# -*- coding: utf-8 -*-
'''测试简单搜索的时间
对比LNC和专题简单搜索改前和改后的性能
'''
import time
from libs.parameter import generateEnv
from lnc.search.advanced.title import Title
# 读取关键词列表
keywordFile = "input/keywords.txt"
keywordList = [unicode(x.strip(), "utf-8") for x in open(keywordFile, "r")]
# 下面是LNC的简单搜索测试
oldFeatureBrs = Title(generateEnv('point'))
oldFeatureBrs.login()
newFeatureBrs = Title(generateEnv('stg2'))
newFeatureBrs.login()
time.sleep(5)
allTime = [0, 0]
MAX_LOOP = 3
for i, keyword in enumerate(keywordList):
if i >= MAX_LOOP:
break
print i, keyword,
t = [[], []]
for j in range(5):
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import time
from libs.parameter import generateEnv
from lnc.lnc_simple_search import LncSimpleSearchResult
from libs import tools
# 读取关键词列表
keywordFile = "top1000keyword.csv"
keywordList = [unicode(x.strip(), "utf-8") for x in open(keywordFile, "r")]
kevinParams = generateEnv('alpha')
newFeatureBrs = LncSimpleSearchResult(kevinParams)
newFeatureBrs.login()
time.sleep(1)
kevinTestParams = generateEnv('kevintest')
oldFeatureBrs = LncSimpleSearchResult(kevinTestParams)
oldFeatureBrs.login()
outputFile = open("reports/new-old-top-1000-compare-list.csv", "a")
for i, keyword in enumerate(keywordList):
print i, keyword
newFeatureTitles = newFeatureBrs.get_results_list(keyword)
oldFeatureTitles = oldFeatureBrs.get_results_list(keyword)
cmpRes = tools.compare_list(newFeatureTitles, oldFeatureTitles)
csv_line = tools.generate_csv_list(keyword, cmpRes, newFeatureTitles, oldFeatureTitles)
# -*- coding: utf-8 -*-
'''把前1000个关键词的搜索结果保存，为以后的搜索调整做对比'''
import time
from libs.parameter import generateEnv
from lnc.search.simple import Simple
simple = Simple(generateEnv('alpha'))
simple.login()
time.sleep(5)
keyword_file = 'input/keywords.txt'
keywords = [unicode(k.strip(), 'utf-8') for k in open(keyword_file, 'r')]
output = open('output/after-adjust.csv', 'a')
b = 1
for keyword in keywords:
res = simple.get_results_list(keyword)
if res:
lines = map(None, (keyword,), (res['total'],), (res['time'],), res['title'])
for l in lines:
line = [x if x is not None else u'' for x in l]
output.write("%s|%s|%s|%s\n" % tuple(line))
output.write("\n")
output.flush()
simple.close(logout=True)
#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''测试简单搜索的时间
对比专题简单搜索改前和改后的性能
'''
import time
from libs.parameter import generateEnv
from module.search import Simple
# 读取关键词列表
keywordFile = "top1000keyword.csv"
keywordList = [unicode(x.strip(), "utf-8") for x in open(keywordFile, "r")]
oldModuleSimpleSearch = Simple(generateEnv('point'))
oldModuleSimpleSearch.login()
newModuleSimpleSearch = Simple(generateEnv('stg2'))
newModuleSimpleSearch.login()
time.sleep(5)
allTime = [0, 0]
MAX_LOOP = 50
for i, keyword in enumerate(keywordList):
if i >= MAX_LOOP:
break
print i, keyword,
t = [[], []]
for j in range(5):
from cases.entity import lnc_simple_search
from libs.parameter import generateEnv
kevinParams = generateEnv('alpha')
lnc_simple_search.run(kevinParams)
# -*- coding: utf-8 -*-
'''测试简单搜索的时间
对比LNC和专题简单搜索改前和改后的性能
'''
import time
from libs.parameter import generateEnv
from lnc.lnc_simple_search import LncSimpleSearchResult
# 读取关键词列表
keywordFile = "top1000keyword.csv"
keywordList = [unicode(x.strip(), "utf-8") for x in open(keywordFile, "r")]
# 下面是LNC的简单搜索测试
oldFeatureBrs = LncSimpleSearchResult(generateEnv('point'))
oldFeatureBrs.login()
newFeatureBrs = LncSimpleSearchResult(generateEnv('stg2'))
newFeatureBrs.login()
time.sleep(5)
allTime = [0, 0]
MAX_LOOP = 50
for i, keyword in enumerate(keywordList):
if i >= MAX_LOOP:
break
print i, keyword,
t = [[], []]
for j in range(5):
# -*- coding: utf-8 -*-
'''测试简单搜索的时间
对比LNC和专题简单搜索改前和改后的性能
'''
import time
from libs.parameter import generateEnv
from module.search.advanced.title import Title
# 读取关键词列表
keywordFile = "input/keywords.txt"
keywordList = [unicode(x.strip(), "utf-8") for x in open(keywordFile, "r")]
# 下面是LNC的简单搜索测试
oldFeatureBrs = Title(generateEnv('kevintest'))
oldFeatureBrs.login()
newFeatureBrs = Title(generateEnv('alpha'))
newFeatureBrs.login()
time.sleep(5)
allTime = [0, 0]
MAX_LOOP = 1
for i, keyword in enumerate(keywordList):
if i >= MAX_LOOP:
break
print i, keyword,
t = [[], []]
for j in range(5):
