{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import gc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Weighted_accuracy = tool_accuracy * volume_factor\n",
    "Volume_factor = tool_requests / all_tools_requests\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>tool</th>\n",
       "      <th>tool_accuracy</th>\n",
       "      <th>total_requests</th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>claude-prediction-offline</td>\n",
       "      <td>66.233766</td>\n",
       "      <td>231</td>\n",
       "      <td>2024-05-10 14:54:40</td>\n",
       "      <td>2024-06-22 04:20:40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>claude-prediction-online</td>\n",
       "      <td>73.538462</td>\n",
       "      <td>325</td>\n",
       "      <td>2024-05-10 17:47:35</td>\n",
       "      <td>2024-07-04 21:55:25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>prediction-offline</td>\n",
       "      <td>69.532755</td>\n",
       "      <td>4152</td>\n",
       "      <td>2024-05-10 14:14:55</td>\n",
       "      <td>2024-07-06 07:46:35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>prediction-offline-sme</td>\n",
       "      <td>77.647059</td>\n",
       "      <td>85</td>\n",
       "      <td>2024-06-16 00:42:00</td>\n",
       "      <td>2024-06-21 15:04:40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>prediction-online</td>\n",
       "      <td>70.135444</td>\n",
       "      <td>10484</td>\n",
       "      <td>2024-05-10 14:11:15</td>\n",
       "      <td>2024-07-06 08:13:10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        tool  tool_accuracy  total_requests  \\\n",
       "0  claude-prediction-offline      66.233766             231   \n",
       "1   claude-prediction-online      73.538462             325   \n",
       "2         prediction-offline      69.532755            4152   \n",
       "3     prediction-offline-sme      77.647059              85   \n",
       "4          prediction-online      70.135444           10484   \n",
       "\n",
       "                   min                  max  \n",
       "0  2024-05-10 14:54:40  2024-06-22 04:20:40  \n",
       "1  2024-05-10 17:47:35  2024-07-04 21:55:25  \n",
       "2  2024-05-10 14:14:55  2024-07-06 07:46:35  \n",
       "3  2024-06-16 00:42:00  2024-06-21 15:04:40  \n",
       "4  2024-05-10 14:11:15  2024-07-06 08:13:10  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read accuracy csv file\n",
    "tools_accuracy_info = pd.read_csv(\"../data/tools_accuracy.csv\")\n",
    "tools_accuracy_info.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "57603"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "global_requests = tools_accuracy_info.total_requests.sum()\n",
    "global_requests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_weighted_accuracy(row, global_requests: int):\n",
    "    '''Function to compute the weighted accuracy of a tool'''\n",
    "    return row[\"tool_accuracy\"] * (row[\"total_requests\"]/global_requests)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>tool</th>\n",
       "      <th>tool_accuracy</th>\n",
       "      <th>total_requests</th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "      <th>weighted_accuracy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>claude-prediction-offline</td>\n",
       "      <td>66.233766</td>\n",
       "      <td>231</td>\n",
       "      <td>2024-05-10 14:54:40</td>\n",
       "      <td>2024-06-22 04:20:40</td>\n",
       "      <td>0.265611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>claude-prediction-online</td>\n",
       "      <td>73.538462</td>\n",
       "      <td>325</td>\n",
       "      <td>2024-05-10 17:47:35</td>\n",
       "      <td>2024-07-04 21:55:25</td>\n",
       "      <td>0.414909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>prediction-offline</td>\n",
       "      <td>69.532755</td>\n",
       "      <td>4152</td>\n",
       "      <td>2024-05-10 14:14:55</td>\n",
       "      <td>2024-07-06 07:46:35</td>\n",
       "      <td>5.011892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>prediction-offline-sme</td>\n",
       "      <td>77.647059</td>\n",
       "      <td>85</td>\n",
       "      <td>2024-06-16 00:42:00</td>\n",
       "      <td>2024-06-21 15:04:40</td>\n",
       "      <td>0.114577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>prediction-online</td>\n",
       "      <td>70.135444</td>\n",
       "      <td>10484</td>\n",
       "      <td>2024-05-10 14:11:15</td>\n",
       "      <td>2024-07-06 08:13:10</td>\n",
       "      <td>12.764960</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        tool  tool_accuracy  total_requests  \\\n",
       "0  claude-prediction-offline      66.233766             231   \n",
       "1   claude-prediction-online      73.538462             325   \n",
       "2         prediction-offline      69.532755            4152   \n",
       "3     prediction-offline-sme      77.647059              85   \n",
       "4          prediction-online      70.135444           10484   \n",
       "\n",
       "                   min                  max  weighted_accuracy  \n",
       "0  2024-05-10 14:54:40  2024-06-22 04:20:40           0.265611  \n",
       "1  2024-05-10 17:47:35  2024-07-04 21:55:25           0.414909  \n",
       "2  2024-05-10 14:14:55  2024-07-06 07:46:35           5.011892  \n",
       "3  2024-06-16 00:42:00  2024-06-21 15:04:40           0.114577  \n",
       "4  2024-05-10 14:11:15  2024-07-06 08:13:10          12.764960  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tools_accuracy_info[\"weighted_accuracy\"] = tools_accuracy_info.apply(lambda x: get_weighted_accuracy(x, global_requests), axis=1)\n",
    "tools_accuracy_info.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Painting the ranking"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "tools_accuracy_info = tools_accuracy_info.sort_values(by='weighted_accuracy', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='weighted_accuracy', ylabel='tool'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(palette=\"viridis\")\n",
    "sns.barplot(tools_accuracy_info, x=\"weighted_accuracy\", y=\"tool\", hue=\"tool\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "tools_accuracy_info = tools_accuracy_info.sort_values(by='tool_accuracy', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='tool_accuracy', ylabel='tool'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(palette=\"viridis\")\n",
    "sns.barplot(tools_accuracy_info, x=\"tool_accuracy\", y=\"tool\", hue=\"tool\", palette=\"viridis\")"
   ]
  }
 ],
 "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": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}