scrapy进阶开发(三):去重策略
2018-03-01 本文已影响39人
9c0ddf06559c
流程
1. 在Engine拿到request发送给scheduler之前,需要先判断下当前请求是否被过滤
# 源码位置scrapy.core.engine.ExecutionEngine
class ExecutionEngine(Object):
def schedule(self, request, spider):
self.signals.send_catch_log(signal=signals.request_scheduled,
request=request, spider=spider)
这里调用scheduler的enqueue_request方法做判断,具体见2
if not self.slot.scheduler.enqueue_request(request):
self.signals.send_catch_log(signal=signals.request_dropped,
request=request, spider=spider)
2. 判断下当前请求是否被过滤的逻辑由scheduler的enqueue_request方法判断
# 源码位置 scrapy.core.scheduler.Scheduler
class Scheduler(object):
def __init__(self, dupefilter, jobdir=None, dqclass=None, mqclass=None,
logunser=False, stats=None, pqclass=None):
# dupefilter 为具体过滤器,见3.
self.df = dupefilter
self.dqdir = self._dqdir(jobdir)
self.pqclass = pqclass
self.dqclass = dqclass
self.mqclass = mqclass
self.logunser = logunser
self.stats = stats
...
...
...
def enqueue_request(self, request):
# self.df.request_seen 为过滤器中具体执行过滤的方法逻辑
# 如果request设置了非不过滤(即过滤,双重否定表肯定)并且该request经过判断以后的确需要过滤,则打印任职并返回False
if not request.dont_filter and self.df.request_seen(request):
self.df.log(request, self.spider)
return False
if self.stats:
self.stats.inc_value('scheduler/enqueued/redis', spider=self.spider)
self.queue.push(request)
return True
3. scrapy的去重器 在 scrapy/dupefilters.py
里
# 去重启基类,定义了去重器需要实现的方法
class BaseDupeFilter(object):
@classmethod
def from_settings(cls, settings):
return cls()
def request_seen(self, request):
return False
def open(self): # can return deferred
pass
def close(self, reason): # can return a deferred
pass
def log(self, request, spider): # log that a request has been filtered
pass
# scrapy中默认的去重器
class RFPDupeFilter(BaseDupeFilter):
"""Request Fingerprint duplicates filter"""
def __init__(self, path=None, debug=False):
self.file = None
# 一个指纹集合,利用到了set的特性,不重复
self.fingerprints = set()
self.logdupes = True
self.debug = debug
self.logger = logging.getLogger(__name__)
# 这里会判断是否设置了jobdir,如果设置了,则会将去重结合写入到jobdir目录,具体见《scrapy进阶开发(二):暂停与重启》一文
if path:
self.file = open(os.path.join(path, 'requests.seen'), 'a+')
self.file.seek(0)
self.fingerprints.update(x.rstrip() for x in self.file)
@classmethod
def from_settings(cls, settings):
# settings中将DUPEFILTER_DEBUG设置为true可以开启过滤debug信息的打印
debug = settings.getbool('DUPEFILTER_DEBUG')
return cls(job_dir(settings), debug)
def request_seen(self, request):
# 为request生成一个指纹
fp = self.request_fingerprint(request)
# 判断当前指纹是否在集合中
if fp in self.fingerprints:
# 如果在返回True代表当前request已经被处理过应该过滤掉
return True
# 否则添加到set中
self.fingerprints.add(fp)
# 如果jobdir文件存在,则写入
if self.file:
self.file.write(fp + os.linesep)
# request_fingerprint方法在scrapy.utils.request里,
# 使用了sha1算法为每一个request生成一个固定长度的hash值
def request_fingerprint(self, request):
return request_fingerprint(request)
# 关闭方法
def close(self, reason):
if self.file:
self.file.close()
# 记录日志的方法封装
def log(self, request, spider):
if self.debug:
msg = "Filtered duplicate request: %(request)s"
self.logger.debug(msg, {'request': request}, extra={'spider': spider})
elif self.logdupes:
msg = ("Filtered duplicate request: %(request)s"
" - no more duplicates will be shown"
" (see DUPEFILTER_DEBUG to show all duplicates)")
self.logger.debug(msg, {'request': request}, extra={'spider': spider})
self.logdupes = False
spider.crawler.stats.inc_value('dupefilter/filtered', spider=spider)
request_seen
enqueue_request