{ "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 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\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 }