Decouple title from title block (#696)
* Decouple title from title block * fix lint * remove dry run for FormTitleMigration * Skip form title migration for forms with hidden titles * Refactor AI Form Generation with Dedicated Prompt Services - Extract AI form generation logic from GenerateTemplate command into dedicated prompt service classes - Update GenerateAiForm job to use new prompt generation services - Improve GptCompleter with more robust error handling and token tracking - Add error field to AiFormCompletion model for better error logging - Simplify command signature from 'ai:make-form-template' to 'form:generate' * Consolidate Template Metadata Generation with Unified Prompt Service - Create GenerateTemplateMetadataPrompt to centralize template metadata generation - Update GenerateTemplate command to use new consolidated metadata generation approach - Enhance GptCompleter to support strict JSON schema validation - Increase form prompt max length to support more complex form descriptions - Refactor form generation to simplify metadata extraction and processing * Implement Form Mode Strategy for Flexible Form Rendering - Introduce FormModeStrategy to centralize form rendering logic - Add support for different form modes: LIVE, PREVIEW, TEST, EDIT, PREFILL - Refactor components to use mode-based rendering strategy - Remove legacy boolean props like adminPreview and creating - Enhance form component flexibility and reusability * Refine Form Mode Strategy Display Behavior - Update FormModeStrategy to hide hidden fields in PREVIEW mode - Add FormMode getter in UrlFormPrefill component for mode-specific rendering - Clarify mode-specific validation and display logic in form strategies * Enhance Form Template Generation with Advanced Field Options - Update GenerateTemplate command to use front_url for template URL output - Expand GenerateFormPrompt with comprehensive field configuration options - Add support for advanced field types: date with time, toggle switches, radio/checkbox selections - Introduce field width configuration and HTML formatting for text elements - Re-enable select, multi-select, and matrix field type definitions with enhanced configurations * Remove Deprecated Template Metadata Generation Services - Delete multiple AI prompt services related to template metadata generation - Simplify GenerateTemplate command to use default values instead of complex metadata generation - Remove GenerateTemplateMetadataPrompt and related classes like GenerateTemplateDescriptionPrompt, GenerateTemplateImageKeywordsPrompt, etc. - Update form template generation to use basic fallback metadata generation approach * Restore GenerateTemplateMetadataPrompt for Comprehensive Template Generation - Reintroduce GenerateTemplateMetadataPrompt to replace default metadata generation - Update GenerateTemplate command to use consolidated metadata generation approach - Extract detailed metadata components including title, description, industries, and image search query - Improve template generation with more dynamic and AI-generated metadata * Refactor Template Preview Section Layout - Remove unnecessary nested div in template preview section - Simplify HTML structure for the template preview component - Maintain existing styling and functionality while improving code readability * Refactor Constructor and Code Formatting in AI Form Generation and Prompt Classes - Updated the constructor in GenerateAiForm.php to use a block structure for improved readability and consistency. - Added a blank line in the Prompt.php file to enhance code formatting and maintain consistency with PHP coding standards. - Modified the migration file to use a more concise class declaration syntax, improving clarity. These changes aim to enhance code readability and maintainability across the affected files. --------- Co-authored-by: Julien Nahum <julien@nahum.net>
This commit is contained in:
Chirag Chhatrala
GitHub
146
api/app/Service/AI/Prompts/Prompt.php
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146
api/app/Service/AI/Prompts/Prompt.php
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<?php
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namespace App\Service\AI\Prompts;
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use App\Service\OpenAi\GptCompleter;
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use Illuminate\Support\Facades\Log;
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use ReflectionClass;
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use ReflectionProperty;
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abstract class Prompt
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{
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protected GptCompleter $completer;
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protected ?array $jsonSchema = null;
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protected float $temperature = 0.7;
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protected int $maxTokens = 4096;
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protected string $model = 'gpt-4o';
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protected bool $useStreaming = false;
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/**
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* Static method to create and execute a prompt in one step
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*
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* @param array $args Arguments to pass to the prompt constructor
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* @return mixed The result of executing the prompt
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*/
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public static function run(...$args): mixed
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{
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$reflection = new ReflectionClass(static::class);
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$instance = $reflection->newInstanceArgs($args);
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return $instance->execute();
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}
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public function __construct()
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{
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$this->completer = new GptCompleter(null, 2, $this->model);
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}
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protected function initialize(): void
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{
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if ($this->jsonSchema) {
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$this->completer->setJsonSchema($this->jsonSchema);
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}
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if ($this->getSystemMessage()) {
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$this->completer->setSystemMessage($this->getSystemMessage());
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}
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if ($this->useStreaming) {
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$this->completer->useStreaming();
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}
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}
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/**
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* Override this method to set a custom system message
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*/
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protected function getSystemMessage(): ?string
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{
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return null;
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}
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/**
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* Must return the prompt template with placeholders
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*/
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abstract protected function getPromptTemplate(): string;
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public function getCompleter(): GptCompleter
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{
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return $this->completer;
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}
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public function execute(): mixed
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{
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$this->initialize();
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$prompt = $this->buildPrompt();
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try {
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$this->completer->completeChat(
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[['role' => 'user', 'content' => $prompt]],
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$this->maxTokens,
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$this->temperature
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);
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return $this->jsonSchema ? $this->completer->getArray() : $this->completer->getString();
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} catch (\Exception $e) {
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Log::error('Error while executing prompt', [
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'exception' => $e,
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'prompt' => $prompt,
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'json_schema' => $this->jsonSchema ?? null
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]);
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throw $e;
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}
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}
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protected function buildPrompt(): string
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{
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$template = $this->getPromptTemplate();
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$variables = $this->getPromptVariables();
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return strtr($template, $variables);
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}
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protected function getPromptVariables(): array
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{
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$variables = [];
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$reflection = new ReflectionClass($this);
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foreach ($reflection->getProperties(ReflectionProperty::IS_PUBLIC) as $property) {
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$name = $property->getName();
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$value = $property->getValue($this);
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if (is_scalar($value)) {
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$variables['{' . $name . '}'] = (string) $value;
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}
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}
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return $variables;
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}
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public function setTemperature(float $temperature): self
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{
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$this->temperature = $temperature;
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return $this;
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}
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public function setMaxTokens(int $maxTokens): self
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{
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$this->maxTokens = $maxTokens;
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return $this;
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}
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public function setGptCompleter(GptCompleter $completer): self
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{
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$this->completer = $completer;
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return $this;
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}
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public function useStreaming(): self
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{
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$this->useStreaming = true;
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return $this;
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}
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}
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