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import os
import sys
import csv
import subprocess
import time
import random
import re
import json
import click
from urllib.parse import urlparse
from s2 import SemanticScholarAPI
from util import *
s2 = SemanticScholarAPI()
@click.command()
@click.option('--fn', '-i', default='db_paper_doi.csv', help='Filename of CSV (id, url,)')
def fetch_doi_list(fn):
lines = read_csv(fn, keys=False)
domains = []
for line in lines:
paper_id, url = line
if url:
domain = fetch_doi(paper_id, url)
print(domain)
print("{} papers processed".format(len(lines)))
def fetch_doi(paper_id, url, replace=False):
os.makedirs(make_doi_path(paper_id), exist_ok=True)
doi_fn = make_doi_fn(paper_id)
url_fn = make_url_fn(paper_id)
txt_fn = make_txt_fn(paper_id)
if replace and os.path.exists(doi_fn):
os.rename(doi_fn, old_doi_fn(paper_id))
os.rename(url_fn, old_url_fn(paper_id))
if os.path.exists(doi_fn) or os.path.exists(txt_fn):
# return read_json(doi_fn)
return None, None
size, final_url = s2.fetch_doi(url, doi_fn)
if size is None:
print("{} empty?".format(paper_id))
time.sleep(random.randint(2, 5))
return None, None
print("{} {} kb".format(paper_id, int(size / 1024)))
domain = urlparse(final_url).netloc
write_json(url_fn, {
'paper_id': paper_id,
'domain': domain
})
time.sleep(random.randint(2, 5))
return domain
# return paper
def make_doi_path(paper_id):
return './datasets/s2/doi/{}/{}'.format(paper_id[0:2], paper_id)
def make_doi_fn(paper_id):
return './datasets/s2/doi/{}/{}/paper.doi'.format(paper_id[0:2], paper_id)
def make_url_fn(paper_id):
return './datasets/s2/doi/{}/{}/paper.url'.format(paper_id[0:2], paper_id)
def make_txt_fn(paper_id):
return './datasets/s2/pdf/{}/{}/paper.txt'.format(paper_id[0:2], paper_id)
def old_doi_fn(paper_id):
return './datasets/s2/doi/{}/{}/paper.doi2'.format(paper_id[0:2], paper_id)
def old_url_fn(paper_id):
return './datasets/s2/doi/{}/{}/paper.url2'.format(paper_id[0:2], paper_id)
if __name__ == '__main__':
fetch_doi_list()
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