def search_spammer():
# here to detect if the new review is a spam
#return request.form["title"]
min_score = 1
dup_no = dup.dup(min_score, request.args.get["text"])
# userid = "ALYU98KL3VUGF"/A1GLC0S9H532IU
min_post = 1
early_constraint = 3600*24*180 # (sec*min)*hours*days*months
detection_dict = dev.spammer_detect(request.args.get["userid"], min_post, early_constraint)
#return str(devnrep_dict["time_diff"])
detection_dict["dup_no"] = dup_no
detection_dict["metric"] = dev.metrics(detection_dict)
#print detection_dict
return render_template("result.html", result = detection_dict)
def reducer(self, key, values):
result = dev.spammer_detect(key, 3, 3600*24*180)
result["_id"] = key
users.insert(result)
yield key, result
