{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [],
   "source": [
    "import spacy\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "sns.set_palette(sns.color_palette(\"Spectral\"))\n",
    "sns.set_style(\"darkgrid\")\n",
    "\n",
    "import matplotlib as mpl\n",
    "mpl.rcParams['figure.dpi'] = 200\n",
    "mpl.rcParams[\"axes.labelsize\"] = 15\n",
    "pd.set_option('display.max_columns', 999)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# read in RecipeNLG Dataset\n",
    "\n",
    "df = pd.read_csv('RecipeNLG_Dataset.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# takeout relevant columns\n",
    "# convert from string to list literal\n",
    "\n",
    "from ast import literal_eval\n",
    "\n",
    "df_cols = df[[\"ingredients\",\"NER\",\"directions\"]]\n",
    "\n",
    "data = df_cols.sample(n = 10000, random_state = 42)\n",
    "\n",
    "data[\"ingredients\"] = data[\"ingredients\"].apply(literal_eval)  \n",
    "data[\"directions\"] = data[\"directions\"].apply(literal_eval)\n",
    "data[\"NER\"] = data[\"NER\"].apply(literal_eval)\n",
    "data.reset_index(inplace=True, drop = True)\n",
    "\n",
    "\n",
    "import spacy\n",
    "nlp=spacy.load('en_core_web_sm')\n",
    "from spacy.tokens import Doc\n",
    "from spacy.training import Example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 499,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Make ingredient list\n",
    "\n",
    "ingredients_list = df[\"NER\"]\n",
    "ingredients_list = ingredients_list.apply(literal_eval)\n",
    "ingredients_list = ingredients_list.explode()\n",
    "ingredients_list.drop_duplicates(inplace=True)\n",
    "ingredients_list.reset_index(inplace=True, drop = True)\n",
    "\n",
    "ingredients_list = ingredients_list[ingredients_list.apply(type) == str]\n",
    "ingredients_list = ingredients_list.apply(lambda ingredient: ingredient.lower())\n",
    "\n",
    "word_length = ingredients_list.apply(lambda ingredient: len(ingredient.split()))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 579,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Ingredient Word Count Distribution'}, xlabel='Word Count', ylabel='Count'>"
      ]
     },
     "execution_count": 579,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "word_length.value_counts().sort_index().plot(kind='bar', title = \"Ingredient Word Count Distribution\", xlabel = \"Word Count\", ylabel = \"Count\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 506,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "114568    lime - added just prior to serving - stir well...\n",
      "Name: NER, dtype: object\n"
     ]
    }
   ],
   "source": [
    "# pretty goofy ingredients\n",
    "print(ingredients_list[word_length == 17])\n",
    "\n",
    "# get rid of all ingredients over 2 words long\n",
    "ingredients_list = ingredients_list[word_length < 3]\n",
    "\n",
    "# get rid of ingredients that are non-alpha numeric (excluding spaces) and more than 25 chars\n",
    "def valid_ingredient(ingredient):\n",
    "    bad_chars = []\n",
    "    alnum_exclusions = {\" \"}\n",
    "\n",
    "    if len(ingredient) > 25:\n",
    "        return False\n",
    "\n",
    "    for char in ingredient:\n",
    "        if not char.isalnum():\n",
    "            bad_chars.append(char)\n",
    "    \n",
    "    if len(bad_chars) != 0:\n",
    "        if set(bad_chars) == alnum_exclusions:\n",
    "            return True\n",
    "        else:\n",
    "            return False\n",
    "    else:\n",
    "        return True\n",
    "\n",
    "ingredients_list = ingredients_list[ingredients_list.apply(valid_ingredient)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 507,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count           115555\n",
       "unique           91952\n",
       "top       clove garlic\n",
       "freq                 8\n",
       "Name: NER, dtype: object"
      ]
     },
     "execution_count": 507,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ingredients_list.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 526,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "\n",
    "prefixes = [\"I have \", \"I got \", \"My fridge contains \", \"I have in my fridge \", \"I have in my kitchen \", \"I have in my pantry \", \"I have in my cupboard \", \n",
    "\"I have in my cabinet \", \"In this fridge, there is \", \"I have in my fridge right now \", \"My pantry contains \", \"Hey, so I have \", \"Hello, I have \", \"Hey I got \"]\n",
    "seperator = [\", \", \" and \", \" and also \", \" \", \" & \", \" plus \", \" in addition to \", \" also \", \" as well as \"]\n",
    "unit = [\"some \", \"a handful of \", \"a block of \", \"a cube of \", \"a slice of \", \"a stick of \", \"one cup \", \"a bag of \", \"a gallon of \"] + [\"\"]*10\n",
    "\n",
    "\n",
    "# initialize testing and training set (spacy Example object)\n",
    "testing = pd.DataFrame(columns = [\"sentence\", \"NER\"])\n",
    "training = pd.DataFrame(columns = [\"sentence\", \"NER\", \"example\"])\n",
    "\n",
    "# initialize spacy nlp object\n",
    "nlp = spacy.load(\"en_core_web_sm\")\n",
    "ner = nlp.get_pipe(\"ner\")\n",
    "ner.add_label(\"FOOD\")\n",
    "\n",
    "# to catch bad NERs\n",
    "import warnings\n",
    "warnings.filterwarnings(\"error\")\n",
    "\n",
    "\n",
    "def make_sentence(length = random.randint(5,15), testing = True):\n",
    "    sentence = \"\"\n",
    "\n",
    "    NER_list = []\n",
    "    NER_label = \"FOOD\"\n",
    "    NER_coords = []\n",
    "\n",
    "    prefix = random.choice(prefixes)\n",
    "    sentence += prefix\n",
    "\n",
    "    curr_index = len(prefix)\n",
    "\n",
    "    for i in range(length):\n",
    "        \n",
    "        seperator_choice = random.choice(seperator)\n",
    "        unit_choice = random.choice(unit)\n",
    "        ingredient = ingredients_list.sample(1).iloc[0]\n",
    "\n",
    "        if not testing:\n",
    "            NER_coords.append((curr_index, curr_index + len(ingredient), NER_label))\n",
    "            curr_index += len(ingredient) + len(seperator_choice) + len(unit_choice)\n",
    "\n",
    "        sentence += ingredient\n",
    "        sentence += seperator_choice\n",
    "        sentence += unit_choice\n",
    "        \n",
    "        NER_list.append(ingredient)\n",
    "\n",
    "    sentence = sentence[:-(len(seperator_choice)+len(unit_choice))]\n",
    "    if testing:\n",
    "        return {\"sentence\":sentence, \"NER\":NER_list}\n",
    "    else:\n",
    "        doc = nlp.make_doc(sentence)\n",
    "        try:\n",
    "            temp = {\"sentence\":sentence, \"NER\":NER_list, \"example\":Example.from_dict(doc, {\"entities\":NER_coords})}\n",
    "        except:\n",
    "            print(f\"{sentence} cannot be aligned\")\n",
    "            return None\n",
    "        return temp\n",
    "\n",
    "\n",
    "# stop catching warnings as errors\n",
    "warnings.filterwarnings(\"default\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 527,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Populate Training and Testing Set\n",
    "\n",
    "training_set_len = 1000\n",
    "testing_set_len = 300\n",
    "\n",
    "\n",
    "for i in range(testing_set_len):\n",
    "    testing = testing.append(make_sentence(), ignore_index = True)\n",
    "\n",
    "testing.to_csv(\"validation.csv\", index = False)\n",
    "\n",
    "for i in range(training_set_len):\n",
    "    training = training.append(make_sentence(testing = False), ignore_index = True)\n",
    "\n",
    "training.to_csv(\"training.csv\", index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 528,
   "metadata": {},
   "outputs": [],
   "source": [
    "# define train, validation, and testing sets\n",
    "TRAIN_DATA = training[\"example\"]\n",
    "validation = pd.read_csv(\"validation.csv\")\n",
    "test = pd.read_csv(\"testing.csv\")\n",
    "\n",
    "# convert from string to list literal\n",
    "validation[\"NER\"] = validation[\"NER\"].apply(literal_eval)\n",
    "test[\"NER\"] = test[\"NER\"].apply(literal_eval)\n",
    "\n",
    "\n",
    "# loss statistics\n",
    "\n",
    "# percent of ingredients that are in the prediction\n",
    "def undiscovered_rate(row):\n",
    "    correct = 0\n",
    "    incorrect = 0\n",
    "    for i in row[\"NER\"]:\n",
    "        if i in row[\"prediction\"]:\n",
    "            correct += 1\n",
    "        else:\n",
    "            incorrect += 1\n",
    "    return incorrect / (correct + incorrect)\n",
    "\n",
    "# percent of predicted ingredients that are invalid\n",
    "def false_positive_rate(row):\n",
    "    correct = 0\n",
    "    incorrect = 0\n",
    "    for i in row[\"prediction\"]:\n",
    "        if i in row[\"NER\"]:\n",
    "            correct += 1\n",
    "        else:\n",
    "            incorrect += 1\n",
    "    return incorrect / (correct + incorrect)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 531,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1 Training Loss:  {'ner': 4403.56887071377}\n",
      "Validation Losses (Innaccuracy, False Positive Rate, Undiscovered Rate): (0.19,0.01, 0.02)\n",
      "Testing Losses (Innaccuracy, False Positive Rate, Undiscovered Rate): (0.50,0.15, 0.11)\n",
      "Epoch 2 Training Loss:  {'ner': 620.9216327526549}\n",
      "Validation Losses (Innaccuracy, False Positive Rate, Undiscovered Rate): (0.20,0.01, 0.02)\n",
      "Testing Losses (Innaccuracy, False Positive Rate, Undiscovered Rate): (0.60,0.16, 0.13)\n",
      "Epoch 3 Training Loss:  {'ner': 434.16471774336713}\n",
      "Validation Losses (Innaccuracy, False Positive Rate, Undiscovered Rate): (0.13,0.01, 0.02)\n",
      "Testing Losses (Innaccuracy, False Positive Rate, Undiscovered Rate): (0.60,0.19, 0.12)\n",
      "Epoch 4 Training Loss:  {'ner': 339.9730979485139}\n",
      "Validation Losses (Innaccuracy, False Positive Rate, Undiscovered Rate): (0.12,0.01, 0.02)\n",
      "Testing Losses (Innaccuracy, False Positive Rate, Undiscovered Rate): (0.60,0.19, 0.12)\n",
      "Epoch 5 Training Loss:  {'ner': 242.21323348497015}\n",
      "Validation Losses (Innaccuracy, False Positive Rate, Undiscovered Rate): (0.10,0.01, 0.01)\n",
      "Testing Losses (Innaccuracy, False Positive Rate, Undiscovered Rate): (0.60,0.21, 0.13)\n",
      "Epoch 6 Training Loss:  {'ner': 250.15943720716754}\n",
      "Validation Losses (Innaccuracy, False Positive Rate, Undiscovered Rate): (0.11,0.01, 0.02)\n",
      "Testing Losses (Innaccuracy, False Positive Rate, Undiscovered Rate): (0.60,0.21, 0.13)\n",
      "Epoch 7 Training Loss:  {'ner': 158.17348671063036}\n",
      "Validation Losses (Innaccuracy, False Positive Rate, Undiscovered Rate): (0.14,0.01, 0.02)\n",
      "Testing Losses (Innaccuracy, False Positive Rate, Undiscovered Rate): (0.60,0.21, 0.13)\n",
      "Epoch 8 Training Loss:  {'ner': 162.21127591129698}\n",
      "Validation Losses (Innaccuracy, False Positive Rate, Undiscovered Rate): (0.10,0.01, 0.02)\n",
      "Testing Losses (Innaccuracy, False Positive Rate, Undiscovered Rate): (0.60,0.22, 0.15)\n",
      "Epoch 9 Training Loss:  {'ner': 132.49127265364973}\n",
      "Validation Losses (Innaccuracy, False Positive Rate, Undiscovered Rate): (0.11,0.01, 0.02)\n",
      "Testing Losses (Innaccuracy, False Positive Rate, Undiscovered Rate): (0.60,0.22, 0.13)\n"
     ]
    }
   ],
   "source": [
    "# training\n",
    "nlp = spacy.load(\"en_core_web_sm\")\n",
    "ner = nlp.get_pipe(\"ner\")\n",
    "ner.add_label(\"FOOD\")\n",
    "\n",
    "optimizer = nlp.create_optimizer()\n",
    "optimizer.learn_rate = 0.005\n",
    "\n",
    "# Disable pipeline components you dont need to change\n",
    "pipe_exceptions = [\"ner\", \"trf_wordpiecer\", \"trf_tok2vec\"]\n",
    "unaffected_pipes = [pipe for pipe in nlp.pipe_names if pipe not in pipe_exceptions]\n",
    "\n",
    "# Import requirements\n",
    "import random\n",
    "from spacy.util import minibatch, compounding\n",
    "from pathlib import Path\n",
    "\n",
    "# load checkpoint model\n",
    "# nlp = spacy.load(\"model/ingredients_model100\")\n",
    "\n",
    "# where to store epoch performance\n",
    "from collections import deque\n",
    "\n",
    "training_loss = deque()\n",
    "\n",
    "validation_loss_accuracy = deque()\n",
    "validation_loss_fpr = deque()\n",
    "validation_loss_ur = deque()\n",
    "\n",
    "testing_loss_accuracy = deque()\n",
    "testing_loss_fpr = deque()\n",
    "testing_loss_ur = deque()\n",
    "\n",
    "\n",
    "model_name = \"model_no_dash_ingreds\"\n",
    "\n",
    "# TRAINING THE MODEL\n",
    "with nlp.disable_pipes(*unaffected_pipes):\n",
    "\n",
    "  # Training for 20 iterations\n",
    "  for iteration in range(1,10):\n",
    "\n",
    "    # shuufling examples  before every iteration\n",
    "    random.shuffle(TRAIN_DATA)\n",
    "    losses = {}\n",
    "    # batch up the examples using spaCy's minibatch\n",
    "    batches = minibatch(TRAIN_DATA, size=compounding(4, 32, 1.05))    \n",
    "\n",
    "    for batch in batches:\n",
    "      nlp.update(batch, losses=losses, drop=0.5, sgd = optimizer)\n",
    "    \n",
    "    print(f\"Epoch {iteration} Training Loss: \", losses)\n",
    "    training_loss.append(losses['ner'])\n",
    "\n",
    "    # get validation predictions and calculate loss\n",
    "    validation[\"prediction\"] = validation[\"sentence\"].apply(lambda x: list(map(str,list(nlp(x).ents))))\n",
    "    validation[\"share ingredients undiscovered\"] = validation.apply(undiscovered_rate, axis = 1)\n",
    "    validation[\"percent ingredients wrong\"] = validation.apply(false_positive_rate, axis = 1)\n",
    "    validation[\"correct\"] = validation.apply(lambda x: x[\"NER\"] == x[\"prediction\"], axis = 1)\n",
    "\n",
    "    test[\"prediction\"] = test[\"sentence\"].apply(lambda x: list(map(str,list(nlp(x).ents))))\n",
    "    test[\"share ingredients undiscovered\"] = test.apply(undiscovered_rate, axis = 1)\n",
    "    test[\"percent ingredients wrong\"] = test.apply(false_positive_rate, axis = 1)\n",
    "    test[\"correct\"] = test.apply(lambda x: x[\"NER\"] == x[\"prediction\"], axis = 1)\n",
    "\n",
    "    validation_loss_accuracy.append(1 - validation[\"correct\"].mean())\n",
    "    validation_loss_fpr.append(validation[\"percent ingredients wrong\"].mean())\n",
    "    validation_loss_ur.append(validation[\"share ingredients undiscovered\"].mean())\n",
    "    print(f\"Validation Losses (Innaccuracy, False Positive Rate, Undiscovered Rate): ({validation_loss_accuracy[-1]:.2f},{validation_loss_fpr[-1]:.2f}, {validation_loss_ur[-1]:.2f})\") \n",
    "\n",
    "\n",
    "    testing_loss_accuracy.append(1 - test[\"correct\"].mean())\n",
    "    testing_loss_fpr.append(test[\"percent ingredients wrong\"].mean())\n",
    "    testing_loss_ur.append(test[\"share ingredients undiscovered\"].mean())\n",
    "    print(f\"Testing Losses (Innaccuracy, False Positive Rate, Undiscovered Rate): ({testing_loss_accuracy[-1]:.2f},{testing_loss_fpr[-1]:.2f}, {testing_loss_ur[-1]:.2f})\") \n",
    "\n",
    "    # every epoch, save the model\n",
    "    nlp.to_disk(f'{model_name}/ingredients_model{iteration}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 532,
   "metadata": {},
   "outputs": [],
   "source": [
    "# save model statistics\n",
    "pd.DataFrame({\"training_loss\":training_loss, \"validation_loss_accuracy\":validation_loss_accuracy, \"validation_loss_fpr\":validation_loss_fpr, \"validation_loss_ur\":validation_loss_ur, \"testing_loss_accuracy\":testing_loss_accuracy, \"testing_loss_fpr\":testing_loss_fpr, \"testing_loss_ur\":testing_loss_ur}).to_csv(f\"{model_name}/model_statistics.csv\", index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 539,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(spring mix, chicken breast, chili, hamburger meat)"
      ]
     },
     "execution_count": 539,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# test model\n",
    "nlp = spacy.load(\"model_no_dash_ingreds/ingredients_model9\")\n",
    "nlp(\"I have spring mix, chicken breast, chili, and hamburger meat\").ents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 577,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# display model statistics\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)\n",
    "ax.plot(range(1,10), training_loss)\n",
    "ax.set_ylabel(\"Loss\", fontsize = 12)\n",
    "ax.set_xlabel(\"Epoch\", fontsize = 12)\n",
    "ax.set_title(\"Food NER Model Spacy Training Loss\", fontsize = 15)\n",
    "\n",
    "fig.savefig(\"training_loss.png\")\n",
    "\n",
    "\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)\n",
    "ax.plot(range(1,10), validation_loss_accuracy, label = \"% Incorrect NER Predictions\")\n",
    "ax.plot(range(1,10), validation_loss_fpr, label = \"% Predicted ingredients which are invalid\")\n",
    "ax.plot(range(1,10), validation_loss_ur, label = \"% Ingredients not in prediction\")\n",
    "ax.set_ylabel(\"Proportion\", fontsize = 12)\n",
    "ax.set_xlabel(\"Epoch\", fontsize = 12)\n",
    "ax.set_title(\"Food NER Model Spacy Validation Loss\", fontsize = 15)\n",
    "legend = ax.legend(loc='upper right', shadow=True, fontsize='small')\n",
    "fig.savefig(\"validation_loss.png\")\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)\n",
    "ax.plot(range(1,10), testing_loss_accuracy, label = \"% Incorrect NER Predictions\")\n",
    "ax.plot(range(1,10), testing_loss_fpr, label = \"% Predicted ingredients which are invalid\")\n",
    "ax.plot(range(1,10), testing_loss_ur, label = \"% Ingredients not in prediction\")\n",
    "ax.set_ylabel(\"Proportion\", fontsize = 12)\n",
    "ax.set_xlabel(\"Epoch\", fontsize = 12)\n",
    "ax.set_title(\"Food NER Model Spacy Testing Loss\", fontsize = 15)\n",
    "legend = ax.legend(loc='best', shadow=True, fontsize = \"small\")\n",
    "\n",
    "fig.savefig(\"testing_loss.png\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.10"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}