97 lines
3.8 KiB
PHP
97 lines
3.8 KiB
PHP
<?php
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namespace App\Helpers\FirstParty\OpenAI;
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use Exception;
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use Illuminate\Support\Facades\Http;
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use Illuminate\Support\Facades\Log;
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class OpenAI
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{
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public static function writeProductArticle($excerpt, $photos, $categories)
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{
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//$excerpt = substr($excerpt, 0, 1500);
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$category_str = implode("|", $categories);
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$system_prompt = '
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You are tasked with writing a comprehensive product introduction & review article using the provided excerpt. Write as if you are reviewing the product by a third party, but no pronouns.The emphasis should be on the performance, features, and notable aspects of the product. The review must not delve into marketplace-related information. Return the output in the following json format:\n\n
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{"category": "('. $category_str .')","title": "(Article Title, start with product name, 60-70 characters)","excerpt": "(One sentence summary, 150-160 characters of an article, do not use start sentence with verb.)","cliffhanger": "(One sentence 70-80 characters of article, cliff-hanging sentence to attract readers)","body": "(Markdown format, 700-900 word count)"}\n\n
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Mandatory Requirements:\n
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- Write in US grade 8-9 English\n
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- Use the following sections whenever applicable:\n
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-- ### Introduction\n
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-- ### Overview\n
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-- ### Specifications (use valid Markdown table format with header and seperator) + explanation\n
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-- ### Price (write in given local currency)\n
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-- ### (Should I Buy? | Conclusion | Final Thoughts | Our Verdict)\n
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- do not make up facts, use facts provided by excerpt only\n
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- No article titles inside markdown\n
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- All article sections use ###
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- Pick the closest given category accurately
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- Make sure JSON structure is minified and without new line
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';
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$user_prompt = "EXCERPT\n------------\n{$excerpt}\n";
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if (count($photos) > 0) {
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$system_prompt .= '- Add at least 3 markdown images with article title as caption in every section except for Introduction';
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$user_prompt .= "\n\nPHOTOS\n------------\n";
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foreach ($photos as $photo) {
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$user_prompt .= "{$photo}\n";
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}
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}
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$output = (self::chatCompletion($system_prompt, $user_prompt, 'gpt-3.5-turbo', 1500));
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// dump($user_prompt);
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// dd($output);
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if (! is_null($output)) {
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try {
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return json_decode($output, false, 512, JSON_THROW_ON_ERROR);
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} catch (Exception $e) {
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Log::error($output);
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inspector()->reportException($e);
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return null;
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}
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}
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return null;
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}
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public static function chatCompletion($system_prompt, $user_prompt, $model, $max_token = 2500)
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{
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try {
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$response = Http::timeout(800)->withToken(config('platform.ai.openai.api_key'))
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->post('https://api.openai.com/v1/chat/completions', [
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'model' => $model,
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'max_tokens' => $max_token,
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'messages' => [
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['role' => 'system', 'content' => $system_prompt],
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['role' => 'user', 'content' => $user_prompt],
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],
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]);
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//dd($response->body());
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$json_response = json_decode($response->body(), false, 512, JSON_THROW_ON_ERROR);
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$reply = $json_response?->choices[0]?->message?->content;
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return $reply;
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} catch (Exception $e) {
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Log::error($response->body());
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inspector()->reportException($e);
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throw ($e);
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}
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return null;
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}
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}
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