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September 10, 2016 22:21
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Quick fix for the Reference Importer alfred workflow
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#!/usr/bin/env python | |
# encoding: utf-8 | |
""" | |
gscholar.py | |
Created by Andrew Ning on November 16, 2013 | |
Updated by Fred Callaway September 2016 | |
""" | |
from __future__ import print_function | |
import re | |
import sys | |
import alfred | |
import scholar | |
from common import waitForPeriodInQuery | |
class DebugArticle(): | |
def as_citation(self): | |
return """@article{schlaug1997time, | |
title={Time course of the apparent diffusion coefficient (ADC) abnormality in human stroke}, | |
author={Schlaug, G and Siewert, B and Benfield, A and Edelman, RR and Warach, S}, | |
journal={Neurology}, | |
volume={49}, | |
number={1}, | |
pages={113--119}, | |
year={1997}, | |
publisher={AAN Enterprises} | |
}""" | |
MAX_RESULTS = 5 | |
DEBUG = lambda *x: None | |
#DEBUG = lambda *x: print('DEBUG:', *x) | |
#debug_file = open('debug.txt', 'a+') | |
#debug_file.write('\n\n--------------------------------\n') | |
#DEBUG = lambda *x: print(*x, file=debug_file) | |
def get_articles(query): | |
DEBUG('query', query) | |
querier = scholar.ScholarQuerier() | |
# We want bibtex citations. | |
settings = scholar.ScholarSettings() | |
settings.set_citation_format(settings.CITFORM_BIBTEX) | |
querier.apply_settings(settings) | |
# Search for MAX_RESULTS articles that contain all the words in query. | |
schol_query = scholar.SearchScholarQuery() | |
schol_query.set_words(query) | |
schol_query.set_num_page_results(MAX_RESULTS) | |
querier.send_query(schol_query) | |
DEBUG('# articles', len(querier.articles)) | |
return querier.articles | |
def parse_citation(citation): | |
DEBUG('citation', citation) | |
def get_field(field): | |
regex = r'%s={(.*)}' % field | |
match = re.search(regex, citation) | |
if match: | |
return match.group(1) | |
else: | |
return None | |
fields = 'title', 'author', 'journal', 'year' | |
return {field: get_field(field) for field in fields} | |
def format_alfred_items(articles): | |
for idx, art in enumerate(articles): | |
citation = art.as_citation() | |
fields = parse_citation(citation) | |
delimter = '***' # a custom delimeter | |
DEBUG('url_pdf:', art['url_pdf']) | |
pdflink = art['url_pdf'] or 'NO_PDF_LINK' | |
arg = citation + delimter + pdflink | |
yield alfred.Item(title=fields['title'], | |
subtitle=fields['author'], | |
attributes={'uid': idx, 'arg': arg}, | |
) | |
def main(debug=False): | |
if debug: | |
query = sys.argv[1] | |
else: | |
title='Google Scholar Search' | |
query = waitForPeriodInQuery(title) # user input | |
articles = get_articles(query) | |
alfred_items = list(format_alfred_items(articles)) | |
if alfred_items: | |
alfred.write(alfred.xml(alfred_items)) | |
else: | |
alfred_items = [alfred.Item(title='Nothing found.', | |
subtitle="", | |
attributes={'uid': 'none'} | |
)] | |
alfred.write(alfred.xml(alfred_items)) | |
if __name__ == '__main__': | |
main(debug=True) | |
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#! /usr/bin/env python | |
""" | |
This module provides classes for querying Google Scholar and parsing | |
returned results. It currently *only* processes the first results | |
page. It is not a recursive crawler. | |
""" | |
# ChangeLog | |
# --------- | |
# TEMP Added a hacky regex search to find the pdf url | |
# | |
# 2.10 Merged a fix for the "TypError: quote_from_bytes()" problem on | |
# Python 3.x from hinnefe2. | |
# | |
# 2.9 Fixed Unicode problem in certain queries. Thanks to smidm for | |
# this contribution. | |
# | |
# 2.8 Improved quotation-mark handling for multi-word phrases in | |
# queries. Also, log URLs %-decoded in debugging output, for | |
# easier interpretation. | |
# | |
# 2.7 Ability to extract content excerpts as reported in search results. | |
# Also a fix to -s|--some and -n|--none: these did not yet support | |
# passing lists of phrases. This now works correctly if you provide | |
# separate phrases via commas. | |
# | |
# 2.6 Ability to disable inclusion of patents and citations. This | |
# has the same effect as unchecking the two patents/citations | |
# checkboxes in the Scholar UI, which are checked by default. | |
# Accordingly, the command-line options are --no-patents and | |
# --no-citations. | |
# | |
# 2.5: Ability to parse global result attributes. This right now means | |
# only the total number of results as reported by Scholar at the | |
# top of the results pages (e.g. "About 31 results"). Such | |
# global result attributes end up in the new attrs member of the | |
# used ScholarQuery class. To render those attributes, you need | |
# to use the new --txt-globals flag. | |
# | |
# Rendering global results is currently not supported for CSV | |
# (as they don't fit the one-line-per-article pattern). For | |
# grepping, you can separate the global results from the | |
# per-article ones by looking for a line prefix of "[G]": | |
# | |
# $ scholar.py --txt-globals -a "Einstein" | |
# [G] Results 11900 | |
# | |
# Title Can quantum-mechanical description of physical reality be considered complete? | |
# URL http://journals.aps.org/pr/abstract/10.1103/PhysRev.47.777 | |
# Year 1935 | |
# Citations 12804 | |
# Versions 80 | |
# Cluster ID 8174092782678430881 | |
# Citations list http://scholar.google.com/scholar?cites=8174092782678430881&as_sdt=2005&sciodt=0,5&hl=en | |
# Versions list http://scholar.google.com/scholar?cluster=8174092782678430881&hl=en&as_sdt=0,5 | |
# | |
# 2.4: Bugfixes: | |
# | |
# - Correctly handle Unicode characters when reporting results | |
# in text format. | |
# | |
# - Correctly parse citation-only (i.e. linkless) results in | |
# Google Scholar results. | |
# | |
# 2.3: Additional features: | |
# | |
# - Direct extraction of first PDF version of an article | |
# | |
# - Ability to pull up an article cluster's results directly. | |
# | |
# This is based on work from @aliparsai on GitHub -- thanks! | |
# | |
# - Suppress missing search results (so far shown as "None" in | |
# the textual output form. | |
# | |
# 2.2: Added a logging option that reports full HTML contents, for | |
# debugging, as well as incrementally more detailed logging via | |
# -d up to -dddd. | |
# | |
# 2.1: Additional features: | |
# | |
# - Improved cookie support: the new --cookie-file options | |
# allows the reuse of a cookie across invocations of the tool; | |
# this allows higher query rates than would otherwise result | |
# when invoking scholar.py repeatedly. | |
# | |
# - Workaround: remove the num= URL-encoded argument from parsed | |
# URLs. For some reason, Google Scholar decides to propagate | |
# the value from the original query into the URLs embedded in | |
# the results. | |
# | |
# 2.0: Thorough overhaul of design, with substantial improvements: | |
# | |
# - Full support for advanced search arguments provided by | |
# Google Scholar | |
# | |
# - Support for retrieval of external citation formats, such as | |
# BibTeX or EndNote | |
# | |
# - Simple logging framework to track activity during execution | |
# | |
# 1.7: Python 3 and BeautifulSoup 4 compatibility, as well as printing | |
# of usage info when no options are given. Thanks to Pablo | |
# Oliveira (https://github.com/pablooliveira)! | |
# | |
# Also a bunch of pylinting and code cleanups. | |
# | |
# 1.6: Cookie support, from Matej Smid (https://github.com/palmstrom). | |
# | |
# 1.5: A few changes: | |
# | |
# - Tweak suggested by Tobias Isenberg: use unicode during CSV | |
# formatting. | |
# | |
# - The option -c|--count now understands numbers up to 100 as | |
# well. Likewise suggested by Tobias. | |
# | |
# - By default, text rendering mode is now active. This avoids | |
# confusion when playing with the script, as it used to report | |
# nothing when the user didn't select an explicit output mode. | |
# | |
# 1.4: Updates to reflect changes in Scholar's page rendering, | |
# contributed by Amanda Hay at Tufts -- thanks! | |
# | |
# 1.3: Updates to reflect changes in Scholar's page rendering. | |
# | |
# 1.2: Minor tweaks, mostly thanks to helpful feedback from Dan Bolser. | |
# Thanks Dan! | |
# | |
# 1.1: Made author field explicit, added --author option. | |
# | |
# Don't complain about missing docstrings: pylint: disable-msg=C0111 | |
# | |
# Copyright 2010--2014 Christian Kreibich. All rights reserved. | |
# | |
# Redistribution and use in source and binary forms, with or without | |
# modification, are permitted provided that the following conditions are | |
# met: | |
# | |
# 1. Redistributions of source code must retain the above copyright | |
# notice, this list of conditions and the following disclaimer. | |
# | |
# 2. Redistributions in binary form must reproduce the above | |
# copyright notice, this list of conditions and the following | |
# disclaimer in the documentation and/or other materials provided | |
# with the distribution. | |
# | |
# THIS SOFTWARE IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED | |
# WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF | |
# MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE | |
# DISCLAIMED. IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, | |
# INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES | |
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR | |
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) | |
# HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, | |
# STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING | |
# IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE | |
# POSSIBILITY OF SUCH DAMAGE. | |
import optparse | |
import os | |
import sys | |
import re | |
try: | |
# Try importing for Python 3 | |
# pylint: disable-msg=F0401 | |
# pylint: disable-msg=E0611 | |
from urllib.request import HTTPCookieProcessor, Request, build_opener | |
from urllib.parse import quote, unquote | |
from http.cookiejar import MozillaCookieJar | |
except ImportError: | |
# Fallback for Python 2 | |
from urllib2 import Request, build_opener, HTTPCookieProcessor | |
from urllib import quote, unquote | |
from cookielib import MozillaCookieJar | |
# Import BeautifulSoup -- try 4 first, fall back to older | |
try: | |
from bs4 import BeautifulSoup | |
except ImportError: | |
try: | |
from BeautifulSoup import BeautifulSoup | |
except ImportError: | |
print('We need BeautifulSoup, sorry...') | |
sys.exit(1) | |
# Support unicode in both Python 2 and 3. In Python 3, unicode is str. | |
if sys.version_info[0] == 3: | |
unicode = str # pylint: disable-msg=W0622 | |
encode = lambda s: unicode(s) # pylint: disable-msg=C0103 | |
else: | |
def encode(s): | |
if isinstance(s, basestring): | |
return s.encode('utf-8') # pylint: disable-msg=C0103 | |
else: | |
return str(s) | |
class Error(Exception): | |
"""Base class for any Scholar error.""" | |
class FormatError(Error): | |
"""A query argument or setting was formatted incorrectly.""" | |
class QueryArgumentError(Error): | |
"""A query did not have a suitable set of arguments.""" | |
class ScholarConf(object): | |
"""Helper class for global settings.""" | |
VERSION = '2.10' | |
LOG_LEVEL = 1 | |
MAX_PAGE_RESULTS = 20 # Current maximum for per-page results | |
SCHOLAR_SITE = 'http://scholar.google.com' | |
# USER_AGENT = 'Mozilla/5.0 (X11; U; FreeBSD i386; en-US; rv:1.9.2.9) Gecko/20100913 Firefox/3.6.9' | |
# Let's update at this point (3/14): | |
USER_AGENT = 'Mozilla/5.0 (X11; Linux x86_64; rv:27.0) Gecko/20100101 Firefox/27.0' | |
# If set, we will use this file to read/save cookies to enable | |
# cookie use across sessions. | |
COOKIE_JAR_FILE = None | |
class ScholarUtils(object): | |
"""A wrapper for various utensils that come in handy.""" | |
LOG_LEVELS = {'error': 1, | |
'warn': 2, | |
'info': 3, | |
'debug': 4} | |
@staticmethod | |
def ensure_int(arg, msg=None): | |
try: | |
return int(arg) | |
except ValueError: | |
raise FormatError(msg) | |
@staticmethod | |
def log(level, msg): | |
if level not in ScholarUtils.LOG_LEVELS.keys(): | |
return | |
if ScholarUtils.LOG_LEVELS[level] > ScholarConf.LOG_LEVEL: | |
return | |
sys.stderr.write('[%5s] %s' % (level.upper(), msg + '\n')) | |
sys.stderr.flush() | |
class ScholarArticle(object): | |
""" | |
A class representing articles listed on Google Scholar. The class | |
provides basic dictionary-like behavior. | |
""" | |
def __init__(self): | |
# The triplets for each keyword correspond to (1) the actual | |
# value, (2) a user-suitable label for the item, and (3) an | |
# ordering index: | |
self.attrs = { | |
'title': [None, 'Title', 0], | |
'url': [None, 'URL', 1], | |
'year': [None, 'Year', 2], | |
'num_citations': [0, 'Citations', 3], | |
'num_versions': [0, 'Versions', 4], | |
'cluster_id': [None, 'Cluster ID', 5], | |
'url_pdf': [None, 'PDF link', 6], | |
'url_citations': [None, 'Citations list', 7], | |
'url_versions': [None, 'Versions list', 8], | |
'url_citation': [None, 'Citation link', 9], | |
'excerpt': [None, 'Excerpt', 10], | |
} | |
# The citation data in one of the standard export formats, | |
# e.g. BibTeX. | |
self.citation_data = None | |
def __getitem__(self, key): | |
if key in self.attrs: | |
return self.attrs[key][0] | |
return None | |
def __len__(self): | |
return len(self.attrs) | |
def __setitem__(self, key, item): | |
if key in self.attrs: | |
self.attrs[key][0] = item | |
else: | |
self.attrs[key] = [item, key, len(self.attrs)] | |
def __delitem__(self, key): | |
if key in self.attrs: | |
del self.attrs[key] | |
def set_citation_data(self, citation_data): | |
self.citation_data = citation_data | |
def as_txt(self): | |
# Get items sorted in specified order: | |
items = sorted(list(self.attrs.values()), key=lambda item: item[2]) | |
# Find largest label length: | |
max_label_len = max([len(str(item[1])) for item in items]) | |
fmt = '%%%ds %%s' % max_label_len | |
res = [] | |
for item in items: | |
if item[0] is not None: | |
res.append(fmt % (item[1], item[0])) | |
return '\n'.join(res) | |
def as_csv(self, header=False, sep='|'): | |
# Get keys sorted in specified order: | |
keys = [pair[0] for pair in \ | |
sorted([(key, val[2]) for key, val in list(self.attrs.items())], | |
key=lambda pair: pair[1])] | |
res = [] | |
if header: | |
res.append(sep.join(keys)) | |
res.append(sep.join([unicode(self.attrs[key][0]) for key in keys])) | |
return '\n'.join(res) | |
def as_citation(self): | |
""" | |
Reports the article in a standard citation format. This works only | |
if you have configured the querier to retrieve a particular | |
citation export format. (See ScholarSettings.) | |
""" | |
return self.citation_data or '' | |
class ScholarArticleParser(object): | |
""" | |
ScholarArticleParser can parse HTML document strings obtained from | |
Google Scholar. This is a base class; concrete implementations | |
adapting to tweaks made by Google over time follow below. | |
""" | |
def __init__(self, site=None): | |
self.soup = None | |
self.article = None | |
self.site = site or ScholarConf.SCHOLAR_SITE | |
self.year_re = re.compile(r'\b(?:20|19)\d{2}\b') | |
def handle_article(self, art): | |
""" | |
The parser invokes this callback on each article parsed | |
successfully. In this base class, the callback does nothing. | |
""" | |
def handle_num_results(self, num_results): | |
""" | |
The parser invokes this callback if it determines the overall | |
number of results, as reported on the parsed results page. The | |
base class implementation does nothing. | |
""" | |
def parse(self, html): | |
""" | |
This method initiates parsing of HTML content, cleans resulting | |
content as needed, and notifies the parser instance of | |
resulting instances via the handle_article callback. | |
""" | |
self.soup = BeautifulSoup(html) | |
# This parses any global, non-itemized attributes from the page. | |
self._parse_globals() | |
# Now parse out listed articles: | |
for div in self.soup.findAll(ScholarArticleParser._tag_results_checker): | |
self._parse_article(div) | |
self._clean_article() | |
if self.article['title']: | |
self.handle_article(self.article) | |
def _clean_article(self): | |
""" | |
This gets invoked after we have parsed an article, to do any | |
needed cleanup/polishing before we hand off the resulting | |
article. | |
""" | |
if self.article['title']: | |
self.article['title'] = self.article['title'].strip() | |
def _parse_globals(self): | |
tag = self.soup.find(name='div', attrs={'id': 'gs_ab_md'}) | |
if tag is not None: | |
raw_text = tag.findAll(text=True) | |
# raw text is a list because the body contains <b> etc | |
if raw_text is not None and len(raw_text) > 0: | |
try: | |
num_results = raw_text[0].split()[1] | |
# num_results may now contain commas to separate | |
# thousands, strip: | |
num_results = num_results.replace(',', '') | |
num_results = int(num_results) | |
self.handle_num_results(num_results) | |
except (IndexError, ValueError): | |
pass | |
def _parse_article(self, div): | |
self.article = ScholarArticle() | |
for tag in div: | |
if not hasattr(tag, 'name'): | |
continue | |
if tag.name == 'div' and self._tag_has_class(tag, 'gs_rt') and \ | |
tag.h3 and tag.h3.a: | |
self.article['title'] = ''.join(tag.h3.a.findAll(text=True)) | |
self.article['url'] = self._path2url(tag.h3.a['href']) | |
if self.article['url'].endswith('.pdf'): | |
self.article['url_pdf'] = self.article['url'] | |
if tag.name == 'font': | |
for tag2 in tag: | |
if not hasattr(tag2, 'name'): | |
continue | |
if tag2.name == 'span' and \ | |
self._tag_has_class(tag2, 'gs_fl'): | |
self._parse_links(tag2) | |
def _parse_links(self, span): | |
for tag in span: | |
if not hasattr(tag, 'name'): | |
continue | |
if tag.name != 'a' or tag.get('href') is None: | |
continue | |
if tag.get('href').startswith('/scholar?cites'): | |
if hasattr(tag, 'string') and tag.string.startswith('Cited by'): | |
self.article['num_citations'] = \ | |
self._as_int(tag.string.split()[-1]) | |
# Weird Google Scholar behavior here: if the original | |
# search query came with a number-of-results limit, | |
# then this limit gets propagated to the URLs embedded | |
# in the results page as well. Same applies to | |
# versions URL in next if-block. | |
self.article['url_citations'] = \ | |
self._strip_url_arg('num', self._path2url(tag.get('href'))) | |
# We can also extract the cluster ID from the versions | |
# URL. Note that we know that the string contains "?", | |
# from the above if-statement. | |
args = self.article['url_citations'].split('?', 1)[1] | |
for arg in args.split('&'): | |
if arg.startswith('cites='): | |
self.article['cluster_id'] = arg[6:] | |
if tag.get('href').startswith('/scholar?cluster'): | |
if hasattr(tag, 'string') and tag.string.startswith('All '): | |
self.article['num_versions'] = \ | |
self._as_int(tag.string.split()[1]) | |
self.article['url_versions'] = \ | |
self._strip_url_arg('num', self._path2url(tag.get('href'))) | |
if tag.getText().startswith('Import'): | |
self.article['url_citation'] = self._path2url(tag.get('href')) | |
@staticmethod | |
def _tag_has_class(tag, klass): | |
""" | |
This predicate function checks whether a BeatifulSoup Tag instance | |
has a class attribute. | |
""" | |
res = tag.get('class') or [] | |
if type(res) != list: | |
# BeautifulSoup 3 can return e.g. 'gs_md_wp gs_ttss', | |
# so split -- conveniently produces a list in any case | |
res = res.split() | |
return klass in res | |
@staticmethod | |
def _tag_results_checker(tag): | |
return tag.name == 'div' \ | |
and ScholarArticleParser._tag_has_class(tag, 'gs_r') | |
@staticmethod | |
def _as_int(obj): | |
try: | |
return int(obj) | |
except ValueError: | |
return None | |
def _path2url(self, path): | |
"""Helper, returns full URL in case path isn't one.""" | |
if path.startswith('http://'): | |
return path | |
if not path.startswith('/'): | |
path = '/' + path | |
return self.site + path | |
def _strip_url_arg(self, arg, url): | |
"""Helper, removes a URL-encoded argument, if present.""" | |
parts = url.split('?', 1) | |
if len(parts) != 2: | |
return url | |
res = [] | |
for part in parts[1].split('&'): | |
if not part.startswith(arg + '='): | |
res.append(part) | |
return parts[0] + '?' + '&'.join(res) | |
class ScholarArticleParser120201(ScholarArticleParser): | |
""" | |
This class reflects update to the Scholar results page layout that | |
Google recently. | |
""" | |
def _parse_article(self, div): | |
self.article = ScholarArticle() | |
for tag in div: | |
if not hasattr(tag, 'name'): | |
continue | |
if tag.name == 'h3' and self._tag_has_class(tag, 'gs_rt') and tag.a: | |
self.article['title'] = ''.join(tag.a.findAll(text=True)) | |
self.article['url'] = self._path2url(tag.a['href']) | |
if self.article['url'].endswith('.pdf'): | |
self.article['url_pdf'] = self.article['url'] | |
if tag.name == 'div' and self._tag_has_class(tag, 'gs_a'): | |
year = self.year_re.findall(tag.text) | |
self.article['year'] = year[0] if len(year) > 0 else None | |
if tag.name == 'div' and self._tag_has_class(tag, 'gs_fl'): | |
self._parse_links(tag) | |
class ScholarArticleParser120726(ScholarArticleParser): | |
""" | |
This class reflects update to the Scholar results page layout that | |
Google made 07/26/12. | |
""" | |
def _parse_article(self, div): | |
self.article = ScholarArticle() | |
# Easy doesn't always mean incorrect. | |
pdf_match = re.search(r'href="(http://.*?\.pdf)">', str(div)) | |
if pdf_match: | |
self.article['url_pdf'] = pdf_match.group(1) | |
for tag in div: | |
if not hasattr(tag, 'name'): | |
continue | |
if str(tag).lower().find('.pdf'): | |
if tag.find('div', {'class': 'gs_ttss'}): | |
self._parse_links(tag.find('div', {'class': 'gs_ttss'})) | |
if tag.name == 'div' and self._tag_has_class(tag, 'gs_ri'): | |
# There are (at least) two formats here. In the first | |
# one, we have a link, e.g.: | |
# | |
# <h3 class="gs_rt"> | |
# <a href="http://dl.acm.org/citation.cfm?id=972384" class="yC0"> | |
# <b>Honeycomb</b>: creating intrusion detection signatures using | |
# honeypots | |
# </a> | |
# </h3> | |
# | |
# In the other, there's no actual link -- it's what | |
# Scholar renders as "CITATION" in the HTML: | |
# | |
# <h3 class="gs_rt"> | |
# <span class="gs_ctu"> | |
# <span class="gs_ct1">[CITATION]</span> | |
# <span class="gs_ct2">[C]</span> | |
# </span> | |
# <b>Honeycomb</b> automated ids signature creation using honeypots | |
# </h3> | |
# | |
# We now distinguish the two. | |
try: | |
atag = tag.h3.a | |
self.article['title'] = ''.join(atag.findAll(text=True)) | |
self.article['url'] = self._path2url(atag['href']) | |
if self.article['url'].endswith('.pdf'): | |
self.article['url_pdf'] = self.article['url'] | |
except: | |
# Remove a few spans that have unneeded content (e.g. [CITATION]) | |
for span in tag.h3.findAll(name='span'): | |
span.clear() | |
self.article['title'] = ''.join(tag.h3.findAll(text=True)) | |
if tag.find('div', {'class': 'gs_a'}): | |
year = self.year_re.findall(tag.find('div', {'class': 'gs_a'}).text) | |
self.article['year'] = year[0] if len(year) > 0 else None | |
if tag.find('div', {'class': 'gs_fl'}): | |
self._parse_links(tag.find('div', {'class': 'gs_fl'})) | |
if tag.find('div', {'class': 'gs_rs'}): | |
# These are the content excerpts rendered into the results. | |
raw_text = tag.find('div', {'class': 'gs_rs'}).findAll(text=True) | |
if len(raw_text) > 0: | |
raw_text = ''.join(raw_text) | |
raw_text = raw_text.replace('\n', '') | |
self.article['excerpt'] = raw_text | |
class ScholarQuery(object): | |
""" | |
The base class for any kind of results query we send to Scholar. | |
""" | |
def __init__(self): | |
self.url = None | |
# The number of results requested from Scholar -- not the | |
# total number of results it reports (the latter gets stored | |
# in attrs, see below). | |
self.num_results = ScholarConf.MAX_PAGE_RESULTS | |
# Queries may have global result attributes, similar to | |
# per-article attributes in ScholarArticle. The exact set of | |
# attributes may differ by query type, but they all share the | |
# basic data structure: | |
self.attrs = {} | |
def set_num_page_results(self, num_page_results): | |
msg = 'maximum number of results on page must be numeric' | |
self.num_results = ScholarUtils.ensure_int(num_page_results, msg) | |
def get_url(self): | |
""" | |
Returns a complete, submittable URL string for this particular | |
query instance. The URL and its arguments will vary depending | |
on the query. | |
""" | |
return None | |
def _add_attribute_type(self, key, label, default_value=None): | |
""" | |
Adds a new type of attribute to the list of attributes | |
understood by this query. Meant to be used by the constructors | |
in derived classes. | |
""" | |
if len(self.attrs) == 0: | |
self.attrs[key] = [default_value, label, 0] | |
return | |
idx = max([item[2] for item in self.attrs.values()]) + 1 | |
self.attrs[key] = [default_value, label, idx] | |
def __getitem__(self, key): | |
"""Getter for attribute value. Returns None if no such key.""" | |
if key in self.attrs: | |
return self.attrs[key][0] | |
return None | |
def __setitem__(self, key, item): | |
"""Setter for attribute value. Does nothing if no such key.""" | |
if key in self.attrs: | |
self.attrs[key][0] = item | |
def _parenthesize_phrases(self, query): | |
""" | |
Turns a query string containing comma-separated phrases into a | |
space-separated list of tokens, quoted if containing | |
whitespace. For example, input | |
'some words, foo, bar' | |
becomes | |
'"some words" foo bar' | |
This comes in handy during the composition of certain queries. | |
""" | |
if query.find(',') < 0: | |
return query | |
phrases = [] | |
for phrase in query.split(','): | |
phrase = phrase.strip() | |
if phrase.find(' ') > 0: | |
phrase = '"' + phrase + '"' | |
phrases.append(phrase) | |
return ' '.join(phrases) | |
class ClusterScholarQuery(ScholarQuery): | |
""" | |
This version just pulls up an article cluster whose ID we already | |
know about. | |
""" | |
SCHOLAR_CLUSTER_URL = ScholarConf.SCHOLAR_SITE + '/scholar?' \ | |
+ 'cluster=%(cluster)s' \ | |
+ '&num=%(num)s' | |
def __init__(self, cluster=None): | |
ScholarQuery.__init__(self) | |
self._add_attribute_type('num_results', 'Results', 0) | |
self.cluster = None | |
self.set_cluster(cluster) | |
def set_cluster(self, cluster): | |
""" | |
Sets search to a Google Scholar results cluster ID. | |
""" | |
msg = 'cluster ID must be numeric' | |
self.cluster = ScholarUtils.ensure_int(cluster, msg) | |
def get_url(self): | |
if self.cluster is None: | |
raise QueryArgumentError('cluster query needs cluster ID') | |
urlargs = {'cluster': self.cluster, | |
'num': self.num_results or ScholarConf.MAX_PAGE_RESULTS} | |
for key, val in urlargs.items(): | |
urlargs[key] = quote(encode(val)) | |
return self.SCHOLAR_CLUSTER_URL % urlargs | |
class SearchScholarQuery(ScholarQuery): | |
""" | |
This version represents the search query parameters the user can | |
configure on the Scholar website, in the advanced search options. | |
""" | |
SCHOLAR_QUERY_URL = ScholarConf.SCHOLAR_SITE + '/scholar?' \ | |
+ 'as_q=%(words)s' \ | |
+ '&as_epq=%(phrase)s' \ | |
+ '&as_oq=%(words_some)s' \ | |
+ '&as_eq=%(words_none)s' \ | |
+ '&as_occt=%(scope)s' \ | |
+ '&as_sauthors=%(authors)s' \ | |
+ '&as_publication=%(pub)s' \ | |
+ '&as_ylo=%(ylo)s' \ | |
+ '&as_yhi=%(yhi)s' \ | |
+ '&as_sdt=%(patents)s%%2C5' \ | |
+ '&as_vis=%(citations)s' \ | |
+ '&btnG=&hl=en' \ | |
+ '&num=%(num)s' | |
def __init__(self): | |
ScholarQuery.__init__(self) | |
self._add_attribute_type('num_results', 'Results', 0) | |
self.words = None # The default search behavior | |
self.words_some = None # At least one of those words | |
self.words_none = None # None of these words | |
self.phrase = None | |
self.scope_title = False # If True, search in title only | |
self.author = None | |
self.pub = None | |
self.timeframe = [None, None] | |
self.include_patents = True | |
self.include_citations = True | |
def set_words(self, words): | |
"""Sets words that *all* must be found in the result.""" | |
self.words = words | |
def set_words_some(self, words): | |
"""Sets words of which *at least one* must be found in result.""" | |
self.words_some = words | |
def set_words_none(self, words): | |
"""Sets words of which *none* must be found in the result.""" | |
self.words_none = words | |
def set_phrase(self, phrase): | |
"""Sets phrase that must be found in the result exactly.""" | |
self.phrase = phrase | |
def set_scope(self, title_only): | |
""" | |
Sets Boolean indicating whether to search entire article or title | |
only. | |
""" | |
self.scope_title = title_only | |
def set_author(self, author): | |
"""Sets names that must be on the result's author list.""" | |
self.author = author | |
def set_pub(self, pub): | |
"""Sets the publication in which the result must be found.""" | |
self.pub = pub | |
def set_timeframe(self, start=None, end=None): | |
""" | |
Sets timeframe (in years as integer) in which result must have | |
appeared. It's fine to specify just start or end, or both. | |
""" | |
if start: | |
start = ScholarUtils.ensure_int(start) | |
if end: | |
end = ScholarUtils.ensure_int(end) | |
self.timeframe = [start, end] | |
def set_include_citations(self, yesorno): | |
self.include_citations = yesorno | |
def set_include_patents(self, yesorno): | |
self.include_patents = yesorno | |
def get_url(self): | |
if self.words is None and self.words_some is None \ | |
and self.words_none is None and self.phrase is None \ | |
and self.author is None and self.pub is None \ | |
and self.timeframe[0] is None and self.timeframe[1] is None: | |
raise QueryArgumentError('search query needs more parameters') | |
# If we have some-words or none-words lists, we need to | |
# process them so GS understands them. For simple | |
# space-separeted word lists, there's nothing to do. For lists | |
# of phrases we have to ensure quotations around the phrases, | |
# separating them by whitespace. | |
words_some = None | |
words_none = None | |
if self.words_some: | |
words_some = self._parenthesize_phrases(self.words_some) | |
if self.words_none: | |
words_none = self._parenthesize_phrases(self.words_none) | |
urlargs = {'words': self.words or '', | |
'words_some': words_some or '', | |
'words_none': words_none or '', | |
'phrase': self.phrase or '', | |
'scope': 'title' if self.scope_title else 'any', | |
'authors': self.author or '', | |
'pub': self.pub or '', | |
'ylo': self.timeframe[0] or '', | |
'yhi': self.timeframe[1] or '', | |
'patents': '0' if self.include_patents else '1', | |
'citations': '0' if self.include_citations else '1', | |
'num': self.num_results or ScholarConf.MAX_PAGE_RESULTS} | |
for key, val in urlargs.items(): | |
urlargs[key] = quote(encode(val)) | |
return self.SCHOLAR_QUERY_URL % urlargs | |
class ScholarSettings(object): | |
""" | |
This class lets you adjust the Scholar settings for your | |
session. It's intended to mirror the features tunable in the | |
Scholar Settings pane, but right now it's a bit basic. | |
""" | |
CITFORM_NONE = 0 | |
CITFORM_REFWORKS = 1 | |
CITFORM_REFMAN = 2 | |
CITFORM_ENDNOTE = 3 | |
CITFORM_BIBTEX = 4 | |
def __init__(self): | |
self.citform = 0 # Citation format, default none | |
self.per_page_results = ScholarConf.MAX_PAGE_RESULTS | |
self._is_configured = False | |
def set_citation_format(self, citform): | |
citform = ScholarUtils.ensure_int(citform) | |
if citform < 0 or citform > self.CITFORM_BIBTEX: | |
raise FormatError('citation format invalid, is "%s"' \ | |
% citform) | |
self.citform = citform | |
self._is_configured = True | |
def set_per_page_results(self, per_page_results): | |
msg = 'page results must be integer' | |
self.per_page_results = ScholarUtils.ensure_int(per_page_results, msg) | |
self.per_page_results = min(self.per_page_results, | |
ScholarConf.MAX_PAGE_RESULTS) | |
self._is_configured = True | |
def is_configured(self): | |
return self._is_configured | |
class ScholarQuerier(object): | |
""" | |
ScholarQuerier instances can conduct a search on Google Scholar | |
with subsequent parsing of the resulting HTML content. The | |
articles found are collected in the articles member, a list of | |
ScholarArticle instances. | |
""" | |
# Default URLs for visiting and submitting Settings pane, as of 3/14 | |
GET_SETTINGS_URL = ScholarConf.SCHOLAR_SITE + '/scholar_settings?' \ | |
+ 'sciifh=1&hl=en&as_sdt=0,5' | |
SET_SETTINGS_URL = ScholarConf.SCHOLAR_SITE + '/scholar_setprefs?' \ | |
+ 'q=' \ | |
+ '&scisig=%(scisig)s' \ | |
+ '&inststart=0' \ | |
+ '&as_sdt=1,5' \ | |
+ '&as_sdtp=' \ | |
+ '&num=%(num)s' \ | |
+ '&scis=%(scis)s' \ | |
+ '%(scisf)s' \ | |
+ '&hl=en&lang=all&instq=&inst=569367360547434339&save=' | |
# Older URLs: | |
# ScholarConf.SCHOLAR_SITE + '/scholar?q=%s&hl=en&btnG=Search&as_sdt=2001&as_sdtp=on | |
class Parser(ScholarArticleParser120726): | |
def __init__(self, querier): | |
ScholarArticleParser120726.__init__(self) | |
self.querier = querier | |
def handle_num_results(self, num_results): | |
if self.querier is not None and self.querier.query is not None: | |
self.querier.query['num_results'] = num_results | |
def handle_article(self, art): | |
self.querier.add_article(art) | |
def __init__(self): | |
self.articles = [] | |
self.query = None | |
self.cjar = MozillaCookieJar() | |
# If we have a cookie file, load it: | |
if ScholarConf.COOKIE_JAR_FILE and \ | |
os.path.exists(ScholarConf.COOKIE_JAR_FILE): | |
try: | |
self.cjar.load(ScholarConf.COOKIE_JAR_FILE, | |
ignore_discard=True) | |
ScholarUtils.log('info', 'loaded cookies file') | |
except Exception as msg: | |
ScholarUtils.log('warn', 'could not load cookies file: %s' % msg) | |
self.cjar = MozillaCookieJar() # Just to be safe | |
self.opener = build_opener(HTTPCookieProcessor(self.cjar)) | |
self.settings = None # Last settings object, if any | |
def apply_settings(self, settings): | |
""" | |
Applies settings as provided by a ScholarSettings instance. | |
""" | |
if settings is None or not settings.is_configured(): | |
return True | |
self.settings = settings | |
# This is a bit of work. We need to actually retrieve the | |
# contents of the Settings pane HTML in order to extract | |
# hidden fields before we can compose the query for updating | |
# the settings. | |
html = self._get_http_response(url=self.GET_SETTINGS_URL, | |
log_msg='dump of settings form HTML', | |
err_msg='requesting settings failed') | |
if html is None: | |
return False | |
# Now parse the required stuff out of the form. We require the | |
# "scisig" token to make the upload of our settings acceptable | |
# to Google. | |
soup = BeautifulSoup(html) | |
tag = soup.find(name='form', attrs={'id': 'gs_settings_form'}) | |
if tag is None: | |
ScholarUtils.log('info', 'parsing settings failed: no form') | |
return False | |
tag = tag.find('input', attrs={'type':'hidden', 'name':'scisig'}) | |
if tag is None: | |
ScholarUtils.log('info', 'parsing settings failed: scisig') | |
return False | |
urlargs = {'scisig': tag['value'], | |
'num': settings.per_page_results, | |
'scis': 'no', | |
'scisf': ''} | |
if settings.citform != 0: | |
urlargs['scis'] = 'yes' | |
urlargs['scisf'] = '&scisf=%d' % settings.citform | |
html = self._get_http_response(url=self.SET_SETTINGS_URL % urlargs, | |
log_msg='dump of settings result HTML', | |
err_msg='applying setttings failed') | |
if html is None: | |
return False | |
ScholarUtils.log('info', 'settings applied') | |
return True | |
def send_query(self, query): | |
""" | |
This method initiates a search query (a ScholarQuery instance) | |
with subsequent parsing of the response. | |
""" | |
self.clear_articles() | |
self.query = query | |
html = self._get_http_response(url=query.get_url(), | |
log_msg='dump of query response HTML', | |
err_msg='results retrieval failed') | |
if html is None: | |
return | |
self.parse(html) | |
def get_citation_data(self, article): | |
""" | |
Given an article, retrieves citation link. Note, this requires that | |
you adjusted the settings to tell Google Scholar to actually | |
provide this information, *prior* to retrieving the article. | |
""" | |
if article['url_citation'] is None: | |
return False | |
if article.citation_data is not None: | |
return True | |
ScholarUtils.log('info', 'retrieving citation export data') | |
data = self._get_http_response(url=article['url_citation'], | |
log_msg='citation data response', | |
err_msg='requesting citation data failed') | |
if data is None: | |
return False | |
article.set_citation_data(data) | |
return True | |
def parse(self, html): | |
""" | |
This method allows parsing of provided HTML content. | |
""" | |
parser = self.Parser(self) | |
parser.parse(html) | |
def add_article(self, art): | |
self.get_citation_data(art) | |
self.articles.append(art) | |
def clear_articles(self): | |
"""Clears any existing articles stored from previous queries.""" | |
self.articles = [] | |
def save_cookies(self): | |
""" | |
This stores the latest cookies we're using to disk, for reuse in a | |
later session. | |
""" | |
if ScholarConf.COOKIE_JAR_FILE is None: | |
return False | |
try: | |
self.cjar.save(ScholarConf.COOKIE_JAR_FILE, | |
ignore_discard=True) | |
ScholarUtils.log('info', 'saved cookies file') | |
return True | |
except Exception as msg: | |
ScholarUtils.log('warn', 'could not save cookies file: %s' % msg) | |
return False | |
def _get_http_response(self, url, log_msg=None, err_msg=None): | |
""" | |
Helper method, sends HTTP request and returns response payload. | |
""" | |
if log_msg is None: | |
log_msg = 'HTTP response data follow' | |
if err_msg is None: | |
err_msg = 'request failed' | |
try: | |
ScholarUtils.log('info', 'requesting %s' % unquote(url)) | |
req = Request(url=url, headers={'User-Agent': ScholarConf.USER_AGENT}) | |
hdl = self.opener.open(req) | |
html = hdl.read() | |
ScholarUtils.log('debug', log_msg) | |
ScholarUtils.log('debug', '>>>>' + '-'*68) | |
ScholarUtils.log('debug', 'url: %s' % hdl.geturl()) | |
ScholarUtils.log('debug', 'result: %s' % hdl.getcode()) | |
ScholarUtils.log('debug', 'headers:\n' + str(hdl.info())) | |
ScholarUtils.log('debug', 'data:\n' + html.decode('utf-8')) # For Python 3 | |
ScholarUtils.log('debug', '<<<<' + '-'*68) | |
return html | |
except Exception as err: | |
ScholarUtils.log('info', err_msg + ': %s' % err) | |
return None | |
def txt(querier, with_globals): | |
if with_globals: | |
# If we have any articles, check their attribute labels to get | |
# the maximum length -- makes for nicer alignment. | |
max_label_len = 0 | |
if len(querier.articles) > 0: | |
items = sorted(list(querier.articles[0].attrs.values()), | |
key=lambda item: item[2]) | |
max_label_len = max([len(str(item[1])) for item in items]) | |
# Get items sorted in specified order: | |
items = sorted(list(querier.query.attrs.values()), key=lambda item: item[2]) | |
# Find largest label length: | |
max_label_len = max([len(str(item[1])) for item in items] + [max_label_len]) | |
fmt = '[G] %%%ds %%s' % max(0, max_label_len-4) | |
for item in items: | |
if item[0] is not None: | |
print(fmt % (item[1], item[0])) | |
if len(items) > 0: | |
articles = querier.articles | |
for art in articles: | |
print(encode(art.as_txt()) + '\n') | |
def csv(querier, header=False, sep='|'): | |
articles = querier.articles | |
for art in articles: | |
result = art.as_csv(header=header, sep=sep) | |
print(encode(result)) | |
header = False | |
def citation_export(querier): | |
articles = querier.articles | |
for art in articles: | |
print(art.as_citation() + '\n') | |
def main(): | |
usage = """scholar.py [options] <query string> | |
A command-line interface to Google Scholar. | |
Examples: | |
# Retrieve one article written by Einstein on quantum theory: | |
scholar.py -c 1 --author "albert einstein" --phrase "quantum theory" | |
# Retrieve a BibTeX entry for that quantum theory paper: | |
scholar.py -c 1 -C 17749203648027613321 --citation bt | |
# Retrieve five articles written by Einstein after 1970 where the title | |
# does not contain the words "quantum" and "theory": | |
scholar.py -c 5 -a "albert einstein" -t --none "quantum theory" --after 1970""" | |
fmt = optparse.IndentedHelpFormatter(max_help_position=50, width=100) | |
parser = optparse.OptionParser(usage=usage, formatter=fmt) | |
group = optparse.OptionGroup(parser, 'Query arguments', | |
'These options define search query arguments and parameters.') | |
group.add_option('-a', '--author', metavar='AUTHORS', default=None, | |
help='Author name(s)') | |
group.add_option('-A', '--all', metavar='WORDS', default=None, dest='allw', | |
help='Results must contain all of these words') | |
group.add_option('-s', '--some', metavar='WORDS', default=None, | |
help='Results must contain at least one of these words. Pass arguments in form -s "foo bar baz" for simple words, and -s "a phrase, another phrase" for phrases') | |
group.add_option('-n', '--none', metavar='WORDS', default=None, | |
help='Results must contain none of these words. See -s|--some re. formatting') | |
group.add_option('-p', '--phrase', metavar='PHRASE', default=None, | |
help='Results must contain exact phrase') | |
group.add_option('-t', '--title-only', action='store_true', default=False, | |
help='Search title only') | |
group.add_option('-P', '--pub', metavar='PUBLICATIONS', default=None, | |
help='Results must have appeared in this publication') | |
group.add_option('--after', metavar='YEAR', default=None, | |
help='Results must have appeared in or after given year') | |
group.add_option('--before', metavar='YEAR', default=None, | |
help='Results must have appeared in or before given year') | |
group.add_option('--no-patents', action='store_true', default=False, | |
help='Do not include patents in results') | |
group.add_option('--no-citations', action='store_true', default=False, | |
help='Do not include citations in results') | |
group.add_option('-C', '--cluster-id', metavar='CLUSTER_ID', default=None, | |
help='Do not search, just use articles in given cluster ID') | |
group.add_option('-c', '--count', type='int', default=None, | |
help='Maximum number of results') | |
parser.add_option_group(group) | |
group = optparse.OptionGroup(parser, 'Output format', | |
'These options control the appearance of the results.') | |
group.add_option('--txt', action='store_true', | |
help='Print article data in text format (default)') | |
group.add_option('--txt-globals', action='store_true', | |
help='Like --txt, but first print global results too') | |
group.add_option('--csv', action='store_true', | |
help='Print article data in CSV form (separator is "|")') | |
group.add_option('--csv-header', action='store_true', | |
help='Like --csv, but print header with column names') | |
group.add_option('--citation', metavar='FORMAT', default=None, | |
help='Print article details in standard citation format. Argument Must be one of "bt" (BibTeX), "en" (EndNote), "rm" (RefMan), or "rw" (RefWorks).') | |
parser.add_option_group(group) | |
group = optparse.OptionGroup(parser, 'Miscellaneous') | |
group.add_option('--cookie-file', metavar='FILE', default=None, | |
help='File to use for cookie storage. If given, will read any existing cookies if found at startup, and save resulting cookies in the end.') | |
group.add_option('-d', '--debug', action='count', default=0, | |
help='Enable verbose logging to stderr. Repeated options increase detail of debug output.') | |
group.add_option('-v', '--version', action='store_true', default=False, | |
help='Show version information') | |
parser.add_option_group(group) | |
options, _ = parser.parse_args() | |
# Show help if we have neither keyword search nor author name | |
if len(sys.argv) == 1: | |
parser.print_help() | |
return 1 | |
if options.debug > 0: | |
options.debug = min(options.debug, ScholarUtils.LOG_LEVELS['debug']) | |
ScholarConf.LOG_LEVEL = options.debug | |
ScholarUtils.log('info', 'using log level %d' % ScholarConf.LOG_LEVEL) | |
if options.version: | |
print('This is scholar.py %s.' % ScholarConf.VERSION) | |
return 0 | |
if options.cookie_file: | |
ScholarConf.COOKIE_JAR_FILE = options.cookie_file | |
# Sanity-check the options: if they include a cluster ID query, it | |
# makes no sense to have search arguments: | |
if options.cluster_id is not None: | |
if options.author or options.allw or options.some or options.none \ | |
or options.phrase or options.title_only or options.pub \ | |
or options.after or options.before: | |
print('Cluster ID queries do not allow additional search arguments.') | |
return 1 | |
querier = ScholarQuerier() | |
settings = ScholarSettings() | |
if options.citation == 'bt': | |
settings.set_citation_format(ScholarSettings.CITFORM_BIBTEX) | |
elif options.citation == 'en': | |
settings.set_citation_format(ScholarSettings.CITFORM_ENDNOTE) | |
elif options.citation == 'rm': | |
settings.set_citation_format(ScholarSettings.CITFORM_REFMAN) | |
elif options.citation == 'rw': | |
settings.set_citation_format(ScholarSettings.CITFORM_REFWORKS) | |
elif options.citation is not None: | |
print('Invalid citation link format, must be one of "bt", "en", "rm", or "rw".') | |
return 1 | |
querier.apply_settings(settings) | |
if options.cluster_id: | |
query = ClusterScholarQuery(cluster=options.cluster_id) | |
else: | |
query = SearchScholarQuery() | |
if options.author: | |
query.set_author(options.author) | |
if options.allw: | |
print('options.allw', options.allw) | |
query.set_words(options.allw) | |
if options.some: | |
query.set_words_some(options.some) | |
if options.none: | |
query.set_words_none(options.none) | |
if options.phrase: | |
query.set_phrase(options.phrase) | |
if options.title_only: | |
query.set_scope(True) | |
if options.pub: | |
query.set_pub(options.pub) | |
if options.after or options.before: | |
query.set_timeframe(options.after, options.before) | |
if options.no_patents: | |
query.set_include_patents(False) | |
if options.no_citations: | |
query.set_include_citations(False) | |
if options.count is not None: | |
options.count = min(options.count, ScholarConf.MAX_PAGE_RESULTS) | |
query.set_num_page_results(options.count) | |
querier.send_query(query) | |
#import IPython; IPython.embed() | |
if options.csv: | |
csv(querier) | |
elif options.csv_header: | |
csv(querier, header=True) | |
elif options.citation is not None: | |
citation_export(querier) | |
else: | |
txt(querier, with_globals=options.txt_globals) | |
if options.cookie_file: | |
querier.save_cookies() | |
return 0 | |
if __name__ == "__main__": | |
sys.exit(main()) |
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