{
 "cells": [
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-05-29T15:48:57.931756300Z",
     "start_time": "2026-05-29T15:48:57.916754100Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import warnings\n",
    "import logging\n",
    "\n",
    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
    "\n",
    "for logger_name in (\"groq\", \"groq._base_client\", \"httpx\", \"httpcore\"):\n",
    "    logging.getLogger(logger_name).setLevel(logging.WARNING)"
   ],
   "id": "31557a091f494448",
   "outputs": [],
   "execution_count": 1
  },
  {
   "cell_type": "markdown",
   "id": "5279e90c",
   "metadata": {},
   "source": [
    "# Textual Models\n",
    "\n",
    "This tutorial will go through the steps necessary to define a model using the support of an LLM which analyzes a textual description of the process and extracts constraints and actions."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ab8697f",
   "metadata": {},
   "source": [
    "## The `TextualModel` class\n",
    "\n",
    "The `Declare4Py.ProcessModels.TextualModel` class is responsible for handaling the interaction with the LLM.\n",
    "\n",
    "It methods utilities for importing a textual description of the model as `.txt` file, retriving constraints and actions of the process, exporting the result in a `.decl` format.\n",
    "\n",
    "We show how to instantiate a `TextualModel`, notice that the the *textual description of the process* is required.\n",
    "The *textual description* can be directly written in the initialization parameter or later on uploaded froma textual file using the `parse_form_file` method."
   ]
  },
  {
   "cell_type": "code",
   "id": "1c66e435",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-05-29T15:48:59.875829700Z",
     "start_time": "2026-05-29T15:48:57.932756700Z"
    }
   },
   "source": [
    "from Declare4Py.ProcessModels.TextualModel import TextualModel"
   ],
   "outputs": [],
   "execution_count": 2
  },
  {
   "cell_type": "code",
   "id": "f216d5fe",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-05-29T15:48:59.922361500Z",
     "start_time": "2026-05-29T15:48:59.907330400Z"
    }
   },
   "source": [
    "# Model generated loading the description from a string\n",
    "\n",
    "process_description = \"\"\n",
    "description_filepath = \"../../../tests/textual_models/process_descriptions/process1.txt\"\n",
    "\n",
    "with open(description_filepath, 'r') as file:\n",
    "    process_description = file.read()\n",
    "\n",
    "text_model = TextualModel(textual_description = process_description)"
   ],
   "outputs": [],
   "execution_count": 3
  },
  {
   "cell_type": "code",
   "id": "cff79e12",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-05-29T15:48:59.939044500Z",
     "start_time": "2026-05-29T15:48:59.923359900Z"
    }
   },
   "source": [
    "# Model generated loading the description from a file\n",
    "\n",
    "description_filepath = \"../../../tests/textual_models/process_descriptions/process2.txt\"\n",
    "\n",
    "text_model_ff = TextualModel(textual_description = \"\")\n",
    "text_model_ff.parse_form_file(description_filepath)"
   ],
   "outputs": [],
   "execution_count": 4
  },
  {
   "cell_type": "markdown",
   "id": "bd50408c",
   "metadata": {},
   "source": [
    "These models will later in this tutorial, be used to show the capabilites to the LLM extraction."
   ]
  },
  {
   "attachments": {
    "image-2.png": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "4f167746",
   "metadata": {},
   "source": [
    "Before proceding with the AI analysis it is important to set up an API key.\n",
    "\n",
    "The code utilies a Groq object, to set up your **API key** complete the following steps:\n",
    "1. Log in in *Groq Cloud* here: https://console.groq.com/\n",
    "2. Using the top menu move to the *API Keys* page\n",
    "![image.png](attachment:image.png)\n",
    "3. With the help of the *Create API Key* button create you personal API Key by choosing the display name\n",
    "![image-2.png](attachment:image-2.png)\n",
    "4. Save your key somewhere safe! (Later on you will be unable to see it)\n",
    "5. Create a `.env` file in the project root and add your key like this:\n",
    "   ```text\n",
    "   GROQ_API_KEY=your_groq_api_key_here\n",
    "   ```\n",
    "6. Load the key from the `.env` file and pass `API_KEY` as parameter in the `to_decl` method call\n",
    "\n",
    "Now you are all set and can procede."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62201e55",
   "metadata": {},
   "source": [
    "The notebook loads the Groq API key from your local `.env` file. Do not write API keys directly in notebook cells, because notebooks are often committed or shared."
   ]
  },
  {
   "cell_type": "code",
   "id": "4204b386",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-05-29T15:48:59.953409800Z",
     "start_time": "2026-05-29T15:48:59.939044500Z"
    }
   },
   "source": [
    "from dotenv import load_dotenv\n",
    "import os\n",
    "\n",
    "load_dotenv()\n",
    "\n",
    "API_KEY = os.getenv(\"GROQ_API_KEY\")\n",
    "if not API_KEY:\n",
    "    raise ValueError(\"Create a .env file with GROQ_API_KEY=your_groq_api_key_here or set GROQ_API_KEY in your environment.\")"
   ],
   "outputs": [],
   "execution_count": 5
  },
  {
   "cell_type": "markdown",
   "id": "78319aab",
   "metadata": {},
   "source": [
    "### The `to_decl` method\n",
    "\n",
    "Once the object has been initialized and the API key set up, we can procede with the **AI analysis**.\n",
    "The method signatures identifies *two paramethers*, both optional:\n",
    "- `interactive`: is a boolean value which identifies weather or not the chat will be interactive with the user or not.\n",
    "- `llm_model`: is a string variable which identifies the exact model of the LLM, by default it uses the *llama-4-scout*, if the user try to use an model which does not exists or is incorrect and error will be trown.\n",
    "- `api_key`: is a string variable which is used to set up the environment variable for the Groq's API key, if the key is invalid the error will be handled."
   ]
  },
  {
   "attachments": {
    "image-2.png": {
     "image/png": 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"
    },
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "54ccf734",
   "metadata": {},
   "source": [
    "If you are looking for the correct **model name** you can use the *Groq Playground* page within the Groq Cloud, where you can simulate a chat with the LLM and retive a sample code for it.\n",
    "Once in the *Groq Playground* page, select the *studio mode*, pick python as progmming language and choose your preferred LLM    \n",
    "![image-2.png](attachment:image-2.png)  \n",
    "From the sample code, copy the *model name* and use it as input parameter for the method.    \n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d04c87cd",
   "metadata": {},
   "source": [
    "The method `to_decl` return a model loaded from the `.decl` file produced by the extraction of constraints and activities from the final AI response"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9cf3125f",
   "metadata": {},
   "source": [
    "This method utilies multiple support methods to handle the process from the interaction with the LLM to the extraction of constraints and activities to their parsing to respect the `.decl` syntax."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9e09892",
   "metadata": {},
   "source": [
    "To better understand the whole process here is a step by step execution explained:\n",
    "1. The first thing to do, even before running the code, is *setting the API key*\n",
    "2. Once the value have been set the model is checked\n",
    "3. The prompts, defined in the inizialization process, are formatted with the process textual description and some additional information based on wether the interaction status is true or false\n",
    "4. Based on wether the *interaction* is active or not the process is sigltly different\n",
    "    - *ON*: The LLM recives the prompts, if it consider it necessary to recive some further information from the user the a chat will be opened and the user will be able to interact until it is satsfied with the results, to close the chat the user will be required to type `exit`\n",
    "    - *OFF*: The LLM recives the prompts and once a reply is retrived this goes directly to the next steps  \n",
    "  \n",
    "The prompts are the same in both cases, when the *interaction* is active or not. The prompts can be found and edited in `Declare4Py/Utils/Declare/DeclarePrompts.py`.  \n",
    "  \n",
    "5. The LLM response goes thorough a series of steps to extract all valuable information, the `parse_ai_result` method recive as input the last response of the LLM and does the following:\n",
    "    - extract the constraints: `parse_response_constraints` method \n",
    "    - extract the activities: `parse_response_activities` method directly from the LLM response, if this is unable to retrive any activities they are extracted from the constraints with the `parse_activities` method\n",
    "    - format the information: `parse_string_to_decl` method combines activities and constraints into string which is returned by the main method\n",
    "6. Finally the *formatted model string* is converted into a model using the `parse_from_string` method from the `DeclareModel` class\n",
    "\n",
    "More informations regarding the role of each method and variable can be found directly within the code."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f586e90d",
   "metadata": {},
   "source": [
    "The following cells offer some examples of runnable code to show some possible application and results of the `to_decl` method."
   ]
  },
  {
   "cell_type": "code",
   "id": "c1948441",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-05-29T15:49:01.326048300Z",
     "start_time": "2026-05-29T15:48:59.954409500Z"
    }
   },
   "source": [
    "model = text_model.to_decl(API_KEY) # result of the extraction process of the LLM\n",
    "\n",
    "# results are stored to be observed later\n",
    "model_filepath = \"../../../tests/textual_models/model_results/process1.decl\"\n",
    "model.to_file(model_filepath)\n",
    "\n",
    "with open(model_filepath, 'r') as file:\n",
    "    model_content = file.read()\n",
    "    print(model_content)"
   ],
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "activity Receive Expense Report\n",
      "activity Create new account\n",
      "activity Review report\n",
      "activity Automatic approval\n",
      "activity Approval by supervisor\n",
      "activity Send rejection notice\n",
      "activity Reimburse via direct deposit\n",
      "activity Send approval in progress email\n",
      "activity Send cancellation notice\n",
      "Existence1[Review report] | |\n",
      "Existence1[Send rejection notice] | |\n",
      "Response[Review report, Automatic approval] | | |\n",
      "Response[Review report, Approval by supervisor] | | |\n",
      "Response[Review report, Send approval in progress email] | | |\n",
      "Precedence[Automatic approval, Reimburse via direct deposit] | | |\n",
      "Precedence[Approval by supervisor, Reimburse via direct deposit] | | |\n",
      "Not Co-Existence[Send rejection notice, Reimburse via direct deposit] | | |\n",
      "Not Succession[Send rejection notice, Reimburse via direct deposit] | | |\n",
      "Not Response[Review report, Send cancellation notice] | | |\n",
      "Succession[Receive Expense Report, Create new account] | | |\n",
      "\n"
     ]
    }
   ],
   "execution_count": 6
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-05-29T15:49:03.206749400Z",
     "start_time": "2026-05-29T15:49:01.347054400Z"
    }
   },
   "cell_type": "code",
   "source": [
    "model_ff = text_model_ff.to_decl(API_KEY)\n",
    "model_ff_filepath = \"../../../tests/textual_models/model_results/process2.decl\"\n",
    "model_ff.to_file(model_ff_filepath)\n",
    "\n",
    "with open(model_ff_filepath, 'r') as file:\n",
    "    model_content = file.read()\n",
    "    print(model_content)"
   ],
   "id": "fa24b20f",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "activity request_measurement\n",
      "activity check_request\n",
      "activity deny_request\n",
      "activity perform_measurement\n",
      "activity inform_failure\n",
      "activity transmit_values\n",
      "activity process_values\n",
      "activity send_changed_values\n",
      "activity transmit_readings\n",
      "Response[request_measurement, check_request] | | |\n",
      "Response[perform_measurement, transmit_values] | | |\n",
      "Response[deny_request, inform_failure] | | |\n",
      "Response[transmit_values, process_values] | | |\n",
      "Response[process_values, send_changed_values] | | |\n",
      "Init[request_measurement] | |\n",
      "Succession[send_changed_values, transmit_readings] | | |\n",
      "Exclusive Choice[deny_request, perform_measurement] | | |\n",
      "\n"
     ]
    }
   ],
   "execution_count": 7
  },
  {
   "cell_type": "markdown",
   "id": "09582a5d",
   "metadata": {},
   "source": [
    "Furthermore we performed the **LLM analysis** on the **PET Dataset** (Bellan, 2024). The original data and the results can be found within the `PET_dataset_analysis` folder.\n",
    "From this file it can be access using the following path `../../../tests/textual_models/PET_dataset_analysis`.\n",
    "\n",
    "More information regarding the performances of the LLM can be found in Irene Avezzù's bachelor thesis project available at the following link: [https://github.com/IreneAvezzu/bachelor_thesis_project](https://github.com/IreneAvezzu/bachelor_thesis_project)"
   ]
  }
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