{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "566afa18",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import gc\n",
    "gc.collect()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "52d4f4de",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f6a787f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "abd16a3416924e40af56ce286f68f8a6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/6981 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import json\n",
    "from tqdm.auto import tqdm\n",
    "# Specify the path to the folder containing the JSON files\n",
    "folder_path = r'D:\\Xelp_work\\FSL Project\\Sprint_2\\HCFA_data\\donut_data\\valid\\key'\n",
    "\n",
    "# Initialize an empty DataFrame\n",
    "master_df = pd.DataFrame()\n",
    "\n",
    "# Function to split and expand rows based on the Value column\n",
    "master_df = pd.DataFrame()\n",
    "\n",
    "# Function to split and expand rows based on the Value column\n",
    "def split_and_expand(row):\n",
    "    keys = [row['KeyName']] * len(row['Value'].split(';'))\n",
    "    values = row['Value'].split(';')\n",
    "    filenames = [row['FileName']] * len(values)  # Ensure FileName is carried over\n",
    "    return pd.DataFrame({'FileName': filenames, 'KeyName': keys, 'Value': values})\n",
    "\n",
    "# Iterate through all the JSON files in the folder\n",
    "# for filename in tqdm(os.listdir(folder_path)):\n",
    "#     if filename.endswith('.json'):\n",
    "#         file_path = os.path.join(folder_path, filename)\n",
    "        \n",
    "#         # Read the JSON file\n",
    "#         with open(file_path, 'r') as file:\n",
    "#             data = json.load(file)\n",
    "#         # Convert the JSON data into a DataFrame with columns FileName, KeyName, and Value\n",
    "#         rows = []\n",
    "#         for key, value in data.items():\n",
    "#             rows.append({'FileName': os.path.splitext(filename)[0], 'KeyName': key, 'Value': value})\n",
    "#         df = pd.DataFrame(rows)\n",
    "#         # Apply split_and_expand to each row and combine the results\n",
    "#         expanded_df = df.apply(lambda row: split_and_expand(row), axis=1)\n",
    "#         # Concatenate the expanded dataframes into one DataFrame\n",
    "#         expanded_df = pd.concat(expanded_df.values, ignore_index=True)\n",
    "#         # Append the DataFrame to the master DataFrame\n",
    "#         master_df = pd.concat([master_df, expanded_df], ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "b3cce963",
   "metadata": {},
   "outputs": [],
   "source": [
    "master_df['FileName'] = master_df['FileName'].apply(lambda x: f\"{x}.tiff\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d718a7b6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6981"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master_df['FileName'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "8adccea6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'BSC134A9O003_000_HCFA.tiff'"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master_df['FileName'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "cff6418d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# master_df.to_parquet(r\"D:\\Xelp_work\\FSL Project\\Sprint_2\\HCFA_Results\\Ground_truth_from_Json.parquet\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "f22688ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "master_df = pd.read_parquet(r\"D:\\Xelp_work\\FSL Project\\Sprint_2\\HCFA_Results\\Ground_truth_from_Json.parquet\")\n",
    "Extraction_data = pd.read_parquet(r\"D:\\Xelp_work\\FSL Project\\Sprint_2\\HCFA_Results\\HCFA_Validation_data_results.parquet\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "07be99c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Index(['FileName', 'KeyName', 'Value'], dtype='object'),\n",
       " Index(['Field_Name', 'Value', 'Image_Name'], dtype='object'))"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master_df.columns, Extraction_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "de0834fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "Extraction_data.rename(columns={'Image_Name': 'FileName'}, inplace=True)\n",
    "# Rename Field_Name to KeyName in Extraction_data to match master_df\n",
    "Extraction_data.rename(columns={'Field_Name': 'KeyName'}, inplace=True)\n",
    "# Rename Value columns for clarity\n",
    "Extraction_data.rename(columns={'Value': 'XELP_Output'}, inplace=True)\n",
    "master_df.rename(columns={'Value': 'Ground_truth'}, inplace=True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "f5703737",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((1268666, 3), (1264044, 3))"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master_df.shape, Extraction_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "237db0d6",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Index(['FileName', 'KeyName', 'Ground_truth'], dtype='object'),\n",
       " Index(['KeyName', 'XELP_Output', 'FileName'], dtype='object'))"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master_df.columns, Extraction_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "id": "273e6bb4",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gc.collect()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "id": "89bf0570",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████| 6981/6981 [08:14<00:00, 14.13it/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FileName</th>\n",
       "      <th>KeyName</th>\n",
       "      <th>Ground_truth</th>\n",
       "      <th>XELP_Output</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BSC134A9O003_000_HCFA.tiff</td>\n",
       "      <td>1A_PriInsIDNumber</td>\n",
       "      <td>R6J588215755</td>\n",
       "      <td>R6J588215755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BSC134A9O003_000_HCFA.tiff</td>\n",
       "      <td>2_PatFullName</td>\n",
       "      <td>SUMANTRI, TEGUH</td>\n",
       "      <td>SUMANTRI, TEGUH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BSC134A9O003_000_HCFA.tiff</td>\n",
       "      <td>3_PatDOB</td>\n",
       "      <td>10151973</td>\n",
       "      <td>10151973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BSC134A9O003_000_HCFA.tiff</td>\n",
       "      <td>5_PatAddr1</td>\n",
       "      <td>14360 VOSE ST APT219</td>\n",
       "      <td>14360 VOSE ST APT219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BSC134A9O003_000_HCFA.tiff</td>\n",
       "      <td>5_PatCity</td>\n",
       "      <td>VAN NUYS</td>\n",
       "      <td>VAN NUYS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270014</th>\n",
       "      <td>PHP8843RO035_000_HCFA.tiff</td>\n",
       "      <td>24_AnesEndTime</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>[BLANK]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270015</th>\n",
       "      <td>PHP8843RO035_000_HCFA.tiff</td>\n",
       "      <td>24_AnesTotalTime</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>[BLANK]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270016</th>\n",
       "      <td>PHP8843RO035_000_HCFA.tiff</td>\n",
       "      <td>24_AnesTotalMin</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>[BLANK]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270017</th>\n",
       "      <td>PHP8843RO035_000_HCFA.tiff</td>\n",
       "      <td>24_AnesMod</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>[BLANK]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270018</th>\n",
       "      <td>PHP8843RO035_000_HCFA.tiff</td>\n",
       "      <td>24_AnesUnits</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>[BLANK]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1270019 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           FileName            KeyName          Ground_truth  \\\n",
       "0        BSC134A9O003_000_HCFA.tiff  1A_PriInsIDNumber          R6J588215755   \n",
       "1        BSC134A9O003_000_HCFA.tiff      2_PatFullName       SUMANTRI, TEGUH   \n",
       "2        BSC134A9O003_000_HCFA.tiff           3_PatDOB              10151973   \n",
       "3        BSC134A9O003_000_HCFA.tiff         5_PatAddr1  14360 VOSE ST APT219   \n",
       "4        BSC134A9O003_000_HCFA.tiff          5_PatCity              VAN NUYS   \n",
       "...                             ...                ...                   ...   \n",
       "1270014  PHP8843RO035_000_HCFA.tiff     24_AnesEndTime               [BLANK]   \n",
       "1270015  PHP8843RO035_000_HCFA.tiff   24_AnesTotalTime               [BLANK]   \n",
       "1270016  PHP8843RO035_000_HCFA.tiff    24_AnesTotalMin               [BLANK]   \n",
       "1270017  PHP8843RO035_000_HCFA.tiff         24_AnesMod               [BLANK]   \n",
       "1270018  PHP8843RO035_000_HCFA.tiff       24_AnesUnits               [BLANK]   \n",
       "\n",
       "                  XELP_Output  \n",
       "0                R6J588215755  \n",
       "1             SUMANTRI, TEGUH  \n",
       "2                    10151973  \n",
       "3        14360 VOSE ST APT219  \n",
       "4                    VAN NUYS  \n",
       "...                       ...  \n",
       "1270014               [BLANK]  \n",
       "1270015               [BLANK]  \n",
       "1270016               [BLANK]  \n",
       "1270017               [BLANK]  \n",
       "1270018               [BLANK]  \n",
       "\n",
       "[1270019 rows x 4 columns]"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from tqdm import tqdm\n",
    "\n",
    "# Initialize an empty DataFrame to store the merged results\n",
    "Merged_data_frame_all_images = pd.DataFrame()\n",
    "gc.collect()\n",
    "# Iterate over each group of images in the master DataFrame\n",
    "for img_name, grp_b_im in tqdm(master_df.groupby('FileName')):\n",
    "    # Handle duplicates in the master DataFrame\n",
    "    counts_master = grp_b_im['KeyName'].value_counts()\n",
    "    mask_master = grp_b_im['KeyName'].map(counts_master) > 1\n",
    "    grp_b_im.loc[mask_master, 'KeyName'] = grp_b_im['KeyName'] + (grp_b_im.groupby('KeyName').cumcount() + 1).astype(str)\n",
    "    \n",
    "    # Filter and handle duplicates in the extraction DataFrame\n",
    "    extraction_for_img = Extraction_data[Extraction_data[\"FileName\"] == img_name]\n",
    "    counts_extraction = extraction_for_img['KeyName'].value_counts()\n",
    "    mask_extraction = extraction_for_img['KeyName'].map(counts_extraction) > 1\n",
    "    extraction_for_img.loc[mask_extraction, 'KeyName'] = extraction_for_img['KeyName'] + (extraction_for_img.groupby('KeyName').cumcount() + 1).astype(str)\n",
    "    \n",
    "    # Merge the processed groups\n",
    "    each_image_merged = pd.merge(grp_b_im, extraction_for_img, on=['FileName','KeyName'], how='outer')\n",
    "    \n",
    "    # Concatenate the merged data to the final DataFrame\n",
    "    Merged_data_frame_all_images = pd.concat([Merged_data_frame_all_images, each_image_merged], ignore_index=True)\n",
    "\n",
    "# Display the final merged DataFrame\n",
    "Merged_data_frame_all_images.fillna('[BLANK]', inplace=True)\n",
    "Merged_data_frame_all_images[\"XELP_Output\"] = Merged_data_frame_all_images[\"XELP_Output\"].str.replace(\"<one>\", \"1\", regex=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "id": "9ce59f06",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1270019, 4)"
      ]
     },
     "execution_count": 187,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Merged_data_frame_all_images.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "id": "24f698b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FileName</th>\n",
       "      <th>KeyName</th>\n",
       "      <th>Ground_truth</th>\n",
       "      <th>XELP_Output</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BSC134A9O003_000_HCFA.tiff</td>\n",
       "      <td>1A_PriInsIDNumber</td>\n",
       "      <td>R6J588215755</td>\n",
       "      <td>R6J588215755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BSC134A9O003_000_HCFA.tiff</td>\n",
       "      <td>2_PatFullName</td>\n",
       "      <td>SUMANTRI, TEGUH</td>\n",
       "      <td>SUMANTRI, TEGUH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BSC134A9O003_000_HCFA.tiff</td>\n",
       "      <td>3_PatDOB</td>\n",
       "      <td>10151973</td>\n",
       "      <td>10151973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BSC134A9O003_000_HCFA.tiff</td>\n",
       "      <td>5_PatAddr1</td>\n",
       "      <td>14360 VOSE ST APT219</td>\n",
       "      <td>14360 VOSE ST APT219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BSC134A9O003_000_HCFA.tiff</td>\n",
       "      <td>5_PatCity</td>\n",
       "      <td>VAN NUYS</td>\n",
       "      <td>VAN NUYS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>1270014</th>\n",
       "      <td>PHP8843RO035_000_HCFA.tiff</td>\n",
       "      <td>24_AnesEndTime</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>[BLANK]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270015</th>\n",
       "      <td>PHP8843RO035_000_HCFA.tiff</td>\n",
       "      <td>24_AnesTotalTime</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>[BLANK]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270016</th>\n",
       "      <td>PHP8843RO035_000_HCFA.tiff</td>\n",
       "      <td>24_AnesTotalMin</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>[BLANK]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270017</th>\n",
       "      <td>PHP8843RO035_000_HCFA.tiff</td>\n",
       "      <td>24_AnesMod</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>[BLANK]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270018</th>\n",
       "      <td>PHP8843RO035_000_HCFA.tiff</td>\n",
       "      <td>24_AnesUnits</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>[BLANK]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1270019 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           FileName            KeyName          Ground_truth  \\\n",
       "0        BSC134A9O003_000_HCFA.tiff  1A_PriInsIDNumber          R6J588215755   \n",
       "1        BSC134A9O003_000_HCFA.tiff      2_PatFullName       SUMANTRI, TEGUH   \n",
       "2        BSC134A9O003_000_HCFA.tiff           3_PatDOB              10151973   \n",
       "3        BSC134A9O003_000_HCFA.tiff         5_PatAddr1  14360 VOSE ST APT219   \n",
       "4        BSC134A9O003_000_HCFA.tiff          5_PatCity              VAN NUYS   \n",
       "...                             ...                ...                   ...   \n",
       "1270014  PHP8843RO035_000_HCFA.tiff     24_AnesEndTime               [BLANK]   \n",
       "1270015  PHP8843RO035_000_HCFA.tiff   24_AnesTotalTime               [BLANK]   \n",
       "1270016  PHP8843RO035_000_HCFA.tiff    24_AnesTotalMin               [BLANK]   \n",
       "1270017  PHP8843RO035_000_HCFA.tiff         24_AnesMod               [BLANK]   \n",
       "1270018  PHP8843RO035_000_HCFA.tiff       24_AnesUnits               [BLANK]   \n",
       "\n",
       "                  XELP_Output  \n",
       "0                R6J588215755  \n",
       "1             SUMANTRI, TEGUH  \n",
       "2                    10151973  \n",
       "3        14360 VOSE ST APT219  \n",
       "4                    VAN NUYS  \n",
       "...                       ...  \n",
       "1270014               [BLANK]  \n",
       "1270015               [BLANK]  \n",
       "1270016               [BLANK]  \n",
       "1270017               [BLANK]  \n",
       "1270018               [BLANK]  \n",
       "\n",
       "[1270019 rows x 4 columns]"
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Merged_data_frame_all_images.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "id": "cea45868",
   "metadata": {},
   "outputs": [],
   "source": [
    "error_images = [\"BSC7N4NDO024_000_HCFA.tiff\", \"BSC3844JO030_000_HCFA.tiff\", \"BSC854FEO028_000_HCFA.tiff\", \"BSC85433O001_000_HCFA.tiff\", \"BSC7T6TRO002_000_HCFA.tiff\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "id": "98b19b2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "Merged_data_frame_all_images = Merged_data_frame_all_images[~Merged_data_frame_all_images['FileName'].isin(error_images)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "id": "a9bc6b7c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def strip_whitespace(x):\n",
    "    if isinstance(x, str):  # Check if the value is a string\n",
    "        return x.strip()\n",
    "    return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "id": "c78a56ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "Merged_data_frame_all_images = Merged_data_frame_all_images.applymap(strip_whitespace)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "id": "d4293a83",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████| 1268992/1268992 [00:07<00:00, 167852.61it/s]\n"
     ]
    }
   ],
   "source": [
    "tqdm.pandas()\n",
    "\n",
    "# Apply the lambda function with progress tracking to add the 'Matching' column\n",
    "Merged_data_frame_all_images['Matching'] = Merged_data_frame_all_images.progress_apply(\n",
    "    lambda x: 1 if str(x['Ground_truth']).strip() == str(x['XELP_Output']).strip() else 0,\n",
    "    axis=1\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "id": "1b09aa92",
   "metadata": {},
   "outputs": [],
   "source": [
    "Merged_data_frame_all_images.to_parquet(\"HCFA_Validation_split_evaluation.parquet\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "id": "cc4fce57",
   "metadata": {},
   "outputs": [],
   "source": [
    "Merged_data_frame_all_images_wo_blank = Merged_data_frame_all_images[Merged_data_frame_all_images[\"XELP_Output\"] != '[BLANK]']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "id": "1161ccfe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FileName</th>\n",
       "      <th>KeyName</th>\n",
       "      <th>Ground_truth</th>\n",
       "      <th>XELP_Output</th>\n",
       "      <th>Matching</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BSC134A9O003_000_HCFA.tiff</td>\n",
       "      <td>1A_PriInsIDNumber</td>\n",
       "      <td>R6J588215755</td>\n",
       "      <td>R6J588215755</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BSC134A9O003_000_HCFA.tiff</td>\n",
       "      <td>2_PatFullName</td>\n",
       "      <td>SUMANTRI, TEGUH</td>\n",
       "      <td>SUMANTRI, TEGUH</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BSC134A9O003_000_HCFA.tiff</td>\n",
       "      <td>3_PatDOB</td>\n",
       "      <td>10151973</td>\n",
       "      <td>10151973</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BSC134A9O003_000_HCFA.tiff</td>\n",
       "      <td>5_PatAddr1</td>\n",
       "      <td>14360 VOSE ST APT219</td>\n",
       "      <td>14360 VOSE ST APT219</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BSC134A9O003_000_HCFA.tiff</td>\n",
       "      <td>5_PatCity</td>\n",
       "      <td>VAN NUYS</td>\n",
       "      <td>VAN NUYS</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1269996</th>\n",
       "      <td>PHP8843RO035_000_HCFA.tiff</td>\n",
       "      <td>10A_PatConditionEmpN</td>\n",
       "      <td>X</td>\n",
       "      <td>X</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1269998</th>\n",
       "      <td>PHP8843RO035_000_HCFA.tiff</td>\n",
       "      <td>10B_PatConditionAutoN</td>\n",
       "      <td>X</td>\n",
       "      <td>X</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270000</th>\n",
       "      <td>PHP8843RO035_000_HCFA.tiff</td>\n",
       "      <td>10C_PatConditionOtherN</td>\n",
       "      <td>X</td>\n",
       "      <td>X</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270010</th>\n",
       "      <td>PHP8843RO035_000_HCFA.tiff</td>\n",
       "      <td>25_BillProvEIN</td>\n",
       "      <td>X</td>\n",
       "      <td>X</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270011</th>\n",
       "      <td>PHP8843RO035_000_HCFA.tiff</td>\n",
       "      <td>27_AcceptAssignmentY</td>\n",
       "      <td>X</td>\n",
       "      <td>X</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>443019 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           FileName                 KeyName  \\\n",
       "0        BSC134A9O003_000_HCFA.tiff       1A_PriInsIDNumber   \n",
       "1        BSC134A9O003_000_HCFA.tiff           2_PatFullName   \n",
       "2        BSC134A9O003_000_HCFA.tiff                3_PatDOB   \n",
       "3        BSC134A9O003_000_HCFA.tiff              5_PatAddr1   \n",
       "4        BSC134A9O003_000_HCFA.tiff               5_PatCity   \n",
       "...                             ...                     ...   \n",
       "1269996  PHP8843RO035_000_HCFA.tiff    10A_PatConditionEmpN   \n",
       "1269998  PHP8843RO035_000_HCFA.tiff   10B_PatConditionAutoN   \n",
       "1270000  PHP8843RO035_000_HCFA.tiff  10C_PatConditionOtherN   \n",
       "1270010  PHP8843RO035_000_HCFA.tiff          25_BillProvEIN   \n",
       "1270011  PHP8843RO035_000_HCFA.tiff    27_AcceptAssignmentY   \n",
       "\n",
       "                 Ground_truth           XELP_Output  Matching  \n",
       "0                R6J588215755          R6J588215755         1  \n",
       "1             SUMANTRI, TEGUH       SUMANTRI, TEGUH         1  \n",
       "2                    10151973              10151973         1  \n",
       "3        14360 VOSE ST APT219  14360 VOSE ST APT219         1  \n",
       "4                    VAN NUYS              VAN NUYS         1  \n",
       "...                       ...                   ...       ...  \n",
       "1269996                     X                     X         1  \n",
       "1269998                     X                     X         1  \n",
       "1270000                     X                     X         1  \n",
       "1270010                     X                     X         1  \n",
       "1270011                     X                     X         1  \n",
       "\n",
       "[443019 rows x 5 columns]"
      ]
     },
     "execution_count": 212,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Merged_data_frame_all_images_wo_blank"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "id": "dc18dcc2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Matching\n",
       "1    0.975811\n",
       "0    0.024189\n",
       "Name: proportion, dtype: float64"
      ]
     },
     "execution_count": 210,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Merged_data_frame_all_images_wo_blank['Matching'].value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "id": "cd718a27",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KeyName\n",
       "33_BillProvState        6940\n",
       "5_PatState              6927\n",
       "3_PatDOB                6875\n",
       "25_BillProvFedIdCode    6871\n",
       "33_BillProvCity         6863\n",
       "                        ... \n",
       "24_NDCUnitsQual6           7\n",
       "24_NDC5                    6\n",
       "10A_PatConditionEmpY       6\n",
       "24_NDC6                    3\n",
       "24_AnesStartTime2          1\n",
       "Name: count, Length: 202, dtype: int64"
      ]
     },
     "execution_count": 216,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Merged_data_frame_all_images_wo_blank[Merged_data_frame_all_images_wo_blank['Matching'] == 1]['KeyName'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "id": "f3c01d65",
   "metadata": {},
   "outputs": [],
   "source": [
    "Merged_data_frame_all_images[\"XELP_Output\"] = Merged_data_frame_all_images[\"XELP_Output\"].str.replace(\"<one>\", \"1\", regex=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "id": "8d1a785f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FileName</th>\n",
       "      <th>KeyName</th>\n",
       "      <th>Ground_truth</th>\n",
       "      <th>XELP_Output</th>\n",
       "      <th>Matching</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [FileName, KeyName, Ground_truth, XELP_Output, Matching]\n",
       "Index: []"
      ]
     },
     "execution_count": 230,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "Merged_data_frame_all_images[(Merged_data_frame_all_images['XELP_Output'] != '[BLANK]')&(Merged_data_frame_all_images['KeyName'] == '24_AnesStartTime') & (Merged_data_frame_all_images['Matching'] == 0)][:60]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "id": "38573620",
   "metadata": {},
   "outputs": [],
   "source": [
    "blank_keys = [\"20_OSLabCharges\", \"11D_PriInsOtherPlanY\", \"19_LocalUse\", '17_RefProvOrgName',\n",
    " '30_BalanceDue',\n",
    " '24_NDCCharges',\n",
    " '24_NDCQualifier',\n",
    " '7_PriInsPhoneNumber','32_AmbToFacProvPostCodeExt',\n",
    " '20_OSLabY',\n",
    " '31_RenProvTaxonomyCode',\n",
    " '24C_EMG',\n",
    " '11D_PriInsOtherPlanN',\n",
    " '5_PatPhoneNumber',\n",
    " '20_OSLabN',\n",
    " '22_MedicaidCode',\n",
    " '29_AmountPaid',\n",
    " '33_BillProvPhone',\n",
    " '16_PatUTWToDate',\n",
    " '22_MedicaidRefNum',\n",
    " '24_AnesMod']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "id": "5b951dd3",
   "metadata": {},
   "outputs": [],
   "source": [
    "dummy = Merged_data_frame_all_images[Merged_data_frame_all_images['KeyName'].isin(blank_keys)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "id": "7d244a8c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FileName</th>\n",
       "      <th>KeyName</th>\n",
       "      <th>Ground_truth</th>\n",
       "      <th>XELP_Output</th>\n",
       "      <th>Matching</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>BSC134A9O003_000_HCFA.tiff</td>\n",
       "      <td>5_PatPhoneNumber</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>BSC134A9O003_000_HCFA.tiff</td>\n",
       "      <td>7_PriInsPhoneNumber</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>BSC134A9O003_000_HCFA.tiff</td>\n",
       "      <td>16_PatUTWToDate</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>BSC134A9O003_000_HCFA.tiff</td>\n",
       "      <td>17_RefProvOrgName</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>BSC134A9O003_000_HCFA.tiff</td>\n",
       "      <td>20_OSLabCharges</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270004</th>\n",
       "      <td>PHP8843RO035_000_HCFA.tiff</td>\n",
       "      <td>11D_PriInsOtherPlanN</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270005</th>\n",
       "      <td>PHP8843RO035_000_HCFA.tiff</td>\n",
       "      <td>19_LocalUse</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270007</th>\n",
       "      <td>PHP8843RO035_000_HCFA.tiff</td>\n",
       "      <td>20_OSLabY</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270008</th>\n",
       "      <td>PHP8843RO035_000_HCFA.tiff</td>\n",
       "      <td>20_OSLabN</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270017</th>\n",
       "      <td>PHP8843RO035_000_HCFA.tiff</td>\n",
       "      <td>24_AnesMod</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>[BLANK]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>136532 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           FileName               KeyName Ground_truth  \\\n",
       "7        BSC134A9O003_000_HCFA.tiff      5_PatPhoneNumber      [BLANK]   \n",
       "13       BSC134A9O003_000_HCFA.tiff   7_PriInsPhoneNumber      [BLANK]   \n",
       "33       BSC134A9O003_000_HCFA.tiff       16_PatUTWToDate      [BLANK]   \n",
       "38       BSC134A9O003_000_HCFA.tiff     17_RefProvOrgName      [BLANK]   \n",
       "42       BSC134A9O003_000_HCFA.tiff       20_OSLabCharges      [BLANK]   \n",
       "...                             ...                   ...          ...   \n",
       "1270004  PHP8843RO035_000_HCFA.tiff  11D_PriInsOtherPlanN      [BLANK]   \n",
       "1270005  PHP8843RO035_000_HCFA.tiff           19_LocalUse      [BLANK]   \n",
       "1270007  PHP8843RO035_000_HCFA.tiff             20_OSLabY      [BLANK]   \n",
       "1270008  PHP8843RO035_000_HCFA.tiff             20_OSLabN      [BLANK]   \n",
       "1270017  PHP8843RO035_000_HCFA.tiff            24_AnesMod      [BLANK]   \n",
       "\n",
       "        XELP_Output  Matching  \n",
       "7           [BLANK]         1  \n",
       "13          [BLANK]         1  \n",
       "33          [BLANK]         1  \n",
       "38          [BLANK]         1  \n",
       "42          [BLANK]         1  \n",
       "...             ...       ...  \n",
       "1270004     [BLANK]         1  \n",
       "1270005     [BLANK]         1  \n",
       "1270007     [BLANK]         1  \n",
       "1270008     [BLANK]         1  \n",
       "1270017     [BLANK]         1  \n",
       "\n",
       "[136532 rows x 5 columns]"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dummy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "5bc30647",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KeyName\n",
       "32_FacProvOrgName         1044\n",
       "31_PrnRenProvFullName      815\n",
       "26_PatAcctNo               612\n",
       "33_BillProvOrgName         608\n",
       "33_BillProvAddr1           544\n",
       "32_FacProvAddr1            520\n",
       "32_FacProvFullName         465\n",
       "31_RenDateSigned           359\n",
       "2_PatFullName              347\n",
       "4_PriInsFullName           327\n",
       "33_BillProvFullName        303\n",
       "1A_PriInsIDNumber          282\n",
       "13_PriSignonFileList       256\n",
       "32_FacProvPostCode         253\n",
       "33_BillProvPostCode        239\n",
       "17_RefProvFullName         214\n",
       "33_BillProvNPIId           206\n",
       "7_PriInsAddr1              180\n",
       "5_PatAddr1                 177\n",
       "11_PriInsPolGrpNumber      167\n",
       "12_PatSignonFile           155\n",
       "9_SecInsFullName           143\n",
       "11C_PriInsPlanName         142\n",
       "28_TotalCharges            141\n",
       "32_FacProvCity             125\n",
       "32_FacProvNPIId            116\n",
       "21_DiagCode2               108\n",
       "33_BillProvCity            108\n",
       "25_BillProvEIN             108\n",
       "25_BillProvFedIdCode       104\n",
       "24J_RenProvNPIId            97\n",
       "21_DiagCode1                93\n",
       "33_BillProvOtherIdFull      91\n",
       "25_BillProvSSN              89\n",
       "5_PatCity                   88\n",
       "23_PriorAuthNum             88\n",
       "3_PatDOB                    87\n",
       "24J_RenProvNPIId1           83\n",
       "24J_RenProvNPIId2           82\n",
       "5_PatPostCode               81\n",
       "9A_SecInsPolGrpNumber       78\n",
       "17B_RefProvNPI              77\n",
       "7_PriInsPostCode            76\n",
       "7_PriInsCity                75\n",
       "24J_RenProvOtherId2         74\n",
       "11B_PriInsEmpName           74\n",
       "11A_PriInsDOB               71\n",
       "24A_FromDate2               68\n",
       "24F_LineCharges2            67\n",
       "24J_RenProvOtherId1         66\n",
       "24_NDC3                     65\n",
       "24A_FromDate1               64\n",
       "21_DiagCode                 63\n",
       "24_NDC2                     59\n",
       "21_DiagCode4                59\n",
       "21_DiagCode3                57\n",
       "24E_DiagPtr1                57\n",
       "32_FacProvOtherIdFull       56\n",
       "24F_LineCharges1            56\n",
       "11B_OtherClaimIdCode        56\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Merged_data_frame_all_images[Merged_data_frame_all_images['Matching'] == 0]['KeyName'].value_counts()[:60]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "89d033b0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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