Exemple #1
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def sub():
    redis = RedisUtils().get_connection()
    p = redis.pubsub()
    p.subscribe("mychannel1", "mychannel2")
    for message in p.listen():
        print message
    RedisUtils().release_connection(redis)
Exemple #2
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 def sub1(self):
     redis = RedisUtils().get_connection()
     p = redis.pubsub()
     p.subscribe("mychannel1", "mychannel2")
     for message in p.listen():
         print("Get message %s " % message['data'])
     RedisUtils().release_connection(redis)
Exemple #3
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def test_pipeline():
    redis = RedisUtils().get_connection()
    pipe = redis.pipeline()
    assert pipe.set("mykey1", "myvalue1")
    assert pipe.set("mykey2", "myvalue2")
    pipe.execute()
    assert redis.get("mykey1") == "myvalue1"
    assert redis.get("mykey2") == "myvalue2"
    RedisUtils().release_connection(redis)
Exemple #4
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    def run(self):
        redis = RedisUtils().get_connection()
        for i in range(1, 100):
            print("publish mychannel1 %s " % "mychannel1_" + str(i))
            redis.publish("mychannel1", "mychannel1_" + str(i))

            print("publish mychannel2 %s " % "mychannel2_" + str(i))
            redis.publish("mychannel2", "mychannel2_" + str(i))

            time.sleep(2)
        RedisUtils().release_connection(redis)
    def __init__(self, sc, dataset_path):
        """Init the recommendation engine given a Spark context and a dataset path
        """

        logger.info("Starting up the Recommendation Engine: ")

        self.sc = sc

        # Load ratings data for later use
        logger.info("Loading Ratings data...")
        ratings_file_path = os.path.join(dataset_path, 'ratings.csv')
        ratings_raw_RDD = self.sc.textFile(ratings_file_path)
        ratings_raw_data_header = ratings_raw_RDD.take(1)[0]
        self.ratings_RDD = ratings_raw_RDD.filter(lambda line: line!=ratings_raw_data_header)\
            .map(lambda line: line.split(",")).map(lambda tokens: (int(tokens[0]),int(tokens[1]),float(tokens[2]))).cache()
        # Load movies data for later use
        logger.info("Loading Movies data...")
        movies_file_path = os.path.join(dataset_path, 'movies.csv')
        movies_raw_RDD = self.sc.textFile(movies_file_path)
        movies_raw_data_header = movies_raw_RDD.take(1)[0]
        self.movies_RDD = movies_raw_RDD.filter(lambda line: line!=movies_raw_data_header)\
            .map(lambda line: line.split(",")).map(lambda tokens: (int(tokens[0]),tokens[1],tokens[2])).cache()
        self.movies_titles_RDD = self.movies_RDD.map(
            lambda x: (int(x[0]), x[1])).cache()
        # Pre-calculate movies ratings counts
        self.__count_and_average_ratings()

        self.redis_utils = RedisUtils("localhost", 6379)

        # Train the model
        self.rank = 8
        self.seed = 5
        self.iterations = 10
        self.regularization_parameter = 0.1
        self.__train_model()
Exemple #6
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    def sub2(self):
        redis = RedisUtils().get_connection()
        p = redis.pubsub()

        def my_handler(message):
            print("Get message %s " % message['data'])

        p.subscribe(**{'mychannel1': my_handler})
        p.subscribe(**{'mychannel2': my_handler})

        while True:
            message = p.get_message()
            if message:
                time.sleep(0.001)

        RedisUtils().release_connection(redis)
Exemple #7
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def test_transaction1():
    redis = RedisUtils().get_connection()
    pipe = redis.pipeline()
    try:
        pipe.watch("mykey1", "mykey2")
        pipe.multi()
        assert pipe.set("mykey1", "myvalue1")
        assert pipe.set("mykey2", "myvalue2")
        time.sleep(10)
        pipe.execute()
        print redis.get("mykey1")
        print redis.get("mykey2")
    except WatchError as e:
        print e
    finally:
        pipe.reset()
        RedisUtils().release_connection(redis)
Exemple #8
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def test_getset():
    redis = RedisUtils().get_connection()
    assert redis.set("mykey", "myvalue")
    assert redis.get("mykey") == "myvalue"
    assert redis.get("nokey") is None
    RedisUtils().release_connection(redis)
Exemple #9
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Created on 2018/09/20
@filename: main.py
@author: yanghang
Description:
"""
import sys
import os
package_path = os.getcwd()+os.sep+"utils"
sys.path.append(package_path)

from redis_utils import RedisUtils
from config_utils import ConfigUtils

if __name__ == '__main__':
    config = ConfigUtils('conf/config.ini')
    REDIS_HOST = config.get_value('redis', 'host')
    REDIS_PORT = config.get_value('redis', 'port')
    MYSQL_HOST = config.get_value('mysql', 'host')
    MYSQL_PORT = config.get_value('mysql', 'port')
    MYSQL_USERNAME = config.get_value('mysql', 'username')
    MYSQL_PASSWORD = config.get_value('mysql', 'password')
    MYSQL_DATABASE = config.get_value('mysql', 'database')
    redis = RedisUtils(REDIS_HOST,REDIS_PORT)
    redis.set_str('hello','11111')
    print(redis.get_str('hello'))
Exemple #10
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class RedisConfigurationReader(ConfigurationReader):
    def __init__(self, config_file):
        super().__init__(config_file)

    def get_redis_settings(self):
        try:
            return self.configuration["redis_cache_settings"]
        except KeyError:
            raise Exception(
                'The  redis configurations are not configured, please configure in yml file'
            )


r = RedisUtils()
config = RedisConfigurationReader('./conf/redis_settings.yml')
config.read_config_file()
r.strict_connect(**config.get_redis_settings())
print(r.__dict__)

app = Flask(__name__)

example_blueprint = Blueprint("example_blueprint", __name__)

app.config['SWAGGER'] = {
    "swagger_version":
    "2.0",
    "title":
    "Flasgger",
    "headers": [
Exemple #11
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def pub():
    redis = RedisUtils().get_connection()
    redis.publish("mychannel1", "mychannel1_" + str(datetime.now()))
    redis.publish("mychannel2", "mychannel2_" + str(datetime.now()))
    RedisUtils().release_connection(redis)