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import os
import requests
import time
import random
from util import *
class AuthorStub(object):
def __init__(self, **kwargs):
self.authorId = kwargs["authorId"]
self.name = kwargs.get("name", None)
self.url = kwargs.get("url", None)
def __str__(self):
return self.authorId
def __eq__(self, other):
return isinstance(other, AuthorStub) and self.authorId == other.authorId
def __hash__(self):
return hash(self.authorId)
def json(self):
return {
"authorId" : self.authorId,
"name" : self.name,
"url" : self.url
}
def full(self, **kwargs):
return SemanticScholarAPI.author(self.authorId, **kwargs)
class Author(object):
def __init__(self, **kwargs):
self._kwargs = kwargs
self.authorId = kwargs["authorId"]
self.name = kwargs.get("name", None)
self.aliases = kwargs.get("aliases", [])
self.citationVelocity = kwargs.get("citationVelocity", None)
self.influentialCitationCount = kwargs.get("influentialCitationCount", None)
self.url = kwargs.get("url", None)
def __str__(self):
return self.authorId
def __eq__(self, other):
return isinstance(other, Author) and self.authorId == other.authorId
def __hash__(self):
return hash(self.authorId)
def papers(self):
for elem in self._kwargs.get("papers", []):
yield SemanticScholarAPI.paper(elem["paperId"])
def json(self):
return self._kwargs
class PaperStub(object):
def __init__(self, **kwargs):
self.paperId = kwargs["paperId"]
self.isInfluential = kwargs.get("isInfluential", False)
self.title = kwargs.get("title", None)
self.venue = kwargs.get("venue", None)
self.year = kwargs.get("year", None)
def __str__(self):
return self.paperId
def __eq__(self, other):
return isinstance(other, PaperStub) and self.paperId == other.paperId
def __hash__(self):
return hash(self.paperId)
def json(self):
return {
"paperId" : self.paperId,
"isInfluential" : self.isInfluential,
"title" : self.title,
"venue" : self.venue,
"year" : self.year,
}
def full(self, **kwargs):
return SemanticScholarAPI.paper(self.paperId, **kwargs)
class Paper(object):
def __init__(self, **kwargs):
self.doi = kwargs.get("doi", None)
self.citationVelocity = kwargs.get("citationVelocity", None)
self.influentialCitationCount = kwargs.get("influentialCitationCount", None)
self.url = kwargs.get("url", None)
self.authors = [AuthorStub(**elem) for elem in kwargs.get("authors", [])]
self.citations = [PaperStub(**elem) for elem in kwargs.get("citations", [])]
self.references = [PaperStub(**elem) for elem in kwargs.get("references", [])]
self.venue = kwargs.get("venue", None)
self.references = kwargs.get("references", [])
self.title = kwargs.get("title", None)
self.year = kwargs.get("year", None)
def __str__(self):
return self.paperId
def __eq__(self, other):
return isinstance(other, Paper) and self.paperId == other.paperId
def __hash__(self):
return hash(self.paperId)
def json(self):
return self._kwargs
class SemanticScholarAPI(object):
BASE_URL = "http://api.semanticscholar.org/v1"
AUTHOR_ENDPOINT = "{}/{}".format(BASE_URL, "author")
PAPER_ENDPOINT = "{}/{}".format(BASE_URL, "paper")
SEARCH_ENDPOINT = "https://www.semanticscholar.org/api/1/search"
RAW_PAPER_ENDPOINT = "https://www.semanticscholar.org/api/1/paper"
headers = {
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36',
}
@staticmethod
def fetch_file(url, fn, **kwargs):
try:
resp = requests.get(url, params=kwargs, headers=SemanticScholarAPI.headers, verify=False)
if resp.status_code != 200:
return None
except:
return None
size = 0
with open(fn, 'wb') as f:
for chunk in resp.iter_content(chunk_size=1024):
if chunk:
size += len(chunk)
f.write(chunk)
return size
@staticmethod
def fetch_doi(url, fn, **kwargs):
try:
resp = requests.get(url, params=kwargs, headers=SemanticScholarAPI.headers, verify=False)
if resp.status_code != 200:
return None, None
except:
return None, None
size = 0
with open(fn, 'wb') as f:
for chunk in resp.iter_content(chunk_size=1024):
if chunk:
size += len(chunk)
f.write(chunk)
return size, resp.url
@staticmethod
def paper(paper_id, **kwargs):
url = "{}/{}".format(SemanticScholarAPI.PAPER_ENDPOINT, paper_id)
resp = requests.get(url, params=kwargs, headers=SemanticScholarAPI.headers)
return None if resp.status_code != 200 else resp.json() # Paper(**resp.json())
@staticmethod
def author(author_id, **kwargs):
url = "{}/{}".format(SemanticScholarAPI.AUTHOR_ENDPOINT, author_id)
resp = requests.get(url, params=kwargs, headers=SemanticScholarAPI.headers)
return None if resp.status_code != 200 else resp.json() # Author(**resp.json())
@staticmethod
def pdf_url(paper_id):
return "http://pdfs.semanticscholar.org/{}/{}.pdf".format(paper_id[:4], paper_id[4:])
@staticmethod
def raw_paper(paper_id, **kwargs):
url = "{}/{}".format(SemanticScholarAPI.RAW_PAPER_ENDPOINT, paper_id)
resp = requests.get(url, params=kwargs, headers=SemanticScholarAPI.headers)
return None if resp.status_code != 200 else resp.json() # Paper(**resp.json())
@staticmethod
def search(q):
resp = requests.post(SemanticScholarAPI.SEARCH_ENDPOINT, json={
'authors': [],
'coAuthors': [],
'facets': {},
'page': 1,
'pageSize': 10,
'publicationTypes': [],
'queryString': q,
'requireViewablePdf': False,
'sort': "relevance",
'venues': [],
'yearFilter': None,
}, headers=SemanticScholarAPI.headers)
# print(resp.status_code)
return None if resp.status_code != 200 else resp.json()
def fetch_paper(s2, paper_id):
os.makedirs('./datasets/s2/papers/{}/{}'.format(paper_id[0:2], paper_id), exist_ok=True)
paper_fn = './datasets/s2/papers/{}/{}/paper.json'.format(paper_id[0:2], paper_id)
if os.path.exists(paper_fn):
return read_json(paper_fn)
print(paper_id)
paper = s2.paper(paper_id)
if paper is None:
print("Got none paper??")
# time.sleep(random.randint(1, 2))
paper = s2.paper(paper_id)
if paper is None:
print("Paper not found")
return None
write_json(paper_fn, paper)
# time.sleep(random.randint(1, 2))
return paper
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