{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.chdir('../')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'e:\\\\bengla text summarization\\\\train-pegasus-model-on-bengali-text-summarization-using-mlops'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dataclasses import dataclass\n",
    "from pathlib import Path\n",
    "\n",
    "@dataclass(frozen=True)\n",
    "class DataIngestionConfig:\n",
    "    root_dir : Path\n",
    "    source_dir : Path\n",
    "    local_data_file : Path\n",
    "    unzip_dir : Path\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from src.benglasummarization.constants import *\n",
    "from src.benglasummarization.utils.common import read_yaml, create_directories\n",
    "class ConfigurationManager:\n",
    "    def __init__(\n",
    "        self, \n",
    "        config_filepath = CONFIG_FILE_PATH,\n",
    "        params_filepath = PARAMS_FILE_PATH\n",
    "    ):\n",
    "        self.config = read_yaml(config_filepath)\n",
    "        self.params = read_yaml(params_filepath)\n",
    "        \n",
    "        create_directories([self.config.artifacts_root])\n",
    "        \n",
    "    def get_data_ingestion_config(self) -> DataIngestionConfig:\n",
    "        config = self.config.data_ingestion\n",
    "        create_directories([config.root_dir])\n",
    "        \n",
    "        data_ingestion_config = DataIngestionConfig(\n",
    "            root_dir= config.root_dir,\n",
    "            source_dir=config.source_dir,\n",
    "            local_data_file=config.local_data_file,\n",
    "            unzip_dir= config.unzip_dir\n",
    "        )\n",
    "        \n",
    "        return data_ingestion_config"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import zipfile\n",
    "from src.benglasummarization.logging import logger\n",
    "from tqdm.notebook import tqdm\n",
    "from dataclasses import replace\n",
    "\n",
    "class DataIngestion:\n",
    "    def __init__(self, config : DataIngestionConfig):\n",
    "        self.config = config\n",
    "        \n",
    "    def load_file(self):\n",
    "        if os.path.exists(self.config.source_dir):\n",
    "            self.config = replace(self.config, local_data_file = self.config.source_dir)\n",
    "            logger.info(f'File found at: {self.config.local_data_file}')\n",
    "        else:\n",
    "            logger.info(f'File not found at: {self.config.source_dir}')\n",
    "            raise FileNotFoundError(f'No file found at: {self.config.source_dir}')\n",
    "        \n",
    "    def extract_zip_file(self):\n",
    "        unzip_path = self.config.unzip_dir\n",
    "        os.makedirs(unzip_path, exist_ok=True)\n",
    "        \n",
    "        with zipfile.ZipFile(self.config.local_data_file, 'r') as zip_ref:\n",
    "            total_files = len(zip_ref.infolist())\n",
    "            for file in tqdm(iterable=zip_ref.infolist(), total=total_files, desc = 'Extracting Files'):\n",
    "                zip_ref.extract(member = file, path = unzip_path)\n",
    "                \n",
    "            logger.info(f\"Extracted {self.config.local_data_file} to {unzip_path}\")\n",
    "            \n",
    "            \n",
    "            \n",
    "            \n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2024-10-16 02:22:48,187: INFO: common: yaml file: config\\config.yaml loaded successfully]\n",
      "[2024-10-16 02:22:48,189: INFO: common: yaml file: params.yaml loaded successfully]\n",
      "[2024-10-16 02:22:48,192: INFO: common: created directory at: artifacts]\n",
      "[2024-10-16 02:22:48,196: INFO: common: created directory at: artifacts/data_ingestion]\n",
      "[2024-10-16 02:22:48,198: INFO: 2796563959: File found at: E:\\\\bengla text summarization\\BanSum.zip]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e0cd102bb64748cdb7dfe8d840c14a48",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Extracting Files:   0%|          | 0/1 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2024-10-16 02:23:01,006: INFO: 2796563959: Extracted E:\\\\bengla text summarization\\BanSum.zip to artifacts/data_ingestion]\n"
     ]
    }
   ],
   "source": [
    "try:\n",
    "    config = ConfigurationManager()\n",
    "    data_ingestion_config = config.get_data_ingestion_config()\n",
    "    data_ingestion = DataIngestion(config=data_ingestion_config)\n",
    "    data_ingestion.load_file()\n",
    "    data_ingestion.extract_zip_file()\n",
    "except Exception as e:\n",
    "    raise e"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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