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"""
Influential Papers Task
This module provides functionality to identify the most influential papers in a citation graph.
Functions:
influential_papers(K, graph):
Given an integer K and a citation graph, returns the K most influential papers based on the number of citations.
The function returns the title and abstract of each of the K most influential papers in a formatted string.
Usage:
The script reads configuration from a YAML file, loads a citation graph from a GEXF file, and prints the K most influential papers.
"""
import datetime
import re
def influential_papers(message, graph):
# Get integer number from message
K = int(re.search(r'\d+', message).group())
in_degree = dict(graph.in_degree())
sorted_in_degree = sorted(in_degree.items(), key=lambda x: x[1], reverse=True)
most_cited_papers = []
for i in range(K):
node = sorted_in_degree[i]
paper = graph.nodes[node[0]]
most_cited_papers.append(paper)
resp = "Here are the most influential papers:\n"
for i, paper in enumerate(most_cited_papers):
full_paper_id = paper['label']
paper_id = re.sub(r'[a-zA-Z/]+', '', full_paper_id)
year = paper_id[:2]
year = '19' + year if int(year) > 70 else '20' + year
month = datetime.date(1900, int(paper_id[2:4]), 1).strftime('%B')
resp += f"{i+1}. Title: {paper['title']}, arXiv {full_paper_id}, {month} {year} \nAbstract: {paper['abstract']}\n"
return resp
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