def get(self):
# check memcache for main
myfilter = self.request.get("filter", "") # returns name of disease to filter on
if myfilter != "" and myfilter is not None:
studies = Study.search_todict('"'+myfilter+'"')
return self.out(rendered = self.render("studylistrender.html", studies = studies, filter=myfilter))
page = self.request.get("page", "")
pagenr = None
if page == "":
pagenr = 1
else:
try:
pagenr = int(page)
except:
pagenr = 1
# get pagenumber from diseasequery
studies = self.studyquery.fetch_page(pagenr)
# rendered = memcache.get("studylist_0:50")
# if rendered is None:
# make large query, to check for speed when cached
# studies = Study.all().fetch(100)
rendered = self.render("studylistrender.html",studies=studies, myfilter=myfilter, page=pagenr, count=self.count)
# logging.debug(rendered )
# add to memchache
# if not memcache.add('studylist_0:50', rendered):
# logging.error("Memcache set failed.")
self.out(rendered=rendered)
def testSearchDocuments(self):
"""Test search document logic
- try to add a study and fetch it using full-text search
"""
disease_name = "Pizza"
disease = Disease.get_or_insert(disease_name, name=disease_name)
obj = {"pubmed_id": "123", "name": "How is the pizza?", "disease_ref": disease, "disease_trait": "Pizza"}
study = Study.get_or_insert(
obj["pubmed_id"],
name=obj["name"],
disease_ref=obj["disease_ref"],
disease_trait=obj["disease_trait"],
pubmed_id=obj["pubmed_id"],
date=date.today(),
)
study.put()
AddStudyDocument(study)
result = Study.search_todict("123")
self.assertEqual(obj["name"], result[0]["name"]) # result[0], obj)
self.tSearchPage()
self.tSearchStudy()
self.tSearchDisease()
