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