def search():
a = request.args.get('a', 0, type=str)
user_id = request.args.get('uid', 0, type=str)
query = a
db = dbms.Database()
res = db.find_queryresults(query)
non_relevant = db.find_nonrelevant(query)
update = False
#print "NR: "
#print non_relevant
if res == None:
res2 = Read_Data.work(query)
temp = copy.deepcopy(res2) #Important - Deep copy of returned results list
else:
#print "Reading from DB..."
if len(res) < 10:
res = Read_Data.work(query)
update = True
print "Results < 10"
temp = copy.deepcopy(res)
non_relevant_flag = False
temp2 = copy.deepcopy(temp)
for course in temp2:
if course[1] in non_relevant:
print "Removing non-relevant course ", course[1]
temp.remove(course)
non_relevant_flag = True
if non_relevant_flag or update:
#print "Updating DB..."
db.update_queryresults(query, temp)
else:
db.insert_queryresults(query, temp)
if len(temp) > 10:
temp = temp[0:10]
user_info = conn_data(db, user_id, temp)
print "User Info list: ", user_info
#print "User not interested list: ", db.find_notinterested(user_id)
for i in range(len(user_info)):
print user_info[i]
temp[i].append(user_info[i]["basic"])
temp[i].append(user_info[i]["adv"])
temp[i].append(user_info[i]["likes"])
ret = isbn.getisbnData(query)
return jsonify(result = temp, result2 = ret)
def search():
a = request.args.get('a', 0, type=str)
res = Read_Data.work(a)
return jsonify(result = res)