def integrate_test_pubs(self, pub_candidates):
"""
For Debug Errors
"""
print "- INTEGRATE TEST -:", self.integrate_test_pubs.__doc__.strip()
extractor = Extractor.getInstance()
matcher = PubMatcher.getInstance()
# print queries
query, used_pubs = Extractor.pinMaxQuery(pub_candidates)
print "Test %s pub, query: \n\t%s" % (len(used_pubs), query)
url = self.settings.urltemplate_by_pubs % URLCleaner.encodeUrlForDownload(query)
# url = URLCleaner.encodeUrlForDownload(url)
print "\t", url
# do
all_models = extractor.getNodesByPubs(used_pubs)
(pubs_found, pubs_notfound) = matcher.matchPub(used_pubs, all_models, debug_output=True)
# print out
print "-" * 100
for pub in pubs_found:
print "[%s] %s" % (pub.ncitation, pub)
print "-" * 100
for pub in pubs_notfound:
print "[%s] %s" % ("-", pub)
print "-" * 100
print "- test done -"
def integrate_test_pubs(self, pub_candidates):
'''
For Debug Errors
'''
print '- INTEGRATE TEST -:', self.integrate_test_pubs.__doc__.strip()
extractor = Extractor.getInstance()
matcher = PubMatcher.getInstance()
# print queries
query, used_pubs = Extractor.pinMaxQuery(pub_candidates)
print 'Test %s pub, query: \n\t%s' % (len(used_pubs), query)
url = self.settings.urltemplate_by_pubs % URLCleaner.encodeUrlForDownload(
query)
# url = URLCleaner.encodeUrlForDownload(url)
print "\t", url
# do
all_models = extractor.getNodesByPubs(used_pubs)
(pubs_found, pubs_notfound) = matcher.matchPub(used_pubs,
all_models,
debug_output=True)
# print out
print '-' * 100
for pub in pubs_found:
print '[%s] %s' % (pub.ncitation, pub)
print '-' * 100
for pub in pubs_notfound:
print '[%s] %s' % ('-', pub)
print '-' * 100
print '- test done -'
def getNodesByPubs(self, pubs):
'''Get by pubs.
Return:
all_models, {key_title:[ExtractedModel,...]}, can be None, or []
Param:
pubs, [models.Publication], query generated by this pubs must less than 256.
'''
query, used_pubs, nouse_pubs = Extractor.pinMaxQuery(pubs)
url = self.settings.urltemplate_by_pubs % URLCleaner.encodeUrlForDownload(
query)
message = "Search Pub[%s] by url[%s]\n" % (used_pubs[0], url)
# url = URLCleaner.encodeUrlForDownload(url)
html = self.htmlRetriever.getHtmlRetry(url)
if html is None:
print "Download Page failed."
return None
models = self.extract_from_source(html)
if models is None or len(models) == 0:
return None
# save models
all_models = self.__merge_into_extractedmap(
None, models) # {key_title:[ExtractedModel,...]}
# for k, v in all_models.items():
# message += "models find: [%s]\n" % v
# print message
return all_models
def getNodesByPubs(self, pubs):
'''Get by pubs.
Return:
all_models, {key_title:[ExtractedModel,...]}, can be None, or []
Param:
pubs, [models.Publication], query generated by this pubs must less than 256.
'''
query, used_pubs, nouse_pubs = Extractor.pinMaxQuery(pubs)
url = self.settings.urltemplate_by_pubs % URLCleaner.encodeUrlForDownload(query)
message = "Search Pub[%s] by url[%s]\n" % (used_pubs[0], url)
# url = URLCleaner.encodeUrlForDownload(url)
html = self.htmlRetriever.getHtmlRetry(url)
if html is None:
print "Download Page failed."
return None
models = self.extract_from_source(html)
if models is None or len(models) == 0:
return None
# save models
all_models = self.__merge_into_extractedmap(None, models) # {key_title:[ExtractedModel,...]}
# for k, v in all_models.items():
# message += "models find: [%s]\n" % v
# print message
return all_models
def test_retrieve_html(self):
print 'Test1: test_retrieve_html()'
url = '''allintitle:"Augmenting Branching Temporal Logics with Existential Quantification over Atomic Propositions" OR "Branching-Depth Hierarchies" OR "On the Relative Succinctness of Nondeterministic Buchi and co-Buchi Word Automata"'''
url2 = "http://scholar.google.com/scholar?hl=en&num=100&q=%s" % url
url2 = URLCleaner.encodeUrlForDownload(url2)
url2 = '''http://scholar.google.com/scholar?hl=en&num=100&as_subj=eng&q=%22Finding%20the%20Number%20of%20Factors%20of%20a%20Polynomial%22OR%22Probabilistic%20Models%20of%20Database%20Locking:%20Solutions,%20Computational%20Algorithms,%20and%20Asymptotics%22OR%22The%20AWK%20Programming%20Language%22OR%22Factoring%20Polynomials%20Over%20Algebraic%20Number%20Fields%22'''
getter = HtmlRetriever(use_proxy=False)
print getter.getHtmlRetry(url2, 1)
def test_retrieve_html(self): print 'Test1: test_retrieve_html()' url = '''allintitle:"Augmenting Branching Temporal Logics with Existential Quantification over Atomic Propositions" OR "Branching-Depth Hierarchies" OR "On the Relative Succinctness of Nondeterministic Buchi and co-Buchi Word Automata"''' url2 = "http://scholar.google.com/scholar?hl=en&num=100&q=%s" % url url2 = URLCleaner.encodeUrlForDownload(url2) url2 = '''http://scholar.google.com/scholar?hl=en&num=100&as_subj=eng&q=%22Finding%20the%20Number%20of%20Factors%20of%20a%20Polynomial%22OR%22Probabilistic%20Models%20of%20Database%20Locking:%20Solutions,%20Computational%20Algorithms,%20and%20Asymptotics%22OR%22The%20AWK%20Programming%20Language%22OR%22Factoring%20Polynomials%20Over%20Algebraic%20Number%20Fields%22''' getter = HtmlRetriever(use_proxy=False) print getter.getHtmlRetry(url2, 1)
def test_retrieve_html2(self):
url = '''allintitle:"Augmenting Branching Temporal Logics with Existential Quantification over Atomic Propositions" OR "Branching-Depth Hierarchies" OR "On the Relative Succinctness of Nondeterministic Buchi and co-Buchi Word Automata"'''
url2 = "http://scholar.google.com/scholar?hl=en&num=100&q=%s" % url
url2 = URLCleaner.encodeUrlForDownload(url2)
getter = HtmlRetriever(use_proxy=True)
print getter.getHtmlRetry(url2, 1)
def test_retrieve_html2(self): url = '''allintitle:"Augmenting Branching Temporal Logics with Existential Quantification over Atomic Propositions" OR "Branching-Depth Hierarchies" OR "On the Relative Succinctness of Nondeterministic Buchi and co-Buchi Word Automata"''' url2 = "http://scholar.google.com/scholar?hl=en&num=100&q=%s" % url url2 = URLCleaner.encodeUrlForDownload(url2) getter = HtmlRetriever(use_proxy=True) print getter.getHtmlRetry(url2, 1)
