def save_to_es(self):
article = ArticleType()
article.title = self['title']
article.create_date = self["create_date"]
article.content = remove_tags(self["content"])
article.front_image_url = self["front_image_url"]
if "front_image_path" in self:
article.front_image_path = self["front_image_path"]
article.praise_nums = self["praise_nums"]
article.fav_nums = self["fav_nums"]
article.comment_nums = self["comment_nums"]
article.url = self["url"]
article.tags = self["tags"]
article.meta.id = self["url_object_id"]
# article.suggest = [{"input":[], "weight":2}]
article.suggest = gen_suggests(ArticleType._doc_type.index,
((article.title, 10),
(article.tags, 7)))
article.save()
redis_cli.incr("jobble_count")
return
def save_to_es(self):
job = ArticleType()
job.url = self['url']
job.url_object_id = self['url_object_id']
job.title = self['title']
job.salary = self['salary']
job.job_city = self['job_city']
job.work_years = self['work_years']
job.degree_need = self['degree_need']
job.job_type = self['job_type']
if self['publish_time']:
job.publish_time = self['publish_time']
job.tags = self['tags']
job.job_advantage = self['job_advantage']
job.job_desc = self['job_desc']
job.job_addr = self['job_addr']
job.company_url = self['company_url']
job.company_name = self['company_name']
job.crawl_time = self['crawl_time']
#job.crawl_update_time = self['crawl_update_time']
job.suggest = gen_suggests(ArticleType._doc_type.index,
((job.title, 10), (job.tags, 7)))
job.save()
redis_cli.incr("lagou_count")
return
def save_to_es(self):
article = ArticleType()
article.title = self["title"]
article.url = self["url"]
article.front_image_url = self["front_image_url"]
if "front_image_path" in self:
article.front_image_path = self["front_image_path"]
article.type = self["type"]
article.size = self["size"]
article.update_time = self["update_time"]
article.content = remove_tags(self["content"])
article.tag = self["tag"]
article.fav_nums = self["fav_nums"]
if "download_urls" in self:
article.download_urls = self["download_urls"]
article.meta.id = self["url_object_id"]
article.suggest = gen_suggestions(ArticleType._doc_type.index,
((article.title, 10),
(article.tag, 7)))
article.save()
#redis_cli.incr("lcsoft_count")
return
def save_to_es(self):
article = ArticleType()
article.title = self['title']
article.create_date = self['create_date']
article.content = remove_tags(self['content'])
article.front_image_url = self['front_image_url']
if 'front_image_path' in self:
article.front_image_path = self['front_image_path']
article.praise_nums = self['praise_nums']
article.fav_nums = self['fav_nums']
article.comment_nums = self['comment_nums']
article.url = self['url']
article.tags = self['tags']
article.meta.id = self['url_object_id']
article.suggest = gen_suggests(ArticleType._doc_type.index,
((article.title, 10),
(article.tags, 7)))
#article.suggest = gen_suggests(ArticleType._doc_type.index,((article.title,10),(article.tags,7)))
article.save() #save into elastics search after called in pipelines
#全局变量 redis and then test
redis_cli.incr("jobbole_count") #automatic +1 from 1
return
def save_to_es(self):
article = ArticleType()
article.title = self['title']
article.times = self['times']
article.redianzang = self['redianzang']
article.shoucang = self['shoucang']
article.pinglun = self['pinglun']
article.context = remove_tags(self['context'])
print(article.context)
article.url = self['url']
# 建议词在es中的格式[{"input":[],"weight":2}]
article.suggest = gen_suggests(ArticleType._doc_type.index,
((article.title, 10),
(article.context, 7)))
article.save()
return
def save_to_es(self):
# 将item转换为es的数据
article = ArticleType()
article.title = self['title']
article.create_time = self['create_time']
article.content = remove_tags(self['content'])
article.front_image_url = self['front_image_url']
if "front_image_path" in self:
article.front_image_path = self['front_image_path']
article.praise_num = self['praise_num']
article.fav_num = self['fav_num']
article.comment_num = self['comment_num']
article.url = self['url']
article.tags = self['tags']
article.meta.id = self['url_object_id']
article.suggest=gen_suggests(ArticleType._doc_type.index,((article.title,10),(article.tags,7)))
article.save()
redis_cli.incr("jobbole_count")
return
def save_to_es(self):
article = ArticleType()
article.title = self['title']
article.create_date = self['create_date']
article.content = remove_tags(self['content'])
if 'front_image_path' in self:
article.front_image_path = self['front_image_path']
article.front_image_url = self['front_image_url']
article.praise_nums = self['praise_nums']
article.fav_nums = self['fav_nums']
article.comment_nums = self['comment_nums']
article.url = self['url']
article.tags = self['tags']
article.meta.id = self['url_object_id']
article.suggest = gen_suggests(ArticleType._doc_type.index,((article.title,10),(article.tags,7)))
article.save()
return
def save_to_es(self):
article = ArticleType()
article.title = self["title"]
article.create_date = self["create_date"]
article.content = remove_tags(self["content"])
article.front_image_url = self["front_image_url"]
if "front_image_path" in self:
article.front_image_path = self["front_image_path"]
article.praise_nums = self["praise_nums"]
article.comment_nums = self["comment_nums"]
article.fav_nums = self["fav_nums"]
article.url = self["url"]
article.tags = self["tags"]
article.meta.id = self["url_object_id"]
article.suggest = gen_suggests(ArticleType._doc_type.index,
((article.title, 10),
(article.tags, 7)))
article.save()
return
def process_item(self, item, spider):
article = ArticleType()
article.title = item["title"]
article.url = item["url"]
article.front_image_path = item.get("front_image_path")
article.front_image_url = item["front_image_url"]
article.create_date = item["create_date"]
article.praise_nums = item["praise_nums"]
article.fav_nums = item["fav_nums"]
article.comment_nums = item["comment_nums"]
article.tag = item["tag"]
article.content = remove_tags(item["content"])
article.meta.id = item["url_object_id"]
article.suggest = self.get_suggest(ArticleType._doc_type.index,
((article.title, 10),
(article.tag, 7)))
article.save()
return item
def save2elastic(self):
# 将item转换为es数据
article = ArticleType()
article.title = self["title"]
article.url_object_id = self["url_object_id"]
article.url = self["url"]
article.front_image_url = self["front_image_url"]
if "front_image_path" in self:
article.front_image_path = self["front_image_path"]
article.creat_date = self["creat_date"]
article.praise_num = self["praise_num"]
article.collect_num = self["collect_num"]
article.comment_num = self["comment_num"]
article.content = remove_tags(self["content"])
article.tags = self["tags"]
article.meta.id = self["url_object_id"]
article.suggest = gen_suggests(ArticleType._doc_type.index,
((article.title, 10),
(article.tags, 7)))
article.save()
def save_to_es(self):
article = ArticleType()
article.title = self['title']
article.create_date = self['create_date']
if "front_image_path" in self:
article.front_image_url = self["front_image_path"]
article.front_image_path = self["front_image_path"]
article.praise_nums = self["praise_nums"]
article.fav_nums = self["fav_nums"]
article.comment_nums = self["comment_nums"]
article.url = self["url"]
article.tags = self["tags"]
article.meta.id = self["url_object_id"]
article.suggest = gen_suggests(ArticleType._doc_type.index,
((article.title, 10),
(article.tags, 7)))
article.content = self["content"]
article.save()
# redis 记录插入item数
redis_cli.incr("jobbole_count")
return
def save_to_es(self):
# 将item转换为es的数据
article = ArticleType()
article.title = self["title"]
article.create_date = self["create_date"]
article.url = self["url"]
article.content = self["content"]
article.meta.id = self["url_object_id"]
article.front_image_url = self["front_image_url"]
if "front_image_path" in self:
article.front_image_path = self["front_image_path"]
article.tags = self["tags"]
article.suggest = gen_suggests(ArticleType._doc_type.index,
((article.title, 10),
(article.tags, 7)))
article.save()
return
def process_item(self, item, spider):
"""
将item转换为es的数据格式
:param item:
:param spider:
:return:
"""
# 初始化一个es的document
article = ArticleType()
# 将该条document的id设置为url_object_id
article.meta.id = item['url_object_id']
article.url = item['url']
article.title = item['title']
article.article_type = item['article_type']
article.data_source = item['data_source']
article.publish_time = item['publish_time']
article.abstract = item['abstract']
if item['tags']:
article.tags = item['tags']
else:
article.tags = '无'
# 热度计算公式
article.hot_score = 8 * item['comment_num'] + 3 * item[
'praise_num'] + 5 * item['collection_num'] + item['read_num']
# 传入的元组需要按权值从大到小排列
article.suggest = self.gen_suggests(ArticleType._doc_type.index,
((article.title, 10),
(article.article_type, 5),
(article.tags, 3)))
# 调用save方法直接存储到es中
article.save()
return item
def save_to_es(self):
article = ArticleType()
article.title = self['title']
article.create_date = self['create_date']
article.content = remove_tags(self['content'])
article.front_image_url = self['front_image_url']
article.front_image_path = self[
'front_image_path'] if "front_image_path" in self else None
article.praise_nums = self['praise_nums']
article.fav_nums = self['praise_nums']
article.comment_nums = self['praise_nums']
article.tags = self['tags']
article.url = self['url']
article.meta.id = self["url_object_id"]
article.suggest = gen_suggest(ArticleType,
((article.title, 10), (article.tags, 7)))
article.save()
redis_cli.incr("jobbole_count")
return