class ScoreSpider(Spider):
name = 'score'
def __init__(self, *args, **kwargs):
super(ScoreSpider, self).__init__(*args, **kwargs)
self.contentprocessor = ContentProcessor(skip_text=False)
self.job_config = {'disabled': True}
self.classifier = None
self.result_cb = None
def set_process_info(self, process_info):
self.process_info = process_info
def set_result_callback(self, func):
self.result_cb = func
def configure(self, job_config):
self.job_config = job_config
if 'disabled' not in job_config:
self.classifier = TopicClassifier.from_keywords(
job_config['included'], job_config['excluded'])
def spider_idle(self):
self.log("Spider idle signal caught.")
raise DontCloseSpider
@classmethod
def from_crawler(cls, crawler, *args, **kwargs):
spider = cls(*args, **kwargs)
spider._set_crawler(crawler)
spider.crawler.signals.connect(spider.spider_idle,
signal=signals.spider_idle)
return spider
def make_requests_from_url(self, url):
r = super(ScoreSpider, self).make_requests_from_url(url)
r.meta['score'] = self.get_score(r)
return r
def get_score(self, r):
url_parts = urlparse_cached(r)
path_parts = url_parts.path.split('/')
return 1.0 / (len(path_parts) + 0.05 * len(r.url))
def parse(self, response):
pc = self.contentprocessor.process_response(response)
if not pc:
return
if not self.classifier:
raise Exception("Classifier not configured")
response.meta['p_score'] = self.classifier.score_paragraphs(
pc.paragraphs)
response.meta['title'] = pc.title
response.meta['descr'] = pc.meta_description
response.meta['keywords'] = pc.meta_keywords
if response.meta['p_score'] > 0:
self.result_cb({
'score': response.meta['p_score'],
'url': response.url,
'title': response.meta['title'],
'descr': response.meta['descr'],
'keywords': response.meta['keywords']
})
for link in pc.links:
r = Request(url=link.url)
r.meta.update(link_text=link.text)
r.meta['score'] = self.get_score(r)
yield r
class ScoreSpider(Spider):
name = 'score'
def __init__(self, *args, **kwargs):
super(ScoreSpider, self).__init__(*args, **kwargs)
self.contentprocessor = ContentProcessor(skip_text=False)
self.job_config = {'disabled': True}
self.classifier = None
self.result_cb = None
def set_process_info(self, process_info):
self.process_info = process_info
def set_result_callback(self, func):
self.result_cb = func
def configure(self, job_config):
self.job_config = job_config
if 'disabled' not in job_config:
self.classifier = TopicClassifier.from_keywords(job_config['included'], job_config['excluded'])
def spider_idle(self):
self.log("Spider idle signal caught.")
raise DontCloseSpider
@classmethod
def from_crawler(cls, crawler, *args, **kwargs):
spider = cls(*args, **kwargs)
spider._set_crawler(crawler)
spider.crawler.signals.connect(spider.spider_idle, signal=signals.spider_idle)
return spider
def make_requests_from_url(self, url):
r = super(ScoreSpider, self).make_requests_from_url(url)
r.meta['score'] = self.get_score(r)
return r
def get_score(self, r):
url_parts = urlparse_cached(r)
path_parts = url_parts.path.split('/')
return 1.0 / (len(path_parts) + 0.05*len(r.url))
def parse(self, response):
pc = self.contentprocessor.process_response(response)
if not pc:
return
if not self.classifier:
raise Exception("Classifier not configured")
response.meta['p_score'] = self.classifier.score_paragraphs(pc.paragraphs)
response.meta['title'] = pc.title
response.meta['descr'] = pc.meta_description
response.meta['keywords'] = pc.meta_keywords
if response.meta['p_score'] > 0:
self.result_cb({
'score': response.meta['p_score'],
'url': response.url,
'title': response.meta['title'],
'descr': response.meta['descr'],
'keywords': response.meta['keywords']
})
for link in pc.links:
r = Request(url=link.url)
r.meta.update(link_text=link.text)
r.meta['score'] = self.get_score(r)
yield r
def __init__(self, *args, **kwargs):
super(ScoreSpider, self).__init__(*args, **kwargs)
self.contentprocessor = ContentProcessor(skip_text=False)
self.job_config = {'disabled': True}
self.classifier = None
self.result_cb = None
def __init__(self, *args, **kwargs):
super(ScoreSpider, self).__init__(*args, **kwargs)
self.contentprocessor = ContentProcessor(skip_text=False)
self.job_config = {'disabled': True}
self.classifier = None
self.result_cb = None
