Merge branch 'zhao' into 'master'

新增把esmm排序结果重排

See merge request !32

ctr-56.py

 # -*- coding: UTF-8 -*-
-import pymysql
+import redis
 import datetime
-import pandas as pd
+import json
 
 
-def get_yesterday_date():
-    today = datetime.date.today()
-    yesterday = today - datetime.timedelta(days=1)
-    yesterday = yesterday.strftime("%Y-%m-%d")
-    print(yesterday)
-    return yesterday
-
-
-def get_black_user():
-    conn2db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_prod')
-    cursor = conn2db.cursor()
-    sql = "select distinct device_id from blacklist"
-    cursor.execute(sql)
-    result = cursor.fetchall()
-    black_user = pd.DataFrame(list(result))[0].values.tolist()
-    cursor.close()
-    conn2db.close()
-    return black_user
-
-
-def get_data():
-    conn2db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='eagle')
-    cursor = conn2db.cursor()
-    sql = "select distinct device_id from ffm_diary_queue_temp where device_id regexp '[5|6]$'"
-    cursor.execute(sql)
-    result = cursor.fetchall()
-    device = pd.DataFrame(list(result))[0].values.tolist()
-    cursor.close()
-    conn2db.close()
-
-    device = tuple(set(device)-set(black))
-    return device
-
-
-def ctr_all():
-    db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_prod')
-    cursor = db.cursor()
-    sql_active = "select distinct device_id from data_feed_exposure " \
-                 "where cid_type = 'diary'" \
-                 "and device_id regexp'[5|6]$' and stat_date = '{}';".format(date)
-    cursor.execute(sql_active)
-    result = cursor.fetchall()
-    tail56 = pd.DataFrame(list(result))[0].values.tolist()
-    tail56 = set(tail56)-set(black)
-    print("当天尾号5或6活跃用户总数：")
-    print(len(tail56))
-
-    cover = len(tail56&set(device_id))
-    print("当天尾号5或6活跃用户覆盖数：")
-    print(cover)
-    cover_percent = format(cover / len(tail56), ".6f")
-    print("当天尾号5或6活跃用户覆盖率：")
-    print(cover_percent)
+if __name__ == "__main__":
+    device_id = "D17A3770-1CC7-4AFB-A9EA-6E667EE051FF"
+    search_qa_recommend_key = "TS:search_recommend_answer_queue:device_id:" + str(device_id)
+    r = redis.StrictRedis.from_url("redis://redis.paas-test.env:6379/1")
+    cids = list(range(529405,529408))
+    cids = [str(i) for i in cids]
 
-    return len(tail56),cover,cover_percent
+    value = json.dumps(cids)
+    r.hset(search_qa_recommend_key,'answer_queue',value)
 
 
-def ctr():
-    sql_click = "select count(cid) from data_feed_click " \
-              "where (cid_type = 'diary' or cid_type = 'diary_video') " \
-                "and stat_date = '{}' and device_id in {};".format(date,device_id)
-    db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_prod')
-    cursor = db.cursor()
-    cursor.execute(sql_click)
-    click = cursor.fetchone()[0]
-    print("实验用户点击数："+str(click))
-    sql_exp = "select count(cid) from data_feed_exposure " \
-              "where cid_type = 'diary'" \
-              "and stat_date = '{}' and device_id in {};".format(date,device_id)
-    cursor.execute(sql_exp)
-    exp = cursor.fetchone()[0]
-    print("实验用户曝光数："+str(exp))
-    print("实验用户点击率："+str(click/exp))
 
-    return click,exp,format(click/exp,".6f")
+    print(1)
 
 
-def rate2file():
-    output_path = DIRECTORY_PATH + "56ctr.csv"
-    with open(output_path,'a+') as f:
-        line = date.replace('-', '')+','+str(temp_data[0])+','+str(temp_data[1])+','+str(temp_data[2])+\
-               ","+str(data[0])+","+str(data[1])+","+str(data[2])+'\n'
-        f.write(line)
 
 
-if __name__ == "__main__":
-    DIRECTORY_PATH = "/data/ffm/"
-    date = get_yesterday_date()
-    black = get_black_user()
-    device_id = get_data()
-    temp_data = ctr()
-    data = ctr_all()
-    rate2file()

dataProcess.py

 import time
-from prepareData import fetch_data
+from read_filter import fetch_data
 from utils import *
 import pandas as pd
 from config import *

diaryTestSet.py

-import pymysql
-import pandas as pd
-db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test')
-
-# 从数据库获取数据，并将数据转化成DataFrame
-def get_data(sql):
-    cursor = db.cursor()
-    cursor.execute(sql)
-    data = cursor.fetchall()
-    data = pd.DataFrame(list(data)).dropna()
-    return data
-
-# 获取全国点击量TOP2000日记
-sql = "select city_id,cid where cid_type = 'diary' order by click_count_choice desc limit 2000"
-allCitiesTop2000 = get_data(sql)
-allCitiesTop2000 = allCitiesTop2000.rename(columns={0:"city_id",1:"cid"})
-allCitiesTop2000.to_csv("\home\zhangyanzhao\diaryTestSet\allCitiesTop2000.csv")
-print("成功获取全国日记点击量TOP2000")
-
-# 获取全国城市列表
-sql = "select distinct city_id from data_feed_click"
-cityList = get_data(sql)
-cityList.to_csv("\home\zhangyanzhao\diaryTestSet\cityList.csv")
-cityList = cityList[0].values.tolist()
-print("成功获取城市列表")
-
-# 获取每个城市点击量TOP2000日记，如果数量小于2000，用全国点击量TOP2000日记补充
-for i in cityList:
-    sql = "select city_id,cid from data_feed_click " \
-          "where cid_type = 'diary' and city_id = {0} " \
-          "order by click_count_choice desc limit 2000".format(i)
-    data = get_data(sql)
-    data = data.rename(columns={0:"city_id",1:"cid"})
-
-    if data.shape[0]<2000:
-        n = 2000-data.shape[0]
-        # 全国点击量TOP2000日记中去除该城市的日记
-        temp = allCitiesTop2000[allCitiesTop2000["city_id"]!=i].loc[:n-1]
-        data = data.append(temp)
-    else:
-        pass
-
-    file_name = "\home\zhangyanzhao\diaryTestSet\{0}DiaryTop2000.csv".format(i)
-    data.to_csv(file_name)
-
-print("end")
-
-
-
-

dislike.py

+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+import json
+from pyspark.streaming.kafka import KafkaUtils
+from pyspark import SparkContext
+from pyspark.sql import SQLContext
+from pyspark.streaming import StreamingContext
+from pyspark import  SparkConf
+import redis
+import sys
+import os
+import json
+import pymysql
+import numpy as np
+import pandas as pd
+import time
+import datetime
+
+
+def Json(x):
+    try:
+        data = json.loads(x[1])
+        if 'type' in data and 'device' in data:
+            if data['type'] == 'on_click_button' \
+                    and data['params']['page_name'] == 'home' and data['params']['tab_name'] == '精选' \
+                    and data['params']['button_name'] == 'user_feedback_type' \
+                    and data['params']['extra_param'][0]["card_content_type"] in ("diary","qa","user_post") \
+                    and ("1" in data['params']['extra_param'][0]["feedback_type"]
+                         or "2" in data['params']['extra_param'][0]["feedback_type"]):
+                return True
+            else:
+                return False
+        else:
+            return False
+
+    except Exception as e:
+        print("filter fail")
+        print(e)
+
+
+def model(rdd):
+    try:
+        rdd = rdd.filter(lambda x:Json(x)).repartition(10).map(lambda x:get_data(x))\
+            .map(lambda x:write_redis(x[0],x[1],x[2]))
+        return rdd
+    except:
+        print("fail")
+
+
+def get_data(x):
+    try:
+        data = json.loads(x[1])
+        device_id = data['device']['device_id']
+        cid = data['params']['extra_param'][0]["card_id"]
+        card = data['params']['extra_param'][0]["card_content_type"]
+        return device_id,cid,card
+    except Exception as e:
+        print("get_data fail")
+        # send_email("get_data", "get_data", e)
+
+
+def write_redis(device_id,cid,card):
+    if card == "diary":
+        diary_write(device_id, cid)
+    elif card == "qa":
+        question_write(device_id, cid)
+    elif card == "user_post":
+        tractate_write(device_id, cid)
+
+
+def tractate_write(device_id, cid):
+    try:
+        db = pymysql.connect(host='172.16.40.158', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='eagle')
+        sql = "select b.id from src_mimas_prod_api_tractate_tag a left join src_zhengxing_api_tag b " \
+              "on a.tag_id = b.id where b.tag_type = '3' and a.tractate_id = {}".format(cid)
+        cursor = db.cursor()
+        cursor.execute(sql)
+        result = cursor.fetchall()
+        if len(result) > 0:
+            tags = result[0][0]
+            if tags is not None:
+                sql = "select a.id from src_mimas_prod_api_tractate a left join src_mimas_prod_api_tractate_tag b " \
+                      "on a.id=b.tractate_id left join src_zhengxing_api_tag c on b.tag_id=c.id " \
+                      "where a.is_online = 1 and c.id = {} and c.tag_type = '3'".format(tags)
+                cursor.execute(sql)
+                result = cursor.fetchall()
+                db.close()
+
+                if len(result) > 0:
+                    cids = [str(i[0]) for i in result]
+
+                    r = redis.Redis(host="172.16.40.135", port=5379, password="",db = 2)
+                    key = str(device_id) + "_dislike_tractate"
+                    if r.exists(key):
+                        value = json.loads(r.get(key).decode('utf-8'))
+                        value.extend(cids)
+                        cids = json.dumps(list(set(value)))
+                        r.set(key, cids)
+                        print("cunza")
+
+                    else:
+                        r.set(key, json.dumps(cids))
+                        r.expire(key, 7 * 24 * 60 * 60)
+
+
+    except Exception as e:
+        print("tractate insert redis fail")
+        print(e)
+
+
+def question_write(device_id,cid):
+    try:
+        db = pymysql.connect(host='172.16.40.158', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='eagle')
+        sql = "select b.id from src_mimas_prod_api_questiontag a left join src_zhengxing_api_tag b " \
+              "on a.tag_id = b.id where b.tag_type = '3' and a.question_id = {}".format(cid)
+
+        cursor = db.cursor()
+        cursor.execute(sql)
+        result = cursor.fetchall()
+        if len(result) > 0:
+            tags = result[0][0]
+            if tags is not None:
+                sql = "select a.id from src_mimas_prod_api_question a left join src_mimas_prod_api_questiontag b " \
+                      "on a.id=b.question_id left join src_zhengxing_api_tag c on b.tag_id=c.id " \
+                      "where a.is_online = 1 and c.tag_type = '3' and c.id = {}".format(tags)
+                cursor.execute(sql)
+                result = cursor.fetchall()
+                db.close()
+                if len(result) > 0:
+                    cids = [str(i[0]) for i in result]
+
+                    r = redis.Redis(host="172.16.40.135", port=5379, password="", db=2)
+                    key = str(device_id) + "_dislike_qa"
+                    if r.exists(key):
+                        value = json.loads(r.get(key).decode('utf-8'))
+                        value.extend(cids)
+                        cids = json.dumps(list(set(value)))
+                        r.set(key, cids)
+                        print("cunza")
+
+                    else:
+                        r.set(key, json.dumps(cids))
+                        r.expire(key, 7 * 24 * 60 * 60)
+                        print("bucunza")
+            return "question good"
+
+    except Exception as e:
+        print("question insert redis fail")
+        print(e)
+
+
+def diary_write(device_id,cid):
+    try:
+        db = pymysql.connect(host='172.16.40.158', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='eagle')
+        sql = "select b.id from src_mimas_prod_api_diary_tags a left join src_zhengxing_api_tag b " \
+              "on a.tag_id = b.id where b.tag_type = '3' and a.diary_id = {}".format(cid)
+        cursor = db.cursor()
+        cursor.execute(sql)
+        result = cursor.fetchall()
+        if len(result) > 0:
+            tags = result[0][0]
+            if tags is not None:
+                sql = "select a.id from src_mimas_prod_api_diary a left join src_mimas_prod_api_diary_tags b " \
+                      "on a.id=b.diary_id left join src_zhengxing_api_tag c on b.tag_id=c.id " \
+                      "where a.is_online = 1 and a.content_level >= '3' " \
+                      "and c.id = {} and c.tag_type = '3'".format(tags)
+                cursor.execute(sql)
+                result = cursor.fetchall()
+                db.close()
+                if len(result) > 0:
+                    cids = [str(i[0]) for i in result]
+                    r = redis.Redis(host="172.16.40.135", port=5379, password="", db=2)
+                    key = str(device_id) + "_dislike_diary"
+                    if r.exists(key):
+                        value = json.loads(r.get(key).decode('utf-8'))
+                        value.extend(cids)
+                        cids = json.dumps(list(set(value)))
+                        r.set(key, cids)
+
+                    else:
+                        r.set(key, json.dumps(cids))
+                        r.expire(key, 7 * 24 * 60 * 60)
+
+    except Exception as e:
+        print("diary insert redis fail")
+        print(e)
+
+
+sc = SparkContext(conf=SparkConf().setMaster("spark://nvwa01:7077").setAppName("dislike").set("spark.io.compression.codec", "lzf"))
+ssc = StreamingContext(sc,4)
+sc.setLogLevel("WARN")
+kafkaParams = {"metadata.broker.list": "172.16.44.25:9092,172.16.44.31:9092,172.16.44.45:9092",
+               "group.id": "dislike",
+               "socket.timeout.ms": "600000",
+               "auto.offset.reset": "largest"}
+
+
+stream = KafkaUtils.createDirectStream(ssc, ["gm-maidian-data"], kafkaParams)
+transformstream = stream.transform(lambda x:model(x))
+transformstream.pprint()
+
+ssc.start()
+ssc.awaitTermination()
+
+
+
+
+
+

eda/esmm/Model_pipline/rerank_esmm.py

+import pymysql
+import datetime
+import json
+import redis
+import pandas as pd
+from sqlalchemy import create_engine
+
+
+def get_mysql_data(host,port,user,passwd,db,sql):
+    db = pymysql.connect(host=host, port=port, user=user, passwd=passwd,db=db)
+    cursor = db.cursor()
+    cursor.execute(sql)
+    result = cursor.fetchall()
+    db.close()
+    return result
+
+
+def get_esmm_users():
+    try:
+        stat_date = (datetime.date.today() - datetime.timedelta(days=1)).strftime("%Y-%m-%d")
+        sql = "select distinct device_id,city_id from data_feed_exposure_precise " \
+              "where stat_date = '{}'".format(stat_date)
+        result = get_mysql_data('172.16.40.158', 4000, 'root','3SYz54LS9#^9sBvC','jerry_prod',sql)
+        result = list(result)
+        return result
+    except:
+        return []
+
+
+def get_user_profile(device_id,top_k = 5):
+    try:
+        r = redis.Redis(host="172.16.40.135", port=5379, password="", db=2)
+        key = "user:portrait_tags:cl_id:" + str(device_id)
+        if r.exists(key):
+            tmp = json.loads(r.get(key).decode('utf-8'))
+            tag_score = {}
+            for i in tmp:
+                if i["type"] == "tag":
+                    tag_score[i["content"]] = i["score"]
+                elif i["content"] in name_tag.keys():
+                    tag_score[name_tag[i["content"]]] = i["score"]
+            tag_sort = sorted(tag_score.items(), key=lambda x: x[1], reverse=True)
+            tags = []
+            if len(tag_sort) > top_k:
+                for i in range(top_k):
+                    tags.append(tag_sort[i][0])
+            else:
+                for i in tag_sort:
+                    tags.append(i[0])
+
+            return tags
+        else:
+            return []
+    except:
+        return []
+
+
+def get_searchworlds_to_tagid():
+    try:
+        sql = 'select id, name from api_tag where is_online = 1 and tag_type < 4'
+        tag_id = get_mysql_data('172.16.30.141', 3306, 'work', 'BJQaT9VzDcuPBqkd', 'zhengxing', sql)
+        searchworlds_to_tagid = {}
+        for i in tag_id:
+            searchworlds_to_tagid[i[1]] = i[0]
+
+        return searchworlds_to_tagid
+    except Exception as e:
+        return {}
+
+
+def get_queues(device_id,city_id):
+    try:
+        db = pymysql.connect(host='172.16.40.158', port=4000, user='root',
+                             passwd='3SYz54LS9#^9sBvC', db='jerry_test')
+        cursor = db.cursor()
+        sql = "select native_queue, nearby_queue, nation_queue, megacity_queue from esmm_device_diary_queue " \
+              "where device_id = '{}' and city_id = '{}'".format(device_id, city_id)
+        cursor.execute(sql)
+        result = cursor.fetchone()
+        db.close()
+        if result is not None:
+            return list(result)
+        else:
+            return []
+    except:
+        return []
+
+
+def tag_boost(cid_str, tag_list):
+    if cid_str is not None and cid_str != "":
+        cids = cid_str.split(",")
+        try:
+            if len(cids) > 6 and len(tag_list) > 0:
+                sql = "select id,group_concat(diary_id) from " \
+                      "(select a.diary_id,b.id from src_mimas_prod_api_diary_tags a left join src_zhengxing_api_tag b " \
+                      "on a.tag_id = b.id where b.tag_type < '4' and a.diary_id in {}) tmp " \
+                      "where id in {} group by id".format(tuple(cids), tuple(tag_list))
+                result = get_mysql_data('172.16.40.158', 4000, 'root', '3SYz54LS9#^9sBvC','eagle',sql)
+                if len(result) > 0:
+                    tag_cids = {}
+                    left_cids = []
+                    for i in result:
+                        tmp = i[1].split(",")
+                        tmp = [i for i in cids if i in tmp]
+                        tag_cids[i[0]] = tmp
+                        left_cids.extend(tmp)
+
+                    left_cids = list(set(left_cids))
+                    right_cids = [i for i in cids if i not in left_cids]
+                    tag_cids["right"] = right_cids
+                    tag_list.append("right")
+                    sort_cids = []
+                    n = 0
+                    while n != len(tag_cids) - 1:
+                        for i in tag_list:
+                            if i in tag_cids.keys():
+                                if len(tag_cids[i]) > 0:
+                                    sort_cids.append(tag_cids[i][0])
+                                    value = tag_cids[i]
+                                    value.pop(0)
+                                    tag_cids[i] = value
+                                    if len(value) == 0 and i != "right":
+                                        n = n + 1
+
+                    if len(tag_cids["right"]) > 0:
+                        sort_cids.extend(tag_cids["right"])
+
+                    news_ids = []
+                    for id in sort_cids:
+                        if id not in news_ids:
+                            news_ids.append(id)
+
+                    new_str = ",".join([str(i) for i in news_ids])
+                    return new_str
+
+                else:
+                    return cid_str
+            else:
+                return cid_str
+        except:
+            #TODO 往sentry发，并且在本地也要打出日志
+            return cid_str
+
+    else:
+        return cid_str
+
+
+def to_data_base(df):
+    sql = "select distinct device_id from esmm_resort_diary_queue"
+    result = get_mysql_data('172.16.40.158', 4000, 'root','3SYz54LS9#^9sBvC', 'jerry_test',sql)
+    old_uid = [i[0] for i in result]
+    if len(old_uid) > 0:
+        old_uid = set(df["device_id"].values)&set(old_uid)
+        old_number = len(old_uid)
+        if old_number > 0:
+            db = pymysql.connect(host='172.16.40.158', port=4000, user='root',
+                                 passwd='3SYz54LS9#^9sBvC', db='jerry_test')
+            sql = "delete from esmm_resort_diary_queue where device_id in {}".format(tuple(old_uid))
+
+            cursor = db.cursor()
+            cursor.execute(sql)
+            db.commit()
+            cursor.close()
+            db.close()
+
+    yconnect = create_engine('mysql+pymysql://root:3SYz54LS9#^9sBvC@172.16.40.158:4000/jerry_test?charset=utf8')
+    pd.io.sql.to_sql(df, "esmm_resort_diary_queue", yconnect, schema='jerry_test', if_exists='append', index=False,
+                     chunksize=200)
+    print("insert done")
+
+
+if __name__ == "__main__":
+    users_list = get_esmm_users()
+    print("user number")
+    print(len(users_list))
+
+    name_tag = get_searchworlds_to_tagid()
+    n = 500
+    split_users_list = [users_list[i:i + n] for i in range(0, len(users_list), n)]
+    for child_users_list in split_users_list:
+        total_samples = list()
+        for uid_city in child_users_list:
+            tag_list = get_user_profile(uid_city[0])
+            queues = get_queues(uid_city[0], uid_city[1])
+            if len(queues) > 0 and len(tag_list) > 0:
+                new_native = tag_boost(queues[0], tag_list)
+                new_nearby = tag_boost(queues[1], tag_list)
+
+                insert_time = str(datetime.datetime.now().strftime('%Y%m%d%H%M'))
+                sample = [uid_city[0], uid_city[1], new_native, new_nearby, queues[2], queues[3], insert_time]
+                total_samples.append(sample)
+
+        if len(total_samples) > 0:
+            df = pd.DataFrame(total_samples)
+            df = df.rename(columns={0: "device_id", 1: "city_id",2:"native_queue",
+                                    3:"nearby_queue",4:"nation_queue",5:"megacity_queue",6:"time"})
+
+            to_data_base(df)
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+

hello.py

+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+from pyspark.streaming.kafka import KafkaUtils
+from pyspark import SparkContext
+from pyspark.sql import SQLContext
+from pyspark.streaming import StreamingContext
+from pyspark import SparkConf
+import json
+import msgpack
+import pymysql
+import smtplib
+from email.mime.text import MIMEText
+from email.utils import formataddr
+from email.mime.multipart import MIMEMultipart
+from email.mime.application import MIMEApplication
+import redis
+import datetime
+
+
+# filter logging
+def gbk_decoder(s):
+    if s is None:
+        return None
+    try:
+        data = msgpack.loads(s,encoding='utf-8')
+        return data
+    except:
+        data = json.loads(s)
+        return data
+
+
+def maidian(x):
+    try:
+        data = json.loads(x[1])
+        if 'type' in data and 'device' in data:
+            if data['type'] == 'on_click_button' \
+                    and data['params']['page_name'] == 'home' and data['params']['tab_name'] == '精选' \
+                    and data['params']['button_name'] == 'user_feedback_type' \
+                    and data['params']['extra_param'][0]["card_content_type"] == "diary" \
+                    and ("1" in data['params']['extra_param'][0]["feedback_type"]
+                         or "2" in data['params']['extra_param'][0]["feedback_type"]):
+                return True
+            else:
+                return False
+        else:
+            return False
+
+    except Exception as e:
+        print("filter fail")
+        print(e)
+
+
+def get_data(x):
+    try:
+        device_id = x[1]['device']['device_id']
+        diary_id = x[1]['params']['extra_param'][0]["card_id"]
+        return device_id,diary_id
+    except Exception as e:
+        print("get_data fail")
+        send_email("get_data", "get_data", e)
+
+
+def write_redis(device_id,cid_list):
+    try:
+        db = pymysql.connect(host='172.16.40.158', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='eagle')
+        sql = "select b.id from src_mimas_prod_api_diary_tags a left join src_zhengxing_api_tag b " \
+              "on a.tag_id = b.id where b.tag_type = '3' and a.diary_id in {}".format(tuple(cid_list))
+        cursor = db.cursor()
+        cursor.execute(sql)
+        result = cursor.fetchall()
+        tags = list(set([i[0] for i in result]))
+        if tags is not None:
+            sql = "select a.id from src_mimas_prod_api_diary a left join src_mimas_prod_api_diary_tags b " \
+                  "on a.id=b.diary_id left join src_zhengxing_api_tag c on b.tag_id=c.id " \
+                  "where a.is_online = 1 and a.content_level >= '3' " \
+                  "and c.id in {} and c.tag_type = '3'".format(tuple(tags))
+            cursor.execute(sql)
+            result = cursor.fetchall()
+            if result is not None:
+                cids = list(set([i[0] for i in result]))
+                r = redis.StrictRedis.from_url('redis://:ReDis!GmTx*0aN6@172.16.40.133:6379')
+                key = str(device_id) + "_dislike_diary"
+                if r.exists(key):
+                    value = eval(r.get(key))
+                    value.extend(cids)
+                    cids = json.dumps(list(set(value)))
+                    r.set(key, json.dumps(cids))
+                else:
+                    r.set(key, json.dumps(cids))
+                    r.expire(key, 7*24*60*60)
+    except Exception as e:
+        print("insert redis fail")
+        print(e)
+
+
+def model(rdd):
+    try:
+        rdd.filter(lambda x: maidian(x)).map(lambda x:get_data(x).na.drop().groupByKey())\
+            .map(lambda x:write_redis(x[0],x[1]))
+    except Exception as e:
+        print("fail")
+        print(e)
+
+
+if __name__ == '__main__':
+    sc = SparkContext(conf=SparkConf().setMaster("spark://nvwa01:7077").setAppName("dislike_filter").set(
+        "spark.io.compression.codec", "lzf"))
+    ssc = StreamingContext(sc, 10)
+    sc.setLogLevel("WARN")
+    kafkaParams = {"metadata.broker.list": "172.16.44.25:9092,172.16.44.31:9092,172.16.44.45:9092",
+                   "group.id": "dislike",
+                   "socket.timeout.ms": "600000",
+                   "auto.offset.reset": "largest"}
+    try:
+        stream = KafkaUtils.createDirectStream(ssc, ["gm-maidian-data"], kafkaParams, keyDecoder=gbk_decoder,
+                                               valueDecoder=gbk_decoder)
+        transformstream = stream.transform(lambda x: model(x))
+        transformstream.pprint()
+        ssc.start()
+        ssc.awaitTermination()
+    except Exception as e:
+        print(e)
+        # send_email(sc.appName, sc.applicationId, e)
+
+

keepProcess.py

-import os
-import time
-
-
-def check():
-    out = os.popen("ps aux | grep diaryQueueUpdate.py").read()
-    flag = 1
-    for line in out.splitlines():
-        if 'python diaryQueueUpdate.py' in line:
-            flag = 2
-    return flag
-
-
-if __name__ == "__main__":
-    #TODO 正式上线后，把下面的循环和time.sleep打开
-    # while True:
-    if check() == 1:
-        os.popen('python diaryQueueUpdate.py')
-        print("成功重启diaryQueueUpdate")
-    # time.sleep(300)
\ No newline at end of file

monitor.py

+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+import json
+from pyspark.streaming.kafka import KafkaUtils
+from pyspark import SparkContext
+from pyspark.sql import SQLContext
+from pyspark.streaming import StreamingContext
+from pyspark import  SparkConf
+import redis
+import sys
+import os
+import json
+import pymysql
+import numpy as np
+import pandas as pd
+import time
+import datetime
+
+def Json(x):
+    data = json.loads(x[1])
+    if 'type' in data and 'device' in data and 'params' in data and 'card_content_type' in data['params']:
+        if data['type'] == 'on_click_card' and data["device"]["device_id"] == "E417C286-40A4-42F6-BDA9-AEEBD8FEC3B6":
+            return True
+        else:
+            return False
+    else:
+        return False
+
+
+def model(rdd):
+    try:
+        rdd = rdd.filter(lambda x:Json(x)).repartition(10).map(lambda x:get_data(x))\
+            .map(lambda x:write_redis(x[0],x[1],x[2]))
+        return rdd
+    except:
+        print("fail")
+
+
+def get_data(x):
+    try:
+        data = json.loads(x[1])
+        device_id = data['device']['device_id']
+        diary_id = data['params']["card_id"]
+        card = data['params']['card_content_type']
+        return device_id,diary_id,card
+    except Exception as e:
+        print("get_data fail")
+        # send_email("get_data", "get_data", e)
+
+
+def write_redis(device_id,cid,card):
+    if card == "diary":
+        diary_write(device_id, cid)
+    elif card == "qa":
+        question_write(device_id, cid)
+    elif card == "user_post":
+        tractate_write(device_id, cid)
+
+
+def tractate_write(device_id, cid):
+    try:
+        db = pymysql.connect(host='172.16.40.158', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='eagle')
+        sql = "select b.id from src_mimas_prod_api_tractate_tag a left join src_zhengxing_api_tag b " \
+              "on a.tag_id = b.id where b.tag_type = '3' and a.tractate_id = {}".format(cid)
+        cursor = db.cursor()
+        cursor.execute(sql)
+        result = cursor.fetchall()
+        if len(result) > 0:
+            tags = result[0][0]
+            if tags is not None:
+                sql = "select a.id from src_mimas_prod_api_tractate a left join src_mimas_prod_api_tractate_tag b " \
+                      "on a.id=b.tractate_id left join src_zhengxing_api_tag c on b.tag_id=c.id " \
+                      "where a.is_online = 1 and c.id = {} and c.tag_type = '3'".format(tags)
+                cursor.execute(sql)
+                result = cursor.fetchall()
+                db.close()
+
+                if len(result) > 0:
+                    cids = [str(i[0]) for i in result]
+
+                    r = redis.Redis(host="172.16.40.135", port=5379, password="",db = 2)
+                    key = str(device_id) + "_dislike_tractate"
+                    if r.exists(key):
+                        value = json.loads(r.get(key).decode('utf-8'))
+                        value.extend(cids)
+                        cids = json.dumps(list(set(value)))
+                        r.set(key, cids)
+                        print("cunza")
+
+                    else:
+                        r.set(key, json.dumps(cids))
+                        r.expire(key, 7 * 24 * 60 * 60)
+
+
+    except Exception as e:
+        print("tractate insert redis fail")
+        print(e)
+
+
+def question_write(device_id,cid):
+    try:
+        db = pymysql.connect(host='172.16.40.158', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='eagle')
+        sql = "select b.id from src_mimas_prod_api_questiontag a left join src_zhengxing_api_tag b " \
+              "on a.tag_id = b.id where b.tag_type = '3' and a.question_id = {}".format(cid)
+
+        cursor = db.cursor()
+        cursor.execute(sql)
+        result = cursor.fetchall()
+        if len(result) > 0:
+            tags = result[0][0]
+            if tags is not None:
+                sql = "select a.id from src_mimas_prod_api_question a left join src_mimas_prod_api_questiontag b " \
+                      "on a.id=b.question_id left join src_zhengxing_api_tag c on b.tag_id=c.id " \
+                      "where a.is_online = 1 and c.tag_type = '3' and c.id = {}".format(tags)
+                cursor.execute(sql)
+                result = cursor.fetchall()
+                db.close()
+                if len(result) > 0:
+                    cids = [str(i[0]) for i in result]
+
+                    r = redis.Redis(host="172.16.40.135", port=5379, password="", db=2)
+                    key = str(device_id) + "_dislike_qa"
+                    if r.exists(key):
+                        value = json.loads(r.get(key).decode('utf-8'))
+                        value.extend(cids)
+                        cids = json.dumps(list(set(value)))
+                        r.set(key, cids)
+                        print("cunza")
+
+                    else:
+                        r.set(key, json.dumps(cids))
+                        r.expire(key, 7 * 24 * 60 * 60)
+                        print("bucunza")
+            return "question good"
+
+    except Exception as e:
+        print("question insert redis fail")
+        print(e)
+
+
+def diary_write(device_id,cid):
+    try:
+        db = pymysql.connect(host='172.16.40.158', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='eagle')
+        sql = "select b.id from src_mimas_prod_api_diary_tags a left join src_zhengxing_api_tag b " \
+              "on a.tag_id = b.id where b.tag_type = '3' and a.diary_id = {}".format(cid)
+        cursor = db.cursor()
+        cursor.execute(sql)
+        result = cursor.fetchall()
+        if len(result) > 0:
+            tags = result[0][0]
+            if tags is not None:
+                sql = "select a.id from src_mimas_prod_api_diary a left join src_mimas_prod_api_diary_tags b " \
+                      "on a.id=b.diary_id left join src_zhengxing_api_tag c on b.tag_id=c.id " \
+                      "where a.is_online = 1 and a.content_level >= '3' " \
+                      "and c.id = {} and c.tag_type = '3'".format(tags)
+                cursor.execute(sql)
+                result = cursor.fetchall()
+                db.close()
+                if len(result) > 0:
+                    cids = [str(i[0]) for i in result]
+                    r = redis.Redis(host="172.16.40.135", port=5379, password="", db=2)
+                    key = str(device_id) + "_dislike_diary"
+                    if r.exists(key):
+                        value = json.loads(r.get(key).decode('utf-8'))
+                        value.extend(cids)
+                        cids = json.dumps(list(set(value)))
+                        r.set(key, cids)
+
+                    else:
+                        r.set(key, json.dumps(cids))
+                        r.expire(key, 7 * 24 * 60 * 60)
+
+    except Exception as e:
+        print("diary insert redis fail")
+        print(e)
+
+
+# sc = SparkContext(conf=SparkConf().setMaster("spark://nvwa01:7077").setAppName("dislike").set("spark.io.compression.codec", "lzf"))
+# ssc = StreamingContext(sc,4)
+# sc.setLogLevel("WARN")
+# kafkaParams = {"metadata.broker.list": "172.16.44.25:9092,172.16.44.31:9092,172.16.44.45:9092",
+#                "group.id": "dislike",
+#                "socket.timeout.ms": "600000",
+#                "auto.offset.reset": "largest"}
+#
+#
+# stream = KafkaUtils.createDirectStream(ssc, ["gm-maidian-data"], kafkaParams)
+# transformstream = stream.transform(lambda x:model(x))
+# transformstream.pprint()
+#
+# ssc.start()
+# ssc.awaitTermination()
+
+def make_data(device_id,city_id,key_head):
+    r = redis.StrictRedis.from_url("redis://redis.paas-test.env:6379/2")
+    key = key_head + device_id + ":city_id:" + city_id
+    r.hset(name=key, key="native_queue", value=native)
+    r.hset(name=key, key="nearby_queue", value=nearby)
+    r.hset(name=key, key="nation_queue", value=nation)
+    r.hset(name=key, key="megacity_queue", value=megacity)
+    print(r.hgetall(key))
+    native = ",".join([str(i) for i in (range(100, 102))])
+    nearby = ",".join([str(i) for i in (range(102, 106))])
+    nation = ",".join([str(i) for i in (range(106, 110))])
+    megacity = ",".join([str(i) for i in (range(110, 118))])
+    key_head = "device_diary_queue_rerank:device_id:"
+    # key_head = "device_diary_queue:device_id:"
+    device_id = "868663038800471"
+    # make_data(device_id, "beijing", key_head)
+    # device_id = "868663038800476"
+    city_id = "beijing"
+
+if __name__ == "__main__":
+    users_list = list(range(1,90))
+    n = 3
+    split_users_list = [users_list[i:i + n] for i in range(0, len(users_list), n)]
+    for child_users_list in split_users_list:
+        total_samples = list()
+        for uid_city in child_users_list:
+            # tag_list = get_user_profile(uid_city[0])
+            # queues = get_queues(uid_city[0], uid_city[1])
+            # if len(queues) > 0 and len(tag_list) > 0:
+            #     new_native = tag_boost(queues[0], tag_list)
+            #     new_nearby = tag_boost(queues[1], tag_list)
+            #
+            #     insert_time = str(datetime.datetime.now().strftime('%Y%m%d%H%M'))
+            #     sample = [uid_city[0], uid_city[1], new_native, new_nearby, queues[2], queues[3], insert_time]
+            total_samples.append(uid_city)
+
+        if len(total_samples) > 0:
+            df = pd.DataFrame(total_samples)
+            df = df.rename(columns={0: "device_id"})
+
+            print("df numbers")
+            print(df.shape[0])
+            # to_data_base(df)
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+

prepareData.py

-from utils import con_sql
-import datetime
-import time
-import pymysql
-
-
-def fetch_data(start_date, end_date):
-    # 获取点击表里的device_id
-    db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test')
-    sql = "select distinct device_id from data_feed_click"
-    click_device_id = con_sql(db,sql)[0].values.tolist()
-    print("成功获取点击表里的device_id")
-    # 获取点击表里的数据
-    sql = "select cid,device_id,time,stat_date from data_feed_click " \
-          "where stat_date >= '{0}' and stat_date <= '{1}'".format(start_date, end_date)
-    # 因为上面的db已经关了，需要再写一遍
-    db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test')
-    click = con_sql(db,sql)
-    click = click.rename(columns={0: "cid", 1: "device_id", 2: "time_date", 3: "stat_date"})
-    print("成功获取点击表里的数据")
-    # 从time特征中抽取hour
-    click["hour"] = click["time_date"].apply(lambda x: datetime.datetime.fromtimestamp(x).hour)
-    click["minute"] = click["time_date"].apply(lambda x: datetime.datetime.fromtimestamp(x).minute)
-    click = click.drop("time_date", axis=1)
-
-    # 获取曝光表里的数据
-    sql = "select cid,device_id,time,stat_date from data_feed_exposure " \
-          "where stat_date >= '{0}' and stat_date <= '{1}'".format(start_date, end_date)
-    start = time.time()
-    # 因为上面的db已经关了，需要再写一遍
-    db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test')
-    exposure = con_sql(db,sql)
-    end = time.time()
-    print("获取曝光表耗时{}分".format((end-start)/60))
-    exposure = exposure.rename(columns={0: "cid", 1: "device_id", 2: "time_date", 3: "stat_date"})
-    print("成功获取曝光表里的数据")
-    # 从time特征中抽取hour
-    exposure["hour"] = exposure["time_date"].apply(lambda x: datetime.datetime.fromtimestamp(x).hour)
-    exposure["minute"] = exposure["time_date"].apply(lambda x: datetime.datetime.fromtimestamp(x).minute)
-    exposure = exposure.drop("time_date", axis=1)
-
-
-    return exposure, click, click_device_id

read_filter.py

+import redis
+import datetime
+import json
+
+
+def filter_history(device_id,cid_list):
+    r = redis.StrictRedis.from_url("redis://redis.paas-test.env:6379/1")
+    all_key = "TS:recommend_tractate_set:device_id:" + str(device_id)
+    old_key = "TS:recommend_tractate_set:device_id:'{}':'{}'"\
+        .format(device_id,(datetime.date.today() - datetime.timedelta(days=14)).strftime("%Y-%m-%d"))
+    today_key = "TS:recommend_tractate_set:device_id:'{}':'{}'"\
+        .format(device_id,datetime.date.today().strftime("%Y-%m-%d"))
+    if r.exists(today_key):
+        r.sadd(today_key, *cid_list)
+    else:
+        r.sadd(today_key, *cid_list)
+        r.expire(today_key,15*24*60*60)
+    if r.exists(all_key) and r.exists(old_key):
+        r.sdiffstore(all_key, all_key, old_key)
+        r.delete(old_key)
+        r.expire(all_key, time=13*24*60*60)
+
+    r.sadd(all_key, *r.smembers(today_key))
+
+
+def get_dairy():
+    device_id = "868080041007173"
+    r = redis.StrictRedis.from_url("redis://redis.paas-test.env:6379/0")
+
+    dislike_key = str(device_id) + "_dislike_diary"
+    dislike_cids = [2,20,40,61,81,101,121]
+    r.sadd(dislike_key,*dislike_cids)
+    print("不喜欢")
+    print(r.smembers(dislike_key))
+
+    user_portrait_diary_key = 'user_portrait_recommend_diary_queue:device_id:%s:%s' % \
+                              (device_id, datetime.datetime.now().strftime('%Y-%m-%d'))
+    user_cids = list(range(2,6))
+    user_cids = [str(i) for i in user_cids]
+    r.hset(user_portrait_diary_key,'diary_queue',json.dumps(user_cids))
+    r.hset(user_portrait_diary_key, 'cursor', "0")
+    r.hset(user_portrait_diary_key, 'len_cursor', "0")
+    print("画像")
+    print(r.hgetall(user_portrait_diary_key))
+
+    search_diary_recommend_key = "TS:search_recommend_diary_queue:device_id:" + str(device_id)
+    serach_cids = list(range(20,26))
+    serach_cids = [str(i) for i in serach_cids]
+    r.hset(search_diary_recommend_key, 'diary_queue', json.dumps(serach_cids))
+    print("search")
+    print(r.hgetall(search_diary_recommend_key))
+
+
+    diary_recommend_key = "TS:recommend_diary_queue:device_id:" + str(device_id)
+    ts_cids = list(range(40,46))
+    ts_cids = [str(i) for i in ts_cids]
+    r.hset(diary_recommend_key, 'diary_queue', json.dumps(ts_cids))
+    print("ts")
+    print(r.hgetall(diary_recommend_key))
+
+    use_city_id = "beijing"
+    personal_key = "device_diary_queue:device_id:" + device_id + ":city_id:" + use_city_id
+    native_quue = ",".join([str(i) for i in range(60,80)])
+    nearby_quue = ",".join([str(i) for i in range(80,100)])
+    mea_queue = ",".join([str(i) for i in range(100,120)])
+    nation_queue = ",".join([str(i) for i in range(120,130)])
+    r.hset(personal_key,"native_queue",native_quue)
+    r.hset(personal_key, "nearby_queue", nearby_quue)
+    r.hset(personal_key, "nation_queue", nation_queue)
+    r.hset(personal_key, "megacity_queue", mea_queue)
+    print("personnal ")
+    print(r.hgetall(personal_key))
+
+
+def get_qa():
+    device_id = "868080041007173"
+    r = redis.StrictRedis.from_url("redis://redis.paas-test.env:6379/0")
+
+    dislike_key = str(device_id) + "_dislike_qa"
+    dislike_cids = [529401,529412,529403]
+    r.sadd(dislike_key, *dislike_cids)
+    print("不喜欢")
+    print(r.smembers(dislike_key))
+
+    search_qa_recommend_key = "TS:search_recommend_answer_queue:device_id:" + str(device_id)
+    r.hset(search_qa_recommend_key,'answer_queue',json.dumps(list(range(529401,529408))))
+
+    print(r.hgetall(search_qa_recommend_key))
+
+def get_topic():
+    device_id = "868080041007173"
+    r = redis.StrictRedis.from_url("redis://redis.paas-test.env:6379/0")
+
+    dislike_key = str(device_id) + "_dislike_tractate"
+    dislike_cids = [2,37]
+    r.sadd(dislike_key, *dislike_cids)
+    print("不喜欢")
+    print(r.smembers(dislike_key))
+
+    search_topic_recommend_key = "TS:search_recommend_tractate_queue:device_id:" + str(device_id)
+    r.hset(search_topic_recommend_key,'tractate_queue',json.dumps(list(range(1,4))))
+
+    print(r.hgetall(search_topic_recommend_key))
+
+def yanzheng():
+    device_id = "E417C286-40A4-42F6-BDA9-AEEBD8FEC3B6"
+    r = redis.Redis(host="172.16.40.135", port=5379, db=2, socket_timeout=2000)
+
+
+
+
+
+
+
+
+
+
+
+
+if __name__ == "__main__":
+    # cid = [16,18,20]
+    # filter_history("hello",cid)
+    get_topic()
+
+
+
+
+
+
+
+

rerank_esmm.py

+import pymysql
+import datetime
+import json
+import redis
+import pandas as pd
+from sqlalchemy import create_engine
+
+
+def get_mysql_data(host,port,user,passwd,db,sql):
+    db = pymysql.connect(host=host, port=port, user=user, passwd=passwd,db=db)
+    cursor = db.cursor()
+    cursor.execute(sql)
+    result = cursor.fetchall()
+    db.close()
+    return result
+
+
+def get_esmm_users():
+    try:
+        stat_date = (datetime.date.today() - datetime.timedelta(days=1)).strftime("%Y-%m-%d")
+        sql = "select distinct device_id,city_id from data_feed_exposure_precise " \
+              "where stat_date = '{}'".format(stat_date)
+        result = get_mysql_data('172.16.40.158', 4000, 'root','3SYz54LS9#^9sBvC','jerry_prod',sql)
+        result = list(result)
+        return result
+    except:
+        return []
+
+
+
+def get_user_profile(device_id,top_k = 5):
+
+    try:
+        r = redis.Redis(host="172.16.40.135", port=5379, password="", db=2)
+        key = "user:portrait_tags:cl_id:" + str(device_id)
+        if r.exists(key):
+            tmp = json.loads(r.get(key).decode('utf-8'))
+            tag_score = {}
+            for i in tmp:
+                if i["type"] == "tag":
+                    tag_score[i["content"]] = i["score"]
+                elif i["content"] in name_tag.keys():
+                    tag_score[name_tag[i["content"]]] = i["score"]
+            tag_sort = sorted(tag_score.items(), key=lambda x: x[1], reverse=True)
+            tags = []
+            if len(tag_sort) > top_k:
+                for i in range(top_k):
+                    tags.append(tag_sort[i][0])
+            else:
+                for i in tag_sort:
+                    tags.append(i[0])
+
+            return tags
+        else:
+            return []
+    except:
+        return []
+
+
+
+def get_searchworlds_to_tagid():
+    try:
+        sql = 'select id, name from api_tag where is_online = 1 and tag_type < 4'
+        tag_id = get_mysql_data('172.16.30.141', 3306, 'work', 'BJQaT9VzDcuPBqkd', 'zhengxing', sql)
+        searchworlds_to_tagid = {}
+        for i in tag_id:
+            searchworlds_to_tagid[i[1]] = i[0]
+
+        return searchworlds_to_tagid
+    except Exception as e:
+        return {}
+
+
+def get_queues(device_id,city_id):
+    try:
+        db = pymysql.connect(host='172.16.40.158', port=4000, user='root',
+                             passwd='3SYz54LS9#^9sBvC', db='jerry_test')
+        cursor = db.cursor()
+        sql = "select native_queue, nearby_queue, nation_queue, megacity_queue from esmm_device_diary_queue " \
+              "where device_id = '{}' and city_id = '{}'".format(device_id, city_id)
+        cursor.execute(sql)
+        result = cursor.fetchone()
+        db.close()
+        if result is not None:
+            return list(result)
+        else:
+            return []
+    except:
+        return []
+
+
+def tag_boost(cid_str, tag_list):
+    if cid_str is not None and cid_str != "":
+        cids = cid_str.split(",")
+        try:
+            if len(cids) > 6 and len(tag_list) > 0:
+                sql = "select id,group_concat(diary_id) from " \
+                      "(select a.diary_id,b.id from src_mimas_prod_api_diary_tags a left join src_zhengxing_api_tag b " \
+                      "on a.tag_id = b.id where b.tag_type < '4' and a.diary_id in {}) tmp " \
+                      "where id in {} group by id".format(tuple(cids), tuple(tag_list))
+                result = get_mysql_data('172.16.40.158', 4000, 'root', '3SYz54LS9#^9sBvC','eagle',sql)
+                if len(result) > 0:
+                    tag_cids = {}
+                    left_cids = []
+                    for i in result:
+                        tmp = i[1].split(",")
+                        tmp = [i for i in cids if i in tmp]
+                        tag_cids[i[0]] = tmp
+                        left_cids.extend(tmp)
+
+                    left_cids = list(set(left_cids))
+                    right_cids = [i for i in cids if i not in left_cids]
+                    tag_cids["right"] = right_cids
+                    tag_list.append("right")
+                    sort_cids = []
+                    n = 0
+                    while n != len(tag_cids) - 1:
+                        for i in tag_list:
+                            if i in tag_cids.keys():
+                                if len(tag_cids[i]) > 0:
+                                    sort_cids.append(tag_cids[i][0])
+                                    value = tag_cids[i]
+                                    value.pop(0)
+                                    tag_cids[i] = value
+                                    if len(value) == 0 and i != "right":
+                                        n = n + 1
+
+                    if len(tag_cids["right"]) > 0:
+                        sort_cids.extend(tag_cids["right"])
+
+                    news_ids = []
+                    for id in sort_cids:
+                        if id not in news_ids:
+                            news_ids.append(id)
+
+                    new_str = ",".join([str(i) for i in news_ids])
+                    return new_str
+
+                else:
+                    return cid_str
+            else:
+                return cid_str
+        except:
+            #TODO 往sentry发，并且在本地也要打出日志
+            return cid_str
+
+    else:
+        return cid_str
+
+
+def to_data_base(df):
+    sql = "select distinct device_id from esmm_resort_diary_queue"
+    result = get_mysql_data('172.16.40.158', 4000, 'root','3SYz54LS9#^9sBvC', 'jerry_test',sql)
+    old_uid = [i[0] for i in result]
+    if len(old_uid) > 0:
+        old_uid = set(df["device_id"].values)&set(old_uid)
+        old_number = len(old_uid)
+        if old_number > 0:
+            db = pymysql.connect(host='172.16.40.158', port=4000, user='root',
+                                 passwd='3SYz54LS9#^9sBvC', db='jerry_test')
+            sql = "delete from esmm_resort_diary_queue where device_id in {}".format(tuple(old_uid))
+
+            cursor = db.cursor()
+            cursor.execute(sql)
+            db.commit()
+            cursor.close()
+            db.close()
+
+    yconnect = create_engine('mysql+pymysql://root:3SYz54LS9#^9sBvC@172.16.40.158:4000/jerry_test?charset=utf8')
+    pd.io.sql.to_sql(df, "esmm_resort_diary_queue", yconnect, schema='jerry_test', if_exists='append', index=False,
+                     chunksize=200)
+    print("insert done")
+
+
+def get_all_users():
+    try:
+        sql = "select distinct device_id,city_id from esmm_device_diary_queue"
+        result = get_mysql_data('172.16.40.158', 4000, 'root','3SYz54LS9#^9sBvC','jerry_test',sql)
+        result = list(result)
+        return result
+    except:
+        return []
+
+
+if __name__ == "__main__":
+    # users_list = get_esmm_users()
+    # print("user number")
+    # print(len(users_list))
+    users_list = get_all_users()
+
+    name_tag = get_searchworlds_to_tagid()
+    n = 500
+    split_users_list = [users_list[i:i + n] for i in range(0, len(users_list), n)]
+    for child_users_list in split_users_list:
+        total_samples = list()
+        for uid_city in child_users_list:
+            tag_list = get_user_profile(uid_city[0])
+            queues = get_queues(uid_city[0], uid_city[1])
+            if len(queues) > 0 and len(tag_list) > 0:
+                new_native = tag_boost(queues[0], tag_list)
+                new_nearby = tag_boost(queues[1], tag_list)
+
+                insert_time = str(datetime.datetime.now().strftime('%Y%m%d%H%M'))
+                sample = [uid_city[0], uid_city[1], new_native, new_nearby, queues[2], queues[3], insert_time]
+                total_samples.append(sample)
+
+        if len(total_samples) > 0:
+            df = pd.DataFrame(total_samples)
+            df = df.rename(columns={0: "device_id", 1: "city_id",2:"native_queue",
+                                    3:"nearby_queue",4:"nation_queue",5:"megacity_queue",6:"time"})
+
+            to_data_base(df)
+
+
+
+
+
+
+
+
+
+
+
+
+
+

tensnsorflow/test.py

@@ -6,15 +6,16 @@
 import pandas as pd
 import pymysql
 from sqlalchemy import create_engine
-
+import redis
+import json
 
 
 def test():
         conf = SparkConf().setAppName("My App").set("spark.io.compression.codec", "lzf")
         sc = SparkContext(conf = conf)
         spark = SparkSession.builder.enableHiveSupport().getOrCreate()
-        # ti = pti.TiContext(spark)
-        # ti.tidbMapDatabase("jerry_test")
+        ti = pti.TiContext(spark)
+        ti.tidbMapDatabase("jerry_test")
 
         spark = SparkSession.builder.appName("hello test").enableHiveSupport().getOrCreate()
 
@@ -24,11 +25,11 @@ def test():
         spark.sql("CREATE TEMPORARY FUNCTION json_map AS 'brickhouse.udf.json.JsonMapUDF'")
         spark.sql("CREATE TEMPORARY FUNCTION is_json AS 'com.gmei.hive.common.udf.UDFJsonFormatCheck'")
 
-        # hive_context.sql("SET mapreduce.job.queuename=data")
-        # hive_context.sql("SET mapred.input.dir.recursive=true")
-        # hive_context.sql("SET hive.mapred.supports.subdirectories=true")
-        sql = "select user_id from online.tl_hdfs_maidian_view where partition_date = '20190412' limit 10"
-        spark.sql(sql).show(6)
+        sql = """select cl_id as device_id,params["business_id"] as cid_id,
+        (params["out"]-params["in"]) as dur_time from online.bl_hdfs_maidian_updates where action="page_view" 
+        and params["page_name"]="diary_detail" and partition_date = '20190801'
+       """
+        df = spark.sql(sql)
 
 
 
@@ -40,39 +41,37 @@ def con_sql(db,sql):
     db.close()
     return df
 
+def write_redis(device_id,cid_list):
+
+    db = pymysql.connect(host='172.16.40.158', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='eagle')
+    sql = "select b.id from src_mimas_prod_api_diary_tags a left join src_zhengxing_api_tag b " \
+          "on a.tag_id = b.id where b.tag_type = '3' and a.diary_id in {}".format(tuple(cid_list))
+    cursor = db.cursor()
+    cursor.execute(sql)
+    result = cursor.fetchall()
+    tags = list(set([i[0] for i in result]))
+    if tags is not None:
+        sql = "select a.id from src_mimas_prod_api_diary a left join src_mimas_prod_api_diary_tags b " \
+              "on a.id=b.diary_id left join src_zhengxing_api_tag c on b.tag_id=c.id " \
+              "where a.is_online = 1 and a.content_level >= '3' " \
+              "and c.id in {} and c.tag_type = '3'".format(tuple(tags))
+        cursor.execute(sql)
+        result = cursor.fetchall()
+        if result is not None:
+            cids = list(set([i[0] for i in result]))
+            r = redis.StrictRedis.from_url('redis://:ReDis!GmTx*0aN6@172.16.40.133:6379')
+            key = str(device_id) + "_dislike_diary"
+            if r.exists(key):
+                value = eval(r.get(key))
+                value.extend(cids)
+                cids = json.dumps(list(set(value)))
+            r.set(key, json.dumps(cids))
+
 if __name__ == '__main__':
-        # sparkConf = SparkConf().set("spark.hive.mapred.supports.subdirectories", "true") \
-        #         .set("spark.hadoop.mapreduce.input.fileinputformat.input.dir.recursive", "true") \
-        #         .set("spark.tispark.plan.allow_index_double_read", "false") \
-        #         .set("spark.tispark.plan.allow_index_read", "true") \
-        #         .set("spark.sql.extensions", "org.apache.spark.sql.TiExtensions") \
-        #         .set("spark.tispark.pd.addresses", "172.16.40.158:2379").set("spark.io.compression.codec", "lzf") \
-        #         .set("spark.driver.maxResultSize", "8g")
-        #
-        # spark = SparkSession.builder.config(conf=sparkConf).enableHiveSupport().getOrCreate()
-        # ti = pti.TiContext(spark)
-        # ti.tidbMapDatabase("jerry_test")
-        # spark.sparkContext.setLogLevel("WARN")
-        # sql = "select stat_date,cid_id,y,ccity_name from esmm_train_data limit 60"
-        # spark.sql(sql).show(6)
-        sql = "select level2_id,concat('t',treatment_method)," \
-              "concat('min',price_min),concat('max',price_max)," \
-              "concat('tr',treatment_time),concat('m',maintain_time)," \
-              "concat('r',recover_time) from jerry_test.train_Knowledge_network_data"
-        db = pymysql.connect(host='172.16.40.158', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test')
-        df = con_sql(db, sql)
-        df = df.rename(columns={0: "level2_id", 1: "treatment_method",2:"price_min",3:"price_max",4:"treatment_time",
-                           5:"maintain_time",6:"recover_time"})
-        print(df.head(6))
-        host = '172.16.40.158'
-        port = 4000
-        user = 'root'
-        password = '3SYz54LS9#^9sBvC'
-        db = 'jerry_test'
-        charset = 'utf8'
-        engine = create_engine(str(r"mysql+pymysql://%s:" + '%s' + "@%s:%s/%s") % (user, password, host, port, db))
-        df.to_sql('knowledge', con=engine, if_exists='append', index=False, chunksize=8000)
-        print("insert done")
+        a = [15202811, 15825403, 16480766, 15432195, 15759876]
+        d = "E417C286-40A4-42F6-BDA9-AEEBD8FEC3B6"
+        write_redis(d, a)
+