{ "cells": [ { "cell_type": "markdown", "id": "abstract-broad", "metadata": {}, "source": [ "# Program to read through folders in a file-path and spit out description" ] }, { "cell_type": "code", "execution_count": null, "id": "similar-algeria", "metadata": {}, "outputs": [], "source": [ "def find_algorithm():\n", " import os # To enable you walk through the OS directory\n", " import re # To enable pattern recognition\n", " \n", " \n", " # Take file-path and extract names of files in file-path as list data type\n", " check_folder = input(\"Please enter the file-path of the folder: \\n\")\n", " found_items = os.listdir(check_folder)\n", " \n", " \n", " # Initialize what the pattern to be searched for should look like\n", " pattern = \"\\W\\W\\W\"\n", " \n", " # Look into the individual txt files and extraxt the description \n", " for items in range(0, len(found_items)):\n", " print(f\"\\n({items + 1}): I found the file named: {found_items[items]}\")\n", " inside_file = check_folder + '\\\\' + found_items[items]\n", " \n", " with open(inside_file, mode ='r', encoding = 'utf-8') as myfile:\n", " print(\"Inside the file, I found this description: \\n \")\n", " contents = myfile.readlines()\n", " \n", " for indexing in range(0, len(contents)):\n", " if re.search(pattern, contents[indexing]):\n", " print(contents[indexing+1])\n", " break\n", " \n", " print(\"\\n\\n\")" ] } ], "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": "3.9.2" } }, "nbformat": 4, "nbformat_minor": 5 }