ChatGPT Transcript

Generate a python script that takes the path to an HTML file as a command line argument and does the following using the BeautifulSoup library: 1. Extract out a div tag with a class that starts with the string "ThreadLayout__NodeWrapper-". Lets call this the main tag. 2. Inside the "main" tag, delete the divs that have a class that starts with one of the following strings: "Pagination__PaginationWrapper-", "ConversationItem__ActionButtons-", "CodeSnippet__ActionBar-" or "Thread__PositionForm-". 3. For any div with a class starting with the string "Avatar-", remove the style attribute if one exists. 4. For any "p" tags in the document, apply the style attribute with the value "white-space: pre-wrap;" and strip leading whitespaces in the text found in any child nodes (recursive), if they have any text. 5. Wrap the main tag in a standard HTML5 document. Include a link at the top (before the main tag), with the text "< Back" linking to the URL "/chatgpt" 6. Output the HTML document to stdout without prettifying it.

Here is a Python script that does the above:

import sys
from bs4 import BeautifulSoup

# Read the HTML file
html_file = sys.argv[1]
with open(html_file, "r") as f:
    html = f.read()

# Parse the HTML file using BeautifulSoup
soup = BeautifulSoup(html, "html.parser")

# 1. Extract out a div tag with a class that starts with the string "ThreadLayout__NodeWrapper-". 
# Lets call this the main tag.
main = soup.find("div", class_=lambda c: c and c.startswith("ThreadLayout__NodeWrapper-"))

# 2. Inside the "main" tag, delete the divs that have a class that starts with one of the following strings:
# "Pagination__PaginationWrapper-", "ConversationItem__ActionButtons-", "CodeSnippet__ActionBar-" or "Thread__PositionForm-".
for div in main.find_all("div", class_=lambda c: c and c.startswith(("Pagination__PaginationWrapper-",
                                                                     "ConversationItem__ActionButtons-",
                                                                     "CodeSnippet__ActionBar-",
                                                                     "Thread__PositionForm-"))):
    div.decompose()

# 3. For any div with a class starting with the string "Avatar-", remove the style attribute if one exists.
for div in main.find_all("div", class_=lambda c: c and c.startswith("Avatar-")):
    div.attrs.pop("style", None)

# 4. For any "p" tags in the document, apply the style attribute with the value "white-space: pre-wrap;" and 
# strip leading whitespaces in the text found in any child nodes (recursive), if they have any text.
for p in soup.find_all("p"):
    p.attrs["style"] = "white-space: pre-wrap;"
    for text in p.find_all(text=True):
        text.replace_with(text.strip())

# 5. Wrap the main tag in a standard HTML5 document. Include a link at the top (before the main tag), 
# with the text "< Back" linking to the URL "/chatgpt"
html_template = """
<!DOCTYPE html>
<html>
<head>
    <title>Modified HTML Document</title>
</head>
<body>
    <a href="/chatgpt">&lt; Back</a>
    {}
</body>
</html>
"""

# 6. Output the HTML document to stdout without prettifying it.
print(html_template.format(main))

To run the script, you would need to have thebeautifulsoup4library installed. You can install it usingpip install beautifulsoup4.

To run the script, you can use the following command:

python script.py path/to/file.html

The output will be printed to the standard output.

Now write a bash script that can process a folder full of HTML files using the above python script (named chatgpt_parser.py) and place the files in a designated output folder.

Here is a bash script that does the above:

#!/usr/bin/env bash

# Check if the number of arguments is correct
if [ $# -ne 2 ]; then
    echo "Usage: $0 input_folder output_folder"
    exit 1
fi

# Set the input and output folders
input_folder=$1
output_folder=$2

# Check if the input folder exists and is a directory
if [ ! -d "$input_folder" ]; then
    echo "Error: $input_folder does not exist or is not a directory"
    exit 1
fi

# Check if the output folder exists and is a directory
if [ ! -d "$output_folder" ]; then
    echo "Error: $output_folder does not exist or is not a directory"
    exit 1
fi

# Create a temporary directory
tmp_dir=$(mktemp -d)

# Process all HTML files in the input folder
for file in "$input_folder"/*.html; do
    # Get the base filename without the extension
    filename=$(basename "$file" .html)

    # Process the HTML file using the chatgpt_parser.py script
    python chatgpt_parser.py "$file" > "$tmp_dir/$filename.html"
done

# Move the processed files from the temporary directory to the output directory
mv "$tmp_dir"/*.html "$output_folder"

# Delete the temporary directory
rmdir "$tmp_dir"

To use the script, you would need to have thechatgpt_parser.pyscript in the same directory as this script. You would also need to have thepythonandmktempcommands in your system'sPATH.

To run the script, you can use the following command:

./script.sh input_folder output_folder

This will process all the HTML files in theinput_folderand place the processed files in theoutput_folder.