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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "initial_id",
"metadata": {
"collapsed": true,
"ExecuteTime": {
"end_time": "2023-11-05T00:47:48.131663100Z",
"start_time": "2023-11-05T00:47:35.527891600Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting kaggle\r\n",
" Downloading kaggle-1.5.16.tar.gz (83 kB)\r\n",
"\u001B[2K \u001B[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001B[0m \u001B[32m83.6/83.6 kB\u001B[0m \u001B[31m444.7 kB/s\u001B[0m eta \u001B[36m0:00:00\u001B[0m0:01\u001B[0m00:01\u001B[0m\r\n",
"\u001B[?25h Preparing metadata (setup.py) ... \u001B[?25ldone\r\n",
"\u001B[?25hRequirement already satisfied: six>=1.10 in /home/kryo/miniconda3/envs/vlsp2023-tts-api/lib/python3.10/site-packages (from kaggle) (1.16.0)\r\n",
"Requirement already satisfied: certifi in /home/kryo/miniconda3/envs/vlsp2023-tts-api/lib/python3.10/site-packages (from kaggle) (2023.7.22)\r\n",
"Requirement already satisfied: python-dateutil in /home/kryo/miniconda3/envs/vlsp2023-tts-api/lib/python3.10/site-packages (from kaggle) (2.8.2)\r\n",
"Requirement already satisfied: requests in /home/kryo/miniconda3/envs/vlsp2023-tts-api/lib/python3.10/site-packages (from kaggle) (2.31.0)\r\n",
"Collecting tqdm (from kaggle)\r\n",
" Downloading tqdm-4.66.1-py3-none-any.whl.metadata (57 kB)\r\n",
"\u001B[2K \u001B[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001B[0m \u001B[32m57.6/57.6 kB\u001B[0m \u001B[31m332.3 kB/s\u001B[0m eta \u001B[36m0:00:00\u001B[0m \u001B[36m0:00:01\u001B[0m\r\n",
"\u001B[?25hCollecting python-slugify (from kaggle)\r\n",
" Downloading python_slugify-8.0.1-py2.py3-none-any.whl (9.7 kB)\r\n",
"Requirement already satisfied: urllib3 in /home/kryo/miniconda3/envs/vlsp2023-tts-api/lib/python3.10/site-packages (from kaggle) (2.0.7)\r\n",
"Requirement already satisfied: bleach in /home/kryo/miniconda3/envs/vlsp2023-tts-api/lib/python3.10/site-packages (from kaggle) (6.1.0)\r\n",
"Requirement already satisfied: webencodings in /home/kryo/miniconda3/envs/vlsp2023-tts-api/lib/python3.10/site-packages (from bleach->kaggle) (0.5.1)\r\n",
"Collecting text-unidecode>=1.3 (from python-slugify->kaggle)\r\n",
" Downloading text_unidecode-1.3-py2.py3-none-any.whl (78 kB)\r\n",
"\u001B[2K \u001B[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001B[0m \u001B[32m78.2/78.2 kB\u001B[0m \u001B[31m944.9 kB/s\u001B[0m eta \u001B[36m0:00:00\u001B[0ma \u001B[36m0:00:01\u001B[0m\r\n",
"\u001B[?25hRequirement already satisfied: charset-normalizer<4,>=2 in /home/kryo/miniconda3/envs/vlsp2023-tts-api/lib/python3.10/site-packages (from requests->kaggle) (3.3.1)\r\n",
"Requirement already satisfied: idna<4,>=2.5 in /home/kryo/miniconda3/envs/vlsp2023-tts-api/lib/python3.10/site-packages (from requests->kaggle) (3.4)\r\n",
"Downloading tqdm-4.66.1-py3-none-any.whl (78 kB)\r\n",
"\u001B[2K \u001B[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001B[0m \u001B[32m78.3/78.3 kB\u001B[0m \u001B[31m748.5 kB/s\u001B[0m eta \u001B[36m0:00:00\u001B[0m \u001B[36m0:00:01\u001B[0m\r\n",
"\u001B[?25hBuilding wheels for collected packages: kaggle\r\n",
" Building wheel for kaggle (setup.py) ... \u001B[?25ldone\r\n",
"\u001B[?25h Created wheel for kaggle: filename=kaggle-1.5.16-py3-none-any.whl size=110683 sha256=fbd426d35c51820adb030ee423c20d997221fd1cdb7093a4b6af3afa94d170f3\r\n",
" Stored in directory: /home/kryo/.cache/pip/wheels/43/4b/fb/736478af5e8004810081a06259f9aa2f7c3329fc5d03c2c412\r\n",
"Successfully built kaggle\r\n",
"Installing collected packages: text-unidecode, tqdm, python-slugify, kaggle\r\n",
"Successfully installed kaggle-1.5.16 python-slugify-8.0.1 text-unidecode-1.3 tqdm-4.66.1\r\n"
]
}
],
"source": [
"!pip install kaggle"
]
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [],
"metadata": {
"collapsed": false
},
"id": "55f5e4a1d2ec2ecc"
},
{
"cell_type": "code",
"execution_count": 4,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001B[31mERROR: Could not find a version that satisfies the requirement kaggle_api_extended (from versions: none)\u001B[0m\u001B[31m\r\n",
"\u001B[0m\u001B[31mERROR: No matching distribution found for kaggle_api_extended\u001B[0m\u001B[31m\r\n",
"\u001B[0m"
]
}
],
"source": [],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2023-11-05T00:51:45.918622100Z",
"start_time": "2023-11-05T00:51:45.022051100Z"
}
},
"id": "28cea8fd0c172fff"
},
{
"cell_type": "markdown",
"source": [
"## merge files"
],
"metadata": {
"collapsed": false
},
"id": "fd44ed9dee4275cf"
},
{
"cell_type": "code",
"execution_count": 6,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Files merged successfully!\n"
]
}
],
"source": [
"import shutil\n",
"from pathlib import Path\n",
"try:\n",
" with open(Path('merged_file.py'), 'wb') as destination_file:\n",
" with open(Path('google_sheet.py'), 'rb') as file1:\n",
" shutil.copyfileobj(file1, destination_file)\n",
" with open(Path('logger.py'), 'rb') as file2:\n",
" shutil.copyfileobj(file2, destination_file)\n",
" with open(Path('kaggle_service.py'), 'rb') as file3:\n",
" shutil.copyfileobj(file3, destination_file)\n",
" with open(Path('main.py'), 'rb') as file4:\n",
" shutil.copyfileobj(file4, destination_file)\n",
" print(\"Files merged successfully!\")\n",
"except :\n",
" raise Exception(\"Cannot merge files!\")"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2023-11-05T02:15:34.843461500Z",
"start_time": "2023-11-05T02:15:34.781001200Z"
}
},
"id": "2568f49413e2057c"
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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