{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # creating a function which takes in a game id and returns the dataframe of the game's play by play data\n",
    "\n",
    "\n",
    "# def get_game_pbp(game_id):\n",
    "#     # Construct the URL for the play-by-play endpoint\n",
    "#     url = f\"https://api.sportradar.us/nba/trial/v8/en/games/{game_id}/pbp.json?api_key={api_key}\"\n",
    "\n",
    "#     # Make a GET request to the endpoint\n",
    "#     game_data = requests.get(url)\n",
    "\n",
    "#     # Check if the request was successful\n",
    "#     if game_data.status_code == 200:\n",
    "#         # Convert the response to JSON\n",
    "#         data = game_data.json()\n",
    "\n",
    "#         # Extract the relevant information\n",
    "#         scheduled = data[\"scheduled\"]  # This is when the game was scheduled\n",
    "#         home_team_name = data[\"home\"][\"market\"] + \" \" + data[\"home\"][\"name\"]\n",
    "#         away_team_name = data[\"away\"][\"market\"] + \" \" + data[\"away\"][\"name\"]\n",
    "#         descriptions = []\n",
    "#         clocks = []\n",
    "#         event_types = []\n",
    "#         home_points = []\n",
    "#         away_points = []\n",
    "#         quarters = []\n",
    "\n",
    "#         for period in data[\"periods\"]:\n",
    "#             for event in period[\"events\"]:\n",
    "#                 descriptions.append(\n",
    "#                     event.get(\"description\", None)\n",
    "#                 )  # This is what happened\n",
    "#                 clocks.append(event.get(\"clock\", None))  # This is when it happened\n",
    "#                 event_types.append(\n",
    "#                     event.get(\"event_type\", None)\n",
    "#                 )  # This is the type of event\n",
    "#                 home_points.append(\n",
    "#                     event.get(\"home_points\", None)\n",
    "#                 )  # This is the home team's points\n",
    "#                 away_points.append(\n",
    "#                     event.get(\"away_points\", None)\n",
    "#                 )  # This is the visitor team's points\n",
    "#                 quarters.append(period.get(\"number\", None))  # This is the quarter\n",
    "\n",
    "#         # Create a DataFrame from the extracted information\n",
    "#         df = pd.DataFrame(\n",
    "#             {\n",
    "#                 \"date\": scheduled,  # This is when the game was scheduled\n",
    "#                 \"home_team_name\": home_team_name,\n",
    "#                 \"away_team_name\": away_team_name,\n",
    "#                 \"description\": descriptions,\n",
    "#                 \"clock\": clocks,\n",
    "#                 \"event_type\": event_types,\n",
    "#                 \"home_points\": home_points,\n",
    "#                 \"away_points\": away_points,\n",
    "#                 \"quarter\": quarters,\n",
    "#             }\n",
    "#         )\n",
    "\n",
    "#         # Return the DataFrame\n",
    "#         return df\n",
    "\n",
    "#     else:\n",
    "#         # If the request was not successful, return None\n",
    "#         return None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "json_files = []\n",
    "\n",
    "# Walk through current directory\n",
    "for dirpath, dirnames, filenames in os.walk('.'):\n",
    "    # Find JSON files in each directory\n",
    "    for filename in filenames:\n",
    "        if filename.endswith('.json'):\n",
    "            # Append the path to the file\n",
    "            json_files.append(os.path.join(dirpath, filename))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import json\n",
    "import pandas as pd\n",
    "\n",
    "def get_game_pbp_from_file(file_path):\n",
    "    # Load JSON data from the file\n",
    "    with open(file_path, 'r') as file:\n",
    "        data = json.load(file)\n",
    "\n",
    "    # Extract the relevant information\n",
    "    id = data[\"id\"] # This is the game's ID\n",
    "    scheduled = data[\"scheduled\"]  # This is when the game was scheduled\n",
    "    home_team_name = data[\"home\"][\"market\"] + \" \" + data[\"home\"][\"name\"]\n",
    "    away_team_name = data[\"away\"][\"market\"] + \" \" + data[\"away\"][\"name\"]\n",
    "    descriptions = []\n",
    "    clocks = []\n",
    "    event_types = []\n",
    "    home_points = []\n",
    "    away_points = []\n",
    "    quarters = []\n",
    "\n",
    "    if \"periods\" not in data:\n",
    "        print (f\"File {file_path} does not contain play-by-play data\")\n",
    "        return None\n",
    "    \n",
    "    else:\n",
    "\n",
    "        for period in data[\"periods\"]:\n",
    "            for event in period[\"events\"]:\n",
    "                descriptions.append(event.get(\"description\", None))  # This is what happened\n",
    "                clocks.append(event.get(\"clock\", None))  # This is when it happened\n",
    "                event_types.append(event.get(\"event_type\", None))  # This is the type of event\n",
    "                home_points.append(event.get(\"home_points\", None))  # This is the home team's points\n",
    "                away_points.append(event.get(\"away_points\", None))  # This is the visitor team's points\n",
    "                quarters.append(period.get(\"number\", None))  # This is the quarter\n",
    "\n",
    "    # Create a DataFrame from the extracted information\n",
    "    df = pd.DataFrame({\n",
    "        \"id\": id,  # This is the game's ID\n",
    "        \"date\": scheduled,  # This is when the game was scheduled\n",
    "        \"home_team_name\": home_team_name,\n",
    "        \"away_team_name\": away_team_name,\n",
    "        \"description\": descriptions,\n",
    "        \"clock\": clocks,\n",
    "        \"event_type\": event_types,\n",
    "        \"home_points\": home_points,\n",
    "        \"away_points\": away_points,\n",
    "        \"quarter\": quarters,\n",
    "    })\n",
    "\n",
    "    # Return the DataFrame\n",
    "    return df\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Just testing the function with one file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>date</th>\n",
       "      <th>home_team_name</th>\n",
       "      <th>away_team_name</th>\n",
       "      <th>description</th>\n",
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       "      <th>event_type</th>\n",
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       "      <th>0</th>\n",
       "      <td>6decf9f6-cf39-4bf4-94b1-0acc349bfb69</td>\n",
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       "      <td>Portland Trail Blazers</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
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       "      <td>2023-01-23T02:00:00+00:00</td>\n",
       "      <td>Portland Trail Blazers</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>Trail Blazers lineup change (Damian Lillard, J...</td>\n",
       "      <td>12:00</td>\n",
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       "      <td>6decf9f6-cf39-4bf4-94b1-0acc349bfb69</td>\n",
       "      <td>2023-01-23T02:00:00+00:00</td>\n",
       "      <td>Portland Trail Blazers</td>\n",
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       "      <td>Thomas Bryant vs. Jusuf Nurkic (Dennis Schrode...</td>\n",
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       "      <td>6decf9f6-cf39-4bf4-94b1-0acc349bfb69</td>\n",
       "      <td>2023-01-23T02:00:00+00:00</td>\n",
       "      <td>Portland Trail Blazers</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>LeBron James makes two point cutting dunk (Den...</td>\n",
       "      <td>11:47</td>\n",
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       "      <td>6decf9f6-cf39-4bf4-94b1-0acc349bfb69</td>\n",
       "      <td>2023-01-23T02:00:00+00:00</td>\n",
       "      <td>Portland Trail Blazers</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>Damian Lillard makes two point jump shot (Josh...</td>\n",
       "      <td>11:31</td>\n",
       "      <td>twopointmade</td>\n",
       "      <td>2</td>\n",
       "      <td>2</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>6decf9f6-cf39-4bf4-94b1-0acc349bfb69</td>\n",
       "      <td>2023-01-23T02:00:00+00:00</td>\n",
       "      <td>Portland Trail Blazers</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>Dennis Schroder makes regular free throw 1 of 2</td>\n",
       "      <td>00:30</td>\n",
       "      <td>freethrowmade</td>\n",
       "      <td>112</td>\n",
       "      <td>120</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>6decf9f6-cf39-4bf4-94b1-0acc349bfb69</td>\n",
       "      <td>2023-01-23T02:00:00+00:00</td>\n",
       "      <td>Portland Trail Blazers</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>Dennis Schroder makes regular free throw 2 of 2</td>\n",
       "      <td>00:30</td>\n",
       "      <td>freethrowmade</td>\n",
       "      <td>112</td>\n",
       "      <td>121</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>6decf9f6-cf39-4bf4-94b1-0acc349bfb69</td>\n",
       "      <td>2023-01-23T02:00:00+00:00</td>\n",
       "      <td>Portland Trail Blazers</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>Damian Lillard misses three point pullup jump ...</td>\n",
       "      <td>00:24</td>\n",
       "      <td>threepointmiss</td>\n",
       "      <td>112</td>\n",
       "      <td>121</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>461</th>\n",
       "      <td>6decf9f6-cf39-4bf4-94b1-0acc349bfb69</td>\n",
       "      <td>2023-01-23T02:00:00+00:00</td>\n",
       "      <td>Portland Trail Blazers</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>LeBron James defensive rebound</td>\n",
       "      <td>00:21</td>\n",
       "      <td>rebound</td>\n",
       "      <td>112</td>\n",
       "      <td>121</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>6decf9f6-cf39-4bf4-94b1-0acc349bfb69</td>\n",
       "      <td>2023-01-23T02:00:00+00:00</td>\n",
       "      <td>Portland Trail Blazers</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>End of 4th Quarter.</td>\n",
       "      <td>00:00</td>\n",
       "      <td>endperiod</td>\n",
       "      <td>112</td>\n",
       "      <td>121</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>463 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       id                       date  \\\n",
       "0    6decf9f6-cf39-4bf4-94b1-0acc349bfb69  2023-01-23T02:00:00+00:00   \n",
       "1    6decf9f6-cf39-4bf4-94b1-0acc349bfb69  2023-01-23T02:00:00+00:00   \n",
       "2    6decf9f6-cf39-4bf4-94b1-0acc349bfb69  2023-01-23T02:00:00+00:00   \n",
       "3    6decf9f6-cf39-4bf4-94b1-0acc349bfb69  2023-01-23T02:00:00+00:00   \n",
       "4    6decf9f6-cf39-4bf4-94b1-0acc349bfb69  2023-01-23T02:00:00+00:00   \n",
       "..                                    ...                        ...   \n",
       "458  6decf9f6-cf39-4bf4-94b1-0acc349bfb69  2023-01-23T02:00:00+00:00   \n",
       "459  6decf9f6-cf39-4bf4-94b1-0acc349bfb69  2023-01-23T02:00:00+00:00   \n",
       "460  6decf9f6-cf39-4bf4-94b1-0acc349bfb69  2023-01-23T02:00:00+00:00   \n",
       "461  6decf9f6-cf39-4bf4-94b1-0acc349bfb69  2023-01-23T02:00:00+00:00   \n",
       "462  6decf9f6-cf39-4bf4-94b1-0acc349bfb69  2023-01-23T02:00:00+00:00   \n",
       "\n",
       "             home_team_name      away_team_name  \\\n",
       "0    Portland Trail Blazers  Los Angeles Lakers   \n",
       "1    Portland Trail Blazers  Los Angeles Lakers   \n",
       "2    Portland Trail Blazers  Los Angeles Lakers   \n",
       "3    Portland Trail Blazers  Los Angeles Lakers   \n",
       "4    Portland Trail Blazers  Los Angeles Lakers   \n",
       "..                      ...                 ...   \n",
       "458  Portland Trail Blazers  Los Angeles Lakers   \n",
       "459  Portland Trail Blazers  Los Angeles Lakers   \n",
       "460  Portland Trail Blazers  Los Angeles Lakers   \n",
       "461  Portland Trail Blazers  Los Angeles Lakers   \n",
       "462  Portland Trail Blazers  Los Angeles Lakers   \n",
       "\n",
       "                                           description  clock      event_type  \\\n",
       "0    Lakers lineup change (Thomas Bryant, LeBron Ja...  12:00    lineupchange   \n",
       "1    Trail Blazers lineup change (Damian Lillard, J...  12:00    lineupchange   \n",
       "2    Thomas Bryant vs. Jusuf Nurkic (Dennis Schrode...  12:00         opentip   \n",
       "3    LeBron James makes two point cutting dunk (Den...  11:47    twopointmade   \n",
       "4    Damian Lillard makes two point jump shot (Josh...  11:31    twopointmade   \n",
       "..                                                 ...    ...             ...   \n",
       "458    Dennis Schroder makes regular free throw 1 of 2  00:30   freethrowmade   \n",
       "459    Dennis Schroder makes regular free throw 2 of 2  00:30   freethrowmade   \n",
       "460  Damian Lillard misses three point pullup jump ...  00:24  threepointmiss   \n",
       "461                     LeBron James defensive rebound  00:21         rebound   \n",
       "462                                End of 4th Quarter.  00:00       endperiod   \n",
       "\n",
       "     home_points  away_points  quarter  \n",
       "0              0            0        1  \n",
       "1              0            0        1  \n",
       "2              0            0        1  \n",
       "3              0            2        1  \n",
       "4              2            2        1  \n",
       "..           ...          ...      ...  \n",
       "458          112          120        4  \n",
       "459          112          121        4  \n",
       "460          112          121        4  \n",
       "461          112          121        4  \n",
       "462          112          121        4  \n",
       "\n",
       "[463 rows x 10 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file = json_files[0]\n",
    "\n",
    "# Get the play by play data from the file\n",
    "play_by_play_df = get_game_pbp_from_file(file)\n",
    "\n",
    "play_by_play_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Doing it on all files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "File ./json_files/play_by_play_sportsradar_69fd5274-20fe-494a-89c2-14988b791d31.json does not contain play-by-play data\n"
     ]
    }
   ],
   "source": [
    "all_dfs = []\n",
    "\n",
    "# Loop through each JSON file\n",
    "for file_name in json_files:\n",
    "    # Get the DataFrame for the current file\n",
    "    play_by_play_df = get_game_pbp_from_file(file_name)\n",
    "    # Append the DataFrame to the list\n",
    "    all_dfs.append(play_by_play_df)\n",
    "\n",
    "# Concatenate all DataFrames into a single DataFrame\n",
    "final_df = pd.concat(all_dfs, ignore_index=True)\n",
    "\n",
    "# # Print the final DataFrame\n",
    "# print(final_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "193"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_df\n",
    "\n",
    "#check for unique dates\n",
    "\n",
    "len(final_df[\"id\"].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>6decf9f6-cf39-4bf4-94b1-0acc349bfb69</td>\n",
       "      <td>2023-01-23T02:00:00+00:00</td>\n",
       "      <td>Portland Trail Blazers</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>Lakers lineup change (Thomas Bryant, LeBron Ja...</td>\n",
       "      <td>12:00</td>\n",
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       "      <td>2023-01-23T02:00:00+00:00</td>\n",
       "      <td>Portland Trail Blazers</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>Trail Blazers lineup change (Damian Lillard, J...</td>\n",
       "      <td>12:00</td>\n",
       "      <td>lineupchange</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6decf9f6-cf39-4bf4-94b1-0acc349bfb69</td>\n",
       "      <td>2023-01-23T02:00:00+00:00</td>\n",
       "      <td>Portland Trail Blazers</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>Thomas Bryant vs. Jusuf Nurkic (Dennis Schrode...</td>\n",
       "      <td>12:00</td>\n",
       "      <td>opentip</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6decf9f6-cf39-4bf4-94b1-0acc349bfb69</td>\n",
       "      <td>2023-01-23T02:00:00+00:00</td>\n",
       "      <td>Portland Trail Blazers</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>LeBron James makes two point cutting dunk (Den...</td>\n",
       "      <td>11:47</td>\n",
       "      <td>twopointmade</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6decf9f6-cf39-4bf4-94b1-0acc349bfb69</td>\n",
       "      <td>2023-01-23T02:00:00+00:00</td>\n",
       "      <td>Portland Trail Blazers</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>Damian Lillard makes two point jump shot (Josh...</td>\n",
       "      <td>11:31</td>\n",
       "      <td>twopointmade</td>\n",
       "      <td>2</td>\n",
       "      <td>2</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88964</th>\n",
       "      <td>81509f8f-9014-460b-b383-70b65a0efdaf</td>\n",
       "      <td>2023-03-20T01:00:00+00:00</td>\n",
       "      <td>Portland Trail Blazers</td>\n",
       "      <td>LA Clippers</td>\n",
       "      <td>Paul George defensive rebound</td>\n",
       "      <td>00:47</td>\n",
       "      <td>rebound</td>\n",
       "      <td>102</td>\n",
       "      <td>117</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88965</th>\n",
       "      <td>81509f8f-9014-460b-b383-70b65a0efdaf</td>\n",
       "      <td>2023-03-20T01:00:00+00:00</td>\n",
       "      <td>Portland Trail Blazers</td>\n",
       "      <td>LA Clippers</td>\n",
       "      <td>Clippers turnover (shot clock violation)</td>\n",
       "      <td>00:24</td>\n",
       "      <td>turnover</td>\n",
       "      <td>102</td>\n",
       "      <td>117</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88966</th>\n",
       "      <td>81509f8f-9014-460b-b383-70b65a0efdaf</td>\n",
       "      <td>2023-03-20T01:00:00+00:00</td>\n",
       "      <td>Portland Trail Blazers</td>\n",
       "      <td>LA Clippers</td>\n",
       "      <td>Damian Lillard misses three point pullup jump ...</td>\n",
       "      <td>00:19</td>\n",
       "      <td>threepointmiss</td>\n",
       "      <td>102</td>\n",
       "      <td>117</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88967</th>\n",
       "      <td>81509f8f-9014-460b-b383-70b65a0efdaf</td>\n",
       "      <td>2023-03-20T01:00:00+00:00</td>\n",
       "      <td>Portland Trail Blazers</td>\n",
       "      <td>LA Clippers</td>\n",
       "      <td>Ivica Zubac defensive rebound</td>\n",
       "      <td>00:16</td>\n",
       "      <td>rebound</td>\n",
       "      <td>102</td>\n",
       "      <td>117</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88968</th>\n",
       "      <td>81509f8f-9014-460b-b383-70b65a0efdaf</td>\n",
       "      <td>2023-03-20T01:00:00+00:00</td>\n",
       "      <td>Portland Trail Blazers</td>\n",
       "      <td>LA Clippers</td>\n",
       "      <td>End of 4th Quarter.</td>\n",
       "      <td>00:00</td>\n",
       "      <td>endperiod</td>\n",
       "      <td>102</td>\n",
       "      <td>117</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>88969 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         id                       date  \\\n",
       "0      6decf9f6-cf39-4bf4-94b1-0acc349bfb69  2023-01-23T02:00:00+00:00   \n",
       "1      6decf9f6-cf39-4bf4-94b1-0acc349bfb69  2023-01-23T02:00:00+00:00   \n",
       "2      6decf9f6-cf39-4bf4-94b1-0acc349bfb69  2023-01-23T02:00:00+00:00   \n",
       "3      6decf9f6-cf39-4bf4-94b1-0acc349bfb69  2023-01-23T02:00:00+00:00   \n",
       "4      6decf9f6-cf39-4bf4-94b1-0acc349bfb69  2023-01-23T02:00:00+00:00   \n",
       "...                                     ...                        ...   \n",
       "88964  81509f8f-9014-460b-b383-70b65a0efdaf  2023-03-20T01:00:00+00:00   \n",
       "88965  81509f8f-9014-460b-b383-70b65a0efdaf  2023-03-20T01:00:00+00:00   \n",
       "88966  81509f8f-9014-460b-b383-70b65a0efdaf  2023-03-20T01:00:00+00:00   \n",
       "88967  81509f8f-9014-460b-b383-70b65a0efdaf  2023-03-20T01:00:00+00:00   \n",
       "88968  81509f8f-9014-460b-b383-70b65a0efdaf  2023-03-20T01:00:00+00:00   \n",
       "\n",
       "               home_team_name      away_team_name  \\\n",
       "0      Portland Trail Blazers  Los Angeles Lakers   \n",
       "1      Portland Trail Blazers  Los Angeles Lakers   \n",
       "2      Portland Trail Blazers  Los Angeles Lakers   \n",
       "3      Portland Trail Blazers  Los Angeles Lakers   \n",
       "4      Portland Trail Blazers  Los Angeles Lakers   \n",
       "...                       ...                 ...   \n",
       "88964  Portland Trail Blazers         LA Clippers   \n",
       "88965  Portland Trail Blazers         LA Clippers   \n",
       "88966  Portland Trail Blazers         LA Clippers   \n",
       "88967  Portland Trail Blazers         LA Clippers   \n",
       "88968  Portland Trail Blazers         LA Clippers   \n",
       "\n",
       "                                             description  clock  \\\n",
       "0      Lakers lineup change (Thomas Bryant, LeBron Ja...  12:00   \n",
       "1      Trail Blazers lineup change (Damian Lillard, J...  12:00   \n",
       "2      Thomas Bryant vs. Jusuf Nurkic (Dennis Schrode...  12:00   \n",
       "3      LeBron James makes two point cutting dunk (Den...  11:47   \n",
       "4      Damian Lillard makes two point jump shot (Josh...  11:31   \n",
       "...                                                  ...    ...   \n",
       "88964                      Paul George defensive rebound  00:47   \n",
       "88965           Clippers turnover (shot clock violation)  00:24   \n",
       "88966  Damian Lillard misses three point pullup jump ...  00:19   \n",
       "88967                      Ivica Zubac defensive rebound  00:16   \n",
       "88968                                End of 4th Quarter.  00:00   \n",
       "\n",
       "           event_type  home_points  away_points  quarter  \n",
       "0        lineupchange            0            0        1  \n",
       "1        lineupchange            0            0        1  \n",
       "2             opentip            0            0        1  \n",
       "3        twopointmade            0            2        1  \n",
       "4        twopointmade            2            2        1  \n",
       "...               ...          ...          ...      ...  \n",
       "88964         rebound          102          117        4  \n",
       "88965        turnover          102          117        4  \n",
       "88966  threepointmiss          102          117        4  \n",
       "88967         rebound          102          117        4  \n",
       "88968       endperiod          102          117        4  \n",
       "\n",
       "[88969 rows x 10 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "#save it to parquet\n",
    "\n",
    "final_df.to_parquet(\"combined_dataframe.parquet\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Separate parquet files for each game\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "File ./json_files/play_by_play_sportsradar_69fd5274-20fe-494a-89c2-14988b791d31.json does not contain play-by-play data\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "\n",
    "# Loop through each JSON file\n",
    "for file_name in json_files:\n",
    "    # Get the DataFrame for the current file\n",
    "    play_by_play_df = get_game_pbp_from_file(file_name)\n",
    "    \n",
    "    # Extract home and away team names from the DataFrame\n",
    "    if play_by_play_df is None:\n",
    "        continue\n",
    "\n",
    "\n",
    "    home_team = play_by_play_df['home_team_name'].iloc[0]\n",
    "    away_team = play_by_play_df['away_team_name'].iloc[0]\n",
    "    \n",
    "    # Create the file name\n",
    "    parquet_file_name = f\"{home_team}VS{away_team}.parquet\"\n",
    "    \n",
    "    # Save the DataFrame as a Parquet file\n",
    "    play_by_play_df.to_parquet(os.path.join('Data/', parquet_file_name))"
   ]
  }
 ],
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