<?php

declare(strict_types=1);

namespace App\Domain\Ai;

use App\Contracts\LlmProvider;
use App\Settings\AiSettings;
use Illuminate\Support\Facades\Http;
use RuntimeException;

class OpenAiCompatibleLlmProvider implements LlmProvider
{
    public function __construct(
        protected AiSettings $settings,
    ) {}

    public function complete(string $prompt, array $context = []): array
    {
        $response = $this->request([
            'model' => $this->settings->model ?? 'gpt-4o-mini',
            'messages' => [
                [
                    'role' => 'system',
                    'content' => 'You optimize blog article content. Respond with JSON containing summary (string) and suggestions (array of strings).',
                ],
                [
                    'role' => 'user',
                    'content' => $prompt,
                ],
            ],
            'response_format' => ['type' => 'json_object'],
        ]);

        $content = data_get($response, 'choices.0.message.content');

        if (! is_string($content)) {
            throw new RuntimeException('LLM completion response missing content.');
        }

        $decoded = json_decode($content, true);

        if (! is_array($decoded)) {
            throw new RuntimeException('LLM completion response is not valid JSON.');
        }

        return [
            'summary' => (string) ($decoded['summary'] ?? ''),
            'suggestions' => array_values($decoded['suggestions'] ?? []),
        ];
    }

    public function moderate(string $content): array
    {
        $response = $this->request([
            'model' => $this->settings->model ?? 'gpt-4o-mini',
            'messages' => [
                [
                    'role' => 'system',
                    'content' => 'Moderate blog comments. Respond with JSON: {"status":"approved|rejected|needs_human","reason":"..."}',
                ],
                [
                    'role' => 'user',
                    'content' => $content,
                ],
            ],
            'response_format' => ['type' => 'json_object'],
        ]);

        $payload = data_get($response, 'choices.0.message.content');
        $decoded = is_string($payload) ? json_decode($payload, true) : null;

        if (! is_array($decoded) || ! isset($decoded['status'])) {
            return [
                'status' => 'needs_human',
                'reason' => 'Unable to parse moderation response.',
            ];
        }

        return [
            'status' => (string) $decoded['status'],
            'reason' => isset($decoded['reason']) ? (string) $decoded['reason'] : null,
        ];
    }

    /**
     * @param  array<string, mixed>  $payload
     * @return array<string, mixed>
     */
    protected function request(array $payload): array
    {
        $baseUrl = rtrim($this->settings->api_base_url ?? 'https://api.openai.com/v1', '/');

        $response = Http::withToken($this->settings->api_key ?? '')
            ->acceptJson()
            ->timeout(60)
            ->post("{$baseUrl}/chat/completions", $payload)
            ->throw()
            ->json();

        if (! is_array($response)) {
            throw new RuntimeException('LLM provider returned an invalid response.');
        }

        return $response;
    }
}