5171f93a93
- Introduced `Groq_AI_Provider_Google` and `Groq_AI_Provider_Groq` classes for handling AI interactions with Google and Groq respectively. - Enhanced `Groq_AI_Provider_Manager` to register and manage multiple AI providers. - Implemented `Groq_AI_Conversation_Manager` for managing conversation IDs and context hashes. - Added `Groq_AI_Generation_Logger` for logging AI generation events and managing log tables. - Developed `Groq_AI_Prompt_Builder` for constructing prompts and processing AI responses. - Established `Groq_AI_Settings_Manager` for managing plugin settings, including context fields and module configurations.
159 lines
4.0 KiB
PHP
159 lines
4.0 KiB
PHP
<?php
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class Groq_AI_Provider_Google implements Groq_AI_Provider_Interface {
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public function get_key() {
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return 'google';
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}
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public function get_label() {
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return __( 'Google AI (Gemini)', 'groq-ai-product-text' );
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}
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public function get_default_model() {
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return 'gemini-1.5-flash';
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}
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public function get_available_models() {
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return [
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'gemini-1.5-flash',
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'gemini-1.5-pro',
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'gemini-pro',
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];
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}
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public function get_option_key() {
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return 'google_api_key';
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}
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public function supports_live_models() {
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return true;
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}
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public function supports_response_format() {
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return false;
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}
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public function fetch_live_models( $api_key ) {
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$endpoint = add_query_arg(
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[ 'key' => $api_key, 'pageSize' => 100 ],
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'https://generativelanguage.googleapis.com/v1beta/models'
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);
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$response = wp_remote_get(
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$endpoint,
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[
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'timeout' => 20,
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]
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);
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if ( is_wp_error( $response ) ) {
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return $response;
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}
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$body = json_decode( wp_remote_retrieve_body( $response ), true );
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if ( isset( $body['error']['message'] ) ) {
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return new WP_Error( 'groq_ai_provider_error', (string) $body['error']['message'] );
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}
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if ( empty( $body['models'] ) || ! is_array( $body['models'] ) ) {
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return new WP_Error( 'groq_ai_empty_response', __( 'Geen modeldata ontvangen.', 'groq-ai-product-text' ) );
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}
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$models = [];
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foreach ( $body['models'] as $model ) {
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if ( ! empty( $model['name'] ) ) {
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$parts = explode( '/', $model['name'] );
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$models[] = sanitize_text_field( end( $parts ) );
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}
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}
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if ( empty( $models ) ) {
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return new WP_Error( 'groq_ai_empty_response', __( 'Geen modeldata ontvangen.', 'groq-ai-product-text' ) );
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}
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return $models;
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}
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public function generate_content( array $args ) {
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$settings = isset( $args['settings'] ) ? (array) $args['settings'] : [];
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$prompt = isset( $args['prompt'] ) ? $args['prompt'] : '';
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$system_prompt = isset( $args['system_prompt'] ) ? $args['system_prompt'] : '';
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$model = ! empty( $args['model'] ) ? $args['model'] : $this->get_default_model();
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$api_key = isset( $settings[ $this->get_option_key() ] ) ? $settings[ $this->get_option_key() ] : '';
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if ( empty( $api_key ) ) {
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return new WP_Error( 'groq_ai_missing_api_key', sprintf( __( 'Stel eerst de API-sleutel voor %s in.', 'groq-ai-product-text' ), $this->get_label() ) );
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}
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$endpoint = add_query_arg(
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'key',
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$api_key,
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sprintf( 'https://generativelanguage.googleapis.com/v1beta/models/%s:generateContent', rawurlencode( $model ) )
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);
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$payload = [
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'contents' => [
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[
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'role' => 'user',
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'parts' => [
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[
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'text' => $system_prompt . "\n\n" . $prompt,
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],
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],
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],
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],
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'generationConfig' => [
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'temperature' => isset( $args['temperature'] ) ? (float) $args['temperature'] : 0.7,
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'maxOutputTokens' => 1024,
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],
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];
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$response = wp_remote_post(
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$endpoint,
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[
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'headers' => [
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'Content-Type' => 'application/json',
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],
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'body' => wp_json_encode( $payload ),
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'timeout' => isset( $args['timeout'] ) ? (int) $args['timeout'] : 60,
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]
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);
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if ( is_wp_error( $response ) ) {
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return $response;
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}
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$body = json_decode( wp_remote_retrieve_body( $response ), true );
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if ( isset( $body['error']['message'] ) ) {
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return new WP_Error( 'groq_ai_provider_error', (string) $body['error']['message'] );
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}
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if ( empty( $body['candidates'][0]['content']['parts'] ) ) {
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return new WP_Error(
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'groq_ai_empty_response',
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sprintf( __( 'Geen antwoord ontvangen van %s.', 'groq-ai-product-text' ), $this->get_label() )
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);
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}
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$parts = $body['candidates'][0]['content']['parts'];
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$texts = [];
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foreach ( $parts as $part ) {
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if ( isset( $part['text'] ) ) {
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$texts[] = $part['text'];
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}
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}
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$content = trim( implode( "\n\n", array_filter( $texts ) ) );
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$usage = isset( $body['usageMetadata'] ) && is_array( $body['usageMetadata'] ) ? $body['usageMetadata'] : [];
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return [
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'content' => $content,
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'usage' => $usage,
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'raw_response' => $body,
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];
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}
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}
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