Image Pipeline
Image Pipeline的工作流程
- itemPipeline从item中获取需要下载的数据,通过Request重新放入到项目队列等待调度器调度下载
- 当图片下载完成,另一个组(images)将被更新到结构中,其中包括下载图片的信息,比如下载路径,源抓取地址(从image_urls组获得)和图片的校验码. images列表中的图片顺序将和源image_urls组保持一致.如果某个图片下载失败,将会记录下错误信息,图片也不会出现在images组中
案例
首先在settings中配置图片存放路径
IMAGES_STORE = './images'
在item中定义需要的数据结构
class Images360Item(scrapy.Item): # define the fields for your item here like: # name = scrapy.Field() collection = table = "images" id = scrapy.Field() title = scrapy.Field() url = scrapy.Field() thumb = scrapy.Field()
定义spider与parse
import scrapy from urllib.parse import urlencode from scrapy import Request from images360.images360.items import Images360Item class ImagesSpider(scrapy.Spider): name = 'images' allowed_domains = ['images.so.com'] start_urls = ['http://images.so.com/'] def start_requests(self): data = {'ch': 'photography', 'listtype': 'hot', } base_url = 'http://images.so.com/zj?' for page in range(1, self.settings.get('MAX_PAGE_SIZE') + 1): sn = page * 30 data['sn'] = sn params = urlencode(data) url = base_url + params print(url) yield Request(url, self.parse) def parse(self, response): html = json.loads(response.text) datas = html.get('list', '') if datas: for data in datas: images_item = Images360Item() images_item['id'] = data.get('imageid', '') images_item['title'] = data.get('group_title', '') images_item['url'] = data.get('qhimg_url', '') images_item['thumb'] = data.get('qhimg_thumb_url', '') yield images_item
定义项目管道
from scrapy import Request from scrapy.exceptions import DropItem from scrapy.pipelines.images import ImagesPipeline class ImagesPipeline(ImagesPipeline): # 将item中的url取出来 通过Request继续放入到调度器中执行 def get_media_requests(self, item, info): yield Request(item['url']) # request对应的是当前下载对象,该函数用于放回 文件名 def file_path(self, request, response=None, info=None): url = request.url print('url============', url) file_name = url.split('/')[-1] return file_name # 单个item完成下载时的处理方法 def item_completed(self,results,item,info): # results为Item对应的下载结果 # print(results) # [(True, {'url': 'http://p2.so.qhimgs1.com/t01b866193d9b2101de.jpg', 'path': 't01b866193d9b2101de.jpg', # 'checksum': 'e074b5cbacd22ac38480d84506fedf02'})] image_path = [x['path'] for ok,x in results if ok] if image_path: return item else: raise DropItem('image download failed')