本文整理汇总了Python中scrapy.http.request.Request.meta['symptom_item']方法的典型用法代码示例。如果您正苦于以下问题：Python Request.meta['symptom_item']方法的具体用法？Python Request.meta['symptom_item']怎么用？Python Request.meta['symptom_item']使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类scrapy.http.request.Request的用法示例。
在下文中一共展示了Request.meta['symptom_item']方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: parse_symptom
# 需要导入模块: from scrapy.http.request import Request [as 别名]
# 或者: from scrapy.http.request.Request import meta['symptom_item'] [as 别名]
def parse_symptom(self, response):
"""解析【症状】页面"""
symptom_item = SymptomItem()
symptom_item['url'] = response.url
symptom_item['name'] = response.xpath('//div[@id="m_1"]/div[@class="p_sibox1 p_siboxbor"]/div[@class="p_sititile"]/span/h1/text()').extract()[0]
_related = response.xpath('//div[@id="yw3"]/div/div')
symptom_item['related_diseases'] = _related.xpath('ul/li/a[contains(@href, "/jibing/")]/@title').extract()
# symptom_item['related_symptoms'] = _related.xpath('ul/li/a[contains(@href, "/zhengzhuang/")]/@title').extract()
# print symptom_item['related_diseases'], symptom_item['related_symptoms']
# print symptom_item
yield symptom_item
# Go on parsing details
detail_urls = response.xpath('//dl[@class="p_sibox1dl clears"]/dt/a/@href').extract()
detail_urls += response.xpath('//ul[@class="p_sibox2ul clears"]/li/a[1]/@href').extract()
# print detail_urls
for url in detail_urls:
request = Request(url=url, dont_filter=True, callback=self._parse_symptom_detail)
request.meta['symptom_item'] = symptom_item
yield request
# Go on parsing questions
question_url = response.xpath('//div[@class="p_sibox4 p_siboxbor"]/div[@class="p_sititile"]/a/@href').extract()[0]
request = Request(url=question_url, dont_filter=True, callback=self._parse_symptom_question)
request.meta['symptom_item'] = symptom_item
# print request
yield request