experiments.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ishan/Desktop/Python/llms-app/food-labels-gemini/.venv/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import the python modules\n",
    "import os \n",
    "import sys\n",
    "import cv2\n",
    "from dotenv import load_dotenv\n",
    "from PIL import Image, ImageOps\n",
    "from IPython.display import display, HTML\n",
    "\n",
    "from langchain_core.documents import Document\n",
    "\n",
    "from langchain_google_genai import ChatGoogleGenerativeAI\n",
    "from langchain_google_genai import GoogleGenerativeAIEmbeddings\n",
    "from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
    "from langchain_community.document_loaders import PyPDFLoader\n",
    "from langchain.chains.combine_documents import create_stuff_documents_chain\n",
    "from langchain.vectorstores import Chroma\n",
    "from langchain_core.messages import HumanMessage, SystemMessage\n",
    "from langchain.prompts.prompt import PromptTemplate\n",
    "from langchain.chains import ConversationalRetrievalChain, LLMChain\n",
    "from langchain.chains.qa_with_sources import load_qa_with_sources_chain\n",
    "from langchain import hub\n",
    "from langchain.globals import set_verbose\n",
    "\n",
    "set_verbose(True)\n",
    "\n",
    "from unstructured_client import UnstructuredClient\n",
    "from unstructured_client.models import shared\n",
    "from unstructured_client.models.errors import SDKError\n",
    "\n",
    "from unstructured.chunking.title import chunk_by_title\n",
    "from unstructured.staging.base import dict_to_elements\n",
    "\n",
    "from src.prompt import lays_classic_example, cadbury_dairy_milk_example\n",
    "\n",
    "import chromadb\n",
    "\n",
    "load_dotenv()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def find_largest_contour(blurred_image):\n",
    "\n",
    "    # Find contours\n",
    "    contours, _ = cv2.findContours(blurred_image.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n",
    "\n",
    "    # Find the largest contour\n",
    "    largest_contour = max(contours, key=cv2.contourArea)\n",
    "\n",
    "    # Get the bounding box of the largest contour\n",
    "    x, y, w, h = cv2.boundingRect(largest_contour)\n",
    "\n",
    "    return x, y, w, h\n",
    "\n",
    "\n",
    "def preprocess_image(image_path, show=False):\n",
    "\n",
    "    # load the image\n",
    "    image = cv2.imread(image_path)\n",
    "\n",
    "    # Convert to grayscale\n",
    "    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "    # Apply adaptive thresholding\n",
    "    adaptive_thresholded_image = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 11, 2)\n",
    "\n",
    "    # Noise Removal (Gaussian Blur)\n",
    "    blurred_image = cv2.GaussianBlur(adaptive_thresholded_image, (5, 5), 0)\n",
    "\n",
    "    x, y, w, h = find_largest_contour(blurred_image)\n",
    "\n",
    "    # Extract the nutritional information label\n",
    "    cropped_image = blurred_image[y:y+h, x:x+w]\n",
    "\n",
    "    # Resize the image\n",
    "    cropped_image = cv2.resize(cropped_image, (256, 256), interpolation=cv2.INTER_AREA)\n",
    "\n",
    "    # Convert the processed image to PIL Image\n",
    "    pil_image = Image.fromarray(cropped_image)\n",
    "\n",
    "    # Display the PIL Image\n",
    "    if show:\n",
    "        display(pil_image)\n",
    "\n",
    "\n",
    "    return pil_image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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",
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=L size=256x256>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/jpeg": 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",
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=L size=256x256>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/jpeg": 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",
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=L size=256x256>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Open the image file\n",
    "image1 = preprocess_image(image_path=\"images/lays_cropped.jpg\", show=True)\n",
    "\n",
    "image2 = preprocess_image(image_path=\"images/cadbury.jpg\", show=True)\n",
    "\n",
    "image3 = preprocess_image(image_path=\"images/lays_magic_cropped.jpg\", show=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Open the file in read mode\n",
    "# with open(\"src/prompts/label_prompt.txt\", \"r\") as f:\n",
    "#     # Read the contents of the file\n",
    "#     file_contents = f.read()\n",
    "\n",
    "\n",
    "# print(file_contents)\n",
    "\n",
    "# label_extraction_prompt = file_contents"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Zero Shot Food Label Info Extraction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# llm = ChatGoogleGenerativeAI(model=\"gemini-pro-vision\")\n",
    "\n",
    "# # example\n",
    "# message = HumanMessage(\n",
    "#     content=[\n",
    "#         {\n",
    "#             \"type\": \"text\", # Text part of the prompt\n",
    "#             \"text\": label_extraction_prompt,\n",
    "#         },\n",
    "#         {\"type\": \"image_url\", \"image_url\": image2}, # image part of the prompt\n",
    "#     ]\n",
    "# )\n",
    "\n",
    "# response = llm.invoke([message])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# generated_text = response.content\n",
    "# print(generated_text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Few Shot Prompt "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"src/prompts/lays_classic_label_info.txt\", \"r\") as f:\n",
    "    # Read the contents of the file\n",
    "    lays_classic_example = f.read()\n",
    "\n",
    "\n",
    "with open(\"src/prompts/cadbury_dairy_milk_label_info.txt\", \"r\") as f:\n",
    "    # Read the contents of the file\n",
    "    cadbury_dairy_milk_example = f.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "llm = ChatGoogleGenerativeAI(model=\"gemini-pro-vision\", temperature=0, convert_system_message_to_human=True)\n",
    "\n",
    "prompt1 = lays_classic_example\n",
    "\n",
    "prompt2 = cadbury_dairy_milk_example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "image_message1 = {\n",
    "    \"type\": \"image_url\",\n",
    "    \"image_url\": image1\n",
    "}\n",
    "\n",
    "image_message2 = {\n",
    "    \"type\": \"image_url\",\n",
    "    \"image_url\": image2\n",
    "}\n",
    "\n",
    "image_message3 = {\n",
    "    \"type\": \"image_url\",\n",
    "    \"image_url\": image3\n",
    "}\n",
    "\n",
    "message = [\n",
    "        SystemMessage(content=\"You are a bot that is designed to extract nutritional information from the images of food labels. You will be given an image of a food label and you need to extract the nutritional information from it. You will be given examples of food labels to help you understand the task.\"),\n",
    "        HumanMessage(content=[image_message1, lays_classic_example, image_message2, cadbury_dairy_milk_example, image_message3])\n",
    "    ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "list"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(message)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " nutritional information per 100 g: \n",
      "    json object'{\"Energy\": \"547 kCal\",\n",
      "        \"Macronutrients\": { \n",
      "            \"Protein\": \"8.9 g\",\n",
      "            \"Carbohydrates\": {\n",
      "                \"Total\": \"47.6 g\",\n",
      "                \"Sugar\": \"Not Present\"\n",
      "                },\n",
      "            \"Dietary Fiber\": \"Not Present\",\n",
      "            \"Total Fat\": {\n",
      "                \"Total\": \"35.7 g\",\n",
      "                \"Saturated Fat\": \"14.1 g\",\n",
      "                \"Trans Fat\": \"0.1 g\"\n",
      "            },\n",
      "            \"Linoleic Acid\": \"Not Present\",\n",
      "            \"Linolenic acid\": \"Not Present\"\n",
      "        },\n",
      "        \"Minerals\": { \n",
      "            \"Calcium\": \"Not Present\",\n",
      "            \"Iron\": \"Not Present\",\n",
      "            \"Magnesium\": \"Not Present\",\n",
      "            \"Phosphorus\": \"Not Present\",\n",
      "            \"Potassium\": \"Not Present\",\n",
      "            \"Sodium\": \"942 mg\",\n",
      "            \"Zinc\": \"Not Present\",\n",
      "            \"Cooper\": \"Not Present\",\n",
      "            \"Manganese\": \"Not Present\",\n",
      "            \"Selenium\": \"Not Present\"\n",
      "        },\n",
      "        \"Vitamins\": {                \n",
      "            \"Vitamin A\": \"Not Present\",\n",
      "            \"Vitamic E\": \"Not Present\",\n",
      "            \"Vitamin D\": \"Not Present\",\n",
      "            \"Vitamin C\": \"Not Present\",\n",
      "            \"Thiamin\": \"Not Present\",\n",
      "            \"Riboflavin\": \"Not Present\",\n",
      "            \"Niacin\": \"Not Present\",\n",
      "            \"Vitamin B6\": \"Not Present\",\n",
      "            \"Vitamin B12\": \"Not Present\",\n",
      "            \"Choline\": \"Not Present\",\n",
      "            \"Vitamin K\": \"Not Present\",\n",
      "            \"Folate\": \"Not Present\"            \n",
      "    }\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "response = llm.invoke(message)\n",
    "output = response.content\n",
    "print(response.content)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Energy': '547 kCal', 'Macronutrients': {'Protein': '8.9 g', 'Carbohydrates': {'Total': '47.6 g', 'Sugar': 'Not Present'}, 'Dietary Fiber': 'Not Present', 'Total Fat': {'Total': '35.7 g', 'Saturated Fat': '14.1 g', 'Trans Fat': '0.1 g'}, 'Linoleic Acid': 'Not Present', 'Linolenic acid': 'Not Present'}, 'Minerals': {'Calcium': 'Not Present', 'Iron': 'Not Present', 'Magnesium': 'Not Present', 'Phosphorus': 'Not Present', 'Potassium': 'Not Present', 'Sodium': '942 mg', 'Zinc': 'Not Present', 'Cooper': 'Not Present', 'Manganese': 'Not Present', 'Selenium': 'Not Present'}, 'Vitamins': {'Vitamin A': 'Not Present', 'Vitamic E': 'Not Present', 'Vitamin D': 'Not Present', 'Vitamin C': 'Not Present', 'Thiamin': 'Not Present', 'Riboflavin': 'Not Present', 'Niacin': 'Not Present', 'Vitamin B6': 'Not Present', 'Vitamin B12': 'Not Present', 'Choline': 'Not Present', 'Vitamin K': 'Not Present', 'Folate': 'Not Present'}}\n"
     ]
    }
   ],
   "source": [
    "from src.utils.text_utils import process_output_string\n",
    "\n",
    "label_info = process_output_string(output)\n",
    "\n",
    "print(label_info)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## RAG based Retrieval"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Load the models\n",
    "llm        = ChatGoogleGenerativeAI(model=\"gemini-pro\", temperature=0)\n",
    "embeddings = GoogleGenerativeAIEmbeddings(model=\"models/embedding-001\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Process the pdf file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024-04-26 06:18:46,451 - pikepdf._core - INFO - pikepdf C++ to Python logger bridge initialized\n",
      "2024-04-26 06:18:51,652 - unstructured_inference - INFO - Reading PDF for file: docs/nutritional_tables_info.pdf ...\n",
      "2024-04-26 06:18:51,997 - unstructured_inference - INFO - Detecting page elements ...\n",
      "2024-04-26 06:18:53,832 - unstructured_inference - INFO - Detecting page elements ...\n",
      "2024-04-26 06:18:55,520 - unstructured_inference - INFO - Detecting page elements ...\n",
      "2024-04-26 06:18:57,476 - unstructured_inference - INFO - Detecting page elements ...\n",
      "2024-04-26 06:19:02,488 - unstructured_inference - INFO - Loading the Table agent ...\n",
      "2024-04-26 06:19:02,489 - unstructured_inference - INFO - Loading the table structure model ...\n",
      "2024-04-26 06:19:03,109 - timm.models._builder - INFO - Loading pretrained weights from Hugging Face hub (timm/resnet18.a1_in1k)\n",
      "2024-04-26 06:19:03,454 - timm.models._hub - INFO - [timm/resnet18.a1_in1k] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors.\n",
      "2024-04-26 06:19:03,475 - timm.models._builder - INFO - Missing keys (fc.weight, fc.bias) discovered while loading pretrained weights. This is expected if model is being adapted.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Some weights of the model checkpoint at microsoft/table-transformer-structure-recognition were not used when initializing TableTransformerForObjectDetection: ['model.backbone.conv_encoder.model.layer2.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer3.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer4.0.downsample.1.num_batches_tracked']\n",
      "- This IS expected if you are initializing TableTransformerForObjectDetection from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
      "- This IS NOT expected if you are initializing TableTransformerForObjectDetection from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nutritional goals for each age/GENDER group used in assessing the adequacy of USDA Food Patterns at various calorie levels\n",
      "\n",
      "AGE GROUP 4 to 8 GENDER FEMALE Recommended dietary allowance (RDA): Suggested Calories : 1200 kcal. Macronutrients : Protein 19 g, Carbohydrates 130 g, Fiber 16.8 g. Minerals : Calcium 1000 mg, Iron 10 mg, Magnesium 130 mg, Phosphorus 500 mg, Potassium 3800 mg, Sodium 1900 mg, Zinc 5 mg, Copper 0.44 mg, Manganese 1.5 mg, Selenium 30 mg. Vitamins : Vitamin A 400 mg RAE, Vitamin E 7 mg AT, Vitamin D 600 IU, Vitamin C 25 mg, Thiamin 0.6 mg, Riboflavin 0.6 mg, Niacin 8 mg, Vitamin B6 0.6 mg, Vitamin B12 1.2 mg, Choline 250 mg, Vitamin K 55 mg, Folate 200 mg DFE..\n",
      "\n",
      "AGE GROUP 4 to 8 GENDER MALE : 1400 : 1600 kcal. Recommended dietary allowance (RDA): Suggested Calories Macronutrients : Protein 19 g, Carbohydrates 130 g, Fiber 16.8 g. Minerals : Calcium 1000 mg, Iron 10 mg, Magnesium 130 mg, Phosphorus 500 mg, Potassium 3800 mg, Sodium 1900 mg, Zinc 5 mg, Copper 0.44 mg, Manganese 1.5 mg, Selenium 30 mg. Vitamins : Vitamin A 400 mg RAE, Vitamin E 7 mg AT, Vitamin D 600 IU, Vitamin C 25 mg, Thiamin 0.6 mg, Riboflavin 0.6 mg, Niacin 8 mg, Vitamin B6 0.6 mg, Vitamin B12 1.2 mg, Choline 250 mg, Vitamin K 55 mg, Folate 200 mg DFE.\n",
      "\n",
      "AGE GROUP 9 to 13 GENDER FEMALE Recommended dietary allowance (RDA): Suggested Calories : 1600 kcal. Macronutrients : Protein 34 g, Percent of Calories from Protein 10-30%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fiber 22.4 g, Dietary Fiber 14g/1000kcal, Percent of Calories from Fat 25-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 10 g, Linolenic Acid 1 g. Minerals : Calcium 1300 mg, Iron 8 mg, Magnesium 240 mg, Phosphorus 1250 mg, Potassium 4500 mg, Sodium 2200 mg, Zinc 8 mg, Copper 0.7 mg, Manganese 1.6 mg, Selenium 40 mg. Vitamins : Vitamin A 600 mg RAE, Vitamin E 11 mg AT, Vitamin D 600 IU Vitamin C 45 mg, Thiamin 0.9 mg, Riboflavin 0.9 mg, Niacin 12 mg, Vitamin B6 1 mg , Vitamin B12 1.8 mg, Choline 375 mg, Vitamin K 60 mg, Folate 300 mg DFE.\n",
      "\n",
      "AGE GROUP 9 to 13 GENDER MALE Recommended dietary allowance (RDA): Suggested Calories: 1800 kcal. Macronutrients: Protein 34 g, Percent of Calories from Protein 10-30%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fiber 25.2 g (14g/1000kcal), Percent of Calories from Fat 25-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 12 g, Linolenic Acid 1.2 g. Minerals : Calcium 1300 mg, Iron 8 mg, Magnesium 240 mg, Phosphorus 1250 mg, Potassium 4500 mg, Sodium 2200 mg, Zinc 8 mg, Copper 0.7 mg, Manganese 1.6 mg, Selenium 40 mg. Vitamins : Vitamin A 600 mg RAE, Vitamin E 11 mg AT, Vitamin D 600 IU, Vitamin C 45 mg, Thiamin 0.9 mg, Riboflavin 0.9 mg, Niacin 12 mg, Vitamin B6 1 mg, Vitamin B12 1.8 mg, Choline 375 mg, Vitamin K 60 mg, Folate 300 mg DFE.\n",
      "\n",
      "AGE GROUP 14 to 18 GENDER FEMALE Recommended dietary allowance (RDA): Suggested Calories 1800 kcal. Macronutrients : Protein 46 g, Percent of Calories from Protein 10-30%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fiber 25.2 g (14g/1000kcal), Percent of Calories from Fat 25-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 11 g, Linolenic Acid 1.1 g. Minerals : Calcium 1300 mg, Iron 15 mg, Magnesium 360 mg, Phosphorus 1250 mg, Potassium 4700 mg, Sodium 2300 mg, Zinc 9 mg, Copper 0.89 mg, Manganese 1.6 mg, Selenium 55 mg. Vitamins : Vitamin A 700 mg RAE, Vitamin E 15 mg AT, Vitamin D 600 IU, Vitamin C 45 mg, Thiamin 1 mg , Riboflavin 1 mg, Niacin 14 mg, Vitamin B6 1.2 mg, Vitamin B12 2.4 mg, Choline 400 mg , Vitamin K 75 mg, Folate 400 mg DFE.\n",
      "\n",
      "AGE GROUP 14 to 18 GENDER MALE Recommended kcal. dietary Macronutrients: Protein 46 g, Percent of Calories from Protein 10-30%, Carbohydrates 130 g, (14g/1000kcal), Percent of Percent of Calories from Carbohydrates 45-65%, Fiber 30.8 g Calories from Fat 25-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 16 g, Linolenic Acid 1.6 g. Minerals : Calcium 1300 mg, Iron 11 mg, Magnesium 410 mg, Phosphorus 1250 mg , Potassium 4700 mg, Sodium 2300 mg, Zinc 11 mg, Copper 0.89 mg, Manganese 2.2 mg, Selenium 55 mg. Vitamins: Vitamin A 900 mg RAE, Vitamin E 15 mg AT, Vitamin D 600 IU, Vitamin C 75 mg, Thiamin 1.2 mg, Riboflavin 1.3 mg, Niacin 16 mg, Vitamin B6 1.3 mg, Vitamin B12 2.4 mg, Choline 550 mg, Vitamin K 75 mg, Folate 400 mg DFE.\n",
      "\n",
      "AGE GROUP 19 to 30 GENDER FEMALE Recommended dietary allowance (RDA): Suggested Calories: 2000 kcal. Macronutrients : Protein 46 g, Percent of Calories from Protein 10-35%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fiber 28 g (14g/1000kcal), Percent of Calories from Fat 20-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 12 g, Linolenic Acid 1.1 g. Minerals : Calcium 1000 mg, Iron 18 mg, Magnesium 310 mg, Phosphorus 700 mg, Potassium 4700 mg, Sodium 2300 mg, Zinc 8 mg, Copper 0.9 mg, Manganese 1.8 mg, Selenium 55 mg. Vitamins : Vitamin A 700 mg RAE, Vitamin E 15 mg AT, Vitamin D 600 IU, Vitamin C 75 mg, Thiamin 1.1 mg, Riboflavin 1.1 mg, Niacin 14 mg, Vitamin B6 1.3 mg, Vitamin B12 2.4 mg, Choline 425 mg, Vitamin K 90 mg, Folate 400 mg DFE.\n",
      "\n",
      "AGE GROUP 19 to 30 GENDER MALE Recommended kcal. dietary Macronutrients: Protein 56 g, Percent of Calories from Protein 10-35%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fiber 33.6 g, Percent of Calories from Fat 20-35%, Percent of Calories from Saturated Fat 10%, Linoleic acid 17 g, Linolenic acid 1.6 g. Minerals: Calcium 1000 mg, Iron 8 mg, Magnesium 400 mg, Phosphorus 700 mg, Potassium 4700 mg, Sodium 2300 mg, Zinc 11 mg, Copper 0.9 mg, Manganese 2.3 mg, Selenium 55 mg. Vitamins : Vitamin A 900 mg RAE, Vitamin E 15 mg AT, Vitamin D 600 IU, Vitamin C 90 mg, Thiamin 1.2 mg, Riboflavin 1.3 mg, Niacin 16 mg, Vitamin B6 1.3 mg, Vitamin B12 2.4 mg, Choline 550 mg, Vitamin K 120 mg, Folate 400 mg DFE.\n",
      "\n",
      "AGE GROUP 31 to 50 GENDER FEMALE Recommended dietary allowance (RDA): Suggested Calories : 1800 kcal. Macronutrients: Protein 46 g, Percent of Calories from Protein 10-35%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fiber 25.2 g (14g/1000kcal), Percent of Calories from Fat 20-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 12 g, Linolenic Acid 1.1 g. Minerals : Calcium 1000 mg, Iron 18 mg, Magnesium 320 mg, Phosphorus 700 mg, Potassium 4700 mg, Sodium 2300, Zinc 8 mg, Copper 0.9 mg, Manganese 1.8 mg, Selenium 55 mg. Vitamins : Vitamin A 700 mg RAE, Vitamin E 15 mg AT, Vitamin D 600 IU, Vitamin C 75 mg, Thiamin 1.1 mg, Riboflavin 1.1 mg, Niacin 14 mg, Vitamin B6 1.3 mg, Vitamin B12 2.4 mg, Choline 425 mg, Vitamin K 90 mg, Folate 400 mg DFE.\n",
      "\n",
      "AGE GROUP 31 to 50 GENDER MALE Recommended dietary allowance (RDA): Suggested Calories: 2200 kcal. Macronutrients: Protein 56 g, Percent of Calories from Protein 10-35%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fiber 30.8 g (14g/1000kcal), Percent of Calories from Fat 20-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 17 g, Linolenic Acid 1.6 g. Minerals: Calcium 1000 mg, Iron 8 mg, Magnesium 420 mg, Phosphorus 700 mg, Potassium 4700 mg, Sodium 2300 mg, Zinc 11 mg, Copper 0.9 mg, Manganese 2.3 mg, Selenium 55 mg. Vitamins: Vitamin A 900 mg RAE, Vitamin E 15 mg AT, Vitamin D 600 IU, Vitamin C 90 mg, Thiamin 1.2 mg, Riboflavin 1.3 mg, Niacin 16 mg, Vitamin B6 1.3 mg, Vitamin B12 2.4 mg, Choline 550 mg, Vitamin K 75 mg, Folate 400 mg DFE.\n",
      "\n",
      "AGE GROUP 51+ GENDER FEMALE Recommended dietary allowance (RDA): Suggested Calories: 1600 kcal. Macronutrients: Protein 46 g, Percent of Calories from Protein 10-35%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fibre 22.4 g (14g/1000kcal), Percent of Calories from Fat 20-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 11 g, Linolenic Acid 1.1 g. Minerals: Calcium 1200 mg, Iron 8 mg, Magnesium 320 mg, Phosphorus 700 mg, Potassium 4700 mg, Sodium 2300 mg, Zinc 8 mg, Copper 0.9 mg, Manganese 1.8 mg, Selenium 55 mg. Vitamins: Vitamin A 700 mg RAE, Vitamin E 15 mg AT, Vitamin D 600 IU, Vitamin C 75 mg, Thiamin 1.1 mg, Riboflavin 1.1 mg, Niacin 14 mg, Vitamin B6 1.5 mg, Vitamin B12 2.4 mg, Choline 425 mg, Vitamin K 90 mg, Folate 400 mg DFE.\n",
      "\n",
      "AGE GROUP 51+ GENDER MALE Recommended dietary allowance (RDA): Suggested Calories: 2000 kcal. Macronutrients: Protein 56 g, Percent of Calories from Protein 10-35%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fiber 28g [14g/1000kcal], Percent of Calories from Fat 20-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 14 g, Linolenic Acid 1.6 g. Minerals: Calcium 1200 mg, Iron 8 mg, Magnesium 420 mg, Phosphorus 700 mg, Potassium 4700 mg , Sodium 2300 mg, Zinc 11 mg, Copper 0.9 mg, Manganese 2.3 mg, Selenium 55 mg. Vitamins: Vitamin A 900 mg RAE, Vitamin E 15 mg, Vitamin D 600 IU, Vitamin C 90 mg, Thiamin 1.2 mg, Riboflavin 1.3 mg, Niacin 16 mg, Vitamin B6 1.7 mg, Vitamin B12 2.4 mg, Choline 550 mg, Vitamin K 120 mg, Folate 400 mg.\n"
     ]
    }
   ],
   "source": [
    "from unstructured.partition.auto import partition\n",
    "\n",
    "filename = \"docs/nutritional_tables_info.pdf\"\n",
    "\n",
    "elements = partition(filename=filename,\n",
    "                     strategy='hi_res',\n",
    "           )\n",
    "print(\"\\n\\n\".join([str(el) for el in elements]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Age Group: 4-8\n",
      "\n",
      "Gender: FEMALE\n",
      "\n",
      "Age Group: 4-8\n",
      "\n",
      "Gender: MALE\n",
      "\n",
      "Age Group: 9-13\n",
      "\n",
      "Gender: FEMALE\n",
      "\n",
      "Age Group: 9-13\n",
      "\n",
      "Gender: MALE\n",
      "\n",
      "Age Group: 14-18\n",
      "\n",
      "Gender: FEMALE\n",
      "\n",
      "Age Group: 14-18\n",
      "\n",
      "Gender: MALE\n",
      "\n",
      "Age Group: 19-30\n",
      "\n",
      "Gender: FEMALE\n",
      "\n",
      "Age Group: 19-30\n",
      "\n",
      "Gender: MALE\n",
      "\n",
      "Age Group: 31-50\n",
      "\n",
      "Gender: FEMALE\n",
      "\n",
      "Age Group: 31-50\n",
      "\n",
      "Gender: MALE\n",
      "\n",
      "Age Group: 51+\n",
      "\n",
      "Gender: FEMALE\n",
      "\n",
      "Age Group: 51+\n",
      "\n",
      "Gender: MALE\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import re \n",
    "import uuid\n",
    "\n",
    "documents = []\n",
    "for element in elements:\n",
    "    id = str(uuid.uuid4())\n",
    "    metadata = dict()\n",
    "    metadata[\"id\"]     = id\n",
    "    metadata['type']   = 'text'\n",
    "    metadata[\"source\"] = \"https://health.gov/sites/default/files/2019-09/Appendix-E3-1-Table-A4.pdf\"\n",
    "    \n",
    "    text_elemt = element.text\n",
    "    # Define the regular expression pattern\n",
    "    pattern = r'AGE GROUP (\\d+\\+?|\\d+ to \\d+) GENDER (\\w+)'\n",
    "\n",
    "    # Extract the information using re.search\n",
    "    match = re.search(pattern, text_elemt)\n",
    "    if match:\n",
    "        age_group = match.group(1)\n",
    "        gender = match.group(2)\n",
    "        if '+' not in age_group:\n",
    "            age_group = age_group.replace(\" to \", \"-\")\n",
    "        metadata[\"age_group\"] = str(age_group).lower()\n",
    "        metadata[\"gender\"]    = str(gender).lower()\n",
    "        print(f\"Age Group: {age_group}\\n\")\n",
    "        print(f\"Gender: {gender}\\n\")\n",
    "    \n",
    "    documents.append(Document(page_content=element.text, metadata=metadata))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "documents = documents[1:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Document(page_content='AGE GROUP 4 to 8 GENDER FEMALE Recommended dietary allowance (RDA): Suggested Calories : 1200 kcal. Macronutrients : Protein 19 g, Carbohydrates 130 g, Fiber 16.8 g. Minerals : Calcium 1000 mg, Iron 10 mg, Magnesium 130 mg, Phosphorus 500 mg, Potassium 3800 mg, Sodium 1900 mg, Zinc 5 mg, Copper 0.44 mg, Manganese 1.5 mg, Selenium 30 mg. Vitamins : Vitamin A 400 mg RAE, Vitamin E 7 mg AT, Vitamin D 600 IU, Vitamin C 25 mg, Thiamin 0.6 mg, Riboflavin 0.6 mg, Niacin 8 mg, Vitamin B6 0.6 mg, Vitamin B12 1.2 mg, Choline 250 mg, Vitamin K 55 mg, Folate 200 mg DFE..', metadata={'id': '98610320-17ca-4631-839d-450d7a3726c7', 'type': 'text', 'source': 'https://health.gov/sites/default/files/2019-09/Appendix-E3-1-Table-A4.pdf', 'age_group': '4-8', 'gender': 'female'}),\n",
       " Document(page_content='AGE GROUP 4 to 8 GENDER MALE : 1400 : 1600 kcal. Recommended dietary allowance (RDA): Suggested Calories Macronutrients : Protein 19 g, Carbohydrates 130 g, Fiber 16.8 g. Minerals : Calcium 1000 mg, Iron 10 mg, Magnesium 130 mg, Phosphorus 500 mg, Potassium 3800 mg, Sodium 1900 mg, Zinc 5 mg, Copper 0.44 mg, Manganese 1.5 mg, Selenium 30 mg. Vitamins : Vitamin A 400 mg RAE, Vitamin E 7 mg AT, Vitamin D 600 IU, Vitamin C 25 mg, Thiamin 0.6 mg, Riboflavin 0.6 mg, Niacin 8 mg, Vitamin B6 0.6 mg, Vitamin B12 1.2 mg, Choline 250 mg, Vitamin K 55 mg, Folate 200 mg DFE.', metadata={'id': '84b7e31a-80fa-44d8-88f7-81e9b260c48b', 'type': 'text', 'source': 'https://health.gov/sites/default/files/2019-09/Appendix-E3-1-Table-A4.pdf', 'age_group': '4-8', 'gender': 'male'}),\n",
       " Document(page_content='AGE GROUP 9 to 13 GENDER FEMALE Recommended dietary allowance (RDA): Suggested Calories : 1600 kcal. Macronutrients : Protein 34 g, Percent of Calories from Protein 10-30%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fiber 22.4 g, Dietary Fiber 14g/1000kcal, Percent of Calories from Fat 25-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 10 g, Linolenic Acid 1 g. Minerals : Calcium 1300 mg, Iron 8 mg, Magnesium 240 mg, Phosphorus 1250 mg, Potassium 4500 mg, Sodium 2200 mg, Zinc 8 mg, Copper 0.7 mg, Manganese 1.6 mg, Selenium 40 mg. Vitamins : Vitamin A 600 mg RAE, Vitamin E 11 mg AT, Vitamin D 600 IU Vitamin C 45 mg, Thiamin 0.9 mg, Riboflavin 0.9 mg, Niacin 12 mg, Vitamin B6 1 mg , Vitamin B12 1.8 mg, Choline 375 mg, Vitamin K 60 mg, Folate 300 mg DFE.', metadata={'id': '96300daa-89f8-4d63-8518-0414a2d2a910', 'type': 'text', 'source': 'https://health.gov/sites/default/files/2019-09/Appendix-E3-1-Table-A4.pdf', 'age_group': '9-13', 'gender': 'female'}),\n",
       " Document(page_content='AGE GROUP 9 to 13 GENDER MALE Recommended dietary allowance (RDA): Suggested Calories: 1800 kcal. Macronutrients: Protein 34 g, Percent of Calories from Protein 10-30%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fiber 25.2 g (14g/1000kcal), Percent of Calories from Fat 25-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 12 g, Linolenic Acid 1.2 g. Minerals : Calcium 1300 mg, Iron 8 mg, Magnesium 240 mg, Phosphorus 1250 mg, Potassium 4500 mg, Sodium 2200 mg, Zinc 8 mg, Copper 0.7 mg, Manganese 1.6 mg, Selenium 40 mg. Vitamins : Vitamin A 600 mg RAE, Vitamin E 11 mg AT, Vitamin D 600 IU, Vitamin C 45 mg, Thiamin 0.9 mg, Riboflavin 0.9 mg, Niacin 12 mg, Vitamin B6 1 mg, Vitamin B12 1.8 mg, Choline 375 mg, Vitamin K 60 mg, Folate 300 mg DFE.', metadata={'id': '30df72b0-7d34-4cb8-b854-2e9969a03582', 'type': 'text', 'source': 'https://health.gov/sites/default/files/2019-09/Appendix-E3-1-Table-A4.pdf', 'age_group': '9-13', 'gender': 'male'}),\n",
       " Document(page_content='AGE GROUP 14 to 18 GENDER FEMALE Recommended dietary allowance (RDA): Suggested Calories 1800 kcal. Macronutrients : Protein 46 g, Percent of Calories from Protein 10-30%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fiber 25.2 g (14g/1000kcal), Percent of Calories from Fat 25-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 11 g, Linolenic Acid 1.1 g. Minerals : Calcium 1300 mg, Iron 15 mg, Magnesium 360 mg, Phosphorus 1250 mg, Potassium 4700 mg, Sodium 2300 mg, Zinc 9 mg, Copper 0.89 mg, Manganese 1.6 mg, Selenium 55 mg. Vitamins : Vitamin A 700 mg RAE, Vitamin E 15 mg AT, Vitamin D 600 IU, Vitamin C 45 mg, Thiamin 1 mg , Riboflavin 1 mg, Niacin 14 mg, Vitamin B6 1.2 mg, Vitamin B12 2.4 mg, Choline 400 mg , Vitamin K 75 mg, Folate 400 mg DFE.', metadata={'id': '756aa1c6-f53f-46ad-85ac-4ea49b71205a', 'type': 'text', 'source': 'https://health.gov/sites/default/files/2019-09/Appendix-E3-1-Table-A4.pdf', 'age_group': '14-18', 'gender': 'female'}),\n",
       " Document(page_content='AGE GROUP 14 to 18 GENDER MALE Recommended kcal. dietary Macronutrients: Protein 46 g, Percent of Calories from Protein 10-30%, Carbohydrates 130 g, (14g/1000kcal), Percent of Percent of Calories from Carbohydrates 45-65%, Fiber 30.8 g Calories from Fat 25-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 16 g, Linolenic Acid 1.6 g. Minerals : Calcium 1300 mg, Iron 11 mg, Magnesium 410 mg, Phosphorus 1250 mg , Potassium 4700 mg, Sodium 2300 mg, Zinc 11 mg, Copper 0.89 mg, Manganese 2.2 mg, Selenium 55 mg. Vitamins: Vitamin A 900 mg RAE, Vitamin E 15 mg AT, Vitamin D 600 IU, Vitamin C 75 mg, Thiamin 1.2 mg, Riboflavin 1.3 mg, Niacin 16 mg, Vitamin B6 1.3 mg, Vitamin B12 2.4 mg, Choline 550 mg, Vitamin K 75 mg, Folate 400 mg DFE.', metadata={'id': '74e77921-81a9-47c2-b022-1874c2be1a92', 'type': 'text', 'source': 'https://health.gov/sites/default/files/2019-09/Appendix-E3-1-Table-A4.pdf', 'age_group': '14-18', 'gender': 'male'}),\n",
       " Document(page_content='AGE GROUP 19 to 30 GENDER FEMALE Recommended dietary allowance (RDA): Suggested Calories: 2000 kcal. Macronutrients : Protein 46 g, Percent of Calories from Protein 10-35%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fiber 28 g (14g/1000kcal), Percent of Calories from Fat 20-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 12 g, Linolenic Acid 1.1 g. Minerals : Calcium 1000 mg, Iron 18 mg, Magnesium 310 mg, Phosphorus 700 mg, Potassium 4700 mg, Sodium 2300 mg, Zinc 8 mg, Copper 0.9 mg, Manganese 1.8 mg, Selenium 55 mg. Vitamins : Vitamin A 700 mg RAE, Vitamin E 15 mg AT, Vitamin D 600 IU, Vitamin C 75 mg, Thiamin 1.1 mg, Riboflavin 1.1 mg, Niacin 14 mg, Vitamin B6 1.3 mg, Vitamin B12 2.4 mg, Choline 425 mg, Vitamin K 90 mg, Folate 400 mg DFE.', metadata={'id': '31a7badf-484e-444b-94a5-4df6e288d837', 'type': 'text', 'source': 'https://health.gov/sites/default/files/2019-09/Appendix-E3-1-Table-A4.pdf', 'age_group': '19-30', 'gender': 'female'}),\n",
       " Document(page_content='AGE GROUP 19 to 30 GENDER MALE Recommended kcal. dietary Macronutrients: Protein 56 g, Percent of Calories from Protein 10-35%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fiber 33.6 g, Percent of Calories from Fat 20-35%, Percent of Calories from Saturated Fat 10%, Linoleic acid 17 g, Linolenic acid 1.6 g. Minerals: Calcium 1000 mg, Iron 8 mg, Magnesium 400 mg, Phosphorus 700 mg, Potassium 4700 mg, Sodium 2300 mg, Zinc 11 mg, Copper 0.9 mg, Manganese 2.3 mg, Selenium 55 mg. Vitamins : Vitamin A 900 mg RAE, Vitamin E 15 mg AT, Vitamin D 600 IU, Vitamin C 90 mg, Thiamin 1.2 mg, Riboflavin 1.3 mg, Niacin 16 mg, Vitamin B6 1.3 mg, Vitamin B12 2.4 mg, Choline 550 mg, Vitamin K 120 mg, Folate 400 mg DFE.', metadata={'id': '0047109a-fc8a-43e9-9e51-015c84fa76bd', 'type': 'text', 'source': 'https://health.gov/sites/default/files/2019-09/Appendix-E3-1-Table-A4.pdf', 'age_group': '19-30', 'gender': 'male'}),\n",
       " Document(page_content='AGE GROUP 31 to 50 GENDER FEMALE Recommended dietary allowance (RDA): Suggested Calories : 1800 kcal. Macronutrients: Protein 46 g, Percent of Calories from Protein 10-35%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fiber 25.2 g (14g/1000kcal), Percent of Calories from Fat 20-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 12 g, Linolenic Acid 1.1 g. Minerals : Calcium 1000 mg, Iron 18 mg, Magnesium 320 mg, Phosphorus 700 mg, Potassium 4700 mg, Sodium 2300, Zinc 8 mg, Copper 0.9 mg, Manganese 1.8 mg, Selenium 55 mg. Vitamins : Vitamin A 700 mg RAE, Vitamin E 15 mg AT, Vitamin D 600 IU, Vitamin C 75 mg, Thiamin 1.1 mg, Riboflavin 1.1 mg, Niacin 14 mg, Vitamin B6 1.3 mg, Vitamin B12 2.4 mg, Choline 425 mg, Vitamin K 90 mg, Folate 400 mg DFE.', metadata={'id': '22eef1e1-2876-4e8b-8a12-90a6a9e6fcdf', 'type': 'text', 'source': 'https://health.gov/sites/default/files/2019-09/Appendix-E3-1-Table-A4.pdf', 'age_group': '31-50', 'gender': 'female'}),\n",
       " Document(page_content='AGE GROUP 31 to 50 GENDER MALE Recommended dietary allowance (RDA): Suggested Calories: 2200 kcal. Macronutrients: Protein 56 g, Percent of Calories from Protein 10-35%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fiber 30.8 g (14g/1000kcal), Percent of Calories from Fat 20-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 17 g, Linolenic Acid 1.6 g. Minerals: Calcium 1000 mg, Iron 8 mg, Magnesium 420 mg, Phosphorus 700 mg, Potassium 4700 mg, Sodium 2300 mg, Zinc 11 mg, Copper 0.9 mg, Manganese 2.3 mg, Selenium 55 mg. Vitamins: Vitamin A 900 mg RAE, Vitamin E 15 mg AT, Vitamin D 600 IU, Vitamin C 90 mg, Thiamin 1.2 mg, Riboflavin 1.3 mg, Niacin 16 mg, Vitamin B6 1.3 mg, Vitamin B12 2.4 mg, Choline 550 mg, Vitamin K 75 mg, Folate 400 mg DFE.', metadata={'id': '82514f2c-d14d-4138-b9c4-bee2cc15ef4e', 'type': 'text', 'source': 'https://health.gov/sites/default/files/2019-09/Appendix-E3-1-Table-A4.pdf', 'age_group': '31-50', 'gender': 'male'}),\n",
       " Document(page_content='AGE GROUP 51+ GENDER FEMALE Recommended dietary allowance (RDA): Suggested Calories: 1600 kcal. Macronutrients: Protein 46 g, Percent of Calories from Protein 10-35%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fibre 22.4 g (14g/1000kcal), Percent of Calories from Fat 20-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 11 g, Linolenic Acid 1.1 g. Minerals: Calcium 1200 mg, Iron 8 mg, Magnesium 320 mg, Phosphorus 700 mg, Potassium 4700 mg, Sodium 2300 mg, Zinc 8 mg, Copper 0.9 mg, Manganese 1.8 mg, Selenium 55 mg. Vitamins: Vitamin A 700 mg RAE, Vitamin E 15 mg AT, Vitamin D 600 IU, Vitamin C 75 mg, Thiamin 1.1 mg, Riboflavin 1.1 mg, Niacin 14 mg, Vitamin B6 1.5 mg, Vitamin B12 2.4 mg, Choline 425 mg, Vitamin K 90 mg, Folate 400 mg DFE.', metadata={'id': 'f8570136-3e6f-41bd-87a7-d830c97f67ca', 'type': 'text', 'source': 'https://health.gov/sites/default/files/2019-09/Appendix-E3-1-Table-A4.pdf', 'age_group': '51+', 'gender': 'female'}),\n",
       " Document(page_content='AGE GROUP 51+ GENDER MALE Recommended dietary allowance (RDA): Suggested Calories: 2000 kcal. Macronutrients: Protein 56 g, Percent of Calories from Protein 10-35%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fiber 28g [14g/1000kcal], Percent of Calories from Fat 20-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 14 g, Linolenic Acid 1.6 g. Minerals: Calcium 1200 mg, Iron 8 mg, Magnesium 420 mg, Phosphorus 700 mg, Potassium 4700 mg , Sodium 2300 mg, Zinc 11 mg, Copper 0.9 mg, Manganese 2.3 mg, Selenium 55 mg. Vitamins: Vitamin A 900 mg RAE, Vitamin E 15 mg, Vitamin D 600 IU, Vitamin C 90 mg, Thiamin 1.2 mg, Riboflavin 1.3 mg, Niacin 16 mg, Vitamin B6 1.7 mg, Vitamin B12 2.4 mg, Choline 550 mg, Vitamin K 120 mg, Folate 400 mg.', metadata={'id': '8f94be38-d93a-4ad9-8dbc-a88f6b526019', 'type': 'text', 'source': 'https://health.gov/sites/default/files/2019-09/Appendix-E3-1-Table-A4.pdf', 'age_group': '51+', 'gender': 'male'})]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "documents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'id': '30df72b0-7d34-4cb8-b854-2e9969a03582',\n",
       " 'type': 'text',\n",
       " 'source': 'https://health.gov/sites/default/files/2019-09/Appendix-E3-1-Table-A4.pdf',\n",
       " 'age_group': '9-13',\n",
       " 'gender': 'male'}"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "documents[3].metadata\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "persist_directory = 'vectordb'\n",
    "vectordb = Chroma.from_documents(documents=documents, embedding=embeddings, persist_directory=persist_directory)\n",
    "vectordb.persist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "persist_directory = 'vectordb'\n",
    "vectordb = Chroma(persist_directory=persist_directory, embedding_function=embeddings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Retrieve and generate using the relevant snippets of the blog.\n",
    "retriever = vectordb.as_retriever(\n",
    "    search_type=\"similarity\",\n",
    "    search_kwargs={\"k\": 7})\n",
    "prompt = hub.pull(\"rlm/rag-prompt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "relevant_docs = vectordb.similarity_search(\"What are the nutritional goals for a female in the age group 19-30 year\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Document(page_content='Nutritional goals for each age/GENDER group used in assessing the adequacy of USDA Food Patterns at various calorie levels', metadata={'id': 'f74eb029-ff93-4ad0-a413-98f9eb8a613d', 'source': 'https://health.gov/sites/default/files/2019-09/Appendix-E3-1-Table-A4.pdf', 'type': 'text'}),\n",
       " Document(page_content='AGE GROUP 19 to 30 GENDER FEMALE Recommended dietary allowance (RDA): Suggested Calories: 2000 kcal. Macronutrients : Protein 46 g, Percent of Calories from Protein 10-35%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fiber 28 g (14g/1000kcal), Percent of Calories from Fat 20-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 12 g, Linolenic Acid 1.1 g. Minerals : Calcium 1000 mg, Iron 18 mg, Magnesium 310 mg, Phosphorus 700 mg, Potassium 4700 mg, Sodium 2300 mg, Zinc 8 mg, Copper 0.9 mg, Manganese 1.8 mg, Selenium 55 mg. Vitamins : Vitamin A 700 mg RAE, Vitamin E 15 mg AT, Vitamin D 600 IU, Vitamin C 75 mg, Thiamin 1.1 mg, Riboflavin 1.1 mg, Niacin 14 mg, Vitamin B6 1.3 mg, Vitamin B12 2.4 mg, Choline 425 mg, Vitamin K 90 mg, Folate 400 mg DFE.', metadata={'age_group': '19 to 30', 'gender': 'female', 'id': '4fce71e9-ce6c-4176-93f1-156e80ee77a8', 'source': 'https://health.gov/sites/default/files/2019-09/Appendix-E3-1-Table-A4.pdf', 'type': 'text'}),\n",
       " Document(page_content='AGE GROUP 19 to 30 GENDER FEMALE Recommended dietary allowance (RDA): Suggested Calories: 2000 kcal. Macronutrients : Protein 46 g, Percent of Calories from Protein 10-35%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fiber 28 g (14g/1000kcal), Percent of Calories from Fat 20-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 12 g, Linolenic Acid 1.1 g. Minerals : Calcium 1000 mg, Iron 18 mg, Magnesium 310 mg, Phosphorus 700 mg, Potassium 4700 mg, Sodium 2300 mg, Zinc 8 mg, Copper 0.9 mg, Manganese 1.8 mg, Selenium 55 mg. Vitamins : Vitamin A 700 mg RAE, Vitamin E 15 mg AT, Vitamin D 600 IU, Vitamin C 75 mg, Thiamin 1.1 mg, Riboflavin 1.1 mg, Niacin 14 mg, Vitamin B6 1.3 mg, Vitamin B12 2.4 mg, Choline 425 mg, Vitamin K 90 mg, Folate 400 mg DFE.', metadata={'age_group': '19-30', 'gender': 'female', 'id': '31a7badf-484e-444b-94a5-4df6e288d837', 'source': 'https://health.gov/sites/default/files/2019-09/Appendix-E3-1-Table-A4.pdf', 'type': 'text'}),\n",
       " Document(page_content='AGE GROUP 19 to 30 GENDER FEMALE Recommended dietary allowance (RDA): Suggested Calories: 2000 kcal. Macronutrients : Protein 46 g, Percent of Calories from Protein 10-35%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fiber 28 g (14g/1000kcal), Percent of Calories from Fat 20-35%, Percent of Calories from Saturated Fat 10%, Linoleic Acid 12 g, Linolenic Acid 1.1 g. Minerals : Calcium 1000 mg, Iron 18 mg, Magnesium 310 mg, Phosphorus 700 mg, Potassium 4700 mg, Sodium 2300 mg, Zinc 8 mg, Copper 0.9 mg, Manganese 1.8 mg, Selenium 55 mg. Vitamins : Vitamin A 700 mg RAE, Vitamin E 15 mg AT, Vitamin D 600 IU, Vitamin C 75 mg, Thiamin 1.1 mg, Riboflavin 1.1 mg, Niacin 14 mg, Vitamin B6 1.3 mg, Vitamin B12 2.4 mg, Choline 425 mg, Vitamin K 90 mg, Folate 400 mg DFE.', metadata={'age_group': '19 to 30', 'gender': 'female', 'id': 'b4e4d77c-7e14-40c8-acd4-913437ccd1ad', 'source': 'https://health.gov/sites/default/files/2019-09/Appendix-E3-1-Table-A4.pdf', 'type': 'text'})]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "relevant_docs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain_core.output_parsers import StrOutputParser\n",
    "from langchain_core.runnables import RunnablePassthrough\n",
    "\n",
    "def format_docs(docs):\n",
    "    return \"\\n\\n\".join(doc.page_content for doc in docs)\n",
    "\n",
    "rag_chain = (\n",
    "    {\"context\": retriever | format_docs, \"question\": RunnablePassthrough()}\n",
    "    | prompt\n",
    "    | llm\n",
    "    | StrOutputParser()\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "rag_prompt = f\"\"\"Firstly answer this based on the context given to you. \n",
    "                Question: What are the nutritional goals for female in the age group 19-30?\n",
    "                \n",
    "                Secondly, given the food label info json object, tell me to what extent \n",
    "                are the nutritional goals met by the food. Note that not present implies that the \n",
    "                element is absent in the food label.\n",
    "\n",
    "                Thirdly, comment on the overall healthiness of the food based on the nutritional goals met.\n",
    "                \n",
    "                Food Label: {label_info}\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1. The nutritional goals for females in the age group 19-30 are as follows: \n",
      "   - Calories: 2000 kcal\n",
      "   - Protein: 46 g (10-35% of calories)\n",
      "   - Carbohydrates: 130 g (45-65% of calories)\n",
      "   - Fiber: 28 g (14g/1000kcal)\n",
      "   - Fat: 20-35% of calories, with 10% from saturated fat\n",
      "   - Linoleic Acid: 12 g\n",
      "   - Linolenic Acid: 1.1 g\n",
      "   - Calcium: 1000 mg\n",
      "   - Iron: 18 mg\n",
      "   - Magnesium: 310 mg\n",
      "   - Phosphorus: 700 mg\n",
      "   - Potassium: 4700 mg\n",
      "   - Sodium: 2300 mg\n",
      "   - Zinc: 8 mg\n",
      "   - Copper: 0.9 mg\n",
      "   - Manganese: 1.8 mg\n",
      "   - Selenium: 55 mg\n",
      "   - Vitamin A: 700 mg RAE\n",
      "   - Vitamin E: 15 mg AT\n",
      "   - Vitamin D: 600 IU\n",
      "   - Vitamin C: 75 mg\n",
      "   - Thiamin: 1.1 mg\n",
      "   - Riboflavin: 1.1 mg\n",
      "   - Niacin: 14 mg\n",
      "   - Vitamin B6: 1.3 mg\n",
      "   - Vitamin B12: 2.4 mg\n",
      "   - Choline: 425 mg\n",
      "   - Vitamin K: 90 mg\n",
      "   - Folate: 400 mg DFE\n",
      "\n",
      "2. The food label provided does not contain information on all of the nutrients that are included in the nutritional goals for females in the age group 19-30. However, based on the information that is available, the food meets the following nutritional goals:\n",
      "   - Calories: 547 kcal (27% of daily goal)\n",
      "   - Protein: 8.9 g (19% of daily goal)\n",
      "   - Carbohydrates: 47.6 g (37% of daily goal)\n",
      "   - Fat: 35.7 g (100% of daily goal), with 14.1 g from saturated fat (100% of daily goal)\n",
      "   - Sodium: 942 mg (41% of daily goal)\n",
      "\n",
      "3. Overall, the food is not particularly healthy based on the nutritional goals for females in the age group 19-30. It is high in calories, fat, and saturated fat, and it does not contain any fiber or essential vitamins and minerals.\n"
     ]
    }
   ],
   "source": [
    "output = rag_chain.invoke(rag_prompt)\n",
    "\n",
    "print(output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain_core.output_parsers import StrOutputParser\n",
    "\n",
    "llm_text_model = ChatGoogleGenerativeAI(model=\"gemini-pro\", temperature=0)\n",
    "persist_directory = 'vectordb'\n",
    "vectordb = Chroma(persist_directory=persist_directory, embedding_function=embeddings)\n",
    "\n",
    "def query_vector_db(label_info, gender, age_group, rag_prompt):\n",
    "    \"\"\"Query the vector database to get the nutritional goals for\n",
    "    a specific gender and age group. Based on these goals assess the healthiness\n",
    "    of the food label.\n",
    "\n",
    "    Args:\n",
    "        label_info (str): _description_\n",
    "        gender (str): _description_\n",
    "        age_group (str): _description_\n",
    "\n",
    "    Returns:\n",
    "        str: the response from the model\n",
    "    \"\"\"\n",
    "    try:\n",
    "\n",
    "        output_parser = StrOutputParser()\n",
    "\n",
    "        chain = rag_prompt | llm_text_model | output_parser\n",
    "\n",
    "        relevant_docs = vectordb.similarity_search(f\"What are the nutritional goals for a {gender} in the age group {age_group}?\")\n",
    "\n",
    "        context = \"\"\n",
    "\n",
    "        for doc in relevant_docs:\n",
    "            if doc.metadata.get('age_group') == age_group and doc.metadata.get('gender') == gender:\n",
    "                context += doc.page_content\n",
    "\n",
    "        print(f\"context: {context}\\n\") \n",
    "        print(f\"label_info: {label_info}\\n\")\n",
    "        print(f\"gender: {gender}, age_group:{age_group}\\n\")\n",
    "\n",
    "        response = chain.invoke({\"context\": context, \"label_info\": label_info})\n",
    "\n",
    "        return response\n",
    "    \n",
    "    except Exception as e:\n",
    "        print(e)\n",
    "\n",
    "        return None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "context: AGE GROUP 19 to 30 GENDER MALE Recommended kcal. dietary Macronutrients: Protein 56 g, Percent of Calories from Protein 10-35%, Carbohydrates 130 g, Percent of Calories from Carbohydrates 45-65%, Fiber 33.6 g, Percent of Calories from Fat 20-35%, Percent of Calories from Saturated Fat 10%, Linoleic acid 17 g, Linolenic acid 1.6 g. Minerals: Calcium 1000 mg, Iron 8 mg, Magnesium 400 mg, Phosphorus 700 mg, Potassium 4700 mg, Sodium 2300 mg, Zinc 11 mg, Copper 0.9 mg, Manganese 2.3 mg, Selenium 55 mg. Vitamins : Vitamin A 900 mg RAE, Vitamin E 15 mg AT, Vitamin D 600 IU, Vitamin C 90 mg, Thiamin 1.2 mg, Riboflavin 1.3 mg, Niacin 16 mg, Vitamin B6 1.3 mg, Vitamin B12 2.4 mg, Choline 550 mg, Vitamin K 120 mg, Folate 400 mg DFE.\n",
      "\n",
      "label_info: {'Energy': '547 kCal', 'Macronutrients': {'Protein': '8.9 g', 'Carbohydrates': {'Total': '47.6 g', 'Sugar': 'Not Present'}, 'Dietary Fiber': 'Not Present', 'Total Fat': {'Total': '35.7 g', 'Saturated Fat': '14.1 g', 'Trans Fat': '0.1 g'}, 'Linoleic Acid': 'Not Present', 'Linolenic acid': 'Not Present'}, 'Minerals': {'Calcium': 'Not Present', 'Iron': 'Not Present', 'Magnesium': 'Not Present', 'Phosphorus': 'Not Present', 'Potassium': 'Not Present', 'Sodium': '942 mg', 'Zinc': 'Not Present', 'Cooper': 'Not Present', 'Manganese': 'Not Present', 'Selenium': 'Not Present'}, 'Vitamins': {'Vitamin A': 'Not Present', 'Vitamic E': 'Not Present', 'Vitamin D': 'Not Present', 'Vitamin C': 'Not Present', 'Thiamin': 'Not Present', 'Riboflavin': 'Not Present', 'Niacin': 'Not Present', 'Vitamin B6': 'Not Present', 'Vitamin B12': 'Not Present', 'Choline': 'Not Present', 'Vitamin K': 'Not Present', 'Folate': 'Not Present'}}\n",
      "\n",
      "gender: male, age_group:19-30\n",
      "\n"
     ]
    }
   ],
   "source": [
    "gender = \"male\"\n",
    "age_group = \"19-30\"\n",
    "\n",
    "rag_prompt_template = \"\"\"The nutritional goals for a healthy adult are given in the context. Use it to evaluate the food label info json object.\n",
    "Note that not present implies that the element is absent in the food label.\n",
    "\n",
    "Comment on the overall healthiness of the food based on the nutritional goals met.\n",
    "\n",
    "Context: {context}\n",
    "Food Label: {label_info}\n",
    "\"\"\"\n",
    "\n",
    "rag_prompt = PromptTemplate.from_template(template=rag_prompt_template)\n",
    "\n",
    "response = query_vector_db(label_info, gender, age_group, rag_prompt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "**Macronutrients:**\n",
      "\n",
      "- Protein: 8.9 g (16% of calories) - Meets the recommended range of 10-35%.\n",
      "- Carbohydrates: 47.6 g (34% of calories) - Falls within the recommended range of 45-65%.\n",
      "- Fiber: Not present - Does not meet the recommended intake of 33.6 g.\n",
      "- Fat: 35.7 g (65% of calories) - Exceeds the recommended range of 20-35%.\n",
      "- Saturated Fat: 14.1 g (26% of calories) - Exceeds the recommended intake of 10%.\n",
      "\n",
      "**Minerals:**\n",
      "\n",
      "- Calcium: Not present - Does not meet the recommended intake of 1000 mg.\n",
      "- Iron: Not present - Does not meet the recommended intake of 8 mg.\n",
      "- Magnesium: Not present - Does not meet the recommended intake of 400 mg.\n",
      "- Phosphorus: Not present - Does not meet the recommended intake of 700 mg.\n",
      "- Potassium: Not present - Does not meet the recommended intake of 4700 mg.\n",
      "- Sodium: 942 mg - Falls within the recommended intake of 2300 mg.\n",
      "- Zinc: Not present - Does not meet the recommended intake of 11 mg.\n",
      "- Copper: Not present - Does not meet the recommended intake of 0.9 mg.\n",
      "- Manganese: Not present - Does not meet the recommended intake of 2.3 mg.\n",
      "- Selenium: Not present - Does not meet the recommended intake of 55 mg.\n",
      "\n",
      "**Vitamins:**\n",
      "\n",
      "- Vitamin A: Not present - Does not meet the recommended intake of 900 mg RAE.\n",
      "- Vitamin E: Not present - Does not meet the recommended intake of 15 mg AT.\n",
      "- Vitamin D: Not present - Does not meet the recommended intake of 600 IU.\n",
      "- Vitamin C: Not present - Does not meet the recommended intake of 90 mg.\n",
      "- Thiamin: Not present - Does not meet the recommended intake of 1.2 mg.\n",
      "- Riboflavin: Not present - Does not meet the recommended intake of 1.3 mg.\n",
      "- Niacin: Not present - Does not meet the recommended intake of 16 mg.\n",
      "- Vitamin B6: Not present - Does not meet the recommended intake of 1.3 mg.\n",
      "- Vitamin B12: Not present - Does not meet the recommended intake of 2.4 mg.\n",
      "- Choline: Not present - Does not meet the recommended intake of 550 mg.\n",
      "- Vitamin K: Not present - Does not meet the recommended intake of 120 mg.\n",
      "- Folate: Not present - Does not meet the recommended intake of 400 mg DFE.\n",
      "\n",
      "**Overall Healthiness:**\n",
      "\n",
      "Based on the nutritional goals for a healthy adult, this food item does not meet the recommended intake for most essential nutrients. It is high in fat, particularly saturated fat, and low in fiber, vitamins, and minerals. Therefore, it is not considered a healthy food choice.\n"
     ]
    }
   ],
   "source": [
    "print(response)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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