From 5896a56bcc0cc5f0f0485ef8fec9604413987e36 Mon Sep 17 00:00:00 2001 From: Saifeddine ALOUI Date: Tue, 28 May 2024 09:52:41 +0200 Subject: [PATCH] Create bibliography.py --- lollms/functions/bibliography.py | 163 +++++++++++++++++++++++++++++++ 1 file changed, 163 insertions(+) create mode 100644 lollms/functions/bibliography.py diff --git a/lollms/functions/bibliography.py b/lollms/functions/bibliography.py new file mode 100644 index 0000000..110b73a --- /dev/null +++ b/lollms/functions/bibliography.py @@ -0,0 +1,163 @@ +# Lollms function call definition file + +# Import necessary libraries +import requests +from pathlib import Path + +# Partial is useful if we need to preset some parameters +from functools import partial + +# It is advised to import typing elements +from typing import List, Optional + +# Import PackageManager if there are potential libraries that need to be installed +from lollms.utilities import PackageManager, find_first_available_file_index, discussion_path_to_url + +# ascii_colors offers advanced console coloring and bug tracing +from ascii_colors import trace_exception + +# Import Client from lollms.client_session +from lollms.client_session import Client + +# Here is an example of how we install a non-installed library using PackageManager +if not PackageManager.check_package_installed("bs4"): + PackageManager.install_package("beautifulsoup4") + +# Now we can import the library +from bs4 import BeautifulSoup + +# Core function to search for PDFs on arXiv and download them to a specified directory +def arxiv_pdf_search(query: str, max_results: Optional[int] = 5, sort_by: Optional[str] = 'relevance', start_date: Optional[str] = None, end_date: Optional[str] = None, author: Optional[str] = None, client: Optional[Client] = None) -> str: + try: + if client is None: + download_to = Path("./pdf_search") + else: + download_to = client.discussion.discussion_folder / "pdf_search" + + # Construct the search URL with additional parameters + url = f'http://export.arxiv.org/api/query?search_query={query}&start=0&max_results={max_results}&sortBy={sort_by}' + if start_date: + url += f'&startDate={start_date}' + if end_date: + url += f'&endDate={end_date}' + if author: + url += f'&author={author}' + + response = requests.get(url) + response.raise_for_status() + + # Parse the response + soup = BeautifulSoup(response.content, 'xml') + entries = soup.find_all('entry') + + # Create the directory if it doesn't exist + download_to.mkdir(parents=True, exist_ok=True) + + # Extract PDF URLs and additional information + html_output = "" + report_content = "" + for entry in entries: + pdf_url = entry.id.text.replace('abs', 'pdf') + '.pdf' + pdf_name = pdf_url.split('/')[-1] + pdf_path = download_to / pdf_name + + if client is None: + local_url = f'/discussions/pdf_search/{pdf_name}' + else: + local_url = discussion_path_to_url(pdf_path) + + # Extract additional information + title = entry.title.text + authors = ', '.join(author.find('name').text for author in entry.find_all('author')) + affiliations = ', '.join(affiliation.text for affiliation in entry.find_all('affiliation')) + abstract = entry.summary.text + published_date = entry.published.text + journal_ref = entry.find('journal_ref').text if entry.find('journal_ref') else 'N/A' + + # Write abstract and additional information to text file + abstract_path = download_to / f"{pdf_name}_abstract.txt" + with abstract_path.open('w', encoding='utf-8') as abstract_file: + abstract_file.write(f"Title: {title}\n") + abstract_file.write(f"Authors: {authors}\n") + abstract_file.write(f"Affiliations: {affiliations}\n") + abstract_file.write(f"Abstract: {abstract}\n") + abstract_file.write(f"Published Date: {published_date}\n") + abstract_file.write(f"Journal/Conference: {journal_ref}\n") + + # Download PDF + pdf_response = requests.get(pdf_url) + with pdf_path.open('wb') as pdf_file: + pdf_file.write(pdf_response.content) + + # Append to HTML output + html_output += f""" +
+

{title}

+

Authors: {authors}

+

Affiliations: {affiliations}

+

Abstract: {abstract}

+

Published Date: {published_date}

+

Journal/Conference: {journal_ref}

+

PDF Link

+

Local PDF

+
+
+ """ + # Append to report content + report_content += f""" + Title: {title} + Authors: {authors} + Affiliations: {affiliations} + Abstract: {abstract} + Published Date: {published_date} + Journal/Conference: {journal_ref} + PDF Link: {pdf_url} + Local PDF: {local_url} + ------------------------ + """ + + # Save the report to a text file + report_path = download_to / "pdf_search_report.txt" + with report_path.open('w', encoding='utf-8') as report_file: + report_file.write(report_content) + + html_output += "" + return html_output + + except Exception as e: + return trace_exception(e) + +# Metadata function +def arxiv_pdf_search_function(client: Optional[Client] = None): + return { + "function_name": "arxiv_pdf_search", # The function name in string + "function": partial(arxiv_pdf_search, client=client), # The function to be called with partial to preset client + "function_description": "Searches for PDFs on arXiv based on a query, downloads them to a specified directory, and returns a HTML string containing article details and links.", # Description of the function + "function_parameters": [ # The set of parameters + {"name": "query", "type": "str", "description": "The search query for arXiv."}, + {"name": "max_results", "type": "int", "description": "The maximum number of results to return. (Optional)", "optional": True, "default": 5}, + {"name": "sort_by", "type": "str", "description": "The sorting criteria for the search results (e.g., relevance, lastUpdatedDate). (Optional)", "optional": True, "default": "relevance"}, + {"name": "start_date", "type": "str", "description": "The start date for the search results in the format YYYY-MM-DD. (Optional)", "optional": True}, + {"name": "end_date", "type": "str", "description": "The end date for the search results in the format YYYY-MM-DD. (Optional)", "optional": True}, + {"name": "author", "type": "str", "description": "The author name for the search results. (Optional)", "optional": True}, + ] + } + +# Example usage +if __name__ == "__main__": + # Example client initialization (if needed) + client = None # Replace with actual client initialization if available + + # Example function call + html_output = arxiv_pdf_search( + query="machine learning", + max_results=3, + sort_by="relevance", + start_date="2020-01-01", + end_date="2021-01-01", + author="John Doe", + client=client + ) + + # Print the HTML output + print(html_output)