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{
"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": [
"'c:\\\\mlops projects\\\\text-summarization'"
]
},
"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",
"@dataclass(frozen=True)\n",
"class DataIngestionConfig:\n",
" root_dir : Path\n",
" source_URL : str\n",
" local_data_file : Path\n",
" unzip_dir : Path"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"from textsummarizer.constants import *\n",
"from textsummarizer.utils.common import read_yaml, create_directories\n",
"\n",
"\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",
" \n",
"\n",
" def get_data_ingestion_config(self) -> DataIngestionConfig:\n",
" config = self.config.data_ingestion\n",
"\n",
" create_directories([config.root_dir])\n",
"\n",
" data_ingestion_config = DataIngestionConfig(\n",
" root_dir=config.root_dir,\n",
" source_URL=config.source_URL,\n",
" local_data_file=config.local_data_file,\n",
" unzip_dir=config.unzip_dir \n",
" )\n",
"\n",
" return data_ingestion_config\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import urllib.request as request\n",
"import zipfile\n",
"from textsummarizer.logging import logger\n",
"from textsummarizer.utils.common import get_size"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"class DataIngestion:\n",
" def __init__(self, config: DataIngestionConfig):\n",
" self.config = config\n",
" \n",
" \n",
" def download_file(self):\n",
" if not os.path.exists(self.config.local_data_file):\n",
" filename, header = request.urlretrieve(\n",
" url=self.config.source_URL,\n",
" filename = self.config.local_data_file\n",
" )\n",
" logger.info(f'{filename} download! with following info: \\n{header}')\n",
" \n",
" else:\n",
" logger.info(f\"File already exist size {get_size(Path(self.config.local_data_file))}\")\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" def extract_zip_file(self):\n",
" \"\"\"\n",
" zip_file_path: str\n",
" Extracts the zip file into the data directory\n",
" Function returns None\n",
" \"\"\"\n",
" unzip_path = self.config.unzip_dir\n",
" os.makedirs(unzip_path, exist_ok=True)\n",
" with zipfile.ZipFile(self.config.local_data_file, 'r') as zip_ref:\n",
" zip_ref.extractall(unzip_path)\n",
" \n",
" \n",
" \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[2024-08-11 15:50:51,008: INFO: common: yaml file: config\\config.yaml loaded successfully]\n",
"[2024-08-11 15:50:51,011: INFO: common: yaml file: params.yaml loaded successfully]\n",
"[2024-08-11 15:50:51,012: INFO: common: created directory at: artifacts]\n",
"[2024-08-11 15:50:51,014: INFO: common: created directory at: artifacts/data_ingestion]\n",
"[2024-08-11 15:50:51,016: INFO: 4172299431: File already exist size ~ 7718 KB]\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.download_file()\n",
" data_ingestion.extract_zip_file()\n",
"except Exception as e:\n",
" raise e"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.11.0"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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