Researcher / arxiv_public_data /oai_metadata.py
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"""
oia_metadata.py
authors: Matt Bierbaum and Colin Clement
date: 2019-02-25
This module interacts with the Open Archive Initiative API, downloading
the metadata for all Arxiv articles.
Usage
=====
python oia_metadata.py data/<savefile>.json
Notes
=====
The save file is not technically JSON, but individual streamed lines of JSON,
each of which is compressed by gzip. Use the helper function load_metadata
to be sure to open it without error.
Resources
=========
* http://www.openarchives.org/OAI/2.0/openarchivesprotocol.htm
* https://arxiv.org/help/oa/index
"""
import os
import gzip
import glob
import json
import time
import hashlib
import datetime
import requests
import xml.etree.ElementTree as ET
from arxiv_public_data.config import LOGGER, DIR_BASE
log = LOGGER.getChild('metadata')
URL_ARXIV_OAI = 'https://export.arxiv.org/oai2'
URL_CITESEER_OAI = 'http://citeseerx.ist.psu.edu/oai2'
OAI_XML_NAMESPACES = {
'OAI': 'http://www.openarchives.org/OAI/2.0/',
'arXiv': 'http://arxiv.org/OAI/arXivRaw/'
}
def get_list_record_chunk(resumptionToken=None, harvest_url=URL_ARXIV_OAI,
metadataPrefix='arXivRaw'):
"""
Query OIA API for the metadata of 1000 Arxiv article
Parameters
----------
resumptionToken : str
Token for the API which triggers the next 1000 articles
Returns
-------
record_chunks : str
metadata of 1000 arXiv articles as an XML string
"""
parameters = {'verb': 'ListRecords'}
if resumptionToken:
parameters['resumptionToken'] = resumptionToken
else:
parameters['metadataPrefix'] = metadataPrefix
response = requests.get(harvest_url, params=parameters)
if response.status_code == 200:
return response.text
if response.status_code == 503:
secs = int(response.headers.get('Retry-After', 20)) * 1.5
log.info('Requested to wait, waiting {} seconds until retry...'.format(secs))
time.sleep(secs)
return get_list_record_chunk(resumptionToken=resumptionToken)
else:
raise Exception(
'Unknown error in HTTP request {}, status code: {}'.format(
response.url, response.status_code
)
)
def _record_element_text(elm, name):
""" XML helper function for extracting text from leaf (single-node) elements """
item = elm.find('arXiv:{}'.format(name), OAI_XML_NAMESPACES)
return item.text if item is not None else None
def _record_element_all(elm, name):
""" XML helper function for extracting text from queries with multiple nodes """
return elm.findall('arXiv:{}'.format(name), OAI_XML_NAMESPACES)
def parse_record(elm):
"""
Parse the XML element of a single ArXiv article into a dictionary of
attributes
Parameters
----------
elm : xml.etree.ElementTree.Element
Element of the record of a single ArXiv article
Returns
-------
output : dict
Attributes of the ArXiv article stored as a dict with the keys
id, submitter, authors, title, comments, journal-ref, doi, abstract,
report-no, categories, and version
"""
text_keys = [
'id', 'submitter', 'authors', 'title', 'comments',
'journal-ref', 'doi', 'abstract', 'report-no'
]
output = {key: _record_element_text(elm, key) for key in text_keys}
output['categories'] = [
i.text for i in (_record_element_all(elm, 'categories') or [])
]
output['versions'] = [
i.attrib['version'] for i in _record_element_all(elm, 'version')
]
return output
def parse_xml_listrecords(root):
"""
Parse XML of one chunk of the metadata of 1000 ArXiv articles
into a list of dictionaries
Parameters
----------
root : xml.etree.ElementTree.Element
Element containing the records of an entire chunk of ArXiv queries
Returns
-------
records, resumptionToken : list, str
records is a list of 1000 dictionaries, each containing the
attributes of a single arxiv article
resumptionToken is a string which is fed into the subsequent query
"""
resumptionToken = root.find(
'OAI:ListRecords/OAI:resumptionToken',
OAI_XML_NAMESPACES
)
resumptionToken = resumptionToken.text if resumptionToken is not None else ''
records = root.findall(
'OAI:ListRecords/OAI:record/OAI:metadata/arXiv:arXivRaw',
OAI_XML_NAMESPACES
)
records = [parse_record(p) for p in records]
return records, resumptionToken
def check_xml_errors(root):
""" Check for, log, and raise any OAI service errors in the XML """
error = root.find('OAI:error', OAI_XML_NAMESPACES)
if error is not None:
raise RuntimeError(
'OAI service returned error: {}'.format(error.text)
)
def find_default_locations():
outfile = os.path.join(DIR_BASE, 'arxiv-metadata-oai-*.json.gz')
resume = os.path.join(
DIR_BASE, 'arxiv-metadata-oai-*.json.gz-resumptionToken.txt'
)
fn_outfile = sorted(glob.glob(outfile))
fn_resume = sorted(glob.glob(resume))
if len(fn_outfile) > 0:
return fn_outfile[-1]
return None
def all_of_arxiv(outfile=None, resumptionToken=None, autoresume=True):
"""
Download the metadata for every article in the ArXiv via the OAI API
Parameters
----------
outfile : str (default './arxiv-metadata-oai-<date>.json')
name of file where data is stored, appending each chunk of 1000
articles.
resumptionToken : str (default None)
token which instructs the OAI server to continue feeding the next
chunk
autoresume : bool
If true, it looks for a saved resumptionToken in the file
<outfile>-resumptionToken.txt
"""
date = str(datetime.datetime.now()).split(' ')[0]
outfile = (
outfile or # user-supplied
find_default_locations() or # already in progress
os.path.join(
DIR_BASE, 'arxiv-metadata-oai-{}.json.gz'.format(date)
) # new file
)
directory = os.path.split(outfile)[0]
if directory and not os.path.exists(directory):
os.makedirs(directory)
tokenfile = '{}-resumptionToken.txt'.format(outfile)
chunk_index = 0
total_records = 0
log.info('Saving metadata to "{}"'.format(outfile))
resumptionToken = None
if autoresume:
try:
resumptionToken = open(tokenfile, 'r').read()
except Exception as e:
log.warn("No tokenfile found '{}'".format(tokenfile))
log.info("Starting download from scratch...")
while True:
log.info('Index {:4d} | Records {:7d} | resumptionToken "{}"'.format(
chunk_index, total_records, resumptionToken)
)
xml_root = ET.fromstring(get_list_record_chunk(resumptionToken))
check_xml_errors(xml_root)
records, resumptionToken = parse_xml_listrecords(xml_root)
chunk_index = chunk_index + 1
total_records = total_records + len(records)
with gzip.open(outfile, 'at', encoding='utf-8') as fout:
for rec in records:
fout.write(json.dumps(rec) + '\n')
if resumptionToken:
with open(tokenfile, 'w') as fout:
fout.write(resumptionToken)
else:
log.info('No resumption token, query finished')
return
time.sleep(12) # OAI server usually requires a 10s wait
def load_metadata(infile=None):
"""
Load metadata saved by all_of_arxiv, as a list of lines of gzip compressed
json.
Parameters
----------
infile : str or None
name of file saved by gzip. If None, one is attempted to be found
in the expected location with the expected name.
Returns
-------
article_attributes : list
list of dicts, each of which contains the metadata attributes of
the ArXiv articles
"""
fname = infile or find_default_locations()
with gzip.open(fname, 'rt', encoding='utf-8') as fin:
return [json.loads(line) for line in fin.readlines()]
def hash_abstracts(metadata):
""" Replace abstracts with their MD5 hash for legal distribution """
metadata_no_abstract = []
for i in range(len(metadata)):
m = metadata[i].copy()
m['abstract_md5'] = hashlib.md5(m['abstract'].encode()).hexdigest()
del m['abstract']
metadata_no_abstract.append(m)
return metadata_no_abstract
def validate_abstract_hashes(metadata, metadata_no_abstract):
""" Validate that abstracts match the hashes """
for m, n in zip(metadata, metadata_no_abstract):
md5 = hashlib.md5(m['abstract'].encode()).hexdigest()
if not md5 == n['abstract_md5']:
return False
return True