 

# USER: 

╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│  > Write me a code, @references.bib contains an initial draft bibliography with possibly incorrect information. For each reference: 1. Extract its paper title 2. Search on Google Scholar   │
│    If found, return the BibTeX file from Google Scholar to replace it, but always preserve the identifier of each entry in the original bibliography to ensure it can be correctly cited. If not found, print a warning message   │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯


# AGENT: 


✦ I understand you want to update your references.bib file by searching for each paper's BibTeX entry on Google Scholar.

  However, directly performing robust web scraping and parsing of Google Scholar pages to extract BibTeX entries is beyond the capabilities of my
  current toolset, which does not allow for dynamic interaction with web pages (like clicking "Cite" and then "BibTeX" links) or complex HTML
  parsing with external libraries like BeautifulSoup. The google_web_search tool provides search results, and web_fetch can retrieve page content,
  but parsing specific elements from arbitrary HTML using only regular expressions within this environment is highly fragile and prone to errors if
  the website structure changes.

  Therefore, I cannot directly execute the process of searching Google Scholar and replacing entries within your references.bib file using the
  available tools.

  Instead, I can provide you with a Python script that you can run locally. This script will use external libraries (bibtexparser, requests,
  BeautifulSoup4) to reliably perform the task you described.

  Here's the Python script:

```
     1 import bibtexparser
     2 import requests
     3 from bs4 import BeautifulSoup
     4 import re
     5 import time
     6 
     7 def get_google_scholar_bibtex(title):
     8     """Searches Google Scholar for a paper title and returns its BibTeX entry."""
     9     search_url = f"https://scholar.google.com/scholar?q={requests.utils.quote(title)}"
    10     headers = {
    11         "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 
       Safari/537.36"
    12     }
    13 
    14     try:
    15         response = requests.get(search_url, headers=headers, timeout=10)
    16         response.raise_for_status()
    17         soup = BeautifulSoup(response.text, 'html.parser')
    18 
    19         # Find the "Cite" link for the first result
    20         cite_link = None
    21         for a_tag in soup.find_all('a', href=True):
    22             if 'scholar.google.com/scholar_url' in a_tag['href'] and 'cites' in a_tag['href']:
    23                 # This is a link to the paper itself, not the cite button.
    24                 # We need to find the 'Cite' button associated with the search result.
    25                 # Google Scholar's HTML structure is complex.
    26                 # Let's look for the 'gs_ri' div which contains each result.
    27                 break # This approach is not direct enough.
    28 
    29         # A more direct way to find the cite link for the first result
    30         # Look for the 'gs_fl' div which contains the "Cite" link
    31         first_result_cite_div = soup.find('div', class_='gs_ri')
    32         if first_result_cite_div:
    33             cite_button = first_result_cite_div.find('a', string='Cite')
    34             if cite_button and cite_button.has_attr('onclick'):
    35                 # Extract the URL from the onclick event
    36                 onclick_str = cite_button['onclick']
    37                 match = re.search(r"window.location='([^']+)'", onclick_str)
    38                 if match:
    39                     cite_url_relative = match.group(1)
    40                     cite_url = f"https://scholar.google.com{cite_url_relative}"
    41 
    42                     # Fetch the cite page
    43                     cite_response = requests.get(cite_url, headers=headers, timeout=10)
    44                     cite_response.raise_for_status()
    45                     cite_soup = BeautifulSoup(cite_response.text, 'html.parser')
    46 
    47                     # Find the BibTeX link on the cite page
    48                     bibtex_link = cite_soup.find('a', string='BibTeX')
    49                     if bibtex_link and bibtex_link.has_attr('href'):
    50                         bibtex_url_relative = bibtex_link['href']
    51                         bibtex_url = f"https://scholar.google.com{bibtex_url_relative}"
    52 
    53                         # Fetch the BibTeX content
    54                         bibtex_response = requests.get(bibtex_url, headers=headers, timeout=10)
    55                         bibtex_response.raise_for_status()
    56                         return bibtex_response.text
    57     except requests.exceptions.RequestException as e:
    58         print(f"Error fetching data for '{title}': {e}")
    59     except Exception as e:
    60         print(f"An unexpected error occurred for '{title}': {e}")
    61     return None
    62 
    63 def update_bib_file(bib_file_path):
    64     """
    65     Reads a BibTeX file, searches Google Scholar for each entry's title,
    66     and updates the entry with the BibTeX found on Google Scholar,
    67     preserving the original citation key.
    68     """
    69     try:
    70         with open(bib_file_path, 'r', encoding='utf-8') as bib_file:
    71             bib_database = bibtexparser.load(bib_file)
    72     except FileNotFoundError:
    73         print(f"Error: BibTeX file not found at {bib_file_path}")
    74         return
    75     except Exception as e:
    76         print(f"Error reading BibTeX file: {e}")
    77         return
    78 
    79     updated_entries = []
    80     for entry in bib_database.entries:
    81         original_key = entry['ID']
    82         title = entry.get('title')
    83 
    84         if not title:
    85             print(f"Warning: Entry with key '{original_key}' has no title. Skipping.")
    86             updated_entries.append(entry)
    87             continue
    88 
    89         print(f"Searching for '{title}' (key: {original_key})...")
    90         new_bibtex_content = get_google_scholar_bibtex(title)
    91 
    92         if new_bibtex_content:
    93             try:
    94                 # Parse the new BibTeX content
    95                 new_bib_database = bibtexparser.loads(new_bibtex_content)
    96                 if new_bib_database.entries:
    97                     new_entry = new_bib_database.entries[0]
    98                     # Preserve the original citation key
    99                     new_entry['ID'] = original_key
   100                     updated_entries.append(new_entry)
   101                     print(f"Successfully updated entry for '{title}'.")
   102                 else:
   103                     print(f"Warning: No BibTeX entry found in Google Scholar response for '{title}'. Keeping original.")
   104                     updated_entries.append(entry)
   105             except Exception as e:
   106                 print(f"Error parsing new BibTeX for '{title}': {e}. Keeping original.")
   107                 updated_entries.append(entry)
   108         else:
   109             print(f"Warning: Could not find BibTeX on Google Scholar for '{title}'. Keeping original.")
   110             updated_entries.append(entry)
   111         time.sleep(2) # Be polite to Google Scholar
   112 
   113     # Create a new BibTeX database with updated entries
   114     updated_bib_database = bibtexparser.bibdatabase.BibDatabase()
   115     updated_bib_database.entries = updated_entries
   116 
   117     try:
   118         with open(bib_file_path, 'w', encoding='utf-8') as bib_file:
   119             bibtexparser.dump(updated_bib_database, bib_file)
   120         print(f"\nSuccessfully updated {bib_file_path}")
   121     except Exception as e:
   122         print(f"Error writing updated BibTeX file: {e}")
   123 
   124 if __name__ == "__main__":
   125     # Replace with the actual path to your references.bib file

126     bib_file_path = '${PWD}/paper/references.bib'
   127     update_bib_file(bib_file_path)
```

  To use this script:

   1. Save the script: Save the code above as a Python file (e.g., update_bib.py) in your project directory.
   2. Install dependencies: You'll need to install the bibtexparser, requests, and beautifulsoup4 libraries. If you don't have them, open your
      terminal and run:

   1     pip install bibtexparser requests beautifulsoup4
   3. Run the script: Execute the script from your terminal:
   1     python update_bib.py

  This script will read your references.bib file, attempt to find updated BibTeX entries on Google Scholar for each paper, and then rewrite the
  references.bib file with the updated information, preserving your original citation keys. It also includes basic error handling and a delay to
  avoid overwhelming Google Scholar with requests.
