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simple_elastic_client_01.py
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simple_elastic_client_01.py
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import pandas as pd
import numpy as np
import pprint
from elasticsearch import Elasticsearch, helpers, exceptions
class ElasticClient:
def __init__(self, address='localhost:10000'):
self.es = Elasticsearch(address)
self._users_index_params = {
"name": "users",
"doc_type": "user"
}
self._movies_index_params = {
"name": "movies",
"doc_type": "movie"
}
def index_documents(self):
df = pd.read_csv('/home/lukasz/user_ratedmovies.dat', delimiter='\t', nrows=1000) \
.loc[:, ['userID', 'movieID', 'rating']]
means = df.groupby(['userID'], as_index=False, sort=False) \
.mean() \
.loc[:, ['userID', 'rating']] \
.rename(columns={'rating': 'ratingMean'})
df = pd.merge(df, means, on="userID", how="left", sort=False)
df['ratingNormal'] = df['rating'] - df['ratingMean']
ratings = df.loc[:, ['userID', 'movieID', 'ratingNormal']] \
.rename(columns={'ratingNormal': 'rating'}) \
.pivot_table(index='userID', columns='movieID', values='rating') \
.fillna(0)
print("Indexing users")
index_users = [{
"_index": self._users_index_params["name"],
"_type": self._users_index_params["doc_type"],
"_id": index,
"_source": {
'ratings': row[row > 0].sort_values(ascending=False).index.values.tolist()
}
} for index, row in ratings.iterrows()]
helpers.bulk(self.es, index_users)
print("Done")
print("Indexing movies")
index_movies = [{
"_index": self._movies_index_params["name"],
"_type": self._movies_index_params["doc_type"],
"_id": column,
"_source": {
"whoRated": ratings[column][ratings[column] > 0].sort_values(ascending=False).index.values.tolist()
}
} for column in ratings]
helpers.bulk(self.es, index_movies)
print("Done")
def get_movies_liked_by_user(self, user_id):
return self.es.get(index=self._users_index_params["name"],
doc_type=self._users_index_params["doc_type"],
id=int(user_id))["_source"]
def get_users_that_like_movie(self, movie_id):
return self.es.get(index=self._movies_index_params["name"],
doc_type=self._movies_index_params["doc_type"],
id=int(movie_id))["_source"]
def collaborative_filtering_users(self, user_id):
# Filmy, ktore polubil uzytkownik o danym ID
movies_liked_by_user = self.get_movies_liked_by_user(user_id)['ratings']
# Slownik przechowujacy filmy z informacja kto je polubil
movies_and_users_who_liked_them_dict = dict.fromkeys(movies_liked_by_user)
# Kontener na propozycje filmowe
suggested_movies = []
# Dla kazdego filmu w slowniku...
for movie_id in movies_and_users_who_liked_them_dict:
# Przypisz uzytkownikow ktorzy polubili dany film i...
movies_and_users_who_liked_them_dict[movie_id] = self.get_users_that_like_movie(movie_id)['whoRated']
# Dla kazdego uzytkownika, ktory polubyil dany film...
for user_who_liked_movie in movies_and_users_who_liked_them_dict[movie_id]:
# Jesli to nie jest uzytkownik, dla ktorego robimy filtracje to...
if user_who_liked_movie != user_id:
# Z filmow, ktore polubil drugi uzytkownik, wybierz wszystkie te, ktorych nie polubil ten pierwszy
distinction_of_two_users = set(
self.get_movies_liked_by_user(user_who_liked_movie)['ratings']) - set(
self.get_movies_liked_by_user(user_id)['ratings'])
# Dla kazdego takiego znalezionego filmu...
for movie in distinction_of_two_users:
# Jesli film nie jest juz wpisany na liste polecanych...
if movie not in suggested_movies:
# Dopisz film do listy polecanych
suggested_movies.append(movie)
return sorted(suggested_movies)
@staticmethod
def as_list(x):
if type(x) is list:
return x
else:
return [x]
def get_user_document(self, user_id):
try:
res = self.es.get(index=self._users_index_params["name"],
doc_type=self._users_index_params["doc_type"],
id=int(user_id))
return res
except exceptions.NotFoundError as error:
return error.info
def get_user_ratings(self, user_id):
res = self.get_user_document(user_id)
print(res)
if res['found'] is True:
movies = res["_source"]["ratings"]
return sorted(movies)
else:
return []
def get_movie_document(self, movie_id):
try:
res = self.es.get(index=self._movies_index_params["name"],
doc_type=self._movies_index_params["doc_type"],
id=int(movie_id))
return res
except exceptions.NotFoundError as error:
return error.info
def get_movie_raters(self, movie_id):
res = self.get_movie_document(movie_id)
print(res)
if res['found'] is True:
users = res["_source"]["whoRated"]
return sorted(users)
else:
return []
def add_user_document(self, user_id, movies_rated_by_user):
"""
Method that adds a new user document. If movies_rated_by_user parameter is a single integer, it will
transform that value into a single-element list. The method decides whether to add a new movie document
(if a certain movie_id is missing from movies index), or to update existing movie document.
:param user_id: integer representing a new user's ID we want to put into users index
:param movies_rated_by_user: integer/list of movie IDs (already existing or missing from movies index)
:return: elasticSearch query
"""
body = {
"ratings": self.as_list(movies_rated_by_user)
}
for movie in self.as_list(movies_rated_by_user):
query = self.get_movie_document(movie)
if query['found'] is False:
new_movie_body = {
"whoRated": self.as_list(user_id)
}
self.es.index(index=self._movies_index_params["name"],
doc_type=self._movies_index_params["doc_type"],
id=movie,
body=new_movie_body)
else:
updated_movie_doc = self.get_movie_document(movie)
updated_movie_body = {
"doc": {
"whoRated": list(set(updated_movie_doc["_source"]["whoRated"] + self.as_list(user_id)))
}
}
self.es.update(index=self._movies_index_params["name"],
doc_type=self._movies_index_params["doc_type"],
id=movie,
body=updated_movie_body)
return self.es.index(index=self._users_index_params["name"],
doc_type=self._users_index_params["doc_type"],
id=user_id,
body=body)
def add_movie_document(self, movie_id, list_of_users):
"""
Method that adds a new movie document. If list_of_users parameter is a single integer, it will
transform that value into a single-element list. The method decides whether to add a new user document
(if a certain user_id is missing from users index), or to update existing users document.
:param movie_id: integer representing a new movie's ID we want to put into movies index
:param list_of_users: integer/list of user IDs (already existing or missing from users index)
:return: elasticSearch query
"""
body = {
"whoRated": self.as_list(list_of_users)
}
for user in self.as_list(list_of_users):
query = self.get_user_document(user)
if query['found'] is False:
new_user_body = {
"ratings": self.as_list(movie_id)
}
self.es.index(index=self._users_index_params["name"],
doc_type=self._users_index_params["doc_type"],
id=user,
body=new_user_body)
else:
updated_user_doc = self.get_user_document(user)
updated_user_body = {
"doc": {
"ratings": list(set(updated_user_doc["_source"]["ratings"] + self.as_list(movie_id)))
}
}
self.es.update(index=self._users_index_params["name"],
doc_type=self._users_index_params["doc_type"],
id=user,
body=updated_user_body)
return self.es.index(index=self._movies_index_params["name"],
doc_type=self._movies_index_params["doc_type"],
id=int(movie_id), body=body)
def update_user_document(self, user_id, movies_seen, index="users"):
res = self.get_user_document(user_id)
print(res)
if res['found'] is True:
body = {
"doc": {
"ratings": list(set(res["_source"]["ratings"] + self.as_list(movies_seen)))
}
}
for movie in self.as_list(movies_seen):
query = self.get_movie_document(movie)
if query['found'] is False:
new_movie_body = {
"whoRated": self.as_list(user_id)
}
self.es.index(index=self._movies_index_params["name"],
doc_type=self._movies_index_params["doc_type"],
id=movie,
body=new_movie_body)
else:
updated_movie_doc = self.get_movie_document(movie)
updated_movie_body = {
"doc": {
"whoRated": list(set(updated_movie_doc["_source"]["whoRated"] + self.as_list(user_id)))
}
}
self.es.update(index=self._movies_index_params["name"],
doc_type=self._movies_index_params["doc_type"],
id=movie,
body=updated_movie_body)
return self.es.update(index=self._users_index_params["name"],
doc_type=self._users_index_params["doc_type"],
id=user_id,
body=body)
else:
print("No user {} in index: {}".format(user_id, self._users_index_params["name"]))
return []
def update_movie_document(self, movie_id, list_of_users, index="movies"):
res = self.get_movie_document(movie_id)
print(res)
if res['found'] is True:
body = {
"doc": {
"whoRated": list(set(res["_source"]["whoRated"] + self.as_list(list_of_users)))
}
}
for user in self.as_list(list_of_users):
query = self.get_user_document(user)
if query['found'] is False:
new_user_body = {
"ratings": self.as_list(movie_id)
}
self.es.index(index=self._users_index_params["name"],
doc_type=self._users_index_params["doc_type"],
id=user,
body=new_user_body)
else:
updated_user_doc = self.get_user_document(user)
updated_user_body = {
"doc": {
"ratings": list(set(updated_user_doc["_source"]["ratings"] + self.as_list(movie_id)))
}
}
self.es.update(index=self._users_index_params["name"],
doc_type=self._users_index_params["doc_type"],
id=user,
body=updated_user_body)
return self.es.update(index=self._movies_index_params["name"],
doc_type=self._movies_index_params["doc_type"],
id=movie_id,
body=body)
else:
print("No movie {} in index {}".format(movie_id, self._movies_index_params["doc_type"]))
return []
def delete_user_document(self, user_id):
return self.es.delete(index=self._users_index_params["name"],
doc_type=self._users_index_params["doc_type"],
id=user_id)
def delete_movie_document(self, movie_id):
return self.es.delete(index=self._movies_index_params["name"],
doc_type=self._movies_index_params["doc_type"],
id=movie_id)
if __name__ == "__main__":
ec = ElasticClient()
ec.index_documents()
u1_id = 75
print(sorted(ec.get_movies_liked_by_user(75)['ratings']))
print(ec.get_users_that_like_movie(296))
print(sorted(ec.get_movies_liked_by_user(78)['ratings']))
print(ec.collaborative_filtering_users(75))
# list(set(ec.get_movies_liked_by_user(75)['ratings']).intersection(ec.get_movies_liked_by_user(78)['ratings']))
# sorted(set(ec.get_movies_liked_by_user(78)['ratings'])-set(ec.get_movies_liked_by_user(75)['ratings']))
# print()
# user_document = ec.get_movies_liked_by_user(75)
# movie_id = np.random.choice(user_document['ratings'])
# movie_document = ec.get_users_that_like_movie(movie_id)
# random_user_id = np.random.choice(movie_document['whoRated'])
# random_user_document = ec.get_movies_liked_by_user(random_user_id)
#
# print('User 75 liked following movies:')
# print(user_document)
#
# print('Movie {} is liked by following users:'.format(movie_id))
# print(movie_document)
#
# print('Is user 75 among users in movie {} document?'.format(movie_id))
# print(movie_document['whoRated'].index(75)!=-1)
#
# import random
#
# some_test_movie_ID=1
# print("Some test movie ID", some_test_movie_ID)
# list_of_users_who_liked_movie_of_given_ID = \
# ec.get_users_that_like_movie(some_test_movie_ID)['whoRated']
#
# print('List of users who liked test movie:', *list_of_users_who_liked_movie_of_given_ID)
# index_of_random_user = random.randint(0, len(list_of_users_who_liked_movie_of_given_ID))
#
# print("Index of random user who liked movie: ", index_of_random_user)
# some_test_user_ID = list_of_users_who_liked_movie_of_given_ID[index_of_random_user]
#
# movies_liked_by_user_of_test_ID = ec.get_movies_liked_by_user(some_test_user_ID)["ratings"]
#
# print("IDs of movies liked by random user who liked the test movie: ", *movies_liked_by_user_of_test_ID)