File size: 1,850 Bytes
00b2f69
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Insert tag\n",
    "----\n",
    "\n",
    "This script recursively inserts a specified tag at the beginning of each line in both `.txt` and `.tags` files within a given directory and its subdirectories."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "# Function to insert a specified tag in text files in subdirectories\n",
    "def insert_tag_in_files(directory, tag_to_insert):\n",
    "    try:\n",
    "        for entry in os.listdir(directory):\n",
    "            entry_path = os.path.join(directory, entry)\n",
    "\n",
    "            if os.path.isdir(entry_path):\n",
    "                insert_tag_in_files(entry_path, tag_to_insert)\n",
    "\n",
    "            elif os.path.isfile(entry_path) and (entry.endswith(\".txt\") or entry.endswith(\".tags\")):\n",
    "                with open(entry_path, 'r', encoding='utf-8') as f:\n",
    "                    content = f.read()\n",
    "\n",
    "                # Insert the specified tag\n",
    "                content = tag_to_insert + ', ' + content\n",
    "\n",
    "                # Write back to the file\n",
    "                with open(entry_path, 'w', encoding='utf-8') as f:\n",
    "                    f.write(content)\n",
    "\n",
    "    except Exception as e:\n",
    "        print(f\"Error processing directory {directory}: {e}\\n\")\n",
    "\n",
    "directory_path = r'C:\\Users\\kade\\Desktop\\training_dir_staging'\n",
    "\n",
    "# Execute the function with the desired tag\n",
    "insert_tag_in_files(directory_path, 'furrysticker')"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}