def populate():
jill = add_user("jill")
bob = add_user("bob")
jen = add_user("jen")
# TODO: add a few more reviews
adhd = add_review(users=[jill, bob],
title="Investigating the effects of acupuncture on children with ADHD",
description="The purpose of this review is to identify any potential positive or negative "
"effects when applying the practice of acupuncture to young children suffering from "
"attention deficit hyperactivity disorder, which is more commonly referred to by its abbreviation, ADHD.",
date_created=generate_random_date(),
last_modified=generate_random_date(recent=True),
query="""(adhd OR adhs OR addh) AND (child OR adolescent) AND acupuncture""")
lung_cancer = add_review(users=[jen],
title="Development of lung cancer from inhalation of soldering fumes",
description="This review will retrieve all papers discussing links between soldering fume "
"inhalation and lung cancer.",
date_created=generate_random_date(),
last_modified=generate_random_date(recent=True),
query="(solder OR soldering) AND (lung AND cancer)")
rsi = add_review(users=[jen, bob],
title="RSI in musicians such as drummers and guitarists",
description="This review explores any connection between the development of repetitive strain "
"injury, which is more commonly known as RSI, in musicians, or more specifically, "
"people who play drums or play guitar. This issue is more frequently discussed in "
"the world of computer use and office life, but rarely in the performance of music.",
date_created=generate_random_date(),
last_modified=generate_random_date(recent=True),
query="(RSI OR repetitive OR strain OR injury) AND (drums OR drumming OR drummer OR guitar OR guitarist)")
stress = add_review(users=[jill],
title="Stress experienced by students during examinations",
description="This review will retrieve all medical papers which discuss the issues regarding "
"stress, anxiety, and a general lack of wellbeing of students while their "
"educational establishment undergo examinations.",
date_created=generate_random_date(),
last_modified=generate_random_date(recent=True),
query="stress AND anxiety AND student AND (exam OR examination OR test) AND (university OR college)")
reviews = [
adhd,
lung_cancer,
rsi,
stress,
]
import time
for review in reviews:
start = time.time()
Paper.create_papers_from_pubmed_ids(PubMed.get_ids_from_query(review.query), review)
end = time.time()
duration = (end - start)
print "Populating %s took %f seconds" % (review.title, duration)
def add_paper_by_id(review, id):
Paper.create_papers_from_pubmed_ids([id], review)
def test_create_papers_from_ids(self):
review = Review.objects.get_or_create(title="Investigating the effects of acupuncture on children with ADHD")[0]
result = Paper.create_papers_from_pubmed_ids(self.test_ids, review)[0]
self.assertEquals("[A Meta-analysis on Acupuncture Treatment of Attention Deficit/Hyperactivity Disorder].",
result.title)
def newSearch(request):
if request.method == 'POST':
query = request.POST.get('query')
if query:
# check to see if this query exists
if len(Query.objects.filter(queryString__iexact=query)) != 0:
prev_query = Query.objects.get(queryString=query)
#return HttpResponse('query already saved (redirect to results for that query)')
return HttpResponse('{"queryID":'+str(prev_query.queryID)+'}')
result_list = run_query(query)
obtained_ids = result_list.keys()
new_query = Query(queryString=query, result=obtained_ids, poolSize=20, researcher=request.user.researcher)
new_query.save()
n = 0
for key, item in result_list.iteritems():
if item['Date_completed'] == 'incomplete':
new_paper = Paper(paperID=key,
paperUrl=item['Link'],
authors=item['Authors'],
title=item['Article_title'],
abstract=item['Abstract'],
queryID=new_query,
abstractApproved=False,
documentApproved=False
)
elif item['Date_completed'] == '':
new_paper = Paper(paperID=key,
paperUrl=item['Link'],
authors=item['Authors'],
title=item['Article_title'],
abstract=item['Abstract'],
queryID=new_query,
abstractApproved=False,
documentApproved=False
)
else:
new_paper = Paper(paperID=key,
paperUrl=item['Link'],
authors=item['Authors'],
title=item['Article_title'],
publishDate=item['Date_completed'],
abstract=item['Abstract'],
queryID=new_query,
abstractApproved=False,
documentApproved=False
)
new_paper.save()
n += 1
#return HttpResponse('query saved')
return HttpResponse('{"queryID":'+str(new_query.queryID)+'}')
context_dict = {"page_title": "Searches"}
query_list = SavedQuery.objects.filter(researcher=request.user.researcher).reverse()
saved_list = []
for q in query_list:
sl = { 'query' : q.queryID }
sl['size'] = len(Paper.objects.filter(queryID=q.queryID, documentApproved=True))
saved_list.append(sl)
context_dict['saved_list'] = saved_list
return render(request, "newSearch.html", context_dict)
