我是一个新手,但我认为我的工作 - 在有限的意义上。基本上,对于1的池,代码继续进行,而对于较大的池,代码会卡住,通常在第一个池中(例如,池为5,我看到3个greenlet完成,但不是更多)。出了什么问题?产卵?加入?
我无法验证远程服务器是否被多个查询混淆,但是对于快速序列的串行请求没有问题,所以可能不会...
(我完整地分享了代码,因为我不确定错误在哪里。感谢您对我的承诺。)
from urllib2 import urlopen
from lxml.etree import parse
import os, csv, cStringIO, codecs, pickle
from selenium import webdriver
from time import sleep
import gevent
from gevent import socket
from gevent import monkey, pool
# patches stdlib (including socket and ssl modules) to cooperate with other greenlets
monkey.patch_all()
class UnicodeWriter:
"""
A CSV writer which will write rows to CSV file "f",
which is encoded in the given encoding.
"""
def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds):
# Redirect output to a queue
self.queue = cStringIO.StringIO()
self.writer = csv.writer(self.queue, dialect=dialect, **kwds)
self.stream = f
self.encoder = codecs.getincrementalencoder(encoding)()
def writerow(self, row):
self.writer.writerow([unicode(s).encode("utf-8") for s in row])
# Fetch UTF-8 output from the queue ...
data = self.queue.getvalue()
data = data.decode("utf-8")
# ... and reencode it into the target encoding
data = self.encoder.encode(data)
# write to the target stream
self.stream.write(data)
# empty queue
self.queue.truncate(0)
def writerows(self, rows):
for row in rows:
self.writerow(row)
os.chdir('/Users/laszlosandor/Downloads/kozbeszerzes')
HOSTNAME = 'http://kozbeszerzes.ceu.hu'
driver = webdriver.Chrome()
results = set()
for y in xrange(1998,2015):
for p in xrange(0,9999):
driver.get('http://kozbeszerzes.ceu.hu/searchresults.xhtml?q={}&page={}'.format(y,p))
sleep(1)
if len(driver.find_elements_by_class_name('result'))==0:
break
for e in driver.find_elements_by_class_name('result'):
link = e.find_element_by_tag_name('a')
r = link.get_attribute('href').encode('ascii', 'ignore')
if r[:34]== 'http://kozbeszerzes.ceu.hu/tender/':
results.add(r)
driver.quit()
with open('list_of_urls', 'wb') as f:
pickle.dump(results, f)
#with open('list_of_urls', 'r') as f:
# results = pickle.load(f)
entities = set()
header = ('TenderID','RequestorName','URL','Year','RequestorID','Subject','SourceURL','EstValue','Currency','DecisionDate','Value','VAT')
# """Spawn multiple workers and wait for them to complete"""
# # limit ourselves to max 10 simultaneous outstanding requests
p = pool.Pool(10)
f = open('tenders.csv', 'w')
f.write(codecs.BOM_UTF8)
writer = UnicodeWriter(f)
writer.writerow(header)
def workres(res):
try:
tender = parse(urlopen(res)).getroot()
print ('%s succeeded' % res)
for requestor in tender.findall('requestor'):
entities.add(HOSTNAME + requestor.get('url'))
id = tender.get('id')
reqname = tender.get('requestor')
url = tender.get('url')
year = tender.get('year')
reqid = tender.get('requestor_id')
subject = tender.get('subject')
source = tender.get('source_url')
estval = tender.get('estimated_value')
for part in tender.findall('./parts/part'):
winner = part.find('winner')
entities.add(HOSTNAME + winner.get('url'))
curr = part.find('currency').text
date = part.find('decisionDate').text
value = part.find('value').text
vat = part.find('vat').text
row = id, reqname, url, year, reqid, subject, source, estval, curr, date, value, vat
writer.writerow(row)
except socket.gaierror:
ex = sys.exc_info()[1]
print ('%s failed with %s' % (res, ex))
jobs = [p.spawn(workres, res) for res in results]
p.join()
f.close()
with open('entities', 'wb') as f:
pickle.dump(entities, f)
header = ['ID','URL','Name','NominalCity','City', 'ZIP', 'Address']
f = open('entities.csv', 'w')
f.write(codecs.BOM_UTF8)
writer = UnicodeWriter(f)
writer.writerow(header)
def workent(ent):
try:
ent = parse(urlopen(ent)).getroot()
print ('%s succeeded' % ent)
id = ent.get('id')
url = ent.get('url')
name = ent.get('name')
nominalcity = ent.get('city')
cities = ent.findall('./resolved_addresses/whitelistAddress/city')
zips = ent.findall('./resolved_addresses/whitelistAddress/postalCode')
streets = ent.findall('./resolved_addresses/whitelistAddress/street')
for a in xrange(0,len(cities)):
city = cities[a].text
zip = zips[a].text
street = streets[a].text
row = id, url, name, nominalcity, city, zip, street
writer.writerow(row)
except socket.gaierror:
ex = sys.exc_info()[1]
print ('%s failed with %s' % (ent, ex))
jobs = [p.spawn(workent, ent) for ent in entities]
p.join()
f.close()
答案 0 :(得分:0)
我在这里看到很多错误。
gevent.sleep()
而不是time.sleep
阻塞。 使用较少的列表标准只写出循环。
我建议只在“解析(urlopen())”周围放置'workres'以外的try 代码可能会发生更多异常,您现在看不到。