{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "96ec678e-b20c-4213-8616-542010f46342",
   "metadata": {},
   "source": [
    "\n",
    "# Similarity Joins Tutorial\n",
    "\n",
    "In this notebook we present the pyJedAI approach in the well-known ABT-BUY dataset using a Similarity Join workflow.\n",
    "\n",
    "\n",
    "![workflow2-cora.png](https://github.com/AI-team-UoA/pyJedAI/blob/main/docs/img/workflow2-cora.png?raw=true)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5274855c-ba95-49b1-ba68-4f50ca2bbd89",
   "metadata": {},
   "source": [
    "## How to install?\n",
    "\n",
    "pyJedAI is an open-source library that can be installed from PyPI.\n",
    "\n",
    "For more: [pypi.org/project/pyjedai/](https://pypi.org/project/pyjedai/)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4697d149-c1a4-4767-9ed1-14444485e409",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python 3.8.17\n"
     ]
    }
   ],
   "source": [
    "!python --version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "776843a2-570d-4d87-bb1d-b5b61f07b1da",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "Requirement already satisfied: imagehash==4.3.1 in /home/jm/anaconda3/envs/pyjedai-new/lib/python3.8/site-packages (from ydata-profiling->pandas-profiling>=3.2->pyjedai) (4.3.1)\n",
      "Requirement already satisfied: wordcloud>=1.9.1 in /home/jm/anaconda3/envs/pyjedai-new/lib/python3.8/site-packages (from ydata-profiling->pandas-profiling>=3.2->pyjedai) (1.9.2)\n",
      "Requirement already satisfied: dacite>=1.8 in /home/jm/anaconda3/envs/pyjedai-new/lib/python3.8/site-packages (from ydata-profiling->pandas-profiling>=3.2->pyjedai) (1.8.1)\n",
      "Requirement already satisfied: PyWavelets in /home/jm/anaconda3/envs/pyjedai-new/lib/python3.8/site-packages (from imagehash==4.3.1->ydata-profiling->pandas-profiling>=3.2->pyjedai) (1.4.1)\n",
      "Requirement already satisfied: attrs>=19.3.0 in /home/jm/anaconda3/envs/pyjedai-new/lib/python3.8/site-packages (from visions[type_image_path]==0.7.5->ydata-profiling->pandas-profiling>=3.2->pyjedai) (22.1.0)\n",
      "Requirement already satisfied: tangled-up-in-unicode>=0.0.4 in /home/jm/anaconda3/envs/pyjedai-new/lib/python3.8/site-packages (from visions[type_image_path]==0.7.5->ydata-profiling->pandas-profiling>=3.2->pyjedai) (0.2.0)\n",
      "Requirement already satisfied: MarkupSafe>=2.0 in /home/jm/anaconda3/envs/pyjedai-new/lib/python3.8/site-packages (from jinja2->torch>=1.6.0->sentence-transformers>=2.2->pyjedai) (2.1.1)\n",
      "Requirement already satisfied: patsy>=0.5.2 in /home/jm/anaconda3/envs/pyjedai-new/lib/python3.8/site-packages (from statsmodels<1,>=0.13.2->ydata-profiling->pandas-profiling>=3.2->pyjedai) (0.5.3)\n",
      "Requirement already satisfied: mpmath>=0.19 in /home/jm/anaconda3/envs/pyjedai-new/lib/python3.8/site-packages (from sympy->torch>=1.6.0->sentence-transformers>=2.2->pyjedai) (1.3.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install pyjedai -U"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6d2e5cf7-ff2e-4271-9242-fe3d638263e9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Name: pyjedai\n",
      "Version: 0.1.0\n",
      "Summary: An open-source library that builds powerful end-to-end Entity Resolution workflows.\n",
      "Home-page: \n",
      "Author: \n",
      "Author-email: Konstantinos Nikoletos <nikoletos.kon@gmail.com>, George Papadakis <gpapadis84@gmail.com>, Jakub Maciejewski <jacobb.maciejewski@gmail.com>, Manolis Koubarakis <koubarak@di.uoa.gr>\n",
      "License: Apache Software License 2.0\n",
      "Location: /home/jm/anaconda3/envs/pyjedai-new/lib/python3.8/site-packages\n",
      "Requires: faiss-cpu, gensim, matplotlib, matplotlib-inline, networkx, nltk, numpy, optuna, ordered-set, pandas, pandas-profiling, pandocfilters, plotly, py-stringmatching, PyYAML, rdflib, rdfpandas, regex, scipy, seaborn, sentence-transformers, strsim, strsimpy, tomli, tqdm, transformers, valentine\n",
      "Required-by: \n"
     ]
    }
   ],
   "source": [
    "!pip show pyjedai"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15d28272-269a-4e87-bb03-0a45a5492a06",
   "metadata": {},
   "source": [
    "Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a0890ce6-3a10-4e66-913f-78095bd786a1",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package stopwords to /home/jm/nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import sys\n",
    "import pandas as pd\n",
    "import networkx\n",
    "from networkx import draw, Graph\n",
    "\n",
    "from pyjedai.utils import print_clusters, print_blocks, print_candidate_pairs\n",
    "from pyjedai.evaluation import Evaluation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "af77914f-5e76-4da8-a0ad-1c53e0111a0f",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Reading the dataset\n",
    "\n",
    "pyJedAI in order to perfrom needs only the tranformation of the initial data into a pandas DataFrame. Hence, pyJedAI can function in every structured or semi-structured data. In this case Abt-Buy dataset is provided as .csv files. \n",
    "\n",
    "<div align=\"center\">\n",
    "    <img align=\"center\" src=\"https://github.com/AI-team-UoA/pyJedAI/blob/main/docs/img/reading-process.png?raw=true\" width=\"800\" />\n",
    "</div>\n",
    "\n",
    "\n",
    "### pyjedai <Data\\> module\n",
    "\n",
    "Data module offers a numpber of options\n",
    "- Selecting the parameters (columns) of the dataframe, in D1 (and in D2)\n",
    "- Prints a detailed text analysis\n",
    "- Stores a hidden mapping of the ids, and creates it if not exists."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3d3feb89-1406-4c90-a1aa-dc2cf4707739",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyjedai.datamodel import Data\n",
    "\n",
    "d1 = pd.read_csv(\"./../data/der/cora/cora.csv\", sep='|')\n",
    "gt = pd.read_csv(\"./../data/der/cora/cora_gt.csv\", sep='|', header=None)\n",
    "attr = ['Entity Id','author', 'title']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fda32323-c74d-4374-b322-5c11a175c3ea",
   "metadata": {},
   "source": [
    "Data is the connecting module of all steps of the workflow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e257597d-ea77-4090-ba34-e1038d8f9a0d",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = Data(\n",
    "    dataset_1=d1,\n",
    "    id_column_name_1='Entity Id',\n",
    "    ground_truth=gt,\n",
    "    attributes_1=attr\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ee7b50f-8b4c-4668-a44c-1ebf8c7a1242",
   "metadata": {},
   "source": [
    "## Similarity Joins\n",
    "\n",
    "__Available algorithms:__\n",
    "\n",
    "- EJoin\n",
    "- TopKJoin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "afd97b7e-4bf8-4256-b9fc-a301e413e834",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jm/public-pyJedAI/pyJedAI/src/pyjedai/joins.py:13: TqdmExperimentalWarning: Using `tqdm.autonotebook.tqdm` in notebook mode. Use `tqdm.tqdm` instead to force console mode (e.g. in jupyter console)\n",
      "  from tqdm.autonotebook import tqdm\n"
     ]
    }
   ],
   "source": [
    "from pyjedai.joins import EJoin, TopKJoin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7bc8ba43-b059-4839-8958-0b31fab95e46",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6251232d68a342e48e2250e40085d73a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "EJoin (jaccard):   0%|          | 0/2590 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "join = EJoin(similarity_threshold = 0.5,\n",
    "             metric = 'jaccard',\n",
    "             tokenization = 'qgrams_multiset',\n",
    "             qgrams = 2)\n",
    "\n",
    "g = join.fit(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8fe34c67-4679-4279-8e7e-35437783ecf3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***************************************************************************************************************************\n",
      "                                         Μethod:  EJoin\n",
      "***************************************************************************************************************************\n",
      "Method name: EJoin\n",
      "Parameters: \n",
      "\tsimilarity_threshold: 0.5\n",
      "\tmetric: jaccard\n",
      "\ttokenization: qgrams_multiset\n",
      "\tqgrams: 2\n",
      "Runtime: 51.6994 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:     65.80% \n",
      "\tRecall:        93.03%\n",
      "\tF1-score:      77.08%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n"
     ]
    }
   ],
   "source": [
    "_ = join.evaluate(g)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e1061a7a-9ccb-41ec-8bdf-42412d4d249c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw(g)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93b72120-4578-4d5c-a408-a24ee78bf6cb",
   "metadata": {},
   "source": [
    "## Entity Clustering\n",
    "\n",
    "It takes as input the similarity graph produced by Entity Matching and partitions it into a set of equivalence clusters, with every cluster corresponding to a distinct real-world object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "500d2ef7-7017-4dba-bbea-acdba8abf5b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyjedai.clustering import ConnectedComponentsClustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "aebd9329-3a4b-48c9-bd05-c7bd4aed3ca9",
   "metadata": {},
   "outputs": [],
   "source": [
    "ec = ConnectedComponentsClustering()\n",
    "clusters = ec.process(g, data, similarity_threshold=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3d2aa574",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***************************************************************************************************************************\n",
      "                                         Μethod:  Connected Components Clustering\n",
      "***************************************************************************************************************************\n",
      "Method name: Connected Components Clustering\n",
      "Parameters: \n",
      "Runtime: 0.3853 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:     48.42% \n",
      "\tRecall:        93.19%\n",
      "\tF1-score:      63.73%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n"
     ]
    }
   ],
   "source": [
    "_ = ec.evaluate(clusters)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "778b9b19-0964-4095-a293-a8336fe0607a",
   "metadata": {},
   "source": [
    "<hr>\n",
    "<div align=\"right\">\n",
    "K. Nikoletos, J. Maciejewski, G. Papadakis & M. Koubarakis\n",
    "</div>\n",
    "<div align=\"right\">\n",
    "<a href=\"https://github.com/Nikoletos-K/pyJedAI/blob/main/LICENSE\">Apache License 2.0</a>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dc77e8ab-087c-48c9-8ee3-56bddba98ea2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.17"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}