我尝试制作一个小脚本,将GET请求发送给拥有多个IP地址的主机。
到目前为止,我能够让脚本一次性(同一时间)发送带有这些不同IP的GET请求,是否有一种简单的方法来提供它,所以我提供了IP列表,它会发送请求IP#1然后下一个请求IP#2等。
Ps:这里是完整的代码,所以你可以理解我的问题,如果你想改进它,你也可以让我知道:)
感谢您的帮助! :d
#!/usr/bin/env python
import requests
import ujson
import time
import random
url = 'site'
headeR = {'Host': 'site.com'}
while 1:
hosts = ['X.X.X.235', 'X.X.X.94', 'X.X.X.191', 'X.X.X.247']
cnt = 0
while cnt<len(hosts):
currentUrl = url.replace("site.com", hosts[cnt])
cnt += 1
r = requests.get(currentUrl , headers=headeR)
listingInfoStr = r.content
result= ujson.loads(listingInfoStr)
listingInfoJson= result['listinginfo']
if listingInfoJson:
for key, value in listingInfoJson.iteritems():
#print("key %s, value %s" % (key, value))
listingId = key
try:
subTotal = value["converted_price_per_unit"]
feeAmount = value["converted_fee_per_unit"]
except KeyError:
continue
totalPrice = subTotal + feeAmount
totalPriceFloat = float(totalPrice) / 100
print("listingId %s = [ %s + %s = %s ]" % (listingId, subTotal, feeAmount, totalPrice))
else:
print "Still Looking"
time.sleep(25)
答案 0 :(得分:1)
如果您可以向单个主机发出请求,则可以轻松地按顺序向不同主机发出多个请求:
import time
def query_listing_info(hosts):
for host in hosts:
info = get_listing_info(host)
if not info:
print "Still looking"
else:
for listing_id, sub_total, fee_amount in parse_listing_info(info):
total_price = sub_total + fee_amount
print("listingId {listing_id} = [ {sub_total} + {fee_amount} = "
" {total_price} ]".format(**vars()))
hosts = ['x.x.x.x', 'y.y.y.y']
while 1:
query_listing_info(hosts)
time.sleep(25) # pause requests
其中get_listing_info(host)
向host
发出单一请求:
import urlparse
import requests
parsed_url = urlparse.urlsplit('http://example.com/render/')
params = {'start': '0', 'count': '1', 'currency': '20', 'country': 'CDN'}
def get_listing_info(host):
url = urlparse.urlunsplit(parsed_url[:1] + (host,) + parsed_url[2:])
r = requests.get(url, headers={'Host': parsed_url.netloc}, params=params)
return r.json().get('listinginfo')
和parse_listing_info(info)
提取必要的信息:
def parse_listing_info(listing_info):
for id, info in listinginfo.iteritems():
try:
yield id, info["converted_price_per_unit"], info["converted_fee_per_unit"]
except KeyError:
pass