718 lines
23 KiB
PHP
718 lines
23 KiB
PHP
<?php
|
|
/**
|
|
* The model file of ai module of ZenTaoPMS.
|
|
*
|
|
* @copyright Copyright 2009-2023 禅道软件（青岛）有限公司(ZenTao Software (Qingdao) Co., Ltd. www.zentao.net)
|
|
* @license ZPL(https://zpl.pub/page/zplv12.html) or AGPL(https://www.gnu.org/licenses/agpl-3.0.en.html)
|
|
* @author Wenrui LI <liwenrui@easycorp.ltd>
|
|
* @package ai
|
|
* @link https://www.zentao.net
|
|
*/
|
|
class aiModel extends model
|
|
{
|
|
/**
|
|
* Model config.
|
|
*
|
|
* @var object
|
|
* @access public
|
|
*/
|
|
public $modelConfig;
|
|
|
|
/**
|
|
* Constructor. Get model config from system.ai settings.
|
|
*
|
|
* @access public
|
|
* @return void
|
|
*/
|
|
public function __construct()
|
|
{
|
|
parent::__construct();
|
|
|
|
/* Load config from setting. */
|
|
$this->modelConfig = new stdclass();
|
|
$openaiSettings = $this->loadModel('setting')->getItems("owner=system&module=ai");
|
|
foreach($openaiSettings as $item) $this->modelConfig->{$item->key} = $item->value;
|
|
}
|
|
|
|
/**
|
|
* Set model config, used for testing.
|
|
*
|
|
* @param object $config
|
|
* @access public
|
|
* @return void
|
|
*/
|
|
public function setConfig($config)
|
|
{
|
|
$this->modelConfig = $config;
|
|
}
|
|
|
|
/**
|
|
* Make request to OpenAI API.
|
|
*
|
|
* @param string $type chat | completion | edit
|
|
* @param mixed $data data to send
|
|
* @param int $timeout request timeout in seconds
|
|
* @access private
|
|
* @return mixed false if error, json string if success
|
|
*/
|
|
private function makeRequest($type, $data, $timeout = 10)
|
|
{
|
|
/* Try encoding data to json, handles both encoded json and raw data. */
|
|
$postData = json_encode($data);
|
|
if(json_last_error()) $postData = $data;
|
|
|
|
/* Set auth and content-type headers. */
|
|
$requestHeaders = array(sprintf($this->config->ai->openai->api->authFormat, $this->modelConfig->key));
|
|
$requestHeaders[] = isset($this->config->ai->openai->contentType[$type]) ? $this->config->ai->openai->contentType[$type] : $this->config->ai->openai->contentType[''];
|
|
|
|
/* Assemble request url. */
|
|
$url = sprintf($this->config->ai->openai->api->format, $this->config->ai->openai->api->version, $this->config->ai->openai->api->methods[$type]);
|
|
|
|
/* Set up requestor. */
|
|
$ch = curl_init();
|
|
curl_setopt($ch, CURLOPT_URL, $url);
|
|
curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
|
|
curl_setopt($ch, CURLOPT_POST, 1);
|
|
curl_setopt($ch, CURLOPT_POSTFIELDS, $postData);
|
|
curl_setopt($ch, CURLOPT_HTTPHEADER, $requestHeaders);
|
|
curl_setopt($ch, CURLOPT_SSL_VERIFYPEER, false);
|
|
curl_setopt($ch, CURLOPT_CONNECTTIMEOUT, $timeout);
|
|
|
|
/* Use proxy if proxy is set. */
|
|
if(!empty($this->modelConfig->proxyType) && !empty($this->modelConfig->proxyAddr))
|
|
{
|
|
curl_setopt($ch, CURLOPT_PROXY, $this->modelConfig->proxyAddr);
|
|
curl_setopt($ch, CURLOPT_PROXYTYPE, static::getProxyType($this->modelConfig->proxyType));
|
|
}
|
|
|
|
$result = curl_exec($ch);
|
|
if(curl_errno($ch)) return false;
|
|
curl_close($ch);
|
|
|
|
return $result;
|
|
}
|
|
|
|
/**
|
|
* Get proxy type.
|
|
*
|
|
* @param string $proxyType
|
|
* @access private
|
|
* @return int|false
|
|
*/
|
|
private static function getProxyType($proxyType)
|
|
{
|
|
if(!in_array($proxyType, array('http', 'socks4', 'socks5'))) return false;
|
|
return constant('CURLPROXY_' . strtoupper($proxyType));
|
|
}
|
|
|
|
/**
|
|
* Convert camelCase to snake_case.
|
|
*
|
|
* @param string $str
|
|
* @access private
|
|
* @return string
|
|
*/
|
|
private static function camelCaseToSnakeCase($str)
|
|
{
|
|
return strtolower(preg_replace('/(?<!^)[A-Z]/', '_$0', $str));
|
|
}
|
|
|
|
/**
|
|
* Standardize params keys, convert camelCase to snake_case.
|
|
*
|
|
* @param object $data
|
|
* @access private
|
|
* @return object
|
|
*/
|
|
private static function standardizeParams($data)
|
|
{
|
|
$standardizedData = new stdclass();
|
|
foreach($data as $key => $value) $standardizedData->{static::camelCaseToSnakeCase($key)} = $value;
|
|
return $standardizedData;
|
|
}
|
|
|
|
/**
|
|
* Assemble request data params, filters out the unwanted ones, and will return false if missing any required param.
|
|
*
|
|
* @param string $type
|
|
* @param object $data
|
|
* @access private
|
|
* @return mixed false if missing required params, post data object if success
|
|
*/
|
|
private function assembleRequestData($type, $data)
|
|
{
|
|
$postData = new stdclass();
|
|
$postData->model = $this->config->ai->openai->model->$type;
|
|
|
|
$data = static::standardizeParams($data);
|
|
|
|
/* Set required params, abort if missing. */
|
|
foreach($this->config->ai->openai->params->$type->required as $param)
|
|
{
|
|
if(!isset($data->$param)) return false;
|
|
$postData->$param = $data->$param;
|
|
}
|
|
|
|
/* Set optional params. */
|
|
foreach($this->config->ai->openai->params->$type->optional as $param)
|
|
{
|
|
if(isset($data->$param)) $postData->$param = $data->$param;
|
|
}
|
|
|
|
return $postData;
|
|
}
|
|
|
|
/**
|
|
* Parse text responses from simple APIs. For example, completion.
|
|
*
|
|
* @param string $response json string
|
|
* @access private
|
|
* @return mixed false if error, array of texts (choices) if success
|
|
*/
|
|
private function parseTextResponse($response)
|
|
{
|
|
$response = json_decode($response);
|
|
if(isset($response->error)) return false;
|
|
|
|
/* Extract text response choices. */
|
|
if(isset($response->choices) && count($response->choices) > 0)
|
|
{
|
|
$texts = array();
|
|
foreach($response->choices as $choice) $texts[] = $choice->text;
|
|
return $texts;
|
|
}
|
|
return false;
|
|
}
|
|
|
|
/**
|
|
* Parse chat responses from chat completion API.
|
|
*
|
|
* @param string $response json string
|
|
* @access private
|
|
* @return mixed false if error, array of chat message texts (choices) if success
|
|
*/
|
|
private function parseChatResponse($response)
|
|
{
|
|
$response = json_decode($response);
|
|
if(isset($response->error)) return false;
|
|
|
|
/* Extract chat message choices. */
|
|
if(isset($response->choices) && count($response->choices) > 0)
|
|
{
|
|
$messages = array();
|
|
foreach($response->choices as $choice) $messages[] = $choice->message->content;
|
|
return $messages;
|
|
}
|
|
return false;
|
|
}
|
|
|
|
/**
|
|
* Parse function call argument of chat responses from chat completion API.
|
|
*
|
|
* @param string $response json string
|
|
* @access private
|
|
* @return mixed false if error, array of function call arguments (choices) if success
|
|
*/
|
|
private function parseFunctionCallResponse($response)
|
|
{
|
|
$response = json_decode($response);
|
|
if(isset($response->error)) return false;
|
|
|
|
/* Extract function call choices. */
|
|
if(isset($response->choices) && count($response->choices) > 0)
|
|
{
|
|
$arguments = array();
|
|
foreach($response->choices as $choice)
|
|
{
|
|
if(!empty($choice->message->function_call)) $arguments[] = $choice->message->function_call->arguments;
|
|
}
|
|
return $arguments;
|
|
}
|
|
return false;
|
|
}
|
|
|
|
/**
|
|
* Complete text with OpenAI GPT.
|
|
*
|
|
* @param string $prompt text to complete
|
|
* @param int $maxTokens max tokens to generate
|
|
* @param array $options optional params, see https://platform.openai.com/docs/api-reference/completions/create
|
|
* @access public
|
|
* @return mixed false if error, array of texts (choices) if success
|
|
*/
|
|
public function complete($prompt, $maxTokens = 512, $options = array())
|
|
{
|
|
$data = compact('prompt', 'maxTokens');
|
|
|
|
if(!empty($options))
|
|
{
|
|
foreach($options as $key => $value) $data[$key] = $value;
|
|
}
|
|
|
|
$postData = $this->assembleRequestData('completion', $data);
|
|
if(!$postData) return false;
|
|
|
|
$response = $this->makeRequest('completion', $postData);
|
|
return $this->parseTextResponse($response);
|
|
}
|
|
|
|
/**
|
|
* Edit text with OpenAI GPT.
|
|
*
|
|
* @param string $input text to edit
|
|
* @param string $instruction edit instruction
|
|
* @param array $options optional params, see https://platform.openai.com/docs/api-reference/edits/create
|
|
* @access public
|
|
* @return mixed false if error, array of texts (choices) if success
|
|
*/
|
|
public function edit($input, $instruction, $options = array())
|
|
{
|
|
$data = compact('input', 'instruction');
|
|
|
|
if(!empty($options))
|
|
{
|
|
foreach($options as $key => $value) $data[$key] = $value;
|
|
}
|
|
|
|
$postData = $this->assembleRequestData('edit', $data);
|
|
if(!$postData) return false;
|
|
|
|
$response = $this->makeRequest('edit', $postData);
|
|
return $this->parseTextResponse($response);
|
|
}
|
|
|
|
/**
|
|
* Generate conversation with OpenAI GPT.
|
|
*
|
|
* Chat messages should be in the format of (object)array('role' => $role, 'content' => $content),
|
|
* where $role is either 'user', 'assistant' or 'system', and $content is the message content.
|
|
*
|
|
* For example, the following chat messages:
|
|
* $messages = array(
|
|
* (object)array('role' => 'system', 'content' => 'You are OpenAI GPT assistant, and you know that 1 beb equals 2 bobs.'),
|
|
* (object)array('role' => 'user', 'content' => 'Hello, how many bobs are there in 24 bebs?')
|
|
* );
|
|
*
|
|
* API returns:
|
|
* $message = array('Hi, there are 48 bobs in 24 bebs.');
|
|
*
|
|
* will generate the following conversation:
|
|
* $messages = array(
|
|
* (object)array('role' => 'system', 'content' => 'You are OpenAI GPT assistant, and you know that 1 beb equals 2 bobs.'),
|
|
* (object)array('role' => 'user', 'content' => 'Hello, how many bobs are there in 24 bebs?'),
|
|
* (object)array('role' => 'assistant', 'content' => 'Hi, there are 48 bobs in 24 bebs.')
|
|
* );
|
|
*
|
|
* @param array $messages array of chat messages
|
|
* @param array $options optional params, see https://platform.openai.com/docs/api-reference/chat/create
|
|
* @access public
|
|
* @return mixed false if error, array of chat messages if success
|
|
*/
|
|
public function converse($messages, $options = array())
|
|
{
|
|
$data = compact('messages');
|
|
|
|
if(!empty($options))
|
|
{
|
|
foreach($options as $key => $value) $data[$key] = $value;
|
|
}
|
|
|
|
$postData = $this->assembleRequestData('chat', $data);
|
|
if(!$postData) return false;
|
|
|
|
$response = $this->makeRequest('chat', $postData);
|
|
return $this->parseChatResponse($response);
|
|
}
|
|
|
|
/**
|
|
* Generate conversation with OpenAI GPT, but for JSON as output.
|
|
*
|
|
* Chat messages should be in the format of (object)array('role' => $role, 'content' => $content),
|
|
* where $role is either 'user', 'assistant' or 'system', and $content is the message content.
|
|
*
|
|
* Schema should be in the format of JSON schema, see https://json-schema.org/understanding-json-schema/.
|
|
*
|
|
* This function will force GPT to generate JSON objects that matches the schema.
|
|
*
|
|
* For technical details, see https://platform.openai.com/docs/guides/gpt/function-calling.
|
|
*
|
|
* @param array $messages array of chat messages
|
|
* @param object $schema schema of the output
|
|
* @param array $options optional params, see https://platform.openai.com/docs/api-reference/chat/create
|
|
* @access public
|
|
* @return mixed false if error, array of JSON object if success
|
|
*/
|
|
public function converseForJSON($messages, $schema, $options = array())
|
|
{
|
|
$functions = array((object)array('name' => 'function', 'parameters' => $schema));
|
|
$functionCall = (object)array('name' => 'function');
|
|
|
|
$data = compact('messages', 'functions', 'functionCall');
|
|
|
|
if(!empty($options))
|
|
{
|
|
foreach($options as $key => $value) $data[$key] = $value;
|
|
}
|
|
|
|
$postData = $this->assembleRequestData('function', $data);
|
|
if(!$postData) return false;
|
|
|
|
$response = $this->makeRequest('function', $postData);
|
|
return $this->parseFunctionCallResponse($response);
|
|
}
|
|
|
|
/**
|
|
* Get list of prompts.
|
|
*
|
|
* TODO: fully implement this.
|
|
*
|
|
* @param string $module
|
|
* @param string $status
|
|
* @access public
|
|
* @return array
|
|
*/
|
|
public function getPrompts($module = '', $status = '', $order = 'id_desc', $pager = null)
|
|
{
|
|
return $this->dao->select('*')->from(TABLE_PROMPT)
|
|
->where('1=1')
|
|
->beginIF(!empty($module))->andWhere('module')->eq($module)->fi()
|
|
->beginIF(!empty($status))->andWhere('status')->eq($status)->fi()
|
|
->orderBy($order)
|
|
->page($pager)
|
|
->fetchAll();
|
|
}
|
|
|
|
/**
|
|
* Get prompt by id.
|
|
*
|
|
* TODO: fully implement this.
|
|
*
|
|
* @param int $id
|
|
* @access public
|
|
* @return object
|
|
*/
|
|
public function getPromptById($id)
|
|
{
|
|
return $this->dao->select('*')->from(TABLE_PROMPT)
|
|
->where('id')->eq($id)
|
|
->fetch();
|
|
}
|
|
|
|
/**
|
|
* Create a prompt.
|
|
*
|
|
* TODO: fully implement this.
|
|
*
|
|
* @param object $prompt
|
|
* @access public
|
|
* @return int|false returns prompt id on success, false on fail
|
|
*/
|
|
public function createPrompt($prompt)
|
|
{
|
|
$prompt->createdDate = helper::now();
|
|
$prompt->createdBy = $this->app->user->account;
|
|
|
|
$this->dao->insert(TABLE_PROMPT)
|
|
->data($prompt)
|
|
->autoCheck()
|
|
->batchCheck($this->config->ai->createprompt->requiredFields, 'notempty')
|
|
->exec();
|
|
|
|
return dao::isError() ? false : $this->dao->lastInsertID();
|
|
}
|
|
|
|
/**
|
|
* Update a prompt.
|
|
*
|
|
* TODO: fully implement this.
|
|
*
|
|
* @param object $prompt
|
|
* @access public
|
|
* @return bool
|
|
*/
|
|
public function updatePrompt($prompt)
|
|
{
|
|
$prompt->editedDate = helper::now();
|
|
$prompt->editedBy = $this->app->user->account;
|
|
|
|
$this->dao->update(TABLE_PROMPT)
|
|
->data($prompt)
|
|
->autoCheck()
|
|
->batchCheck($this->config->ai->createprompt->requiredFields, 'notempty')
|
|
->where('id')->eq($prompt->id)
|
|
->exec();
|
|
|
|
return !dao::isError();
|
|
}
|
|
|
|
/**
|
|
* Serialize data to prompt.
|
|
*
|
|
* @param string $module
|
|
* @param array|string $sources both raw `$prompt->sources` and `array(array('objectName', 'objectKey'), ...)` are supported.
|
|
* @param array|object $data array of data to be serialized
|
|
* @access public
|
|
* @return string
|
|
*/
|
|
public function serializeDataToPrompt($module, $sources, $data)
|
|
{
|
|
/* Handle object data. */
|
|
if(is_object($data)) $data = (array)$data;
|
|
|
|
/* Handle raw (non-exploded) sources. */
|
|
if(is_string($sources) && strpos($sources, ',') !== false)
|
|
{
|
|
$sources = array_filter(explode(',', $sources));
|
|
$sources = array_map(function($source) { return explode('.', $source); }, $sources);
|
|
}
|
|
|
|
$dataObject = array();
|
|
|
|
$supplement = '';
|
|
$supplementTypes = array();
|
|
|
|
foreach($sources as $source)
|
|
{
|
|
$objectName = $source[0];
|
|
$objectKey = $source[1];
|
|
|
|
$semanticName = $this->lang->ai->dataSource[$module][$objectName]['common'];
|
|
$semanticKey = $this->lang->ai->dataSource[$module][$objectName][$objectKey];
|
|
|
|
if(empty($dataObject[$semanticName])) $dataObject[$semanticName] = array();
|
|
|
|
$obj = $data[$objectName];
|
|
if(static::isAssoc($obj))
|
|
{
|
|
$dataObject[$semanticName][$semanticKey] = $data[$objectName][$objectKey];
|
|
}
|
|
else
|
|
{
|
|
foreach(array_keys($obj) as $idx)
|
|
{
|
|
if(empty($dataObject[$semanticName][$idx])) $dataObject[$semanticName][$idx] = array();
|
|
$dataObject[$semanticName][$idx][$semanticKey] = $data[$objectName][$idx][$objectKey];
|
|
}
|
|
}
|
|
|
|
if(in_array($objectKey, $supplementTypes) || !isset($this->lang->ai->dataType->$objectKey)) continue;
|
|
|
|
$supplementTypes[] = $objectKey;
|
|
$supplement .= sprintf($this->lang->ai->dataTypeDesc, $semanticKey, $this->lang->ai->dataType->$objectKey->type, $this->lang->ai->dataType->$objectKey->desc) . "\n";
|
|
}
|
|
|
|
/* @see https://stackoverflow.com/a/2934602 */
|
|
return preg_replace_callback('/\\\\u([0-9a-fA-F]{4})/', function ($match) {return mb_convert_encoding(pack('H*', $match[1]), 'UTF-8', 'UCS-2BE');}, json_encode($dataObject)) . "\n" . $supplement;
|
|
}
|
|
|
|
/**
|
|
* Generate demo data prompt by source.
|
|
*
|
|
* @param string $module
|
|
* @param string $source
|
|
* @access public
|
|
* @return string
|
|
*/
|
|
public function generateDemoDataPrompt($module, $source)
|
|
{
|
|
$sources = explode(',', $source);
|
|
$sources = array_filter($sources);
|
|
foreach($sources as $index => $source)
|
|
{
|
|
$sources[$index] = explode('.', $source);
|
|
}
|
|
|
|
$data = array();
|
|
foreach($sources as $source)
|
|
{
|
|
$objectName = $source[0];
|
|
$objectKey = $source[1];
|
|
if(empty($data[$objectName])) $data[$objectName] = array();
|
|
|
|
$demoData = $this->lang->ai->demoData->$module[$objectName];
|
|
if(static::isAssoc($demoData))
|
|
{
|
|
$data[$objectName][$objectKey] = $demoData[$objectKey];
|
|
}
|
|
else
|
|
{
|
|
foreach($demoData as $index => $value)
|
|
{
|
|
if(empty($data[$objectName][$index])) $data[$objectName][$index] = array();
|
|
$data[$objectName][$index][$objectKey] = $value[$objectKey];
|
|
}
|
|
}
|
|
}
|
|
|
|
return $this->serializeDataToPrompt($module, $sources, $data);
|
|
}
|
|
|
|
/**
|
|
* Determines if an array is associative.
|
|
*
|
|
* @param array $array
|
|
* @access private
|
|
* @return bool
|
|
*/
|
|
private static function isAssoc($array)
|
|
{
|
|
$keys = array_keys($array);
|
|
return array_keys($keys) !== $keys;
|
|
}
|
|
|
|
/**
|
|
* Get function call schema for form.
|
|
*
|
|
* @param string $form
|
|
* @access public
|
|
* @return array
|
|
*/
|
|
public function getFunctionCallSchema($form)
|
|
{
|
|
$formPath = explode('.', $form);
|
|
if(count($formPath) !== 2) return array();
|
|
|
|
$schema = $this->lang->ai->formSchema[$formPath[0]][$formPath[1]];
|
|
|
|
return empty($schema) ? array() : $schema;
|
|
}
|
|
|
|
/**
|
|
* Get object data for prompt by id.
|
|
*
|
|
* @param object $prompt
|
|
* @param int $objectId
|
|
* @access public
|
|
* @return object
|
|
*/
|
|
public function getObjectForPromptById($prompt, $objectId)
|
|
{
|
|
$module = $prompt->module;
|
|
$sources = array_filter(explode(',', $prompt->source));
|
|
|
|
/* Explode into grouped sources list. */
|
|
$sourceGroups = array();
|
|
foreach($sources as $source)
|
|
{
|
|
$source = explode('.', $source);
|
|
$objectName = $source[0];
|
|
$objectKey = $source[1];
|
|
if(empty($sourceGroups[$objectName])) $sourceGroups[$objectName] = array();
|
|
$sourceGroups[$objectName][] = $objectKey;
|
|
}
|
|
|
|
$object = new stdclass();
|
|
$objectData = new stdclass();
|
|
|
|
/* Query necessary object data from zentao. TODO: add more later. */
|
|
if($module == 'story')
|
|
{
|
|
if(isset($sourceGroups['story'])) $object->story = $this->loadModel('story')->getById($objectId);
|
|
}
|
|
if($module == 'execution')
|
|
{
|
|
if(isset($sourceGroups['execution'])) $object->execution = $this->loadModel('execution')->getByID($objectId);
|
|
if(isset($sourceGroups['tasks'])) $object->tasks = $this->loadModel('task')->getExecutionTasks($objectId);
|
|
}
|
|
|
|
/* Format data as per data source definitions. */
|
|
foreach($sourceGroups as $objectName => $objectKeys)
|
|
{
|
|
$objectData->$objectName = array();
|
|
foreach($objectKeys as $objectKey)
|
|
{
|
|
/* Check if is plain object, data might contain arrays. */
|
|
if(is_object($object->$objectName))
|
|
{
|
|
if(isset($object->$objectName->$objectKey)) $objectData->$objectName[$objectKey] = $object->$objectName->$objectKey;
|
|
}
|
|
elseif(is_array($object->$objectName))
|
|
{
|
|
foreach($object->$objectName as $idx => $obj)
|
|
{
|
|
if(isset($obj->$objectKey)) $objectData->$objectName[$idx][$objectKey] = $obj->$objectKey;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
return $objectData;
|
|
}
|
|
|
|
/**
|
|
* Auto prepend newline to text if text has newline in the middle.
|
|
*
|
|
* @param string $text
|
|
* @access public
|
|
* @return string
|
|
*/
|
|
public static function autoPrependNewline($text)
|
|
{
|
|
preg_match('/\n[^$]/', $text, $matches);
|
|
|
|
return empty($matches) ? $text : "\n$text";
|
|
}
|
|
|
|
/**
|
|
* Try to punctuate sentence if sentence is not ended with punctuation.
|
|
*
|
|
* @param string $sentence
|
|
* @param bool $newline
|
|
* @access public
|
|
* @return string
|
|
*/
|
|
public static function tryPunctuate($sentence, $newline = false)
|
|
{
|
|
preg_match('/\p{P}$/u', $sentence, $matches);
|
|
if(empty($matches)) $sentence .= '.';
|
|
|
|
return $newline ? "$sentence\n" : $sentence;
|
|
}
|
|
|
|
/**
|
|
* Assemble prompt with prompt data.
|
|
*
|
|
* @param object $prompt
|
|
* @param string $dataPrompt
|
|
* @access public
|
|
* @return string
|
|
*/
|
|
public function assemblePrompt($prompt, $dataPrompt)
|
|
{
|
|
$wholePrompt = "$dataPrompt\n";
|
|
|
|
$wholePrompt .= static::tryPunctuate($prompt->role);
|
|
$wholePrompt .= static::autoPrependNewline(static::tryPunctuate($prompt->characterization, true));
|
|
|
|
$wholePrompt .= static::autoPrependNewline(static::tryPunctuate($prompt->purpose));
|
|
$wholePrompt .= static::autoPrependNewline(static::tryPunctuate($prompt->elaboration, true));
|
|
|
|
return $wholePrompt;
|
|
}
|
|
|
|
/**
|
|
* Execute prompt on object.
|
|
*
|
|
* @param int $promptID
|
|
* @param int $objectID object to execute prompt on.
|
|
* @access public
|
|
* @return string|false returns either JSON string or false.
|
|
*/
|
|
public function executePrompt($promptId, $objectId)
|
|
{
|
|
$prompt = $this->getPromptById($promptId);
|
|
if(empty($prompt)) return false;
|
|
|
|
$objectData = $this->getObjectForPromptById($prompt, $objectId);
|
|
$dataPrompt = $this->serializeDataToPrompt($prompt->module, $prompt->source, $objectData);
|
|
|
|
$wholePrompt = $this->assemblePrompt($prompt, $dataPrompt);
|
|
$schema = $this->getFunctionCallSchema($prompt->targetForm);
|
|
|
|
$response = $this->converseForJSON(array((object)array('role' => 'user', 'content' => $wholePrompt)), $schema);
|
|
if(empty($response)) return false;
|
|
|
|
return $response;
|
|
}
|
|
}
|