/
evaluateCandidate2.py
140 lines (109 loc) · 3.91 KB
/
evaluateCandidate2.py
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import pymongo
import mysql.connector
from mysql.connector import errors
import sys
import json
from scipy import spatial
def loginMySql():
fileKeys = open('adressMySQL.json').read()
keys = json.loads(fileKeys)
try:
client = mysql.connector.connect(user=keys["user"], password=keys["password"], host=keys["host"], database = keys["database"])
cursor = client.cursor()
except mysql.connector.errors.ProgrammingError:
print("crea il db")
return client, cursor
def loginMongo():
fileKeys = open('adressMongo.json').read()
keys = json.loads(fileKeys)
client = pymongo.MongoClient(keys['adress_local'],int(keys['port_local']))
return client[keys['name_db']]
def storeScore(cursor, id_experiment, screen_name, score):
print(screen_name, id_experiment, score)
command = ("UPDATE candidates SET score="+str(score)+" WHERE id_experiment="+id_experiment+" AND screen_name='"+screen_name+"'")
cursor.execute(command)
#type
def getCentroidType(db, id_experiment):
centroid = db['centroid'].find_one({'id_experiment':id_experiment, 'type':'type'},{'centroid':1, '_id':0})['centroid']
return centroid
def getCentroidInstance(db, id_experiment):
centroid = db['centroid'].find_one({'id_experiment':id_experiment, 'type':'instance'},{'centroid':1, '_id':0})['centroid']
return centroid
def getCandidates(db, id_experiment):
result = db['users'].find({'id_experiment':id_experiment, 'type':'candidates'},{'instances':1,'features':1, 'screen_name':1})
candidates =[]
for cand in result:
candidates.append(cand)
return candidates
def evaluateCandidate(centroid, user_features):
vect_centroid = []
vect_user = []
if len(user_features) == 0:
return 0
for i in centroid:
vect_centroid.append(centroid[i])
if i in user_features:
vect_user.append(user_features[i])
user_features.pop(i)
else:
vect_user.append(0)
# for f in user_features:
# vect_centroid.append(0)
# vect_user.append(user_features[f])
score = 1 - spatial.distance.cosine(vect_centroid, vect_user)
return score
def getCentroid(centroidType, centroidInstance):
alpha = 0.7
totalCentroid = {}
for i in centroidType:
k = centroidType[i]
totalCentroid[i] =k*(1-alpha)
for i in centroidInstance:
k = centroidInstance[i]
totalCentroid[i] =k*(alpha)
return totalCentroid
def getCandidateVector(types, instances):
alpha = 0.7
vector = {}
for i in types:
k = types[i]
vector[i] = k*(1-alpha)
for i in instances:
k = instances[i]
vector[i] = k*(alpha)
return vector
def main():
# do the mongo login
try:
dbMongo = loginMongo()
except:
print('error login Mongo')
try:
dbSQL, cursor = loginMySql()
except:
print('error login MySQL')
id_experiment = sys.argv[1:][0]
centroidType = getCentroidType(dbMongo, id_experiment)
centroidInstance = getCentroidInstance(dbMongo, id_experiment)
centroid = getCentroid(centroidType, centroidInstance)
list_candidates = getCandidates(dbMongo, id_experiment)
# list_candidatesInstance = getCandidatesInstance(dbMongo, id_experiment)
# for i in centroidType:
# count+=centroidType[i]
for candidate in list_candidates:
user = candidate['screen_name']
if 'feature' not in candidate or 'instances' not in candidate:
print(user)
types = candidate['features']
instances = candidate['instances']
print(user, types)
print(user, instances)
candidate_vector = getCandidateVector(types, instances)
score = evaluateCandidate(centroid, candidate_vector)
storeScore(cursor, id_experiment, user, score)
# print(count)
dbSQL.commit()
cursor.close()
dbSQL.close()
if __name__ == "__main__":
main()