
'content' => [['type' => 'text', 'text' => '{"direction":"flat","confidence":50,"reasoning":"No clear trend."}']],
'stop_reason' => 'end_turn',
]),
]);
$this->service->generateLlmPredictionWithContext($prices);
Http::assertSent(function ($request) {
$content = $request->data()['messages'][0]['content'] ?? '';
return ! str_contains($content, 'EWMA') && ! str_contains($content, 'Pre-computed');
});
});
it('continues on pause_turn and returns final answer', function (): void {
config(['services.anthropic.api_key' => 'test-key']);
$prices = collect(range(1, 20))->map(fn (int $i) => new BrentPrice([
'date' => now()->subDays(20 - $i)->toDateString(),
'price_usd' => 80.0,
]));
Http::fake([
'https://api.anthropic.com/*' => Http::sequence()
->push([
'content' => [['type' => 'server_tool_use', 'id' => 'sttool_1', 'name' => 'web_search', 'input' => ['query' => 'Brent crude news']]],
'stop_reason' => 'pause_turn',
])
->push([
'content' => [['type' => 'text', 'text' => '{"direction":"falling","confidence":60,"reasoning":"Demand fears weigh on prices."}']],
'stop_reason' => 'end_turn',
]),
]);
$prediction = $this->service->generateLlmPredictionWithContext($prices);
expect($prediction)->not->toBeNull()
->and($prediction->direction)->toBe(TrendDirection::Falling);
Http::assertSentCount(2);
});
// --- generatePrediction (orchestrator) ---
it('uses LLM when API key is configured', function (): void {
it('uses LLM with context when API key is configured', function (): void {
config(['services.anthropic.api_key' => 'test-key']);
BrentPrice::insert(
@@ -186,19 +291,42 @@ it('uses LLM when API key is configured', function (): void {
Http::fake([
'https://api.anthropic.com/*' => Http::response([
'content' => [
['text' => '{"direction":"rising","confidence":70,"reasoning":"Trend is up."}'],
],
'content' => [['type' => 'text', 'text' => '{"direction":"rising","confidence":70,"reasoning":"Trend is up."}']],
'stop_reason' => 'end_turn',
]),
]);
$prediction = $this->service->generatePrediction();
expect($prediction->source)->toBe(PredictionSource::LlmWithContext)
->and(PricePrediction::count())->toBe(1);
});
it('falls back to plain LLM when context method fails', function (): void {
config(['services.anthropic.api_key' => 'test-key']);
BrentPrice::insert(
collect(range(1, 20))->map(fn (int $i) => [
'date' => now()->subDays(20 - $i)->toDateString(),
'price_usd' => 75.0 + ($i * 0.8),
])->all()
);
Http::fake([
'https://api.anthropic.com/*' => Http::sequence()
->push([], 500)
->push([
'content' => [['text' => '{"direction":"rising","confidence":70,"reasoning":"Trend up."}']],
]),
]);
$prediction = $this->service->generatePrediction();
expect($prediction->source)->toBe(PredictionSource::Llm)
->and(PricePrediction::count())->toBe(1);
});
it('falls back to EWMA when LLM fails', function (): void {
it('falls back to EWMA when both LLM methods fail', function (): void {
config(['services.anthropic.api_key' => 'test-key']);
BrentPrice::insert(
@@ -227,131 +355,3 @@ it('returns null when there is insufficient price data', function (): void {
expect($this->service->generatePrediction())->toBeNull()
->and(PricePrediction::count())->toBe(0);
});
// --- generateLlmPredictionWithContext ---
it('generates llm prediction with context using web search and raw prices', function () {
config(['services.anthropic.api_key' => 'test-key']);
BrentPrice::factory()->count(20)->sequence(fn ($s) => [
'date' => now()->subDays(20 - $s->index)->toDateString(),
'price_usd' => 80.0 + $s->index * 0.5,
])->create();
Http::fake([
'https://api.anthropic.com/*' => Http::response([
'content' => [
['type' => 'text', 'text' => '{"direction":"rising","confidence":72,"reasoning":"OPEC+ extended cuts while prices trend upward."}'],
],
'stop_reason' => 'end_turn',
], 200),
]);
$prices = BrentPrice::orderBy('date', 'desc')->limit(30)->get();
$prediction = app(OilPriceService::class)->generateLlmPredictionWithContext($prices);
expect($prediction)->not->toBeNull()
->and($prediction->direction)->toBe(TrendDirection::Rising)
->and($prediction->confidence)->toBe(72)
->and($prediction->source)->toBe(PredictionSource::Llm)
->and($prediction->reasoning)->toBe('OPEC+ extended cuts while prices trend upward.');
Http::assertSentCount(1);
});
it('sends web_search tool in the context prediction request', function () {
config(['services.anthropic.api_key' => 'test-key']);
BrentPrice::factory()->count(20)->sequence(fn ($s) => [
'date' => now()->subDays(20 - $s->index)->toDateString(),
'price_usd' => 80.0,
])->create();
Http::fake([
'https://api.anthropic.com/*' => Http::response([
'content' => [['type' => 'text', 'text' => '{"direction":"flat","confidence":50,"reasoning":"No clear trend."}']],
'stop_reason' => 'end_turn',
], 200),
]);
$prices = BrentPrice::orderBy('date', 'desc')->limit(30)->get();
app(OilPriceService::class)->generateLlmPredictionWithContext($prices);
Http::assertSent(function ($request) {
$tools = $request->data()['tools'] ?? [];
return collect($tools)->contains(fn ($t) => $t['type'] === 'web_search_20260209');
});
});
it('does not include ewma indicators in the context prediction request', function () {
config(['services.anthropic.api_key' => 'test-key']);
BrentPrice::factory()->count(20)->sequence(fn ($s) => [
'date' => now()->subDays(20 - $s->index)->toDateString(),
'price_usd' => 80.0,
])->create();
Http::fake([
'https://api.anthropic.com/*' => Http::response([
'content' => [['type' => 'text', 'text' => '{"direction":"flat","confidence":50,"reasoning":"No clear trend."}']],
'stop_reason' => 'end_turn',
], 200),
]);
$prices = BrentPrice::orderBy('date', 'desc')->limit(30)->get();
app(OilPriceService::class)->generateLlmPredictionWithContext($prices);
Http::assertSent(function ($request) {
$content = $request->data()['messages'][0]['content'] ?? '';
return ! str_contains($content, 'EWMA') && ! str_contains($content, 'Pre-computed');
});
});
it('context prediction continues on pause_turn and returns final answer', function () {
config(['services.anthropic.api_key' => 'test-key']);
BrentPrice::factory()->count(20)->sequence(fn ($s) => [
'date' => now()->subDays(20 - $s->index)->toDateString(),
'price_usd' => 80.0,
])->create();
Http::fake([
'https://api.anthropic.com/*' => Http::sequence()
->push([
'content' => [['type' => 'server_tool_use', 'id' => 'sttool_1', 'name' => 'web_search', 'input' => ['query' => 'Brent crude news']]],
'stop_reason' => 'pause_turn',
], 200)
->push([
'content' => [['type' => 'text', 'text' => '{"direction":"falling","confidence":60,"reasoning":"Demand fears weigh on prices."}']],
'stop_reason' => 'end_turn',
], 200),
]);
$prices = BrentPrice::orderBy('date', 'desc')->limit(30)->get();
$prediction = app(OilPriceService::class)->generateLlmPredictionWithContext($prices);
expect($prediction)->not->toBeNull()
->and($prediction->direction)->toBe(TrendDirection::Falling);
Http::assertSentCount(2);
});
it('generatePrediction falls through to ewma when both llm methods fail', function () {
config(['services.anthropic.api_key' => 'test-key']);
BrentPrice::factory()->count(20)->sequence(fn ($s) => [
'date' => now()->subDays(20 - $s->index)->toDateString(),
'price_usd' => 80.0,
])->create();
Http::fake([
'https://api.anthropic.com/*' => Http::response([], 500),
]);
$prediction = app(OilPriceService::class)->generatePrediction();
expect($prediction)->not->toBeNull()
->and($prediction->source)->toBe(PredictionSource::Ewma);
});