Ejemplos de R_ADMIN.hset en Python

Ejemplo n.º 1

Archivo: read_sensitive_words.py Proyecto: ibs9668/sensitive_user_portrait

# -*- coding:utf-8 -*-
from openpyxl import load_workbook
import redis
import random
import json
import sys

reload(sys)
sys.path.append('../')
from global_utils import R_ADMIN as r

data = load_workbook('sensitive_words.xlsx')
table = data.get_sheet_by_name('Sheet2')
category = ['政治', '军事', '法律', '意识形态', '民运']
#print table.cell('A1').value
for i in range(1, 549):
    word = table.cell(row=i, column=0).value
    level = table.cell(row=i, column=1).value
    index = random.randint(0, 4)
    r.hset('sensitive_words', word, json.dumps([level, category[index]]))

#r.hset('recommend_sensitive_words_20130901', '洪秀柱', json.dumps([['1093622153', '3270699555'], 3]))
#r.hset('recommend_sensitive_words_20130901', '港灿', json.dumps([['1686546714'], 1]))
#r.hset('recommend_sensitive_words_20130901', '钟屿晨', json.dumps([['1887344341', '3183040584'], 2]))

Ejemplo n.º 2

# -*- coding:utf-8 -*-

from openpyxl import load_workbook
import redis
import json
import sys

reload(sys)
sys.path.append('../../')
from global_utils import R_ADMIN as r
#r = redis.StrictRedis(host="10.128.55.69", port="6379", db=15)
data = load_workbook('sensitive_words.xlsx')
table = data.get_sheet_by_name('Sheet2')
for i in range(1, 549):
    word = table.cell(row=i, column=0).value
    level = table.cell(row=i, column=1).value
    r.hset('sensitive_words', word, level)
print r.hkeys('sensitive_words')

Ejemplo n.º 3

Archivo: read_sensitive_words.py Proyecto: jianjian0dandan/sensitive_user_portrait

# -*- coding:utf-8 -*-
from openpyxl import load_workbook
import redis
import random
import json
import sys
reload(sys)
sys.path.append('../')
from global_utils import R_ADMIN as r

data = load_workbook('sensitive_words.xlsx')
table = data.get_sheet_by_name('Sheet2')
category = ['政治', '军事', '法律', '意识形态', '民运']
#print table.cell('A1').value
for i in range(1,549):
    word = table.cell(row=i, column=0).value
    level = table.cell(row=i, column=1).value
    index = random.randint(0,4)
    r.hset('sensitive_words', word, json.dumps([level, category[index]]))

#r.hset('recommend_sensitive_words_20130901', '洪秀柱', json.dumps([['1093622153', '3270699555'], 3]))
#r.hset('recommend_sensitive_words_20130901', '港灿', json.dumps([['1686546714'], 1]))
#r.hset('recommend_sensitive_words_20130901', '钟屿晨', json.dumps([['1887344341', '3183040584'], 2]))

Ejemplo n.º 4

Archivo: read_sensitive_words.py Proyecto: SwoJa/ruman

# -*- coding:utf-8 -*-

from openpyxl import load_workbook
import redis
import json
import sys
reload(sys)
sys.path.append('../../')
from global_utils import R_ADMIN as r
#r = redis.StrictRedis(host="10.128.55.69", port="6379", db=15)
data = load_workbook('sensitive_words.xlsx')
table = data.get_sheet_by_name('Sheet2')
for i in range(1,549):
    word = table.cell(row=i, column=0).value
    level = table.cell(row=i, column=1).value
    r.hset('sensitive_words',word, level)
print r.hkeys('sensitive_words')

Ejemplo n.º 5

Archivo: read_sensitive_words.py Proyecto: zhangxiangyuu/user_portrait_ending2

# -*- coding:utf-8 -*-

from openpyxl import load_workbook
import redis
import json
import sys
reload(sys)
sys.path.append('../../')
from global_utils import R_ADMIN as r
#r = redis.StrictRedis(host="10.128.55.69", port="6379", db=15)
"""
data = load_workbook('sensitive_words.xlsx')
table = data.get_sheet_by_name('Sheet2')
for i in range(1,549):
    word = table.cell(row=i, column=0).value
    level = table.cell(row=i, column=1).value
    r.hset('sensitive_words',word, level)
print r.hkeys('sensitive_words')
"""
r.hset("sensitive_words", ("疫苗之殇").decode('utf-8').encode('utf-8'), 1)