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"""
Pubmed harvest via FTP.
Assumptions:
* fixed hostname and directory structure
* XML files are gzip compressed
* accompanying HTML files contain correct dates
"""
import collections
import gzip
import io
import os
import re
import shutil
import sys
import tempfile
import time
import xml.etree.ElementTree as ET
from ftplib import FTP
from urllib.parse import urljoin, urlparse
import dateparser
from bs4 import BeautifulSoup
from confluent_kafka import KafkaException, Producer
from .harvest_common import HarvestState
class PubmedFTPWorker:
"""
Access Pubmed FTP for daily updates.
* Server directory: ftp://ftp.ncbi.nlm.nih.gov/pubmed/updatefiles
* Docs: ftp://ftp.ncbi.nlm.nih.gov/pubmed/updatefiles/README.txt
Daily Update Files (02/2020)
----------------------------
Each day, NLM produces update files that include new, revised and deleted
citations. The first Update file to be loaded after loading the complete
set of 2019 MEDLINE/PubMed Baseline files is pubmed20n1016.xml.
Usually, three files per update, e.g.:
* ftp://ftp.ncbi.nlm.nih.gov/pubmed/updatefiles/pubmed20n1016_stats.html
* ftp://ftp.ncbi.nlm.nih.gov/pubmed/updatefiles/pubmed20n1016.xml.gz
* ftp://ftp.ncbi.nlm.nih.gov/pubmed/updatefiles/pubmed20n1016.xml.gz.md5
Currently (02/2020) the HTML contains the date.
<html>
<head><title></title></head>
<body>
<h4>Filename: pubmed20n1019.xml -- Created: Wed Dec 18 14:31:09 EST 2019</h4>
<table cellspacing="0" cellpadding="0" border="0" width="300">
<tr>
"""
def __init__(self, kafka_hosts, produce_topic, state_topic, start_date=None, end_date=None):
self.name = 'Pubmed'
self.host = 'ftp.ncbi.nlm.nih.gov'
self.produce_topic = produce_topic
self.state_topic = state_topic
self.kafka_config = {
'bootstrap.servers': kafka_hosts,
'message.max.bytes': 20000000, # ~20 MBytes; broker is ~50 MBytes
}
self.loop_sleep = 60 * 60 # how long to wait, in seconds, between date checks
self.state = HarvestState(start_date, end_date)
self.state.initialize_from_kafka(self.state_topic, self.kafka_config)
self.producer = self._kafka_producer()
self.date_file_map = None
def _kafka_producer(self):
def fail_fast(err, msg):
if err is not None:
print("Kafka producer delivery error: {}".format(err), file=sys.stderr)
print("Bailing out...", file=sys.stderr)
# TODO: should it be sys.exit(-1)?
raise KafkaException(err)
self._kafka_fail_fast = fail_fast
producer_conf = self.kafka_config.copy()
producer_conf.update({
'delivery.report.only.error': True,
'default.topic.config': {
'request.required.acks': -1, # all brokers must confirm
},
})
return Producer(producer_conf)
def fetch_date(self, date):
"""
Fetch file for a given date and feed Kafka one article per message. If
the fetched XML does not contain a PMID, this method will fail. We
build up the mapping from dates to filenames on first run.
"""
if self.date_file_map is None:
self.date_file_map = generate_date_file_map(host=self.host)
if len(self.date_file_map) == 0:
raise ValueError("map from dates to files should not be empty, maybe the HTML changed?")
date_str = date.strftime('%Y-%m-%d')
paths = self.date_file_map.get(date_str)
if paths is None:
print("WARN: no pubmed update for this date: {} (UTC), available dates were: {}".format(date_str, self.date_file_map), file=sys.stderr)
return False
count = 0
for path in paths:
# Fetch and decompress file.
url = "ftp://{}{}".format(self.host, path)
filename = ftpretr(url)
with tempfile.NamedTemporaryFile(prefix='fatcat-ftp-tmp-', delete=False) as decomp:
gzf = gzip.open(filename)
shutil.copyfileobj(gzf, decomp)
# Here, blob is the unparsed XML; we peek into it to use PMID as
# message key. We need streaming, since some updates would consume
# GBs otherwise.
# WARNING: Parsing foreign XML exposes us at some
# https://docs.python.org/3/library/xml.html#xml-vulnerabilities
# here.
for blob in xmlstream(decomp.name, 'PubmedArticle', encoding='utf-8'):
soup = BeautifulSoup(blob, 'xml')
pmid = soup.find('PMID')
if pmid is None:
raise ValueError("no PMID found, please adjust identifier extraction")
count += 1
if count % 50 == 0:
print("... up to {}".format(count), file=sys.stderr)
self.producer.produce(self.produce_topic, blob, key=pmid.text, on_delivery=self._kafka_fail_fast)
self.producer.flush()
os.remove(filename)
os.remove(decomp.name)
return True
def run(self, continuous=False):
while True:
current = self.state.next(continuous)
if current:
print("Fetching DOIs updated on {} (UTC)".format(current), file=sys.stderr)
self.fetch_date(current)
self.state.complete(current, kafka_topic=self.state_topic, kafka_config=self.kafka_config)
continue
if continuous:
print("Sleeping {} seconds...".format(self.loop_sleep))
time.sleep(self.loop_sleep)
# Need to keep the mapping fresh.
self.date_file_map = generate_date_file_map(host=self.host)
else:
break
print("{} DOI ingest caught up".format(self.name))
def generate_date_file_map(host='ftp.ncbi.nlm.nih.gov'):
"""
Generate a DefaultDict[string, set] mapping dates to absolute filepaths on
the server (mostly we have one file, but sometimes more).
Example: {"2020-01-02": set(["/pubmed/updatefiles/pubmed20n1016.xml.gz"]), ...}
"""
mapping = collections.defaultdict(set)
pattern = re.compile(r'Filename: ([^ ]*.xml) -- Created: ([^<]*)')
ftp = FTP(host)
ftp.login()
filenames = ftp.nlst('/pubmed/updatefiles')
for name in filenames:
if not name.endswith('.html'):
continue
sio = io.StringIO()
ftp.retrlines('RETR {}'.format(name), sio.write)
contents = sio.getvalue()
match = pattern.search(contents)
if match is None:
print('pattern miss in {} on: {}, may need to adjust pattern: {}'.format(name, contents, pattern), file=sys.stderr)
continue
filename, filedate = match.groups() # ('pubmed20n1017.xml', 'Tue Dec 17 15:23:32 EST 2019')
date = dateparser.parse(filedate)
fullpath = '/pubmed/updatefiles/{}.gz'.format(filename)
date_str = date.strftime('%Y-%m-%d')
mapping[date_str].add(fullpath)
print('added entry for {}: {}'.format(date_str, fullpath))
print('generated date-file mapping for {} dates'.format(len(mapping)), file=sys.stderr)
return mapping
def ftpretr(url):
"""
Note: This might move into a generic place in the future.
Fetch (RETR) a remote file given by its URL (e.g.
"ftp://ftp.ncbi.nlm.nih.gov/pubmed/updatefiles/pubmed20n1016.xml.gz") to a
local temporary file. Returns the name of the local, closed temporary file.
It is the reponsibility of the caller to cleanup the temporary file.
"""
parsed = urlparse(url)
server, path = parsed.netloc, parsed.path
ftp = FTP(server)
ftp.login()
with tempfile.NamedTemporaryFile(prefix='fatcat-ftp-tmp-', delete=False) as f:
print('retrieving {} from {} to {} ...'.format(path, server, f.name), file=sys.stderr)
ftp.retrbinary('RETR %s' % path, f.write)
ftp.close()
return f.name
def xmlstream(filename, tag, encoding='utf-8'):
"""
Note: This might move into a generic place in the future.
Given a path to an XML file and a tag name (without namespace), stream
through the XML and yield elements denoted by tag as string.
for snippet in xmlstream("sample.xml", "sometag"):
print(len(snippet))
Known vulnerabilities: https://docs.python.org/3/library/xml.html#xml-vulnerabilities
"""
def strip_ns(tag):
if not '}' in tag:
return tag
return tag.split('}')[1]
# https://stackoverflow.com/a/13261805, http://effbot.org/elementtree/iterparse.htm
context = iter(ET.iterparse(filename, events=(
'start',
'end',
)))
try:
_, root = next(context)
except StopIteration:
return
for event, elem in context:
if not strip_ns(elem.tag) == tag or event == 'start':
continue
yield ET.tostring(elem, encoding=encoding)
root.clear()
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