Python generateEnv 예제들

예제 #1

파일: lnc_adv_search_time.py 프로젝트: kevindragon/lnc_testing

# -*- 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):

예제 #2

파일: main.py 프로젝트: kevindragon/lnc_testing

#!/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)
    

예제 #3

파일: preserve_results.py 프로젝트: kevindragon/lnc_testing

# -*- 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)

예제 #4

파일: module_simple_search_time.py 프로젝트: kevindragon/lnc_testing

#!/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):

예제 #5

파일: entity_testing.py 프로젝트: kevindragon/lnc_testing

from cases.entity import lnc_simple_search
from libs.parameter import generateEnv


kevinParams = generateEnv('alpha')
lnc_simple_search.run(kevinParams)

예제 #6

파일: lnc_simple_search_time.py 프로젝트: kevindragon/lnc_testing

# -*- 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):

예제 #7

파일: module_adv_search_time.py 프로젝트: kevindragon/lnc_testing

# -*- 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):